Most-cited articles · 2023

The 100 most-cited articles in Alzheimer s & Dementia, 2023

Ranked by OpenAlex citation count on 29 October 2026, out of 6,990 eligible articles Alzheimer s & Dementia published in 2023. Ranks are frozen; this page will not change. Number one, with 3,206 citations: 2023 Alzheimer's disease facts and figures.

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6,990 articles
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Top 100 (1.4%)
Open access
100 of 100
Snapshot
2026-10-29

The most-cited articles published in Alzheimer's & Dementia in 2023 are led by broad public health and economic analyses, alongside biomarker and diagnostic research. The top paper, "2023 Alzheimer's disease facts and figures," has 3206 citations. Other highly cited works address the worldwide costs of dementia in 2019 (555 citations) and the structural and social determinants of Alzheimer's disease related dementias (250 citations). Studies of dementia prevalence, plasma biomarkers, and cognitive assessment tools also rank near the top.

The list offers a view of the research areas that drew the most citation attention in 2023, spanning epidemiology, health economics, biomarkers, machine learning, and risk factors. Readers can use it to identify frequently referenced articles and to see which topics attracted sustained interest within the field.

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    2023 Alzheimer's disease facts and figures

    3,206 citationsOpen accessdoi:10.1002/alz.13016OpenAlex

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    This article describes the public health impact of Alzheimer's disease, including prevalence and incidence, mortality and morbidity, use and costs of care, and the overall impact on family caregivers, the dementia workforce and society. The Special Report examines the patient journey from awareness of cognitive changes to potential treatment with drugs that change the underlying biology of Alzheimer's. An estimated 6.7 million Americans age 65 and older are living with Alzheimer's dementia today. This number could grow to 13.8 million by 2060 barring the development of medical breakthroughs to prevent, slow or cure AD. Official death certificates recorded 121,499 deaths from AD in 2019, and Alzheimer's disease was officially listed as the sixth-leading cause of death in the United States. In 2020 and 2021, when COVID-19 entered the ranks of the top ten causes of death, Alzheimer's was the seventh-leading cause of death. Alzheimer's remains the fifth-leading cause of death among Americans age 65 and older. Between 2000 and 2019, deaths from stroke, heart disease and HIV decreased,…

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    The worldwide costs of dementia in 2019

    Anders B. Wimo, Katrin Maria Seeher, Rodrigo Cataldi, Eva Cyhlarova, Joseph L. Dieleman and 9 more

    555 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12901OpenAlex

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    INTRODUCTION: Dementia is a leading cause of death and disability globally. Estimating total societal costs demonstrates the wide impact of dementia and its main direct and indirect economic components. METHODS: We constructed a global cost model for dementia, presenting costs as cumulated global and regional costs. RESULTS: In 2019, the annual global societal costs of dementia were estimated at US $1313.4 billion for 55.2 million people with dementia, corresponding to US $23,796 per person with dementia. Of the total, US $213.2 billion (16%) were direct medical costs, US $448.7 billion (34%) direct social sector costs (including long-term care), and US $651.4 billion (50%) costs of informal care. DISCUSSION: The huge costs of dementia worldwide place enormous strains on care systems and families alike. Although most people with dementia live in low- and middle-income countries, highest total and per-person costs are seen in high-income countries. HIGHLIGHTS: Global economic costs of dementia were estimated to reach US $1313.4 in 2019. Sixty-one percent of people with dementia live…

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    The structural and social determinants of Alzheimer's disease related dementias

    Paris B. Adkins‐Jackson, Kristen M. George, Lilah M. Besser, Jinshil Hyun, Melissa Lamar and 20 more

    250 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13027OpenAlex

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    INTRODUCTION: The projected growth of Alzheimer's disease (AD) and AD-related dementia (ADRD) cases by midcentury has expanded the research field and impelled new lines of inquiry into structural and social determinants of health (S/SDOH) as fundamental drivers of disparities in AD/ADRD. METHODS: In this review, we employ Bronfenbrenner's ecological systems theory as a framework to posit how S/SDOH impact AD/ADRD risk and outcomes. RESULTS: Bronfenbrenner defined the "macrosystem" as the realm of power (structural) systems that drive S/SDOH and that are the root cause of health disparities. These root causes have been discussed little to date in relation to AD/ADRD, and thus, macrosystem influences, such as racism, classism, sexism, and homophobia, are the emphasis in this paper. DISCUSSION: Under Bronfenbrenner's macrosystem framework, we highlight key quantitative and qualitative studies linking S/SDOH with AD/ADRD, identify scientific gaps in the literature, and propose guidance for future research. HIGHLIGHTS: Ecological systems theory links structural/social determinants to…

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    Prevalence of dementia in India: National and state estimates from a nationwide study

    Jinkook Lee, Erik Meijer, Kenneth M. Langa, Mary Ganguli, Mathew Varghese and 25 more

    239 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12928OpenAlex

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    INTRODUCTION: Prior estimates of dementia prevalence in India were based on samples from selected communities, inadequately representing the national and state populations. METHODS: From the Longitudinal Aging Study in India (LASI) we recruited a sample of adults ages 60+ and administered a rich battery of neuropsychological tests and an informant interview in 2018 through 2020. We obtained a clinical consensus rating of dementia status for a subsample (N = 2528), fitted a logistic model for dementia status on this subsample, and then imputed dementia status for all other LASI respondents aged 60+ (N = 28,949). RESULTS: The estimated dementia prevalence for adults ages 60+ in India is 7.4%, with significant age and education gradients, sex and urban/rural differences, and cross-state variation. DISCUSSION: An estimated 8.8 million Indians older than 60 years have dementia. The burden of dementia cases is unevenly distributed across states and subpopulations and may therefore require different levels of local planning and support. HIGHLIGHTS: The estimated dementia prevalence for…

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    Accuracy of the Montreal Cognitive Assessment tool for detecting mild cognitive impairment: A systematic review and meta‐analysis

    Nayaar Islam, Rola Hashem, Maryse Gad, Aime Brown, Brooke Levis and 3 more

    204 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13040OpenAlex

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    INTRODUCTION: This systematic review evaluates the accuracy of the Montreal Cognitive Assessment (MoCA) for detecting mild cognitive impairment (MCI). METHODS: We searched MEDLINE, PSYCInfo, EMBASE, and Cochrane CENTRAL (1995-2021) for studies comparing the MoCA with validated diagnostic criteria to identify MCI in general practice. Screening, data extraction, and risk of bias assessment were performed independently, in duplicate. Pooled sensitivity and specificity for MoCA cutoffs were estimated using bivariate meta-analysis. RESULTS: Thirteen studies [2158 participants, 948(44%) with MCI] were included; 10 used Petersen criteria as the reference standard. Risk of bias of studies were high or unclear for all domains except reference standard. Sensitivity and specificity were 73.5%(95% confidence interval: 56.7-85.5) and 91.3%(84.6-95.3) at cutoff <23; 79.5%(67.1-88.0) and 83.7%(75.4-89.6) at cutoff <24; and 83.8%(75.6-89.6) and 70.8(62.1-78.3) at cutoff <25. DISCUSSION: MoCA cutoffs <23 to <25 maximized the sum of sensitivity and specificity for detecting MCI. The risk of bias of…

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    Equivalence of plasma p‐tau217 with cerebrospinal fluid in the diagnosis of Alzheimer's disease

    Joseph Therriault, Stijn Servaes, Cécile Tissot, Nesrine Rahmouni, Nicholas James Ashton and 23 more

    174 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13026OpenAlex

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    Abstract INTRODUCTION Plasma biomarkers are promising tools for Alzheimer's disease (AD) diagnosis, but comparisons with more established biomarkers are needed. METHODS We assessed the diagnostic performance of p‐tau181, p‐tau217, and p‐tau231 in plasma and CSF in 174 individuals evaluated by dementia specialists and assessed with amyloid‐PET and tau‐PET. Receiver operating characteristic (ROC) analyses assessed the performance of plasma and CSF biomarkers to identify amyloid‐PET and tau‐PET positivity. RESULTS Plasma p‐tau biomarkers had lower dynamic ranges and effect sizes compared to CSF p‐tau. Plasma p‐tau181 (AUC = 76%) and p‐tau231 (AUC = 82%) assessments performed inferior to CSF p‐tau181 (AUC = 87%) and p‐tau231 (AUC = 95%) for amyloid‐PET positivity. However, plasma p‐tau217 (AUC = 91%) had diagnostic performance indistinguishable from CSF (AUC = 94%) for amyloid‐PET positivity. DISCUSSION Plasma and CSF p‐tau217 had equivalent diagnostic performance for biomarker‐defined AD. Our results suggest that plasma p‐tau217 may help reduce the need for invasive lumbar punctures…

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    Plasma Aβ42/Aβ40 and phospho‐tau217 concentration ratios increase the accuracy of amyloid PET classification in preclinical Alzheimer's disease

    Robert A. Rissman, Oliver Langford, Rema Raman, Michael Donohue, Sara Abdel‐Latif and 16 more

    157 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13542OpenAlex

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    INTRODUCTION: Incorporating blood-based Alzheimer's disease biomarkers such as tau and amyloid beta (Aβ) into screening algorithms may improve screening efficiency. METHODS: Plasma Aβ, phosphorylated tau (p-tau)181, and p-tau217 concentration levels from AHEAD 3-45 study participants were measured using mass spectrometry. Tau concentration ratios for each proteoform were calculated to normalize for inter-individual differences. Receiver operating characteristic (ROC) curve analysis was performed for each biomarker against amyloid positivity, defined by > 20 Centiloids. Mixture of experts analysis assessed the value of including tau concentration ratios into the existing predictive algorithm for amyloid positron emission tomography status. RESULTS: The area under the receiver operating curve (AUC) was 0.87 for Aβ42/Aβ40, 0.74 for phosphorylated variant p-tau181 ratio (p-tau181/np-tau181), and 0.92 for phosphorylated variant p-tau217 ratio (p-tau217/np-tau217). The Plasma Predicted Centiloid (PPC), a predictive model including p-tau217/np-tau217, Aβ42/Aβ40, age, and apolipoprotein E…

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    Interpretable machine learning for dementia: A systematic review

    Sophie A. Martin, Florence J. Townend, Frederik Barkhof, James Howard Cole

    147 citationsOpen access (CC-BY)doi:10.1002/alz.12948OpenAlex

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    INTRODUCTION: Machine learning research into automated dementia diagnosis is becoming increasingly popular but so far has had limited clinical impact. A key challenge is building robust and generalizable models that generate decisions that can be reliably explained. Some models are designed to be inherently "interpretable," whereas post hoc "explainability" methods can be used for other models. METHODS: Here we sought to summarize the state-of-the-art of interpretable machine learning for dementia. RESULTS: We identified 92 studies using PubMed, Web of Science, and Scopus. Studies demonstrate promising classification performance but vary in their validation procedures and reporting standards and rely heavily on popular data sets. DISCUSSION: Future work should incorporate clinicians to validate explanation methods and make conclusive inferences about dementia-related disease pathology. Critically analyzing model explanations also requires an understanding of the interpretability methods itself. Patient-specific explanations are also required to demonstrate the benefit of…

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    Sex differences in dementia risk and risk factors: Individual‐participant data analysis using 21 cohorts across six continents from the COSMIC consortium

    Jessica Gong, Katie Harris, Darren M. Lipnicki, Erico Castro‐Costa, Maria Fernanda Lima‐Costa and 25 more

    140 citationsOpen access (CC-BY)doi:10.1002/alz.12962OpenAlex

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    INTRODUCTION: Sex differences in dementia risk, and risk factor (RF) associations with dementia, remain uncertain across diverse ethno-regional groups. METHODS: A total of 29,850 participants (58% women) from 21 cohorts across six continents were included in an individual participant data meta-analysis. Sex-specific hazard ratios (HRs), and women-to-men ratio of hazard ratios (RHRs) for associations between RFs and all-cause dementia were derived from mixed-effect Cox models. RESULTS: Incident dementia occurred in 2089 (66% women) participants over 4.6 years (median). Women had higher dementia risk (HR, 1.12 [1.02, 1.23]) than men, particularly in low- and lower-middle-income economies. Associations between longer education and former alcohol use with dementia risk (RHR, 1.01 [1.00, 1.03] per year, and 0.55 [0.38, 0.79], respectively) were stronger for men than women; otherwise, there were no discernible sex differences in other RFs. DISCUSSION: Dementia risk was higher in women than men, with possible variations by country-level income settings, but most RFs appear to work…

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    White matter hyperintensities in Alzheimer's disease: Beyond vascular contribution

    Antoine Garnier‐Crussard, François Cotton, Pierre Krolak‐Salmon, Gaël Chételat

    139 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13057OpenAlex

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    White matter hyperintensities (WMH), frequently seen in older adults, are usually considered vascular lesions, and participate in the vascular contribution to cognitive impairment and dementia. However, emerging evidence highlights the heterogeneity of WMH pathophysiology, suggesting that non-vascular mechanisms could also be involved, notably in Alzheimer's disease (AD). This led to the alternative hypothesis that in AD, part of WMH may be secondary to AD-related processes. The current perspective brings together the arguments from different fields of research, including neuropathology, neuroimaging and fluid biomarkers, and genetics, in favor of this alternative hypothesis. Possible underlying mechanisms leading to AD-related WMH, such as AD-related neurodegeneration or neuroinflammation, are discussed, as well as implications for diagnostic criteria and management of AD. We finally discuss ways to test this hypothesis and remaining challenges. Acknowledging the heterogeneity of WMH and the existence of AD-related WMH may improve personalized diagnosis and care of patients.

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    Artificial intelligence for biomarker discovery in Alzheimer's disease and dementia

    Laura M. Winchester, Eric L. Harshfield, Liu Shi, AmanPreet Badhwar, Ahmad Al Khleifat and 13 more

    130 citationsOpen access (CC-BY)doi:10.1002/alz.13390OpenAlex

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    With the increase in large multimodal cohorts and high-throughput technologies, the potential for discovering novel biomarkers is no longer limited by data set size. Artificial intelligence (AI) and machine learning approaches have been developed to detect novel biomarkers and interactions in complex data sets. We discuss exemplar uses and evaluate current applications and limitations of AI to discover novel biomarkers. Remaining challenges include a lack of diversity in the data sets available, the sheer complexity of investigating interactions, the invasiveness and cost of some biomarkers, and poor reporting in some studies. Overcoming these challenges will involve collecting data from underrepresented populations, developing more powerful AI approaches, validating the use of noninvasive biomarkers, and adhering to reporting guidelines. By harnessing rich multimodal data through AI approaches and international collaborative innovation, we are well positioned to identify clinically useful biomarkers that are accurate, generalizable, unbiased, and acceptable in clinical practice.…

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    Artificial intelligence for diagnostic and prognostic neuroimaging in dementia: A systematic review

    Robin Jacob Borchert, Tiago Azevedo, AmanPreet Badhwar, José Bernal, Matthew J. Betts and 25 more

    125 citationsOpen access (CC-BY)doi:10.1002/alz.13412OpenAlex

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    INTRODUCTION: Artificial intelligence (AI) and neuroimaging offer new opportunities for diagnosis and prognosis of dementia. METHODS: We systematically reviewed studies reporting AI for neuroimaging in diagnosis and/or prognosis of cognitive neurodegenerative diseases. RESULTS: A total of 255 studies were identified. Most studies relied on the Alzheimer's Disease Neuroimaging Initiative dataset. Algorithmic classifiers were the most commonly used AI method (48%) and discriminative models performed best for differentiating Alzheimer's disease from controls. The accuracy of algorithms varied with the patient cohort, imaging modalities, and stratifiers used. Few studies performed validation in an independent cohort. DISCUSSION: The literature has several methodological limitations including lack of sufficient algorithm development descriptions and standard definitions. We make recommendations to improve model validation including addressing key clinical questions, providing sufficient description of AI methods and validating findings in independent datasets. Collaborative approaches…

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    Astrocyte biomarkers GFAP and YKL‐40 mediate early Alzheimer's disease progression

    Wiesje Pelkmans, Mahnaz Shekari, Anna Brugulat‐Serrat, Gonzalo Sánchez‐Benavides, Carolina Minguillón and 12 more

    122 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13450OpenAlex

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    Abstract INTRODUCTION We studied how biomarkers of reactive astrogliosis mediate the pathogenic cascade in the earliest Alzheimer's disease (AD) stages. METHODS We performed path analysis on data from 384 cognitively unimpaired individuals from the ALzheimer and FAmilies (ALFA)+ study using structural equation modeling to quantify the relationships between biomarkers of reactive astrogliosis and the AD pathological cascade. RESULTS Cerebrospinal fluid (CSF) amyloid beta (Aβ)42/40 was associated with Aβ aggregation on positron emission tomography (PET) and with CSF p‐tau181, which was in turn directly associated with CSF neurofilament light (NfL). Plasma glial fibrillary acidic protein (GFAP) mediated the relationship between CSF Aβ42/40 and Aβ‐PET, and CSF YKL‐40 partly explained the association between Aβ‐PET, p‐tau181, and NfL. DISCUSSION Our results suggest that reactive astrogliosis, as indicated by different fluid biomarkers, influences the pathogenic cascade during the preclinical stage of AD. While plasma GFAP mediates the early association between soluble and insoluble Aβ,…

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    Senescence, brain inflammation, and oligomeric tau drive cognitive decline in Alzheimer's disease: Evidence from clinical and preclinical studies

    Sagar Gaikwad, Sudipta Senapati, Md. Anzarul Haque, Rakez Kayed

    115 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13490OpenAlex

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    Aging, tau pathology, and chronic inflammation in the brain play crucial roles in synaptic loss, neurodegeneration, and cognitive decline in tauopathies, including Alzheimer's disease. Senescent cells accumulate in the aging brain, accelerate the aging process, and promote tauopathy progression through their abnormal inflammatory secretome known as the senescence-associated secretory phenotype (SASP). Tau oligomers (TauO)-the most neurotoxic tau species-are known to induce senescence and the SASP, which subsequently promote neuropathology, inflammation, oxidative stress, synaptic dysfunction, neuronal death, and cognitive dysfunction. TauO, brain inflammation, and senescence are associated with heterogeneity in tauopathy progression and cognitive decline. However, the underlying mechanisms driving the disease heterogeneity remain largely unknown, impeding the development of therapies for tauopathies. Based on clinical and preclinical evidence, this review highlights the critical role of TauO and senescence in neurodegeneration. We discuss key knowledge gaps and potential strategies…

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    Association between metabolic syndrome and risk of incident dementia in UK Biobank

    Danial Qureshi, Jennifer A. Collister, Naomi E. Allen, Elżbieta Kuźma, Thomas J. Littlejohns

    115 citationsOpen access (CC-BY)doi:10.1002/alz.13439OpenAlex

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    INTRODUCTION: The association between metabolic syndrome (MetS) and incident dementia remains inconclusive. METHODS: In 176,249 dementia-free UK Biobank participants aged ≥60 years at baseline, Cox proportional-hazards models were used to investigate the association between MetS and incident dementia. MetS was defined as the presence of ≥3 of the following: elevated waist circumference, triglycerides, blood pressure, blood glucose, and reduced high-density lipoprotein cholesterol. RESULTS: Over 15 years of follow-up (median = 12.3), 5255 participants developed dementia. MetS was associated with an increased risk of incident dementia (hazard ratio [HR]: 1.12, 95% confidence interval [CI]: 1.06, 1.18). The association remained consistent when restricting to longer follow-up intervals: >5 to 10 years (HR: 1.17, 95% CI: 1.07, 1.27) and >10 years (HR: 1.22, 95% CI: 1.12, 1.32). Stronger associations were observed in those with ≥4 MetS components and in apolipoprotein-E (APOE)-ε4 non-carriers. DISCUSSION: In this large population-based prospective cohort, MetS was associated with an…

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    The Alzheimer's Disease Neuroimaging Initiative in the era of Alzheimer's disease treatment: A review of ADNI studies from 2021 to 2022

    Dallas P. Veitch, Michael Walter Weiner, Melanie Jayne Miller, Paul S. S. Aisen, Miriam T. Ashford and 18 more

    113 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13449OpenAlex

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    The Alzheimer's Disease Neuroimaging Initiative (ADNI) aims to improve Alzheimer's disease (AD) clinical trials. Since 2006, ADNI has shared clinical, neuroimaging, and cognitive data, and biofluid samples. We used conventional search methods to identify 1459 publications from 2021 to 2022 using ADNI data/samples and reviewed 291 impactful studies. This review details how ADNI studies improved disease progression understanding and clinical trial efficiency. Advances in subject selection, detection of treatment effects, harmonization, and modeling improved clinical trials and plasma biomarkers like phosphorylated tau showed promise for clinical use. Biomarkers of amyloid beta, tau, neurodegeneration, inflammation, and others were prognostic with individualized prediction algorithms available online. Studies supported the amyloid cascade, emphasized the importance of neuroinflammation, and detailed widespread heterogeneity in disease, linked to genetic and vascular risk, co-pathologies, sex, and resilience. Biological subtypes were consistently observed. Generalizability of ADNI…

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    Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records

    Qian Li, Xi Yang, Jie Xu, Yi Maggie Guo, Xing He and 12 more

    112 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12967OpenAlex

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    INTRODUCTION: This study aims to explore machine learning (ML) methods for early prediction of Alzheimer's disease (AD) and related dementias (ADRD) using the real-world electronic health records (EHRs). METHODS: A total of 23,835 ADRD and 1,038,643 control patients were identified from the OneFlorida+ Research Consortium. Two ML methods were used to develop the prediction models. Both knowledge-driven and data-driven approaches were explored. Four computable phenotyping algorithms were tested. RESULTS: The gradient boosting tree (GBT) models trained with the data-driven approach achieved the best area under the curve (AUC) scores of 0.939, 0.906, 0.884, and 0.854 for early prediction of ADRD 0, 1, 3, or 5 years before diagnosis, respectively. A number of important clinical and sociodemographic factors were identified. DISCUSSION: We tested various settings and showed the predictive ability of using ML approaches for early prediction of ADRD with EHRs. The models can help identify high-risk individuals for early informed preventive or prognostic clinical decisions.

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    MicroRNA expression in extracellular vesicles as a novel blood‐based biomarker for Alzheimer's disease

    Ashish Kumar, Yixin Su, Mitu Sharma, Sangeeta Singh, Susy Kim and 7 more

    109 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13055OpenAlex

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    Abstract INTRODUCTION Brain cell–derived small extracellular vesicles (sEVs) in blood offer unique cellular and molecular information related to the onset and progression of Alzheimer's disease (AD). We simultaneously enriched six specific sEV subtypes from the plasma and analyzed a selected panel of microRNAs (miRNAs) in older adults with/without cognitive impairment. METHODS Total sEVs were isolated from the plasma of participants with normal cognition (CN; n = 11), mild cognitive impairment (MCI; n = 11), MCI conversion to AD dementia (MCI‐AD; n = 6), and AD dementia ( n = 11). Various brain cell–derived sEVs (from neurons, astrocytes, microglia, oligodendrocytes, pericytes, and endothelial cells) were enriched and analyzed for specific miRNAs. RESULTS miRNAs in sEV subtypes differentially expressed in MCI, MCI‐AD, and AD dementia compared to the CN group clearly distinguished dementia status, with an area under the curve (AUC) > 0.90 and correlated with the temporal cortical region thickness on magnetic resonance imaging (MRI). DISCUSSION miRNA analyses in specific sEVs could…

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    Global rural health disparities in Alzheimer's disease and related dementias: State of the science

    Lisa Kirk Wiese, Allison Gibson, Marc Aaron Guest, Amy R. Nelson, Raven H. Weaver and 25 more

    106 citationsOpen accessdoi:10.1002/alz.13104OpenAlex

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    INTRODUCTION: Individuals living in rural communities are at heightened risk for Alzheimer's disease and related dementias (ADRD), which parallels other persistent place-based health disparities. Identifying multiple potentially modifiable risk factors specific to rural areas that contribute to ADRD is an essential first step in understanding the complex interplay between various barriers and facilitators. METHODS: An interdisciplinary, international group of ADRD researchers convened to address the overarching question of: "What can be done to begin minimizing the rural health disparities that contribute uniquely to ADRD?" In this state of the science appraisal, we explore what is known about the biological, behavioral, sociocultural, and environmental influences on ADRD disparities in rural settings. RESULTS: A range of individual, interpersonal, and community factors were identified, including strengths of rural residents in facilitating healthy aging lifestyle interventions. DISCUSSION: A location dynamics model and ADRD-focused future directions are offered for guiding rural…

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    Effects of a ketogenic and low‐fat diet on the human metabolome, microbiome, and foodome in adults at risk for Alzheimer's disease

    Amanda Hazel Dilmore, Cameron Martino, Bryan J. Neth, Kiana West, Jasmine Zemlin and 10 more

    102 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13007OpenAlex

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    INTRODUCTION: The ketogenic diet (KD) is an intriguing therapeutic candidate for Alzheimer's disease (AD) given its protective effects against metabolic dysregulation and seizures. Gut microbiota are essential for KD-mediated neuroprotection against seizures as well as modulation of bile acids, which play a major role in cholesterol metabolism. These relationships motivated our analysis of gut microbiota and metabolites related to cognitive status following a controlled KD intervention compared with a low-fat-diet intervention. METHODS: Prediabetic adults, either with mild cognitive impairment (MCI) or cognitively normal (CN), were placed on either a low-fat American Heart Association diet or high-fat modified Mediterranean KD (MMKD) for 6 weeks; then, after a 6-week washout period, they crossed over to the alternate diet. We collected stool samples for shotgun metagenomics and untargeted metabolomics at five time points to investigate individuals' microbiome and metabolome throughout the dietary interventions. RESULTS: Participants with MCI on the MMKD had lower levels of…

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    Study design and methods: U.S. study to protect brain health through lifestyle intervention to reduce risk (U.S. POINTER)

    Laura D. Baker, Heather M. Snyder, Mark Andrew Espeland, Rachel A. Whitmer, Miia Kivipelto and 25 more

    98 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13365OpenAlex

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    INTRODUCTION: The U.S. study to protect brain health through lifestyle intervention to reduce risk (U.S. POINTER) is conducted to confirm and expand the results of the Finnish Geriatric Intervention Study to Prevent Cognitive Impairment and Disability (FINGER) in Americans. METHODS: U.S. POINTER was planned as a 2-year randomized controlled trial of two lifestyle interventions in 2000 older adults at risk for dementia due to well-established factors. The primary outcome is a global cognition composite that permits harmonization with FINGER. RESULTS: U.S. POINTER is centrally coordinated and conducted at five clinical sites (ClinicalTrials.gov: NCT03688126). Outcomes assessments are completed at baseline and every 6 months. Both interventions focus on exercise, diet, cognitive/social stimulation, and cardiovascular health, but differ in intensity and accountability. The study partners with a worldwide network of similar trials for harmonization of methods and data sharing. DISCUSSION: U.S. POINTER is testing a potentially sustainable intervention to support brain health and…

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    Pathogenesis of Alzheimer's disease: Involvement of the choroid plexus

    Mária E. Čarná, Isaac G. Onyango, Stanislav Katina, Dušan Holub, Jan Novotný and 25 more

    96 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12970OpenAlex

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    The choroid plexus (ChP) produces and is bathed in the cerebrospinal fluid (CSF), which in aging and Alzheimer's disease (AD) shows extensive proteomic alterations including evidence of inflammation. Considering inflammation hampers functions of the involved tissues, the CSF abnormalities reported in these conditions are suggestive of ChP injury. Indeed, several studies document ChP damage in aging and AD, which nevertheless remains to be systematically characterized. We here report that the changes elicited in the CSF by AD are consistent with a perturbed aging process and accompanied by aberrant accumulation of inflammatory signals and metabolically active proteins in the ChP. Magnetic resonance imaging (MRI) imaging shows that these molecular aberrancies correspond to significant remodeling of ChP in AD, which correlates with aging and cognitive decline. Collectively, our preliminary post-mortem and in vivo findings reveal a repertoire of ChP pathologies indicative of its dysfunction and involvement in the pathogenesis of AD. HIGHLIGHTS: Cerebrospinal fluid changes associated…

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    Expectations and clinical meaningfulness of randomized controlled trials

    Ronald Carl Petersen, Paul S. S Aisen, Jeffrey Scott Andrews, Alireza Atri, Brandy R. Matthews and 4 more

    95 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12959OpenAlex

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    Alzheimer's disease (AD) clinical trials are designed and powered to detect the impact of a therapeutic intervention, and there has been considerable discussion on what constitutes a clinically meaningful change in those receiving treatment versus placebo. The pathology of AD is complex, beginning many years before clinical symptoms are detectable, with multiple potential opportunities for therapeutic engagement. Introducing treatment strategies early in the disease and assessing meaningful change over the course of an 18-month clinical trial are critical to understanding the value to an effective intervention. With new clinical trial data expected soon on emerging therapeutics from several AD studies, the Alzheimer's Association convened a work group of experts to discuss key considerations for interpreting data from cognitive and functional measures and what is considered a clinically meaningful benefit or meaningful slowing of this fatal disease. Our expectations of outcomes from therapeutic interventions in AD may need to be modified.

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    Longitudinal changes in Alzheimer's‐related plasma biomarkers and brain amyloid

    Murat Bilgel, Yang An, Keenan A. Walker, Abhay Moghekar, Nicholas James Ashton and 8 more

    94 citationsOpen accessdoi:10.1002/alz.13157OpenAlex

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    Abstract INTRODUCTION Understanding longitudinal plasma biomarker trajectories relative to brain amyloid changes can help devise Alzheimer's progression assessment strategies. METHODS We examined the temporal order of changes in plasma amyloid‐β ratio (), glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), and phosphorylated tau ratios (, ) relative to 11 C‐Pittsburgh compound B (PiB) positron emission tomography (PET) cortical amyloid burden (PiB−/+). Participants ( n = 199) were cognitively normal at index visit with a median 6.1‐year follow‐up. RESULTS PiB groups exhibited different rates of longitudinal change in . Change in brain amyloid correlated with change in GFAP ( r = 0.5, 95% CI = [0.26, 0.68]). The greatest relative decline in (−1%/year) preceded brain amyloid positivity by 41 years (95% CI = [32, 53]). DISCUSSION Plasma may begin declining decades prior to brain amyloid accumulation, whereas p‐tau ratios, GFAP, and NfL increase closer in time. HIGHLIGHTS Plasma declines over time among PiB− but does not change among PiB+. Phosphorylated‐tau to Aβ…

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    A novel ultrasensitive assay for plasma p‐tau217: Performance in individuals with subjective cognitive decline and early Alzheimer's disease

    Fernando González‐Ortiz, Pâmela C.L. Ferreira, Armand González‐Escalante, Laia Montoliu‐Gaya, Paula Ortiz‐Romero and 17 more

    93 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13525OpenAlex

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    INTRODUCTION: Detection of Alzheimer's disease (AD) pathophysiology among cognitively unimpaired individuals and those experiencing subjective cognitive decline (SCD) remains challenging. Plasma p-tau217 is one of the most promising of the emerging biomarkers for AD. However, accessible methods are limited. METHODS: We employed a novel p-tau217 immunoassay (UGOT p-tau217) in four independent cohorts (n=308) including a cerebrospinal fluid (CSF) biomarker-classified cohort (Discovery), two cohorts consisting mostly of cognitively unimpaired participants (MYHAT and Pittsburgh), and a population-based cohort of individuals with SCD (β-AARC). RESULTS: UGOT p-tau217 showed high accuracy (AUC= 0.80-0.91) identifying Aβ pathology, determined either by Aβ positron emission tomography or CSF Aβ42/40 ratio. In individuals experiencing SCD, UGOT p-tau217 showed high accuracy identifying those with a positive CSF Aβ42/40 ratio (AUC= 0.91). DISCUSSION: UGOT p-tau217 can be an easily accessible and efficient way to screen and monitor patients with suspected AD pathophysiology, even in the early…

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    A multidomain intervention against cognitive decline in an at‐risk‐population in Germany: Results from the cluster‐randomized AgeWell.de trial

    Andrea E. Zülke, Alexander Pabst, Melanie Luppa, Susanne Röhr, Hanna Marita Seidling and 20 more

    90 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13486OpenAlex

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    INTRODUCTION: We investigated the effectiveness of a multidomain intervention to preserve cognitive function in older adults at risk for dementia in Germany in a cluster-randomized trial. METHODS: Individuals with a Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) risk score ≥ 9 aged 60 to 77 years were recruited. After randomization of their general practitioner (GP), patients received a multidomain intervention (including optimization of nutrition and medication, and physical, social, and cognitive activity) or general health advice and GP treatment as usual over 24 months. Primary outcome was global cognitive performance (composite z score, based on domain-specific neuropsychological tests). RESULTS: Of 1030 participants at baseline, n = 819 completed the 24-month follow-up assessment. No differences regarding global cognitive performance (average marginal effect = 0.010, 95% confidence interval: -0.113, 0.133) were found between groups at follow-up. Perceived restrictions in intervention conduct by the COVID-19 pandemic did not impact intervention effectiveness.…

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    Prevalence of Alzheimer's disease dementia in the 50 US states and 3142 counties: A population estimate using the 2020 bridged‐race postcensal from the National Center for Health Statistics

    Klodian Dhana, Todd L. Beck, Pankaja Desai, Robert S. Wilson, Denis A. Evans and 1 more

    90 citationsOpen accessdoi:10.1002/alz.13081OpenAlex

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    INTRODUCTION: This study estimates the prevalence and number of people living with Alzheimer's disease (AD) dementia in 50 US states and 3142 counties. METHODS: We used cognitive data from the Chicago Health and Aging Project, a population-based study, and combined it with the National Center for Health Statistics 2020 bridged-race population estimates to determine the prevalence of AD in adults ≥65 years. RESULTS: A higher prevalence of AD was estimated in the east and southeastern regions of the United States, with the highest in Maryland (12.9%), New York (12.7%), and Mississippi (12.5%). US states with the highest number of people with AD were California, Florida, and Texas. Among larger counties, those with the highest prevalence of AD were Miami-Dade County in Florida, Baltimore city in Maryland, and Bronx County in New York. DISCUSSION: The state- and county-specific estimates could help public health officials develop region-specific strategies for caring for people with AD.

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    Consensus definition of advance care planning in dementia: A 33‐country Delphi study

    Jenny Theodora van der Steen, Miharu Nakanishi, Lieve Van den Block, Paola Di Giulio, Silvia Gonella and 10 more

    89 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13526OpenAlex

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    INTRODUCTION: Existing advance care planning (ACP) definitional frameworks apply to individuals with decision-making capacity. We aimed to conceptualize ACP for dementia in terms of its definition and issues that deserve particular attention. METHODS: Delphi study with phases: (A) adaptation of a generic ACP framework by a task force of the European Association for Palliative Care (EAPC); (B) four online surveys by 107 experts from 33 countries, September 2021 to June 2022; (C) approval by the EAPC board. RESULTS: ACP in dementia was defined as a communication process adapted to the person's capacity, which includes, and is continued with, family if available. We identified pragmatic boundaries regarding participation and time (i.e., current or end-of-life care). Three interrelated issues that deserve particular attention were capacity, family, and engagement and communication. DISCUSSION: A communication and relationship-centered definitional framework of ACP in dementia evolved through international consensus supporting inclusiveness of persons with dementia and their family.…

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    Longitudinal blood biomarker trajectories in preclinical Alzheimer's disease

    Yara Yakoub, Nicholas James Ashton, Cherie Strikwerda‐Brown, Laia Montoliu‐Gaya, Thomas K. Karikari and 12 more

    85 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13318OpenAlex

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    Abstract INTRODUCTION Plasma biomarkers are altered years prior to Alzheimer's disease (AD) clinical onset. METHODS We measured longitudinal changes in plasma amyloid‐beta (Aβ)42/40 ratio, pTau181, pTau231, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) in a cohort of older adults at risk of AD (n = 373 total, n = 229 with Aβ and tau positron emission tomography [PET] scans) considering genetic and demographic factors as possible modifiers of these markers’ progression. RESULTS Aβ42/40 ratio concentrations decreased, while NfL and GFAP values increased over the 4‐year follow‐up. Apolipoprotein E (APOE) ε4 carriers showed faster increase in plasma pTau181 than non‐carriers. Older individuals showed a faster increase in plasma NfL, and females showed a faster increase in plasma GFAP values. In the PET subsample, individuals both Aβ‐PET and tau‐PET positive showed faster plasma pTau181 and GFAP increase compared to PET‐negative individuals. DISCUSSION Plasma markers can track biological change over time, with plasma pTau181 and GFAP markers showing…

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    Acute sleep loss decreases CSF‐to‐blood clearance of Alzheimer's disease biomarkers

    Haiyan Liu, Nicolas R. Barthélemy, Vitaliy Ovod, James G. Bollinger, Yingxin He and 4 more

    85 citationsOpen accessdoi:10.1002/alz.12930OpenAlex

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    INTRODUCTION: Sleep deprivation increases cerebrospinal fluid (CSF) amyloid beta (Aβ) and tau levels; however, sleep's effect on Aβ and tau in plasma is unknown. METHODS: In a cross-over design, CSF Aβ and tau concentrations were measured in five cognitively normal individuals who had blood and CSF collected every 2 hours for 36 hours during sleep-deprived and normal sleep control conditions. RESULTS: Aβ40, Aβ42, unphosphorylated tau threonine181 (T181), unphosphorylated tau threonine-217 (T217), and phosphorylated T181 (pT181) concentrations increased ∼35% to 55% in CSF and decreased ∼5% to 15% in plasma during sleep deprivation. CSF/plasma ratios of all Alzheimer's disease (AD) biomarkers increased during sleep deprivation while the CSF/plasma albumin ratio, a measure of blood-CSF barrier permeability, decreased. CSF and plasma Aβ42/40, pT181/T181, and pT181/Aβ42 ratios were stable longitudinally in both groups. DISCUSSION: These findings show that sleep loss alters some plasma AD biomarkers by lowering brain clearance mechanisms and needs to be taken into account when…

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    The impact of tau deposition and hypometabolism on cognitive impairment and longitudinal cognitive decline

    Cecilia Boccalini, Federica Ribaldi, Inès Hristovska, Annachiara Arnone, Débora Elisa Peretti and 5 more

    82 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13355OpenAlex

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    INTRODUCTION: Tau and neurodegeneration strongly correlate with cognitive impairment, as compared to amyloid. However, their contribution in explaining cognition and predicting cognitive decline in memory clinics remains unclarified. METHODS: We included 94 participants with Mini-Mental State Examination (MMSE), tau positron emission tomography (PET), amyloid PET, fluorodeoxyglucose (FDG) PET, and MRI scans from Geneva Memory Center. Linear regression and mediation analyses tested the independent and combined association between biomarkers, cognitive performance, and decline. Linear mixed-effects and Cox proportional hazards models assessed biomarkers' prognostic values. RESULTS: Metabolism had the strongest association with cognition (r = 0.712; p < 0.001), followed by tau (r = -0.682; p < 0.001). Neocortical tau showed the strongest association with cognitive decline (r = -0.677; p < 0.001). Metabolism mediated the association between tau and cognition and marginally mediated the one with decline. Tau positivity represented the strongest risk factor for decline (hazard ratio =…

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    Associations of blood cell indices and anemia with risk of incident dementia: A prospective cohort study of 313,448 participants

    Yi‐Xuan Qiang, Yue‐Ting Deng, Ya-Ru Zhang, Hui-Fu Wang, Wei Zhang and 4 more

    79 citationsOpen access (OTHER-OA)doi:10.1002/alz.13088OpenAlex

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    INTRODUCTION: Low hemoglobin and anemia are associated with cognitive impairment and Alzheimer's disease (AD). However, the associations of other blood cell indices with incident dementia risk and the underlined mechanisms are unknown. METHODS: Three hundred thirteen thousand four hundred forty-eight participants from the UK Biobank were included. Cox and restricted cubic spline models were used to investigate linear and non-linear longitudinal associations. Mendelian randomization analysis was used to identify causal associations. Linear regression models were used to explore potential mechanisms driven by brain structures. RESULTS: During a mean follow-up of 9.03 years, 6833 participants developed dementia. Eighteen indices were associated with dementia risk regarding erythrocytes, immature erythrocytes, and leukocytes. Anemia was associated with a 56% higher risk of developing dementia. Hemoglobin and red blood cell distribution width were causally associated with AD. Extensive associations exist between most blood cell indices and brain structures. DISCUSSION: These findings…

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    Amyloid and tau‐PET in early‐onset AD: Baseline data from the Longitudinal Early‐onset Alzheimer's Disease Study (LEADS)

    Hanna Cho, Nidhi S. Mundada, Liana G. Apostolova, María C. Carrillo, Ranjani P. Shankar and 25 more

    78 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13453OpenAlex

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    INTRODUCTION: We aimed to describe baseline amyloid-beta (Aβ) and tau-positron emission tomograrphy (PET) from Longitudinal Early-onset Alzheimer's Disease Study (LEADS), a prospective multi-site observational study of sporadic early-onset Alzheimer's disease (EOAD). METHODS: We analyzed baseline [18F]Florbetaben (Aβ) and [18F]Flortaucipir (tau)-PET from cognitively impaired participants with a clinical diagnosis of mild cognitive impairment (MCI) or AD dementia aged < 65 years. Florbetaben scans were used to distinguish cognitively impaired participants with EOAD (Aβ+) from EOnonAD (Aβ-) based on the combination of visual read by expert reader and image quantification. RESULTS: 243/321 (75.7%) of participants were assigned to the EOAD group based on amyloid-PET; 231 (95.1%) of them were tau-PET positive (A+T+). Tau-PET signal was elevated across cortical regions with a parietal-predominant pattern, and higher burden was observed in younger and female EOAD participants. DISCUSSION: LEADS data emphasizes the importance of biomarkers to enhance diagnostic accuracy in EOAD. The…

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    Biological variation estimates of Alzheimer's disease plasma biomarkers in healthy individuals

    Wagner Scheeren Brum, Nicholas James Ashton, Joel Simrén, Guglielmo Di Molfetta, Thomas K. Karikari and 15 more

    77 citationsOpen access (CC-BY)doi:10.1002/alz.13518OpenAlex

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    Abstract INTRODUCTION Blood biomarkers have proven useful in Alzheimer's disease (AD) research. However, little is known about their biological variation (BV), which improves the interpretation of individual‐level data. METHODS We measured plasma amyloid beta (Aβ42, Aβ40), phosphorylated tau (p‐tau181, p‐tau217, p‐tau231), glial fibrillary acidic protein (GFAP), and neurofilament light chain (NfL) in plasma samples collected weekly over 10 weeks from 20 participants aged 40 to 60 years from the European Biological Variation Study. We estimated within‐ (CV I ) and between‐subject (CV G ) BV, analytical variation, and reference change values (RCV). RESULTS Biomarkers presented considerable variability in CV I and CV G . Aβ42/Aβ40 had the lowest CV I (≈ 3%) and p‐tau181 the highest (≈ 16%), while others ranged from 6% to 10%. Most RCVs ranged from 20% to 30% (decrease) and 25% to 40% (increase). DISCUSSION BV estimates for AD plasma biomarkers can potentially refine their clinical and research interpretation. RCVs might be useful for detecting significant changes between serial…

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    Lower myelin content is associated with more rapid cognitive decline among cognitively unimpaired individuals

    Zhaoyuan Gong, Murat Bilgel, Matthew Kiely, Curtis Triebswetter, Luigi Ferrucci and 3 more

    75 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12968OpenAlex

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    Abstract Introduction The influence of myelination on longitudinal changes in cognitive performance remains unclear. Methods For each participant (N = 123), longitudinal cognitive scores were calculated. Myelin content was probed using myelin water fraction (MWF) or longitudinal relaxation rate (R1); both are MRI measures sensitive to myelin, with MWF being specific. Results Lower MWF was associated with steeper declines in executive function (p < .02 in all regions) and lower R1 was associated with steeper declines in verbal fluency (p < .03 in all regions). Additionally, lower R1 was associated with steeper declines in executive function (p < .02 in all regions) and memory (p < .04 in occipital and cerebral white matter) but did not survive Bonferroni correction. Discussion We demonstrate significant relationships between myelin content and the rates of change in cognitive performance among cognitively normal individuals. These findings highlight the importance of myelin in cognitive functioning and suggest MWF and R1 as imaging biomarkers to predict cognitive changes.

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    Umbrella review and Delphi study on modifiable factors for dementia risk reduction

    Colin Rosenau, Sebastian Köhler, Lion M. Soons, Kaarin Jane Anstey, Carol Brayne and 15 more

    74 citationsOpen access (CC-BY)doi:10.1002/alz.13577OpenAlex

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    A 2013 systematic review and Delphi consensus study identified 12 modifiable risk and protective factors for dementia, which were subsequently merged into the "LIfestyle for BRAin health" (LIBRA) score. We systematically evaluated whether LIBRA requires revision based on new evidence. To identify modifiable risk and protective factors suitable for dementia risk reduction, we combined an umbrella review of systematic reviews and meta-analyses with a two-round Delphi consensus study. The review of 608 unique primary studies and opinions of 18 experts prioritized six modifiable factors: hearing impairment, social contact, sleep, life course inequalities, atrial fibrillation, and psychological stress. Based on expert ranking, hearing impairment, social contact, and sleep were considered the most suitable candidates for inclusion in updated dementia risk scores. As such, the current study shows that dementia risk scores need systematic updates based on emerging evidence. Future studies will validate the updated LIBRA score in different cohorts. HIGHLIGHTS: An umbrella review was combined…

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    When the central integrator disintegrates: A review of the role of the thalamus in cognition and dementia

    J. Matthijs Biesbroek, Marieke G. Verhagen, Stefan Van der Stigchel, Geert Jan Biessels

    74 citationsOpen access (CC-BY)doi:10.1002/alz.13563OpenAlex

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    The thalamus is a complex neural structure with numerous anatomical subdivisions and intricate connectivity patterns. In recent decades, the traditional view of the thalamus as a relay station and "gateway to the cortex" has expanded in recognition of its role as a central integrator of inputs from sensory systems, cortex, basal ganglia, limbic systems, brain stem nuclei, and cerebellum. As such, the thalamus is critical for numerous aspects of human cognition, mood, and behavior, as well as serving sensory processing and motor functions. Thalamus pathology is an important contributor to cognitive and functional decline, and it might be argued that the thalamus has been somewhat overlooked as an important player in dementia. In this review, we provide a comprehensive overview of thalamus anatomy and function, with an emphasis on human cognition and behavior, and discuss emerging insights on the role of thalamus pathology in dementia.

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    The potential clinical value of plasma biomarkers in Alzheimer's disease

    Kaj Blennow, Douglas R Galasko, Robert Perneczky, Frances‐Catherine Quevenco, Wiesje M. van der Flier and 5 more

    74 citationsOpen access (CC-BY)doi:10.1002/alz.13455OpenAlex

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    INTRODUCTION: Many people with cognitive complaints or impairment never receive an accurate diagnosis of the underlying condition, potentially impacting their access to appropriate treatment. To address this unmet need, plasma biomarker tests are being developed for use in Alzheimer's disease (AD). Plasma biomarker tests span various stages of development, including in vitro diagnostic devices (or tests) (IVDs), laboratory-developed tests (LDTs) and research use only devices (or tests) (RUOs). Understanding the differences between each test type is important for appropriate implementation into the AD diagnostic pathway and care continuum. METHODS: Authors reviewed scientific literature (PubMed, meeting abstracts and presentations, company press releases and websites) on AD plasma biomarkers. RESULTS: This article defines IVDs, LDTs, and RUOs, discusses potential clinical applications and highlights the steps necessary for their clinical implementation. DISCUSSION: Plasma biomarkers could revolutionize many areas of the AD diagnostic pathway and care continuum, but further research…

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    Expanding the use of brief cognitive assessments to detect suspected early‐stage cognitive impairment in primary care

    Soeren Mattke, Donnie Batie, Joshua Chodosh, Kristen M. Felten, Ellen Flaherty and 10 more

    72 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13051OpenAlex

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    INTRODUCTION: Mild cognitive impairment remains substantially underdiagnosed, especially in disadvantaged populations. Failure to diagnose deprives patients and families of the opportunity to treat reversible causes, make necessary life and lifestyle changes and receive disease-modifying treatments if caused by Alzheimer's disease. Primary care, as the entry point for most, plays a critical role in improving detection rates. METHODS: We convened a Work Group of national experts to develop consensus recommendations for policymakers and third-party payers on ways to increase the use of brief cognitive assessments (BCAs) in primary care. RESULTS: The group recommended three strategies to promote routine use of BCAs: providing primary care clinicians with suitable assessment tools; integrating BCAs into routine workflows; and crafting payment policies to encourage adoption of BCAs. DISSCUSSION: Sweeping changes and actions of multiple stakeholders are necessary to improve detection rates of mild cognitive impairment so that patients and families may benefit from timely interventions.

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    Priorities for research on neuromodulatory subcortical systems in Alzheimer's disease: Position paper from the NSS PIA of ISTAART

    Alexander J. Ehrenberg, Michael A. Kelberman, Kathy Y Liu, Martin J. Dahl, David Weinshenker and 25 more

    72 citationsOpen access (CC-BY)doi:10.1002/alz.12937OpenAlex

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    The neuromodulatory subcortical system (NSS) nuclei are critical hubs for survival, hedonic tone, and homeostasis. Tau-associated NSS degeneration occurs early in Alzheimer's disease (AD) pathogenesis, long before the emergence of pathognomonic memory dysfunction and cortical lesions. Accumulating evidence supports the role of NSS dysfunction and degeneration in the behavioral and neuropsychiatric manifestations featured early in AD. Experimental studies even suggest that AD-associated NSS degeneration drives brain neuroinflammatory status and contributes to disease progression, including the exacerbation of cortical lesions. Given the important pathophysiologic and etiologic roles that involve the NSS in early AD stages, there is an urgent need to expand our understanding of the mechanisms underlying NSS vulnerability and more precisely detail the clinical progression of NSS changes in AD. Here, the NSS Professional Interest Area of the International Society to Advance Alzheimer's Research and Treatment highlights knowledge gaps about NSS within AD and provides recommendations for…

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    Artificial intelligence for dementia—Applied models and digital health

    Donald M. Lyall, Andrey Kormilitzin, Claire L. Lancaster, José Sousa, Fanny Emily Petermann-Rocha and 14 more

    70 citationsOpen access (CC-BY)doi:10.1002/alz.13391OpenAlex

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    INTRODUCTION: The use of applied modeling in dementia risk prediction, diagnosis, and prognostics will have substantial public health benefits, particularly as "deep phenotyping" cohorts with multi-omics health data become available. METHODS: This narrative review synthesizes understanding of applied models and digital health technologies, in terms of dementia risk prediction, diagnostic discrimination, prognosis, and progression. Machine learning approaches show evidence of improved predictive power compared to standard clinical risk scores in predicting dementia, and the potential to decompose large numbers of variables into relatively few critical predictors. RESULTS: This review focuses on key areas of emerging promise including: emphasis on easier, more transparent data sharing and cohort access; integration of high-throughput biomarker and electronic health record data into modeling; and progressing beyond the primary prediction of dementia to secondary outcomes, for example, treatment response and physical health. DISCUSSION: Such approaches will benefit also from…

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    Lower cerebral blood flow predicts cognitive decline in patients with vascular cognitive impairment

    Maud van Dinther, Astrid M. Hooghiemstra, Esther E. Bron, Adriaan Versteeg, Anna Elisabeth Leeuwis and 9 more

    67 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13408OpenAlex

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    INTRODUCTION: Chronic cerebral hypoperfusion is one of the assumed pathophysiological mechanisms underlying vascular cognitive impairment (VCI). We investigated the association between baseline cerebral blood flow (CBF) and cognitive decline after 2 years in patients with VCI and reference participants. METHODS: One hundred eighty-one participants (mean age 66.3 ± 7.4 years, 43.6% women) underwent arterial spin labeling (ASL) magnetic resonance imaging (MRI) and neuropsychological assessment at baseline and at 2-year follow-up. We determined the association between baseline global and lobar CBF and cognitive decline with multivariable regression analysis. RESULTS: Lower global CBF at baseline was associated with more global cognitive decline in VCI and reference participants. This association was most profound in the domain of attention/psychomotor speed. Lower temporal and frontal CBF at baseline were associated with more cognitive decline in memory. DISCUSSION: Our study supports the role of hypoperfusion in the pathophysiological and clinical progression of VCI. HIGHLIGHTS:…

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    What would a population‐level approach to dementia risk reduction look like, and how would it work?

    Sebastian Walsh, Ishtar Govia, Ruth K Peters, Edo Richard, Blossom C. M. Stephan and 4 more

    64 citationsOpen access (CC-BY)doi:10.1002/alz.12985OpenAlex

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    Dementia is a leading global public health challenge. Prevention approaches have traditionally focused on individual-level strategies. However, such approaches have limited potential, particularly for resource-constrained populations in which exposure to risk factors is greatest, and exposure to protective factors is lowest. A population-level approach to dementia risk reduction is therefore essential to meet the scale of the challenge and to tackle global inequalities in risk and incidence of disease. Such approaches can be highly cost effective. In this viewpoint article, we describe what such an approach should look like, barriers and facilitators to success, and how we should go about achieving it. We include 10 strategic goals to achieve population-level dementia risk reduction and protection enhancement, targeted at researchers, professionals, funders, science communicators, governments, businesses, and policy makers. If we are to significantly reduce the prevalence of dementia there must be increased emphasis on population-level approaches. HIGHLIGHTS: Dementia risk reduction…

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    Placental growth factor as a sensitive biomarker for vascular cognitive impairment

    Jason D. Hinman, Fanny M. Elahi, Davis S. Chong, Hannah L. Radabaugh, Adam R. Ferguson and 18 more

    63 citationsOpen accessdoi:10.1002/alz.12974OpenAlex

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    INTRODUCTION: High-performing biomarkers measuring the vascular contributions to cognitive impairment and dementia are lacking. METHODS: Using a multi-site observational cohort study design, we examined the diagnostic accuracy of plasma placental growth factor (PlGF) within the MarkVCID Consortium (n = 335; CDR 0-1). Subjects underwent clinical evaluation, cognitive testing, MRI, and blood sampling as defined by Consortium protocols. RESULTS: In the prospective population of 335 subjects (72.2 ± 7.8 years of age, 49.3% female), plasma PlGF (pg/mL) shows an ordinal odds ratio (OR) of 1.16 (1.07-1.25; P = .0003) for increasing Fazekas score and ordinal OR of 1.22 (1.14-1.32; P < .0001) for functional cognitive impairment measured by the Clinical Dementia Rating scale. We achieved the primary study outcome of a site-independent association of plasma PlGF (pg/mL) with white matter injury and cognitive impairment in two of three study cohorts. Secondary outcomes using the full MarkVCID cohort demonstrated that plasma PlGF can significantly discriminate individuals with Fazekas ≥ 2 and…

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    Association of plasma biomarkers with cognition, cognitive decline, and daily function across and within neurodegenerative diseases: Results from the Ontario Neurodegenerative Disease Research Initiative

    Erlan Sanchez, Tim Wilkinson, Gillian Coughlan, Saira Saeed Mirza, Andrée‐Ann Baril and 25 more

    62 citationsOpen access (CC-BY)doi:10.1002/alz.13560OpenAlex

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    Abstract INTRODUCTION We investigated whether novel plasma biomarkers are associated with cognition, cognitive decline, and functional independence in activities of daily living across and within neurodegenerative diseases. METHODS Glial fibrillary acidic protein (GFAP), neurofilament light chain (NfL), phosphorylated tau (p‐tau)181 and amyloid beta (Aβ) 42/40 were measured using ultra‐sensitive Simoa immunoassays in 44 healthy controls and 480 participants diagnosed with Alzheimer's disease/mild cognitive impairment (AD/MCI), Parkinson's disease (PD), frontotemporal dementia (FTD) spectrum disorders, or cerebrovascular disease (CVD). RESULTS GFAP, NfL, and/or p‐tau181 were elevated among all diseases compared to controls, and were broadly associated with worse baseline cognitive performance, greater cognitive decline, and/or lower functional independence. While GFAP, NfL, and p‐tau181 were highly predictive across diseases, p‐tau181 was more specific to the AD/MCI cohort. Sparse associations were found in the FTD and CVD cohorts and for Aβ 42/40 . DISCUSSION GFAP, NfL, and p‐tau181…

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    Retina pathology as a target for biomarkers for Alzheimer's disease: Current status, ophthalmopathological background, challenges, and future directions

    Jessica Alber, Femke H. Bouwman, Jurre den Haan, Robert A. Rissman, Lies De Groef and 3 more

    61 citationsOpen access (CC-BY)doi:10.1002/alz.13529OpenAlex

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    There is emerging evidence that amyloid beta protein (Aβ) and tau-related lesions in the retina are associated with Alzheimer's disease (AD). Aβ and hyperphosphorylated (p)-tau deposits have been described in the retina and were associated with small amyloid spots visualized by in vivo imaging techniques as well as degeneration of the retina. These changes correlate with brain amyloid deposition as determined by histological quantification, positron emission tomography (PET) or clinical diagnosis of AD. However, the literature is not coherent on these histopathological and in vivo imaging findings. One important reason for this is the variability in the methods and the interpretation of findings across different studies. In this perspective, we indicate the critical methodological deviations among different groups and suggest a roadmap moving forward on how to harmonize (i) histopathologic examination of retinal tissue; (ii) in vivo imaging among different methods, devices, and interpretation algorithms; and (iii) inclusion/exclusion criteria for studies aiming at retinal biomarker…

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    Characterizing the emergence of amyloid and tau burden in Down syndrome

    Matthew D. Zammit, Tobey J. Betthauser, Andrew K McVea, Charles M. Laymon, Dana Tudorascu and 12 more

    61 citationsOpen access (CC-BY)doi:10.1002/alz.13444OpenAlex

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    INTRODUCTION: Almost all individuals with Down syndrome (DS) will develop neuropathological features of Alzheimer's disease (AD). Understanding AD biomarker trajectories is necessary for DS-specific clinical interventions and interpretation of drug-related changes in the disease trajectory. METHODS: A total of 177 adults with DS from the Alzheimer's Biomarker Consortium-Down Syndrome (ABC-DS) underwent positron emission tomography (PET) and MR imaging. Amyloid-beta (Aβ) trajectories were modeled to provide individual-level estimates of Aβ-positive (A+) chronicity, which were compared against longitudinal tau change. RESULTS: Elevated tau was observed in all NFT regions following A+ and longitudinal tau increased with respect to A+ chronicity. Tau increases in NFT regions I-III was observed 0-2.5 years following A+. Nearly all A+ individuals had tau increases in the medial temporal lobe. DISCUSSION: These findings highlight the rapid accumulation of amyloid and early onset of tau relative to amyloid in DS and provide a strategy for temporally characterizing AD neuropathology…

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    Social connections and risk of incident mild cognitive impairment, dementia, and mortality in 13 longitudinal cohort studies of ageing

    Gowsaly Mahalingam, Suraj Samtani, Ben C. P. Lam, Darren M. Lipnicki, Maria Fernanda Lima‐Costa and 25 more

    56 citationsOpen access (CC-BY)doi:10.1002/alz.13072OpenAlex

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    INTRODUCTION: Previous meta-analyses have linked social connections and mild cognitive impairment, dementia, and mortality. However, these used aggregate data from North America and Europe and examined a limited number of social connection markers. METHODS: = 3.22 years) from 13 longitudinal ageing studies. A two-stage meta-analysis of Cox regression models examined the association between social connection markers with our primary outcomes. RESULTS: We found associations between good social connections structure and quality and lower risk of incident mild cognitive impairment (MCI); between social structure and function and lower risk of incident dementia and mortality. Only in Asian cohorts, being married/in a relationship was associated with reduced risk of dementia, and having a confidante was associated with reduced risk of dementia and mortality. DISCUSSION: Different aspects of social connections - structure, function, and quality - are associated with benefits for healthy aging internationally. HIGHLIGHTS: Social connection structure (being married/in a relationship, weekly…

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    A detection model of cognitive impairment via the integrated gait and eye movement analysis from a large Chinese community cohort

    Jingyi Lin, Tianyan Xu, Xuan Yang, Qijie Yang, Yuan Zhu and 14 more

    55 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13517OpenAlex

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    INTRODUCTION: Whether the integration of eye-tracking, gait, and corresponding dual-task analysis can distinguish cognitive impairment (CI) patients from controls remains unclear. METHODS: One thousand four hundred eighty-one participants, including 724 CI and 757 controls, were enrolled in this study. Eye movement and gait, combined with dual-task patterns, were measured. The LightGBM machine learning models were constructed. RESULTS: A total of 105 gait and eye-tracking features were extracted. Forty-six parameters, including 32 gait and 14 eye-tracking features, showed significant differences between two groups (P < 0.05). Of these, the Gait_3Back-TurnTime and Dual-task cost-TurnTime patterns were significantly correlated with plasma phosphorylated tau 181 (p-tau181) level. A model based on dual-task gait, dual-task smooth pursuit, prosaccade, and anti-saccade achieved the best area under the receiver operating characteristics curve (AUC) of 0.987 for CI detection, while combined with p-tau181, the model discriminated mild cognitive impairment from controls with an AUC of 0.824.…

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    Sex and gender differences in risk scores for dementia and Alzheimer's disease among cisgender, transgender, and non‐binary adults

    Brooke Brady, Lidan Zheng, Scherazad Kootar, Kaarin Jane Anstey

    54 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13317OpenAlex

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    INTRODUCTION: Few studies have explored dementia risk according to sex and gender including for transgender and non-binary adults. This study evaluated dementia risk factors and risk scores among cisgender, transgender, and non-binary adults. METHODS: Observational data were drawn from the 2019 Behavioral Risk Factor Surveillance System. A matched-cohort approach was used to develop sex (male, female) and gender identity cohorts (cisgender men, cisgender women, transgender men, transgender women, and non-binary adults) for comparison. Dementia risk scores were calculated using established mid-life and late-life risk score algorithms. RESULTS: Males had higher overall mid-life dementia risk, and lower late-life Alzheimer's disease risk compared to females. Transgender men, transgender women, and non-binary adults had higher overall late-life risk compared to both cisgender men and women. DISCUSSION: Future research is needed to build the evidence base for specific risk factors that may be contributing to higher overall risk among understudied and underserved gender groups.…

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    Associations of dietary cholesterol and fat, blood lipids, and risk for dementia in older women vary by APOE genotype

    Michelle M. Dunk, Jie Li, Simin Liu, Ramon Casanova, Jiu‐Chiuan Chen and 9 more

    54 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13358OpenAlex

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    INTRODUCTION: Whether apolipoprotein E's (APOE's) involvement in lipid metabolism contributes to Alzheimer's disease (AD) risk remains unknown. METHODS: Incident probable dementia and cognitive impairment (probable dementia+mild cognitive impairment) were analyzed in relation to baseline serum lipids (total, low-density lipoprotein [LDL], high-density lipoprotein [HDL], non-HDL cholesterol, total-to-HDL, LDL-to-HDL, remnant cholesterol, and triglycerides) using Mendelian randomization in 5358 postmenopausal women from the Women's Health Initiative Memory Study. We also examined associations of baseline dietary cholesterol and fat with lipids based on APOE status. RESULTS: After an average of 11.13 years, less favorable lipid levels related to greater dementia and cognitive impairment risk. Dementia (odds ratio [OR] = 3.13; 95% confidence interval [CI]: 2.31 to 4.24) and cognitive impairment (OR = 2.38; 95% CI: 1.85 to 3.06) risk were greatest in relation to higher remnant cholesterol levels. Greater cholesterol consumption related to poorer lipids in APOE4+ compared to APOE3…

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    Latin American Initiative for Lifestyle Intervention to Prevent Cognitive Decline (LatAm‐FINGERS): Study design and harmonization

    Lucía Crivelli, Ismael Luis Calandri, Cláudia Kimie Suemoto, Rosa Maria Salinas‐Contreras, Lina Marcela Velilla and 25 more

    54 citationsOpen accessdoi:10.1002/alz.13101OpenAlex

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    INTRODUCTION: Latin American Initiative for Lifestyle Intervention to Prevent Cognitive Decline (LatAm-FINGERS) is the first non-pharmacological multicenter randomized clinical trial (RCT) to prevent cognitive impairment in Latin America (LA). Our aim is to present the study design and discuss the strategies used for multicultural harmonization. METHODS: This 1-year RCT (working on a 1-year extension) investigates the feasibility of a multi-domain lifestyle intervention in LA and the efficacy of the intervention, primarily on cognitive function. An external harmonization process was carried out to follow the FINGER model, and an internal harmonization was performed to ensure this study was feasible and comparable across the 12 participating LA countries. RESULTS: Currently, 1549 participants have been screened, and 815 randomized. Participants are ethnically diverse (56% are Nestizo) and have high cardiovascular risk (39% have metabolic syndrome). DISCUSSION: LatAm-FINGERS overcame a significant challenge to combine the region's diversity into a multi-domain risk reduction…

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    Retinal arterial Aβ40 deposition is linked with tight junction loss and cerebral amyloid angiopathy in MCI and AD patients

    Haoshen Shi, Yosef Koronyo, Dieu-Trang S. Fuchs, Julia Sheyn, Ousman Jallow and 11 more

    54 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13086OpenAlex

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    Abstract INTRODUCTION Vascular amyloid beta (Aβ) protein deposits were detected in retinas of mild cognitively impaired (MCI) and Alzheimer's disease (AD) patients. We tested the hypothesis that the retinal vascular tight junctions (TJs) were compromised and linked to disease status. METHODS TJ components and Aβ expression in capillaries and larger blood vessels were determined in post mortem retinas from 34 MCI or AD patients and 27 cognitively normal controls and correlated with neuropathology. RESULTS Severe decreases in retinal vascular zonula occludens‐1 (ZO‐1) and claudin‐5 correlating with abundant arteriolar Aβ40 deposition were identified in MCI and AD patients. Retinal claudin‐5 deficiency was closely associated with cerebral amyloid angiopathy, whereas ZO‐1 defects correlated with cerebral pathology and cognitive deficits. DISCUSSION We uncovered deficiencies in blood–retinal barrier markers for potential retinal imaging targets of AD screening and monitoring. Intense retinal arteriolar Aβ40 deposition suggests a common pathogenic mechanism of failed Aβ clearance via…

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    Symptom‐led staging for semantic and non‐fluent/agrammatic variants of primary progressive aphasia

    Chris J. D. Hardy, Cathleen Taylor‐Rubin, Beatrice Taylor, Emma Harding, Aida Suarez Gonzalez and 20 more

    53 citationsOpen access (CC-BY)doi:10.1002/alz.13415OpenAlex

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    INTRODUCTION: Here we set out to create a symptom-led staging system for the canonical semantic and non-fluent/agrammatic variants of primary progressive aphasia (PPA), which present unique diagnostic and management challenges not well captured by functional scales developed for Alzheimer's disease and other dementias. METHODS: An international PPA caregiver cohort was surveyed on symptom development under six provisional clinical stages and feedback was analyzed using a mixed-methods sequential explanatory design. RESULTS: Both PPA syndromes were characterized by initial communication dysfunction and non-verbal behavioral changes, with increasing syndromic convergence and functional dependency at later stages. Milestone symptoms were distilled to create a prototypical progression and severity scale of functional impairment: the PPA Progression Planning Aid ("PPA-Squared"). DISCUSSION: This work introduces a symptom-led staging scheme and functional scale for semantic and non-fluent/agrammatic variants of PPA. Our findings have implications for diagnostic and care pathway…

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    Serum NfL and GFAP are associated with incident dementia and dementia mortality in older adults: The cardiovascular health study

    Héléne T. Cronjé, Xiaojuan Liu, Michelle C. Odden, Kristine F. Moseholm, Sudha S. Seshadri and 10 more

    53 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13367OpenAlex

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    INTRODUCTION: Circulating neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) have been independently associated with dementia risk. Their additive association, and their associations with dementia-specific mortality, have not been investigated. METHODS: We associated serum NfL, GFAP, total tau ,and ubiquitin carboxyl-terminal hydrolase-L1, measured in 1712 dementia-free adults, with 19-year incident dementia and dementia-specific mortality risk, and with 3-year cognitive decline. RESULTS: In adjusted models, being in the highest versus lowest tertile of NfL or GFAP associated with a hazard ratio (HR) of 1.49 (1.20-1.84) and 1.38 (1.15-1.66) for incident dementia, and 2.87 (1.79-4.61) and 2.76 (1.73-4.40) for dementia-specific mortality. Joint third versus first tertile exposure further increased risk; HR = 2.06 (1.60-2.67) and 9.22 (4.48-18.9). NfL was independently associated with accelerated cognitive decline. DISCUSSION: Circulating NfL and GFAP may, independently and jointly, provide useful clinical insight regarding dementia risk and prognosis.

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    Alzheimer's disease and inflammatory biomarkers positively correlate in plasma in the UK‐ADRC cohort

    Kate E. Foley, Zachary Winder, Tiffany L. Sudduth, Barbara J. Martin, Peter T. Nelson and 4 more

    52 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13485OpenAlex

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    INTRODUCTION: Protein-based plasma assays provide hope for improving accessibility and specificity of molecular diagnostics to diagnose dementia. METHODS: Plasma was obtained from participants (N = 837) in our community-based University of Kentucky Alzheimer's Disease Research Center cohort. We evaluated six Alzheimer's disease (AD)- and neurodegeneration-related (Aβ40, Aβ42, Aβ42/40, p-tau181, total tau, and NfLight) and five inflammatory biomarkers (TNF𝛼, IL6, IL8, IL10, and GFAP) using the SIMOA-based protein assay platform. Statistics were performed to assess correlations. RESULTS: Our large cohort reflects previous plasma biomarker findings. Relationships between biomarkers to understand AD-inflammatory biomarker correlations showed significant associations between AD and inflammatory biomarkers suggesting peripheral inflammatory interactions with increasing AD pathology. Biomarker associations parsed out by clinical diagnosis (normal, MCI, and dementia) reveal changes in strength of the correlations across the cognitive continuum. DISCUSSION: Unique AD-inflammatory biomarker…

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    Research diagnostic criteria for mild cognitive impairment with Lewy bodies: A systematic review and meta‐analysis

    Paul C. Donaghy, Claudia Carrarini, Daniel Ferreira, Annegret Habich, Dag Aarsland and 7 more

    52 citationsOpen access (CC-BY)doi:10.1002/alz.13105OpenAlex

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    INTRODUCTION: Operationalized research criteria for mild cognitive impairment with Lewy bodies (MCI-LB) were published in 2020. The aim of this systematic review and meta-analysis was to review the evidence for the diagnostic clinical features and biomarkers in MCI-LB set out in the criteria. METHODS: MEDLINE, PubMed, and Embase were searched on 9/28/22 for relevant articles. Articles were included if they presented original data reporting the rates of diagnostic features in MCI-LB. RESULTS: Fifty-seven articles were included. The meta-analysis supported the inclusion of the current clinical features in the diagnostic criteria. Evidence for striatal dopaminergic imaging and meta-iodobenzylguanidine cardiac scintigraphy, though limited, supports their inclusion. Quantitative electroencephalogram (EEG) and fluorodeoxyglucose positron emission tomography (PET) show promise as diagnostic biomarkers. DISCUSSION: The available evidence largely supports the current diagnostic criteria for MCI-LB. Further evidence will help refine the diagnostic criteria and understand how best to apply…

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    Identification of circRNAs linked to Alzheimer's disease and related dementias

    Sambhavi Puri, Junming Hu, Zhuorui Sun, Mintao Lin, Thor D. Stein and 3 more

    52 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12960OpenAlex

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    INTRODUCTION: Circular RNAs (circRNAs) exhibit selective expression in the brain and differential regulation in Alzheimer's disease (AD). To explore the role of circRNAs in AD, we investigated how circRNA expression varies between brain regions and with AD-related stress in human neuronal precursor cells (NPCs). METHODS: Ribosomal RNA-depleted hippocampus RNA-sequencing data were generated. Differentially regulated circRNAs in AD and related dementias were detected using CIRCexplorer3 and limma. circRNA results were validated using quantitative real-time PCR of cDNA from the brain and NPCs. RESULTS: We identified 48 circRNAs that were significantly associated with AD. We observed that circRNA expression differed by dementia subtype. Using NPCs, we demonstrated that exposure to oligomeric tau elicits downregulation of circRNA similar to that observed in the AD brain. DISCUSSION: Our study shows that differential expression of circRNA can vary by dementia subtype and brain region. We also demonstrated that circRNAs can be regulated by AD-linked neuronal stress independently from their…

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    Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease

    Gilad Sahar Green, Masashi Fujita, Hyun-Sik Yang, Mariko F. Taga, Cristin Aubin and 10 more

    51 citationsOpen accessdoi:10.1002/alz.083212OpenAlex

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    Alzheimer's Disease (AD) is a progressive neurodegenerative disease seen with advancing age. Recent studies have revealed diverse AD-associated cell states, yet when and how they impact the causal chain leading to AD remains unknown. To reconstruct the dynamics of the brain's cellular environment along the disease cascade and to distinguish between AD and aging effects, we built a comprehensive cell atlas of the aged prefrontal cortex from 1.64 million single-nucleus RNA-seq profiles. We associated glial, vascular and neuronal subpopulations with AD-related traits for 424 aging individuals, and aligned them along the disease cascade using causal modeling. We identified two distinct lipid-associated microglial subpopulations, one contributed to amyloid-β proteinopathy while the other mediated the effect of amyloid-β in accelerating tau proteinopathy, as well as an astrocyte subpopulation that mediated the effect of tau on cognitive decline. To model the coordinated dynamics of the entire cellular environment we devised the BEYOND methodology which uncovered two distinct trajectories…

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    Plasma p‐tau231 and p‐tau217 inform on tau tangles aggregation in cognitively impaired individuals

    Pâmela C.L. Ferreira, Joseph Therriault, Cécile Tissot, João Pedro Ferrari‐Souza, Andréa Lessa Benedet and 25 more

    51 citationsOpen accessdoi:10.1002/alz.13393OpenAlex

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    Abstract INTRODUCTION Phosphorylated tau (p‐tau) biomarkers have been recently proposed to represent brain amyloid‐β (Aβ) pathology. Here, we evaluated the plasma biomarkers' contribution beyond the information provided by demographics (age and sex) to identify Aβ and tau pathologies in individuals segregated as cognitively unimpaired (CU) and impaired (CI). METHODS We assessed 138 CU and 87 CI with available plasma p‐tau231, 217 + , and 181, Aβ42/40, GFAP and Aβ‐ and tau‐PET. RESULTS In CU, only plasma p‐tau231 and p‐tau217 + significantly improved the performance of the demographics in detecting Aβ‐PET positivity, while no plasma biomarker provided additional information to identify tau‐PET positivity. In CI, p‐tau217 + and GFAP significantly contributed to demographics to identify both Aβ‐PET and tau‐PET positivity, while p‐tau231 only provided additional information to identify tau‐PET positivity. DISCUSSION Our results support plasma p‐tau231 and p‐tau217 + as state markers of early Aβ deposition, but in later disease stages they inform on tau tangle accumulation. Highlights It…

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    Blood tau‐PT217 contributes to the anesthesia/surgery‐induced delirium‐like behavior in aged mice

    Jing Lu, Feng Liang, Ping Bai, Chenghao Liu, Miao Xu and 13 more

    51 citationsOpen accessdoi:10.1002/alz.13118OpenAlex

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    INTRODUCTION: Blood phosphorylated tau at threonine 217 (tau-PT217) is a newly established biomarker for Alzheimer's disease and postoperative delirium in patients. However, the mechanisms and consequences of acute changes in blood tau-PT217 remain largely unknown. METHODS: We investigated the effects of anesthesia/surgery on blood tau-PT217 in aged mice, and evaluated the associated changes in B cell populations, neuronal excitability in anterior cingulate cortex, and delirium-like behavior using positron emission tomography imaging, nanoneedle technology, flow cytometry, electrophysiology, and behavioral tests. RESULTS: Anesthesia/surgery induced acute increases in blood tau-PT217 via enhanced generation in the lungs and release from B cells. Tau-PT217 might cross the blood-brain barrier, increasing neuronal excitability and inducing delirium-like behavior. B cell transfer and WS635, a mitochondrial function enhancer, mitigated the anesthesia/surgery-induced changes. DISCUSSION: Acute increases in blood tau-PT217 may contribute to brain dysfunction and postoperative delirium.…

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    Free water imaging of the cholinergic system in dementia with Lewy bodies and Alzheimer's disease

    Julia Schumacher, Nicola J. Ray, Calum Alexander Hamilton, Maurizio Bergamino, Paul C. Donaghy and 8 more

    51 citationsOpen access (CC-BY)doi:10.1002/alz.13034OpenAlex

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    INTRODUCTION: Degeneration of cortical cholinergic projections from the nucleus basalis of Meynert (NBM) is characteristic of dementia with Lewy bodies (DLB) and Alzheimer's disease (AD), whereas involvement of cholinergic projections from the pedunculopontine nucleus (PPN) to the thalamus is less clear. METHODS: We studied both cholinergic projection systems using a free water-corrected diffusion tensor imaging (DTI) model in the following cases: 46 AD, 48 DLB, 35 mild cognitive impairment (MCI) with AD, 38 MCI with Lewy bodies, and 71 controls. RESULTS: Free water in the NBM-cortical pathway was increased in both dementia and MCI groups compared to controls and associated with cognition. Free water along the PPN-thalamus tract was increased only in DLB and related to visual hallucinations. Results were largely replicated in an independent cohort. DISCUSSION: While NBM-cortical projections degenerate early in AD and DLB, the thalamic cholinergic input from the PPN appears to be more selectively affected in DLB and might associate with visual hallucinations. HIGHLIGHTS: Free water…

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    Cytosolic calcium: Judge, jury and executioner of neurodegeneration in Alzheimer's disease and beyond

    Elise K. Webber, Marc L. Fivaz, Grace E. Stutzmann, Gerard Griffioen

    50 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13065OpenAlex

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    Abstract This review discusses the driving principles that may underlie neurodegeneration in dementia, represented most dominantly by Alzheimer's disease (AD). While a myriad of different disease risk factors contribute to AD, these ultimately converge to a common disease outcome. Based on decades of research, a picture emerges where upstream risk factors combine in a feedforward pathophysiological cycle, culminating in a rise of cytosolic calcium concentration ([Ca2+]c) that triggers neurodegeneration. In this framework, positive AD risk factors entail conditions, characteristics, or lifestyles that initiate or accelerate self‐reinforcing cycles of pathophysiology, whereas negative risk factors or therapeutic interventions, particularly those mitigating elevated [Ca2+]c, oppose these effects and therefore have neuroprotective potential.

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    FDA‐approved carbonic anhydrase inhibitors reduce amyloid β pathology and improve cognition, by ameliorating cerebrovascular health and glial fitness

    Elisa Canepa, Rebecca Maria Parodi‐Rullán, Rafael Vázquez‐Torres, Begona Gamallo‐Lana, Roberto A Guzman‐Hernandez and 9 more

    50 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13063OpenAlex

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    Abstract Alzheimer’s disease (AD) is a devastating neurodegenerative disorder with no effective cure. Cerebrovascular and neurovascular pathology are early and causal hallmarks of AD, where cerebral amyloid angiopathy (CAA), the deposition of amyloid β (Aβ) at the cerebral vasculature, is present in about 90% of cases. Our previous work has uncovered the protective effect of carbonic anhydrase (CA) inhibition against Aβ-mediated mitochondrial dysfunction, production of reactive oxygen species (ROS) and apoptosis in vascular, glial and neuronal cells in culture. Here, we tested for the first time in a transgenic model of AD and cerebrovascular amyloidosis, the TgSwDI mice, a therapeutic regimen employing the FDA-approved CA inhibitors (CAIs), methazolamide (MTZ) and acetazolamide (ATZ). These drugs are used in humans for glaucoma, high altitude sickness, and other disorders, and can cross the blood-brain barrier. We found that both CAIs were non- toxic, significantly reduced cerebral amyloidosis, vascular, microglial and astrocytic Aβ accumulation, and ameliorated cognition. MTZ and…

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    Levels of Alzheimer's disease blood biomarkers are altered after food intake—A pilot intervention study in healthy adults

    Hanna Huber, Nicholas James Ashton, Alina Schieren, Laia Montoliu‐Gaya, Guglielmo Di Molfetta and 11 more

    49 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13163OpenAlex

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    INTRODUCTION: Blood biomarkers accurately identify Alzheimer's disease (AD) pathophysiology and axonal injury. We investigated the influence of food intake on AD-related biomarkers in cognitively healthy, obese adults at high metabolic risk. METHODS: One-hundred eleven participants underwent repeated blood sampling during 3 h after a standardized meal (postprandial group, PG). For comparison, blood was sampled from a fasting subgroup over 3 h (fasting group, FG). Plasma neurofilament light (NfL), glial fibrillary acidic protein (GFAP), amyloid-beta (Aβ) 42/40, phosphorylated tau (p-tau) 181 and 231, and total-tau were measured via single molecule array assays. RESULTS: Significant differences were found for NfL, GFAP, Aβ42/40, p-tau181, and p-tau231 between FG and PG. The greatest change to baseline occurred for GFAP and p-tau181 (120 min postprandially, p < 0.0001). CONCLUSION: Our data suggest that AD-related biomarkers are altered by food intake. Further studies are needed to verify whether blood biomarker sampling should be performed in the fasting state. HIGHLIGHTS: Acute food…

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    Plasma biomarkers identify older adults at risk of Alzheimer's disease and related dementias in a real‐world population‐based cohort

    Pâmela C.L. Ferreira, Yingjin Zhang, Beth Ellen Snitz, Chung‐Chou H. Chang, Bruna Bellaver and 8 more

    49 citationsOpen access (CC-BY-NC)doi:10.1002/alz.12986OpenAlex

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    INTRODUCTION: Plasma biomarkers-cost effective, non-invasive indicators of Alzheimer's disease (AD) and related disorders (ADRD)-have largely been studied in clinical research settings. Here, we examined plasma biomarker profiles and their associated factors in a population-based cohort to determine whether they could identify an at-risk group, independently of brain and cerebrospinal fluid biomarkers. METHODS: We measured plasma phosphorylated tau181 (p-tau181), neurofilament light chain (NfL), glial fibrillary acidic protein (GFAP), and amyloid beta (Aβ)42/40 ratio in 847 participants from a population-based cohort in southwestern Pennsylvania. RESULTS: K-medoids clustering identified two distinct plasma Aβ42/40 modes, further categorizable into three biomarker profile groups: normal, uncertain, and abnormal. In different groups, plasma p-tau181, NfL, and GFAP were inversely correlated with Aβ42/40, Clinical Dementia Rating, and memory composite score, with the strongest associations in the abnormal group. DISCUSSION: Abnormal plasma Aβ42/40 ratio identified older adult groups…

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    Artificial intelligence for dementia drug discovery and trials optimization

    T. Doherty, Zhi Yao, Ahmad Al Khleifat, Hanz M. Tantiangco, Stefano Tamburin and 8 more

    48 citationsOpen access (CC-BY)doi:10.1002/alz.13428OpenAlex

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    Drug discovery and clinical trial design for dementia have historically been challenging. In part these challenges have arisen from patient heterogeneity, length of disease course, and the tractability of a target for the brain. Applying big data analytics and machine learning tools for drug discovery and utilizing them to inform successful clinical trial design has the potential to accelerate progress. Opportunities arise at multiple stages in the therapy pipeline and the growing availability of large medical data sets opens possibilities for big data analyses to answer key questions in clinical and therapeutic challenges. However, before this goal is reached, several challenges need to be overcome and only a multi-disciplinary approach can promote data-driven decision-making to its full potential. Herein we review the current state of machine learning applications to clinical trial design and drug discovery, while presenting opportunities and recommendations that can break down the barriers to implementation.

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    Impact of sharing Alzheimer's disease biomarkers with individuals without dementia: A systematic review and meta‐analysis of empirical data

    Jetske van der Schaar, Leonie N.C. Visser, Johannes C. F. Ket, Colin Groot, Yolande A.L. Pijnenburg and 4 more

    48 citationsOpen access (CC-BY)doi:10.1002/alz.13410OpenAlex

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    INTRODUCTION: We conducted a systematic literature review and meta-analysis of empirical evidence on expected and experienced implications of sharing Alzheimer's disease (AD) biomarker results with individuals without dementia. METHODS: PubMed, Embase, APA PsycInfo, and Web of Science Core Collection were searched according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Results from included studies were synthesized, and quantitative data on psychosocial impact were meta-analyzed using a random-effects model. RESULTS: We included 35 publications. Most personal stakeholders expressed interest in biomarker assessment. Learning negative biomarker results led to relief and sometimes frustration, while positive biomarkers induced anxiety but also clarity. Meta-analysis of five studies including 2012 participants (elevated amyloid = 1324 [66%], asymptomatic = 1855 [92%]) showed short-term psychological impact was not significant (random-effect estimate = 0.10, standard error = 0.23, P = 0.65). Most professional stakeholders valued biomarker testing,…

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    Longitudinal amyloid and tau PET imaging in Alzheimer's disease: A systematic review of methodologies and factors affecting quantification

    Ariane Bollack, Hugh Pemberton, Lyduine Eisa Collij, Pawel J. Markiewicz, David M. Cash and 2 more

    48 citationsOpen access (CC-BY)doi:10.1002/alz.13158OpenAlex

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    Deposition of amyloid and tau pathology can be quantified in vivo using positron emission tomography (PET). Accurate longitudinal measurements of accumulation from these images are critical for characterizing the start and spread of the disease. However, these measurements are challenging; precision and accuracy can be affected substantially by various sources of errors and variability. This review, supported by a systematic search of the literature, summarizes the current design and methodologies of longitudinal PET studies. Intrinsic, biological causes of variability of the Alzheimer's disease (AD) protein load over time are then detailed. Technical factors contributing to longitudinal PET measurement uncertainty are highlighted, followed by suggestions for mitigating these factors, including possible techniques that leverage shared information between serial scans. Controlling for intrinsic variability and reducing measurement uncertainty in longitudinal PET pipelines will provide more accurate and precise markers of disease evolution, improve clinical trial design, and aid…

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    Prevalence and risk factors for subjective cognitive decline and the correlation with objective cognition among community‐dwelling older adults in China: Results from the Hubei memory and aging cohort study

    Guirong Cheng, Dan Liu, Lin-Ya Huang, Gang‐Bin Han, Feifei Hu and 18 more

    48 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13047OpenAlex

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    INTRODUCTION: The prevalence and risk factors for subjective cognitive decline (SCD) and its correlation with objective cognition decline (OCD) among community-dwelling older adults is inconsistent. METHODS: Older adults underwent neuropsychological and clinical evaluations to reach a consensus on diagnoses. RESULTS: This study included 7486 adults without mild cognitive impairment and dementia (mean age: 71.35 years [standard deviation = 5.40]). The sex-, age-, and residence-adjusted SCD prevalence was 58.33% overall (95% confidence interval: 58.29% to 58.37%), with higher rates of 61.25% and 59.87% in rural and female subgroups, respectively. SCD global and OCD language, SCD memory and OCD global, SCD and OCD memory, and SCD and OCD language were negatively correlated in fully adjusted models. Seven health and lifestyle factors were associated with an increased risk for SCD. DISCUSSION: SCD affected 58.33% of older adults and may indicate concurrent OCD, which should prompt the initiation of preventative intervention for dementia. HIGHLIGHTS: SCD affects 58.33% of older adults in…

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    The Sporadic Early‐onset Alzheimer's Disease Signature Of Atrophy: Preliminary Findings From The Longitudinal Early‐onset Alzheimer's Disease Study (LEADS) Cohort

    Alexandra Touroutoglou, Yuta Katsumi, Michael J. Brickhouse, Alexander Zaitsev, Ryan Eckbo and 25 more

    47 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13466OpenAlex

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    INTRODUCTION: Magnetic resonance imaging (MRI) research has advanced our understanding of neurodegeneration in sporadic early-onset Alzheimer's disease (EOAD) but studies include small samples, mostly amnestic EOAD, and have not focused on developing an MRI biomarker. METHODS: We analyzed MRI scans to define the sporadic EOAD-signature atrophy in a small sample (n = 25) of Massachusetts General Hospital (MGH) EOAD patients, investigated its reproducibility in the large longitudinal early-onset Alzheimer's disease study (LEADS) sample (n = 211), and investigated the relationship of the magnitude of atrophy with cognitive impairment. RESULTS: The EOAD-signature atrophy was replicated across the two cohorts, with prominent atrophy in the caudal lateral temporal cortex, inferior parietal lobule, and posterior cingulate and precuneus cortices, and with relative sparing of the medial temporal lobe. The magnitude of EOAD-signature atrophy was associated with the severity of cognitive impairment. DISCUSSION: The EOAD-signature atrophy is a reliable and clinically valid biomarker of…

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    Spatial proteomics of hippocampal subfield‐specific pathology in Alzheimer's disease and primary age‐related tauopathy

    Jamie M. Walker, Miranda E. Orr, Timothy C. Orr, Emma L Thorn, Thomas D. Christie and 15 more

    47 citationsOpen access (CC-BY)doi:10.1002/alz.13484OpenAlex

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    INTRODUCTION: Alzheimer's disease (AD) and primary age-related tauopathy (PART) both harbor 3R/4R hyperphosphorylated-tau (p-tau)-positive neurofibrillary tangles (NFTs) but differ in the spatial p-tau development in the hippocampus. METHODS: Using Nanostring GeoMx Digital Spatial Profiling, we compared protein expression within hippocampal subregions in NFT-bearing and non-NFT-bearing neurons in AD (n = 7) and PART (n = 7) subjects. RESULTS: Proteomic measures of synaptic health were inversely correlated with the subregional p-tau burden in AD and PART, and there were numerous differences in proteins involved in proteostasis, amyloid beta (Aβ) processing, inflammation, microglia, oxidative stress, and neuronal/synaptic health between AD and PART and between definite PART and possible PART. DISCUSSION: These results suggest subfield-specific proteome differences that may explain some of the differences in Aβ and p-tau distribution and apparent pathogenicity. In addition, hippocampal neurons in possible PART may have more in common with AD than with definite PART, highlighting the…

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    Prodromal dementia with Lewy bodies in REM sleep behavior disorder: A multicenter study

    Stephen Joza, Michele T. Hu, Ki‐Young Jung, Dieter Kunz, Dario Arnaldi and 22 more

    47 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13386OpenAlex

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    INTRODUCTION: Isolated/idiopathic rapid eye movement sleep behavior disorder (iRBD) is a powerful early predictor of dementia with Lewy bodies (DLB) and Parkinson's disease (PD). This provides an opportunity to directly observe the evolution of prodromal DLB and to identify which cognitive variables are the strongest predictors of evolving dementia. METHODS: IRBD participants (n = 754) from 10 centers of the International RBD Study Group underwent annual neuropsychological assessment. Competing risk regression analysis determined optimal predictors of dementia. Linear mixed-effect models determined the annual progression of neuropsychological testing. RESULTS: Reduced attention and executive function, particularly performance on the Trail Making Test Part B, were the strongest identifiers of early DLB. In phenoconverters, the onset of cognitive decline began up to 10 years prior to phenoconversion. Changes in verbal memory best differentiated between DLB and PD subtypes. DISCUSSION: In iRBD, attention and executive dysfunction strongly predict dementia and begin declining several…

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    Higher concentrations of kynurenic acid in CSF are associated with the slower clinical progression of Alzheimer's disease

    Anne‐Brita Knapskog, Mari Aksnes, Trine Holt Edwin, Per Magne Ueland, Arve Ulvik and 6 more

    47 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13162OpenAlex

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    INTRODUCTION: The kynurenine pathway's (KP) malfunction is closely related to Alzheimer's disease (AD), for antagonistic kynurenic acid (KA) and agonistic quinolinic acid act on the N-methyl-D-aspartate receptor, a possible therapeutic target in treating AD. METHODS: In our longitudinal case-control study, KP metabolites in the cerebrospinal fluid were analyzed in 311 patients with AD and 105 cognitively unimpaired controls. RESULTS: Patients with AD exhibited higher concentrations of KA (β = 0.18, P < 0.01) and picolinic acid (β = 0.20, P < 0.01) than the controls. KA was positively associated with tau pathology (β = 0.29, P < 0.01), and a higher concentration of KA was associated with the slower progression of dementia. DISCUSSION: The higher concentrations of neuroprotective metabolites KA and picolinic acid suggest that the activation of the KP's neuroprotective branch is an adaptive response in AD and may be a promising target for intervention and treatment. Highlights Patients with Alzheimer's disease (AD) exhibited higher concentrations of kynurenic acid and picolinic acid…

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    C1q is increased in cerebrospinal fluid‐derived extracellular vesicles in Alzheimer's disease: A multi‐cohort proteomics and immuno‐assay validation study

    Madhurima Chatterjee, Selcuk Özdemir, Marcel Kunadt, Marleen J. A. Simmelink, Walter A. Boiten and 12 more

    47 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13066OpenAlex

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    INTRODUCTION: Extracellular vesicles (EVs) may propagate and modulate Alzheimer's disease (AD) pathology. We aimed to comprehensively characterize the proteome of cerebrospinal fluid (CSF) EVs to identify proteins and pathways altered in AD. METHODS: CSF EVs were isolated by ultracentrifugation (Cohort 1) or Vn96 peptide (Cohort 2) from non-neurodegenerative controls (n = 15, 16) and AD patients (n = 22, 20, respectively). EVs were subjected to untargeted quantitative mass spectrometry-based proteomics. Results were validated by enzyme-linked immunosorbent assay (ELISA) in Cohorts 3 and 4, consisting of controls (n = 16, n = 43, (Cohort3, Cohort4)), and patients with AD (n = 24, n = 100). RESULTS: We found > 30 differentially expressed proteins in AD CSF EVs involved in immune-regulation. Increase of C1q levels in AD compared to non-demented controls was validated by ELISA (∼ 1.5 fold, p (Cohort 3) = 0.03, p (Cohort 4) = 0.005). DISCUSSION: EVs may be utilized as a potential biomarker and may play a so far unprecedented role in immune-regulation in AD.

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    Does Alzheimer's disease with mesial temporal lobe epilepsy represent a distinct disease subtype?

    Ifrah Zawar, Jaideep Kapur

    47 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12943OpenAlex

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    Alzheimer's disease (AD) patients have a high risk of developing mesial temporal lobe epilepsy (MTLE) and subclinical epileptiform activity. MTLE in AD worsens outcomes. Therefore, we need to understand the overlap between these disease processes. We hypothesize that AD with MTLE represents a distinct subtype of AD, with the interplay between tau and epileptiform activity at its core. We discuss shared pathological features including histopathology, an initial mesial temporal lobe (MTL) hyperexcitability followed by MTL dysfunction and involvement of same networks in memory (AD) and seizures (MTLE). We provide evidence that tau accumulation linearly increases neuronal hyperexcitability, neuronal hyper-excitability increases tau secretion, tau can provoke seizures, and tau reduction protects against seizures. We speculate that AD genetic mutations increase tau, which causes proportionate neuronal loss and/or hyperexcitability, leading to seizures. We discuss that tau burden in MTLE predicts cognitive deficits among (1) AD and (2) MTLE without AD. Finally, we explore the possibility…

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    Distinct transcriptomic responses to Aβ plaques, neurofibrillary tangles, and APOE in Alzheimer's disease

    Sudeshna Das, Zhaozhi Li, Astrid Wachter, Srinija Alla, Ayush Noori and 8 more

    46 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13387OpenAlex

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    INTRODUCTION: Omics studies have revealed that various brain cell types undergo profound molecular changes in Alzheimer's disease (AD) but the spatial relationships with plaques and tangles and APOE-linked differences remain unclear. METHODS: We performed laser capture microdissection of amyloid beta (Aβ) plaques, the 50 μm halo around them, tangles with the 50 μm halo around them, and areas distant (> 50 μm) from plaques and tangles in the temporal cortex of AD and control donors, followed by RNA-sequencing. RESULTS: Aβ plaques exhibited upregulated microglial (neuroinflammation/phagocytosis) and downregulated neuronal (neurotransmission/energy metabolism) genes, whereas tangles had mostly downregulated neuronal genes. Aβ plaques had more differentially expressed genes than tangles. We identified a gradient Aβ plaque > peri-plaque > tangle > distant for these changes. AD APOE ε4 homozygotes had greater changes than APOE ε3 across locations, especially within Aβ plaques. DISCUSSION: Transcriptomic changes in AD consist primarily of neuroinflammation and neuronal dysfunction, are…

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    The Alzheimer's disease risk factor INPP5D restricts neuroprotective microglial responses in amyloid beta‐mediated pathology

    Joshua D. Samuels, Katelyn A. Moore, Hannah E. Ennerfelt, Alexis M. Johnson, Adeline E. Walsh and 2 more

    46 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13089OpenAlex

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    Abstract Introduction Mutations in INPP5D, which encodes for the SH2‐domain‐containing inositol phosphatase SHIP‐1, have recently been linked to an increased risk of developing late‐onset Alzheimer's disease. While INPP5D expression is almost exclusively restricted to microglia in the brain, little is known regarding how SHIP‐1 affects neurobiology or neurodegenerative disease pathogenesis. Methods We generated and investigated 5xFAD Inpp5dfl/flCx3cr1Ert2Cre mice to ascertain the function of microglial SHIP‐1 signaling in response to amyloid beta (Aβ)‐mediated pathology. Results SHIP‐1 deletion in microglia led to substantially enhanced recruitment of microglia to Aβ plaques, altered microglial gene expression, and marked improvements in neuronal health. Further, SHIP‐1 loss enhanced microglial plaque containment and Aβ engulfment when compared to microglia from Cre‐negative 5xFAD Inpp5dfl/fl littermate controls. Discussion These results define SHIP‐1 as a pivotal regulator of microglial responses during Aβ‐driven neurological disease and suggest that targeting SHIP‐1 may offer a…

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    Optimal combinations of CSF biomarkers for predicting cognitive decline and clinical conversion in cognitively unimpaired participants and mild cognitive impairment patients: A multi‐cohort study

    Gemma Salvadó, Victoria Larsson, Karly Alex Cody, Nicholas C. Cullen, Erin McMullen Jonaitis and 11 more

    46 citationsOpen access (CC-BY-NC)doi:10.1002/alz.12907OpenAlex

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    INTRODUCTION: Our objective was determining the optimal combinations of cerebrospinal fluid (CSF) biomarkers for predicting disease progression in Alzheimer's disease (AD) and other neurodegenerative diseases. METHODS: We included 1,983 participants from three different cohorts with longitudinal cognitive and clinical data, and baseline CSF levels of Aβ42, Aβ40, phosphorylated tau at threonine-181 (p-tau), neurofilament light (NfL), neurogranin, α-synuclein, soluble triggering receptor expressed on myeloid cells 2 (sTREM2), glial fibrillary acidic protein (GFAP), YKL-40, S100b, and interleukin 6 (IL-6) (Elecsys NeuroToolKit). RESULTS: ≥ 0.19) was sufficient to accurately predict change of the Mini-Mental State Examination (MMSE) in mild cognitive impairment (MCI) patients. P-tau/Aβ42 (AUC ≥ 0.87) and p-tau/Aβ42 together with NfL (AUC ≥ 0.75) were the best predictors of conversion to AD and all-cause dementia, respectively. DISCUSSION: P-tau/Aβ42 is sufficient for predicting progression in AD, with very high accuracy. Adding NfL improves the prediction of all-cause dementia…

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    APOE Christchurch‐mimetic therapeutic antibody reduces APOE‐mediated toxicity and tau phosphorylation

    Claudia Mariño, Paula Andrea Perez-Corredor, Michael O’Hare, Annie Heuer, Natalia Chmielewska and 17 more

    45 citationsOpen access (CC-BY)doi:10.1002/alz.13436OpenAlex

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    INTRODUCTION: We discovered that the APOE3 Christchurch (APOE3Ch) variant may provide resistance to Alzheimer's disease (AD). This resistance may be due to reduced pathological interactions between ApoE3Ch and heparan sulfate proteoglycans (HSPGs). METHODS: We developed and characterized the binding, structure, and preclinical efficacy of novel antibodies targeting human ApoE-HSPG interactions. RESULTS: We found that one of these antibodies, called 7C11, preferentially bound ApoE4, a major risk factor for sporadic AD, and disrupts heparin-ApoE4 interactions. We also determined the crystal structure of a Fab fragment of 7C11 and used computer modeling to predict how it would bind to ApoE. When we tested 7C11 in mouse models, we found that it reduced recombinant ApoE-induced tau pathology in the retina of MAPT*P301S mice and curbed pTau S396 phosphorylation in brains of systemically treated APOE4 knock-in mice. Targeting ApoE-HSPG interactions using 7C11 antibody may be a promising approach to developing new therapies for AD.

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    Plasma phosphorylated tau‐217 exhibits sex‐specific prognostication of cognitive decline and brain atrophy in cognitively unimpaired adults

    Rowan Saloner, Lawren A. VandeVrede, Breton Michael Asken, Emily W. Paolillo, Eva Q. Gontrum and 11 more

    45 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13454OpenAlex

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    INTRODUCTION: Accumulating evidence indicates disproportionate tau burden and tau-related clinical progression in females. However, sex differences in plasma phosphorylated tau (p-tau)217 prediction of subclinical cognitive and brain changes are unknown. METHODS: We measured baseline plasma p-tau217, glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) in 163 participants (85 cognitively unimpaired [CU], 78 mild cognitive impairment [MCI]). In CU, linear mixed effects models examined sex differences in plasma biomarker prediction of longitudinal domain-specific cognitive decline and brain atrophy. Cognitive models were repeated in MCI. RESULTS: In CU females, baseline plasma p-tau217 predicted verbal memory and medial temporal lobe trajectories such that trajectories significantly declined once p-tau217 concentrations surpassed 0.053 pg/ml, a threshold that corresponded to early levels of cortical amyloid aggregation in secondary amyloid positron emission tomography analyses. CU males exhibited similar rates of cognitive decline and brain atrophy, but these…

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    The intersection of social determinants of health and family care of people living with Alzheimer's disease and related dementias: A public health opportunity

    Joseph E. Gaugler, Soo Borson B, Fayron R. Epps, Regina A. Shih, Lauren J. Parker and 1 more

    44 citationsOpen access (CC-BY)doi:10.1002/alz.13437OpenAlex

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    In this Perspective article, we highlight current research to illustrate the intersection of social determinants of health (SDOHs) and Alzheimer's disease and related dementia (ADRD) caregiving. We then outline how public health can support ADRD family caregivers in the United States. Emerging research suggests that family care for persons with ADRD is influenced by SDOHs. Public health actions that address these intersections such as improved surveillance and identification of ADRD caregivers; building and enhancing community partnerships; advancing dementia-capable health care and related payment incentives; and reducing the stigma of dementia and ADRD caregiving can potentially enhance the health and well-being of dementia caregivers. By engaging in one or all of these actions, public health practitioners could more effectively address the myriad of challenges facing ADRD caregivers most at risk for emotional, social, financial, psychological, and health disruption.

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    Successful cognitive aging is associated with thicker anterior cingulate cortex and lower tau deposition compared to typical aging

    Stefania Pezzoli, Joseph Giorgio, Adam Martersteck, Lindsey Dobyns, Theresa M. Harrison and 1 more

    44 citationsOpen access (CC-BY)doi:10.1002/alz.13438OpenAlex

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    Abstract INTRODUCTION There is no consensus on either the definition of successful cognitive aging (SA) or the underlying neural mechanisms. METHODS We examined the agreement between new and existing definitions using: (1) a novel measure, the cognitive age gap (SA‐CAG, cognitive‐predicted age minus chronological age), (2) composite scores for episodic memory (SA‐EM), (3) non‐memory cognition (SA‐NM), and (4) the California Verbal Learning Test (SA‐CVLT). RESULTS Fair to moderate strength of agreement was found between the four definitions. Most SA groups showed greater cortical thickness compared to typical aging (TA), especially in the anterior cingulate and midcingulate cortices and medial temporal lobes. Greater hippocampal volume was found in all SA groups except SA‐NM. Lower entorhinal 18F‐Flortaucipir (FTP) uptake was found in all SA groups. DISCUSSION These findings suggest that a feature of SA, regardless of its exact definition, is resistance to tau pathology and preserved cortical integrity, especially in the anterior cingulate and midcingulate cortices. Highlights…

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    Large‐scale proteome and metabolome analysis of CSF implicates altered glucose and carbon metabolism and succinylcarnitine in Alzheimer's disease

    Daniel J. Panyard, Justin McKetney, Yuetiva K. Deming, Autumn Rose Morrow, Gilda E. Ennis and 17 more

    44 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13130OpenAlex

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    INTRODUCTION: A hallmark of Alzheimer's disease (AD) is the aggregation of proteins (amyloid beta [A] and hyperphosphorylated tau [T]) in the brain, making cerebrospinal fluid (CSF) proteins of particular interest. METHODS: We conducted a CSF proteome-wide analysis among participants of varying AT pathology (n = 137 participants; 915 proteins) with nine CSF biomarkers of neurodegeneration and neuroinflammation. RESULTS: ). Proteins from glucose and carbon metabolism pathways were enriched among amyloid- and tau-associated proteins, including malate dehydrogenase and aldolase A, whose associations with tau were replicated in an independent cohort (n = 717). CSF metabolomics identified and replicated an association of succinylcarnitine with phosphorylated tau and other biomarkers. DISCUSSION: These results implicate glucose and carbon metabolic dysregulation and increased CSF succinylcarnitine levels with amyloid and tau pathology in AD. HIGHLIGHTS: Cerebrospinal fluid (CSF) proteome enriched for extracellular, neuronal, immune, and protein processing. Glucose/carbon metabolic…

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    Liver integrity and the risk of Alzheimer's disease and related dementias

    Yifei Lü, James Russell Pike, Ron Cornelis Hoogeveen, Keenan A. Walker, Laura M. Raffield and 6 more

    43 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13601OpenAlex

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    INTRODUCTION: We examined midlife (1990-1992, mean age 57) and late-life (2011-2013, mean age 75) nonalcoholic fatty liver disease (NAFLD) and aminotransferase with incident dementia risk through 2019 in the Atherosclerosis Risk in Communities (ARIC) Study. METHODS: We characterized NAFLD using the fatty liver index and fibrosis-4, and we categorized aminotransferase using the optimal equal-hazard ratio (HR) approach. We estimated HRs for incident dementia ascertained from multiple data sources. RESULTS: Adjusted for demographics, alcohol consumption, and kidney function, individuals with low, intermediate, and high liver fibrosis in midlife (HRs: 1.45, 1.40, and 2.25, respectively), but not at older age, had higher dementia risks than individuals without fatty liver. A U-shaped association was observed for alanine aminotransferase with dementia risk, which was more pronounced in late-life assessment. DISCUSSION: Our findings highlight dementia burden in high-prevalent NAFLD and the important feature of late-life aminotransaminase as a surrogate biomarker linking liver…

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    The association of MIND diet with cognitive resilience to neuropathologies

    Maude Wagner, Puja Agarwal, Sue E. Leurgans, David A. A Bennett, Julie A. Schneider and 2 more

    43 citationsOpen accessdoi:10.1002/alz.12982OpenAlex

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    Abstract Introduction Cognitive resilience (CR) can be defined as the continuum of better through worse than expected cognition, given the degree of neuropathology. The relation of healthy diet patterns to CR remains to be elucidated. Methods Using longitudinal cognitive data and post mortem neuropathology from 578 deceased older adults, we examined associations between the Mediterranean‐DASH Intervention for Neurodegenerative Delay (MIND) diet at baseline and two standardized CR measures reflecting higher cognitive levels over time (CR), and slower decline (CRSlope), than expected given neuropathology. Results Compared to individuals in the lowest tertile of MIND score, those in the top tertile had higher CR (mean difference [MD] = 0.34; 95% confidence interval [CI] = 0.14, 0.55) and CRSlope (MD = 0.27; 95% CI = 0.05, 0.48), after multivariable adjustment. Overall MIND score was more strongly related to CR than the individual food components. Discussion The MIND diet is associated with both higher cognition and slower rates of cognitive decline, after controlling for…

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    Multimorbidity, cognitive phenotypes, and Alzheimer's disease plasma biomarkers in older adults: A population‐based study

    Yifei Ren, Yuanjing Li, Na Tian, Rui Liu, Yi Dong and 13 more

    42 citationsOpen access (CC-BY)doi:10.1002/alz.13519OpenAlex

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    INTRODUCTION: To examine the burden and clusters of multimorbidity in association with mild cognitive impairment (MCI), dementia, and Alzheimer's disease (AD)-related plasma biomarkers among older adults. METHODS: This population-based study included 5432 participants (age ≥60 years); of these, plasma amyloid beta (Aβ), total tau, and neurofilament light chain (NfL) were measured in a subsample (n = 1412). We used hierarchical clustering to generate five multimorbidity clusters from 23 chronic diseases. We diagnosed dementia and MCI following international criteria. Data were analyzed using logistic and linear regression models. RESULTS: The number of chronic diseases was associated with dementia (multivariable-adjusted odds ratio = 1.22; 95% confidence interval [CI] = 1.11 to 1.33), AD (1.13; 1.01 to 1.26), vascular dementia (VaD) (1.44; 1.25 to 1.64), and non-amnestic MCI (1.25; 1.13 to 1.37). Metabolic cluster was associated with VaD and non-amnestic MCI, whereas degenerative ocular cluster was associated with AD (p < 0.05). The number of chronic diseases was associated with…

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    Artificial intelligence for dementia prevention

    Danielle Newby, Vasiliki Orgeta, Charles R. Marshall, Ilianna Lourida, Christopher P. Albertyn and 14 more

    42 citationsOpen access (CC-BY)doi:10.1002/alz.13463OpenAlex

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    INTRODUCTION: A wide range of modifiable risk factors for dementia have been identified. Considerable debate remains about these risk factors, possible interactions between them or with genetic risk, and causality, and how they can help in clinical trial recruitment and drug development. Artificial intelligence (AI) and machine learning (ML) may refine understanding. METHODS: ML approaches are being developed in dementia prevention. We discuss exemplar uses and evaluate the current applications and limitations in the dementia prevention field. RESULTS: Risk-profiling tools may help identify high-risk populations for clinical trials; however, their performance needs improvement. New risk-profiling and trial-recruitment tools underpinned by ML models may be effective in reducing costs and improving future trials. ML can inform drug-repurposing efforts and prioritization of disease-modifying therapeutics. DISCUSSION: ML is not yet widely used but has considerable potential to enhance precision in dementia prevention. HIGHLIGHTS: Artificial intelligence (AI) is not widely used in the…

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    Robustness of CSF Aβ42/40 and Aβ42/P‐tau181 measured using fully automated immunoassays to detect AD‐related outcomes

    Antoine Leuzy, Niklas Mattsson, Nicholas C. Cullen, Erik Stomrud, Sebastian Palmqvist and 7 more

    42 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12897OpenAlex

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    INTRODUCTION: This study investigated the comparability of cerebrospinal fluid (CSF) cutoffs for Elecsys immunoassays for amyloid beta (Aβ)42/Aβ40 or Aβ42/phosphorylated tau (p-tau)181 and the effects of measurement variability when predicting Alzheimer's disease (AD)-related outcomes (i.e., Aβ-positron emission tomography [PET] visual read and AD neuropathology). METHODS: We studied 750 participants (BioFINDER study, Alzheimer's Disease Neuroimaging Initiative [ADNI], and University of California San Francisco [UCSF]). Youden's index was used to identify cutoffs and to calculate accuracy (Aβ-PET visual read as outcome). Using longitudinal variability in Aβ-negative controls, we identified a gray zone around cut-points where the risk of an inconsistent predicted outcome was >5%. RESULTS: For Aβ42/Aβ40, cutoffs across cohorts were <0.059 (BioFINDER), <0.057 (ADNI), and <0.058 (UCSF). For Aβ42/p-tau181, cutoffs were <41.90 (BioFINDER), <39.20 (ADNI), and <46.02 (UCSF). Accuracy was ≈90% for both Aβ42/Aβ40 and Aβ42/p-tau181 using these cutoffs. Using Aβ-PET as an outcome, 8.7% of…

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    Dual cognitive and mobility impairments and future dementia ‐ Setting a research agenda

    Qu Tian, Manuel Montero‐Odasso, Aron S. Buchman, Michelle M. Mielke, Sara E Espinoza and 8 more

    42 citationsOpen accessdoi:10.1002/alz.12905OpenAlex

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    Dual cognitive and mobility impairments are associated with an increased risk of dementia. Recent studies examining temporal trajectories of mobility and cognitive function in aging found that dual decline is associated with higher dementia risk than memory decline or gait decline only. Although initial data show that individuals with dual decline or impairment have excessive cardiovascular and metabolic risk factors, the causes of dual decline or what underlies dual decline with a high risk of dementia remain largely unknown. In December 2021, the National Institute on Aging Intramural and Extramural Programs jointly organized a workshop on Biology Underlying Moving and Thinking to explore the hypothesis that older persons with dual decline may develop dementia through a specific pathophysiological pathway. The working group discussed assessment methods for dual decline and possible mechanisms connecting dual decline with dementia risk and pinpointed the most critical questions to be addressed from a translational perspective.

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    Artificial intelligence for dementia research methods optimization

    Magda Bucholc, Charlotte R. James, Ahmad Al Khleifat, AmanPreet Badhwar, Natasha Clarke and 11 more

    41 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13441OpenAlex

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    Artificial intelligence (AI) and machine learning (ML) approaches are increasingly being used in dementia research. However, several methodological challenges exist that may limit the insights we can obtain from high-dimensional data and our ability to translate these findings into improved patient outcomes. To improve reproducibility and replicability, researchers should make their well-documented code and modeling pipelines openly available. Data should also be shared where appropriate. To enhance the acceptability of models and AI-enabled systems to users, researchers should prioritize interpretable methods that provide insights into how decisions are generated. Models should be developed using multiple, diverse datasets to improve robustness, generalizability, and reduce potentially harmful bias. To improve clarity and reproducibility, researchers should adhere to reporting guidelines that are co-produced with multiple stakeholders. If these methodological challenges are overcome, AI and ML hold enormous promise for changing the landscape of dementia research and care.…

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    Mapping sleep's oscillatory events as a biomarker of Alzheimer's disease

    Rachelle L. Pulver, Eugene Kronberg, Lindsey M. Medenblik, Vitaly O. Kheyfets, Alberto R. Ramos and 7 more

    41 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13420OpenAlex

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    Abstract INTRODUCTION Memory‐associated neural circuits produce oscillatory events including theta bursts (TBs), sleep spindles (SPs), and slow waves (SWs) in sleep electroencephalography (EEG). Changes in the “coupling” of these events may indicate early Alzheimer's disease (AD) pathogenesis. METHODS We analyzed 205 aging adults using single‐channel sleep EEG, cerebrospinal fluid (CSF) AD biomarkers, and Clinical Dementia Rating® (CDR®) scale. We mapped SW‐TB and SW‐SP neural circuit coupling precision to amyloid positivity, cognitive impairment, and CSF AD biomarkers. RESULTS Cognitive impairment correlated with lower TB spectral power in SW‐TB coupling. Cognitively unimpaired, amyloid positive individuals demonstrated lower precision in SW‐TB and SW‐SP coupling compared to amyloid negative individuals. Significant biomarker correlations were found in oscillatory event coupling with CSF Aβ 42 /Aβ 40 , phosphorylated‐ tau 181 , and total‐tau. DISCUSSION Sleep‐dependent memory processing integrity in neural circuits can be measured for both SW‐TB and SW‐SP coupling. This breakdown…

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    Distinct patterns of neurodegeneration after TBI and in Alzheimer's disease

    Neil Graham, James Howard Cole, Niall Bourke, Jonathan M. Schott, David James Sharp

    41 citationsOpen access (CC-BY)doi:10.1002/alz.12934OpenAlex

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    INTRODUCTION: Traumatic brain injury (TBI) is a dementia risk factor, with Alzheimer's disease (AD) more common following injury. Patterns of neurodegeneration produced by TBI can be compared to AD and aging using volumetric MRI. METHODS: A total of 55 patients after moderate to severe TBI (median age 40), 45 with AD (median age 69), and 61 healthy volunteers underwent magnetic resonance imaging over 2 years. Atrophy patterns were compared. RESULTS: AD patients had markedly lower baseline volumes. TBI was associated with increased white matter (WM) atrophy, particularly involving corticospinal tracts and callosum, whereas AD rates were increased across white and gray matter (GM). Subcortical WM loss was shared in AD/TBI, but deep WM atrophy was TBI-specific and cortical atrophy AD-specific. Post-TBI atrophy patterns were distinct from aging, which resembled AD. DISCUSSION: Post-traumatic neurodegeneration 1.9-4.0 years (median) following moderate-severe TBI is distinct from aging/AD, predominantly involving central WM. This likely reflects distributions of axonal injury, a…

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    Predictors of falls in older adults with and without dementia

    Safiyyah M. Okoye, Chanee D. Fabius, Lisa M. Reider, Jennifer L. Wolff

    41 citationsOpen accessdoi:10.1002/alz.12916OpenAlex

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    INTRODUCTION: Persons living with, versus without, dementia (PLWD) have heightened fall-risk. Little is known about whether fall-risk factors differ by dementia status. METHODS: Using the 2015 and 2016 National Health and Aging Trends Study, we prospectively identified fall-risk factors over a 12-month period among community-living older adults ≥65 years with and without dementia (n = 5581). RESULTS: Fall rates were higher among PLWD compared to persons without dementia (45.5% vs. 30.9%). In a multivariable model including sociodemographic, health, function, and environmental characteristics as predictors, vision impairment (OR: 2.22, 95% CI: 1.12-4.40), and living with a spouse versus alone (OR: 2.43, 95% CI: 1.09-5.43) predicted falls among PLWD, but not among persons without dementia. History of previous falls predicted subsequent falls regardless of dementia status (OR: 6.20, 95% CI: 3.81-10.09, and OR: 2.92, 95% CI: 2.50-3.40, respectively). DISCUSSION: Incorporating appropriate fall-risk factors could inform effective falls screening and prevention strategies for PLWD.…

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    Modeling the temporal evolution of plasma p‐tau in relation to amyloid beta and tau PET

    Petrice M. Cogswell, Emily S. Lundt, Terry M. Therneau, Heather J. Wiste, Jonathan Graff‐Radford and 10 more

    40 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13539OpenAlex

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    INTRODUCTION: The timing of plasma biomarker changes is not well understood. The goal of this study was to evaluate the temporal co-evolution of plasma and positron emission tomography (PET) Alzheimer's disease (AD) biomarkers. METHODS: We included 1408 Mayo Clinic Study of Aging and Alzheimer's Disease Research Center participants. An accelerated failure time (AFT) model was fit with amyloid beta (Aβ) PET, tau PET, plasma p-tau217, p-tau181, and glial fibrillary acidic protein (GFAP) as endpoints. RESULTS: Individual timing of plasma p-tau progression was strongly associated with Aβ PET and GFAP progression. In the population, GFAP became abnormal first, then Aβ PET, plasma p-tau, and tau PET temporal meta-regions of interest when applying cut points based on young, cognitively unimpaired participants. DISCUSSION: Plasma p-tau is a stronger indicator of a temporally linked response to elevated brain Aβ than of tau pathology. While Aβ deposition and a rise in GFAP are upstream events associated with tau phosphorylation, the temporal link between p-tau and Aβ PET was the strongest.…

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    Skeletal muscle mitochondrial function predicts cognitive impairment and is associated with biomarkers of Alzheimer's disease and neurodegeneration

    Qu Tian, Murat Bilgel, Keenan A. Walker, Abhay Moghekar, Kenneth W. Fishbein and 3 more

    40 citationsOpen accessdoi:10.1002/alz.13388OpenAlex

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    Abstract INTRODUCTION Mitochondrial dysfunction is implicated in the pathophysiology of many chronic diseases. Whether it is related to cognitive impairment and pathological markers is unknown. METHODS We examined the associations of in vivo skeletal muscle mitochondrial function (post‐exercise recovery rate of phosphocreatine [kPCr] via magnetic resonance [MR] spectroscopy with future mild cognitive impairment (MCI) or dementia, and with positron emission tomography (PET) and blood biomarkers of Alzheimer's disease [AD] and neurodegeneration (i.e., Pittsburgh Compound‐B [PiB] distribution volume ratio [DVR] for amyloid beta [Aβ], flortaucipir (FTP) standardized uptake value ratio [SUVR] for tau, Aβ 42 / 40 ratio, phosphorylated tau 181 [p‐tau181], neurofilament light chain [NfL], and glial fibrillary acidic protein [GFAP]). RESULTS After covariate adjustment, each standard deviation (SD) higher kPCr level was associated with 52% lower hazards of developing MCI/dementia, and with 59% lower odds of being PiB positive with specific associations in DVR of frontal, parietal, and…

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    Mendelian randomization study of diabetes and dementia in the Million Veteran Program

    ELIZABETH M. LITKOWSKI, Mark W. Logue, Rui Zhang, BRIAN R. CHAREST, Ethan M. Lange and 8 more

    40 citationsOpen accessdoi:10.1002/alz.13373OpenAlex

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    INTRODUCTION: Diabetes and dementia are diseases of high health-care burden worldwide. Individuals with diabetes have 1.4 to 2.2 times higher risk of dementia. Our objective was to evaluate evidence of causality between these two common diseases. METHODS: We conducted a one-sample Mendelian randomization (MR) analysis in the US Department of Veterans Affairs Million Veteran program. The study included 334,672 participants ≥65 years of age with type 2 diabetes and dementia case-control status and genotype data. RESULTS: For each standard deviation increase in genetically predicted diabetes, we found increased odds of three dementia diagnoses in non-Hispanic White participants (all-cause: odds ratio [OR] = 1.07 [1.05-1.08], P = 3.40E-18; vascular: OR = 1.11 [1.07-1.15], P = 3.63E-09, Alzheimer's disease [AD]: OR = 1.06 [1.02-1.09], P = 6.84E-04) and non-Hispanic Black participants (all-cause: OR = 1.06 [1.02-1.10], P = 3.66E-03, vascular: OR = 1.11 [1.04-1.19], P = 2.20E-03, AD: OR = 1.12 [1.02-1.23], P = 1.60E-02) but not in Hispanic participants (all P > 0.05). DISCUSSION: We found…

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    Anatomical MRI staging of frontotemporal dementia variants

    Vincent Planche, Boris Mansencal, José V. Manjón, Thomas Tourdias, Gwénaëlle Catheline and 1 more

    40 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.12975OpenAlex

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    INTRODUCTION: The three clinical variants of frontotemporal dementia (behavioral variant [bvFTD], semantic dementia, and progressive non-fluent aphasia [PNFA]) are likely to develop over decades, from the preclinical stage to death. METHODS: To describe the long-term chronological anatomical progression of FTD variants, we built lifespan brain charts of normal aging and FTD variants by combining 8022 quality-controlled MRIs from multiple large-scale data-bases, including 107 bvFTD, 44 semantic dementia, and 38 PNFA. RESULTS: We report in this manuscript the anatomical MRI staging schemes of the three FTD variants by describing the sequential divergence of volumetric trajectories between normal aging and FTD variants. Subcortical atrophy precedes focal cortical atrophy in specific behavioral and/or language networks, with a "radiological" prodromal phase lasting 8-10 years (time elapsed between the first structural alteration and canonical cortical atrophy). DISCUSSION: Amygdalar and striatal atrophy can be candidate biomarkers for future preclinical/prodromal FTD variants…

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    Associations of cortical SPP1 and ITGAX with cognition and common neuropathologies in older adults

    Kátia de Paiva Lopes, Lei Yu, Xianli Shen, Yiguo Qiu, Shinya Tasaki and 8 more

    39 citationsOpen access (CC-BY-NC-ND)doi:10.1002/alz.13474OpenAlex

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    INTRODUCTION: cells is known to be associated with microglia activation and neuroinflammatory diseases. As most studies rely on mouse models, we investigated these genes and proteins in the cortical brain tissue of older adults and their role in Alzheimer's disease (AD) and related disorders. METHODS: We leveraged protein measurements, single-nuclei, and RNASeq data from the Religious Orders Study and Rush Memory and Aging Project (ROSMAP) of over 1200 samples for association analysis. RESULTS: Expression of SPP1 and its encoded protein osteopontin were associated with faster cognitive decline and greater odds of common neuropathologies. At single-cell resolution, integrin subunit alpha X (ITGAX) was highly expressed in microglia, where specific subpopulations were associated with AD and cerebral amyloid angiopathy. DISCUSSION: The study provides evidence of SPP1 and ITGAX association with cognitive decline and common neuropathologies identifying a microglial subset associated with disease.

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    Sex‐specific declines in cholinergic‐targeting tRNA fragments in the nucleus accumbens in Alzheimer's disease

    Dana Shulman, Serafima Dubnov, Tamara Zorbaz, Nimrod Madrer, Iddo Paldor and 6 more

    39 citationsOpen access (CC-BY-NC)doi:10.1002/alz.13095OpenAlex

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    INTRODUCTION: Females with Alzheimer's disease (AD) suffer accelerated dementia and loss of cholinergic neurons compared to males, but the underlying mechanisms are unknown. Seeking causal contributors to both these phenomena, we pursued changes in transfer RNS (tRNA) fragments (tRFs) targeting cholinergic transcripts (CholinotRFs). METHODS: We analyzed small RNA-sequencing (RNA-Seq) data from the nucleus accumbens (NAc) brain region which is enriched in cholinergic neurons, compared to hypothalamic or cortical tissues from AD brains; and explored small RNA expression in neuronal cell lines undergoing cholinergic differentiation. RESULTS: NAc CholinotRFs of mitochondrial genome origin showed reduced levels that correlated with elevations in their predicted cholinergic-associated mRNA targets. Single-cell RNA seq from AD temporal cortices showed altered sex-specific levels of cholinergic transcripts in diverse cell types; inversely, human-originated neuroblastoma cells under cholinergic differentiation presented sex-specific CholinotRF elevations. DISCUSSION: Our findings support…

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The cohort is every article, review and book chapter OpenAlex attributes to Alzheimer s & Dementia with publication year 2023, excluding retracted works and paratext such as editorials and errata. The top 100 by citation count are listed; the percentile is the rank divided by the cohort size. 100 of the 100 entries have an abstract in OpenAlex. Counts were read on 29 October 2026 and will not be updated on this page, so a quoted rank stays verifiable. Full rules on the methodology page.

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