Most-cited articles · 2024
The 100 most-cited articles in PeerJ, 2024
Ranked by OpenAlex citation count on 29 October 2026, out of 2,015 eligible articles PeerJ published in 2024. Ranks are frozen; this page will not change. Number one, with 1,065 citations: phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things).
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- 2026-10-29
The highest cited PeerJ articles from 2024 are led by methodological and review work. The top paper is "phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things)" by Liam J. Revell, with 1065 citations. Other prominent themes include exercise and sports science, such as a study of an elastomeric sports garment and upper-limb resistance exercises (208 citations), and systematic reviews on health interventions, including combined aerobic and resistance training in type 2 diabetes (130 citations). Reviews of drug metabolism and plant growth promoting bacteria also rank highly.
Readers can use this list to see which 2024 PeerJ articles attracted the most citations according to OpenAlex, out of 2015 eligible articles. The ranking reflects citation counts at the time of compilation and covers topics from phylogenetics and clinical pharmacology to agriculture, microbiology, and sports performance. Because the list draws only on titles and abstracts, it offers a starting point for locating influential work rather than a summary of findings.
Introduction written from the titles and abstracts on this list. Every figure below is the source.
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- 1top 0.1%
phytools 2.0: an updated R ecosystem for phylogenetic comparative methods (and other things)
Liam J. Revell
1,065 citationsOpen access (CC-BY)doi:10.7717/peerj.16505OpenAlex
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ABSTRACT Phylogenetic comparative methods comprise the general endeavor of using an estimated phylogenetic tree (or set of trees) to make secondary inferences: about trait evolution, diversification dynamics, biogeography, community ecology, and a wide range of other phenomena or processes. Over the past ten years or so, the phytools R package (Revell 2012) has grown to become an important research tools for phylogenetic comparative analysis. phytools is a diverse contributed R library now consisting of hundreds of different functions covering a variety of methods and purposes in phylogenetic biology. As of the time of writing, phytools included functionality for fitting models of trait evolution, for reconstructing ancestral states, for studying diversification on trees, and for visualizing phylogenies, comparative data, and fitted models, as well numerous other tasks related to phylogenetic biology. Here, I describe some significant features of and recent updates to phytools , while also illustrating several popular workflows of the phytools computational software.
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A new sports garment with elastomeric technology optimizes physiological, mechanical, and psychological acute responses to pushing upper-limb resistance exercises
Ángel Saez-Berlanga, Carlos Babiloni-López, Ana María Ferri-Caruana, Pablo Jiménez‐Martínez, Amador García‐Ramos and 3 more
208 citationsOpen access (CC-BY)doi:10.7717/peerj.17008OpenAlex
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This study aimed to compare the mechanical (lifting velocity and maximum number of repetitions), physiological (muscular activation, lactate, heart rate, and blood pressure), and psychological (rating of perceived exertion) responses to upper-body pushing exercises performed wearing a sports elastomeric garment or a placebo garment. Nineteen physically active young adults randomly completed two training sessions that differed only in the sports garment used (elastomeric technology or placebo). In each session, subjects performed one set of seated shoulder presses and another set of push-ups until muscular failure. The dependent variables were measured immediately after finishing the set of each exercise. Compared to the placebo garment, the elastomeric garment allowed participants to obtain greater muscular activation in the pectoralis major (push-ups: p = 0.04, d = 0.49; seated shoulder press: p < 0.01, d = 0.64), triceps brachialis (push-ups, p < 0.01, d = 0.77; seated shoulder press: p < 0.01, d = 0.65), and anterior deltoid (push-ups: p < 0.01, d = 0.72; seated shoulder press: p…
- 3top 0.2%
Effects of combined aerobic and resistance training on glycemic control, blood pressure, inflammation, cardiorespiratory fitness and quality of life in patients with type 2 diabetes and overweight/obesity: a systematic review and meta-analysis
Sameer Badri Al-Mhanna, Alexios Batrakoulis, Wan Syaheedah Wan Ghazali, Mahaneem Mohamed, Abdulaziz A. Aldayel and 7 more
130 citationsOpen access (CC-BY)doi:10.7717/peerj.17525OpenAlex
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Background: Structured aerobic or resistance training alone seems to be a beneficial tool for improving glucose homeostasis, chronic systemic inflammation, resting cardiovascular function, and mental health in people with obesity and type 2 diabetes mellitus (T2DM). The aim of the present study was to synthesize the available data on the effectiveness of combined aerobic and resistance training (CART) on glycemic control, blood pressure, inflammation, cardiorespiratory fitness (CRF), and quality of life (QoL) in overweight and obese individuals with T2DM. Methods: A database search was carried out in PubMed, Web of Science, Scopus, Science Direct, Cochrane Library, and Google Scholar from inception up to May 2023. The Cochrane risk of bias tool was used to assess eligible studies, and the GRADE method to evaluate the reliability of evidence. A random-effects model was used, and data were analyzed using standardized mean differences and 95% confidence intervals. The study protocol was registered in the International Prospective Register of Systematic Reviews (ID: CRD42022355612).…
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CYP3A4 and CYP3A5: the crucial roles in clinical drug metabolism and the significant implications of genetic polymorphisms
Yuqing Zhang, Ziying Wang, Yuanchao Wang, Weikai Jin, Zheyan Zhang and 3 more
126 citationsOpen access (CC-BY)doi:10.7717/peerj.18636OpenAlex
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CYP3A, a key member of the cytochrome P450 (CYP450) superfamily, is integral to drug metabolism, processing a substantial portion of medications. Their role in drug metabolism is particularly prominent, as CYP3A4 and CYP3A5 metabolize approximately 30-50% of known drugs. The genetic polymorphism of CYP3A4/5 is significant inter-individual variability in enzymatic activity, which can result in different pharmacokinetic profiles in response to the same drug among individuals. These polymorphisms can lead to either increased drug toxicity or reduced therapeutic effects, requiring dosage adjustments based on genetic profiles. Consequently, the study of the enzymatic activity of CYP3A4/5 gene variants is of great importance for the formulation of personalized treatment regimens. This article first reviews the role of CYP3A4/5 in drug metabolism in the human body, including inhibitors and inducers of CYP3A4/5 and drug-drug interactions. In terms of genetic polymorphism, it discusses the detection methods, enzymatic kinetic characteristics, and clinical guidelines for CYP3A5. Finally, the…
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Plant growth promoting bacteria (PGPB)-induced plant adaptations to stresses: an updated review
Awmpuizeli Fanai, Beirachhitha Bohia, Felicia Lalremruati, Nancy Lalhriatpuii, Lalrokimi and 3 more
99 citationsOpen access (CC-BY)doi:10.7717/peerj.17882OpenAlex
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Plants and bacteria are co-evolving and interact with one another in a continuous process. This interaction enables the plant to assimilate the nutrients and acquire protection with the help of beneficial bacteria known as plant growth-promoting bacteria (PGPB). These beneficial bacteria naturally produce bioactive compounds that can assist plants' stress tolerance. Moreover, they employ various direct and indirect processes to induce plant growth and protect plants against pathogens. The direct mechanisms involve phytohormone production, phosphate solubilization, zinc solubilization, potassium solubilization, ammonia production, and nitrogen fixation while, the production of siderophores, lytic enzymes, hydrogen cyanide, and antibiotics are included under indirect mechanisms. This property can be exploited to prepare bioformulants for biofertilizers, biopesticides, and biofungicides, which are convenient alternatives for chemical-based products to achieve sustainable agricultural practices. However, the application and importance of PGPB in sustainable agriculture are still…
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Comprehensive analysis of bioplastics: life cycle assessment, waste management, biodiversity impact, and sustainable mitigation strategies
Kushi Yadav, Ganesh Chandrakant Nikalje
92 citationsOpen access (CC-BY)doi:10.7717/peerj.18013OpenAlex
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Bioplastics are emerging as a promising alternative to traditional plastics, driven by the need for more sustainable options. This review article offers an in-depth analysis of the entire life cycle of bioplastics, from raw material cultivation to manufacturing and disposal, with a focus on environmental impacts at each stage. It emphasizes the significance of adopting sustainable agricultural practices and selecting appropriate feedstock to improve environmental outcomes. The review highlights the detrimental effects of unsustainable farming methods, such as pesticide use and deforestation, which can lead to soil erosion, water pollution, habitat destruction, and increased greenhouse gas emissions. To address these challenges, the article advocates for the use of efficient extraction techniques and renewable energy sources, prioritizing environmental considerations throughout the production process. Furthermore, the methods for reducing energy consumption, water usage, and chemical inputs during manufacturing by implementing eco-friendly technologies. It stresses the importance of…
- 7top 0.4%
Insights and progress on the biosynthesis, metabolism, and physiological functions of gamma-aminobutyric acid (GABA): a review
Qingli Zhang, Lei Zhu, Hailong Li, Qu Chen, Nan Li and 12 more
91 citationsOpen access (CC-BY)doi:10.7717/peerj.18712OpenAlex
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GABA (γ-aminobutyric acid) is a non-protein amino acid that occurs naturally in the human brain, animals, plants and microorganisms. It is primarily produced by the irreversible action of glutamic acid decarboxylase (GAD) on the α-decarboxylation of L-glutamic acid. As a major neurotransmitter in the brain, GABA plays a crucial role in behavior, cognition, and the body’s stress response. GABA is mainly synthesized through the GABA shunt and the polyamine degradation pathways. It works through three receptors (GABA A , GABA B , and GABA C ), each exhibiting different pharmacological and physiological characteristics. GABA has a variety of physiological roles and applications. In plants, it regulates growth, development and stress responses. In mammals, it influences physiological functions such as nervous system regulation, blood pressure equilibrium, liver and kidneys enhancement, hormone secretion regulation, immunity enhancement, cancer prevention, as well as anti-aging effects. As a biologically active ingredient, GABA possesses unique physiological effects and medicinal value,…
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Effects of soil pH on the growth, soil nutrient composition, and rhizosphere microbiome of Ageratina adenophora
Yun Long Xia, Junna Feng, Hongbo Zhang, Deyu Xiong, Lingdong Kong and 2 more
82 citationsOpen access (CC-BY)doi:10.7717/peerj.17231OpenAlex
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Ageratina adenophora is an invasive weed species found in many countries. Methods to control the spread of this weed have been largely unsuccessful. Soil pH is the most important soil factor affecting the availability of nutrients for plant and impacting its growth. Understanding the mechanisms of the influence of soil pH on the growth of A. adenophora may help to develop effective control measures. In this study, we artificially changed the soil pH in pot experiments for A. adenophora. We studied the effects of acidic (pH 5.5), weakly acidic (pH 6.5), neutral (pH 7.2), and alkaline (pH 9.0) soils on the growth, availability of soil nutrients, activity of antioxidant enzymes, levels of redox markers in the leaves, and the structure and diversity of the rhizosphere microbiome. Soil with a pH 7.2 had a higher (47.8%) below-ground height versus soils of pH 5.5 at day 10; plant had a higher (11.3%) above-ground height in pH 7.2 soils than pH 9.0 soils at day 90; no differences in the fresh and dry weights of its above- and belowground parts, plant heights, and root lengths were observed…
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Effects of semaglutide on gut microbiota, cognitive function and inflammation in obese mice
Jing Feng, Zhenjie Teng, Yang Yu, Jingzhen Liu, Shuchun Chen
63 citationsOpen access (CC-BY)doi:10.7717/peerj.17891OpenAlex
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Objective This study aims to investigate the effects of semaglutide on gut microbiota, cognitive function, and inflammation in obese mice. Method Twenty-four C57BL/6J male mice were randomly assigned to three groups: a normal-chow diet group (NCD, n = 8), high-fat diet group (HFD, n = 8), and HFD+semaglutide group (Sema, n = 8). The mice were fed a HFD to establish an animal model of obesity and then administered with semaglutide or saline for 12 weeks. Cognitive function was assessed using the Morris water maze test. Serum pro-inflammatory cytokines were measured. 16S rRNA gene sequencing technology was used to explore gut microbiota characteristics in obese mice. Result Obese mice showed significant cognitive impairment and inflammation. Semaglutide improved cognitive function and attenuated inflammation induced by a HFD diet. The abundance of gut microbiota was significantly changed in the HFD group, including decreased Akkermansia , Muribaculaceae , Coriobacteriaceae _UCG_002, Clostridia _UCG_014 and increased Romboutsia , Dubosiella , Enterorhabdus . Whereas semaglutide could…
- 10top 0.5%
How does physical activity improve adolescent resilience? Serial indirect effects via self-efficacy and basic psychological needs
Xuening Li, Jing Wang, Huasen Yu, Yang Liu, Xiaoling Xu and 2 more
62 citationsOpen access (CC-BY)doi:10.7717/peerj.17059OpenAlex
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Background Resilience is vital for improving mental health and well-being during adolescence, which is an important yet vulnerable period. Previous research has indicated that physical activity enhances individual resilience. However, limited studies have examined underlying psychological mechanisms between them. The current study aimed to investigate the effect of physical activity on adolescent resilience via self-efficacy and basic psychological needs. Methods A cross-sectional survey was conducted with 1,732 high school students aged 16 to 20 years old (mean age: 16.51 ± 0.77 years), with nearly equal number of boys (47.63%) and girls (52.37%). They each completed the Physical Exercise Questionnaire, Basic Psychological Needs in Exercise Scale, General Self-Efficacy Scale, and Resilience Scale, respectively. A serial indirect model was constructed to examine how physical activity influences resilience. Results Structural equation model analysis revealed that physical activity significantly and directly predicted resilience. When self-efficacy and basic psychological needs were…
- 11top 0.6%
An insight into impact of nanomaterials toxicity on human health
Wajhul Qamar, Shweta Gulia, Mohammad Athar, Razi Ahmad, Mohammad Tarique Imam and 5 more
61 citationsOpen access (CC-BY)doi:10.7717/peerj.17807OpenAlex
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In recent years, advances in nanotechnology have significantly influenced electronics manufacturing, industrial processes, and medical research. Various industries have seen a surge in the use of nanomaterials. However, several researchers have raised the alarm about the toxicological nature of nanomaterials, which appear to be quite different from their crude forms. This altered nature can be attributed to their unique physicochemical profile. They can adversely affect human health and the environment. Nanomaterials that have been released into the environment tend to accumulate over time and can cause a significant impact on the ecosystem and organisms with adverse health effects. Increased use of nanoparticles has led to increased human exposure in their daily lives, making them more vulnerable to nanoparticle toxicity. Because of their small size, nanomaterials can readily cross biological membranes and enter cells, tissues, and organs. Therefore, the effect of nanomaterials on the human environment is of particular concern. The toxicological effects of nanomaterials and their…
- 12top 0.6%
Relationship between accelerometer-measured sleep duration and Stroop performance: a functional near-infrared spectroscopy study among young adults
Yanwei You, Jianxiu Liu, Xingtian Li, Peng Wang, Ruidong Liu and 1 more
60 citationsOpen access (CC-BY)doi:10.7717/peerj.17057OpenAlex
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Objectives: Short sleep is becoming more common in modern society. This study aimed to explore the relationship between accelerometer-measured sleep duration and cognitive performance among young adults as well as the underlying hemodynamic mechanisms. Methods: A total of 58 participants were included in this study. Participants were asked to wear an ActiGraph GT3X+ accelerometer to identify their sleep duration for 7 consecutive days. Cognitive function was assessed by the Stroop test. Two conditions, including the congruent and incongruent Stroop, were set. In addition, stratified analyses were used to examine sensitivity. 24-channel functional near-infrared spectroscopy (fNIRS) equipment was applied to measure hemodynamic changes of the prefrontal cortex (PFC) during cognitive tasks. Results: = 0.024) was observed in the severe short sleep (<6 h). Moreover, a stratified analysis was conducted to examining gender, age, BMI, birthplace, and education's impact on sleep duration and the incongruent Stroop test accuracy, confirming a consistent correlation across all demographics. In…
- 13top 0.7%
Green nanobiocatalysts: enhancing enzyme immobilization for industrial and biomedical applications
Doaa S. R. Khafaga, Ghazala Muteeb, Abdullrahman Elgarawany, Mohammad Aatif, Mohd Farhan and 3 more
58 citationsOpen access (CC-BY-NC)doi:10.7717/peerj.17589OpenAlex
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Nanobiocatalysts (NBCs), which merge enzymes with nanomaterials, provide a potent method for improving enzyme durability, efficiency, and recyclability. This review highlights the use of eco-friendly synthesis methods to create sustainable nanomaterials for enzyme transport. We investigate different methods of immobilization, such as adsorption, ionic and covalent bonding, entrapment, and cross-linking, examining their pros and cons. The decreased environmental impact of green-synthesized nanomaterials from plants, bacteria, and fungi is emphasized. The review exhibits the various uses of NBCs in food industry, biofuel production, and bioremediation, showing how they can enhance effectiveness and eco-friendliness. Furthermore, we explore the potential impact of NBCs in biomedicine. In general, green nanobiocatalysts are a notable progression in enzyme technology, leading to environmentally-friendly and effective biocatalytic methods that have important impacts on industrial and biomedical fields.
- 14top 0.7%
TICI: a taxon-independent community index for eDNA-based ecological health assessment
Shaun Wilkinson, Amy A. Gault, Susan A. Welsh, Joshua P. Smith, Bruno O. David and 6 more
56 citationsOpen access (CC-BY)doi:10.7717/peerj.16963OpenAlex
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Global biodiversity is declining at an ever-increasing rate. Yet effective policies to mitigate or reverse these declines require ecosystem condition data that are rarely available. Morphology-based bioassessment methods are difficult to scale, limited in scope, suffer prohibitive costs, require skilled taxonomists, and can be applied inconsistently between practitioners. Environmental DNA (eDNA) metabarcoding offers a powerful, reproducible and scalable solution that can survey across the tree-of-life with relatively low cost and minimal expertise for sample collection. However, there remains a need to condense the complex, multidimensional community information into simple, interpretable metrics of ecological health for environmental management purposes. We developed a riverine taxon-independent community index (TICI) that objectively assigns indicator values to amplicon sequence variants (ASVs), and significantly improves the statistical power and utility of eDNA-based bioassessments. The TICI model training step uses the Chessman iterative learning algorithm to assign health…
- 15top 0.8%
Revolutionizing CAD/CAM-based restorative dental processes and materials with artificial intelligence: a concise narrative review
Hanin Essam Yeslam, Nadine Freifrau von Maltzahn, Hani M. Nassar
54 citationsOpen access (CC-BY)doi:10.7717/peerj.17793OpenAlex
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Artificial intelligence (AI) is increasingly prevalent in biomedical and industrial development, capturing the interest of dental professionals and patients. Its potential to improve the accuracy and speed of dental procedures is set to revolutionize dental care. The use of AI in computer-aided design/computer-aided manufacturing (CAD/CAM) within the restorative dental and material science fields offers numerous benefits, providing a new dimension to these practices. This study aims to provide a concise overview of the implementation of AI-powered technologies in CAD/CAM restorative dental procedures and materials. A comprehensive literature search was conducted using keywords from 2000 to 2023 to obtain pertinent information. This method was implemented to guarantee a thorough investigation of the subject matter. Keywords included; "Artificial Intelligence", "Machine Learning", "Neural Networks", "Virtual Reality", "Digital Dentistry", "CAD/CAM", and "Restorative Dentistry". Artificial intelligence in digital restorative dentistry has proven to be highly beneficial in various…
- 16top 0.8%
The effects of COVID-19 on agriculture supply chain, food security, and environment: a review
Haider Mahmood, Maham Furqan, Gowhar Meraj, Muhammad Shahid Hassan
52 citationsOpen access (CC-BY)doi:10.7717/peerj.17281OpenAlex
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COVID-19 has a deep impact on the economic, environmental, and social life of the global population. Particularly, it disturbed the entire agriculture supply chain due to a shortage of labor, travel restrictions, and changes in demand during lockdowns. Consequently, the world population faced food insecurity due to a reduction in food production and booming food prices. Low-income households face food security challenges because of limited income generation during the pandemic. Thus, there is a need to understand comprehensive strategies to meet the complex challenges faced by the food industry and marginalized people in developing countries. This research is intended to review the agricultural supply chain, global food security, and environmental dynamics of COVID-19 by exploring the most significant literature in this domain. Due to lockdowns and reduced industrial production, positive environmental effects are achieved through improved air and water quality and reduced noise pollution globally. However, negative environmental effects emerged due to increasing medical waste,…
- 17top 0.9%
Biosynthesis of zinc oxide nanoparticles via neem extract and their anticancer and antibacterial activities
Hossam Saad EL-BELTAGI, Marwa Ragab, Ali Osman, Ragab A. El-Masry, Khairiah Mubarak Alwutayd and 5 more
44 citationsOpen access (CC-BY)doi:10.7717/peerj.17588OpenAlex
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In the present study, zinc oxide nanoparticles (ZnO-NPs) were synthesized using neem leaf aqueous extracts and characterized using transmission electron microscopy (TEM), ultraviolet visible spectroscopy (UV-Vis), and dynamic light scattering (DLS). Then compare its efficacy as anticancer and antibacterial agents with chemically synthesized ZnO-NPs and the neem leaf extract used for the green synthesis of ZnO-NPs. The TEM, UV-vis, and particle size confirmed that the developed ZnO-NPs are nanoscale. The chemically and greenly synthesized ZnO-NPs showed their optical absorbance at 328 nm and 380 nm, respectively, and were observed as spherical particles with a size of about 85 nm and 62.5 nm, respectively. HPLC and GC-MS were utilized to identify the bioactive components in the neem leaf aqueous extract employed for the eco-friendly production of ZnO-NPs. The HPLC analysis revealed that the aqueous extract of neem leaf contains 19 phenolic component fractions. The GC-MS analysis revealed the existence of 21 bioactive compounds. The antiproliferative effect of green ZnO-NPs was…
- 18top 0.9%
Metagenomic assembly is the main bottleneck in the identification of mobile genetic elements
Jesse J. Kerkvliet, Alex Bossers, Jannigje Gerdien Kers, Rodrigo Silva Meneses, Rob J. L. Willems and 1 more
43 citationsOpen access (CC-BY)doi:10.7717/peerj.16695OpenAlex
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Antimicrobial resistance genes (ARG) are commonly found on acquired mobile genetic elements (MGEs) such as plasmids or transposons. Understanding the spread of resistance genes associated with mobile elements (mARGs) across different hosts and environments requires linking ARGs to the existing mobile reservoir within bacterial communities. However, reconstructing mARGs in metagenomic data from diverse ecosystems poses computational challenges, including genome fragment reconstruction (assembly), high-throughput annotation of MGEs, and identification of their association with ARGs. Recently, several bioinformatics tools have been developed to identify assembled fragments of plasmids, phages, and insertion sequence (IS) elements in metagenomic data. These methods can help in understanding the dissemination of mARGs. To streamline the process of identifying mARGs in multiple samples, we combined these tools in an automated high-throughput open-source pipeline, MetaMobilePicker, that identifies ARGs associated with plasmids, IS elements and phages, starting from short metagenomic…
- 19top 1%
Integrating whole genome sequencing and machine learning for predicting antimicrobial resistance in critical pathogens: a systematic review of antimicrobial susceptibility tests
Carlos M. Ardila, Pradeep Kumar Yadalam, Daniel González‐Arroyave
40 citationsOpen access (CC-BY)doi:10.7717/peerj.18213OpenAlex
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Background: Infections caused by antibiotic-resistant bacteria pose a major challenge to modern healthcare. This systematic review evaluates the efficacy of machine learning (ML) approaches in predicting antimicrobial resistance (AMR) in critical pathogens (CP), considering Whole Genome Sequencing (WGS) and antimicrobial susceptibility testing (AST). Methods: The search covered databases including PubMed/MEDLINE, EMBASE, Web of Science, SCOPUS, and SCIELO, from their inception until June 2024. The review protocol was officially registered on PROSPERO (CRD42024543099). Results: The review included 26 papers, analyzing data from 104,141 microbial samples. Random Forest (RF), XGBoost, and logistic regression (LR) emerged as the top-performing models, with mean Area Under the Receiver Operating Characteristic (AUC) values of 0.89, 0.87, and 0.87, respectively. RF showed superior performance with AUC values ranging from 0.66 to 0.97, while XGBoost and LR showed similar performance with AUC values ranging from 0.83 to 0.91 and 0.76 to 0.96, respectively. Most studies indicate that…
- 20top 1%
Promoting sustainable agriculture by exploiting plant growth-promoting rhizobacteria (PGPR) to improve maize and cowpea crops
Nadège Adoukè Agbodjato, Olubukola Oluranti Babalola
40 citationsOpen access (CC-BY)doi:10.7717/peerj.16836OpenAlex
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Maize and cowpea are among the staple foods most consumed by most of the African population, and are of significant importance in food security, crop diversification, biodiversity preservation, and livelihoods. In order to satisfy the growing demand for agricultural products, fertilizers and pesticides have been extensively used to increase yields and protect plants against pathogens. However, the excessive use of these chemicals has harmful consequences on the environment and also on public health. These include soil acidification, loss of biodiversity, groundwater pollution, reduced soil fertility, contamination of crops by heavy metals, etc. Therefore, essential to find alternatives to promote sustainable agriculture and ensure the food and well-being of the people. Among these alternatives, agricultural techniques that offer sustainable, environmentally friendly solutions that reduce or eliminate the excessive use of agricultural inputs are increasingly attracting the attention of researchers. One such alternative is the use of beneficial soil microorganisms such as plant…
- 21top 1.1%
Gut microbiota and its metabolites in Alzheimer’s disease: from pathogenesis to treatment
Xinfu Zou, Guoqiang Zou, Xinyan Zou, Kangfeng Wang, Zetao Chen
40 citationsOpen access (CC-BY)doi:10.7717/peerj.17061OpenAlex
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Introduction: An increasing number of studies have demonstrated that altered microbial diversity and function (such as metabolites), or ecological disorders, regulate bowel-brain axis involvement in the pathophysiologic processes in Alzheimer's disease (AD). The dysregulation of microbes and their metabolites can be a double-edged sword in AD, presenting the possibility of microbiome-based treatment options. This review describes the link between ecological imbalances and AD, the interactions between AD treatment modalities and the microbiota, and the potential of interventions such as prebiotics, probiotics, synbiotics, fecal microbiota transplantation, and dietary interventions as complementary therapeutic strategies targeting AD pathogenesis and progression. Survey methodology: Articles from PubMed and china.com on intestinal flora and AD were summarized to analyze the data and conclusions carefully to ensure the comprehensiveness, completeness, and accuracy of this review. Conclusions: Regulating the gut flora ecological balance upregulates neurotrophic factor expression,…
- 22top 1.1%
Prediction of PM2.5 concentration based on a CNN-LSTM neural network algorithm
Xuesong Bai, Na Zhang, Xiaoyi Cao, Wenqian Chen
38 citationsOpen access (CC-BY)doi:10.7717/peerj.17811OpenAlex
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Fine particulate matter (PM2.5) is a major air pollutant affecting human survival, development and health. By predicting the spatial distribution concentration of PM2.5, pollutant sources can be better traced, allowing measures to protect human health to be implemented. Thus, the purpose of this study is to predict and analyze the PM2.5 concentration of stations based on the integrated deep learning of a convolutional neural network long short-term memory (CNN-LSTM) model. To solve the complexity and nonlinear characteristics of PM2.5 time series data problems, we adopted the CNN-LSTM deep learning model. We collected the PM2.5data of Qingdao in 2020 as well as meteorological factors such as temperature, wind speed and air pressure for pre-processing and characteristic analysis. Then, the CNN-LSTM deep learning model was integrated to capture the temporal and spatial features and trends in the data. The CNN layer was used to extract spatial features, while the LSTM layer was used to learn time dependencies. Through comparative experiments and model evaluation, we found that the…
- 23top 1.2%
Screening of salt tolerance of maize ( Zea mays L.) lines using membership function value and GGE biplot analysis
Huijuan Tian, Hong Shi Liu, Dan Zhang, Mengting Hu, Fulai Zhang and 2 more
38 citationsOpen access (CC-BY)doi:10.7717/peerj.16838OpenAlex
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Soil salinization is a widely recognized global environmental concern that has a significant impact on the sustainable development of agriculture at a global scale. Maize, a major crop that contributes to the global agricultural economy, is particularly vulnerable to the adverse effects of salt stress, which can hinder its growth and development from germination to the seedling stage. This study aimed to screen highly salt-tolerant maize varieties by using four NaCl concentrations of 0, 60, 120, and 180 mMol/L. Various agronomic traits and physiological and biochemical indices associated with salt tolerance were measured, and salt tolerance was evaluated using principal component analysis, membership function method, and GGE biplot analysis. A total of 41 local maize varieties were assessed based on their D values. The results show that stem thickness, germ length, radicle length, leaf area, germination rate, germination index, salt tolerance index, and seed vigor all decreased as salt concentration increased, while electrical conductivity and salt injury index increased with the…
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World of Crayfish™: a web platform towards real-time global mapping of freshwater crayfish and their pathogens
Mihaela C. Ion, Caitlin C. Bloomer, Tudor I. Bărăscu, Francisco J. Oficialdegui, Nathaniel F. Shoobs and 25 more
36 citationsOpen access (CC-BY)doi:10.7717/peerj.18229OpenAlex
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Freshwater crayfish are amongst the largest macroinvertebrates and play a keystone role in the ecosystems they occupy. Understanding the global distribution of these animals is often hindered due to a paucity of distributional data. Additionally, non-native crayfish introductions are becoming more frequent, which can cause severe environmental and economic impacts. Management decisions related to crayfish and their habitats require accurate, up-to-date distribution data and mapping tools. Such data are currently patchily distributed with limited accessibility and are rarely up-to-date. To address these challenges, we developed a versatile e-portal to host distributional data of freshwater crayfish and their pathogens (using Aphanomyces astaci, the causative agent of the crayfish plague, as the most prominent example). Populated with expert data and operating in near real-time, World of Crayfish™ is a living, publicly available database providing worldwide distributional data sourced by experts in the field. The database offers open access to the data through specialized standard…
- 25top 1.3%
Towards the development of cost-effective point-of-care diagnostic tools for poverty-related infectious diseases in sub-Saharan Africa
Benedict Ofori, Seth Twum, Silas Nkansah Yeboah, Felix Ansah, Kwabena Amofa Nketia Sarpong
34 citationsOpen access (CC-BY)doi:10.7717/peerj.17198OpenAlex
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In this review, we examine the current landscape of point-of-care testing (POCT) diagnostic tools designed for poverty-related infectious diseases (PRIDs) in sub-Saharan Africa (sSA) while delineating key avenues for future advancements. Our analysis encompasses both established and emerging diagnostic methods for PRIDs, addressing the persistent challenges in POCT tool development and deployment, such as cost, accessibility, and reliability. We emphasize recent advancements in POCT diagnostic tools as well as platforms poised to enhance diagnostic testing in sSA. Recognizing the urgency for affordable and widely accessible POCT diagnostic tools to detect PRIDs in sSA, we advocate for a multidisciplinary approach. This approach integrates current and emerging diagnostic methods, explicitly addressing challenges hindering point-of-care (POC) tool development. Furthermore, it recognizes the profound impact of misdiagnosis on public and global health, emphasizing the need for effective tools. To facilitate the successful development and implementation of POCT diagnostic tools in sSA,…
- 26top 1.3%
Physical activity and self-efficacy in college students: the mediating role of grit and the moderating role of gender
Hongyan Yu, Tingfei Zhu, Jianing Tian, Gang Zhang, Peng Wang and 2 more
34 citationsOpen access (CC-BY)doi:10.7717/peerj.17422OpenAlex
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Background There is a paucity of knowledge concerning the psychological variables that serve to facilitate the connection between physical activity and self-efficacy, and the factors capable of moderating these pathways. This study aimed to examine the relationship between physical activity and self-efficacy among college students, with a focus on the mediating effect of grit and the moderating effect of gender. Methods This study recruited 3,228 undergraduate students from a university in Shanghai, China. They completed the General Self-Efficacy Scale, the Short Grit Scale, and the International Physical Activity Questionnaire. Statistical analysis was conducted using SPSS 26.0 and the Process v4.0 plugin. Results Physical activity had both a direct effect on self-efficacy (β = 0.07, 95% CI [0.04–0.11]) and an indirect effect through the two dimensions of grit: perseverance of effort (β = 0.06, 95% CI [0.04–0.07]) and consistency of interest (β = 0.03, 95% CI [0.02–0.04]). The mediating effect explained 53.27% of the total effect. Furthermore, gender moderated the relationship…
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Improvement of morphophysiological and anatomical attributes of plants under abiotic stress conditions using plant growth-promoting bacteria and safety treatments
Wasimah B. Al-Shammari, Kholoud Alshammery, Salwa Ahmed Lotfi, Haya Rashid Mohammed AlTamimi, Abeer Alshammari and 6 more
34 citationsOpen access (CC-BY)doi:10.7717/peerj.17286OpenAlex
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Drought and salinity are the major abiotic stress factors negatively affecting the morphophysiological, biochemical, and anatomical characteristics of numerous plant species worldwide. The detrimental effects of these environmental factors can be seen in leaf and stem anatomical structures including the decrease in thickness of cell walls, palisade and spongy tissue, phloem and xylem tissue. Also, the disintegration of grana staking, and an increase in the size of mitochondria were observed under salinity and drought conditions. Drought and salt stresses can significantly decrease plant height, number of leaves and branches, leaf area, fresh and dry weight, or plant relative water content (RWC%) and concentration of photosynthetic pigments. On the other hand, stress-induced lipid peroxidation and malondialdehyde (MDA) production, electrolyte leakage (EL%), and production of reactive oxygen species (ROS) can increase under salinity and drought conditions. Antioxidant defense systems such as catalase, peroxidase, glutathione reductase, ascorbic acid, and gamma-aminobutyric acid are…
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The role of NF-kappaB in the inflammatory processes related to dental caries, pulpitis, apical periodontitis, and periodontitis–a narrative review
Zhonglan Chen, Guang-Ping Lang, Xi Xu, Xinghua Liang, Yalin Han and 1 more
33 citationsOpen access (CC-BY-NC)doi:10.7717/peerj.17953OpenAlex
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Tooth-related inflammatory disorders, including caries, pulpitis, apical periodontitis (AP), and periodontitis (PD), are primarily caused by resident oral microorganisms. Although these dental inflammatory conditions are typically not life-threatening, neglecting them can result in significant complications and greatly reduce an individual's quality of life. Nuclear factor κB (NF-κB), a family formed by various combinations of Rel proteins, is extensively involved in inflammatory diseases and even cancer. This study reviews recent data on NF-κB signaling and its role in dental pulp stem cells (DPSCs), dental pulp fibroblasts (DPFs), odontoblasts, human periodontal ligament cells (hPDLCs), and various experimental animal models. The findings indicate that NF-κB signaling is abnormally activated in caries, pulpitis, AP, and PD, leading to changes in related cellular differentiation. Under specific conditions, NF-κB signaling occasionally interacts with other signaling pathways, affecting inflammation, bone metabolism, and tissue regeneration processes. In summary, data collected over…
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Comprehensive evaluation of drought stress on medicinal plants: a meta-analysis
Uğur Tan, Hatice Kübra Gören
33 citationsOpen access (CC-BY)doi:10.7717/peerj.17801OpenAlex
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Drought stress significantly affects plants by altering their physiological and biochemical processes, which can severely limit their growth and development. Similarly, drought has severe negative effects on medicinal plants, which are essential for healthcare. The effects are particularly significant in areas that rely mostly on traditional medicine, which might potentially jeopardize both global health and local economies. Understanding effects of droughts on medicinal plants is essential for developing strategies to enhance plant adaptability to drought stress, which is vital for sustaining agricultural productivity under changing climatic conditions. In this study, a meta-analysis was conducted on 27 studies examining various parameters such as plant yield, chlorophyll content, relative water content, essential oil content, essential oil yield, non-enzymatic antioxidants, enzymatic antioxidants, phenols, flavonoids, and proline content. The analysis explored the effects of drought across different stress conditions (control, moderate, and severe) to gain deeper insights into the…
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Exploring exercise-driven exerkines: unraveling the regulation of metabolism and inflammation
Nihong Zhou, Lijing Gong, Enming Zhang, Xintang Wang
33 citationsOpen access (CC-BY)doi:10.7717/peerj.17267OpenAlex
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Exercise has many beneficial effects that provide health and metabolic benefits. Signaling molecules are released from organs and tissues in response to exercise stimuli and are widely termed exerkines, which exert influence on a multitude of intricate multi-tissue processes, such as muscle, adipose tissue, pancreas, liver, cardiovascular tissue, kidney, and bone. For the metabolic effect, exerkines regulate the metabolic homeostasis of organisms by increasing glucose uptake and improving fat synthesis. For the anti-inflammatory effect, exerkines positively influence various chronic inflammation-related diseases, such as type 2 diabetes and atherosclerosis. This review highlights the prospective contribution of exerkines in regulating metabolism, augmenting the anti-inflammatory effects, and providing additional advantages associated with exercise. Moreover, a comprehensive overview and analysis of recent advancements are provided in this review, in addition to predicting future applications used as a potential biomarker or therapeutic target to benefit patients with chronic…
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Effectiveness of gamification in nursing degree education
Sebastián Sanz-Martos, Cristina Álvarez-García, Carmen Alvarez Nieto, Isabel M. López‐Medina, María Dolores López-Franco and 2 more
33 citationsOpen access (CC-BY)doi:10.7717/peerj.17167OpenAlex
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Background: Previous research in nursing has found favorable results from the use of teaching methodologies alternative to lectures. One of the complementary methodologies used for university teaching is gamification, or the inclusion of game elements, creating a dynamic learning environment that allows the acquisition of knowledge and the development of other skills necessary for nursing students. The purpose of this study was to evaluate the effect of a gamification session on student satisfaction and knowledge scores in nursing students in simulated laboratory practice. Methods: A pre-post quasi-experimental study was conducted with 122 students from the nursing degree program who participated in the research. The evaluation consisted of four sessions of three hours each. In two sessions, participants were trained through a vertical methodology, by means of theoretical training provided by teaching staff, and two hours of clinical simulation, where the students were able to practice the techniques on professional simulators. At the other two sessions, participants received an…
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Physical activity and sedentary behavior among school-going adolescents in low- and middle-income countries: insights from the global school-based health survey
Hui Li, Wenyu Zhang, Jin H Yan
32 citationsOpen access (CC-BY)doi:10.7717/peerj.17097OpenAlex
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Background The Global School Student Health Survey (GSHS) is being carried out by students in various countries across the globe to advance improved health programs for youth. However, in comparison to high-income countries, adolescents in low- and middle-income countries (LMICs) are generally at an early stage of understanding regarding physical activity (PA) and sedentary behavior (SB), often exhibiting low levels of PA and high levels of SB. Furthermore, there is limited evidence connecting PA and SB in school-going adolescents from LMICs. Purpose The objective of this review was to synthesize the available evidence regarding PA and sedentary behavior among school-going adolescents in LMICs using data from the GSHS. Method On March 18, 2023, a systematic literature search was performed across four electronic databases, namely Web of Science, PubMed, ScienceDirect, and EBSCO with n odaterestrictions. Studies were eligible if they: (1) utilization of data sourced from the Global Student-based Health Survey; (2) exploration of physical activity; (3) specific focus on adolescents;…
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Assessing the quality and reliability of YouTube videos as a source of information on inflammatory back pain
Mete Kara, Erkan Özduran, Müge Mercan Kara, Volkan Hancı, Yüksel Erkin
31 citationsOpen access (CC-BY)doi:10.7717/peerj.17215OpenAlex
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Background Inflammatory back pain is a chronic condition with localized pain, particularly in the axial spine and sacroiliac joints, that is associated with morning stiffness and improves with exercise. YouTube is the second most frequently used social media platform for accessing health information. This study sought to investigate the quality and reliability of YouTube videos on inflammatory back pain (IBP). Methods The study design was planned as cross-sectional. A search was conducted using the term “inflammatory back pain,” and the first 100 videos that met the inclusion criteria were selected on October 19, 2023. The data of the videos selected according to the inclusion and exclusion criteria in the study settings were examined. Videos with English language, with audiovisual content , had a duration >30 s, non-duplicated and primary content related to IBP were included in the study. A number of video parameters such as the number of likes, number of views, duration, and content categories were assessed. The videos were assessed for reliability using the Journal of the…
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Quercetin alleviates PM2.5-induced chronic lung injury in mice by targeting ferroptosis
Shibin Ding, Jinjin Jiang, Li Yang
31 citationsOpen access (CC-BY)doi:10.7717/peerj.16703OpenAlex
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Background PM2.5 is a well-known harmful air pollutant that can lead to acute exacerbation and aggravation of respiratory diseases. Although ferroptosis is involves in the pathological process of pulmonary disease, the potential mechanism of ferroptosis in PM2.5-caused lung inflammation and fibrosis need to be further clarified. Quercetin is a phenolic compound that can inhibit ferroptosis in various diseases. Hence, this study explores the role of ferroptosis in lung injury induced by PM2.5 in order to further elucidate the beneficial effect of quercetin and its underlying mechanism. Methods C57BL/6J mice were treated with either saline or PM2.5 by intratracheal instillation 20 times (once every two days). Additionally, PM2.5-treated mice were supplemented with two doses of quercetin. Lung injury, lipid peroxidation, iron content and ferroptosis marker protein expression and the Nrf2 signaling pathway were evaluated. In vitro, cell experiments were applied to verify the mechanisms underlying the links between Nrf2 signaling pathway activation and ferroptosis as well as between…
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The impact of doctor–patient communication on medication adherence and blood pressure control in patients with hypertension: a systematic review
Jianwei Zeng, Yuqiang Gao, Chen Hou, Tao Liu
30 citationsOpen access (CC-BY)doi:10.7717/peerj.18527OpenAlex
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Background: This systematic review aims to present existing evidence concerning the effects of doctor-patient communication on medication adherence and blood pressure control in hypertensive patients. Methods: Two researchers independently conducted comprehensive searches of five databases and screened relevant studies published from the inception of these databases up to July 21, 2024. The titles, abstracts, and full texts of all the retrieved articles subsequently underwent rigorous duplicate screening, according to predefined inclusion and exclusion criteria. We then synthesized the findings in a narrative format of the included studies. Finally, two researchers independently assessed study quality. Results: Eighteen observational studies encompassing 21,542 patients and seven randomized controlled trials with 2,804 patients were included in the systematic review. Diverse approaches were employed for evaluating doctor-patient communication and medication adherence in these studies, with identified themes including communication content and communication skills. Various facets of…
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Cognitive expertise in esport experts: a three-level model meta-analysis
Haofei Miao, Hao He, Xianyun Hou, Jinghui Wang, Lizhong Chi
30 citationsOpen access (CC-BY)doi:10.7717/peerj.17857OpenAlex
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Objectives The cognitive expertise of experts has been an intriguing theme; there has been rapid growth in cognitive research related to esports. Given the close association between esports activities and cognition, esports holds promise in offering new perspectives for understanding cognitive expertise. This meta-analysis aims at quantitatively delineating the cognitive disparities between esports experts and amateurs. Methods The expert group comprised professional video game players and high-ranking players (top 1%), while amateurs were assigned to the control group. Research studies published between January 2000 and December 2023 were systematically searched in databases. A three-level model with cluster-robust variance estimation was used to calculate the overall effect size. The moderating variables included professional level, cognitive abilities, dependent variable type, game genre, gender and age. Results A total of 15 studies containing 142 effect sizes and 1085 participants were included in this meta-analysis. The results indicated that, compared to amateurs, video game…
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Nuclear eDNA metabarcoding primers for anthozoan coral biodiversity assessment
Luke J. McCartin, Emma Saso, Samuel A. Vohsen, Nicole C. Pittoors, Penny Demetriades and 3 more
29 citationsOpen access (CC-BY-NC)doi:10.7717/peerj.18607OpenAlex
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Abstract The distributions of anthozoan corals are under-characterized due to their wide bathymetric range, occurrences in remote locales, and difficulties of identification from morphology alone. Environmental DNA (eDNA) sequencing promises to be a non-invasive strategy to complement conventional approaches for mapping and monitoring coral communities. Primers for eDNA meta-barcoding have been designed to amplify nuclear and mitochondrial DNA barcodes in shallow scleractinians and mitochondrial MutS in deep-sea octocorals. However, a comprehensive method for eDNA meta-barcoding from all anthozoan corals, including black corals, has not been developed. We leveraged a sequence database of global coral collections, from shallow water to the deep sea, to design new PCR primers for coral eDNA sequencing that target the 28S rRNA gene. We tested the performance of these primers by amplifying and sequencing eDNA from water samples collected in the Gulf of Mexico near mesophotic and deep-sea corals that were also imaged, sampled, and sequenced. Sequencing libraries produced using the…
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Evaluation of in vitro osteoblast and osteoclast differentiation from stem cell: a systematic review of morphological assays and staining techniques
Shahrul Hisham Zainal Ariffin, Rohaya Megat Abdul Wahab, Muhammad Abdul Razak, Muhammad Dain Yazid, Muhammad Ashraf Shahidan and 2 more
29 citationsOpen access (CC-BY)doi:10.7717/peerj.17790OpenAlex
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Background: Understanding human stem cell differentiation into osteoblasts and osteoclasts is crucial for bone regeneration and disease modeling. Numerous morphological techniques have been employed to assess this differentiation, but a comprehensive review of their application and effectiveness is lacking. Methods: Guided by the PRISMA framework, we conducted a rigorous search through the PubMed, Web of Science and Scopus databases, analyzing 254 articles. Each article was scrutinized against pre-defined inclusion criteria, yielding a refined selection of 14 studies worthy of in-depth analysis. Results: The trends in using morphological approaches were identified for analyzing osteoblast and osteoclast differentiation. The three most used techniques for osteoblasts were Alizarin Red S (mineralization; six articles), von Kossa (mineralization; three articles) and alkaline phosphatase (ALP; two articles) followed by one article on Giemsa staining (cell morphology) and finally immunochemistry (three articles involved Vinculin, F-actin and Col1 biomarkers). For osteoclasts,…
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deepAMPNet: a novel antimicrobial peptide predictor employing AlphaFold2 predicted structures and a bi-directional long short-term memory protein language model
Fei Zhao, Junhui Qiu, Dongyou Xiang, Pengrui Jiao, Yu Cao and 4 more
29 citationsOpen access (CC-BY)doi:10.7717/peerj.17729OpenAlex
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Background: Global public health is seriously threatened by the escalating issue of antimicrobial resistance (AMR). Antimicrobial peptides (AMPs), pivotal components of the innate immune system, have emerged as a potent solution to AMR due to their therapeutic potential. Employing computational methodologies for the prompt recognition of these antimicrobial peptides indeed unlocks fresh perspectives, thereby potentially revolutionizing antimicrobial drug development. Methods: In this study, we have developed a model named as deepAMPNet. This model, which leverages graph neural networks, excels at the swift identification of AMPs. It employs structures of antimicrobial peptides predicted by AlphaFold2, encodes residue-level features through a bi-directional long short-term memory (Bi-LSTM) protein language model, and constructs adjacency matrices anchored on amino acids' contact maps. Results: In a comparative study with other state-of-the-art AMP predictors on two external independent test datasets, deepAMPNet outperformed in accuracy. Furthermore, in terms of commonly accepted…
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Microbiota based personalized nutrition improves hyperglycaemia and hypertension parameters and reduces inflammation: a prospective, open label, controlled, randomized, comparative, proof of concept study
Gopalakrishna Kallapura, Anthony Surya Prakash, Kumar Sankaran, Prabhath Manjappa, Prayagraj Chaudhary and 2 more
29 citationsOpen access (CC-BY)doi:10.7717/peerj.17583OpenAlex
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Abstract Recent studies suggest that gut microbiota composition, abundance and diversity can influence many chronic diseases such as type 2 diabetes. Modulating gut microbiota through targeted nutrition can provide beneficial effects leading to the concept of personalized nutrition for health improvement. In this prospective clinical trial, we evaluated the impact of a microbiome-based targeted personalized diet on hyperglycaemic and hyperlipidaemic individuals. Specifically, BugSpeaks ® - a microbiome profile test that profiles microbiota using next generation sequencing and provides personalized nutritional recommendation based on the individual microbiota profile was evaluated. The test arm [microbiome-based nutrition] showed a statistically significant decrease in HbA1c level [from 8.30 ± 1.12 to 6.67 ± 0.89, p<0.001] after 90 days. The test arm, also showed a 5% decline in the systolic pressure whereas the control arm showed a 7% increase. Incidentally, a sub-cohort of the test arm of patients with >130mm Hg systolic pressure showed a statistically significant decrease of…
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AMMI and GGE biplot analysis for genotype × environment interactions affecting the yield and quality characteristics of sugar beet
Xinwang Dang, Xiaohang Hu, Ya-Huai Ma, Yanli Li, Wenliang Kan and 1 more
28 citationsOpen access (CC-BY)doi:10.7717/peerj.16882OpenAlex
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Sugar beet, an important sugar crop, contributes significantly to the world's sugar production. However, genotype-environment interactions (GEI) often affect the quality characteristics of sugar beet. Hence, understanding the effects of GEI on sugar beet quality can aid in identifying high-quality genotypes that can adapt to different environments. Traditional variance analysis can only be used to examine the yield of a variety and not its specific adaptability to specific conditions. Therefore, more comprehensive analytical methods are required to evaluate the characteristics of the variety under specific environments. Additive main effects and multiplicative interaction (AMMI) and genotype main effect and genotype × environment interaction (GGE) biplot models can be employed to comprehensively evaluate different varieties and address the drawbacks associated with a single evaluation method. Moreover, these models also allow us to explore new varieties more objectively and comprehensively. In this study, the adaptability and stability of 16 sugar beet varieties, in terms of yield…
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3D bioprinting in bioremediation: a comprehensive review of principles, applications, and future directions
Abraham Samuel Finny
28 citationsOpen access (CC-BY)doi:10.7717/peerj.16897OpenAlex
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Bioremediation is experiencing a paradigm shift by integrating three-dimensional (3D) bioprinting. This transformative approach augments the precision and versatility of engineering with the functional capabilities of material science to create environmental restoration strategies. This comprehensive review elucidates the foundational principles of 3D bioprinting technology for bioremediation, its current applications in bioremediation, and the prospective avenues for future research and technological evolution, emphasizing the intersection of additive manufacturing, functionalized biosystems, and environmental remediation; this review delineates how 3D bioprinting can tailor bioremediation apparatus to maximize pollutant degradation and removal. Innovations in biofabrication have yielded bio-based and biodegradable materials conducive to microbial proliferation and pollutant sequestration, thereby addressing contamination and adhering to sustainability precepts. The review presents an in-depth analysis of the application of 3D bioprinted constructs in enhancing bioremediation…
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Content quality and reliablity of YouTube™ videos as a source of information about good oral hygiene practices in adults
Gizem İnce Kuka, Hare Gürsoy
27 citationsOpen access (CC-BY)doi:10.7717/peerj.18183OpenAlex
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Background Good oral hygiene is crucial for preventing dental caries and periodontal diseases. However, proper and regular application of oral hygiene practices requires adequate knowledge. In recent years, the internet has become one of the most popular places to find health-related information, necessitating studies that analyze the quality of the content available online. The purpose of the present study was to analyze the content quality and reliability of YouTube™ videos on the topic of adult oral hygiene practices and to guide oral health care professionals who use this platform for patient education. Methods A YouTube™ search was performed of the most frequent search term, ‘dental hygiene’. A total of 150 videos were screened, and 51 were included in the final study. The characteristics, sources, and content of the videos were analyzed using the Global Quality Score (GQS) and DISCERN reliability indices. The IBM SPSS 25 program was used for statistical analyses. Results Most of the included videos were uploaded by oral health care professionals (63%). GQS revealed only 17.6%…
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Comparative analysis of nutrient composition and antioxidant activity in three dragon fruit cultivars
Afsana Yasmin, Mousumi Jahan Sumi, Keya Akter, Rakibul Hasan Md. Rabbi, Hesham S. Almoallim and 3 more
27 citationsOpen access (CC-BY)doi:10.7717/peerj.17719OpenAlex
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Dragon fruit has significant economic value in many countries due to has excellent nutritional content, health advantages, and adaptability to different climates, making it an important crop in the global fruit industry. This study aimed to gather comprehensive nutritional data on three dragon fruit cultivars by analysing the levels of micronutrients, fibre, carbohydrates, antioxidants, vitamins, and minerals in their pulps. Uniform dragon fruit samples underwent thorough analysis for proximate composition, mineral content, pigments, antioxidants, and vitamin C, with statistical methods used to assess significant differences among the parameters studied. The proximate composition analysis revealed significant differences among the three dragon fruit cultivars. Among the proximate components, protein (0.40 ± 0.02 g/100 g), moisture (91.33 ± 0.88%), crude fibre (0.32 ± 0.07 g/100 g), and ash (1.27 ± 0.09 g/100 g) were more abundant in Hylocereus costaricensis than in Hylocereus undatus and Hylocereus megalanthus. On the other hand, Hylocereus undatus had higher carbohydrate (17.02 ±…
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Ferrostatin-1 inhibits fibroblast fibrosis in keloid by inhibiting ferroptosis
Liu Yang, Xiuli Li, Yanli Wang
27 citationsOpen access (CC-BY)doi:10.7717/peerj.17551OpenAlex
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Background: Keloid is a chronic proliferative fibrotic disease caused by abnormal fibroblasts proliferation and excessive extracellular matrix (ECM) production. Numerous fibrotic disorders are significantly influenced by ferroptosis, and targeting ferroptosis can effectively mitigate fibrosis development. This study aimed to investigate the role and mechanism of ferroptosis in keloid development. Methods: Keloid tissues from keloid patients and normal skin tissues from healthy controls were collected. Iron content, lipid peroxidation (LPO) level, and the mRNA and protein expression of ferroptosis-related genes including solute carrier family 7 member 11 (SLC7A11), glutathione peroxidase 4 (GPX4), transferrin receptor (TFRC), and nuclear factor erythroid 2-related factor 2 (Nrf2) were determined. Mitochondrial morphology was observed using transmission electron microscopy (TEM). Keloid fibroblasts (KFs) were isolated from keloid tissues, and treated with ferroptosis inhibitor ferrostatin-1 (fer-1) or ferroptosis activator erastin. Iron content, ferroptosis-related marker levels, LPO…
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No benefit of higher protein dosing in critically ill patients: a systematic review and meta-analysis of randomized controlled trials
Yonggen Qin, Jian Huang, Xiaofeng Ping, Hui Zheng, Kai Zhang and 2 more
27 citationsOpen access (CC-BY)doi:10.7717/peerj.17433OpenAlex
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Purpose The optimal range of protein dosage and effect of high-dose protein on critically ill patients remain controversial. We conducted a meta-analysis to compare higher and lower doses of protein supplementation for nutritional support in critically ill patients. Methods We searched the PubMed, Embase, Scopus, and Cochrane Library databases for randomized controlled trials that compared higher (≥1.2 g/kg per day) versus lower (<1.2 g/kg per day) doses of protein supplementation among critically ill adult patients. This search spanned from the inception of relevant databases to November 20, 2023. Our primary endpoint of interest was overall mortality, while secondary endpoints included length of stay in the intensive care unit, length of hospital stay, duration of mechanical ventilation, and incidence of acute kidney injury. Results Seventeen studies including 2,965 critically ill patients were included in our meta-analysis. The pooled analyses showed no significant difference in overall mortality (RR 1.03, 95%CI [0.92–1.15], P = 0.65, I2 = 0%), length of intensive care unit stay…
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The regulation role of calcium channels in mammalian sperm function: a narrative review with a focus on humans and mice
Yebin Yang, Yang Liu, Xiao-Qun Han, Kuaiying Wu, Guang‐Quan Mei and 2 more
26 citationsOpen access (CC-BY)doi:10.7717/peerj.18429OpenAlex
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Mammalian sperm are characterized as specialized cells, as their transcriptional and translational processes are largely inactive. Emerging researches indicate that Ca2+ serves as a crucial second messenger in the modulation of various sperm physiological processes, such as capacitation, hyperactivation, and the acrosome reaction. Specifically, sperm-specific calcium channels, including CatSper, voltage-gated calcium channels (VGCCs), store-operated calcium channels (SOCCs), and cyclic nucleotide-gated (CNG) channels, are implicated in the regulation of calcium signaling in mammalian sperm. Calcium stores located in the sperm acrosomes, along with the IP3 receptors in the neck of the redundant nuclear envelope and the mitochondria in the tail, play significant roles in modulating intracellular Ca2+ levels in sperm. However, the functions and mechanisms of these calcium channels in modulating mammalian sperm physiological functions have not yet been well elucidated. Therefore, by focusing on humans and mice, this study aims to provide a comprehensive review of the current…
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The effect of physical exercise on depression among college students: a systematic review and meta-analysis
Haopeng Zhang, Shahabuddin Hashim, Dandan Huang, Bowen Zhang
26 citationsOpen access (CC-BY)doi:10.7717/peerj.18111OpenAlex
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Objective The goal of the present research was to evaluate the effectiveness of physical exercise intervention in enhancing psychological well-being and decreasing symptoms of depression among college students, adopting a systematic review and meta-analysis. Methodology The study was performed by searching four databases (PubMed, Embase, Web of Science, and the Cochrane Library) to determine randomized controlled trials (RCTs) exploring the impacts of physical exercise therapies among college students with symptoms of depression. The sequential execution of a meta-analyses, subgroup analyses, and publication bias analyses was accomplished utilizing the software package RevMan version 5.3. Results There were eight articles included. This research demonstrated a significant impact (d = −0.75, P < 0.05), indicating that physical exercise has a substantial impact on decreasing or mitigating depression. The subgroup analyses revealed that interventions involving physical exercise workouts lasting 12 weeks or longer (d = −0.93, P < 0.05), with physical exercise sessions lasting between 30…
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Effects of physical activity on anxiety levels in college students: mediating role of emotion regulation
Xinxin Sheng, Xili Wen, Jiangshan Liu, Xiuxiu Zhou, Kai Li
26 citationsOpen access (CC-BY)doi:10.7717/peerj.17961OpenAlex
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Objectives To explore the effects of physical activity on anxiety levels in college students, as well as to examine the mediating role of emotion regulation. Methods A convenience sample of 1,721 college students from Shanghai, Jiangsu, Shandong, Guangxi, and Hunan was used to conduct an evaluation and a survey through the Physical Activity Rating Scale (PARS-3), the Anxiety Self-Rating Scale (SAS), and the Emotion Regulation Scale (ERQ). Results College students’ anxiety level, cognitive reappraisal, and expression inhibition scores were (44.72 ± 10.37), (30.16 ± 6.51), and (16.96 ± 4.99), respectively. There were significant grade and physical activity level differences in anxiety levels and cognitive reappraisal, and significant gender and physical activity level differences in expression inhibition among college students. Process model 4 mediated effect regression analysis showed that physical activity had a significant positive effect on cognitive reappraisal (R2 = 0.14, β = 0.04, P < 0.001), and physical activity did not have a significant expression inhibition effect (R2 =…
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Bacteriogenic synthesis of morphologically diverse silver nanoparticles and their assessment for methyl orange dye removal and antimicrobial activity
Bhakti K. Patel, Virendra Kumar Yadav, Reema Desai, Shreya Patel, Abdelfattah Amari and 7 more
26 citationsOpen access (CC-BY)doi:10.7717/peerj.17328OpenAlex
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Nanotechnology and nanoparticles have gained massive attention in the scientific community in recent years due to their valuable properties. Among various AgNPs synthesis methods, microbial approaches offer distinct advantages in terms of cost-effectiveness, biocompatibility, and eco-friendliness. In the present research work, investigators have synthesized three different types of silver nanoparticles (AgNPs), namely AgNPs-K, AgNPs-M, and AgNPs-E, by using Klebsiella pneumoniae (MBC34), Micrococcus luteus (MBC23), and Enterobacter aerogenes (MBX6), respectively. The morphological, chemical, and elemental features of the synthesized AgNPs were analyzed by using UV-Vis spectroscopy (UV-Vis), Fourier transform-infrared spectroscopy (FTIR), X-ray diffraction (XRD), field emission scanning electron microscope (FESEM) and energy-dispersive spectroscopy (EDX). UV-Vis absorbance peaks were obtained at 475, 428, and 503 nm for AgNPs-K, AgNPs-M, and AgNPs-E, respectively. The XRD analysis confirmed the crystalline nature of the synthesized AgNPs, having peaks at 26.2°, 32.1°, and 47.2°. At…
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Evaluating environmental DNA detection of a rare fish in turbid water using field and experimental approaches
Ann E. Holmes, Melinda R. Baerwald, Jeff A. Rodzen, Brian M. Schreier, Brian Mahardja and 1 more
26 citationsOpen access (CC-BY)doi:10.7717/peerj.16453OpenAlex
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), a critically endangered estuarine fish associated with turbid water. eDNA sampling in the field was first paired with a trawl survey. Species-specific detection using a Taqman qPCR assay showed concordance between the methods, but a weak eDNA signal. Informed by the results of field sampling, an experiment was designed to assess how turbidity and filtration methods influence detection of a rare target. Water from non-turbid (5 NTU) and turbid (50 NTU) estuarine sites was spiked with small volumes (0.5 and 1 mL) of water from a delta smelt tank to generate low eDNA concentrations. Samples were filtered using four filter types: cartridge filters (pore size 0.45 μm) and 47 mm filters (glass fiber, pore size 1.6 μm and polycarbonate, pore sizes 5 and 10 μm). Prefiltration was also tested as an addition to the filtration protocol for turbid water samples. eDNA copy numbers were analyzed using a censored data method for qPCR data. The assay limits and lack of PCR inhibition indicated an optimized assay. Glass fiber filters yielded the highest detection rates and eDNA copies in…
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Trends and challenges in organoid modeling and expansion with pluripotent stem cells and somatic tissue
Jian-Yun Ge, Yun Wang, Qilin Li, Fan-Kai Liu, Quan-Kai Lei and 1 more
25 citationsOpen access (CC-BY)doi:10.7717/peerj.18422OpenAlex
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The increasing demand for disease modeling, preclinical drug testing, and long waiting lists for alternative organ substitutes has posed significant challenges to current limitations in organoid technology. Consequently, organoid technology has emerged as a cutting-edge tool capable of accurately recapitulating the complexity of actual organs in physiology and functionality. To bridge the gaps between basic research and pharmaceutical as well as clinical applications, efforts have been made to develop organoids from tissue-derived stem cells or pluripotent stem cells. These developments include optimizing starting cells, refining culture systems, and introducing genetic modifications. With the rapid development of organoid technology, organoid composition has evolved from single-cell to multi-cell types, enhancing their level of biomimicry. Tissue structure has become more refined, and core challenges like vascularization are being addressed actively. These improvements are expected to pave the way for the construction of organoid atlases, automated large-scale cultivation, and…
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Key regulators of vascular calcification in chronic kidney disease: Hyperphosphatemia, BMP2, and RUNX2
Xin‐hua Liang, Yankun Li, Peng Wang, Jialu Liu
25 citationsOpen access (CC-BY)doi:10.7717/peerj.18063OpenAlex
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Vascular calcification is quite common in patients with end-stage chronic kidney disease and is a major trigger for cardiovascular complications in these patients. These complications significantly impact the survival rate and long-term prognosis of individuals with chronic kidney disease. Numerous studies have demonstrated that the development of vascular calcification involves various pathophysiological mechanisms, with the osteogenic transdifferentiation of vascular smooth muscle cells (VSMCs) being of utmost importance. High phosphate levels, bone morphogenetic protein 2 (BMP2), and runt-related transcription factor 2 (RUNX2) play crucial roles in the osteogenic transdifferentiation process of VSMCs. This article primarily reviews the molecular mechanisms by which high phosphate, BMP2, and RUNX2 regulate vascular calcification secondary to chronic kidney disease, and discusses the complex interactions among these factors and their impact on the progression of vascular calcification. The insights provided here aim to offer new perspectives for future research on the phenotypic…
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Soil organic carbon estimation using remote sensing data-driven machine learning
Qi Chen, Yiting Wang, Xicun Zhu
24 citationsOpen access (CC-BY)doi:10.7717/peerj.17836OpenAlex
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Soil organic carbon (SOC) is a crucial component of the global carbon cycle, playing a significant role in ecosystem health and carbon balance. In this study, we focused on assessing the surface SOC content in Shandong Province based on land use types, and explored its spatial distribution pattern and influencing factors. Machine learning methods including random forest (RF), extreme gradient boosting (XGBoost), and support vector machine (SVM) were employed to estimate the surface SOC content in Shandong Province using diverse data sources like sample data, remote sensing data, socio-economic data, soil texture data, topographic data, and meteorological data. The results revealed that the SOC content in Shandong Province was 8.78 g/kg, exhibiting significant variation across different regions. Comparing the model error and correlation coefficient, the XGBoost model showed the highest prediction accuracy, with a coefficient of determination (R²) of 0.7548, root mean square error (RMSE) of 7.6792, and relative percentage difference (RPD) of 1.1311. Elevation and Clay exhibited the…
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Insects’ perception and behavioral responses to plant semiochemicals
Diriba Fufa Serdo
24 citationsOpen access (CC-BY)doi:10.7717/peerj.17735OpenAlex
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Insect-plant interactions are shaped by the exchange of chemical cues called semiochemicals, which play a vital role in communication between organisms. Plants release a variety of volatile organic compounds in response to environmental cues, such as herbivore attacks. These compounds play a crucial role in mediating the interactions between plants and insects. This review provides an in-depth analysis of plant semiochemicals, encompassing their classification, current understanding of extraction, identification, and characterization using various analytical techniques, including gas chromatography-mass spectrometry (GC-MS), liquid chromatography-mass spectrometry (LC-MS), nuclear magnetic resonance (NMR) spectroscopy, and infrared (IR) spectroscopy. The article also delves into the manner in which insects perceive and respond to plant semiochemicals, as well as the impact of environmental factors on plant odor emission and insect orientation. Furthermore, it explores the underlying mechanisms by which insects perceive and interpret these chemical cues, and how this impacts their…
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Gut microbiome-immune interactions and their role in rheumatoid arthritis development
Madiyar Nurgaziyev, Argul Issilbayeva, Rakhmetkazhi I. Bersimbaev, Oralbek Z. Ilderbayev, E. B. Vinogradova and 13 more
24 citationsOpen access (CC-BY-NC)doi:10.7717/peerj.17477OpenAlex
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Objective The primary objective is to study the impact of gut microbiota and their interactions with diverse immunological markers on the development of rheumatoid arthritis. Methods This study was performed in Astana, Kazakhstan, and included 77 Kazakh female patients older than 18 years, who met the American College of Rheumatology 2010 classification criteria for rheumatoid arthritis (RA), and 113 healthy controls. The DNA was extracted from fecal samples obtained from all study participants for subsequent sequencing at the 16S rRNA gene V1-V3 locus, facilitating the analysis of the gut microbiome. The Multiplex immunoassay was employed to measure the concentrations of inflammatory cytokines, chemokines, and immunoglobulins in both fecal and plasma samples. Results Our taxonomic analysis revealed significant differences in the composition of the gut microbiota between the healthy control cohort and the cohort with rheumatoid arthritis RA. Alpha diversity was significantly lower in the RA group. Lachnospiraceae were the most abundant taxon and found to be crucial, showing…
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Structured peer review: pilot results from 23 Elsevier journals
Mario Malički, Bahar Mehmani
23 citationsOpen access (CC-BY)doi:10.7717/peerj.17514OpenAlex
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ABSTRACT Background Reviewers rarely comment on the same aspects of a manuscript, making it difficult to properly assess manuscripts’ quality and the quality of the peer review process. It was the goal of this pilot study to evaluate structured peer review implementation by: 1) exploring if and how reviewers answered structured peer review questions, 2) analysing reviewer agreement, 3) comparing that agreement to agreement before implementation of structured peer review, and 4) further enhancing the piloted set of structured peer review questions. Methods Structured peer review consisting of 9 questions was piloted in August 2022 in 220 Elsevier journals. We randomly selected 10% of these journals across all fields and IF quartiles and included manuscripts that in the first 2 months of the pilot received 2 reviewer reports, leaving us with 107 manuscripts belonging to 23 journals. Eight questions had open ended fields, while the ninth question (on language editing) had only a yes/no option. Reviews could also leave Comments-to-Author and Comments-to-Editor . Answers were…
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Use of different dry materials to control the moisture in a black soldier fly (Hermetia illucens) rearing substrate
Parichart Laksanawimol, Pritsana Anukun, Anchana Thancharoen
23 citationsOpen access (CC-BY)doi:10.7717/peerj.17129OpenAlex
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Background: Controlling the substrate moisture is a significant challenge in black soldier fly (BSF) farming. Many substrates have a high moisture content, which results in a low BSF biomass and a high mortality. One potential solution involves incorporating dry substrates into the food mix to mitigate the excessive moisture. However, little information about the types and quantities of dry substrates is available. Methods: Six different dry materials-rice husk (RH), rice bran (RB), rice husk ash (RHA), coconut coir dust (CC), rubberwood sawdust (RSD), and spent coffee grounds (SCGs)-were evaluated by combining with pure minced mixed vegetables in varying proportions (0%, 5%, 10%, 15%, 25%, and 50% by weight). This study encompassed both small-scale and medium-scale experiments to comprehensively assess the effects of the addition of each of these different dry substrates and their quantities on aspects of the development of BSF, such as BSF biomass, larval duration, mortality rates, adult sex ratio, and the moisture removal efficiency of each substrate mixture. Results: Each dry…
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In silico and in vitro evaluation of the anti-virulence potential of patuletin, a natural methoxy flavone, against Pseudomonas aeruginosa
Ahmed M. Metwaly, Moustafa M. Saleh, Aisha A. Alsfouk, Ibrahim M. Ibrahim, Muhamad Abd‐Elraouf and 3 more
23 citationsOpen access (CC-BY)doi:10.7717/peerj.16826OpenAlex
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This study aimed to investigate the potential of patuletin, a rare natural flavonoid, as a virulence and LasR inhibitor against Pseudomonas aeruginosa. Various computational studies were utilized to explore the binding of Patuletin and LasR at a molecular level. Molecular docking revealed that Patuletin strongly interacted with the active pocket of LasR, with a high binding affinity value of −20.96 kcal/mol. Further molecular dynamics simulations, molecular mechanics generalized Born surface area (MM/GBSA), protein-ligand interaction profile (PLIP), and essential dynamics analyses confirmed the stability of the patuletin-LasR complex, and no significant structural changes were observed in the LasR protein upon binding. Key amino acids involved in binding were identified, along with a free energy value of −26.9 kcal/mol. In vitro assays were performed to assess patuletin’s effects on P. aeruginosa. At a sub-inhibitory concentration (1/4 MIC), patuletin significantly reduced biofilm formation by 48% and 42%, decreased pyocyanin production by 24% and 14%, and decreased proteolytic…
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Understanding park visitors’ soundscape perception using subjective and objective measurement
Lauren A. Ferguson, Brendan Derrick Taff, Justine I. Blanford, Daniel J. Mennitt, Andrew J. Mowen and 6 more
23 citationsOpen access (CC-BY)doi:10.7717/peerj.16592OpenAlex
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Environmental noise knows no boundaries, affecting even protected areas. Noise pollution, originating from both external and internal sources, imposes costs on these areas. It is associated with adverse health effects, while natural sounds contribute to cognitive and emotional improvements as ecosystem services. When it comes to parks, individual visitors hold unique perceptions of soundscapes, which can be shaped by various factors such as their motivations for visiting, personal norms, attitudes towards specific sounds, and expectations. In this study, we utilized linear models and geospatial data to evaluate how visitors' personal norms and attitudes, the park's acoustic environment, visitor counts, and the acoustic environment of visitors' neighborhoods influenced their perception of soundscapes at Muir Woods National Monument. Our findings indicate that visitors' subjective experiences had a greater impact on their perception of the park's soundscape compared to purely acoustic factors like sound level of the park itself. Specifically, we found that motivations to hear natural…
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Genome-wide association studies for earliness, MYMIV resistance, and other associated traits in mungbean (Vigna radiata L. Wilczek) using genotyping by sequencing approach
Manju Kohli, Hina Bansal, GYAN PRAKASH MISHRA, Harsh Kumar Dikshit, Shashidhar Bayappa Reddappa and 8 more
23 citationsOpen access (CC-BY)doi:10.7717/peerj.16653OpenAlex
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Yellow mosaic disease (YMD) remains a major constraint in mungbean (Vigna radiata (L.)) production; while short-duration genotypes offer multiple crop cycles per year and help in escaping terminal heat stress, especially during summer cultivation. A comprehensive genotyping by sequencing (GBS)-based genome-wide association studies (GWAS) analysis was conducted using 132 diverse mungbean genotypes for traits like flowering time, YMD resistance, soil plant analysis development (SPAD) value, trichome density, and leaf area. The frequency distribution revealed a wide range of values for all the traits. GBS studies identified 31,953 high-quality single nucleotide polymorphism (SNPs) across all 11 mungbean chromosomes and were used for GWAS. Structure analysis revealed the presence of two genetically distinct populations based on ΔK. The linkage disequilibrium (LD) varied throughout the chromosomes and at r2 = 0.2, the mean LD decay was estimated as 39.59 kb. Two statistical models, mixed linear model (MLM) and Bayesian-information and Linkage-disequilibrium Iteratively Nested Keyway…
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Terrestrial wildlife as indicators of microplastic pollution in western Thailand
Jiraporn Teampanpong, Prateep Duengkae
22 citationsOpen access (CC-BY)doi:10.7717/peerj.17384OpenAlex
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Plastic pollution in terrestrial wildlife represents a new conservation challenge, with research in this area, especially within protected areas (PAs), being scant. This study documents the accumulation of microplastics (MPs) in terrestrial wildlife both inside and outside PAs in western Thailand. Carcasses of road-killed vertebrates in good condition, as well as live tadpoles, were collected to examine their exposure to plastic pollution. The digestive tracts of the vertebrate carcasses and the entire bodies of tadpoles were analyzed for MPs, which were identified if they measured over 50 µm. A total of 136 individuals from 48 vertebrate species were examined. The sample comprised snakes (44.12%), birds (11.03%), lizards (5.15%), tadpoles (32.25%), amphibians (5.88%), and mammals (1.47%). In total, 387 MPs were found in 44 species (91.67%), with an average occurrence of 3.25 ± 3.63 MPs per individual or 0.05 ± 0.08 MPs per gram of body weight. The quantities of MPs significantly varied among the animal groups, both in terms of number per individual (p < 0.05) and number per gram of…
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Does it pay to pay? A comparison of the benefits of open-access publishing across various sub-fields in biology
Amanda D. Clark, Tanner C. Myers, Todd D. Steury, Ali Krzton, Julio Alejandro Yanes and 10 more
22 citationsOpen access (CC-BY)doi:10.7717/peerj.16824OpenAlex
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Abstract Authors are often faced with the decision of whether to maximize impact or minimize costs when publishing the results of their research. For example, to potentially improve impact via increased accessibility, many subscription-based journals now offer the option of paying a fee to publish open access (i.e., hybrid journals), but this solution excludes authors who lack the capacity to pay to make their research accessible. Here, we tested if paying to publish open access in a subscriptionbased journal benefited authors by conferring more citations relative to closed access articles. We identified 146,415 articles published in 152 hybrid journals in the field of biology from 2013-2018 to compare the number of citations between various types of open access and closed access articles. In a simple generalized linear model analysis of our full dataset, we found that publishing open access in hybrid journals that offer the option confers an average citation advantage to authors of 17.8 citations compared to closed access articles in similar journals. After taking into account the…
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Neurological phenotypes and treatment outcomes in Eagle syndrome: systematic review and meta-analysis
Melika Hassani, Elisabeth Waldemar Grønlund, Simon Sander Albrechtsen, Daniel Kondziella
21 citationsOpen access (CC-BY)doi:10.7717/peerj.17423OpenAlex
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Background Eagle syndrome is caused by an elongated styloid process affecting carotid arteries and cranial nerves. Pain, dysphagia, tinnitus, paresthesia (classic subtype), and neurovascular events (vascular subtype) may be triggered by head movements or arise spontaneously. However, Eagle syndrome remains underappreciated in the neurological community. We aimed to determine the most common neurological and non-neurological clinical presentations in patients with Eagle syndrome and to assess the clinical outcome post-surgical resection in comparison to non-surgical therapies. Methodology We conducted a systematic review of patient-level data on adults with Eagle syndrome, following PRISMA guidelines. We extracted data on demographics, presenting symptoms, neurological deficits, radiological findings, and treatments, including outcomes and complications, from studies in multiple indexing databases published between 2000 and 2023. The study protocol is registered with PROSPERO. Results In total, 285 studies met inclusion criteria, including 497 patients with Eagle syndrome (mean age…
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Shoulder mobility and strength impairments in patients with rotator cuff related shoulder pain: a systematic review and meta analysis
Daniel Manoso-Hernando, Javier Bailón-Cerezo, Santiago Angulo, Álvaro Reina‐Varona, Ignacio Elizagaray-García and 1 more
21 citationsOpen access (CC-BY)doi:10.7717/peerj.17604OpenAlex
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Background The methods previously proposed in the literature to assess patients with rotator cuff related shoulder pain, based on special orthopedic tests to precisely identify the structure causing the shoulder symptoms have been recently challenged. This opens the possibility of a different way of physical examination. Objective To analyze the differences in shoulder range of motion, strength and thoracic kyphosis between rotator cuff related shoulder pain patients and an asymptomatic group. Method The protocol of the present research was registered in the International Prospective Register of Systematic Review (PROSPERO) (registration number CRD42021258924). Database search of observational studies was conducted in MEDLINE, EMBASE, WOS and CINHAL until July 2023, which assessed shoulder or neck neuro-musculoskeletal non-invasive physical examination compared to an asymptomatic group. Two investigators assessed eligibility and study quality. The Newcastle Ottawa Scale was used to evaluate the methodology quality. Results Eight studies ( N = 604) were selected for the quantitative…
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S100A8/9 modulates perturbation and glycolysis of macrophages in allergic asthma mice
Xiaoyi Ji, Chunhua Nie, Yuan Yao, Yu Ma, Huafei Huang and 1 more
21 citationsOpen access (CC-BY)doi:10.7717/peerj.17106OpenAlex
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Background: Allergic asthma is the most prevalent asthma phenotype and is associated with the disorders of immune cells and glycolysis. Macrophages are the most common type of immune cells in the lungs. Calprotectin (S100A8 and S100A9) are two pro-inflammatory molecules that target the Toll-like receptor 4 (TLR4) and are substantially increased in the serum of patients with severe asthma. This study aimed to determine the effects of S100A8/A9 on macrophage polarization and glycolysis associated with allergic asthma. Methods: To better understand the roles of S100A8 and S100A9 in the pathogenesis of allergic asthma, we used ovalbumin (OVA)-induced MH-S cells, and OVA-sensitized and challenged mouse models (wild-type male BALB/c mice). Enzyme-linked immunosorbent assay, quantitative real-time polymerase chain reaction, flow cytometry, hematoxylin-eosin staining, and western blotting were performed. The glycolysis inhibitor 3-bromopyruvate (3-BP) was used to observe changes in glycolysis in mice. Results: We found knockdown of S100A8 or S100A9 in OVA-induced MH-S cells inhibited…
- 67top 3.4%
Cross-sectional association between 24-hour movement guidelines and depressive symptoms in Chinese university students
Yanqing Zhang, Xinli Chi, Liuyue Huang, Xingyi Yang, Sitong Chen
21 citationsOpen access (CC-BY)doi:10.7717/peerj.17217OpenAlex
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Background The world’s first 24-h movement guidelines for adults were released on 15 October 2020 in Canada, though evidence of their associations with health indicators in young adults is sparse. This study aimed to report the prevalence of meeting the 24-h movement guidelines and associations with depressive symptoms in a sample of Chinese university students. Methods Cross-sectional data from 1,793 Chinese university students (mean age = 20.7 years, 63.6% female) were used. Sociodemographic information, movement behaviors (physical activity, sedentary behavior, and sleep duration), and depressive symptoms were collected using a self-reported questionnaire. Results The prevalence of meeting the 24-h movement guidelines was 27.8% in Chinese university students. Logistic regression results show that compared to those who met the 24-h movement guidelines, odds ratio (OR) for depressive symptoms in those who met fewer recommendations contained in the 24-h movement guidelines were significantly higher (OR for none = 3.4, 95% CI [2.1–5.5], p < 0.001; OR for one = 2.7, 95% CI [2.0–3.8],…
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Hypertrophic effects of low-load blood flow restriction training with different repetition schemes: a systematic review and meta-analysis
Victor Sabino de Queirós, Nicholas D. Rolnick, Brad Jon Schoenfeld, Ingrid Martins de França, João Guilherme Vieira and 5 more
20 citationsOpen access (CC-BY)doi:10.7717/peerj.17195OpenAlex
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Abstract This systematic review and meta-analysis analyzed the effect of low-load resistance training (LL-RT) with blood flow restriction (BFR) versus high-load resistance training (HL-RT) on muscle hypertrophy focusing on the repetition scheme adopted. Four databases were searched to identify randomized controlled trials that compared the effect of LL-RT with BFR versus HL-RT on muscle hypertrophy. Standardized mean differences (SMD) were pooled in a random effects meta-analysis. The overall analysis did not demonstrate significant differences between conditions (SMD = 0.0364; p = 0.196). A similar result was observed when we separately analyzed studies that used sets to momentary muscle failure (SMD = 0.034; p = 0.522), sets of 15 repetitions (SMD = -0.019; p = 747) and a fixed repetition scheme composed of 75 repetitions (SMD = 0.088; p = 0.177). Subgroup analysis on body region indicates no difference in lower limb exercise between HL-RT and LL-RT with BFR (SMD = 0.00065; p = 0.978) while upper limb exercise favors HL-RT (SMD = 0.2313; p = 0.005). In conclusion, LL-RT with BFR…
- 69top 3.5%
Altered vaginal cervical microbiota diversity contributes to HPV-induced cervical cancer via inflammation regulation
Yiheng Yang, Jufan Zhu, Renqian Feng, Mengfei Han, Fenghua Chen and 1 more
20 citationsOpen access (CC-BY)doi:10.7717/peerj.17415OpenAlex
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Background: Cancer has surpassed infectious diseases and heart ailments, taking the top spot in the disease hierarchy. Cervical cancer is a significant concern for women due to high incidence and mortality rates, linked to the human papillomavirus (HPV). HPV infection leads to precancerous lesions progressing to cervical cancer. The cervix's external os, near the vagina, hosts various microorganisms. Evidence points to the link between vaginal microbiota and HPV-induced cervical cancer. Cervical cancer onset aligns with an imbalanced Th1/Th2 immune response, but the role of vaginal microbiota in modulating this imbalance is unclear. Methods: In this study, we collected vaginal samples from 99 HPV-infected patients across varying degrees of lesions, alongside control groups. These samples underwent bacterial DNA sequencing. Additionally, we employed Elisa kits to quantify the protein expression levels of Th1/Th2 cytokines IL2, IL12, IL5, IL13, and TNFa within the centrifuged supernatant of vaginal-cervical secretions from diverse research subjects. Subsequently, correlation analyses…
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Contrasting effects of increasing dissolved iron on photosynthesis and O 2 availability in the gastric cavity of two Mediterranean corals
Walter Dellisanti, Qingfeng Zhang, Christine Ferrier‐Pagès, Michael Kühl
20 citationsOpen access (CC-BY)doi:10.7717/peerj.17259OpenAlex
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Iron (Fe) plays a fundamental role in coral symbiosis, supporting photosynthesis, respiration, and many important enzymatic reactions. However, the extent to which corals are limited by Fe and their metabolic responses to inorganic Fe enrichment remains to be understood. We used respirometry, variable chlorophyll fluorescence, and O 2 microsensors to investigate the impact of increasing Fe(III) concentrations (20, 50, and 100 nM) on the photosynthetic capacity of two Mediterranean coral species, Cladocora caespitosa and Oculina patagonica . While the bioavailability of inorganic Fe can rapidly decrease, we nevertheless observed significant physiological effects at all Fe concentrations. In C. caespitosa , exposure to 50 nM Fe(III) increased rates of respiration and photosynthesis, while the relative electron transport rate (rETR(II)) decreased at higher Fe(III) exposure (100 nM). In contrast, O. patagonica reduced respiration, photosynthesis rates, and maximum PSII quantum yield (F v /F m ) across all iron enrichments. Both corals exhibited increased hypoxia (<50 µmol O 2 L −1 )…
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The role of sirtuin1 in liver injury: molecular mechanisms and novel therapeutic target
Mufei Wang, Juanjuan Zhao, Jiuxia Chen, Teng Long, Mengwei Xu and 4 more
20 citationsOpen access (CC-BY)doi:10.7717/peerj.17094OpenAlex
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Liver disease is a common and serious threat to human health. The progression of liver diseases is influenced by many physiologic processes, including oxidative stress, inflammation, bile acid metabolism, and autophagy. Various factors lead to the dysfunction of these processes and basing on the different pathogeny, pathology, clinical manifestation, and pathogenesis, liver diseases are grouped into different categories. Specifically, Sirtuin1 (SIRT1), a member of the sirtuin protein family, has been extensively studied in the context of liver injury in recent years and are confirmed the significant role in liver disease. SIRT1 has been found to play a critical role in regulating key processes in liver injury. Further, SIRT1 seems to cause divers outcomes in different types of liver diseases. Recent studies have showed some therapeutic strategies involving modulating SIRT1, which may bring a novel therapeutic target. To elucidate the mechanisms underlying the role of sirtuin1 in liver injury and its potentiality as a therapeutic target, this review outlines the key signaling…
- 72top 3.6%
Physiological and molecular response mechanisms of tomato seedlings to cadmium (Cd) and lead (Pb) stress
Yan Hong Zhou, Jinyu Fu, Yu-Qi Ye, Qinsong Xu, Jinjie Liang and 3 more
19 citationsOpen access (CC-BY)doi:10.7717/peerj.18533OpenAlex
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Heavy metal contamination, particularly from cadmium (Cd) and lead (Pb), poses significant risks to soil and water resources and leads to severe damage in plants. This study investigated the physiological and molecular mechanisms of the responses of tomato ( Solanum lycopersicum L.) seedlings to Cd and Pb stress by applying 50 mg/L Cd, 100 mg/L Pb, and a combination of 50 mg/L Cd + 100 mg/L Pb. The goal was to understand how these heavy metals impact the growth, antioxidant systems, and secondary metabolic pathways in tomato seedlings. The results showed that compared with the control, Cd + Pb stress significantly increased the content of soluble sugar by 37.40% and 33.46% on days 5 and 15, respectively, and the content of proline by 77.91% to 93.91% during the entire period in tomato seedlings. It also elevated electrical leakage by 110.52% on day 15, maintained the levels of malondialdehyde close to the control, enhanced the activities of superoxide dismutase by 33.32% on day 10 and 11.22% on day 15, peroxidase by 42.15% on day 10, and catalase by 90.78% on day 10. Additionally,…
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Omics approaches to unravel insecticide resistance mechanism in Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae)
Muhammad Aqil Fitri Rosli, Sharifah Nabihah Syed Jaafar, Kamalrul Azlan Azizan, Salmah Yaakop, Wan Mohd Aizat
19 citationsOpen access (CC-BY)doi:10.7717/peerj.17843OpenAlex
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(Gennadius) whitefly (BtWf) is an invasive pest that has already spread worldwide and caused major crop losses. Numerous strategies have been implemented to control their infestation, including the use of insecticides. However, prolonged insecticide exposures have evolved BtWf to resist these chemicals. Such resistance mechanism is known to be regulated at the molecular level and systems biology omics approaches could shed some light on understanding this regulation wholistically. In this review, we discuss the use of various omics techniques (genomics, transcriptomics, proteomics, and metabolomics) to unravel the mechanism of insecticide resistance in BtWf. We summarize key genes, enzymes, and metabolic regulation that are associated with the resistance mechanism and review their impact on BtWf resistance. Evidently, key enzymes involved in the detoxification system such as cytochrome P450 (CYP), glutathione S-transferases (GST), carboxylesterases (COE), UDP-glucuronosyltransferases (UGT), and ATP binding cassette transporters (ABC) family played key roles in the resistance. These…
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The impact of history of depression and access to weapons on suicide risk assessment: a comparison of ChatGPT-3.5 and ChatGPT-4
Shiri Shinan‐Altman, Zohar Elyoseph, Inbar Levkovich
19 citationsOpen access (CC-BY)doi:10.7717/peerj.17468OpenAlex
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The aim of this study was to evaluate the effectiveness of ChatGPT-3.5 and ChatGPT-4 in incorporating critical risk factors, namely history of depression and access to weapons, into suicide risk assessments. Both models assessed suicide risk using scenarios that featured individuals with and without a history of depression and access to weapons. The models estimated the likelihood of suicidal thoughts, suicide attempts, serious suicide attempts, and suicide-related mortality on a Likert scale. A multivariate three-way ANOVA analysis with Bonferronipost hoctests was conducted to examine the impact of the forementioned independent factors (history of depression and access to weapons) on these outcome variables. Both models identified history of depression as a significant suicide risk factor. ChatGPT-4 demonstrated a more nuanced understanding of the relationship between depression, access to weapons, and suicide risk. In contrast, ChatGPT-3.5 displayed limited insight into this complex relationship. ChatGPT-4 consistently assigned higher severity ratings to suicide-related variables…
- 75top 3.8%
Cost-effort analysis of Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) in monitoring marine ecological communities
Alice J. Clark, Sophie R. Atkinson, Valentina Scarponi, Tim Cane, Nathan R. Geraldi and 3 more
19 citationsOpen access (CC-BY)doi:10.7717/peerj.17091OpenAlex
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Monitoring the diversity and distribution of species in an ecosystem is essential to assess the success of restoration strategies. Implementing biomonitoring methods, which provide a comprehensive assessment of species diversity and mitigate biases in data collection, holds significant importance in biodiversity research. Additionally, ensuring that these methods are cost-efficient and require minimal effort is crucial for effective environmental monitoring. In this study we compare the efficiency of species detection, the cost and the effort of two non-destructive sampling techniques: Baited Remote Underwater Video (BRUV) and environmental DNA (eDNA) metabarcoding to survey marine vertebrate species. Comparisons were conducted along the Sussex coast upon the introduction of the Nearshore Trawling Byelaw. This Byelaw aims to boost the recovery of the dense kelp beds and the associated biodiversity that existed in the 1980s. We show that overall BRUV surveys are more affordable than eDNA, however, eDNA detects almost three times as many species as BRUV. eDNA and BRUV surveys are…
- 76top 3.8%
Genome‑wide analysis of the MYB gene family in pumpkin
Minyan Xu, Jingjing Fu, Ying Ni, Chenchen Zhang
19 citationsOpen access (CC-BY)doi:10.7717/peerj.17304OpenAlex
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The MYB gene family exerts significant influence over various biological processes and stress responses in plants. Despite this, a comprehensive analysis of this gene family in pumpkin remains absent. In this study, the MYB genes of Cucurbita moschata were identified and clustered into 33 groups (C1-33), with members of each group being highly conserved in terms of their motif composition. Furthermore, the distribution of 175 CmoMYB genes across all 20 chromosomes was found to be non-uniform. Examination of the promoter regions of these genes revealed the presence of cis-acting elements associated with phytohormone responses and abiotic/biotic stress. Utilizing quantitative real-time polymerase chain reaction (qRT-PCR), the expression patterns of 13 selected CmoMYB genes were validated, particularly in response to exogenous phytohormone exposure and various abiotic stressors, including ABA, SA, MeJA, and drought treatments. Expression analysis in different tissues showed that CmoMYB genes are expressed at different levels in different tissues, suggesting that they are functionally…
- 77top 3.9%
Sex differences in strength at the shoulder: a systematic review
Tamar D. Kritzer, Cameron J. Lang, Michael W.R. Holmes, Alan C. Cudlip
19 citationsOpen access (CC-BY)doi:10.7717/peerj.16968OpenAlex
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Background: Understanding differential strength capability between sexes is critical in ergonomics and task design. Variations in study designs and outcome measures generates challenges in establishing workplace guidelines for strength requirements to minimize upper extremity risk for workers. The purpose of this systematic review was to collate and summarize sex differences in strength at the shoulder across movement directions and contraction types. Methods: A total of 3,294 articles were screened from four databases (Embase, Medline, SCOPUS, and Web of Science). Eligibility criteria included observational studies, direct measurement of muscular joint, and healthy adult participants (18-65 years old). Strength outcome measures were normalized to percentages of male outputs to allow comparisons across articles. Results: A total of 63 studies were included within the final review. Majority of articles observed increased strength in males; the gap between male-female strength was greater in flexion and internal/external rotation, with females generating ~30% of male strength;…
- 78top 3.9%
How to account for behavioral states in step-selection analysis: a model comparison
Jennifer Pohle, Johannes Signer, Jana Anja Eccard, Melanie Dammhahn, Ulrike E. Schlägel
19 citationsOpen access (CC-BY)doi:10.7717/peerj.16509OpenAlex
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Step-selection models are widely used to study animals’ fine-scale habitat selection based on movement data. Resource preferences and movement patterns, however, often depend on the animal’s unobserved behavioral states, such as resting or foraging. As this is ignored in standard (integrated) step-selection analyses (SSA, iSSA), different approaches have emerged to account for such states in the analysis. The performance of these approaches and the consequences of ignoring the states in step-selection analysis, however, have rarely been quantified. We evaluate the recent idea of combining iSSAs with hidden Markov models (HMMs), which allows for a joint estimation of the unobserved behavioral states and the associated state-dependent habitat selection. Besides theoretical considerations, we use an extensive simulation study and a case study on fine-scale interactions of simultaneously tracked bank voles (Myodes glareolus) to compare this HMM-iSSA empirically to both the standard and a widely used classification-based iSSA (i.e., a two-step approach based on a separate prior state…
- 79top 4%
Ferroptosis and its implications in bone-related diseases
Zihao Wang, Qiupeng Yan, Zhen Wang, Zunguo Hu, Chenchen Wang and 8 more
18 citationsOpen access (CC-BY)doi:10.7717/peerj.18626OpenAlex
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Ferroptosis, a recently recognized form of regulated cell death (RCD) characterized by iron-dependent lipid peroxide accumulation, has emerged as a noteworthy regulator in various bone-related diseases, including osteoporosis (OP), osteoarthritis (OA), and osteosarcoma (OS). OS primarily afflicts the elderly, rendering them susceptible to fractures due to increased bone fragility. OA represents the most prevalent arthritis in the world, often observed in the aging population. OS predominantly manifests during adolescence, exhibiting an aggressive nature and bearing a significantly unfavorable prognosis. In this review article, we present an overview of the characteristics and mechanism of ferroptosis and its involvement in bone-related diseases, with a particular focus on OP, OA, and OS. Furthermore, we summarize chemical compounds or biological factors that impact bone-related diseases by regulating ferroptosis. Through an in-depth exploration of ferroptosis based on current research findings, this review provides promising insights for potential therapeutic approaches to…
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Seed priming enhances seed germination and plant growth in four neglected cultivars of Capsicum annuum L.
Angelo Granata, Fiore Capozzi, Anna Gaglione, Riccardo Riccardi, Patrizia Spigno and 3 more
18 citationsOpen access (CC-BY)doi:10.7717/peerj.18293OpenAlex
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Priming is basically a water-based technique inducing controlled seed rehydration to trigger the metabolic processes normally activated during the early phase of germination. It is regarded as an ecofriendly approach alternative to fertilizers in traditional agriculture, but also a method to synchronize off-field crops and resume stored seeds, improving vigor, and allowing for a rapid, uniform seedling emergence. In this work we tested several methods of seed priming (i.e., hydro-priming, halopriming by KNO3, and acid priming with HCl) in four ancient and neglected cultivars of Capsicum annuum L., a crop species belonging to Solanaceae family cultivated worldwide. We followed germination performance, seedling growth and selected morphological traits, antioxidant production in the leaves, and protein content of the seeds. Apart from acid priming, which inhibited root emergence, both hydropriming and halopriming decreased the mean germination time in all cultivars. The best treatments were KNO3 6% for 96 h > KNO3 4% for 48 h > hydropriming for 24 h. In particular, KNO3 6% for 96 h in…
- 81top 4.1%
Bivalve microbiomes are shaped by host species, size, parasite infection, and environment
Sarah Gignoux‐Wolfsohn, Monserrat Garcia Ruiz, Diana Portugal Barron, Gregory M. Ruiz, Katrina M. Pagenkopp Lohan
18 citationsOpen access (CC-BY)doi:10.7717/peerj.18082OpenAlex
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Many factors affect an organism’s microbiome including its environment, proximity to other organisms, and physiological condition. As filter feeders, bivalves have highly plastic microbiomes that are especially influenced by the surrounding seawater, yet they also maintain a unique core set of microbes. Using 16S ribosomal RNA sequencing, we characterized the bacterial microbiomes of four species of bivalves native to the Mid-Atlantic East Coast of North America: Crassostrea virginica, Macoma balthica, Ameritella mitchelli , and Ischadium recurvum and assessed the impact of their external environment, internal parasites, and size on their microbial communities. We found significant differences in bacterial amplicon sequence variants (ASVs) across species, with each species harboring a core ASV present across all individuals. We further found that some C. virginica co-cultured with I. recurvum had high abundances of the I. recurvum core ASV. We identified ASVs associated with infection by the parasites Perkinsus marinus and Zaops ostreum as well others associated with bivalve size.…
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Effect of PM2.5 on burden of mortality from non-communicable diseases in northern Thailand
Nichapa Parasin, Teerachai Amnuaylojaroen
18 citationsOpen access (CC-BY)doi:10.7717/peerj.18055OpenAlex
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Background Particulate pollution, especially PM 2.5 from biomass burning, affects public and human health in northern Thailand during the dry season. Therefore, PM 2.5 exposure increases non-communicable disease incidence and mortality. This study examined the relationship between PM 2.5 and NCD mortality, including heart disease, hypertension, chronic lung disease, stroke, and diabetes, in northern Thailand during 2017–2021. Methods The analysis utilized accurate PM 2.5 data from the MERRA2 reanalysis, along with ground-based PM 2.5 measurements from the Pollution Control Department and mortality data from the Division of Non-Communicable Disease, Thailand. The cross-correlation and spearman coefficient were utilized for the time-lag, and direction of the relationship between PM 2.5 and mortality from NCDs, respectively. The Hazard Quotient (HQ) was used to quantify the health risk of PM 2.5 to people in northern Thailand. Results High PM2.5 risk was observed in March, with peak PM 2.5 concentration reaching 100 µg/m3, with maximum HQ values of 1.78 ± 0.13 to 4.25 ± 0.35 and 1.45 ±…
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Impact of nitrogen fertilizer type and application rate on growth, nitrate accumulation, and postharvest quality of spinach
Kemal Yalçın Gülüt, Gamze Güleç Şentürk
18 citationsOpen access (CC-BY)doi:10.7717/peerj.17726OpenAlex
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Background A balanced supply of nitrogen is essential for spinach, supporting both optimal growth and appropriate nitrate (NO 3 − ) levels for improved storage quality. Thus, choosing the correct nitrogen fertilizer type and application rate is key for successful spinach cultivation. This study investigated the effects of different nitrogen (N) fertilizer type and application rates on the growth, nitrate content, and storage quality of spinach plants. Methods Four fertilizer types were applied at five N doses (25, 50, 200, and 400 mg N kg −1 ) to plants grown in plastic pots at a greenhouse. The fertilizer types used in the experiment were ammonium sulphate (AS), slow-release ammonium sulphate (SRAS), calcium nitrate (CN), and yeast residue (YR). Spinach parameters like Soil Plant Analysis Development (SPAD) values (chlorophyll content), plant height, and fresh weight were measured. Nitrate content in leaves was analyzed after storage periods simulating post-harvest handling (0, 5, and 10 days). Results The application of nitrogen fertilizer significantly influenced spinach growth…
- 84top 4.2%
Enhancing medical image segmentation with a multi-transformer U-Net
Yongping Dan, Weishou Jin, Xuebin Yue, Zhida Wang
18 citationsOpen access (CC-BY)doi:10.7717/peerj.17005OpenAlex
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Various segmentation networks based on Swin Transformer have shown promise in medical segmentation tasks. Nonetheless, challenges such as lower accuracy and slower training convergence have persisted. To tackle these issues, we introduce a novel approach that combines the Swin Transformer and Deformable Transformer to enhance overall model performance. We leverage the Swin Transformer's window attention mechanism to capture local feature information and employ the Deformable Transformer to adjust sampling positions dynamically, accelerating model convergence and aligning it more closely with object shapes and sizes. By amalgamating both Transformer modules and incorporating additional skip connections to minimize information loss, our proposed model excels at rapidly and accurately segmenting CT or X-ray lung images. Experimental results demonstrate the remarkable, showcasing the significant prowess of our model. It surpasses the performance of the standalone Swin Transformer's Swin Unet and converges more rapidly under identical conditions, yielding accuracy improvements of 0.7%…
- 85top 4.3%
Effects of plant growth-promoting rhizobacteria on blueberry growth and rhizosphere soil microenvironment
Mengjiao Wang, Xinlong Yang
18 citationsOpen access (CC-BY)doi:10.7717/peerj.16992OpenAlex
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Background: Plant growth-promoting rhizobacteria (PGPR) have a specific symbiotic relationship with plants and rhizosphere soil. The purpose of this study was to evaluate the effects of PGPR on blueberry plant growth, rhizospheric soil nutrients and the microbial community. Methods: , were selected and added into the soil in which the blueberry cuttings were planted. All the physiological indexes of the cuttings and all rhizospheric soil element contents were determined on day 6 after the quartic root irrigation experiments were completed. The microbial diversity in the soil was determined using high-throughput amplicon sequencing technology. The correlations between phosphorus solubilization, the auxin production of PGPR strains, and the physiological indexes of blueberry plants, and the correlation between rhizospheric microbial diversity and soil element contents were determined using the Pearson's correlation, Kendall's tau correlation and Spearman's rank correlation analysis methods. Results: The branch number, leaf number, chlorophyllcontentand plant height of the treated…
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Beneficial endophytic fungi improve the yield and quality of Salvia miltiorrhiza by performing different ecological functions
Xiaoyu Li, Yali Lin, Yong Qin, Guiqi Han, Hai Wang and 1 more
18 citationsOpen access (CC-BY)doi:10.7717/peerj.16959OpenAlex
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Background Endophytic fungi can enhance the growth and synthesis of secondary metabolites in medicinal plants. Salvia miltiorrhiza Bunge is frequently employed for treating cardiovascular and cerebrovascular ailments, with the primary bioactive components being salvianolic acid and tanshinone. However, their levels in cultivated S. miltiorrhiza are inferior to that of the wild herbs, so the production of high-quality medicinal herbs is sharply declining. Consequently, the utilization of beneficial endophytic fungi to improve the yield and quality of S. miltiorrhiza holds great significance for the cultivation of medicinal plants. Methods In this study, nine non-pathogenic, endophytic fungal strains were introduced into sterile S. miltiorrhiza seedlings and cultivated both in vitro and in situ (the greenhouse). The effects of these strains on the growth indices, C and N metabolism, antioxidant activity, photosynthesis, and content of bioactive ingredients in S. miltiorrhiza were then evaluated. Results The results showed that the different genera, species, or strains of endophytic…
- 87top 4.4%
Exotic and native plants play equally important roles in supporting and structuring plant-hummingbird networks within urban green spaces
Monserrat Sánchez Sánchez, Carlos Lara
18 citationsOpen access (CC-BY)doi:10.7717/peerj.16996OpenAlex
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Background Urban gardens, despite their transformed nature, serve as invaluable microcosms for a quantitative examination of floral resource provision to urban pollinators, considering the plant’s origin. Thus, knowledge has increased, emphasizing the importance of these green areas for hosting and conserving pollinator communities. However, there is a significant knowledge gap concerning the changing availability of these native and exotic floral resources over time and their impact on structuring interaction networks with specific pollinators. Methods Over a year-long period, monthly surveys were conducted to record both native and exotic plant species visited by hummingbirds in an urban garden at Tlaxcala, Mexico. Flower visits were recorded, and the total flowers on each plant visited were tallied. Additionally, all observed hummingbirds were recorded during the transect walks, regardless of plant visits, to determine hummingbird abundance. The interactions were summarized using matrices, and network descriptors like connectance, specializacion, nestedness, and modularity were…
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A new perspective on the taxonomy and systematics of Arvicolinae (Gray, 1821) and a new time-calibrated phylogeny for the clade
Charles B. Withnell, Simon G. Scarpetta
18 citationsOpen access (CC-BY)doi:10.7717/peerj.16693OpenAlex
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Background Arvicoline rodents are one of the most speciose and rapidly evolving mammalian lineages. Fossil arvicolines are also among the most common vertebrate fossils found in sites of Pliocene and Pleistocene age in Eurasia and North America. However, there is no taxonomically robust, well-supported, time-calibrated phylogeny for the group. Methods Here we present well-supported hypotheses of arvicoline rodent systematics using maximum likelihood and Bayesian inference of DNA sequences of two mitochondrial genes and three nuclear genes representing 146 (82% coverage) species and 100% of currently recognized arvicoline genera. We elucidate well-supported major clades, reviewed the relationships and taxonomy of many species and genera, and critically compared our resulting molecular phylogenetic hypotheses to previously published hypotheses. We also used five fossil calibrations to generate a time-calibrated phylogeny of Arvicolinae that permitted some reconciliation between paleontological and neontological data. Results Our results are largely congruent with previous molecular…
- 89top 4.5%
Biocontrol potential of endophytic bacterium Bacillus altitudinis GS-16 against tea anthracnose caused by Colletotrichum gloeosporioides
Youzhen Wu, Yumei Tan, Qiuju Peng, X. B. Yang, Jiaofu Xie and 4 more
18 citationsOpen access (CC-BY)doi:10.7717/peerj.16761OpenAlex
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Background As one of the main pathogens causing tea anthracnose disease, Colletotrichum gloeosporioides has brought immeasurable impact on the sustainable development of agriculture. Given the adverse effects of chemical pesticides to the environment and human health, biological control has been a focus of the research on this pathogen. Bacillus altitudinis GS-16, which was isolated from healthy tea leaves, had exhibited strong antagonistic activity against tea anthracnose disease. Methods The antifungal mechanism of the endophytic bacterium GS-16 against C. gloeosporioides 1-F was determined by dual-culture assays, pot experiments, cell membrane permeability, cellular contents, cell metabolism, and the activities of the key defense enzymes. Results We investigated the possible mechanism of strain GS-16 inhibiting 1-F. In vitro, the dual-culture assays revealed that strain GS-16 had significant antagonistic activity (92.03%) against 1-F and broad-spectrum antifungal activity in all tested plant pathogens. In pot experiments, the disease index decreased to 6.12 after treatment with…
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Prevalence of oral submucous fibrosis across diverse populations: a systematic review and meta-analysis
Mengqi Wang, Chengchen Duan, Yuzi Wei, Xiaoping Xu
17 citationsOpen access (CC-BY)doi:10.7717/peerj.18385OpenAlex
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Purpose: The aim is to offer a comprehensive overview of oral submucous fibrosis (OSF) prevalence and explore its epidemiological characteristics across various demographic groups and geographical locations, thereby helping the formulation of public health management policies. Methods: Studies reporting OSF prevalence were identified from electronic databases including the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE via PubMed, EMBASE via OVID, and Web of Science. Pooled prevalence and quality assessment using the New-Ottawa Scale were conducted. Two reviewers screened and selected records, assessed quality, and independently extracted data. This systematic review and meta-analysis followed the PRISMA guidelines and was registered on PROSPERO (CRD42024532975). Results: Sixty-three studies, encompassing 11,434 cases in a total population of 769,860, reported OSF prevalence. The majority of studies (forty-one) were from India. The pooled prevalence of OSF across all populations was 3.0% (95% CI [2.8-3.2]%). In non-risk populations, risk populations, and…
- 91top 4.6%
Is it worth the extra mile? Comparing environmental DNA and RNA metabarcoding for vertebrate and invertebrate biodiversity surveys in a lowland stream
Till‐Hendrik Macher, Jens Arle, Arne J. Beermann, Lina Frank, Kamil Hupało and 3 more
17 citationsOpen access (CC-BY)doi:10.7717/peerj.18016OpenAlex
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Environmental DNA (eDNA) metabarcoding has emerged as a promising approach to assess biodiversity and derive ecological status classes from water samples. However, a limitation of eDNA surveys is that detected DNA molecules may originate from other places or even dead organisms, distorting local biodiversity assessments. Environmental RNA (eRNA) metabarcoding has recently been proposed as a complementary tool for more localized assessments of the biological community. In this study, we evaluated the effectiveness of eDNA and eRNA metabarcoding for inferring the richness and species distribution patterns of vertebrates and invertebrates in a Central European lowland river. We collected water samples and analyzed them using a 12S marker for vertebrates and a COI marker for invertebrates. We detected 31 fish, 16 mammal, 10 bird and one lamprey species in the vertebrate dataset. While results were largely consistent, we detected a higher number of species when analysing eRNA (mean = 30.89) than eDNA (mean = 26.16). Also, eRNA detections had a stronger local signature than eDNA…
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Optimizing total RNA extraction method for human and mice samples
Yumei Zeng, Xiaoxue Tang, Jinwen Chen, Xi Kang, Dazhang Bai
17 citationsOpen access (CC-BY)doi:10.7717/peerj.18072OpenAlex
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Background Extracting high-quality total RNA is pivotal for advanced RNA molecular studies, such as Next-generation sequencing and expression microarrays where RNA is hybridized. Despite the development of numerous extraction methods in recent decades, like the cetyl-trimethyl ammonium bromide (CTAB) and the traditional TRIzol reagent methods, their complexity and high costs often impede their application in small-scale laboratories. Therefore, a practical and economical method for RNA extraction that maintains high standards of efficiency and quality needs to be provided to optimize RNA extraction from human and mice tissues. Method This study proposes enhancements to the TRIzol method by incorporating guanidine isothiocyanate (GITC-T method) and sodium dodecyl sulfate (SDS-T method). We evaluated the effectiveness of these modified methods compared to the TRIzol method using a micro-volume UV-visible spectrophotometer, electrophoresis, q-PCR, RNA-Seq, and whole transcriptome sequencing. Result The micro-volume UV-visible spectrophotometer, electrophoresis, and RNA-Seq demonstrated…
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Consumer-priced wearable sensors combined with deep learning can be used to accurately predict ground reaction forces during various treadmill running conditions
Josh Carter, Xi Chen, Dario Cazzola, Grant Trewartha, Ezio Preatoni
17 citationsOpen access (CC-BY)doi:10.7717/peerj.17896OpenAlex
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Ground reaction force (GRF) data is often collected for the biomechanical analysis of running, due to the performance and injury risk insights that GRF analysis can provide. Traditional methods typically limit GRF collection to controlled lab environments, recent studies have looked to combine the ease of use of wearable sensors with the statistical power of machine learning to estimate continuous GRF data outside of these restrictions. Before such systems can be deployed with confidence outside of the lab they must be shown to be a valid and accurate tool for a wide range of users. The aim of this study was to evaluate how accurately a consumer-priced sensor system could estimate GRFs whilst a heterogeneous group of runners completed a treadmill protocol with three different personalised running speeds and three gradients. Fifty runners (25 female, 25 male) wearing pressure insoles made up of 16 resistive sensors and an inertial measurement unit ran at various speeds and gradients on an instrumented treadmill. A long short term memory (LSTM) neural network was trained to estimate…
- 94top 4.7%
Effects of five types of exercise on vascular function in postmenopausal women: a network meta-analysis and systematic review of 32 randomized controlled trials
Weihao Sun, Yanli Han, Song Gu
17 citationsOpen access (CC-BY)doi:10.7717/peerj.17621OpenAlex
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Background: As women age, especially after menopause, cardiovascular disease (CVD) prevalence rises, posing a significant global health concern. Regular exercise can mitigate CVD risks by improving blood pressure and lipid levels in postmenopausal women. Yet, the optimal exercise modality for enhancing vascular structure and function in this demographic remains uncertain. This study aims to compare five exercise forms to discern the most effective interventions for reducing cardiovascular risk in postmenopausal women. Methods: The study searched PubMed, Web of Science, Cochrane, EBSCO, and Embase databases. It conducted a network meta-analysis (NMA) of randomized controlled trials (RCTs) on five exercise interventions: continuous endurance training (CET), interval training (INT), resistance training (RT), aerobic combined with resistance training (CT), and hybrid-type training (HYB). Outcome measures included carotid artery intima-media thickness (IMT), nitric oxide (NO), augmentation index (AIx), pulse wave velocity (PWV), and flow-mediated dilatation (FMD) of the brachial artery.…
- 95top 4.8%
The impact of the military conflict in Sudan on maternal health: a mixed qualitative and quantitative study
Elhadi Miskeen
17 citationsOpen access (CC-BY)doi:10.7717/peerj.17484OpenAlex
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Objectives Ongoing military conflict in Sudan has had significant repercussions on the health and well-being of the population, particularly among women of reproductive age. This study aimed to investigate the impact of conflict on maternal health by employing a mixed qualitative and quantitative research approach. Methods Through in-depth interviews and survey questionnaires (388 women), this study examined the experiences and challenges faced by pregnant women and new mothers and the availability and accessibility of maternal healthcare services in conflict-affected areas. Using a qualitative approach, in-depth interviews were conducted with 35 women who had recently given birth or were pregnant in regions affected by the Khartoum State–Sudan conflict. Thematic analysis was used to analyze the data collected from the interviews. Result Most women did not have access to healthcare services (86.6%), and out of the total sample, 93 (24%) experienced adverse outcomes. The factors associated with adverse effects were parity (OR 1.78, CI [1.15–2.75], p -value 0.010), gestational age (OR…
- 96top 4.8%
Gypenosides exert cardioprotective effects by promoting mitophagy and activating PI3K/Akt/GSK-3 β /Mcl-1 signaling
Yizhe Zheng, Wei Wei, Yukun Wang, Tingting Li, Yundong Wei and 1 more
17 citationsOpen access (CC-BY)doi:10.7717/peerj.17538OpenAlex
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Background Gynostemma pentaphyllum (Thunb.) Makino, a well-known edible and medicinal plant, has anti-aging properties and is used to treataging-associated conditions such as diabetes, metabolic syndrome, and cardiovascular diseases. Gypenosides (GYPs) are the primary constituents of G. pentaphyllum . Increasing evidence indicates that GYPs are effective at preserving mitochondrial homeostasis and preventing heart failure (HF). This study aimed to uncover the cardioprotective mechanisms of GYPs related to mitochondrial regulation. Methods The bioactive components in GYPs and the potential targets in treating HF were obtained and screened using the network pharmacology approach, followed by drug-disease target prediction and enrichment analyses. The pharmacological effects of GYPs in cardioprotection, mitochondrial function, mitochondrial quality control, and underlying mechanisms were further investigated in Doxorubicin (Dox)-stimulated H9c2 cardiomyocytes. Results A total of 88 bioactive compounds of GYPs and their respective 71 drug-disease targets were identified. The hub targets…
- 97top 4.9%
Environmental awareness and sustainable consumption behaviours of Turkish nursing students
Renginar Öztürk Dönmez, Eda Yardımcı
17 citationsOpen access (CC-BY)doi:10.7717/peerj.17366OpenAlex
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Objectives: This study aims to determine the environmental awareness and sustainable consumption behaviours of nursing students. Methods: This cross-sectional study was conducted with 380 undergraduate nursing students studying at Faculty of Nursing, Ege University, Türkiye. The Personal Information Form, Environmental Awareness Scale (EAS), and Sustainable Consumption Behaviours Scale (SCBS) were used to collect the research data. Number, percentage, mean, Kolmogorov-Smirnov Z test, t-test, one-way analysis of variance, Pearson's correlation test, and linear regression analysis were used in statistical evaluation. Results: The mean total score on the EAS was 46.12 (SD = 6.60), and the mean total score of the SCBS was 61.83 (SD = 9.10). A significant, moderate, and positive correlation was found between students' environmental awareness and sustainable consumption behaviours. Moreover, students' gender and the people they lived with caused statistically significant differences in the EAS score. The people students lived with, the place where they lived for the longest time, and…
- 98top 4.9%
Interwoven processes in fish development: microbial community succession and immune maturation
Lisa Zoé Auclert, Mousumi Sarker Chhanda, Nicolas Derôme
17 citationsOpen access (CC-BY)doi:10.7717/peerj.17051OpenAlex
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Fishes are hosts for many microorganisms that provide them with beneficial effects on growth, immune system development, nutrition and protection against pathogens. In order to avoid spreading of infectious diseases in aquaculture, prevention includes vaccinations and routine disinfection of eggs and equipment, while curative treatments consist in the administration of antibiotics. Vaccination processes can stress the fish and require substantial farmer's investment. Additionally, disinfection and antibiotics are not specific, and while they may be effective in the short term, they have major drawbacks in the long term. Indeed, they eliminate beneficial bacteria which are useful for the host and promote the raising of antibiotic resistance in beneficial, commensal but also in pathogenic bacterial strains. Numerous publications highlight the importance that plays the diversified microbial community colonizing fish (i.e., microbiota) in the development, health and ultimately survival of their host. This review targets the current knowledge on the bidirectional communication between…
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Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution
Julia Hackländer, Leandro Parente, Yu-Feng Ho, Tomislav Hengl A, Rolf Ezequiel de Oliveira Simões and 8 more
17 citationsOpen access (CC-BY)doi:10.7717/peerj.16972OpenAlex
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Abstract The paper presents results of using remote sensing time series and machine learning to map and assess land potential based on time-series of potential Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) composites. Monthly aggregated FAPAR time series of three percentiles (0.05, 0.50 and 0.95 probability) at 250 m spatial resolution were derived from the 8–day GLASS FAPAR V6 product for 2000–2021 and used to determine long–term trends in FAPAR, as well as to model potential FAPAR in the absence of human pressure. CCa 3 million training points sampled from 12,500 locations across the globe were overlaid with 68 bio–physical variables representing climate, terrain, land form, and vegetation cover, as well as several variables related to human pressure including: population count, cropland intensity, nightlights and a human footprint index. The training points were used in an ensemble machine learning model that stacks three base learners (Extremely Randomized Trees, Gradient Descended Trees and Artificial Neural Network) using a linear regressor as meta-learner.…
- 100top 5%
Nonadjacent dependencies and sequential structure of chimpanzee action during a natural tool-use task
Elliot Howard-Spink, Misato Hayashi, Tetsuro Matsuzawa, Daniel P. Schofield, Thibaud Gruber and 1 more
16 citationsOpen access (CC-BY)doi:10.7717/peerj.18484OpenAlex
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Many of the complex behaviours of humans involve the production of nonadjacent dependencies between sequence elements, which in part can be generated through the hierarchical organization of sequences. To understand how these structural properties of human behaviours evolved, we can gain valuable insight from studying the sequential behaviours of nonhuman animals. Among the behaviours of nonhuman apes, tool use has been hypothesised to be a domain of behaviour which likely involves hierarchical organization, and may therefore possess nonadjacent dependencies between sequential actions. However thus far, evidence supporting hierarchical organization of great-ape tool use comes from methodologies which have been criticised in their objectivity. Additionally, the extent to which nonadjacent dependencies appear in primate action sequences during tool use has not been formally investigated. We used estimations of mutual information (MI)-a measure of dependency strength between sequence elements-to evaluate both the extent to which wild chimpanzees produce nonadjacent dependencies during…
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The cohort is every article, review and book chapter OpenAlex attributes to PeerJ with publication year 2024, 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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