bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integrating virtual screening, pharmacoinformatics profiling, and molecular dynamics: identification of promising inhibitors targeting 3CLpro of SARS-CoV-2
Authors: Mohammad Abeer , Zheoat Ahmed , Oraibi Amjad , Manaithiya Ajay , S. Almaary Khalid , Allah Nafidi Hiba , Bourhia Mohammed , Kilani-Jaziri Soumaya , A. Bin Jardan Yousef 
Published: March 2024

Introduction: The pursuit of effective therapeutic solutions for SARS-CoV-2 infections and COVID-19 necessitates the repurposing of existing compounds. This study focuses on the detailed examination of the central protease, 3-chymotrypsin-like protease (3CLpro), a pivotal player in virus replication. The combined approach of molecular dynamics simulations and virtual screening is employed to identify potential inhibitors targeting 3CLpro.Methods: A comprehensive virtual screening of 7120 compounds sourced from diverse databases was conducted. Four promising inhibitors, namely EN1036, F6548-4084, F6548-1613, and PUBT44123754, were identified. These compounds exhibited notable attributes, including high binding affinity (ranging from −5.003 to −5.772 Kcal/mol) and superior Induced Fit Docking scores (ranging from −671.66 to −675.26 Kcal/mol) compared to co-crystallized ligands.Results: In-depth analysis revealed that F6548-1613 stood out, demonstrating stable hydrogen bonds with amino acids His41 and Thr62. Notably, F6548-1613 recorded a binding energy of −65.72 kcal/mol in Molecular Mechanics Generalized Born Surface Area (MMGBSA) simulations. These findings were supported by Molecular Dynamics simulations, highlighting the compound’s efficacy in inhibiting 3CLpro.Discussion: The identified compounds, in compliance with Lipinski’s rule of five and exhibiting functional molecular interactions with 3CLpro, present promising therapeutic prospects. The integration of in silico methodologies significantly expedites drug discovery, laying the foundation for subsequent experimental validation and optimization. This approach holds the potential to develop effective therapeutics for SARS-CoV-2.
The prognostic value of absolute lymphocyte count and neutrophil‐to‐lymphocyte ratio for patients with metastatic breast cancer: a systematic review and meta‐analysis
Authors: Sang Bulin , Fan Yuxin , Wang Xurao , Dong Lixian , Gong Yuanyuan , Zou Wenhong , Zhao Guanhua , He Jianchang 
Published: March 2024

BackgroundNeutrophil‐to‐lymphocyte ratio (NLR) is considered a potential prognostic marker in early breast cancer. However, the prognosis of absolute lymphocyte count (ALC) and NLR in metastatic breast cancer (MBC) has been reported in a few studies, and conclusions are still conflicting. This present manuscript aims to provide further solid evidence regarding the prognostic values of ALC and NLR in MBC patients.MethodEligible studies that reported the associations between ALC or NLR and MBC were included by searching relative electronic databases. Overall survival (OS) and progression-free survival (PFS) were used as outcome measures. The hazard ratio (HR) values and 95% confidence interval (CI) of the outcome measures were collected as effect sizes, and further analysis and discussion were conducted according to the pooled HR, subgroup analysis, publication bias, and interstudy heterogeneity.ResultsTwenty-nine studies comprising 3,973 patients with MBC were included. According to our findings, lower ALC was significantly associated with poorer prognosis of OS (HR = 0.57, 95% CI 0.48 to 0.68) and PFS (HR = 0.68, 95% CI 0.58 to 0.79), and greater NLR was associated with poorer OS (HR = 1.50, 95% CI 1.35 to 1.67) and PFS (HR = 1.82, 95% CI 1.42 to 2.35). Furthermore, the prognostic values of ALC and NLR in MBC were also observed in the subgroup analyses regarding cutoff values and ethnicities.ConclusionLow ALC and elevated NLR were observed to be significantly associated with adverse OS and PFS in MBC, indicating that ALC and NLR may act as potential prognostic biomarkers of MBC patients. Meanwhile, our results will also provide some novel evidence and research clues for the selection and development of clinical treatment strategies for MBC patients.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/, identifier CRD42021224114.
Dictyophora indusiata and Bacillus aryabhattai improve sugarcane yield by endogenously associating with the root and regulating flavonoid metabolism
Authors: Duan Mingzheng , Li Xiang , Wu Xiaojian , Long Shengfeng , Huang Hairong , Li Yijie , Liu Qi-Huai , Zhu Guanghu , Feng Bin , Qin Sunqian , Li Changning , Yang Hai , Qin Jie , Chen Zhendong , Wang Zeping 
Published: March 2024

IntroductionEndophytes play a significant role in regulating plant root development and facilitating nutrient solubilization and transportation. This association could improve plant growth. The present study has uncovered a distinct phenotype, which we refer to as "white root", arising from the intricate interactions between endophytic fungi and bacteria with the roots in a sugarcane and bamboo fungus (Dictyophora indusiata) intercropping system.MethodsWe investigated the mechanisms underlying the formation of this “white root” phenotype and its impact on sugarcane yield and metabolism by metabarcoding and metabolome analysis.Results and DiscussionInitial analysis revealed that intercropping with D. indusiata increased sugarcane yield by enhancing the number of viable tillers compared with bagasse and no input control. Metabarcoding based on second-generation and third-generation sequencing indicated that D. indusiate and Bacillus aryabhattai dominates the fungal and bacterial composition in the “white root” phenotype of sugarcane root. The coexistence of D. indusiata and B. aryabhattai as endophytes induced plant growth-promoting metabolites in the sugarcane root system, such as lysoPC 18:1 and dihydrobenzofuran, probably contributing to increased sugarcane yield. Furthermore, the association also enhanced the metabolism of compounds, such as naringenin-7-O-glucoside (Prunin), naringenin-7-O-neohesperidoside (Naringin)*, hesperetin-7-O-neohesperidoside (Neohesperidin), epicatechin, and aromadendrin (Dihydrokaempferol), involved in flavonoid metabolism during the formation of the endophytic phenotype in the sugarcane root system. These observations suggest that the “white root” phenotype promotes sugarcane growth by activating flavonoid metabolism. This study reports an interesting phenomenon where D. indusiata, coordinate with the specific bacteria invade, forms a “white root” phenotype with sugarcane root. The study also provides new insights into using D. indusiata as a soil inoculant for promoting sugarcane growth and proposes a new approach for improve sugarcane cultivation.
Full-length transcriptome sequencing provides insights into alternative splicing under cold stress in peanut
Authors: Wang Xin , Liu Yue , Ouyang Lei , Yao Ruonan , Yu Tingting , Yan Liying , Chen Yuning , Huai Dongxin , Zhou Xiaojing , Wang Zhihui , Kang Yanping , Wang Qianqian , Jiang Huifang , Lei Yong , Liao Boshou 
Published: March 2024

IntroductionPeanut (Arachis hypogaea L.), also called groundnut is an important oil and cash crop grown widely in the world. The annual global production of groundnuts has increased to approximately 50 million tons, which provides a rich source of vegetable oils and proteins for humans. Low temperature (non-freezing) is one of the major factors restricting peanut growth, yield, and geographic distribution. Since the complexity of cold-resistance trait, the molecular mechanism of cold tolerance and related gene networks were largely unknown in peanut.MethodsIn this study, comparative transcriptomic analysis of two peanut cultivars (SLH vs. ZH12) with differential cold tolerance under low temperature (10°C) was performed using Oxford Nanopore Technology (ONT) platform.Results and discussionAs a result, we identified 8,949 novel gene loci and 95,291 new/novel isoforms compared with the reference database. More differentially expressed genes (DEGs) were discovered in cold-sensitive cultivar (ZH12) than cold-tolerant cultivar (SLH), while more alternative splicing events were found in SLH compared to ZH12. Gene Ontology (GO) analyses of the common DEGs showed that the “response to stress”, “chloroplast part”, and “transcription factor activity” were the most enriched GO terms, indicating that photosynthesis process and transcription factors play crucial roles in cold stress response in peanut. We also detected a total of 708 differential alternative splicing genes (DASGs) under cold stress compared to normal condition. Intron retention (IR) and exon skipping (ES) were the most prevalent alternative splicing (AS) events. In total, 4,993 transcription factors and 292 splicing factors were detected, many of them had differential expression levels and/or underwent AS events in response to cold stress. Overexpression of two candidate genes (encoding trehalose-6-phosphatephosphatases, AhTPPs) in yeast improves cold tolerance. This study not only provides valuable resources for the study of cold resistance in peanut but also lay a foundation for genetic modification of cold regulators to enhance stress tolerance in crops
Gender differences in psychological help-seeking attitudes: a case in Türkiye
Authors: Güney Esra , Aydemir Ahmet Fatih , Iyit Neslihan , Alkan Ömer 
Published: March 2024

Background/aimMental disorders pose a substantial public health challenge within the overall disease burden. This study aims to determine the factors associated with seeking psychological help among individuals experiencing depression according to gender differences in Türkiye.MethodsThe study utilized microdata from Türkiye Health Survey conducted by the Turkish Statistical Institute in 2016, 2019, and 2022. Binary logistic regression analysis was employed to determine the factors associated with seeking psychological help.ResultsThe study’s findings reveal that variables such as survey year, age, education level, employment status, general health status, disease status, depression status, day service status in the hospital, daily activity status, tobacco use status, and alcohol use status are associated with the status of receiving psychological help.ConclusionGender-specific analysis indicated variations in the significance and impact of these variables among individuals seeking psychological help. In the development of preventive strategies for mental health protection, special attention should be given to factors associated with the psychological help-seeking behavior of both women and men. Prioritizing and addressing these factors will contribute to more effective mental health interventions.
Effect of 24-form simplified Tai Chi on executive inhibitory control of college students: a randomized controlled trial of EEG
Authors: Wang Min , Lyu Bei 
Published: March 2024

BackgroundCollege students, undergoing crucial cognitive development, face challenges during the COVID-19 pandemic that impact their executive functions. While existing research indicates positive effects of Tai Chi (TC) on college students’ cognitive abilities, there is a scarcity of studies investigating its impact on executive functions and frontal brain activity.ObjectiveThis study aimed to compare the effects of 24-form simplified TC training on college students’ executive functions and frontal brain electrical activity. The hypothesis posited that the TC group would exhibit superior performance compared to the control group during COVID-19 pandemic.MethodSeventy college students were randomly assigned to either TC group or control group, engaging in 36 sessions (3 sessions per week, 45 min each) over 12 weeks. Executive inhibitory control was assessed using the Stroop Color and Word Test, and resting brain electrical activity in the frontal area was recorded through Electroencephalography.ResultACC was influenced by group, group-time interaction, and Stroop task-time interaction. RT was affected by time, task condition, task condition-time interaction, and task condition-group interaction. Notably, the TC group showed improved ACC (from 96.54 ± 3.27% to 98.90 ± 1.32%) and decreased RT (from 0.73 ± 0.12 to 0.66 ± 0.07 s), particularly in the inconsistent task. Regarding EEG band power, significant Group and Time interaction effects were found in F3-θ, F3-α, F3-β, F4-θ, and F4-α. Moreover, within the TC group, significant increases in F3-θ band power (from 4.66 ± 3.55 to 7.71 ± 8.44) and F4-θ band power (from 4.41 ± 2.82 to 8.61 ± 9.51) (10−3·μV·Hz) were noted pre-and post-tests. In the control group, significant decreases were observed in F3-α band power (from 5.18 ± 4.61 to 2.79 ± 2.11) and F4-α band power (from 5.57 ± 6.58 to 2.48 ± 1.95) (10−3·μV·Hz).ConclusionThe pandemic-induced panic may impact frontal lobe brain activity in college students. TC training not only improves executive inhibitory control but may also enhance localized brain activity, suggesting its potential as a holistic intervention for cognitive and neurological well-being during stressful periods.
Artificial intelligence significantly facilitates development in the mental health of college students: a bibliometric analysis
Authors: Chen Jing , Yuan Dongfeng , Dong Ruotong , Cai Jingyi , Ai Zhongzhu , Zhou Shanshan 
Published: March 2024

ObjectiveCollege students are currently grappling with severe mental health challenges, and research on artificial intelligence (AI) related to college students mental health, as a crucial catalyst for promoting psychological well-being, is rapidly advancing. Employing bibliometric methods, this study aim to analyze and discuss the research on AI in college student mental health.MethodsPublications pertaining to AI and college student mental health were retrieved from the Web of Science core database. The distribution of publications were analyzed to gage the predominant productivity. Data on countries, authors, journal, and keywords were analyzed using VOSViewer, exploring collaboration patterns, disciplinary composition, research hotspots and trends.ResultsSpanning 2003 to 2023, the study encompassed 1722 publications, revealing notable insights: (1) a gradual rise in annual publications, reaching its zenith in 2022; (2) Journal of Affective Disorders and Psychiatry Research emerged were the most productive and influential sources in this field, with significant contributions from China, the United States, and their affiliated higher education institutions; (3) the primary mental health issues were depression and anxiety, with machine learning and AI having the widest range of applications; (4) an imperative for enhanced international and interdisciplinary collaboration; (5) research hotspots exploring factors influencing college student mental health and AI applications.ConclusionThis study provides a succinct yet comprehensive overview of this field, facilitating a nuanced understanding of prospective applications of AI in college student mental health. Professionals can leverage this research to discern the advantages, risks, and potential impacts of AI in this critical field.
Posterior cingulate cortex hyperactivity in conversion disorder: a PET/MRI study
Authors: Tatlı Safiye Zeynep , Araz Mine , Özkan Elgin , Peker Elif , Erden Mehmetİlhan , Cankorur VesileŞentürk 
Published: March 2024

IntroductionSeveral neuroimaging studies have been conducted to demonstrate the specific structural and functional brain correlations of conversion disorder. Although the findings of neuroimaging studies are not consistent, when evaluated as a whole, they suggest the presence of significant brain abnormalities. The aim of this study is to investigate brain metabolic activity through F-18 fluorodeoxyglucose PET/MRI in order to shed light on the neural correlates of conversion disorder.Methods20 patients diagnosed with conversion disorder were included in the study. Hamilton Depression and Anxiety Rating Scales, Somatosensory Amplification Scale and Somatoform Dissociation Scale were administered. Then, brain F-18 FDG-PET/MRI was performed..ResultsHypermetabolism was found in posterior cingulate R, while glucose metabolisms of other brain regions were observed to be within the normal limits. When compared with the control group, statistically significant differences in z-scores were observed among all brain regions except for parietal superior R and cerebellum. No correlation was observed between the metabolisms of the left ACC and left medial PFC; left ACC and left temporal lateral cortex; cerebellum and left parietal inferior cortex despite the presence of positive correlations between these regions in the opposite hemisphere.DiscussionResults of the study suggest a potential involvement of the DMN which is associated with arousal and self-referential processing as well as regions associated with motor intention and self-agency.
Current status and influencing factors of family resilience in families of children with epilepsy: a cross-sectional study
Authors: Wei Wenjing , Dong Lianlian , Ye Jinghua , Xiao Zhitian 
Published: March 2024

PurposeThe study was designed to describe the level of family resilience and identify the protective factors and vulnerability factors of family resilience in families of children with epilepsy. So as to provide theoretical guidance for implementing intervention programs to promote family resilience.MethodsFrom November 2020 to July 2021, 258 parents of children with epilepsy were investigated using a convenience sampling method. The questionnaire included demographic data, Chinese-Family Resilience Assessment Scale, Social Support Rating Scale, and the Beck Depression Inventory. SPSS25.0 was used for descriptive statistical analysis, univariate analysis, and multivariate linear regression analysis.ResultsIn this study, two hundred and fifty-eight primary caregivers completed the paper questionnaires. The total score of family resilience was (134.97 ± 16.57), which was above the medium level. Multiple linear regression analysis revealed that subjective support (β=0.327, P&lt;0.001), comorbidity (β=0.181, P&lt;0.05), objective support (β=0.117, P&lt;0.05), and parental depression (β=-0.158, P&lt;0.05) were significantly related to family resilience. These variables contribute 31.7% of the variance in family resilience (F=18.07, P&lt; 0.001).ConclusionThe families of children with epilepsy presented appropriate resilience after the children were diagnosed with epilepsy. Family resilience was correlated with multiple factors, subjective and objective support could be protective factors, comorbidity and parental depression could be vulnerability factors of family resilience. Therefore, future psychosocial interventions could focus on enhancing subjective support and objective support, reducing parental depression, and screening for epilepsy comorbidity to promote the family resilience of children with epilepsy.
Unconventional data, unprecedented insights: leveraging non-traditional data during a pandemic
Authors: Bolt Kaylin , Gil-González Diana , Oliver Nuria 
Published: March 2024

IntroductionThe COVID-19 pandemic prompted new interest in non-traditional data sources to inform response efforts and mitigate knowledge gaps. While non-traditional data offers some advantages over traditional data, it also raises concerns related to biases, representativity, informed consent and security vulnerabilities. This study focuses on three specific types of non-traditional data: mobility, social media, and participatory surveillance platform data. Qualitative results are presented on the successes, challenges, and recommendations of key informants who used these non-traditional data sources during the COVID-19 pandemic in Spain and Italy.MethodsA qualitative semi-structured methodology was conducted through interviews with experts in artificial intelligence, data science, epidemiology, and/or policy making who utilized non-traditional data in Spain or Italy during the pandemic. Questions focused on barriers and facilitators to data use, as well as opportunities for improving utility and uptake within public health. Interviews were transcribed, coded, and analyzed using the framework analysis method.ResultsNon-traditional data proved valuable in providing rapid results and filling data gaps, especially when traditional data faced delays. Increased data access and innovative collaborative efforts across sectors facilitated its use. Challenges included unreliable access and data quality concerns, particularly the lack of comprehensive demographic and geographic information. To further leverage non-traditional data, participants recommended prioritizing data governance, establishing data brokers, and sustaining multi-institutional collaborations. The value of non-traditional data was perceived as underutilized in public health surveillance, program evaluation and policymaking. Participants saw opportunities to integrate them into public health systems with the necessary investments in data pipelines, infrastructure, and technical capacity.DiscussionWhile the utility of non-traditional data was demonstrated during the pandemic, opportunities exist to enhance its impact. Challenges reveal a need for data governance frameworks to guide practices and policies of use. Despite the perceived benefit of collaborations and improved data infrastructure, efforts are needed to strengthen and sustain them beyond the pandemic. Lessons from these findings can guide research institutions, multilateral organizations, governments, and public health authorities in optimizing the use of non-traditional data.
Variability in the serial interval of COVID-19 in South Korea: a comprehensive analysis of age and regional influences
Authors: Lee Hyosun , Lee Gira , Kim Tobhin , Kim Suhyeon , Kim Hyoeun , Lee Sunmi 
Published: March 2024

IntroductionQuantifying the transmissibility over time, particularly by region and age, using parameters such as serial interval and time-varying reproduction number, helps in formulating targeted interventions. Moreover, considering the impact of geographical factors on transmission provides valuable insights into the effectiveness of control measures.MethodsDrawing on a comprehensive dataset of COVID-19 cases in South Korea, we analyzed transmission dynamics with a focus on age and regional variations. The dataset, compiled through the efforts of dedicated epidemiologists, includes information on symptom onset dates, enabling detailed investigations. The pandemic was divided into distinct phases, aligning with changes in policies, emergence of variants, and vaccination efforts. We analyzed various interventions such as social distancing, vaccination rates, school closures, and population density. Key parameters like serial interval, heatmaps, and time-varying reproduction numbers were used to quantify age and region-specific transmission trends.ResultsAnalysis of transmission pairs within age groups highlighted the significant impact of school closure policies on the spread among individuals aged 0-19. This analysis also shed light on transmission dynamics within familial and educational settings. Changes in confirmed cases over time revealed a decrease in spread among individuals aged 65 and older, attributed to higher vaccination rates. Conversely, densely populated metropolitan areas experienced an increase in confirmed cases. Examination of time-varying reproduction numbers by region uncovered heterogeneity in transmission patterns, with regions implementing strict social distancing measures showing both increased confirmed cases and delayed spread, indicating the effectiveness of these policies.DiscussionOur findings underscore the importance of evaluating and tailoring epidemic control policies based on key COVID-19 parameters. The analysis of social distancing measures, school closures, and vaccine impact provides valuable insights into controlling transmission. By quantifying the impact of these interventions on different age groups and regions, we contribute to the ongoing efforts to combat the COVID-19 pandemic effectively.