bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical significance of the m6A methyltransferase METTL3 in peripheral blood of patients with coronary heart disease
Authors: Chang Jianshe , Shao Rui , Xu Xiangshan , Jin Yuanzhe 
Published: September 2024

ObjectiveThis study aims to explore the association of methyltransferase-like protein 3 (METTL3) expression with severity of coronary artery stenosis in patients with coronary heart disease (CHD).MethodsA total of 100 patients administrated in the Fourth Affiliated Hospital of China Medical University between October 2022 and June 2023 with primary symptoms of chest pain or tightness, or cardiac discomfort, and who underwent coronary angiography for a definitive diagnosis, were included in the study. The baseline characteristics, including TG, TC, LDL-C, HDL-C, uric acid and past history were recorded. Peripheral blood samples were collected to assess the expression levels of METTL3, YT521-B homology domains 1 (YTHDF1), YT521-B homology domains 2 (YTHDF2), and YT521-B homology domains 3 (YTHDF3) using the PCR method. Relative expression levels of METTL3 protein were determined by Western blotting. Correlation analysis were conducted to evaluate the relationship between METTL3/YTHDF1 gene expression and clinical data. Receiver operating characteristic (ROC) curve analysis was employed to assess the predictive value of METTL3 and YTHDF1 for CHD. Binary logistic regression was used to determine whether the expression of METTL3 and YTHDF1 in peripheral blood were risk factors for CHD.ResultsThe study found no significant differences in baseline characteristics between CHD patients and controls, except for length of stay, Lymphocytes, Neutrophils, AST, HDL-C and modified Gensini score. The gene expression levels of METTL3 and YTHDF1 were significantly higher in CHD patients compared to controls (p &lt; 0.05). Furthermore, METTL3 protein expression was also significantly elevated in the CHD group compared to the control group (p &lt; 0.05). METTL3 gene expression correlated with HDL-C and Gensini score, while YTHDF1 gene expression correlated with Age, WBC, Neutrophils, RDW-CV, modified Gensini score. ROC curve analysis demonstrated an AUC of 0.692 for METTL3 in CHD, with a sensitivity of 66.7% and a specificity of 69.8% at a cut-off value of &gt;0.052. The AUC for YTHDF1 in CHD was 0.623, with a sensitivity of 47.4% and a specificity of 74.4% at a cut-off value of &gt;0.027. Binary logistic regression revealed that only increased METTL3 expression in peripheral blood was an independent risk factor for CHD (p &lt; 0.05).ConclusionsThe increased expression of METTL3 in peripheral blood may serve as a potential biomarker and predictive factor for CHD.
Predictors of low cardiac output syndrome after combined mitral and tricuspid valve surgery
Authors: Labaste François , Lavie-Badie Yoan , Bouchau Robin , Boyère Lucie , Sanchez-Verlaan Pascale , Gonzalez Hélène , Marcheix Bertrand , Botea Roxana , Vardon-Bounes Fanny , Minville Vincent 
Published: September 2024

IntroductionLow cardiac output syndrome (LCOS) is a common complication in cardiac surgery, and we evaluated the incidence of its early occurrence after mitral and tricuspid combined cardiac surgery and its associated risk factors.Material and methodRetrospective, single institution study. We included 88 consecutive adult patients with severe mitral insufficiency scheduled for elective mitral and tricuspid valve replacement surgery between January 2015 and November 2018. The primary endpoint was the occurrence of LCOS, defined as the need for inotropic support or circulatory assistance after surgery. The secondary endpoint was mortality at 30 days.ResultsLCOS occurred in 26 patients (29.5%) of the studied patients and its associated risk factors that appeared in the multivariate analysis were chronic kidney failure [adjusted odds ratio (OR) 3.1; 95% confidence interval (CI) 1.0–9.9, p = 0.05], pre-operative left ventricular heart failure (OR 5.3; 95% CI 1.3–10.9, p = 0.002), pre-operative right ventricular heart failure (OR 3.6; 95% CI 1.1–11.5, p = 0.02), and mitral valve replacement (OR 3.9; 95% CI 1.2–12.6, p = 0.03). LCOS affected the survival of patients (HR = 5.5; 95% CI 1.1–27.7 p = 0.04).ConclusionLCOS is a frequent complication after mitral and tricuspid combined surgery and is associated with poor prognosis.
Brief report: cultural adaptations for the PEERS program for Latine families
Authors: Martin Ann Marie , Blacher Jan , Veytsman Elina , Baker Elizabeth , Fodstad Jill , Meltzoff Katherine 
Published: September 2024

BackgroundThe UCLA PEERS program has been studied using predominantly White and affluent populations. As autistic teens and their parents are represented across cultures, it is vitally important that interventions are tailored to their needs–whether that be linguistically or with respect to their cultural practices. Thus, the current qualitative study explored whether culturally and linguistically diverse families (primarily Latine) participating in the PEERS program had recommendations for adaptations to improve their experience and make the program more culturally sensitive.MethodThe study utilized a sample of 13 autistic teens and their parents who completed the original 16-week PEERS program with content delivered bilingually.ResultsAll parents and teens recommended the program to other families. Although the intervention was largely accepted in its current format, suggestions were put forth regarding how to adapt the program to be more accommodating of Latine cultural views on parenting.ConclusionThe PEERS program is an evidenced based intervention with well documented positive results. This paper contributes to a growing body of literature highlighting both the importance of including underrepresented demographic groups in research and factoring in cultural adaptations to increase validity of interventions previously normed on White affluent populations.
Interprofessional education to support alcohol use screening and future team-based management of stress-related disorders in vulnerable populations
Authors: Fitzpatrick-Schmidt Taylor , Edwards Scott 
Published: September 2024

IntroductionAlcohol use disorder (AUD) is a psychiatric disease that affects approximately 10% of the population. Individuals suffer from a myriad of causes and consequences of AUD, and team-based management of patients is often required for given the chronic and complex nature of the disease. Interprofessional education (IPE) for biomedical science and health professional students that incorporates patient-centered cases focused on AUD and adjacent stress-related disorders may improve future collaboration in managing these conditions and community outcomes related to wellbeing.MethodsThis study assessed the impact of a single, 90-minute IPE exercise on improving confidence in possessing the knowledge and skills required for screening and management of patients at risk for AUD, the role of social determinants in health and stress-related diseases, and the importance of supporting the mental health of professionals to improve patient care. The exercise was provided to three groups of post-baccalaureate students (physician assistant [PA], physical therapy [PT], and biomedical sciences [BMS] graduate programs) within a human physiology course. Pre- and post-test surveys were administered via web-based platform before and after the session.ResultsWe found significant improvements in responses to seven of the eight assessment questions, including improved knowledge of one’s role in biomedical research or brief interventions for alcohol misuse, increased confidence in advising patients and community members about responsible alcohol drinking, and improved understanding of the role of all three professions (PA, PT, and BMS) in managing, treating, or researching stress-related disorders.DiscussionThese findings suggest that a single focused IPE session is impactful for improving student knowledge and understanding of stress-related disorders. IPE may represent an important educational strategy to bring together future scientists and health professionals to reflect upon unique and shared knowledge bases as well as integrative care principles for both patient and professional wellbeing.
CSER: a gene regulatory network construction method based on causal strength and ensemble regression
Authors: Li Yujia , Du Yang , Wang Mingmei , Ai Dongmei 
Published: September 2024

IntroductionGene regulatory networks (GRNs) reveal the intricate interactions between and among genes, and understanding these interactions is essential for revealing the molecular mechanisms of cancer. However, existing algorithms for constructing GRNs may confuse regulatory relationships and complicate the determination of network directionality.MethodsWe propose a new method to construct GRNs based on causal strength and ensemble regression (CSER) to overcome these issues. CSER uses conditional mutual inclusive information to quantify the causal associations between genes, eliminating indirect regulation and marginal genes. It considers linear and nonlinear features and uses ensemble regression to infer the direction and interaction (activation or regression) from regulatory to target genes.ResultsCompared to traditional algorithms, CSER can construct directed networks and infer the type of regulation, thus demonstrating higher accuracy on simulated datasets. Here, using real gene expression data, we applied CSER to construct a colorectal cancer GRN and successfully identified several key regulatory genes closely related to colorectal cancer (CRC), including ADAMDEC1, CLDN8, and GNA11.DiscussionImportantly, by integrating immune cell and microbial data, we revealed the complex interactions between the CRC gene regulatory network and the tumor microenvironment, providing additional new biomarkers and therapeutic targets for the early diagnosis and prognosis of CRC
Chronic kidney diseases and inflammation research: a bibliometric analysis
Authors: Wang Heyong , Chen Yang , Gou Yujuan , Yang Dianxing , Xiong Lanyue 
Published: September 2024

BackgroundChronic kidney diseases (CKD) is a severe public health problem. This study aimed to explore the field of inflammation-related research in CKD from a bibliometric perspective.MethodsRelevant literature published between 2004 and 2023 were searched from the Web of Science database. The bibliometric analysis were performed to summarize countries, institutions, authors, journals and keywords using VOSviewer and CiteSpace.ResultsA total of 9,287 publications on CKD and inflammation were included. Publications were mainly from the United States, China, Italy, Germany, and Japan. The findings revealed that the United States had the highest number of publications in this field, followed by China. There is strong collaboration between the two countries. The most productive institutions included the University of California system and the US Department of Veterans Affairs. Research hotspots primarily focused on inflammation mechanisms, biomarkers, and interventions.ConclusionThis study revealed the basic knowledge structure and provided a comprehensive insight into the research field of CKD and inflammation through bibliometric methods. Future studies should focus on early diagnosis, prevention, and treatment strategies of CKD, and explore more inflammation associated biomarkers and therapeutic targets for CKD.
The application of metagenomics, radiomics and machine learning for diagnosis of sepsis
Authors: Hu Xiefei , Zhi Shenshen , Wu Wenyan , Tao Yang , Zhang Yuanyuan , Li Lijuan , Li Xun , Pan Liyan , Fan Haiping , Li Wei 
Published: September 2024

IntroductionSepsis poses a serious threat to individual life and health. Early and accessible diagnosis and targeted treatment are crucial. This study aims to explore the relationship between microbes, metabolic pathways, and blood test indicators in sepsis patients and develop a machine learning model for clinical diagnosis.MethodsBlood samples from sepsis patients were sequenced. α-diversity and β-diversity analyses were performed to compare the microbial diversity between the sepsis group and the normal group. Correlation analysis was conducted on microbes, metabolic pathways, and blood test indicators. In addition, a model was developed based on medical records and radiomic features using machine learning algorithms.ResultsThe results of α-diversity and β-diversity analyses showed that the microbial diversity of sepsis group was significantly higher than that of normal group (p &lt; 0.05). The top 10 microbial abundances in the sepsis and normal groups were Vitis vinifera, Mycobacterium canettii, Solanum pennellii, Ralstonia insidiosa, Ananas comosus, Moraxella osloensis, Escherichia coli, Staphylococcus hominis, Camelina sativa, and Cutibacterium acnes. The enriched metabolic pathways mainly included Protein families: genetic information processing, Translation, Protein families: signaling and cellular processes, and Unclassified: genetic information processing. The correlation analysis revealed a significant positive correlation (p &lt; 0.05) between IL-6 and Membrane transport. Metabolism of other amino acids showed a significant positive correlation (p &lt; 0.05) with Cutibacterium acnes, Ralstonia insidiosa, Moraxella osloensis, and Staphylococcus hominis. Ananas comosus showed a significant positive correlation (p &lt; 0.05) with Poorly characterized and Unclassified: metabolism. Blood test-related indicators showed a significant negative correlation (p &lt; 0.05) with microorganisms. Logistic regression (LR) was used as the optimal model in six machine learning models based on medical records and radiomic features. The nomogram, calibration curves, and AUC values demonstrated that LR performed best for prediction.DiscussionThis study provides insights into the relationship between microbes, metabolic pathways, and blood test indicators in sepsis. The developed machine learning model shows potential for aiding in clinical diagnosis. However, further research is needed to validate and improve the model.
Prevalence of musculoskeletal pain among undergraduate students
Authors: Kandasamy Geetha , Almanasef Mona , Almeleebia Tahani , Orayj Khalid , Shorog Eman , Alshahrani Asma M. , Prabahar Kousalya , Veeramani Vinoth Prabhu , Amirthalingam Palanisamy , Alqifari Saleh F. , Alrashidi Fayez , Aldurum Muteb , Almutiri Faiz , Alzaidi Adel , Almutairi Fahad 
Published: September 2024

IntroductionMusculoskeletal disorders (MSDs) are rapidly rising in Saudi Arabia, reaching levels similar to those in the Western world. Hence, we aimed to assess the prevalence of neck, shoulder, and lower back pains (musculoskeletal pain, MSP) among students at King Khalid University in Abha, Saudi Arabia.MethodsThis cross-sectional study was conducted at King Khalid University in Abha, Saudi Arabia, from March 2023 to August 2023. Inclusion criteria were: university students aged 18 years and older of both sexes who agreed to participate in the study. The modified Nordic questionnaire was used, which comprised three parts.ResultsOut of 536 respondents, 337 were women and 199 were men. The average body mass index (BMI) of the study population was 25.3 ± 4.01. In total, 223 (41.60%) had a history of MSDs. Only 232 (43.28%) of the population did regular exercise. According to multiple logistic regression analysis, factors associated with MSDs are mobile device use (with both hands) with a large neck tilt below the horizon line position (OR = 2.276, CI 1.178–4.397, p = 0.014), family history of trauma (OR = 5.450, 95% CI 3.371–8.811, p = 0.000), family history of MSDs (OR = 4.241, 95% CI 2.296–7.835, p = 0.000), coffee consumption (OR = 1.967, CI 1.281–3.020, p = 0.002), and time spent on electronic devices: 1–3 h (OR = 0.252, 95% CI 0.124–0.511, p = 0.0001), 4–6 h (OR = 0.455, 95% CI 0.237–0.873, p = 0.018), and 6–9 h (OR = 0.348, 95% CI 0.184–0.660, p = 0.001).ConclusionThe present study concludes that MSP among university students is high. A history of trauma, a family history of MSDs, the hand and neck position when using electronic devices, the amount of time spent using them, and regular exercise are risk factors that are strongly associated with MSP. There is strong evidence to suggest that increasing physical activity plays a significant role in enhancing the functionality of the musculoskeletal (MSK) system and alleviating pain. It is recommended that universities implement educational programs to raise awareness and health screenings about the impact of device usage on MSK health and the benefits of regular exercise.
A bibliometric analysis of respiratory mechanics research related to acute respiratory distress syndrome from 1985 to 2023
Authors: Zhou Yi-Min , Tian Xiuli , Wang Yu-Mei , Wang Shuya , Yang Yan-Lin , Zhou Jian-Xin , Zhang Linlin 
Published: September 2024

BackgroundAcute respiratory distress syndrome (ARDS) is a severe condition characterized by lung stiffness and compromised gas exchange, often requiring mechanical ventilation for treatment. In addition to its clinical significance, understanding the publication trends and research patterns in respiratory mechanics related to ARDS can provide insights into the evolution of this field from a bibliometric perspective, aiding in strategic planning and resource allocation for future research endeavors.ObjectiveThis study aimed to explore the trends and identify the hotspots in respiratory mechanics research related to ARDS.MethodsAll relevant studies on respiratory mechanics of ARDS published between 1985 and 2023 were retrieved from the Web of Science Core Collection (WoSCC), and the retrieval strategy was topic search “TS = respiratory mechanics OR lung mechanics AND TS = ARDS OR acute respiratory distress syndrome.” Annual trends, citation patterns, and contributions from countries, institutions, authors, and journals were analyzed using Bibliometrix Biblioshiny. Networks and overlay of authors, institutions, countries, journals, co-citations, and keywords were analyzed and visualized using VOSviewer.ResultsOur analysis included 1,248 articles published between 1985 and 2023, revealing fluctuations in publication output over time. The United States emerged as the leading contributor, with Critical Care Medicine being the most prominent journal. Key research themes included mechanical ventilation, acute lung injury, and protective ventilation strategies. International collaboration was evident, facilitating knowledge exchange and interdisciplinary cooperation.ConclusionOur study sheds light on the evolving landscape of respiratory mechanics research in ARDS. International collaboration is pivotal in advancing the field, while researchers increasingly focus on personalized approaches to address the complexities of ARDS respiratory mechanics.
Exploration of the link between COVID-19 and gastric cancer from the perspective of bioinformatics and systems biology
Authors: Ma Xiao , Huang Tengda , Li Xiaoquan , Zhou Xinyi , Pan Hongyuan , Du Ao , Zeng Yong , Yuan Kefei , Wang Zhen 
Published: September 2024

BackgroundCoronavirus disease 2019 (COVID-19), an infectious disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has caused a global pandemic. Gastric cancer (GC) poses a great threat to people’s health, which is a high-risk factor for COVID-19. Previous studies have found some associations between GC and COVID-19, whereas the underlying molecular mechanisms are not well understood.MethodsWe employed bioinformatics and systems biology to explore these links between GC and COVID-19. Gene expression profiles of COVID-19 (GSE196822) and GC (GSE179252) were obtained from the Gene Expression Omnibus (GEO) database. After identifying the shared differentially expressed genes (DEGs) for GC and COVID-19, functional annotation, protein-protein interaction (PPI) network, hub genes, transcriptional regulatory networks and candidate drugs were analyzed.ResultsWe identified 209 shared DEGs between COVID-19 and GC. Functional analyses highlighted immune-related pathways as key players in both diseases. Ten hub genes (CDK1, KIF20A, TPX2, UBE2C, HJURP, CENPA, PLK1, MKI67, IFI6, IFIT2) were identified. The transcription factor/gene and miRNA/gene interaction networks identified 38 transcription factors (TFs) and 234 miRNAs. More importantly, we identified ten potential therapeutic agents, including ciclopirox, resveratrol, etoposide, methotrexate, trifluridine, enterolactone, troglitazone, calcitriol, dasatinib and deferoxamine, some of which have been reported to improve and treat GC and COVID-19.ConclusionThis research offer valuable insights into the molecular interplay between COVID-19 and GC, potentially guiding future therapeutic strategies.
Diagnostic values of BALF metagenomic next-generation sequencing, BALF real-time PCR and serum BDG for Pneumocystis jirovecii pneumonia in HIV-infected patients
Authors: Chen Qianhui , Chen Xiaoping , Mo Pingzheng , Chen Liangjun , Du Qian , Hu Wenjia , Jiang Qunqun , Zhang Zhongwei , Zhang Yongxi , Guo Qinglian , Xiong Yong , Deng Liping 
Published: September 2024

IntroductionThis study aimed to assess the diagnostic values of bronchoalveolar lavage fluid (BALF) real-time polymerase chain reaction (PCR) and BALF metagenomic next-generation sequencing (mNGS) for Pneumocystis jirovecii pneumonia (PJP) in patients infected with human immunodeficiency virus (HIV).MethodsA total of 99 HIV-infected PJP patients and 61 HIV-infected patients diagnosed with non-PJP pneumonia between March 2019 and December 2022 were enrolled. P. jirovecii and multiple other co-pathogens detected in BALF by mNGS were analyzed. The clinical final diagnosis was employed as a benchmark. We compared the diagnostic performance of mNGS in PJP with serum BDG and BALF real-time PCR. The mixed infections detected by mNGS and modifications of antimicrobial treatment were also analyzed.ResultsThe sensitivity of mNGS test of BALF samples reached 85.86%, which was significantly higher than serum BDG (39.39%, P &lt; 0.001). The sensitivity of BALF P. jirovecii PCR (84.85%) was similar with mNGS (P &gt; 0.05). The specificity of mNGS (100%) was also same as PCR (100.0%), and superior to serum BDG (88.52%, P &lt; 0.001). Besides, mNGS performs remarkably well in identifying co-pathogens of PJP patients infected with HIV. In addition to P. jirovecii, 82 cases (82.83%) of other co-pathogens were identified based on mNGS. Moreover, thirty-four patients (34.34%) increased therapeutic dose of trimethoprim-sulfamethoxazole (TMP-SMZ) based on BALF P. jirovecii PCR. Based on the mNGS results, initial antimicrobial treatment was modified in 86.87% (86/99) of PJP patients.ConclusionBALF mNGS and real-time PCR are two powerful techniques for rapid diagnosis of PJP with high specificity and sensitivity. Moreover, the benefit of mNGS is that it may identify other organisms besides PJP and it may benefit proper and prompt treatment.