Genome wide analysis of the sox32 gene in germline maintenance and differentiation in leopard coral grouper (Plectropomus leopardus).

The Sox family genes, as a group of transcription factors, are widely expressed in vertebrates and play a critical role in reproduction and development. The present study reported that 26 sox genes were identified from the genome and transcriptome of P. leopardus.

Driver's journey from historical traffic violations to future accidents: A China case based on multilayer complex network approach.

Traffic violation records serve as key indicators for predicting drivers' future accidents. However, beyond statistical correlations, the underlying mechanisms linking historical traffic violations to future accidents remain inadequately understood. This study introduces a research framework to address this gap: Using Propensity Score Matching and an adapted mutual information-based feature selection algorithm to precisely identify correlations and optimal time windows between drivers' historical traffic violations and future accidents.

The mediating effect of job burnout on perceived stress and presenteeism among geriatric caregivers in long-term care facilities.

This study aimed to explore the relationship between perceived stress and presenteeism among geriatric caregivers in long-term care facilities (LTCFs), as well as to examine the mediating role of job burnout. A total of 272 geriatric caregivers in LTCFs were recruited. A cross-sectional survey was conducted using Perceived Stress Scale-10 (PSS-10), Maslach Burnout Inventory-General Survey (MBI-GS) and the Stanford Presenteeism Scale-6 (SPS-6).

High-affinity ssDNA aptamer and chemiluminescent aptasensor for TIMP-1 detection in human serum.

TIMP-1 (Tissue Inhibitor of Metalloproteinases-1) is a protein involved in regulating extracellular matrix (ECM) degradation. It is recognized as a significant biomarker for cancer diagnosis. This study aimed to develop and characterize a single-stranded DNA (ssDNA) aptamer targeting human TIMP-1 protein with high affinity and specificity.

Effect of Estrogen Receptor on the Relationship Between HER2 Immunohistochemistry Score and Pathological Complete Response to Neoadjuvant Treatment in HER2-Positive Breast Cancer.

We aimed to investigate whether estrogen receptor (ER) status affects the predictive role of the human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) score on the efficacy of neoadjuvant treatment for HER2-positive breast cancer. This retrospective study comprised 167 individuals diagnosed with HER2-positive invasive breast cancer who had undergone neoadjuvant treatment and surgery. Uni- and multivariable logistic regression analyses were performed on the relationship between the HER2 IHC score and total pathological complete response (tpCR), breast pathological complete response (bpCR), or axillary partial response (apCR).

Is Insulin Resistance a High-Risk Factor for Postmenopausal Endometrial Cancer: Insights from the Triglyceride Glucose (TyG) Index and the Metabolic Score for Insulin Resistance (METS-IR).

Purpose: To evaluate the insulin resistance in patients with menopause who were newly diagnosed with endometrial cancer and its association with disease development.

Methods: The study included 356 patients with menopause who underwent hysteroscopy at Beijing Obstetrics and Gynecology Hospital between September 2013 and July 2018. Data on age, height, weight, menarche and menopausal age, pregnancies, births, and family history of tumors, hypertension, and diabetes were collected.

resistance in Hainan Province, China: investigating phenotypes and genotypes through whole-genome sequencing.

is increasingly resistant to antibiotics, significantly lowering eradication rates and posing a major public health challenge. This study investigated the distribution of antibiotic-resistant phenotypes and genotypes of in Hainan Province. It determined the minimum inhibitory concentrations (MICs) of six antibiotics using the E-test method and detected resistance genes via Sanger sequencing.

Conference 2024: Building an innovative scientific research ecosystem for microbiome and One Health.

The Conference 2024 provides a platform to promote the development of an innovative scientific research ecosystem for microbiome and One Health. The four key components - Technology, Research (Biology), Academic journals, and Social media - form a synergistic ecosystem. Advanced technologies drive biological research, which generates novel insights that are disseminated through academic journals.

A comprehensive immune repertoire signature distinguishes pulmonary infiltration in SARS-CoV-2 Omicron variant infection.

Introduction: The coronavirus disease 2019 (COVID-19) global pandemic has been the most severe public health emergency since 2019. Currently, the Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been the most dominant. The most prominent symptom of SARS-CoV-2 infection is respiratory.

Plaque Stabilization and Regression, from Mechanisms to Surveillance and Clinical Strategies.

With advances in therapies to reduce cardiovascular events and improvements in coronary imaging, an increasing number of clinical trials have demonstrated that treatments to reduce cardiovascular events in coronary artery disease are associated with favorable effects on atherosclerotic plaque size and characteristics. It has been observed that various drugs may induce plaque regression and enhance plaque stability after plaque formation. Numerous clinical trials have been conducted to verify the occurrence of plaque stabilization and regression and their beneficial effects on cardiovascular events.

Drug-Coated Balloons versus Drug-Eluting Stents for the Treatment of De Novo Coronary Artery Disease: A Meta-Analysis of Randomized Controlled Trials.

Background: Because of the limitations in new-generation drug-eluting stents (DES), treatments advocating for non-stents with a drug-coated balloon (DCB) is now of great interest. Here, we conducted a meta-analysis to testify whether a DCB was more effective and safer than a DES in treating de novo coronary artery disease (CAD).

Methods: We searched PubMed, Embase, Cochrane Library, and Web of Science to obtain high-quality trials comparing DCB with DES for the treatment of de novo CAD.

Association between body roundness index and female infertility: a cross-sectional study of NHANES 2013-2018.

Background: The use of visceral obesity as an indicator for predicting female infertility risk has not been well established. The body roundness index (BRI) is a novel, non-invasive indicator of visceral fat; however, previous reports have not addressed the relationship between the BRI and female infertility. This study sought to fill this research gap by investigating the association between the BRI and the risk of female infertility.

The Impact of COVID-19 Infection on Abdominal Aortic Aneurysms: Mechanisms and Clinical Implications.

The COVID-19 virus not only has significant pathogenicity but also influences the progression of many diseases, altering patient prognosis. Cardiovascular diseases, particularly aortic aneurysms, are among the most life-threatening conditions. COVID-19 infection is reported to accelerate the progression of abdominal aortic aneurysms (AAAs) and increase the risk of rupture; however, a comprehensive understanding of the underlying mechanisms remains elusive.

Identification of Endoplasmic Reticulum Stress-Related Biomarkers in Coronary Artery Disease.

Coronary artery disease (CAD) is caused by atherosclerotic lesions in the coronary vessels. Endoplasmic reticulum stress (ERS) acts in cardiovascular disease, and its role in CAD is not clear. A total of 13 differentially expressed ERS-related genes (DEERSRGs) in CAD were identified.

Application of the Left Ventricular Pressure-Strain Loop Technique in Monitoring Improvement Factors of Patients With Heart Failure Reduced Ejection Fraction.

The left ventricular pressure-strain loop (PSL) is a new technique based on ultrasound for noninvasive quantitative evaluation of global and local myocardial work (MW). This study is aimed at evaluating improvement factors of patients with heart failure (HF) reduced ejection fraction (HFrEF) using the PSL technique. A total of 88 patients with HF were enrolled in this study, which had ≤ 40% left ventricular ejection fraction (LVEF).

Comparative effectiveness of school-based obesity prevention programs for children and adolescents: a systematic review and network meta-analysis.

Introduction: While many randomized controlled trials (RCTs) have demonstrated the positive effects of school-based programs in reducing body fat among children and teenagers, there is no conclusive evidence to indicate that one approach is superior to another, largely due to the lack of direct and indirect comparisons. This study evaluated the relative effectiveness of various school-based obesity prevention initiatives in improving body mass index (BMI) among children and adolescents using network meta-analysis.

Methods: Searches included four databases focusing on articles published in English between the years 2002 and 2024.

Public health perspectives on green efficiency through smart cities, artificial intelligence for healthcare and low carbon building materials.

Introduction: Smart cities, artificial intelligence (AI) in healthcare, and low-carbon building materials are pivotal to public health, environmental sustainability, and green efficiency. Despite their critical importance, understanding public perceptions and attitudes toward these domains remains underexplored. Additionally, the effective use of advanced technologies like convolutional neural networks (CNN) in predicting and promoting low-carbon solutions in construction is gaining attention.

The impact of urban agglomeration planning on depression in older adults.

Introduction: The residential environment significantly impacts the mental health of older adults. Urban agglomeration planning, while fostering regional economic development, also influences the psychological well-being of this demographic.

Methods: This study investigates the effects of urban agglomeration planning on depression levels in older adults, utilizing cohort data from the China Health and Retirement Longitudinal Study (CHARLS) and the multi-temporal double-difference-in-differences (DID) model.

Application of machine learning for mass spectrometry-based multi-omics in thyroid diseases.

Thyroid diseases, including functional and neoplastic diseases, bring a huge burden to people's health. Therefore, a timely and accurate diagnosis is necessary. Mass spectrometry (MS) based multi-omics has become an effective strategy to reveal the complex biological mechanisms of thyroid diseases.