Dietary Omega-3 intake may slow prostate cancer progression and reduce mortality risk: evidence from prostate, lung, colorectal, and ovarian cancer screening trial.

Background: Prostate cancer is the second most prevalent malignant cancer globally and the fifth leading cause of cancer-related mortality. Omega-3 PUFAs [including eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA)] may mitigate prostate cancer risk through various molecular mechanisms, such as inhibiting pro-inflammatory eicosanoid production via COX-2 pathway, regulating apoptosis and autophagy, and potentially influencing other signaling pathways like NF-κB. However, existing studies have reported inconsistent findings regarding the effects of Omega-3 fatty acids on prostate cancer, and there is limited large-scale longitudinal data exploring the dose-response relationship.

A rapid-release pure iodine coating on titanium implants to mitigate acute periprosthetic infections.

Background: Periprosthetic infections remain a significant challenge in orthopedic surgeries, primarily due to bacterial biofilm formation on implant surfaces. To address this issue, we developed a novel iodine-based coating on titanium implants designed to rapidly release iodine, thereby preventing acute infections. The efficacy and safety of this coating were assessed through both experiments and an rabbit model.

Identification of optimal cutoffs for obesity and lipid-related indices in screening activities of daily living disability in Chinese middle-aged and elderly adults.

Objective: The aim of this study was to investigate the efficacy of 13 obesity- and lipid-related indices in screening and predicting activities of daily living (ADL) disability, as well as to determine the optimal cutoffs for these indices in the middle-aged and elderly population in China.

Methods: This study was based on cross-sectional data from the China Health and Retirement Longitudinal Study (CHARLS), which included 4,784 participants aged 45 years and older. Thirteen obesity- and lipid-related indices, including body mass index (BMI), waist circumference (WC), the waist-height ratio (WHtR), the visceral adiposity index (VAI), the body shape index (ABSI), the body roundness index (BRI), the lipid accumulation product (LAP), the conicity index (CI), the Chinese visceral adiposity index (CVAI), the triglyceride-glucose (TyG) index and its correlation index (TyG-BMI, TyG-WC, TyG-WHtR), were analyzed.

Evaluation of sleep quality and influencing factors among medical and non-medical students using machine learning techniques in Fujian during the public health emergencies.

Background: The COVID-19 pandemic has significantly affected the sleep quality of medical and non-medical students, yet the influencing factors remain unclear. Objective: This study aimed to assess sleep quality of 20,645 full-time undergraduate and graduate students aged between 17-35 years old in Fujian Province who were enrolled in universities and colleges in the province and to explore key influencing factors while establishing predictive models.

Methods: A cross-sectional survey was conducted using an online questionnaire from April 5 to 16, 2022, employing demographic survey components, coffee use, internet use, psychological factors and the Pittsburgh Sleep Quality Index (PSQI).

Global, regional, and national burden of bipolar disorder, 1990-2021: Analysis of data from the global burden of disease study 2021.

Background: Bipolar disorder is a chronic psychiatric condition characterised by recurrent episodes of mania and depression.

Methods: Our study analyzed the data from the Global Burden of Disease (GBD) study, covering the years 1990 to 2021. This dataset includes key metrics such as incidence, prevalence, disability-adjusted life years (DALYs), years lived with disability (YLDs), and age-standardized rates.

Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation.

Background: Sleep disturbance has become a significant concern among college students, as it can lead to various mental and physical disorders. This study aims to provide a fresh perspective by developing and validating a predictive model for sleep quality among college students.

Methods: Data from 20,645 college students in Fujian Province, China, collected between 5th April and 16th April 2022, were analyzed.

Risk factors associated with secondary displacement in fractures of the humeral greater tuberosity.

Background: The incidence of secondary displacement in fractures of the greater tuberosity of the humerus remains high, irrespective of whether conservative or surgical treatment is administered. However, the specific risk factors contributing to secondary displacement of the greater tuberosity of the humerus have not been previously reported. The primary objective of this study was to analyze the risk factors associated with secondary displacement of the greater tuberosity of the humerus and to summarize corresponding guidelines for clinical diagnosis and treatment.

Tracking the evolution of serum antibody levels and influencing factors post-SARS-CoV-2 infection among community residents in Fuzhou City.

Objective: To track the level of serum antibodies in Fuzhou residents and analyze the possible influencing factors of serum antibodies, so as to provide a scientific basis for the adjustment of population immunity and prevention and control strategies.

Methods: Residents in the Fuzhou community who had symptoms of covid-19 infection or who had tested positive for nucleic acid or antigen since December 2022 were selected for the questionnaire survey and their sera were collected to analyze the trend of antibody changes, the antibody level was divided into high antibody group and low antibody group according to the literature data. The possible influencing factors of serum antibody level was analyzed by multivariate logistic regression model.

Prediction models for sleep quality among frontline medical personnel during the COVID-19 pandemic: cross-sectional study based on internet new media.

Background: The factors associated with sleep quality among medical personnel providing support on the frontline during the height of the COVID-19 pandemic remain unclear, and appropriate predictive and screening tools are lacking. This study was designed and conducted to investigate whether factors such as weight change, job title, and tea consumption influence the sleep quality of these workers. Additionally, the study aims to develop predictive models to analyze the sleep problems experienced by healthcare workers during periods of epidemic instability, and to provide relevant data and tools to support effective intervention and prevention strategies.

Understanding the complex network of anxiety, depression, sleep problems, and smartphone addiction among college art students using network analysis.

Background: This study employs a network analysis approach to explore the interconnections between anxiety, depression, and sleep problems and smartphone addiction among college students using network analysis, offering a new perspective on these prevalent mental health issues.

Methods: A cross-sectional study was conducted among art students at a public university in the province of Fujian, China. Data were collected using the Generalized Anxiety Disorder Scale-7, Patient Health Questionnaire-9, Pittsburgh Sleep Quality Index, and Mobile Phone Addiction Index.

Comparative analysis of epidemiological and Spatiotemporal patterns in seasonal influenza and COVID-19 outbreaks.

The aim of this study was to gain insights into the epidemiology, spatial trends, spatial structure evolution, and spatiotemporal aggregation characteristics of influenza epidemics during seasonal influenza and COVID-19 pandemic in Fuzhou from 2013 to 2022. Utilizing influenza case report data from Fuzhou spanning 2013 to 2022, we applied descriptive epidemiological methods to analyze the epidemiological characteristics and distribution patterns of reported influenza cases across various time periods, populations, and regions. Furthermore, we employed trend-surface analysis, kernel density estimation, and space-time scanning statistics to investigate the evolution of spatial trends, changes in spatial structure, and the spatiotemporal aggregation characteristics of the reported influenza incidence rate at the county level.

FEN1-assisted LAMP for specific and multiplex detection of pathogens associated with community-acquired pneumonia.

Lower respiratory tract infections (LRITs), including community-acquired pneumonia (CAP), are the fifth leading cause of death worldwide over the last ten years, posing a serious threat to global healthcare. Conventional laboratory assays for detecting pathogens are hindered by complicated procedures, a long turnaround time and a lack of multiplex detection capabilities. In this study, a flap-endonuclease 1 (FEN1)-assisted loop-mediated isothermal amplification (LAMP) method was designed, and an assay based on this method was developed to identify three leading pathogens for CAP, namely, , and .

Bacteriophage therapy for multidrug-resistant infections: current technologies and therapeutic approaches.

Bacteriophage (phage) therapy has emerged as a promising solution to combat the growing crisis of multidrug-resistant (MDR) infections. There are several international centers actively engaged in implementation of phage therapy, and recent case series have reported encouraging success rates in patients receiving personalized, compassionate phage therapy for difficult-to-treat infections. Nonetheless, substantial hurdles remain in the way of more widespread adoption and more consistent success.

Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.

Background: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep quality, the specific effects of containment measures on college students' sleep patterns remain understudied.

Objective: This study aimed to understand the sleep quality of college students in Fujian Province during the epidemic and determine sensitive variables, in order to develop an efficient prediction model for the early screening of sleep problems in college students.

Dual-functional probe for sensitive detection of MCF-7 cells and mendelian randomization analysis of MUC1 association with multiple cancers.

The present study successfully developed a method based on a dual-functional probe for detecting breast cancer cells MCF-7 by recognizing the MUC1 protein on the cell surface. This method integrated inductively coupled plasma mass spectrometry (ICP-MS) and fluorescence imaging technology, enhancing the sensitivity, specificity, and accuracy of breast cancer cell detection. Additionally, through two-sample Mendelian randomization (MR) analysis, we verified a potential correlation between breast cancer and MUC1 (P<0.

Evaluating the impact of ESICM 2023 guidelines and the new global definition of ARDS on clinical outcomes: insights from MIMIC-IV cohort data.

Background: In 2023, the European Society of Intensive Care Medicine (ESICM) recommended updated criteria for acute respiratory distress syndrome (ARDS). In 2024, Matthay et al. updated the global ARDS definition in AJRCCM, titled "A New Global Definition of Acute Respiratory Distress Syndrome.

Myeloperoxidase-mediated immature dendritic cell promotes vascular remodeling and functional placenta formation.

Introduction: The distribution of myeloperoxidase (MPO) and dendritic cells (DCs) in sponge trophoblast cells may contribute to the syncytialisation of trophoblast cells and the establishment of uterine placental circulation. Our previous series of studies have shown that MPO plays an important role in angiogenesis and repair, and placental vascular dysfunction can lead to serious pregnancy complications and even miscarriage.

Methods: Mouse model of MPO knockout was constructed, and the crosstalk between MPO and dendritic cells (DC) cells was investigated to determine whether MPO is involved in the pregnancy process.

Treatment of lumbar spondylolysis in young adults using modified intravertebral screw-rod fixation system for single vertebral body combined with autologous cancellous bone graft: a technical note and preliminary report.

Background: There is currently no consensus on the surgical treatment of lumbar spondylolysis in young adults, and the nonunion rate remains relatively high even after surgery. Therefore, in this study, we proposed a modified intravertebral screw-rod fixation technique within a single vertebral segment and investigated the clinical efficacy of this modified fixation system combined with autologous cancellous bone grafting in the treatment of lumbar spondylolysis in young adults.

Methods: This study included 28 young adults with lumbar spondylolysis who were treated at our center between 2021 and 2023.

A blueprint for broadly effective bacteriophage-antibiotic cocktails against bacterial infections.

Bacteriophage (phage) therapy is a promising therapeutic modality for multidrug-resistant bacterial infections, but its application is mainly limited to personalized therapy due to the narrow host range of individual phages. While phage cocktails targeting all possible bacterial receptors could theoretically confer broad coverage, the extensive diversity of bacteria and the complexity of phage-phage interactions render this approach challenging. Here, using screening protocols for identifying "complementarity groups" of phages using non-redundant receptors, we generate effective, broad-range phage cocktails that prevent the emergence of bacterial resistance.

Exploring the influence of environmental indicators and forecasting influenza incidence using ARIMAX models.

Background: Influenza is a respiratory infection that poses a significant health burden worldwide. Environmental indicators, such as air pollutants and meteorological factors, play a role in the onset and propagation of influenza. Accurate predictions of influenza incidence and understanding the factors influencing it are crucial for public health interventions.

Causal relationship between green tea intake and gastrointestinal disorders: a two-sample Mendelian randomization study.

Background: The precise association between green tea intake and gastrointestinal disorders remains controversial. This study aimed to investigate the potential causal association between green tea intake and gastrointestinal disorders through a two-sample Mendelian randomization (MR) study.

Methods: Utilizing publicly accessible data from genome-wide association studies (GWAS), we identified SNPs strongly linked with the study variables from multiple large databases to serve as instrumental variables (IVs).

Enhanced machine learning approaches for OSA patient screening: model development and validation study.

Age, gender, body mass index (BMI), and mean heart rate during sleep were found to be risk factors for obstructive sleep apnea (OSA), and a variety of methods have been applied to predict the occurrence of OSA. This study aimed to develop and evaluate OSA prediction models using simple and accessible parameters, combined with multiple machine learning algorithms, and integrate them into a cloud-based mobile sleep medicine management platform for clinical use. The study data were obtained from the clinical records of 610 patients who underwent polysomnography (PSG) at the Sleep Medicine Center of the Second Affiliated Hospital of Fujian Medical University between January 2021 and December 2022.

Identification and experimental validation of programmed cell death- and mitochondria-associated biomarkers in osteoporosis and immune microenvironment.

Prior research has demonstrated that programmed cell death (PCD) and mitochondria assume pivotal roles in controlling cellular metabolism and maintaining bone cell equilibrium. Nonetheless, the comprehensive elucidation of their mode of operation in osteoporosis (OP) warrants further investigation. Therefore, this study aimed at analyzing the role of genes associated with PCD (PCD-RGs) and mitochondria (mortality factor-related genes; MRGs) in OP.