Trends in the prevalence of steatotic liver disease among Chinese adults, 2015-2023: A nationwide cross-sectional study.

Background: Metabolic dysfunction-associated fatty liver disease and steatotic liver disease (SLD) have emerged as one of the fastest-growing liver complications over recent decades; this study evaluated trends in SLD prevalence among Chinese adults and its variation across demographic groups.

Methods: A multicenter, retrospective study analyzed health examination data from 600,536 Chinese adults across 10 provinces between 2015 and 2023. Participants (≥18 y) with complete data on age, sex, weight, waist circumference, ultrasound, and biochemical tests were included.

Family History of Hypertension Predicts Thyroid Cancer Risk in Women: A Population-Based Cross-Sectional Study With Integrative Machine Learning and Genomic Analyses.

Introduction: Thyroid cancer is one of the most common endocrine malignancies globally, with a markedly higher incidence in women. Although pregnancy-induced hypertension is recognized as a risk factor, the underlying mechanisms linking hypertension and thyroid cancer remain poorly understood. This study explores the gender-specific associations between family history of hypertension and thyroid cancer, integrating clinical characteristics with genetic insights.

Prediction of Insulin Resistance in Nondiabetic Population Using LightGBM and Cohort Validation of Its Clinical Value: Cross-Sectional and Retrospective Cohort Study.

Background: Insulin resistance (IR), a precursor to type 2 diabetes and a major risk factor for various chronic diseases, is becoming increasingly prevalent in China due to population aging and unhealthy lifestyles. Current methods like the gold-standard hyperinsulinemic-euglycemic clamp has limitations in practical application. The development of more convenient and efficient methods to predict and manage IR in nondiabetic populations will have prevention and control value.

Trends in lifestyle and mental health among 0.1 million Chinese: a longitudinal study pre- and post-COVID-19.

Background: To investigate the changes in lifestyle and mental conditions during the COVID-19 lockdown pre- and post-COVID-19 epidemic by analysing 0.1 million in the general population.

Methods: A questionnaire was used to collect demographic, lifestyle and mental condition information.

Genome-Wide Identification and Expression Assessment for the Gene Family Within Sweet Potato Under Phosphorus Deficiency Stress.

Hainan's unique climate significantly contributes to soil acidification, causing phosphorus fixation into insoluble compounds, leading to phosphorus deficiency and reduced yield in sweet potatoes. The family, a group of trans-membrane phosphate transporters, is crucial for phosphate transport, distribution, and homeostasis regulation. Two genes, and , were first identified in sweet potato, and a phylogenetic analysis of 46 species showed high conservation of the gene family throughout plant evolution.

Post-COVID-19 syndrome and low-grade inflammation: exploring gender and occupational inequalities in a retrospective cohort study.

Background: To investigate the association between post-coronavirus disease 2019 (COVID-19) syndrome (PCS) and chronic low-grade inflammation (LGI) in blood cells in 4108 mild COVID-19 patients.

Methods: The data were collected within 12-24 weeks before and 24 weeks after COVID-19 infection. The χ2 test was utilized to analyse the differences between two groups.

Comparative transcriptome and metabolome analysis of sweet potato ( (L.) Lam.) tuber development.

Introduction: Sweet potato is an important food, feed and industrial raw material, and its tubers are rich in starch, carotenoids and anthocyanins.

Methods: To elucidate the gene expression regulation and metabolic characteristics during the development of sweet potato tubers, transcriptomic and metabolomic analyses were performed on the tubers of three different sweet potato varieties at three developmental stages (70, 100, and 130 days (d)).

Results: RNA-seq analysis revealed that 16,303 differentially expressed genes (DEGs) were divided into 12 clusters according to their expression patterns, and the pathways of each cluster were annotated.

Comparative Transcriptomic Analysis and Candidate Gene Identification for Wild Rice (GZW) and Cultivated Rice (R998) Under Low-Temperature Stress.

Rice is a short-day thermophilic crop that originated from the low latitudes of the tropics and subtropics; it requires high temperatures for growth but is sensitive to low temperatures. Therefore, it is highly important to explore and analyze the molecular mechanism of cold tolerance in rice to expand rice planting areas. Here, we report a phenotypic evaluation based on low-temperature stress in indica rice (R998) and wild rice (GZW) and a comparative transcriptomic study conducted at six time points.

Multi-Omics Analysis Provides Insights into Green Soybean in Response to Cold Stress.

Green soybean ( (L.) Merrill) is a highly nutritious food that is a good source of protein and fiber. However, it is sensitive to low temperatures during the growing season, and enhancing cold tolerance has become a research hotspot for breeding improvement.

Genome-Wide Identification and Analysis of and Family Members in Sweet Potato: Response to Excessive Nitrogen Stress during Storage Root Formation.

(1) The development of sweet potato storage roots is impacted by nitrogen (N) levels, with excessive nitrogen often impeding development. Starch synthesis enzymes such as sucrose synthase (SUS) and ADP-glucose pyrophosphorylase (AGPase) are pivotal in this context. Although the effects of excessive nitrogen on the formation of sweet potato storage roots are well documented, the specific responses of and have not been extensively reported on.

A soybean bZIP transcription factor is involved in submergence resistance.

Although the functions of basic leucine zipper (bZIP) family transcription factors in the regulation of various abiotic stresses are beginning to be unveiled, the precise roles of bZIP proteins in plants coping with submergence stress remain unclear. Here we identified a bZIP gene GmbZIP71-4 from soybean, which localized in the nucleus. The GmbZIP71-4 over-expressed tabocco line showed reduced submergence resistance due to the decreased abscisic acid (ABA) content.

Optimal exercise combinations for patients with diabetes.

Objectives: Exercise is a key way to control the blood glucose, which can improve blood lipids and blood pressure, reduce glycated hemoglobin levels, and increase insulin sensitivity. It is of great significance for maintaining blood glucose homeostasis. This study aims to explore the optimal exercise combinations suitable for diabetic patients, and to provide scientific and effective personalized exercise guidance for diabetic patients.

Single-cell RNA sequencing reveals roles of unique retinal microglia types in early diabetic retinopathy.

Background: The pathophysiological mechanisms of diabetic retinopathy (DR), a blinding disease, are intricate. DR was thought to be a microvascular disease previously. However, growing studies have indicated that the retinal microglia-induced inflammation precedes microangiopathy.

Analysis of the epidemiological burden of age-related macular degeneration in China based on the data of global burden of disease.

Objectives: Age-related macular degeneration (AMD) is one of the 3 major eye diseases recognized by WHO to prevent blindness, and which is the main cause of irreversible visual impairment in the elderly. This study aims to analyze the disease epidemiological burden, and provide a theoretical foundation for the prevention and control of AMD in China based on the data in global burden of disease (GBD) 2019.

Methods: The prevalent cases/prevalence, disability-adjusted life year (DALYs)/DALY rate of AMD and socio-demographic index (SDI) for global and China were searched from the GBD 2019 database to analyze the epidemiological trend, age-period-gender trend of AMD in China from 1990 to 2019, and to evaluate the relations between the prevalence and SDI.

The grain yield regulator plays a dual role in latitudinal adaptation and cold tolerance during rice domestication.

Rice originated in tropical and subtropical regions and is distributed worldwide. Low temperature is one of the most critical abiotic stresses affecting grain yield and geographical distribution of rice. It is vital to elucidate the molecular mechanism of chilling tolerance in rice for ensuring cereals production.

The frequency of early age-related macular degeneration and its relationship with dietary pattern in Hunan, China: a cross-sectional study.

Purpose: To estimate the frequency of age-related macular degeneration (AMD) among people who underwent health examination in Hunan, China and to determine the relationship between dietary pattern and the risk of AMD.

Methods: The Questionnaire was used to collect dietary data from 56,775 study participants of ≥ 50 years old who underwent health examination at the Department of Health Management, the Third Xiangya Hospital of Central South University between January 2017 and December 2019. The diagnosis of AMD was based on the results of color fundus photography (CFP), spectral-domain optical coherence tomography (OCT) and multispectral imaging (MSI).

Small EPIDERMAL PATTERNING FACTOR-LIKE2 peptides regulate awn development in rice.

The EPIDERMAL PATTERNING FACTOR (EPF) and EPF-LIKE (EPFL) family of small secreted peptides act to regulate many aspects of plant growth and development; however, their functions are not widely characterized in rice (Oryza sativa). Here, we used clustered regularly interspaced short palindromic repeats (CRISPR/Cas9) technology to individually knockout each of 11 EPF/EPFL genes in the rice cultivar Kasalath. Loss of function of most OsEPF/EPFL genes generated no obvious phenotype alteration, while disruption of OsEPFL2 in Kasalath caused a short or no awn phenotype and reduced grain size.

Comparison Between Statistical Model and Machine Learning Methods for Predicting the Risk of Renal Function Decline Using Routine Clinical Data in Health Screening.

Purpose: Using machine learning method to predict and judge unknown data offers opportunity to improve accuracy by exploring complex interactions between risk factors. Therefore, we evaluate the performance of machine learning (ML) algorithms and to compare them with logistic regression for predicting the risk of renal function decline (RFD) using routine clinical data.

Patients And Methods: This retrospective cohort study includes datasets from 2166 subjects, aged 35-74 years old, provided by an adult health screening follow-up program between 2010 and 2020.

Comparative transcriptome and weighted correlation network analyses reveal candidate genes involved in chlorogenic acid biosynthesis in sweet potato.

Chlorogenic acids (CGAs) are important secondary metabolites produced in sweet potato. However, the mechanisms of their biosynthesis and regulation remain unclear. To identify potential genes involved in CGA biosynthesis, analysis of the dynamic changes in CGA components and RNA sequencing were performed on young leaves (YL), mature leaves (ML), young stems (YS), mature stems (MS) and storage roots (SR).

Receptor-selective interleukin-4 mutein attenuates laser-induced choroidal neovascularization through the regulation of macrophage polarization in mice.

Macrophage polarization has been recognized as an important inflammatory regulator in choroidal neovascularization (CNV). However, the mechanisms regulating macrophage activation and polarization, as well as their effects on angiogenesis and CNV, have not yet been elucidated. IL-4 is implicated in macrophage activation and exerts different functions in various diseases through several receptors.

Genome-wide characterization and expression analysis of soybean trihelix gene family.

Trihelix transcription factors play multiple roles in plant growth, development and various stress responses. In this study, we identified 71 trihelix family genes in the soybean genome. These trihelix genes were located at 19 out of 20 soybean chromosomes unevenly and were classified into six distinct subfamilies: GT-1, GT-2, GT, SIP1, SH4 and GT.

Identification of Genes/Proteins Related to Submergence Tolerance by Transcriptome and Proteome Analyses in Soybean.

Flooding can lead to yield reduction of soybean. Therefore, identification of flooding tolerance genes has great significance in production practice. In this study, Qihuang 34, a highly-resistant variety to flooding stress, was selected for submergence treatments.

Construction of a high-density genetic map and mapping of QTLs for soybean (Glycine max) agronomic and seed quality traits by specific length amplified fragment sequencing.

Background: Soybean is not only an important oil crop, but also an important source of edible protein and industrial raw material. Yield-traits and quality-traits are increasingly attracting the attention of breeders. Therefore, fine mapping the QTLs associated with yield-traits and quality-traits of soybean would be helpful for soybean breeders.