The metabolic vulnerability index as a novel tool for mortality risk stratification in a large-scale population-based cohort.

Metabolic malnutrition and inflammation-key mechanism links to redox imbalance-are fundamental pathologies that accelerate aging and disease progression, ultimately leading to death. The recently proposed metabolic vulnerability index (MVX) integrates multiple circulatory biomarkers closely linked to both metabolic and inflammatory factors. This study aims to assess MVX's potential to predict mortality in community-based population.

The trend in incidence of non-alcoholic fatty liver disease and its impact on cirrhosis and liver cancer: An analysis from Global Burden of Disease 2021.

Objectives: We aimed to recognize the burden of NAFLD and support public health policy development for its prevention and management.

Study Design: A cross-sectional analysis of GBD 2021 results was conducted.

Methods: We collected incidence data on NAFLD from 1990 to 2021 using Global Burden of Disease Study in 2021.

Steatotic Liver Disease Prevalence in China: A Population-Based Study and Meta-Analysis of 17.4 Million Individuals.

Background: Steatotic liver disease (SLD), including metabolic dysfunction-associated SLD (MASLD), has emerged as a leading cause of chronic liver disease in China.

Aims: We aimed to provide a comprehensive and updated description of SLD prevalence in China.

Methods: We described the prevalence, subgroup distribution, and clinical characteristics of SLD in the Taizhou Study of Liver Diseases (T-SOLID).

3D facial imaging: a novel approach for metabolic abnormalities risk profiling.

The human face harbors a rich tapestry of complex phenotypic information spanning genetic, environmental, and physiological dimensions. While facial images excel in diagnosing genetic diseases, their untapped potential for predicting metabolic health presents an intriguing prospect. Metabolic Syndrome (MetS), marked by a constellation of metabolic abnormalities, poses a significant risk for various chronic diseases.

Spatiotemporal Correlation Analysis for the Incidence of Esophageal and Gastric Cancer From 2010 to 2019: Ecological Study.

Background: Esophageal and gastric cancer were among the top 10 most common cancers worldwide. In addition, sex-specific differences were observed in the incidence. Due to their anatomic proximity, the 2 cancers have both different but also shared risk factors and epidemiological features.

Prospective Investigation Unravels Plasma Proteomic Links to Dementia.

Investigating plasma proteomic signatures of dementia offers insights into its pathology, aids biomarker discovery, supports disease monitoring, and informs drug development. Here, we analyzed data from 48,367 UK Biobank participants with proteomic profiling. Using Cox and generalized linear models, we examined the longitudinal associations between proteomic signatures and dementia-related phenotypes.

Genetic risk amplifies lifestyle effects on hepatic steatosis and its progression: Insights from a population-based cohort.

Background: Steatotic liver disease (SLD) is influenced by both genetics and lifestyle factors, with lifestyle effects varying by genetic susceptibility. We aimed to evaluate gene-lifestyle interactions on SLD risk.

Methods: We included 28,215 UK Biobank participants with available data.

Association between red blood cell distribution width and genetic risk in patients with rheumatoid arthritis: a prospective cohort study and Mendelian randomization analysis.

Objective: Elevated red blood cell distribution width (RDW) is associated with increased risk of rheumatoid arthritis (RA), but the potential interactions of RDW with genetic risk of incident RA remain unclear. This study aimed to investigate the associations between RDW, genetics, and the risk of developing RA.

Methods: We analysed data from 145,025 healthy participants at baseline in the UK Biobank.

Shared genetic factors and the interactions with fresh fruit intake contributes to four types squamous cell carcinomas.

Studies have reported risk factors for a single-squamous cell carcinoma(Single-SCCs). However, the shared common germline genetic factors and environmental factors have not been well elucidated with respect to augmented risk of pan-squamous cell carcinoma(Pan-SCCs). By integrating a large-scale genotype data of 1,928 Pan-SCCs cases and 7,712 age- and sex-matched controls in the UK Biobank cohort, as well as multiple transcriptome and protein databases, we conducted a multi-omics analysis.

Attenuated sex-related DNA methylation differences in cancer highlight the magnitude bias mediating existing disparities.

Background: DNA methylation (DNAm) influences both sex differences and cancer development, yet the mechanisms connecting these factors remain unclear.

Methods: Utilizing data from The Cancer Genome Atlas, we conducted a comprehensive analysis of sex-related DNAm effects in nine non-reproductive cancers, compared to paired normal adjacent tissues (NATs), and validated the results using independent datasets. First, we assessed the extent of sex differential DNAm between cancers and NATs to explore how sex-related DNAm differences change in cancerous tissues.

Association between physical activity-related metabolic signature and cardiometabolic diseases and multimorbidity: A cohort study from UK biobank.

Objective: Physical activity has protective effects on cardiometabolic diseases (CMDs), but the role of metabolism related to physical activity in this process is unclear.

Methods: In the prospective cohort study from UK Biobank between 2006 and 2022, participants free of CMDs at baseline were included (n = 73,990). We identified physical activity-related metabolites and constructed metabolic signature using linear regression and elastic net regression.

Changes in Cardiovascular Health, Genetic Risk, and Cardiometabolic Diseases: Evidence From a Large-Scale Cohort Study.

Background: Evidence has firmly established the association between superior cardiovascular health (CVH) and reduced susceptibility to cardiometabolic diseases (CMDs). In reality, CVH experiences dynamic fluctuations throughout individuals' lifespans. However, the association between changes in CVH and the impact on CMDs among individuals with different genetic risks remains unclear.

Lipoprotein (a) in the Full Spectrum of Metabolic Dysfunction-associated Steatotic Liver Disease: Evidence From Histologically and Genetically Characterized Cohorts.

Background & Aims: Lipoprotein(a) (Lp(a)) is an emerging biomarker for cardiometabolic factors. We studied the role of Lp(a) in the full spectrum of metabolic dysfunction-associated steatotic liver disease (MASLD).

Methods: Three independent analyses were implemented using a multi-center, cross-sectional, liver biopsy-based study (n = 332) (Study 1) and the UK Biobank prospective study (n = 270,004) (Study 2; median follow-up, 12.

Couple depression concordance and adverse health outcomes among middle-aged and older adults: A longitudinal study in China.

Objectives: Little is known about the interactive patterns of depressive symptoms and the consequent joint health burden in couples. This study aimed to evaluate the impacts of couple depression concordance on activities of daily living (ADL) disability, instrumental ADL (IADL) disability, hospitalization, and all-cause mortality among middle-aged and older couples.

Study Design: This study used a longitudinal research design.

A methylation panel of 10 CpGs for accurate age inference via stepwise conditional epigenome-wide association study.

Estimating individual age from DNA methylation at age associated CpG sites may provide key information facilitating forensic investigations. Systematic marker screening and feature selection play a critical role in ensuring the performance of the final prediction model. In the discovery stage, we screened for 811876 CpGs from whole blood of 2664 Chinese individuals ranging from 18 to 83 years of age based on a stepwise conditional epigenome-wide association study (SCEWAS).

Global, regional, and national epidemiology of hepatoblastoma in children from 1990 to 2021: a trend analysis.

Background And Purpose: Hepatoblastoma is the most common primary liver cancer in children, yet comprehensive understanding of its epidemiology is limited globally. We aimed to estimate the global trend of hepatoblastoma in children from 1990 to 2021.

Methods: We collected data on hepatoblastoma in children aged 0 to 10 years from 1990 to 2021, derived from Global Burden of Disease (GBD) 2021.

Plasma proteomic profiles reveal proteins and three characteristic patterns associated with osteoporosis: A prospective cohort study.

Introduction: Exploration of plasma proteins associated with osteoporosis can offer insights into its pathological development, identify novel biomarkers for screening high-risk populations, and facilitate the discovery of effective therapeutic targets.

Objectives: The present study aimed to identify potential proteins associated with osteoporosis and to explore the underlying mechanisms from a proteomic perspective.

Methods: The study included 42,325 participants without osteoporosis in the UK Biobank (UKB), of whom 1,477 developed osteoporosis during the follow-up.

Plasma proteomics-based organ-specific aging for all-cause mortality and cause-specific mortality: a prospective cohort study.

Individual's aging rates vary across organs. However, there are few methods for assessing aging at organ levels and whether they contribute differently to mortalities remains unknown. We analyzed data from 45,821 adults in the UK Biobank, using plasma proteomics and machine learning to estimate biological ages for 12 major organs.

Chromatin interaction maps identify oncogenic targets of enhancer duplications in cancer.

As a major type of structural variants, tandem duplication plays a critical role in tumorigenesis by increasing oncogene dosage. Recent work has revealed that noncoding enhancers are also affected by duplications leading to the activation of oncogenes that are inside or outside of the duplicated regions. However, the prevalence of enhancer duplication and the identity of their target genes remains largely unknown in the cancer genome.