Association between DNA methylation predicted growth differentiation factor 15 and mortality: results from NHANES 1999–2002

Aging Clinical and Experimental Research, Journal Year: 2024, Volume and Issue: 36(1)

Published: Dec. 3, 2024

Abstract Background Growth differentiation factor 15 (GDF15) is a crucial biomarker in various physiological and pathological processes. While elevated GDF15 levels are linked to increased mortality risk, the role of DNA methylation (DNAm)-predicted predicting has not been extensively studied. The purpose study investigate association between DNAm-predicted all-cause cardiovascular disease (CVD) nationally representative cohort. Methods Data from NHANES 1999–2002 were analyzed. estimated using regression model. Weighted multivariate Cox regressions employed assess relationship outcomes. Restricted cubic splines used explore dose-response relationships, subgroup analyses conducted enhance result reliability. Results Higher significantly associated with risk (HR = 1.08, 95% CI: 1.02–1.15). Participants highest tertile showed higher 1.56, 1.16–2.10) 2.52-fold 2.52, 1.22–5.19). Kaplan-Meier curves revealed decreasing survival probability tertiles. spline analysis demonstrated non-linear mortality. positive correlation remained robust most subgroups. Conclusions independently predicts This persists across multiple models stratified subgroups, supporting GDF15’s value as for stratification. Future research should elucidate underlying biological mechanisms evaluate clinical utility guiding reduction interventions.

Language: Английский

Leveraging DNA methylation to create Epigenetic Biomarker Proxies that inform clinical care: A new framework for Precision Medicine

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 8, 2024

The lack of accurate, cost-effective, and clinically relevant biomarkers remains a major barrier to incorporating omic data into clinical practice. Previous studies have shown that DNA methylation algorithms utility as surrogate measures for selected proteins metabolites. We expand upon this work by creating DNAm surrogates, termed epigenetic biomarker proxies (EBPs), across laboratories, the metabolome, proteome. After screening >2,500 biomarkers, we trained tested 1,694 EBP models assessed their incident relationship with 12 chronic diseases mortality, followed up 15 years. observe broad relevance: 1) there are 1,292 4,863 FDR significant prevalent associations, respectively; 2) most these associations replicated when looking at lab-based counterpart, > 62% shared higher odds hazard ratios disease outcomes than respective observed measurements; 3) EBPs current biochemistries detect deviations from normal high sensitivity specificity. Longitudinal also demonstrate changes corresponding in counterparts. Using two cohorts 30,000 individuals, found validate healthy sick populations. While further study is needed, findings highlight potential implementing simple, low-cost, high-yield framework benefits medicine.

Language: Английский

Gompertz Law-Based Biological Age (GOLD BioAge): A Simple and Practical Measurement of Biological Aging to Capture Morbidity and Mortality Risks

Published: Jan. 1, 2024

Language: Английский