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

Honglian Luo,

Yun Shen

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

Correction: Epigenetic patterns, accelerated biological aging, and enhanced epigenetic drift detected 6 months following COVID‑19 infection: insights from a genome‑wide DNA methylation study DOI Creative Commons
Luciano Calzari,

Davide Fernando Dragani,

Lucia Zanotti

et al.

Clinical Epigenetics, Journal Year: 2024, Volume and Issue: 16(1)

Published: Nov. 14, 2024

Language: Английский

Citations

1
The COVID-19 legacy: consequences for the human DNA methylome and therapeutic perspectives DOI Creative Commons
Carlo Gaetano, Sandra Atlante, Michela Gottardi Zamperla

et al.

GeroScience, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 5, 2024

Abstract The COVID-19 pandemic has left a lasting legacy on human health, extending beyond the acute phase of infection. This article explores evidence suggesting that SARS-CoV-2 infection can induce persistent epigenetic modifications, particularly in DNA methylation patterns, with potential long-term consequences for individuals’ health and aging trajectories. review discusses methylation-based biomarkers, such as clocks, to identify individuals at risk accelerated tailor personalized interventions. Integrating clock analysis into clinical management could mark new era treatment COVID-19, possibly helping clinicians understand patient susceptibility severe outcomes establish preventive strategies. Several valuable reviews address role epigenetics infectious diseases, including Sars-CoV-2 However, this provides an original overview current understanding dimensions offering insights implications pandemic. While acknowledging limitations data, we emphasize need future research unravel precise mechanisms underlying COVID-19-induced changes explore approaches target these modifications. Graphical Abstract: Impact landscape individual response Following infection, may develop either normal immune or aberrant one, cytokine storm. Both scenarios result long-lasting consequences, known “long COVID.” condition reshape by altering contributing “epigenetic drift.” drift, further influenced various factors, lead gene expression, functionality, disease susceptibility. One significant consequence drift is acceleration biological aging, which profoundly impact medical Created BioRender.com.

Language: Английский

Citations

0
Association between DNA methylation predicted growth differentiation factor 15 and mortality: results from NHANES 1999–2002 DOI Creative Commons

Honglian Luo,

Yun Shen

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

Citations

0