Association of DNA methylation-predicted growth differentiation factor 15 with all-cause mortality among older adults in the United States: A prospective cohort study of NHANES 1999 to 2002

Growth differentiation factor 15 (GDF15) serves as a prominent biomarker across multiple physiological and pathological processes. Increased levels of GDF15 are associated with elevated mortality risk. Nevertheless, the prognostic utility of DNA methylation (DNAm)-predicted GDF15 concentrations for mortality remains inadequately explored. Our study utilized a national cohort to examine the link between GDF15 levels predicted by DNAm and the risk of all-cause mortality. This study employed data from the National Health and Nutrition Examination Survey (NHANES) cycles spanning 1999 to 2002. A regression model was applied to derive DNA methylation (DNAm)-predicted GDF15 concentrations. To evaluate the association linking DNA methylation-predicted GDF15 levels to mortality, we conducted adjusted Cox proportional hazards regression modeling. Dose-response relationships were evaluated using restricted cubic splines (RCS), and subgroup analyses were carried out to strengthen the findings' robustness. Elevated levels of GDF15 predicted via DNA methylation exhibited a marked association with increased all-cause mortality risk (HR = 1.11, 95% CI = 1.05-1.18). Participants within the top tertile of epigenetically estimated GDF15 concentrations exhibited a considerably increased hazard of death (HR = 1.62, 95% CI = 1.27-2.08). Kaplan-Meier curves demonstrated gradually decreasing survival probabilities corresponding to higher epigenetically derived GDF15 levels. A nonlinear dose-response relationship between DNAm-inferred GDF15 concentrations and all-cause mortality was revealed by restricted cubic spline analysis. This positive relationship consistently maintained significance within every prespecified subgroup. Epigenetically estimated GDF15 levels represent an independent predictor of all-cause mortality. This association retains its significance in multiple analytical approaches and across various subpopulations, highlighting the potential of GDF15 as a biomarker for stratifying mortality risk. Future studies are needed to elucidate the biological mechanisms through which GDF15 operates and to evaluate its applicability in clinical settings for reducing mortality risk.

Authors

Institutions

Publication Details

Journal
Medicine
Published
2025-12-12
DOI
https://doi.org/10.1097/md.0000000000046578
Primary Topic
GDF15 and Related Biomarkers
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Association of DNA methylation-predicted growth differentiation factor 15 with all-cause mortality among older adults in the United States: A prospective cohort study of NHANES 1999 to 2002

Daofan Li, Mengting Zou, Suhong Wu
Medicine
GDF15 and Related Biomarkers
article

Association of DNA methylation-predicted growth differentiation factor 15 with all-cause mortality among older adults in the United States: A prospective cohort study of NHANES 1999 to 2002

Daofan Li, Mengting Zou, Suhong Wu
article en

Abstract

Growth differentiation factor 15 (GDF15) serves as a prominent biomarker across multiple physiological and pathological processes. Increased levels of GDF15 are associated with elevated mortality risk. Nevertheless, the prognostic utility of DNA methylation (DNAm)-predicted GDF15 concentrations for mortality remains inadequately explored. Our study utilized a national cohort to examine the link between GDF15 levels predicted by DNAm and the risk of all-cause mortality. This study employed data from the National Health and Nutrition Examination Survey (NHANES) cycles spanning 1999 to 2002. A regression model was applied to derive DNA methylation (DNAm)-predicted GDF15 concentrations. To evaluate the association linking DNA methylation-predicted GDF15 levels to mortality, we conducted adjusted Cox proportional hazards regression modeling. Dose-response relationships were evaluated using restricted cubic splines (RCS), and subgroup analyses were carried out to strengthen the findings' robustness. Elevated levels of GDF15 predicted via DNA methylation exhibited a marked association with increased all-cause mortality risk (HR = 1.11, 95% CI = 1.05-1.18). Participants within the top tertile of epigenetically estimated GDF15 concentrations exhibited a considerably increased hazard of death (HR = 1.62, 95% CI = 1.27-2.08). Kaplan-Meier curves demonstrated gradually decreasing survival probabilities corresponding to higher epigenetically derived GDF15 levels. A nonlinear dose-response relationship between DNAm-inferred GDF15 concentrations and all-cause mortality was revealed by restricted cubic spline analysis. This positive relationship consistently maintained significance within every prespecified subgroup. Epigenetically estimated GDF15 levels represent an independent predictor of all-cause mortality. This association retains its significance in multiple analytical approaches and across various subpopulations, highlighting the potential of GDF15 as a biomarker for stratifying mortality risk. Future studies are needed to elucidate the biological mechanisms through which GDF15 operates and to evaluate its applicability in clinical settings for reducing mortality risk.

MedicineVol. 104(50)
Zhongshan People's Hospital (CN)
Openalex Percentile: Top 43%
GDF15 and Related Biomarkers
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.