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, Год журнала: 2024, Номер 36(1)

Опубликована: Дек. 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.

Язык: Английский

GDF‐15 is associated with sarcopenia and frailty in acutely admitted older medical patients DOI Creative Commons
Rikke S. Kamper, Hanne Nygaard,

Louis Praeger‐Jahnsen

и другие.

Journal of Cachexia Sarcopenia and Muscle, Год журнала: 2024, Номер 15(4), С. 1549 - 1557

Опубликована: Июнь 18, 2024

Growth differentiation factor-15 (GDF-15) has been associated with senescence, lower muscle strength, and physical performance in healthy older people. Still, it is not clear whether GDF-15 can be utilized as a biomarker of sarcopenia frailty the early stages hospitalization. We investigated association plasma older, acutely admitted medical patients.

Язык: Английский

Процитировано

4
Frailty in patients with atrial fibrillation: diagnosis, management, prevention and influence on prognosis DOI Open Access
Е. С. Кропачева,

M. I. Dashaeva,

Е. П. Панченко

и другие.

Russian Cardiology Bulletin, Год журнала: 2025, Номер 20(1), С. 5 - 5

Опубликована: Апрель 14, 2025

The review is devoted to frailty in patients with atrial fibrillation (AF). number of elderly AF constantly increasing, and this category characterized by high incidence stroke bleeding. Frailty a key geriatric syndrome. Research extremely important, since involutional processes cardiovascular system, brain, kidneys gastrointestinal tract cause metabolism anticoagulants increase the risk thromboembolic hemorrhagic complications. highlights tools, scales questionnaires for assessing diseases. In addition, some biomarkers related syndromes are described. Data on negative impact prognosis presented, measures prevent its progression outlined. These data indicate need introduce tools into interdisciplinary approach. This can delay loss working capacity, improve quality life outcomes senile AF.

Язык: Английский

Процитировано

0
Global and tissue-specific transcriptomic dysregulation in human aging: Pathways and predictive biomarkers DOI Creative Commons
Muhammad Arif, Andrea Ceglédi,

György Haskó

и другие.

GeroScience, Год журнала: 2025, Номер unknown

Опубликована: Апрель 28, 2025

Abstract Aging is a universal biological process that impacts all tissues, leading to functional decline and increased susceptibility age-related diseases, particularly cardiometabolic disorders. While aging characterized by hallmarks such as mitochondrial dysfunction, chronic inflammation, dysregulated metabolism, the molecular mechanisms driving these processes remain incompletely understood, in tissue-specific context. To address this gap, we conducted comprehensive transcriptomic analysis across 40 human tissues using data from Genotype-Tissue Expression (GTEx) project, comparing individuals younger than years with those older 65 years. We identified over 17,000 differentially expressed genes (DEGs) distinct patterns of up- down-regulation. Enrichment analyses revealed up-regulated DEGs were associated immune responses, apoptosis, while down-regulated linked function, oxidative phosphorylation, metabolic processes. Using gene co-expression network (GCN) analyses, 1,099 nodes (DNs) shared reflecting global aging-associated transcriptional shifts. Integrating machine learning approaches, pinpointed key biomarkers, including GDF15 EDA2R, which demonstrated strong predictive power for relevant heart, liver, skeletal muscle, adipose tissue. These also validated plasma proteomics studies exhibited significant correlations clinical health indicators. This study provides multi-tissue, integrative perspective on aging, uncovering both systemic signatures. Our findings advance understanding underpinnings identify novel biomarkers may serve therapeutic targets promoting healthy mitigating diseases.

Язык: Английский

Процитировано

0
GDF15 is still a mystery hormone DOI
Casper M. Sigvardsen, Michael M. Richter, Sarah Engelbeen

и другие.

Trends in Endocrinology and Metabolism, Год журнала: 2024, Номер unknown

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

2
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, Год журнала: 2024, Номер 36(1)

Опубликована: Дек. 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.

Язык: Английский

Процитировано

0