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An ageing biomarker signature predicts chronic disease cluster trajectories, physical function and mortality: validation in the TILDA and HRS cohorts

delete2026-05-20
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OA
AI
B
Belinda Hernández *
E
Eric Klopack
F
Frank Moriarty
P
Padraic Fallon
N
Nollaig Bourke
E
Eileen Crimmins
R
Rose-Anne Kenny
C
Cathal Mc Crory
A
Aisling O'Halloran
DOI:10.1093/ageing/afag135delete
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Abstract

Abstract

En 中文
Global population ageing is progressing at an unprecedented rate. Early identification of subpopulations at risk of chronic diseases could mitigate deteriorating health and increasing health service use, while revealing key biological cues and therapeutic targets. We hypothesised that a multisystem biomarker signature could identify future chronic disease trajectories, multimorbidity, functional decline and mortality.
Keywords:
biomarker signature
chronic disease trajectories
multimorbidity
physical function
mortality

Journal

Age and Ageing cover
Age and Ageing
IF:
7.1
Papers:
9.5K
Citations:
2.1W

Organization

R
rcsi university of medicine and health sciences
Scholars:
224
Papers: 96
Citations: 0
U
university of southern california
Scholars:
4.6W
Papers: 3.8W
Citations: 51
T
the national center for pharmacoeconomics
Scholars:
1
Papers: 1
Citations: 0
U
university of dublin trinity college
Scholars:
3
Papers: 3
Citations: 0
T
Trinity College Dublin
Scholars:
2.3W
Papers: 1.9W
Citations: 2.7W
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