Evidence map›Paper›PMID 42481860›Full record

ArticleGeroScience2026

A metabolomic clock of population ageing: cross-cohort validation and associations with frailty and cognitive function.

Chung-Ho E Lau, Elena Chekmeneva, Rui Pinto, Aisling M O'Halloran, Daniel K H Chu, Abbas Dehghan, Ioanna Tzoulaki, Paul Elliott, Rose Anne Kenny, Cathal McCrory and 1 more

Abstract read
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In one paragraph

Article in GeroScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Chung-Ho E LauDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Elena ChekmenevaNational Phenome Centre and Imperial Clinical Phenotyping Centre, Section of Bioanalytical Chemistry, Department of Metabolism, Digestion and Reproduction, IRDB Building, Imperial College London, London, UK.
Rui PintoDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Aisling M O'HalloranSchool of Nursing and Midwifery, Trinity College Dublin, Dublin, Ireland.
Daniel K H ChuDepartment of Medical Gerontology, The Irish Longitudinal Study On Ageing (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Abbas DehghanDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Ioanna TzoulakiDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Paul ElliottDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Rose Anne KennyDepartment of Medical Gerontology, The Irish Longitudinal Study On Ageing (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Cathal McCroryDepartment of Medical Gerontology, The Irish Longitudinal Study On Ageing (TILDA), School of Medicine, Trinity College Dublin, Dublin, Ireland.
Oliver RobinsonDepartment of Epidemiology and Biostatistics, MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK. o.robinson@imperial.ac.uk.ORCID http://orcid.org/0000-0002-4735-0468

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the links between metabolism, ageing, and age-related phenotypes may clarify the role of ageing in disease onset and improve risk prediction. We conducted a cross-cohort assessment of biological age using broad-spectrum LC-MS metabolomics of 3,686 plasma samples in 2,295 participants, aged 20-89, from the UK Airwave study (N = 960) and the Irish Longitudinal Study of Ageing (N = 1,335). The nucleoside N

Indexed as

Ageing biologyAgeing epidemiologyCognitive declineLCMSMetabolismMetabolomicsPhenotypic ageing

Identifiers

PMID42481860

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.