Evidence map›Paper›PMID 39825169›Full record

ArticleGeroScience2025

Characterizing biomarkers of ageing in Singaporeans: the ABIOS observational study protocol.

Jessica K Lu, Weilan Wang, Janjira Soh, Elena Sandalova, Zhi Meng Lim, Santosh Kumar Seetharaman, Jing-Dong Jackie Han, Desmond B Teo, Brian K Kennedy, Jorming Goh and 1 more

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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.

Jessica K LuCentre for Healthy Longevity, National University Health System, Singapore, Singapore.
Weilan WangCentre for Healthy Longevity, National University Health System, Singapore, Singapore.
Janjira SohCentre for Healthy Longevity, National University Health System, Singapore, Singapore.
Elena SandalovaHealthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Zhi Meng LimCentre for Healthy Longevity, National University Health System, Singapore, Singapore.
Santosh Kumar SeetharamanDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jing-Dong Jackie HanPeking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Center for Quantitative Biology (CQB), Peking University, Beijing, China.
Desmond B TeoDepartment of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Brian K KennedyCentre for Healthy Longevity, National University Health System, Singapore, Singapore.
Jorming GohCentre for Healthy Longevity, National University Health System, Singapore, Singapore.
Andrea B MaierHealthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore. a.b.maier@vu.nl.ORCID 0000-0001-7206-1724

Funding

Lien Foundation A-000-6347-00-00National University Health System (NUHS) A-000-2469-00-00
6 · The paper itself

Abstract

Ageing is the primary driver of age-associated chronic diseases and conditions. Asian populations have traditionally been underrepresented in studies understanding age-related diseases. Thus, the Ageing BIOmarker Study in Singaporeans (ABIOS) aims to characterise biomarkers of ageing in Singaporeans, exploring associations between molecular, physiological, and digital biomarkers of ageing. This is a single-centre, cross-sectional study that recruits healthy community-dwelling adults (≥ 21 years) from three different ethnic groups (Chinese, Malay, and Indian). Molecular biomarkers of ageing include multi-omics approaches, such as DNA methylation analysis and metabolic and inflammatory proteomic profiling in blood, saliva, and stool. Physiological biomarkers of ageing include bone density, body composition, skin autofluorescence, arterial stiffness, physical performance (e.g., muscle strength and flexibility), cognition, and nutritional status. Digital biomarkers of ageing include three-dimensional facial morphology and objectively measured physical activity. Additional measures, such as habitual physical activity, dietary patterns, and medical history, are also examined. The associations between the molecular, physiological, and digital phenotypes will be explored. This study is expected to generate a comprehensive profile of molecular, physiological, and digital biomarkers of ageing in Chinese, Malay, and Indian populations in Singapore. By integrating diverse age-related biomarkers, clinical indicators, and lifestyle factors, ABIOS will offer unique insights into the ageing process specific to Southeast Asian populations. These findings can help identify markers of biological ageing, uncover ethnic-specific patterns, and reveal modifiable lifestyle factors for healthier ageing. The results could inform evidence-based health policies, personalized interventions, and future cross-ethnic comparative studies to enhance understanding of ageing biology across diverse populations.

Indexed as

AgingBiomarkersAdultAgedCross-Sectional StudiesEthnicityFemaleHumansIndependent LivingMaleMiddle AgedSingaporeSoutheast Asian PeopleBiomarkersAgingBiological clocksBiomarkersDNA methylationGeroscience

Identifiers

PMID39825169
PMCPMC12181143

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Registered trials

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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.