Evidence map›Paper›PMID 40813794›Full record

ArticleCommunications medicine2025

Data from multi-national aging cohorts show dysregulated metabolic pathways in people with physio-cognitive decline.

Yi-Long Huang, Wei-Ju Chang, Chao-Hsiung Lin, Shu Zhang, Yukiko Nishita, Rei Otsuka, Wei-Ju Lee, Chih-Kuang Liang, Ming-Yueh Chou, Li-Ning Peng and 3 more

Abstract read
In one paragraph

Article in Communications medicine, 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. A seven-year longitudinal study of the Alzheimer's disease blood metabolome.medRxiv : the preprint server for health sciences · 2025
    Article
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

13 authors.

Yi-Long HuangCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-0980-4828
Wei-Ju ChangCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chao-Hsiung LinCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Shu ZhangDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan.
Yukiko NishitaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan.
Rei OtsukaDepartment of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu City, Aichi, Japan.ORCID http://orcid.org/0000-0001-6184-570X
Wei-Ju LeeDepartment of Family Medicine, Taipei Veterans General Hospital Yuanshan Branch, Yi-Lan, Taiwan.ORCID http://orcid.org/0000-0003-4326-333X
Chih-Kuang LiangCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ming-Yueh ChouCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Li-Ning PengCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan. lining.peng@gmail.com.ORCID http://orcid.org/0000-0003-1308-9553
Hidenori AraiNational Center for Geriatrics and Gerontology, Obu City, Aichi, Japan.ORCID http://orcid.org/0000-0001-6747-8680
Luigi FerrucciLongitudinal Studies Section, National Institute on Aging, Baltimore, Maryland, USA.
Liang-Kung ChenCenter for Healthy Longevity and Aging Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.ORCID http://orcid.org/0000-0002-2387-8508

Funding

Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) NSTC 112-2321-B-A49-006Ministry of Science and Technology, Taiwan (Ministry of Science and Technology of Taiwan) NSTC 113-2321-B-A49-012National Health Research Institutes (NHRI) NHRI-13A1-CG-CO-05-2426-3
6 · The paper itself

Abstract

backgroundPhysio-cognitive decline (PCD) represents a dual impairment of mobility and cognitive function in aging populations, significantly increasing risks of disability, dementia, and mortality. Despite its clinical importance, the underlying biological mechanisms driving PCD remain poorly understood. This study aimed to identify metabolomic biomarkers and pathways associated with PCD to elucidate potential mechanistic insights.

methodsWe conducted a comparative metabolomic analysis using serum samples from aging cohorts in Taiwan and Japan. A total of 197 pairs of participants were selected, comparing individuals in the top quintile (robust) versus bottom quintile (PCD) for both mobility and cognitive performance. Untargeted metabolomic profiling was performed to identify differential metabolites and dysregulated pathways.

resultsHere, we show significant alterations in 606 differential metabolites and 17 metabolic pathways in PCD individuals compared to robust controls. Key dysregulated pathways include glutathione metabolism, tryptophan metabolism, urea cycle/amino group metabolism, and bile acid biosynthesis. Eleven metabolites are confirmed as potential biomarkers, including creatinine, pyroglutamic acid, melatonin, 3-hydroxykynurenine, 5-hydroxytryptophan, taurodeoxycholic acid, glycocholic acid and 7α-hydroxycholesterol.

conclusionsThis study defines the comprehensive metabolomic signature of PCD, revealing disrupted metabolic pathways and identifying promising biomarker candidates for early detection and monitoring of physio-cognitive decline in aging populations.

Identifiers

PMID40813794
PMCPMC12354693

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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.