Evidence map›Paper›PMID 42754586›Full record

Articlenpj aging2026

Validation and refinement of a biomarker panel for frailty assessment and prediction of muscle weakness in older adults.

Akiko Yamakawa, Tohru Hosoyama, Marie Takemura, Shumpei Niida, Kouichi Ozaki, Shosuke Satake, Daichi Shigemizu

Abstract read
In one paragraph

Article in npj aging, 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

7 authors.

Akiko YamakawaMedical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Tohru HosoyamaGeroscience Research Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Marie TakemuraCenter for Frailty and Locomotive Syndrome, Hospital, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Shumpei NiidaResearch Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Kouichi OzakiMedical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Shosuke SatakeDepartment of Geriatric Medicine, Hospital, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan.
Daichi ShigemizuMedical Genome Center, Research Institute, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan. daichi@ncgg.go.jp.

Funding

Japan Agency for Medical Research and Development JP22dk0110046Japan Health Research Promotion Bureau 2021-B-01JSPS KAKENHI JP23K21306Research Funding for Longevity Sciences from the NCG 23-7Research Funding for Longevity Sciences from the NCGG 24-11Research Funding for Longevity Sciences from the NCGG 24-15
6 · The paper itself

Abstract

Frailty is a complex geriatric syndrome characterized by age-related declines in physiological function and cognitive reserve. To promote early prevention and intervention, minimally invasive and objective biomarkers that can detect frailty progression are required. We aimed to identify biomarkers associated with frailty progression and to elucidate their relevance to the Japanese version of the Cardiovascular Health Study (J-CHS) criteria, consist of five components (unintentional weight loss, self-reported exhaustion, muscle weakness, slow walking speed, and low physical activity). A total of 168 individuals (61 robust, 25 pre-frail, and 82 frail) enrolled in the NCGG (National Center for Geriatrics and Gerontology) Biobank were analyzed. Clinical information, blood-test data, aging-related factors, and gene-expression data were integrated for the analysis. First, linear regression identified one clinical factor, five aging-related factors, and 251 gene-expression factors associated with frailty. Subsequent logistic regression analyses examining each J-CHS components highlighted six candidate biomarkers. Cross-validation further suggested that three of these biomarkers-SMI, apelin, and GDF15-may represent potential biomarkers. Finally, retrospective and prospective analyses further demonstrated that those biomarkers were predictive of future muscle weakness, yielding a concordance index of 0.70. In conclusion, we validated and refined a biomarker panel consisting of SMI, apelin, and GDF15 that is associated with frailty, particularly muscle weakness (a major J-CHS component). These biomarkers may be useful for frailty assessment. Longitudinal analyses further suggested that they may be associated with the future development of muscle weakness in initially robust older adults, although validation in larger prospective cohorts is warranted.

Identifiers

PMID42754586
PMCPMC13586229

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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.