Evidence map›Paper›PMID 41756028›Full record

ArticleFrontiers in molecular biosciences2026

Creatinine, leucine, and tetrahydrocorticosterone emerge as potential biomarkers for the diagnosis of sarcopenic osteoarthritis in middle-aged and elderly individuals: a cross-sectional exploratory study.

Huihui Wu, Hui Gao, Liang Guo, Xinyu Feng, Zhishen Zhang, Yiding Zhao, Haihong Chen, Zhi Wang

Abstract read
In one paragraph

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

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Huihui Wu *School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Hui Gao *School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Liang Guo *AigenX Biosciences Co., Ltd., Shanghai, China.
Xinyu FengSchool of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Zhishen ZhangSchool of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Yiding ZhaoSchool of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Haihong ChenSchool of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.
Zhi WangSchool of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Osteoarthritis is a common degenerative joint disease that is often associated with age-related muscle wasting known as sarcopenia, particularly in the elderly. This comorbid condition, referred to as "sarcopenic osteoarthritis", may have a distinct metabolic profile; however, specific serum biomarkers for this phenotype remain poorly characterized. Therefore, we conducted an untargeted serum metabolomics study to identify potential biomarkers of osteoarthritis in individuals with sarcopenia. Methods: This cross-sectional study enrolled 82 participants categorized into healthy controls, osteoarthritis, and sarcopenic osteoarthritis groups (n = 30, 30, 22). Fasting serum was analysed by untargeted LC-MS metabolomics. Differential metabolites were identified using multivariate statistics (PCA, PLS-DA; VIP >1) combined with univariate tests (P < 0.05, FDR-adjusted q < 0.05, |log Results: Metabolomic analyses distinguished sarcopenic osteoarthritis from osteoarthritis alone by significant alterations in steroid hormone biosynthesis and sphingolipid metabolism. We screened a total of 20 substances for use as biomarkers of sarcopenic osteoarthritis and ended up focusing mainly on three of them. Conclusion: Untargeted serum metabolomics successfully distinguished between healthy controls, osteoarthritis, and sarcopenic osteoarthritis and identified several candidate biomarkers. Creatinine, leucine, and tetrahydrocorticosterone emerged as promising biomarkers for the detection and phenotyping of the distinct sarcopenic osteoarthritis phenotype based on their clinical relevance and ease of measurement.

Indexed as

biomarkersmetabolomicsosteoarthritissarcopeniaserum

Identifiers

PMID41756028
PMCPMC12932234

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