ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2025
Metabolomics-based identification and validation of the creatine precursor guanidinoacetic acid for frailty in older adults.
Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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Who cites it
2 citing papers in PubMed.
- Association of gut microbiome with mobility impairment in the Hispanic Community Health Study/Study of Latinos.NPJ biofilms and microbiomes · 2026Article
- Blood biomarkers and breed genetics of aging in pet dogs.bioRxiv : the preprint server for biology · 2026Article
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Authors and funding
6 authors.
Funding
Abstract
backgroundSubtle biological changes related to frailty may be undetected by standard clinical methods, and reliable biomarkers for frailty are still under investigation. This study was conducted to profile plasma metabolite patterns associated with frailty and validate the most significant metabolite for identifying and predicting frailty in cross-sectional and longitudinal analyses.
methodsThe "Fujian Prospective Aging Cohort" (ChiCTR 2000032949) enrolled 2,265 community-dwelling individuals aged 60 and above in 2020. Plasma metabolites were analyzed using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Frailty was assessed using Fried's phenotype and the Frailty Index.
resultsWidely targeted metabolomic analysis identified 889 metabolites. GAA was identified as the top frailty-associated candidate by ROC analysis and validated in a large cross-sectional cohort (AUC = 0.670). This cohort (N = 1,972) confirmed that subjects with lower GAA levels had a higher prevalence of frailty (P < .001). Multinomial logistic regression showed that higher GAA levels were significantly associated with lower odds of prefrailty and frailty; the ORs were 0.46 (95% CI: 0.32-0.66), and 0.15 (95% CI: 0.07-0.33) in the highest quartile, both P < .001). Over a 3-year follow-up period, a group-based trajectory model identified three Frailty Index trajectories: low-elevated (59.6%), moderate-elevated (34.1%), and high-elevated (6.3%). Subjects in the highest GAA quartile had a 36% and 66% lower likelihood of following moderate-elevated and high-elevated Frailty Index trajectories (P = .016 and P = .022).
conclusionsThis study identifies GAA as a potential metabolic biomarker for frailty. Higher GAA levels are associated with lower frailty odds and provide predictive value for a lower likelihood of frailty progression.
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