Last updated:
Author(s):
Jonathan K. L. Mak, Laura Kananen, Chenxi Qin, Ralf Kuja-Halkola, Bowen Tang, Jake Lin, Yunzhang Wang, Tuija Jääskeläinen, Seppo Koskinen, Yi Lu, Patrik K. E. Magnusson, Sara Hägg, Juulia Jylhävä
Publish date:
15 May 2023
Journal:
Aging Cell
PubMed ID:
37184129

Abstract

Identifying metabolic biomarkers of frailty, an age-related state of physiological decline, is important for understanding its metabolic underpinnings and developing preventive strategies. Here, we systematically examined 168 nuclear magnetic resonance-based metabolomic biomarkers and 32 clinical biomarkers for their associations with frailty. In up to 90,573 UK Biobank participants, we identified 59 biomarkers robustly and independently associated with the frailty index (FI). Of these, 34 associations were replicated in the Swedish TwinGene study (n = 11,025) and the Finnish Health 2000 Survey (n = 6073). Using two-sample Mendelian randomization, we showed that the genetically predicted level of glycoprotein acetyls, an inflammatory marker, was statistically significantly associated with an increased FI (β per SD increase = 0.37%, 95% confidence interval: 0.12-0.61). Creatinine and several lipoprotein lipids were also associated with increased FI, yet their effects were mostly driven by kidney and cardiometabolic diseases, respectively. Our findings provide new insights into the causal effects of metabolites on frailty and highlight the role of chronic inflammation underlying frailty development.

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This research will identify metabolic, genetic and lifestyle measures that predict, and may determine, the onset of various age-related degenerative diseases. We will establish studies…

Institution:
Karolinska Institutet, Sweden

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