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Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses.


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.

SUBMITTER: Mak JKL 

PROVIDER: S-EPMC10410014 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

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Unraveling the metabolic underpinnings of frailty using multicohort observational and Mendelian randomization analyses.

Mak Jonathan K L JKL   Kananen Laura L   Qin Chenxi C   Kuja-Halkola Ralf R   Tang Bowen B   Lin Jake J   Wang Yunzhang Y   Jääskeläinen Tuija T   Koskinen Seppo S   Lu Yi Y   Magnusson Patrik K E PKE   Hägg Sara S   Jylhävä Juulia J  

Aging cell 20230515 8


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 assoc  ...[more]

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