Distinct Multiomic Signatures Reveal Metabolic Mechanisms of Frailty Independent of Chronological Age
Noa Rappaport, Dantong Zhu, Lance Pflieger, Heeju Noh, Alex Carr, Kengo Watanabe, Max Robinson, Alice Kane

TL;DR
This study identifies biological mechanisms of frailty that are separate from aging, using multiomic data to reveal metabolic and microbiome signatures linked to frailty.
Contribution
The study introduces a novel multiomic WGCNA approach to uncover sex-specific metabolic and microbiome signatures of frailty independent of chronological age.
Findings
Metabolic signatures like elevated HOMA-IR, HbA1c, and triglycerides are strongly linked to frailty, suggesting an 'obese frail' phenotype.
Low levels of vitamin D, calcium, and potassium are significantly associated with higher frailty indices.
Gut microbiome features, particularly butyrate production capacity, explain about 9% of frailty variance.
Abstract
Frailty is a heterogeneous clinical syndrome characterized by decline in the functioning of multiple physiological systems. Despite its prevalence, the molecular mechanisms mediating frailty remain poorly understood. This study aimed to identify biological mechanisms underlying frailty that are distinct from chronological aging by leveraging multiomic data integration in a deeply phenotyped wellness cohort. We analyzed data from >3000 participants in the Arivale program with comprehensive multiomic profiling (plasma metabolomics, proteomics, chemistries and gut microbiome) and constructed three complementary deficit accumulation frailty indices: self-reported (35 items), laboratory-based (34 items), and combined. Using a novel multiomic adapted version of the Weighted Gene Co-expression Network Analysis (WGCNA) we identified distinct multiomic modules significantly correlated with…
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Taxonomy
TopicsFrailty in Older Adults · Health, Environment, Cognitive Aging · Gut microbiota and health
