Identifying Biomarkers of Frailty Through an Integrated Multi-omics Analysis
John Batsis, Dakota Batchek, David Lynch, Laura Herring, Whitney Stutts, Danae Gross, Hillary Spangler

TL;DR
This study identifies potential biomarkers for frailty in older adults using multi-omics data, which could help in developing precision medicine approaches.
Contribution
The study introduces a novel integration of metabolomic and proteomic data to identify biomarkers of frailty in older adults.
Findings
Frail individuals showed elevated levels of nucleosome-related proteins like H2B, H3C1, H2AC3, and H3-4.
Nicotinamide was significantly downregulated in frail participants, suggesting a link to age-related decline.
Baseline functional measures differed between pre-frail and frail groups, with significant differences in gait speed and ADL scores.
Abstract
Older adults are vulnerable to frailty, leading to adverse outcomes. We examined baseline metabolomic/proteomic biomarkers associated with different frailty states with a goal of advancing precision medicine in a pilot study of older adults pursuing physical therapy. We conducted a prospective study of 18 adults (≥65 years) from primary care, referred for physical therapy. Frailty was classified using a modified Cumulative Deficit Index (38 variables). Baseline gait speed, grip strength and instrumental activities of daily living (ADL) score (0-100) were assessed. Plasma samples underwent untargeted metabolomics and proteomics. Proteomics used Mag-Net enrichment to detect low-abundance proteins, followed by LC-MS/MS analysis on a Thermo Neo-Orbitrap Astral. Metabolomics involved methanol extraction and CE-MS/MS analysis using a 908Devices ZipChip-Thermo Fusion Lumos. The mean…
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
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Taxonomy
TopicsFrailty in Older Adults · Metabolomics and Mass Spectrometry Studies · Health, Environment, Cognitive Aging
