Proteomics of Sarcopenia Prevalence and Future Risk: Shared and Distinct Pathways

TL;DR

This study identifies proteomic changes linked to sarcopenia, a condition marked by muscle loss, and finds that certain proteins can predict future risk.

Contribution

The study presents the largest proteomic screen of incident sarcopenia, revealing novel proteins and pathways associated with its development.

Findings

114 proteins were associated with sarcopenia prevalence, and 9 with its incidence.

Proteins like PXDN, TIMP4, and GDF15 were linked to both sarcopenia prevalence and future risk.

Combining proteomic data with clinical factors improved sarcopenia risk prediction (AUC 0.749).

Abstract

Sarcopenia is a state of low muscle mass and function that is known to be related to systemic, low-grade, chronic inflammation. We screened over 5,000 proteomic measures to identify changes preceding sarcopenia incidence to inform development of therapies and risk stratification. We defined sarcopenia using the SDOC definition of weak grip strength and slow walking speed at the 2011–2013 (Visit 5, N = 6,538, mean (SD) age 76 (5)) and 2016-2017 (visit 6, N = 4,003) visits of the Atherosclerosis Risk in Communities (ARIC) study. We quantified aptamer measures of over 4,000 unique proteins from Visit 5 plasma using the SomaLogic platform. Sarcopenia was present in 665 participants (11.3%) at baseline and new incident cases developed in 391 (9.8%) by Visit 6. Among the 5,272 aptamers tested, 114 were associated with sarcopenia prevalence and 9 were associated with sarcopenia incidence after adjustment for age, sex, eGFRcr-cys, and multiple comparisons (Bonferroni p < 9.5E-6). The proteins associated with sarcopenia incidence (PXDN, TIMP4, RNASE1, GDF15, SVEP1, THBS2, SVEP1, ANGPT2, EGFR) were all associated with sarcopenia prevalence (eight at p < 4E-6; TIMP4 p = 1E-4). Pathway analysis on proteins associated with sarcopenia prevalence showed enrichment for Antigen Processing and Presentation, Apoptosis, Carbohydrate Digestion and Absorption, and Fanconi anemia pathways. Sarcopenia incidence prediction had an AUC of 0.713 for nine proteins, 0.709 for age and clinical factors, and 0.749 combined. This is the largest proteomic screen of incident sarcopenia and provides new insights into proteomic alterations that both precede and predict risk of sarcopenia.