Longevity PapersAbout
← All papers
RESEARCH PAPER / 2026-01-17

Integrated Proteomic and Metabolomic Profiling for Developing Novel Plasma-Based Diagnostic Models of Sarcopenia.

Dongqin Xu, Haoran Jin, Jinlin Yang, Zhiliang Zuo, Rui Ou, Fengjuan Hu, Lu Pu, Yuxing Dong, Meng Wu, Birong Dong, Hao Jiang

Laboratory for Aging and Cancer Research, National Clinical Research Center for Geriatrics and State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China.Laboratory for Aging and Cancer Research, National Clinical Research Center for Geriatrics and State Key Laboratory of Respiratory Health and Multimorbidity, West China Hospital, Sichuan University, Chengdu, China. · pubmed

Abstract

Sarcopenia is a progressive, age-related condition characterized by a decline in skeletal muscle mass, strength and performance. Diagnosis remains challenging because current consensus criteria are difficult to scale and existing biomarkers lack accuracy. This study aimed to develop high-performance plasma-based diagnostic models for sarcopenia by integrating proteomic and metabolomic profiles.

The following analysis is generated by AI and may contain errors. It is separate from the authors’ abstract and is not peer review.

Research summary

This study claims to develop high-performance plasma-based diagnostic models for sarcopenia through integrated proteomic and metabolomic profiling. The research addresses a significant age-related condition and aims to improve diagnostic accuracy, which is relevant to understanding and potentially mitigating the effects of aging.

Author of this paper? Send a correction.