Proteomic profiling of low muscle and high fat mass: a machine learning approach in the KORA S4/FF4 study

Proteomic profiling of low muscle and high fat mass: a machine learning approach in the KORA S4/FF4 study

Abstract Background The coexistence of low muscle mass and high fat mass, two interrelated conditions strongly associated with declining health status, has been characterized by only a few protein biomarkers. High‐throughput proteomics enable concurrent measurement of numerous proteins, facilitating...

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Bibliographic Details
Main Authors: Marie‐Theres Huemer, Alina Bauer, Agnese Petrera, Markus Scholz, Stefanie M. Hauck, Michael Drey, Annette Peters, Barbara Thorand
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:Journal of Cachexia, Sarcopenia and Muscle
Subjects:
Appendicular skeletal muscle mass
Body fat mass index
Fat mass
Muscle mass
Machine learning
Proteomics
Online Access:https://doi.org/10.1002/jcsm.12733

Internet

https://doi.org/10.1002/jcsm.12733

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