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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Principais autores:	Marie‐Theres Huemer, Alina Bauer, Agnese Petrera, Markus Scholz, Stefanie M. Hauck, Michael Drey, Annette Peters, Barbara Thorand
Format:	Artigo
Jezik:	Inglês
Izdano:	Wiley 2021-08-01
Serija:	Journal of Cachexia, Sarcopenia and Muscle
Teme:	Appendicular skeletal muscle mass Body fat mass index Fat mass Muscle mass Machine learning Proteomics
Online dostop:	https://doi.org/10.1002/jcsm.12733
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