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

Marie-Theres HuemerAlina BauerAgnese PetreraMarkus ScholzStefanie M HauckMichael DreyAnnette PetersBarbara Thorand

Published in: Journal of cachexia, sarcopenia and muscle (2021)

Proteomic profiling revealed CCL28 and TIMP4 as new biomarkers of low muscle mass combined with high fat mass and NT-proBNP as a key biomarker of loss in muscle mass combined with gain in fat mass. Proteomics enable us to accelerate biomarker discoveries in muscle research.

Keyphrases

machine learning
single cell
label free
skeletal muscle
adipose tissue
mass spectrometry
liver fibrosis
liver injury
drug induced