Mechanism-Based Biomarker Prediction for Low-Grade Inflammation in Liver and Adipose Tissue.

ABSTRACT: Metabolic disorders, such as obesity and type 2 diabetes have a large impact on global health, especially in industrialized countries. Tissue-specific chronic low-grade inflammation is a key contributor to complications in metabolic disorders. To support therapeutic approaches to these complications, it is crucial to gain a deeper understanding of the inflammatory dynamics and to monitor them on the individual level. To this end, blood-based biomarkers reflecting the tissue-specific inflammatory dynamics would be of great value. Here, we describe an in silico approach to select candidate biomarkers for tissue-specific inflammation by using a priori mechanistic knowledge from pathways and tissue-derived molecules. The workflow resulted in a list of candidate markers, in part c

SUBMITTER: van Bilsen JHM 

PROVIDER: S-EPMC8631400 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature