Dynamic multi-omics and mechanistic modeling approach uncovers novel mechanisms of kidney fibrosis progression.

ABSTRACT: Kidney fibrosis, characterized by excessive extracellular matrix deposition, is a progressive disease that, despite affecting 10% of the population, lacks specific treatments and suitable biomarkers. This study presents a comprehensive, time-resolved multi-omics analysis of kidney fibrosis using an in vitro model system based on human kidney PDGFRβ⁺ mesenchymal cells aimed at unraveling disease mechanisms. Using transcriptomics, proteomics, phosphoproteomics, and secretomics, we quantified over 14,000 biomolecules across seven time points following TGF-β stimulation. This revealed distinct temporal patterns in the expression and activity of known and potential kidney fibrosis markers and modulators. Data integration resulted in time-resolved multi-omic network models which allow

SUBMITTER: Tuechler N 

PROVIDER: S-EPMC12322177 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature