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

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...

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Main Authors: Nadine Tuechler, Mira Lea Burtscher, Martin Garrido-Rodriguez, Muzamil Majid Khan, Dénes Türei, Christian Tischer, Sarah Kaspar, Jennifer Jasmin Schwarz, Frank Stein, Mandy Rettel, Rafael Kramann, Mikhail M Savitski, Julio Saez-Rodriguez, Rainer Pepperkok
Format: Article
Language:English
Published: Springer Nature 2025-06-01
Series:Molecular Systems Biology
Subjects:
Kidney Fibrosis
Extracellular Matrix
Multi-omics
Time Points
Network Modeling
Online Access:https://doi.org/10.1038/s44320-025-00116-2
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https://doi.org/10.1038/s44320-025-00116-2

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