Multi-omics for Sarcoidosis and Interstitial Lung Disease Progression

Multi-omics for Sarcoidosis and Interstitial Lung Disease Progression

Identifying multi-omics biomarkers to predict sarcoidosis/interstitial lung disease progression and fibrotic transformation

This project aims to identify molecular drivers and biomarkers of sarcoidosis progression and fibrotic transformation. Sarcoidosis is a complex granulomatous disease with no reliable tools to predict which patients will develop progressive lung disease or fibrosis, a major cause of morbidity and mortality in interstitial lung disease (ILD).

Our work integrates multi-omics—including metabolomics, proteomics, transcriptomics, and genetics—with clinical data, lung function, and imaging. Prior findings highlight key metabolic and inflammatory pathways, such as arginine metabolism, associated with disease activity and progression.

By applying advanced computational and machine learning approaches, we seek to define molecular endotypes, predict disease trajectories, and identify clinically actionable biomarkers to enable precision medicine in sarcoidosis and ILD.