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Dataset Information

Integrative multi-omics analysis reveals novel idiopathic pulmonary fibrosis endotypes associated with disease progression.


ABSTRACT:

Background

Idiopathic pulmonary fibrosis (IPF) is characterized by the accumulation of extracellular matrix in the pulmonary interstitium and progressive functional decline. We hypothesized that integration of multi-omics data would identify clinically meaningful molecular endotypes of IPF.

Methods

The IPF-PRO Registry is a prospective registry of patients with IPF. Proteomic and transcriptomic (including total RNA [toRNA] and microRNA [miRNA]) analyses were performed using blood collected at enrollment. Molecular data were integrated using Similarity Network Fusion, followed by unsupervised spectral clustering to identify molecular subtypes. Cox proportional hazards models tested the relationship between these subtypes and progression-free and transplant-free survival. The

SUBMITTER: Ruan P 

PROVIDER: S-EPMC10283254 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature