Identification of core genes in the extracellular matrix and the regulatory mechanisms of the immune microenvironment in idiopathic pulmonary fibrosis using WGCNA and machine learning methods.

Journal: PloS one
Published Date: Aug 26, 2025

Abstract

OBJECTIVE: This research aims to detect genes associated with the extracellular matrix (ECM) in idiopathic pulmonary fibrosis (IPF) using bioinformatics techniques and investigate their relationships with immune infiltration, with the goal of identifying new diagnostic and therapeutic targets for IPF.

Authors

  • Man Wang
    Department of Forensic Science, Soochow University, Suzhou 215000, Jiangsu Province, China.
  • Lu Liu
    College of Pharmacy, Harbin Medical University, Harbin, China.
  • Yang Liu
    Department of Computer Science, Hong Kong Baptist University, Hong Kong, China.
  • Shihuan Yu
    Department of Respiratory Medicine, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.

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