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September 5, 2025BiomedicinesOpen Access

Exploring the Cellular and Molecular Landscape of Idiopathic Pulmonary Fibrosis: Integrative Multi-Omics and Single-Cell Analysis

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Authors

HJHuanyu JiangSWShujie WangFZFengliang Zhong

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Overview

Integrative multi-omics and single-cell analysis identify diagnostic biomarkers and therapeutic targets for idiopathic pulmonary fibrosis, highlighting gene involvement in immune pathways.

Key Points

  • Core genes associated with idiopathic pulmonary fibrosis were identified, providing insights into potential diagnostic markers.
  • The study achieved a high diagnostic potential with an AUC of 0.987 for seven key genes linked to idiopathic pulmonary fibrosis.
  • Machine learning methods were utilized to develop a diagnostic model based on integrative multi-omics data.
  • Key genes show involvement in metabolism and immunological pathways, though further validation is required for their use as biomarkers.

Cite This Study

Jiang et al. (2025) studied this question.

synapsesocial.com/papers/68bb4d106d6d5674bcd00600https://doi.org/10.3390/biomedicines13092135
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