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Identifying biomarkers of endoplasmic reticulum stress and analyzing immune cell infiltration in chronic obstructive pulmonary disease using machine learning

  • 0Dongzhimen Hospital of Beijing University of Chinese Medicine, Beijing, China.
Frontiers in Medicine +

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December 9, 2024

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December 9, 2024

View abstract on PubMed

Summary

This summary is machine-generated.

This study identifies key genes related to endoplasmic reticulum stress (ERS) in chronic obstructive pulmonary disease (COPD). These findings offer potential new diagnostic markers and insights into COPD development and immune cell interactions.

Area Of Science

  • Pulmonary Medicine
  • Molecular Biology
  • Immunology

Background

  • Endoplasmic reticulum stress (ERS) is implicated in chronic obstructive pulmonary disease (COPD) progression.
  • Key genes and immune cell infiltration in COPD related to ERS require further elucidation.

Purpose Of The Study

  • Identify biomarkers for ERS diagnosis in COPD.
  • Investigate the association between pivotal genes and immune cell interactions in COPD.

Main Methods

  • Analyzed Gene Expression Omnibus data from 189 samples (91 control, 98 COPD).
  • Screened differentially expressed genes and ERS-related genes using LASSO regression and SVM-RFE.
  • Explored immune cell infiltration and its connection to identified key genes.

Main Results

  • Identified 66 differentially expressed endoplasmic reticulum stress-related genes (DE-ERGs).
  • Screened 22 core ERS genes associated with COPD, including CBY1, BCHE, EDEM3, FKBP10, MAOB, and MMP9, which showed diagnostic potential (AUC > 0.72).
  • Revealed significant differences in gene expression between COPD and healthy samples and obtained immune cell infiltration results.

Conclusions

  • The identified key genes may serve as potential diagnostic biomarkers for COPD.
  • This research enhances understanding of COPD pathogenesis and ERS mechanisms.

Keywords:

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