Exploration of Basement Membrane-related Markersand Prediction of Therapeutic Drugs in Idiopathic Pulmonary Fibrosis
10.3870/j.issn.1004-0781.2024.08.027
- VernacularTitle:特发性肺纤维化中基底膜相关标志物探索及治疗药物预测
- Author:
Yifeng XU
1
;
Shiwen KE
;
Hang XIAO
;
Wenqiang ZHANG
;
Shaobin XIONG
;
Xiaogang XU
;
Yu WANG
;
Liangji LIU
Author Information
1. 江西中医药大学研究生院,南昌 330004
- Keywords:
Idiopathic pulmonary fibrosis;
Basement membrane;
Differential genes;
microRNA;
Markers;
Drug pre-diction
- From:
Herald of Medicine
2024;43(8):1338-1346
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore basement membrane markers and potential drugs for treatment in idiopathic pulmona-ry fibrosis(IPF).Methods IPF-related datasets were downloaded from the Gene Expression Omnibus(GEO)database,processed to construct basement membrane gene expression matrices associated with IPF,and screened for differential basement membrane genes(DEBMs);DEBMs were enriched for function and pathways,and machine learning algorithms were used to ob-tain candidate signature genes,receiver operating characteristic(ROC)curves were used to identify signature genes and con-struct a nomogram.We performed ssGSEA analysis to explore the correlation between signature genes and immune cells and their functions and predicted the corresponding miRNAs and therapeutic drugs by signature genes.Results A total of 56 DEBMs were extracted;enrichment analysis showed that DEBMs were mainly enriched in"extracellular matrix tissue","extracellular structural tissue",etc.,and were closely related to"ECM-receptor interaction"and"local adhesion spot"pathways.The ma-chine learning has identified six candidate signature genes(TIMP3,P3H2,ITGA7,ITGA4,ADAMTS2,COL8A2),all of which meet the requirements of the signature genes by the ROC curve test,and the nomogram diagnostic value was outstanding(AUC=0.991 523);B cells and Macrophages in IPF were significantly different from the normal group.Finally,miRNAs were predicted to be dominated by miR-4305,miR-3684,progesterone,and tert-butyl hydroperoxide as therapeutic agents with strong relevance to IPF.Conclusion Signature genes and predictive miRNAs may serve as novel markers for IPF diagnosis,and pre-dictive drugs may be a potential source of drugs for treating IPF.
