Genomic Bioinformatics Analysis on Different Diseases with the Same Syndrome for Pulmonary Related Comorbidities in Idiopathic Pulmonary Fibrosis
10.19879/j.cnki.1005-5304.202403530
- VernacularTitle:特发性肺纤维化肺内相关共病异病同证基因组生物信息学分析
- Author:
Yongming LIU
1
,
2
;
Xiaodong LYU
;
Lijian PANG
;
Ningzi ZANG
;
Yuanyu LIANG
;
Jingyu WANG
;
Jiaran WANG
;
Jiyu ZOU
;
Ye SHENG
Author Information
1. 辽宁中医药大学,辽宁 沈阳 110847
2. 辽宁中医药大学附属医院,辽宁 沈阳 110032
- Keywords:
idiopathic pulmonary fibrosis;
pulmonary related comorbidity;
different diseases with the same syndrome;
genomics;
bioinformatics
- From:
Chinese Journal of Information on Traditional Chinese Medicine
2024;31(12):20-26
- CountryChina
- Language:Chinese
-
Abstract:
Objective To explore the biological basis of different diseases with the same syndrome for pulmonary related comorbidities(pulmonary hypertension,obstructive sleep apnea syndrome,chronic obstructive pulmonary disease,lung cancer)in idiopathic pulmonary fibrosis(IPF)through genomic bioinformatics analysis.Methods GSE110147,GSE113439,GSE135917,GSE106986 and GSE118370 datasets were downloaded as research subjects.The differential genes between each disease group and the control group were screened.Cytoscape 3.10.0 software was used for topology analysis to screen core genes.OmicShare was used to perform GO and KEGG pathway enrichment analyses on core genes.Results A total of 23 core genes related to IPF was obtained.GO enrichment analysis showed that core genes were mainly enriched in biological processes such as cellular process,metabolic process,biological regulation/biological process,developmental process,localization,response to stimulus,immune system process and signaling;in cellular components such as cellular anatomical entity and protein-containing complex;in molecular functions such as binding,catalytic activity,structural molecule activity,molecular adaptor activity,molecular function regulator and transcription regulator activity.KEGG pathway enrichment analysis showed that core genes were mainly enriched in ribosome biogenesis in eukaryotes,AGE-RAGE signaling pathway in diabetic complications,Th17 cell differentiation,JAK-STAT signaling pathway,RNA polymerase,neutrophil extracellular trap formation.Conclusion Using genomic bioinformatics analysis to explore the core genes and signaling pathways of pulmonary related comorbidities in IPF can reveal the mechanism of different diseases with the same syndrome for pulmonary related comorbidities in IPF to a certain extent.
