Comprehensive analysis of an endoplasmic reticulum stress-related gene prediction model and immune infiltration in idiopathic pulmonary fibrosis

被引:3
|
作者
Zhu, Honglan [1 ,2 ,3 ]
Zhou, Aiming [2 ,4 ]
Zhang, Menglin [2 ,5 ]
Pan, Lin [6 ]
Wu, Xiao [7 ]
Fu, Chenkun [2 ]
Gong, Ling [3 ]
Yang, Wenting [1 ]
Liu, Daishun [8 ]
Cheng, Yiju [2 ,9 ]
机构
[1] Guizhou Med Univ, Affiliated Hosp, Dept Resp & Crit Care Med, Guiyang, Peoples R China
[2] Guizhou Med Univ, Dept Clin Med, Guiyang, Peoples R China
[3] Zunyi Zunyi Med Univ, Affiliated Hosp 3, Peoples Hosp 1, Dept Resp & Crit Care Med, Zunyi, Peoples R China
[4] Guizhou Med Univ, Dept Cardiac Surg, Affiliated Hosp, Guiyang, Peoples R China
[5] First Peoples Hosp Anshun, Dept Resp & Crit Care Med, Anshun, Peoples R China
[6] Army Med Univ, Affiliated Hosp 2, Dept Resp & Crit Care Med, Chongqing, Peoples R China
[7] Second Peoples Hosp Guiyang, Dept Resp & Crit Care Med, Guiyang, Peoples R China
[8] Zunyi Med Univ, Dept Clin Med, Zunyi, Peoples R China
[9] Fourth Peoples Hosp Guiyang, Dept Resp & Crit Care Med, Guiyang, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2024年 / 14卷
基金
中国国家自然科学基金;
关键词
idiopathic pulmonary fibrosis; endoplasmic reticulum stress (ER stress); diagnosis; prognosis; bioinformatics analysis; immune filtration; ALPHA-SYNUCLEIN; ER STRESS; EXPRESSION; PROTEIN; APOPTOSIS; MOUSE; PHOSPHORYLATION; MACROPHAGES; INHIBITOR; MICE;
D O I
10.3389/fimmu.2023.1305025
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundIdiopathic pulmonary fibrosis (IPF) is a chronic progressive interstitial lung disease. This study aimed to investigate the involvement of endoplasmic reticulum stress (ERS) in IPF and explore its correlation with immune infiltration.MethodsERS-related differentially expressed genes (ERSRDEGs) were identified by intersecting differentially expressed genes (DEGs) from three Gene Expression Omnibus datasets with ERS-related gene sets. Gene Set Variation Analysis and Gene Ontology were used to explore the potential biological mechanisms underlying ERS. A nomogram was developed using the risk signature derived from the ERSRDEGs to perform risk assessment. The diagnostic value of the risk signature was evaluated using receiver operating characteristics, calibration, and decision curve analyses. The ERS score of patients with IPF was measured using a single-sample Gene Set Enrichment Analysis (ssGSEA) algorithm. Subsequently, a prognostic model based on the ERS scores was established. The proportion of immune cell infiltration was assessed using the ssGSEA and CIBERSORT algorithms. Finally, the expression of ERSRDEGs was validated in vivo and in vitro via RT-qPCR.ResultsThis study developed an 8-ERSRDEGs signature. Based on the expression of these genes, we constructed a diagnostic nomogram model in which agouti-related neuropeptide had a significantly greater impact on the model. The area under the curve values for the predictive value of the ERSRDEGs signature were 0.975 and 1.000 for GSE70866 and GSE110147, respectively. We developed a prognostic model based on the ERS scores of patients with IPF. Furthermore, we classified patients with IPF into two subtypes based on their signatures. The RT-qPCR validation results supported the reliability of most of our conclusions.ConclusionWe developed and verified a risk model using eight ERSRDEGs. These eight genes can potentially affect the progression of IPF by regulating ERS and immune responses.
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页数:28
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