Molecular characterization of PANoptosis-related genes associated with immune infiltration and prognosis in idiopathic pulmonary fibrosis

被引:1
作者
Chen, Hongzuo [1 ]
Xia, Zhenkun [1 ]
Qing, Bei [1 ]
Gu, Linguo [1 ]
Chen, Ying [1 ]
Wang, Juan [1 ]
Yuan, Yunchang [1 ]
机构
[1] Cent South Univ, Xiangya Hosp 2, Dept Thorac Surg, Changsha 410000, Hunan, Peoples R China
基金
中国国家自然科学基金;
关键词
PANoptosis; Immune infiltration; Idiopathic pulmonary fibrosis; Bioinformatics analysis; Cell death; LUNG FIBROSIS; INFLAMMATION; VEGF;
D O I
10.1016/j.intimp.2024.113572
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Idiopathic pulmonary fibrosis (IPF) is a chronic pulmonary disease with unknown pathogenesis and poor prognosis. PANoptosis, a newly identified form of inflammatory programmed cell death, has been implicated in various inflammatory lung diseases. This study aimed to identify differentially expressed PANoptosis-related genes (PRDEGs) associated with immune infiltration and prognosis in IPF, while also establishing a novel prognostic prediction model. A total of 63 PRDEGs were identified from GSE110147 dataset, with 31 exhibiting consistent expression trends in GSE213001. Enrichment analysis indicated that the majority of these PRDEGs were enriched in inflammatory and immune-related pathways. Three key PRDEGs-NLRP3, ATM, and VEGFA-were selected through univariate and multivariable Cox regression analyses. The prognostic prediction model developed from these key PRDEGs demonstrated robust predictive performance. Furthermore, the expression of most PRDEGs was positively correlated with pro-inflammatory immune cells, including macrophages, neutrophils, and CD4+ T cells. Validation of the expression levels of these key PRDEGs was conducted in fibrotic mouse lung tissue. This study suggests that PANoptosis plays a role in IPF, potentially linked to the infiltration of pro-inflammatory immune cells, and may influence disease progression through the regulation of inflammatory immune signaling pathway. A new prognostic prediction model for IPF based on PRDEGs was successfully developed.
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页数:10
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