Cargando…

Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis

BACKGROUND: IPF is an undetermined, progressive lung disease. Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung diseases like COPD and ARDS. However, necroptosis in IPF have not been adequately studied. This study aimed to investigate the necroptosis in IPF an...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Hongzuo, Xia, Zhenkun, Qing, Bei, Wang, Wei, Gu, Linguo, Chen, Ying, Wang, Juan, Yuan, Yunchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083386/
https://www.ncbi.nlm.nih.gov/pubmed/37051233
http://dx.doi.org/10.3389/fimmu.2023.1119139
_version_ 1785021499573272576
author Chen, Hongzuo
Xia, Zhenkun
Qing, Bei
Wang, Wei
Gu, Linguo
Chen, Ying
Wang, Juan
Yuan, Yunchang
author_facet Chen, Hongzuo
Xia, Zhenkun
Qing, Bei
Wang, Wei
Gu, Linguo
Chen, Ying
Wang, Juan
Yuan, Yunchang
author_sort Chen, Hongzuo
collection PubMed
description BACKGROUND: IPF is an undetermined, progressive lung disease. Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung diseases like COPD and ARDS. However, necroptosis in IPF have not been adequately studied. This study aimed to investigate the necroptosis in IPF and the relationship between necroptosis and immune infiltration, to construct a prognostic prediction model of IPF based on necroptosis-related genes. METHODS: GSE110147 was downloaded from the GEO database and utilized to analyze the expression of necroptosis-related differentially expressed genes (NRDEGs). Then NRDEGs were used to construct protein-protein interaction (PPI) networks in the STRING database, and Cytoscape software was used to identify and visualize hub genes. Necroptosis-related prognosticgenes were explored in GSE70866, and a prognostic prediction model was constructed. The ImmuCellAI algorithm was utilized to analyze the landscape of immune infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the association between necroptosis and type II alveolar epithelial cells (AT II) in IPF. The GSE213001 and GSE93606 were used for external validation. The expression of prognostic genes was quantified using RT-qPCRin the IPF A549 cell model, and was further verified by western blotting in the bleomycin-induced pulmonary fibrosis mouse model. RESULTS: It was observed that necroptosis-related signaling pathways were abundantly enriched in IPF. 29 NRDEGs were screened, of which 12 showed consistent expression trends in GSE213001. Spearman correlation analysis showed that the expression of NRDEGs was positively correlated with the infiltration of proinflammatory immune cells, and negatively correlated with the infiltration of anti-inflammatory immune cells. NRDEGs, including MLKL, were highly expressed in AT II of fibrotic lung tissue. A necroptosis-related prediction model was constructed based on 4 NRDEGsby the cox stepwise regression. In the validation dataset GSE93606, the prognostic prediction model showed good applicability. The verification results of RT-qPCR and western blotting showed the reliability of most of the conclusions. CONCLUSIONS: This study revealed that necroptosis existed in IPF and might occur in AT II. Necroptosis was associated with immune infiltration, suggesting that necroptosis of AT II might involve in IPF by activating immune infiltration and immune response.
format Online
Article
Text
id pubmed-10083386
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-100833862023-04-11 Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis Chen, Hongzuo Xia, Zhenkun Qing, Bei Wang, Wei Gu, Linguo Chen, Ying Wang, Juan Yuan, Yunchang Front Immunol Immunology BACKGROUND: IPF is an undetermined, progressive lung disease. Necroptosis is a type of programmed apoptosis, which involved in the pathogenesis of lung diseases like COPD and ARDS. However, necroptosis in IPF have not been adequately studied. This study aimed to investigate the necroptosis in IPF and the relationship between necroptosis and immune infiltration, to construct a prognostic prediction model of IPF based on necroptosis-related genes. METHODS: GSE110147 was downloaded from the GEO database and utilized to analyze the expression of necroptosis-related differentially expressed genes (NRDEGs). Then NRDEGs were used to construct protein-protein interaction (PPI) networks in the STRING database, and Cytoscape software was used to identify and visualize hub genes. Necroptosis-related prognosticgenes were explored in GSE70866, and a prognostic prediction model was constructed. The ImmuCellAI algorithm was utilized to analyze the landscape of immune infiltration in GSE110147. The single-cell RNA sequencing dataset GSE122960 was used to explore the association between necroptosis and type II alveolar epithelial cells (AT II) in IPF. The GSE213001 and GSE93606 were used for external validation. The expression of prognostic genes was quantified using RT-qPCRin the IPF A549 cell model, and was further verified by western blotting in the bleomycin-induced pulmonary fibrosis mouse model. RESULTS: It was observed that necroptosis-related signaling pathways were abundantly enriched in IPF. 29 NRDEGs were screened, of which 12 showed consistent expression trends in GSE213001. Spearman correlation analysis showed that the expression of NRDEGs was positively correlated with the infiltration of proinflammatory immune cells, and negatively correlated with the infiltration of anti-inflammatory immune cells. NRDEGs, including MLKL, were highly expressed in AT II of fibrotic lung tissue. A necroptosis-related prediction model was constructed based on 4 NRDEGsby the cox stepwise regression. In the validation dataset GSE93606, the prognostic prediction model showed good applicability. The verification results of RT-qPCR and western blotting showed the reliability of most of the conclusions. CONCLUSIONS: This study revealed that necroptosis existed in IPF and might occur in AT II. Necroptosis was associated with immune infiltration, suggesting that necroptosis of AT II might involve in IPF by activating immune infiltration and immune response. Frontiers Media S.A. 2023-03-27 /pmc/articles/PMC10083386/ /pubmed/37051233 http://dx.doi.org/10.3389/fimmu.2023.1119139 Text en Copyright © 2023 Chen, Xia, Qing, Wang, Gu, Chen, Wang and Yuan https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Chen, Hongzuo
Xia, Zhenkun
Qing, Bei
Wang, Wei
Gu, Linguo
Chen, Ying
Wang, Juan
Yuan, Yunchang
Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
title Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
title_full Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
title_fullStr Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
title_full_unstemmed Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
title_short Analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
title_sort analysis of necroptosis-related prognostic genes and immune infiltration in idiopathic pulmonary fibrosis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083386/
https://www.ncbi.nlm.nih.gov/pubmed/37051233
http://dx.doi.org/10.3389/fimmu.2023.1119139
work_keys_str_mv AT chenhongzuo analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT xiazhenkun analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT qingbei analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT wangwei analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT gulinguo analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT chenying analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT wangjuan analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis
AT yuanyunchang analysisofnecroptosisrelatedprognosticgenesandimmuneinfiltrationinidiopathicpulmonaryfibrosis