Evidence map›Paper›PMID 38789967›Full record

ArticleRespiratory research2024

Identification of differentially expressed ER stress-related genes and their association with pulmonary arterial hypertension.

Qi Yang, Banghui Lai, Hao Xie, Mingbin Deng, Jun Li, Yan Yang, Juyi Wan, Bin Liao, Feng Liu

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PubMed Full text at PMC Publisher
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Article in Respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Qi Yang *Department of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Banghui Lai *Department of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Hao XieDepartment of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Mingbin DengDepartment of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Jun LiLaboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, (Collaborative Innovation Center for Prevention of Cardiovascular Diseases), Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Yan YangLaboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, (Collaborative Innovation Center for Prevention of Cardiovascular Diseases), Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Juyi WanDepartment of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China.
Bin LiaoDepartment of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China. liaobin@swmu.edu.cn.
Feng LiuDepartment of Cardiovascular Surgery, The Affiliated Hospital, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Southwest Medical University, Luzhou, Sichuan, 646000, P.R. China. liufeng019@swmu.edu.cn.

Funding

Sichuan Science and Technology Program 2022YFS0610the National Natural Science Foundation of China 82070277
6 · The paper itself

Abstract

backgroundPulmonary arterial hypertension (PAH) is a complex and progressive illness that has a multifaceted origin, significant fatality rates, and profound effects on health. The pathogenesis of PAH is poorly defined due to the insufficient understanding of the combined impact of endoplasmic reticulum (ER) stress and immune infiltration, both of which play vital roles in PAH development. This study aims to identify potential ER stress-related biomarkers in PAH and investigate their involvement in immune infiltration.

methodsThe GEO database was used to download gene expression profiles. Genes associated with ER stress were obtained from the MSigDB database. Weighted gene co-expression network analysis (WGCNA), GO, KEGG, and protein-protein interaction (PPI) were utilized to conduct screening of hub genes and explore potential molecular mechanisms. Furthermore, the investigation also delved into the presence of immune cells in PAH tissues and the correlation between hub genes and the immune system. Finally, we validated the diagnostic value and expression levels of the hub genes in PAH using subject-workup characterization curves and real-time quantitative PCR.

resultsIn the PAH and control groups, a total of 31 genes related to ER stress were found to be differentially expressed. The enrichment analysis revealed that these genes were primarily enriched in reacting to stress in the endoplasmic reticulum, dealing with unfolded proteins, transporting proteins, and processing proteins within the endoplasmic reticulum. EIF2S1, NPLOC4, SEC61B, SYVN1, and DERL1 were identified as the top 5 hub genes in the PPI network. Immune infiltration analysis revealed that these hub genes were closely related to immune cells. The receiver operating characteristic (ROC) curves revealed that the hub genes exhibited excellent diagnostic efficacy for PAH. The levels of SEC61B, NPLOC4, and EIF2S1 expression were in agreement with the findings of bioinformatics analysis in the PAH group.

conclusionsPotential biomarkers that could be utilized are SEC61B, NPLOC4, and EIF2S1, as identified in this study. The infiltration of immune cells was crucial to the development and advancement of PAH. This study provided new potential therapeutic targets for PAH.

Indexed as

Endoplasmic Reticulum StressDatabases, GeneticFemaleGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMaleMiddle AgedProtein Interaction MapsPulmonary Arterial HypertensionBioinformatic analysisEndoplasmic reticulum stressHub genesImmune infiltrationPulmonary arterial hypertension

Identifiers

PMID38789967
PMCPMC11127292

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.