{"title":"Identification of AHNAK expression associated with the pathogenesis of chronic obstructive pulmonary disease by bioinformatic analysis.","authors":"Chunhui Zhang, Yu Liu","doi":"10.18388/abp.2020_6041","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Chronic obstructive pulmonary disease (COPD) was a risk factor for lung cancer tumorigenesis. This study aimed to discover novel diagnostic biomarkers for COPD patients and determine their underlying pathogenetic mechanisms.</p><p><strong>Materials and methods: </strong>Differentially expressed genes (DEGs) in COPD samples and normal controls were analyzed and utilized to construct a network associated with a high risk for COPD occurrence. Enrichment analysis was applied on the strength of Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The RT-qPCR analysis was performed to determine 10 hub genes in COPD. ELISA assay was utilized to measure IL-1β, IL-6, and IL-10 levels. Spearman's correlation analysis was conducted to detect the correlation between inflammatory cytokines and AHNAK expression. Cell proliferation and apoptosis were evaluated by CCK-8 and flow cytometry assays.</p><p><strong>Results: </strong>AHNAK was significantly increased in COPD serum samples compared with non-COPD smokers and strongly correlated with inflammation. AHNAK level could also discriminate COPD from non-COPD with high accuracy.</p><p><strong>Conclusion: </strong>AHNAK may be a feasible biomarker playing crucial functions in the diagnosis and progression of COPD.</p>","PeriodicalId":6984,"journal":{"name":"Acta biochimica Polonica","volume":" ","pages":"761-766"},"PeriodicalIF":1.4000,"publicationDate":"2023-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Acta biochimica Polonica","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.18388/abp.2020_6041","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Chronic obstructive pulmonary disease (COPD) was a risk factor for lung cancer tumorigenesis. This study aimed to discover novel diagnostic biomarkers for COPD patients and determine their underlying pathogenetic mechanisms.
Materials and methods: Differentially expressed genes (DEGs) in COPD samples and normal controls were analyzed and utilized to construct a network associated with a high risk for COPD occurrence. Enrichment analysis was applied on the strength of Gene Ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. The RT-qPCR analysis was performed to determine 10 hub genes in COPD. ELISA assay was utilized to measure IL-1β, IL-6, and IL-10 levels. Spearman's correlation analysis was conducted to detect the correlation between inflammatory cytokines and AHNAK expression. Cell proliferation and apoptosis were evaluated by CCK-8 and flow cytometry assays.
Results: AHNAK was significantly increased in COPD serum samples compared with non-COPD smokers and strongly correlated with inflammation. AHNAK level could also discriminate COPD from non-COPD with high accuracy.
Conclusion: AHNAK may be a feasible biomarker playing crucial functions in the diagnosis and progression of COPD.
期刊介绍:
Acta Biochimica Polonica is a journal covering enzymology and metabolism, membranes and bioenergetics, gene structure and expression, protein, nucleic acid and carbohydrate structure and metabolism.