miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis
Background: Coronary artery disease (CAD) is a common cardiovascular disease that has attracted attention worldwide due to its high morbidity and mortality. Recent studies have shown that abnormal microRNA (miRNA) expression is effective in CAD diagnoses and processes. However, the potential relatio...
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Frontiers Media S.A.
2022-08-01
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Online Access: | https://www.frontiersin.org/articles/10.3389/fgene.2022.936937/full |
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author | Minghua Zhang Yan Hu Haoda Li Xiaozi Guo Junhui Zhong Sha He |
author_facet | Minghua Zhang Yan Hu Haoda Li Xiaozi Guo Junhui Zhong Sha He |
author_sort | Minghua Zhang |
collection | DOAJ |
description | Background: Coronary artery disease (CAD) is a common cardiovascular disease that has attracted attention worldwide due to its high morbidity and mortality. Recent studies have shown that abnormal microRNA (miRNA) expression is effective in CAD diagnoses and processes. However, the potential relationship between miRNAs and CAD remains unclear.Methods: Microarray datasets GSE105449 and GSE28858 were downloaded directly from the Gene Expression Omnibus (GEO) to identify miRNAs involved in CAD. Target gene prediction and enrichment analyses were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG).Results: There were nine differentially expressed miRNAs in CAD patients compared to the controls. A total of 352 genes were predicted and subjected to GO analysis, which showed that differentially expressed genes (DEGs) were mainly associated with axon guidance, neuron projection guidance, neuron-to-neuron synapses, and postsynaptic density. According to the KEGG pathway analysis, the most enriched pathways were those involved in transcriptional misregulation in cancer, growth hormone synthesis, secretion and action, endocrine resistance, axon guidance, and Cushing syndrome. Pathway analysis was mainly involved in the HIPPO and prion disease signaling pathways. Furthermore, a competing endogenous RNA (ceRNA) interaction network centered on miR-22-3p revealed eight related transcription factors in the cardiovascular system. The receiver operating characteristic (ROC) curve analysis suggested that miR-22-3p may be a better CAD predictor.Conclusion: The results indicate that miR-22-3p may function in pathophysiological CAD processes. Our study potentiates miR-22-3p as a specific biomarker for diagnosing CAD. |
first_indexed | 2024-04-11T09:44:49Z |
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language | English |
last_indexed | 2024-04-11T09:44:49Z |
publishDate | 2022-08-01 |
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series | Frontiers in Genetics |
spelling | doaj.art-ecc41b71cf124b1887dd976153b7e8892022-12-22T04:31:06ZengFrontiers Media S.A.Frontiers in Genetics1664-80212022-08-011310.3389/fgene.2022.936937936937miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysisMinghua Zhang0Yan Hu1Haoda Li2Xiaozi Guo3Junhui Zhong4Sha He5Department of Cardiovascular Medicine, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, ChinaNursing Department, Key Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, ChinaKey Laboratory of Biological Targeting Diagnosis, Therapy and Rehabilitation of Guangdong Higher Education Institutes, The Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, ChinaBackground: Coronary artery disease (CAD) is a common cardiovascular disease that has attracted attention worldwide due to its high morbidity and mortality. Recent studies have shown that abnormal microRNA (miRNA) expression is effective in CAD diagnoses and processes. However, the potential relationship between miRNAs and CAD remains unclear.Methods: Microarray datasets GSE105449 and GSE28858 were downloaded directly from the Gene Expression Omnibus (GEO) to identify miRNAs involved in CAD. Target gene prediction and enrichment analyses were performed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG).Results: There were nine differentially expressed miRNAs in CAD patients compared to the controls. A total of 352 genes were predicted and subjected to GO analysis, which showed that differentially expressed genes (DEGs) were mainly associated with axon guidance, neuron projection guidance, neuron-to-neuron synapses, and postsynaptic density. According to the KEGG pathway analysis, the most enriched pathways were those involved in transcriptional misregulation in cancer, growth hormone synthesis, secretion and action, endocrine resistance, axon guidance, and Cushing syndrome. Pathway analysis was mainly involved in the HIPPO and prion disease signaling pathways. Furthermore, a competing endogenous RNA (ceRNA) interaction network centered on miR-22-3p revealed eight related transcription factors in the cardiovascular system. The receiver operating characteristic (ROC) curve analysis suggested that miR-22-3p may be a better CAD predictor.Conclusion: The results indicate that miR-22-3p may function in pathophysiological CAD processes. Our study potentiates miR-22-3p as a specific biomarker for diagnosing CAD.https://www.frontiersin.org/articles/10.3389/fgene.2022.936937/fullmicroRNAmiR-22-3pcoronary artery diseasegene expressionblood |
spellingShingle | Minghua Zhang Yan Hu Haoda Li Xiaozi Guo Junhui Zhong Sha He miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis Frontiers in Genetics microRNA miR-22-3p coronary artery disease gene expression blood |
title | miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis |
title_full | miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis |
title_fullStr | miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis |
title_full_unstemmed | miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis |
title_short | miR-22-3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis |
title_sort | mir 22 3p as a potential biomarker for coronary artery disease based on integrated bioinformatics analysis |
topic | microRNA miR-22-3p coronary artery disease gene expression blood |
url | https://www.frontiersin.org/articles/10.3389/fgene.2022.936937/full |
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