Tag: bioinformatics

Uncovering the Genetic Link between Acute Myocardial Infarction and Ulcerative Colitis Co-Morbidity through a Systems Biology Approach

Announcing a new article publication for Cardiovascular Innovations and Applications journal.    

Cardiovascular diseases, particularly acute myocardial infarction, are the leading cause of disability and death. Atherosclerosis, the pathological basis of AMI, can be accelerated by chronic inflammation. Ulcerative colitis (UC), a chronic inflammatory disease associated with immunity, contributes to the risk of AMI development. However, controversy continues to surround the relationship between these two diseases. The present study unravels the pathogenesis of AMI and UC, to provide a new perspective on the clinical management of patients with these comorbidities.

Microarray datasets GSE66360 and GSE87473 were downloaded from the Gene Expression Omnibus database. Common differentially expressed genes (co-DEGs) between AMI and UC were identified, and the following analyses were performed: enrichment analysis, protein-protein interaction network construction, hub gene identification and co-expression analysis.

A total of 267 co-DEGs (233 upregulated and 34 downregulated) were screened for further analysis. GO enrichment analysis suggested important roles of chemokines and cytokines in AMI and UC. In addition, the lipopolysaccharide-mediated signaling pathway was found to be closely associated with both diseases. KEGG enrichment analysis revealed that lipid and atherosclerosis, NF-κB, TNF and IL-17 signaling pathways are the core mechanisms involved in the progression of both diseases. Finally, 11 hub genes were identified with cytoHubba: TNF, IL1B, TLR2, CXCL8, STAT3, MMP9, ITGAX, CCL4, CSF1R, ICAM1 and CXCL1.

This study reveals a co-pathogenesis mechanism of AMI and UC regulated by specific hub genes, thus providing ideas for further mechanistic studies, and new perspectives on the clinical management of patients with these comorbidities.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0034

CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.

Chen Chang, Ruping Cai and Qiang Wu et al. Uncovering the Genetic Link between Acute Myocardial Infarction and Ulcerative Colitis Co-Morbidity through a Systems Biology Approach. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0034

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Identifying Key Genes and Related Molecules as Potential Biomarkers in Human Dilated Cardiomyopathy by Comprehensive Bioinformatics Analysis

Announcing a new article publication for Cardiovascular Innovations and Applications journal. Dilated cardiomyopathy (DCM) is a non-ischemic heart disease that poses a substantial global health burden, but its underlying molecular mechanisms remain poorly understood.

Weighted gene co-expression network analysis, differential expression analysis of genes, enriched analysis and LASSO model construction were performed in R software. miRWalk 2.0 and StarBase v2.0 were used to predict the target miRNAs and circRNAs of hub genes, respectively.

Four hub genes (COL3A1, COL1A2, LUM and THBS4) were identified, which were significantly enriched in fibrosis pathways, including extracellular matrix, biological process, and the TGF beta signaling and focal adhesion pathways. The LASSO model accurately predicted the occurrence of DCM. Additionally, three miRNAs (hsa-let-7b-5p, hsa-let-7c-5p and hsa-miR-29b-3p) and 30 circRNAs (including GIT2_hsa_circRNA10114, ANKRD52_hsa_circRNA9983 and JARID2_hsa_circRNA6618) were found to be associated with DCM.

Bioinformatics analysis identified hub genes and related molecules that may be highly associated with DCM. These findings provide insights into potential targets for improving diagnosis and pharmacological therapies to prevent DCM progression.

https://www.scienceopen.com/hosted-document?doi=10.15212/CVIA.2023.0018

CVIA is available on the ScienceOpen platform and at Cardiovascular Innovations and Applications. Submissions may be made using ScholarOne Manuscripts. There are no author submission or article processing fees. Cardiovascular Innovations and Applications is indexed in the EMBASE, EBSCO, ESCI, OCLC, Primo Central (Ex Libris), Sherpa Romeo, NISC (National Information Services Corporation), DOAJ, Index Copernicus, Research4Life and Ulrich’s web Databases. Follow CVIA on Twitter @CVIA_Journal; or Facebook.

Yingrui Li, Jianlin Du and Bin Liu et al. Identifying Key Genes and Related Molecules as Potential Biomarkers in Human Dilated Cardiomyopathy by Comprehensive Bioinformatics Analysis. CVIA. 2023. Vol. 8(1). DOI: 10.15212/CVIA.2023.0018

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