Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease

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Gholipour Akram; SHAKERIAN FARSHAD; ZAHEDMEHR ALI; IRANI SHIVA; MALAKOOTIAN MAHSHID; MOWLA SEYED JAVAD

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Journal Paper

Paper Information

Journal: Iranian Journal of Public Health Year:2022 | Volume:51 | Issue:5 Page(s): 1152-1160

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Title

Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease

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Keywords

Blood exosomes

Coronary heart disease

Differentially expressed genes

Abstract

Background: Coronary heart disease (CHD), a major cause of death worldwide, is defined as a narrowing or blockage of the coronary arteries that supply oxygen and blood to the heart. We aimed to find potential biomarkers for coronary artery disease, by comparing the expression profile of Blood exosomes of both normal and CHD samples. Methods: Datasets of 6 CHD and 6 normal samples of Blood exosomes were downloaded, and differentially expressed RNAs, with adjusted P<0. 01 and log2FoldChange≥, 1 were achieved. Moreover, gene ontology (GO) and pathway analysis were accomplished by PANTHER database for datasets. Results: Our data analysis found 119 Differentially expressed genes between two datasets. By comparing transcriptome profiles, we candidate the highest downregulated gene, ACSBG1, and the highest upregulated one, DEFA4, as specific biomarkers for CHD. Furthermore, GO and pathway analysis depicted that aforementioned Differentially expressed genes are mostly involved in different molecular metabolic process, inflammation, immune system process and response to stimulus pathways which all cause cardiovascular diseases. Conclusion: We have provided new potential biomarkers for CHD, though experimental validation is still needed to confirm the suitability of the candidate genes for early detection of CHD.

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APA: Copy

Gholipour, Akram, SHAKERIAN, FARSHAD, ZAHEDMEHR, ALI, IRANI, SHIVA, MALAKOOTIAN, MAHSHID, & MOWLA, SEYED JAVAD. (2022). Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease. IRANIAN JOURNAL OF PUBLIC HEALTH, 51(5), 1152-1160. SID. https://sid.ir/paper/1044947/en

Vancouver: Copy

Gholipour Akram, SHAKERIAN FARSHAD, ZAHEDMEHR ALI, IRANI SHIVA, MALAKOOTIAN MAHSHID, MOWLA SEYED JAVAD. Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease. IRANIAN JOURNAL OF PUBLIC HEALTH[Internet]. 2022;51(5):1152-1160. Available from: https://sid.ir/paper/1044947/en

IEEE: Copy

Akram Gholipour, FARSHAD SHAKERIAN, ALI ZAHEDMEHR, SHIVA IRANI, MAHSHID MALAKOOTIAN, and SEYED JAVAD MOWLA, “Bioinformatics Analysis to Find Novel Biomarkers for Coronary Heart Disease,” IRANIAN JOURNAL OF PUBLIC HEALTH, vol. 51, no. 5, pp. 1152–1160, 2022, [Online]. Available: https://sid.ir/paper/1044947/en

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