1. Myocardial infarction biomarker discovery with integrated gene expression, pathways and biological networks analysis
- Author
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Noor Ahmad Shaik, Nuha Alrayes, Abdulrahman Mujalli, Ramu Elango, Babajan Banaganapalli, and Jumana Y. Al-Aama
- Subjects
0106 biological sciences ,Myocardial Infarction ,Gene Expression ,Inflammation ,Computational biology ,Disease ,Biology ,01 natural sciences ,Pathogenesis ,03 medical and health sciences ,Protein Interaction Mapping ,Gene expression ,Genetics ,medicine ,Humans ,Gene Regulatory Networks ,Myocardial infarction ,Biomarker discovery ,Gene ,030304 developmental biology ,0303 health sciences ,Gene Expression Profiling ,Systems Biology ,medicine.disease ,MicroRNAs ,medicine.symptom ,Biomarkers ,Biological network ,010606 plant biology & botany - Abstract
Myocardial infarction (MI) is the most prevalent coronary heart disease caused by the complex molecular interactions between multiple genes and environment. Here, we aim to identify potential biomarkers for the disease development and for prognosis of MI. We have used gene expression dataset (GSE66360) generated from 51 healthy controls and 49 patients experiencing acute MI and analyzed the differentially expressed genes (DEGs), protein-protein interactions (PPI), gene network-clusters to annotate the candidate pathways relevant to MI pathogenesis. Bioinformatic analysis revealed 810 DEGs. Their functional annotations have captured several MI targeting biological processes and pathways like immune response, inflammation and platelets degranulation. PPI network identify seventeen hub and bottleneck genes, whose involvement in MI was further confirmed by DisGeNET database. OpenTarget Platform reveal unique bottleneck genes as potential target for MI. Our findings identify several potential biomarkers associated with early stage MI providing a new insight into molecular mechanism underlying the disease.
- Published
- 2020