The relation of thrombomodulin G33A and C1418T gene polymorphisms to the risk of acute myocardial infarction in Egyptians

Alkhiary, Wael; Abdalaal, Mohamed; El-Saddik, Amr Mohamed

doi:10.1016/j.ejmhg.2017.08.007

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…Thrombomodulin (THBD) is an endothelial anticoagulant protein, involved in anti-in ammatory responses, including innate immunity, brinolysis and complement activity [29,30]. Genetic studies linked several polymorphisms within THBD to be associated with higher risk of coronary artery disease and myocardial infarction [31][32][33][34][35].…”

Section: Discussionmentioning

confidence: 99%

Myocardial infarction biomarker discovery with integrated gene expression, pathways and biological networks analysis

Mujalli

Banaganapalli

Alrayes³

et al. 2020

Genomics

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Background Myocardial infarction (MI) is the most prevalent coronary atherosclerotic heart disease caused by the complex molecular interactions between multiple genes and environment. Molecular exploration of gene expression changes in MI patients is very crucial not just to understand the molecular basis of disease development but also to identify potential therapeutic targets. Therefore, we aim to identify potential biomarkers for the disease development mechanisms and for prognosis of MI using extensive integrated biological network analysis. Methodology Gene expression datasets (GSE66360) generated from 51 healthy controls and 49 endothelial cell samples from patients experiencing acute MI were used to analyze the differentially expressed genes (DEG), protein-protein interactions (PPI), gene network-clusters to annotate the candidate pathways relevant to MI pathogenesis. Results Bioinformatic analysis revealed 810 DEGs, between control and MI samples, with 574 up-and 236 downregulated genes. Their functional annotations with Gene Ontology (GO) has captured several MI targeting biological processes like immune response, in ammation and platelets degranulation. Most signi cantly DEGs enriched KEGG pathways are related to the following functions: Cytokine-cytokine receptor interaction, TNF and NFkB signaling. By constructing the PPI network using STRING and CytoHubba, seventeen hub and bottleneck genes were found, whose involvement in MI was further con rmed by DisGeNET data. Search in the Open Target Platform reveal unique bottleneck genes as potential target for MI. Conclusion Our integrative bioinformatics analysis of large-scale gene expression data has identi ed several potential genetic biomarkers associated with early stage MI providing a new insight into molecular mechanism underlying the disease.

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Section: Discussionmentioning

confidence: 99%

Myocardial infarction biomarker discovery with integrated gene expression, pathways and biological networks analysis

Mujalli

Banaganapalli

Alrayes³

et al. 2020

Genomics

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Association of SNP (rs1042579) in thrombomodulin gene and plasma thrombomodulin level in North Indian children with Kawasaki disease

et al. 2022

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Genetic variations associated with coronary artery disease and myocardial infarction in the Arab world: a systematic review and meta-analysis

Younes

Shi

Zayed

2020

Highlights in BioScience

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Coronary artery disease (CAD) and myocardial infarction (MI) have reached epidemic levels in the Arab world. The well-recognized familial clustering of CAD implies that genetics plays a key role in its development. Several CAD/MI genetic association studies have been conducted, but the outcomes have been inconsistent. In this study, we aimed to systematically review and quantitatively summarize the current evidence on genetic polymorphisms associated with CAD/MI risk in the Arab world. We systematically searched five literature databases (Science Direct, PubMed, Scopus, EMBASE, and Web of Science). We included all genetic polymorphisms with odds ratio (OR) > 1 that were significantly associated with CAD/MI risk among Arabs. Review Manager software v5.02 was used to conduct the meta-analysis. Publication bias was measured using Begg’s funnel plot and Egger’s test based on STATA software v15.1. The pooled odds ratios (ORs) and 95% confidence intervals (CIs) were computed to estimate the association. I2-statistic was used to assess heterogeneity. In total, 75 studies comprising 36,125 cases and 31,730 controls were included, and 62 studies were eligible for meta-analysis. A total of 80 captured variants within or near 59 genes were found to be associated with an increased CAD/MI susceptibility. We performed 46 individual meta-analyses tests for 46 variants. The pooled OR of association with CAD/MI ranged from 1.14 to 7.57, with a median (interquartile range) of 1.83 (1.64 – 2.57). With the few studies published so far, there appears to be a unique genetic and clinical susceptibility profile for Arab patients with CAD/MI. The findings of this study will pave the way to perform future genetic association studies that will help identify potential therapeutic targets against CAD/MI.

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The relation of thrombomodulin G33A and C1418T gene polymorphisms to the risk of acute myocardial infarction in Egyptians

Cited by 3 publications

References 21 publications

Myocardial infarction biomarker discovery with integrated gene expression, pathways and biological networks analysis

Myocardial infarction biomarker discovery with integrated gene expression, pathways and biological networks analysis

Association of SNP (rs1042579) in thrombomodulin gene and plasma thrombomodulin level in North Indian children with Kawasaki disease

Genetic variations associated with coronary artery disease and myocardial infarction in the Arab world: a systematic review and meta-analysis

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