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Ebadi, Nader, Arefizadeh, Reza, Nasrollahzadeh Sabet, Mehrdad, Goodarzi, Naser. (1401). Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis. سامانه مدیریت نشریات علمی, 48(1), 35-42. doi: 10.30476/ijms.2022.92656.2395
Nader Ebadi; Reza Arefizadeh; Mehrdad Nasrollahzadeh Sabet; Naser Goodarzi. "Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis". سامانه مدیریت نشریات علمی, 48, 1, 1401, 35-42. doi: 10.30476/ijms.2022.92656.2395
Ebadi, Nader, Arefizadeh, Reza, Nasrollahzadeh Sabet, Mehrdad, Goodarzi, Naser. (1401). 'Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis', سامانه مدیریت نشریات علمی, 48(1), pp. 35-42. doi: 10.30476/ijms.2022.92656.2395
Ebadi, Nader, Arefizadeh, Reza, Nasrollahzadeh Sabet, Mehrdad, Goodarzi, Naser. Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis. سامانه مدیریت نشریات علمی, 1401; 48(1): 35-42. doi: 10.30476/ijms.2022.92656.2395

Identification of Key Genes and Biological Pathways Related to Myocardial Infarction through Integrated Bioinformatics Analysis

Iranian Journal of Medical Sciences
مقاله 5، دوره 48، شماره 1، فروردین 2023، صفحه 35-42    اصل مقاله (2.87 M)
نوع مقاله: Original Article(s)
شناسه دیجیتال (DOI): 10.30476/ijms.2022.92656.2395
نویسندگان
Nader Ebadi1، 2؛ Reza Arefizadeh* 1؛ Mehrdad Nasrollahzadeh Sabet1؛ Naser Goodarzi3
1Department of Cardiology, School of Medicine, Aja University of Medical Sciences, Tehran, Iran
2Department of Medical Genetics, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3Department of Clinical Psychology, School of Medicine, Aja University of Medical Sciences, Tehran, Iran
چکیده
Background: Coronary heart disease is the leading cause of death worldwide. Myocardial infarction (MI) is a fatal manifestation of coronary heart disease, which can present as sudden death. Although the molecular mechanisms of coronary heart disease are still unknown, global gene expression profiling is regarded as a useful approach for deciphering the pathophysiology of this disease and subsequent diseases. This study used a bioinformatics analysis approach to better understand the molecular mechanisms underlying coronary heart disease.
Methods: This experimental study was conducted in the department of cardiology, Aja University of Medical Sciences (2021-2022), Tehran, Iran. To identify the key deregulated genes and pathways in coronary heart disease, an integrative approach was used by merging three gene expression datasets, including GSE19339, GSE66360, and GSE29111, into a single matrix. The t test was used for the statistical analysis, with a significance level of P<0.05. 
Results: The limma package in R was used to identify a total of 133 DEGs, consisting of 124 upregulated and nine downregulated genes. KDM5D, EIF1AY, and CCL20 are among the top upregulated genes. 
Moreover, the interleukin 17 (IL-17) signaling pathway and four other signaling pathways were identified as the potent underlying pathogenesis of both coronary artery disease (CAD) and MI using a systems biology approach. Accordingly, these findings can provide expression signatures and potential biomarkers in CAD and MI pathophysiology, which can contribute to both diagnosis and therapeutic purposes.
Conclusion: Five signaling pathways were introduced in MI and CAD that were primarily involved in inflammation, including the IL-17 signaling pathway, TNF signaling pathway, toll-like receptor signaling pathway, C-type lectin receptor signaling pathway, and rheumatoid arthritis signaling pathway.
کلیدواژه‌ها
Myocardial infarction؛ Coronary disease؛ Bioinformatics
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