Integrative Analysis to discover the association between physical exercise and COVID-۱۹: Molecular signaling pathway analysis

Publish Year: 1400
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

SSRC13_072

تاریخ نمایه سازی: 8 شهریور 1401

Abstract:

COVID-۱۹ pandemic is associated with pro-inflammatory cytokines production and lung-damaging. While the decisive pathomechanism of COVID-۱۹ is not entirely comprehended, some molecular pathways are detected to develop COVID-۱۹ processes, including metabolism, stimulation of immune systems, inflammatory and oxidative stress in this condition. There are no effective treatment approaches to prevent the progression of COVID-۱۹. Furthermore, based on the immense evidence, exercise has anti-inflammatory properties, which could improve the immune system s function and also might be a strategy to offset these molecular mechanisms such as oxidative stress and inflammation. Based on the literature review, physical exercise could mediate pathomechanism and decrease inflammation and oxidative stress. This study aims to detect the vital hub genes stimulated by exercise in COVID-۱۹ processes and assess how exercise could affect the pathomechanism of COVID-۱ ۹. Moreover, in this in-silico study and artificial intelligence, we found that the essential molecular targets might regulate these hub genes by physical activity. Firstly, the GEO database collected related genes. After that, several parameters are determined to select various thousand genes using the R programming language. Finally, the program output is analyzed and assessed by databases such as KEGG, Reactome, Panther, and Wikipathway. A network analysis between selected genes is visualized by Cytoscape software. This study found that the exercise might regulate and ameliorate function molecules correlated with COVID-۱۹. In addition, exercise activity could modulate apoptosis, inflammation signaling via NF-κB, MAPK pathways in the COVID-۱۹ condition. In addition, there is a strong association between logical COVID-۱۹ gene networks and exercise.