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Copyright (c) 2024 Shihua Tan, Huarui Li, Chen Lin, Fenglin Peng
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
The undersigned hereby assign all rights, included but not limited to copyright, for this manuscript to CMB Association upon its submission for consideration to publication on Cellular and Molecular Biology. The rights assigned include, but are not limited to, the sole and exclusive rights to license, sell, subsequently assign, derive, distribute, display and reproduce this manuscript, in whole or in part, in any format, electronic or otherwise, including those in existence at the time this agreement was signed. The authors hereby warrant that they have not granted or assigned, and shall not grant or assign, the aforementioned rights to any other person, firm, organization, or other entity. All rights are automatically restored to authors if this manuscript is not accepted for publication.Bioinformatics analysis of high-intensity intermittent exercise for prevention of myocardial infarction
Corresponding Author(s) : Fenglin Peng
Cellular and Molecular Biology,
Vol. 70 No. 7: Issue 7
Abstract
The mechanism of target interaction involving high-intensity interval training (HIIT) in improving prognosis of myocardial infarction (MI) remains unclear. This study aimed to establish a visual network of "HIIT-target-disease" by referring to the methods of pharmacological disease and drug bioinformatic analysis, to explore the potential targets, and key targets and predict the potential biological mechanism of high-intensity intermittent exercise in preventing and treating myocardial infarction. Public data resources such as OMIM, NCBI and GeneCards were used to find potential targets of high-intensity intermittent exercise and myocardial infarction. Key targets of overlap between exercise and disease were determined according to the Relevance score values analyzed by GeneCards. The visual network diagram of "HIIT - Multi-target-disease" was constructed by Cytoscape. A total of 4820 disease targets and 528 high-intensity intermittent exercise targets were screened out, and 444 overlapped targets were obtained, including 425 protein targets. Five core protein targets were selected: IL10, PPARA, TNF, IL6, and STAT3. It may pass PI3K-AKT signaling pathway, Insulin resistance pathway, T-cell signaling pathway, TNF signaling pathway, and JAX-STAT signaling pathway and other pathways play a role. Our study comprehensively elucidated the potential targets, key targets and molecular mechanisms of high-intensity intermittent exercise in improving the prognosis of myocardial infarction, and proved that high-intensity intermittent exercise can act on multiple targets and multiple pathways to play a good preventive and therapeutic effect on myocardial infarction, providing scientific theoretical basis for revealing the mechanism of high-intensity intermittent exercise in the prevention and treatment of cardiovascular disease.
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