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Journal of Physical Medicine and Rehabilitation

ISSN: 2690-0297

Research Article Open Access
Volume 6 | Issue 1 |

Network and Pathway Analyses of Exercise Therapy on Cerebral Infarction Related Genes

Mengxian Luo1,#, Chuanmei Zhu2,#, Yujie Xie1, Xin Zeng1, Akira Miyamoto3, Bo Qin4, Chi Zhang1,*
  • 1Rehabilitation Medicine Department, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, Sichuan, People’s Republic of China
  • 2Outpatient Department, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
  • 3Faculty of Rehabilitation, Kansaitama City, Nishikyushu University, Japan
  • 4Rehabilitation Medicine Department, Deyang Second People’s Hospital, Deyang 618000, Sichuan, People’s Republic of China
  • 5Rehabilitation Medicine Department, Nanjiang County Hospital of Traditional Chinese Medicine, Bazhong 636000, Sichuan, People’s Republic of China
  • #These authors contributed equally to this work
+ Affiliations - Affiliations

Corresponding Author

Chi Zhang, chizhang0123@swmu.edu.cn

Received Date: August 07, 2024

Accepted Date: November 05, 2024

Citation:

Luo M, Zhu C, Xie Y, Zeng X, Miyamoto A, Qin B, et al. Network and Pathway Analyses of Exercise Therapy on Cerebral Infarction Related Genes. J Phys Med Rehabil. 2024;6(1):26-34.


Copyright: © 2024 Luo M, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Background: Few efforts were made to conduct a comprehensive analysis of potential genes within the action of exercise therapy on cerebral infarction (CI).

Methods: We used RNA sequencing (RNA-seq) and weighted gene co-expression network analysis (WGCNA) to provide more important insights information than the conventional single-gene analyses. We performed RNA-Seq on the macroscopically preserved and lesioned SD rat CI model (N=4 pairs). The WGCNA constructed a correlation network and identified the modules in the dataset by the dynamic tree-cutting algorithm. We defined the module membership and identified modules associated with external traits. Functional annotation was performed with the Cluster Profiler based on Gene Ontology and KEGG database.

Results: We identified 675 associated genes from RNA-seq. WGCNA defined 38 modules, and 12 modules were found with high connectivity with exercise therapy on CI. Cluster Profiler found 250 significant enrichment pathways. Enrichment results indicated some key metabolic pathways, such as the WNT signaling pathway, cAMP signaling pathway, calcium signaling pathway, Hippo signaling pathway, MAPK signaling pathway, cGMP-PKG signaling pathway.

Conclusion: In this study, we found that important biochemical pathways related to exercise therapy on CI. Such a systematic and comprehensive exploration of the genes will help us to identify potential biomarkers for further research.

Keywords

Cerebral infarction, RNA-seq, Weighted gene coexpression network analysis, Functional enrichment analysis

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Network and Pathway Analyses of Exercise Therapy on Cerebral Infarction Related Genes

Few efforts were made to conduct a comprehensive analysis of potential genes within the action of exercise therapy on cerebral infarction (CI). We used RNA sequencing (RNA-seq) and weighted gene co-expression network analysis (WGCNA) to provide more important insights information than the conventional single-gene analyses. We performed RNA-Seq on the macroscopically preserved and lesioned SD rat CI model (N=4 pairs).

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