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ORIGINAL ARTICLE  EXERCISE PHYSIOLOGY AND BIOMECHANICS 

The Journal of Sports Medicine and Physical Fitness 2017 April;57(4):380-7

DOI: 10.23736/S0022-4707.16.06087-4

Copyright © 2016 EDIZIONI MINERVA MEDICA

language: English

Identification of human exercise-induced physiological function changes based on bioinformatics analysis

Liquan YIN 1, Fei CAI 1, Dong WANG 2, Jiao GE 3

1 Rehabilitation Medicine Department, China-Japan Union Hospital of Jilin University, Changchun, China; 2 Emergency Department, China-Japan Union Hospital of Jilin University, Changchun, China; 3 Digestive Department, Jilin Province People’s Hospital, Changchun, China


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BACKGROUND: This study aimed to explore the physiological functions that were significantly affected by the exercise training.
METHODS: Microarray dataset of GSE53598 was downloaded and preprocessed to identify the differentially expressed genes (DEGs) between pre- and post-exercise muscle biopsies. Then hierarchical clustering, protein-protein interaction (PPI) network construction and functional enrichment analysis were conducted. Finally, the significant physiological functions were identified using logistic regression algorithm.
RESULTS: Total 420 up- and 420 down-regulated DEGs were identified. DEGs including E2F transcription factor 6, hypocretin (Orexin) neuropeptide precursor, caveolin 1, platelet-derived growth factor beta polypeptide, and transforming growth factor, beta 1 had higher degree in the PPI network. Functions related to blood vessel development, regulation of cell migration, negative regulation of gene expression, and negative regulation of metabolic process changed significantly after exercise.
CONCLUSIONS: Functions related to blood vessel development, regulation of cell migration, negative regulation of gene expression and negative regulation of metabolic process may be closely associated with exercising.


KEY WORDS: Exercise - Cluster analysis - Logistic models

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