Literature DB >> 32760941

Integration of metabolomics and proteomics to reveal the metabolic characteristics of high-intensity interval training.

Jingjing Zhao1, Yang Wang, Dan Zhao, Lizhen Zhang, Peijie Chen, Xin Xu.   

Abstract

High-intensity interval training (HIIT) can elicit a greater training stimulus to improve maximal aerobic capacity and is frequently applied in professional sports training. Although select metabolic pathways have been examined, the omics-scale molecular response to the HIIT has not been fully characterized. The longitudinal multi-omic profiling, including metabolome and proteome was performed on urine samples from 23 healthy young soccer players before and after the HIIT exercise. Metabolomics revealed the metabolomic changes during the HIIT, including steroid hormone metabolites, amino acid biosynthesis and relevant metabolites. Furthermore, changes in protein expression in metabolic pathways involved in energy metabolism, oxidative stress as well as immune pathways were found by proteomics, which provide the foundation for understanding metabolomic changes during the HIIT. There was a significant association between the HIIT and the urinary omic profiles, with the alteration in metabolic pathways associated with long-term adaptation to training. Future studies should focus on the validation of these findings and the development of metabolic models to monitor the training intensity and the adaptation in athletes.

Entities:  

Mesh:

Year:  2020        PMID: 32760941     DOI: 10.1039/d0an01287d

Source DB:  PubMed          Journal:  Analyst        ISSN: 0003-2654            Impact factor:   4.616


  5 in total

1.  Metabolomics in Exercise and Sports: A Systematic Review.

Authors:  Kayvan Khoramipour; Øyvind Sandbakk; Ammar Hassanzadeh Keshteli; Abbas Ali Gaeini; David S Wishart; Karim Chamari
Journal:  Sports Med       Date:  2021-10-30       Impact factor: 11.136

2.  Using Metabolomics to Differentiate Player Positions in Elite Male Basketball Games: A Pilot Study.

Authors:  Kayvan Khoramipour; Abbas Ali Gaeini; Elham Shirzad; Kambiz Gilany; Karim Chamari; Øyvind Sandbakk
Journal:  Front Mol Biosci       Date:  2021-05-13

3.  Urinary Proteomics of Simulated Firefighting Tasks and Its Relation to Fitness Parameters.

Authors:  Ting Zhu; Yuxiang Hu; Jooyeon Hwang; Dan Zhao; Libin Huang; Liang Qiao; Ankui Wei; Xin Xu
Journal:  Int J Environ Res Public Health       Date:  2021-10-11       Impact factor: 3.390

4.  Analysis of Teaching Tactics Characteristics of Track and Field Sports Training in Colleges and Universities Based on Deep Neural Network.

Authors:  Wei Wang
Journal:  Comput Intell Neurosci       Date:  2022-08-21

5.  A Metabolomic Approach and Traditional Physical Assessments to Compare U22 Soccer Players According to Their Competitive Level.

Authors:  João Pedro da Cruz; Fábio Neves Dos Santos; Felipe Marroni Rasteiro; Anita Brum Marostegan; Fúlvia Barros Manchado-Gobatto; Claudio Alexandre Gobatto
Journal:  Biology (Basel)       Date:  2022-07-25
  5 in total

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