Machine learning in sports medicine
A new approach in human exercise
DOI:
https://doi.org/10.14198/jhse.2023.182.19Keywords:
Sport medicine, Data mining, Immunometabolism, SportomicsAbstract
The present study aimed to investigate the possible correlations between the cytokine and adipokine Tumour Necrosis Factor Alpha with parameters of body composition and lipid metabolism in young, high-level athletes after an incremental treadmill test observed in a sample of five individuals, male, high-level running athletes who the difficulty of treating large databases with different individuals, multiple biomarkers, and collection times, in addition to physical parameters and sample characteristics, added to the decrease in new findings induced by the application of statistical tools of univariate analysis, indicate the need to apply exploratory machine learning strategies, generating holistic and integrated analysis of the results. The present study showed a negative correlation between TNF and HDL and a similarity between the same TNF and LDL. These findings do not indicate a cause-and-effect relationship but suggest a possible modulation of the immune system, lipid metabolism, and exercise that requires further investigation.
Downloads
References
Antink CH, Braczynski AK, Ganse B. (2021). Learning from machine learning: prediction of age-related athletic performance decline trajectories. Geroscience. 43(5):2547-2559. https://doi.org/10.1007/s11357-021-00411-4
Cust EE, Sweeting AJ, Ball K, Robertson S. (2019). Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance. Journal of Sports Sciences. 37(5):568-600. https://doi.org/10.1080/02640414.2018.1521769
Deo RC. (2015). Machine Learning in Medicine. Circulation. 132(20):1920-1930. https://doi.org/10.1161/circulationaha.115.001593
Girona J, Ville AE, Heras M, Olivé S, Masana L. (1997). Oxidized lipoproteins including HDL and their lipid peroxidation products inhibit TNF-alpha secretion by THP-1 human macrophages. Free Radical Biology & Medicine. 23(4):658-667. https://doi.org/10.1016/S0891-5849(97)00061-0
Gonçalves LCO, Bessa A, Freitas-Dias R, Luzes R, Werneck-de-Castro JPS, Bassini A, Cameron LC. (2012) A sportomics strategy to analyze the ability of arginine to modulate both ammonia and lymphocyte levels in blood after high-intensity exercise. J Int Soc Sports Nutr. 9(1):30. https://doi.org/10.1186/1550-2783-9-30
Gonçalves LCO, Santiago DDC, Neto AMM, Ferreira HSP, Verli MVA, Muniz-Santos R, Lopes JSS, Andrade CMB. (2020). Sportomics analysis of a high-intensity functional training method, the CrossFit. Europub Journal of Health Research. 1(1):2-20. https://doi.org/10.54747/ejhrv1n1-001
Gonçalves LCO, Neto AMM, Bassini A, Prado ES, Muniz-Santos R, Verli MVA, Jurisica L, Lopes JSS, Jurisica I, Andrade CMB, Cameron LC. (2022) Sportomics suggests that albuminuria is a sensitive biomarker of hydration in cross combat. Scientific Reports. 12(8150):1-12. https://doi.org/10.1038/s41598-022-12079-7
Jang DI, Lee AH, Shin HY, Song HR, Park JH, Kang TB, Lee SR, Yang SH. (2021). The Role of Tumor Necrosis Factor Alpha (TNF-α) in Autoimmune Disease and Current TNF-α Inhibitors in Therapeutics. International Journal of Molecular Sciences. 22(5):2719. https://doi.org/10.3390/ijms22052719
Paloucci EM, Loukov D, Bowdish DME, Heisz JJ. (2018). Exercise reduces depression and inflammation but intensity matters. Biological Psychology. 133:79-84. https://doi.org/10.1016/j.biopsycho.2018.01.015
Tanisawa K, Wang G, Seto J, et al. (2020). Sport and exercise genomics: the FIMS 2019 consensus statement update. British Journal of Sport Medicine. 54(16):969-975. https://doi.org/10.1136/bjsports-2019-101532
Torres-Acosta N, O'Keefe JH, O'Keefe EL, Isaacson R, Small G. (2020). Therapeutic Potential of TNF-α Inhibition for Alzheimer's Disease Prevention. Journal of Alzheimer's Disease. 78(2):619-626. https://doi.org/10.3233/jad-200711
Uzzan S, Azab AN. (2021). Anti-TNF-α Compounds as a Treatment for Depression. Molecules. 26(8):2368. https://doi.org/10.3390/molecules26082368
Wang Y, Che M, Xin J, Zheng Z, Li J, Zhang S. (2020). The role of IL-1β and TNF-α in intervertebral disc degeneration. Biomedicine & Pharmacoterapy. 131: 110660. https://doi.org/10.1016/j.biopha.2020.110660
Wang Y, Bao M, Hou C, Wang Y, Zheng L, Peng Y. (2021). The Role of TNF-α in the Pathogenesis of Temporomandibular Disorders. Biological & Pharmaceutical Bulletin. 44(12):1801-1809. https://doi.org/10.1248/bpb.b21-00154
Downloads
Statistics
Published
How to Cite
Issue
Section
License
Copyright (c) 2018 Journal of Human Sport and Exercise
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Each author warrants that his or her submission to the Work is original and that he or she has full power to enter into this agreement. Neither this Work nor a similar work has been published elsewhere in any language nor shall be submitted for publication elsewhere while under consideration by JHSE. Each author also accepts that the JHSE will not be held legally responsible for any claims of compensation.
Authors wishing to include figures or text passages that have already been published elsewhere are required to obtain permission from the copyright holder(s) and to include evidence that such permission has been granted when submitting their papers. Any material received without such evidence will be assumed to originate from the authors.
Please include at the end of the acknowledgements a declaration that the experiments comply with the current laws of the country in which they were performed. The editors reserve the right to reject manuscripts that do not comply with the abovementioned requirements. The author(s) will be held responsible for false statements or failure to fulfill the above-mentioned requirements.
This title is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International license (CC BY-NC-ND 4.0).
You are free to share, copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the license terms under the following terms:
Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
NonCommercial — You may not use the material for commercial purposes.
NoDerivatives — If you remix, transform, or build upon the material, you may not distribute the modified material.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
Transfer of Copyright
In consideration of JHSE’s publication of the Work, the authors hereby transfer, assign, and otherwise convey all copyright ownership worldwide, in all languages, and in all forms of media now or hereafter known, including electronic media such as CD-ROM, Internet, and Intranet, to JHSE. If JHSE should decide for any reason not to publish an author’s submission to the Work, JHSE shall give prompt notice of its decision to the corresponding author, this agreement shall terminate, and neither the author nor JHSE shall be under any further liability or obligation.
Each author certifies that he or she has no commercial associations (e.g., consultancies, stock ownership, equity interest, patent/licensing arrangements, etc.) that might pose a conflict of interest in connection with the submitted article, except as disclosed on a separate attachment. All funding sources supporting the Work and all institutional or corporate affiliations of the authors are acknowledged in a footnote in the Work.
Each author certifies that his or her institution has approved the protocol for any investigation involving humans or animals and that all experimentation was conducted in conformity with ethical and humane principles of research.
Competing Interests
Biomedical journals typically require authors and reviewers to declare if they have any competing interests with regard to their research.
JHSE require authors to agree to Copyright Notice as part of the submission process.
