Biochemical, physiological, and genetic markers play an important role in assessing overall human health, monitoring the health effects of physical activity and sport, the biological response to physical activity, and preventing diseases resulting from sedentary life and / or aging (1, 2). Recent studies show that heredity plays an important role in health benefits and risk reduction for both the prevention and treatment of chronic medical conditions and those genes constitute a significant constituent component in AF (4). Map of Genes that define traits related to Performance and Health (The Human Gene Map for Performance and Health related Fitness Phenotypes-HGMPHFP) identifies and lists a number of genes associated with these traits, as well as with the response to exercise. These genes affect physical activity, exert multiple biochemical, physiological, and physical effects, directly or indirectly related to physical fitness traits, and shed light on the mechanisms of changes in physical and athletic performance, making them valuable candidates for identifying sports talent, tracking and monitoring exercise (17, 18, 21). It is important to keep in mind that physical performance related to health, physical activity in general and sports in particular, depends on many factors, like genetic, anthropological, anatomical, motor and psychomotor skills and external such as exercise, diet , behavior and adherence to AF and socio-cultural ones (3, 22, 30, 33). The main purpose of this study is to present an overview of the variety and use of genetic markers for identifying, tracking and monitoring physical fitness, the positive effects of acute and chronic exercise and potential health risks such as cardio- respiratory, stress oxidative, inflammatory conditions, lesions, and other applications. Another aim of this study is to provide up-to-date information to stakeholders in our country and to raise awareness and encouragement for the use of these indicators for all the broad applications mentioned above in this context..
Genetic markers and their role in assessing health and performance in the context of physical activity and sports
Published in JPASE Journal (Volume 5, Issue 1, June 2023)
Abstract
Biomarkers (BM) are different types of biomolecules, used as indicators to assess the health status and benefits of individuals engaged in physical and sport activity. These markers are selected and vary as to the researchpurposes,whethertrackingexercise, to monitor and analyse the body’s response to physical activity and sport performance. They are also used to explore on biological and physipological mechanisms which are at the base of the health risks from inactivity/ sedentarity as well as poor or excessive training. Heritability research data provide substantial support for the role of genes in influencing a number of health related features such as physical fitness, obesity and nutritional behavior and sport performance. However, Physical Activity, biological response associated with its health benefits and sport performance, display a complex nature influenced by both internal; factors such as genetic, biochemical, physiological and extrinsic one like exercise and training. In Albania, the use of biomarkers in general and the genetic ones in particular in the context of PA and Health studies and programs is very limited and is not a common practice. The main aim of this paper is the analysis and review of current literature regarding the use and role of these markers in this context, explore possibilities to establish a knowhow basis to further apply and implement them in the assessment of health benefits for those engaged with physical activity in general and for the monitoring of health, sport performance and rehabilitation in athletes in our country.
Keywords
Genetic markers, sports, Biomarkers
1. Elaine C Lee et al. (2017). Biomarkers in Sports and Exercise: Tracking Health, Performance, and Recovery in Athletes; 28737585 PMCID: PMC5640004Free PMC
article pubmed.gov
2. Gonzalo Palacios et al. (2015). Biomarkers of physical activity and exercise Suppl 3:237- 44. Doi: 10.3305/nh.2015.31.
3. Michael Gleeson. (2002). Biochemical and immunological markers of overtraining. Journal of Sports Science and Medicine; V 1(2): 31–41.
4. Trudy Moore-Harrison and J. Timothy Lightfoot. (2010). Driven to Be Inactive? The Genetics of Physical Activity. ProgMolBiolTransl Sci.; 94: 271–290.
5. Timothy Lightfoot J. (2011). Current Understanding of the Genetic Basis for Physical Activity. https://doi.org/10.3945/ jn.110.127290.The Journal of Nutrition, Volume 141, Issue 3, Pages 526–530,
6. Xueying Zhang and John R. Speakman. (2019). Genetic Factors Associated with Human Physical Activity: Are Your Genes Too Tight to Prevent You Exercising. 160(4):840-852. doi: 10.1210/ en.2018-00873.pubmed.gov Endocrinology.
7. Giuseppe Lippi et al (2010). Genetics and sports; https://doi.org/10.1093/bmb/ ldp007. British Medical Bulletin, Volume 93, Issue 1, March 2010, Pages 27– 47.
8. SaraPereiraetal.(2018). HowConsistentare Genetic Factors in Explaining Leisure-Time Physical Activity and Sport Participation? The Portuguese Healthy Families Study. Published online by Cambridge University Press.
9. Flavio A. Cadegiani, MD et.al. (2019) Basal Hormones and Biochemical Markers as Predictors of Overtraining Syndrome in Male Athletes: 54 (8): 906–914. The ERO- BASAL Study Athl Train
10. Hurmoz K., et al. (2012). The effect of acute exercises on blood hematological parameters in handball players AJMR-11- 1247 ISSN 1996-0808.African Journal of Microbiology Research Vol. 6(9),2027-2032, DOI: 10.5897
11. Savucu Y. et al. (2012). Effect of long- term training on physical and hematological values in young female handball players. Vol. 6(5), pp. 1018-1023. African Journal of Microbiology Research.
12. Dhurata Bozo and E. Lleshi (2012). Comparison of Albanian female volleyball player with anthropometric, performance and haematological parameters; DOJ: 104100/ihse.2012. 7Proc1.06. Journal of Human Sport and Exercise 7(1Proc).
13. Chapman D.W. et al. (2013) .Changes in serum fast and slow skeletal troponin i concentration following maximal eccentric contractions. ISSN: 1440-2440. Official Journal of Sports Medicine Australia (SMA) Journal of Science and Medicine in Sport
14. Kara E. Hannibal and Mark D. Bishop. (2014). Chronic Stress, Cortisol Dysfunction, and Pain: A Psychoneuroendocrine Rationale for Stress Management in Pain Rehabilitation. PMC4263906 PhysTher. 1816–1825. doi: 10.2522/ptj.20130597PMCID : PMC4263906 PMID: 25035267
15. Dubreucq S. et al. (2012). Ventral tegmental area cannabinoid type-1 receptors control voluntary exercise performance. . 73(9):895–903. Biol Psychiatry.
16. Hoble A, et al. (2014). Cardiopulmonary fitness and heart rate recovery as predictors of mortality in a referral population. Mar 24;3(2.). J Am Heart Assoc
17. Molly. S et al. (2009). The Human Gene Map for Performance and Health-Related Fitness Phenotypes: The 2006–2007 Update. Med Sci Sports Exerc. Jan;41(1): 35-73.doi: 10.1249/mss.0b013e3181844179.
18. Stenholm S et al. (2014). Obesity and muscle strength as long-term determinants of all-cause mortality--a 33-year folloë-up of the Mini-Finland Health Examination.38 (8):1126-32. Survey. Int J Obes (Lond).
19. Hoble A, et al. (2014). Cardiopulmonary fitness and heart rate recovery as predictors of mortality in a referral population. Mar 24;3(2.). J Am Heart Assoc
20. Mariaelisa Graff et al. (2017). Genome- wide physical activity interactions in adiposity A meta-analysis of 200,452 adults. PLOS Genetics 13 (4): e1006528 DOI: 10.1371/ journal.pgen.1006528
21. Deborah L et al. (2013). DRD4 Genotype Predicts Longevity in Mouse and Human. 33(1):286–291. J Neurosci.
22. Hara M et al. (2018). Genome-wide association study of leisure-time exercise behavior in Japanese adults. 50(12):2433– 2441. Med Sci Sports Exerc.
23. Michaił Kosowski et al. (2019). Cardiovascular stress biomarker assessment of middle-aged non-athlete marathon runners.PMID: 30744458 DOI: 10.1177/2047487318819198. Feb;26(3):318- 327 Epub
24. Jose Miguel Pascual-Gamarra at al. (2019). Association between UCP1, UCP2, and UCP3 gene polymorphisms with markers of adiposity in European adolescents: 14(6):e12504DOI:10.1111/ijpo.12504. Pediatric Obesity.Project: HELENA - The Healthy Lifestyle in Europe by Nutrition in Adolescence
25. Aaltonen S et al. (2013). Genetic and environmental influences on longitudinal changes in leisure-time physical activity from adolescence to young adulthood. 16(2):535 Hum Genet.
26. Bruneau M Jr et al. (2017). The angiotensin-converting enzyme insertion/ deletion polymorphism rs4340 associates with habitual physical activity among European American adults. 5(5):524–530. Mol Genet Genomic Med.
27. Van Deveire KN et al. (2012). Variants of the ankyrin repeat domain 6 gene (ANKRD6) and muscle and physical activity phenotypes among European-derived American adults. 26(7):1740–1748. J Strength Cond Res.
28. Kim J et al. (2011). Practical issues in genomewide association studies for physical activity. 1229(1):38–44 Ann N Y Acad Sci.
29. Bouchard C. (2011). Overcoming barriers to progress in exercise genomics. 39(4):212– 217 Exerc Sport Sci Rev.
30. Joseph. J. Castillo et al. (2017). Gene- nutrient interactions and susceptibility to human obesity.doi: 10.1186/s12263-017- 0581-3.Genes Nutr.
31. Anna V. Wilkinson, et al. (2013). Sensation- seeking genes and physical activity in youth. Genes Brain Behav. 12(2):181–188
32. Westerterp-Plantenga M. et al. (2014). Heritability and genetic etiology of habitual physical activity: a twin study with objective measures. Genes Nutr; 9(4):4.
33. De Geus EJ et al. (2014). Genetics of regular exercise and sedentary behaviours. 17(4):262–27 Twin Res Hum Genet.
34. De Vilhena et al. (2012). Genetics of Physical Activity and Physical Inactivity in Humans. DOI 10.1007/s10519-012-9534-1 Behaviour Genetics. Springer.
35. Dias RG. (2011). Genética, performance física humana e doping genético: o senso comum versus a realidad ecientífica. ISSN 1517-8692 Rev Bras Med.
