Mazur Yu. Yu, Ilyin V. M., Pastukhova V. A., Drozdovska S. B.
THE EFFECTIVENESS OF EXERCISE APPLICATION IN GENETICALLY PREDISPOSED OBESITY AND DIABETES
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About the author:
Mazur Yu. Yu, Ilyin V. M., Pastukhova V. A., Drozdovska S. B.
Heading:
LITERATURE REVIEWS
Type of article:
Scientific article
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The article is dedicated to the search for molecular-genetic markers that influence the effectiveness of exercises on anthropometric and biochemical parameters, as well as body composition in cases of obesity and diabetes. The present review aims to investigate the impact of health related exercise programs on metabolism in genetically predisposed obesity and diabetes and to identify genetic predictors of effective exercise application. The study analyzes the contribution of genetic factors to the development of obesity and diabetes, as well as the underlying mechanisms. It explores the molecular basis for the occurrence of monogenic and polygenic obesity, as well as type I and type II diabetes. The article provides a list of genes responsible for obesity and diabetes. This review highlights the most significant findings from the epigenetic factors involved in the development and predisposition to obesity and diabetes, such as the effects of exercise and nutrients, and their mechanisms. The article discusses the heterogeneity of the organism's response to exercise and the possibility of predicting the effect of exercise for weight correction and normalization of metabolic parameters. Although different studies vary in the list of candidate genes involved in the response to physical activity and in the other approaches of obesity correction, only 24 genetic markers of fat loss effectiveness in response to exercises have been identified, most of which were discovered through candidate gene studies.
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Bibliography:
- Kozhan N. Epidemiolohiya diabetu. Propozytsiyi do prohramy. Atlas: Diabet v Ukrayini; 2023. Dostupno: https://diabetesatlas.com.ua/ epidemiologia-diabetu-2023. [in Ukrainian].
- World obesity. Global obesity observatory, Ukraine. World Obesity Federation; 2024. Available from: https://data.worldobesity.org/country/ ukraine-224/.
- Chakravarthy MV, Booth FW. Eating, exercise, and “thrifty” genotypes: connecting the dots toward an evolutionary understanding of modern chronic diseases. J Appl Physiol. 2004;96(1):3-10. DOI: https://doi.org/10.1152/ japplphysiol.00757.2003.
- Speakman JR. Thrifty genes for obesity, an attractive but flawed idea, and an alternative perspective: the ‘drifty gene’ hypothesis. Int J Obes. 2008;32(11):1611-7. DOI: https://doi.org/10.1038/ijo.2008.161.
- Fuchsberger C, Flannick J, Teslovich TM, Mahajan A, Agarwala V, Gaulton KJ, et al. The genetic architecture of type 2 diabetes. Nature. 2016;536(7614):41-7. DOI: https://doi.org/10.1038/nature18642.
- Yu G, Tam HC, Huang C, Shi M, Lim CK, Chan JC, et al. Lessons and applications of omics research in diabetes epidemiology. Curr Diabetes Rep. 2024;24(3):27-44. DOI: https://doi.org/10.1007/s11892-024-01533-7.
- Jain S, Bakolitsa C, Brenner SE, Radivojac P, Moult J, Repo S, et al. CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods. Genome Biol. 2024;25(1):53. DOI: https://doi.org/10.1186/ s13059-023-03113-6.
- Friedman JE. Obesity and gestational diabetes mellitus pathways for programming in mouse, monkey, and man - where do we go next? The 2014 norbert freinkel award lecture. Diabetes Care. 2015;38(8):1402-11. DOI: https://doi.org/10.2337/dc15-0628.
- Heindel JJ, Blumberg B. Environmental obesogens: mechanisms and controversies. Annu Rev Pharmacol Toxicol. 2019;59(1):89-106. DOI: https://doi.org/10.1146/annurev-pharmtox-010818-021304.
- Heindel JJ, Howard S, Agay-Shay K, Arrebola JP, Audouze K, Babin PJ, et al. Corrigendum to “obesity II: establishing causal links between chemical exposures and obesity” [biochem. pharmacol. 199 (2022) 115015]. Biochem Pharmacol. 2022;202:115144. DOI: https://doi. org/10.1016/j.bcp.2022. 115144.
- Creasy SA, Ostendorf DM, Blankenship JM, Grau L, Arbet J, Bessesen DH, et al. Effect of sleep on weight loss and adherence to diet and physical activity recommendations during an 18-month behavioral weight loss intervention. Int J Obes. 2022;46(8):1510-1517. DOI: https:// doi.org/10.1038/s41366-022-01141-z.
- Creasy SA, Lang W, Tate DF, Davis KK, Jakicic JM. Pattern of daily steps is associated with weight loss: secondary analysis from the stepup randomized trial. Obesity. 2018;26(6):977-84. DOI: https://doi.org/10.1002/oby.22171.
- Loos RJ. The genetics of adiposity. Curr Opin Genet Amp Dev. 2018;50:86-95. DOI: https://doi.org/10.1016/j.gde.2018.02.009.
- Fernández-Verdejo R, Aguirre C, Galgani JE. Issues in measuring and interpreting energy balance and its contribution to obesity. Curr Obes Rep. 2019;8(2):88-97. DOI: https://doi.org/10.1007/s13679-019-00339-z.
- Liu BN, Liu XT, Liang ZH, Wang JH. Gut microbiota in obesity. World J Gastroenterol. 2021;27(25):3837-50. DOI: https://doi.org/10.3748/ wjg.v27. i25.3837.
- WHO. Noncommunicable diseases: risk factors. Global Health Observatory data. Geneva: World Health Organization; 2022. Available from: https:// www.who.int/data/gho/data/themes/topics/topic-details/GHO/ncd-risk-factors.
- Wardle J, Carnell S, Haworth CM, Plomin R. Evidence for a strong genetic influence on childhood adiposity despite the force of the obesogenic environment. Am J Clin Nutr. 2008;87(2):398-404. DOI: https://doi.org/10.1093/ajcn/87.2.398.
- Bouchard C. Genetics of obesity: what we have learned over decades of research. Obesity. 2021;29(5):802-20. DOI: https://doi. org/10.1002/oby. 23116.
- Narayan KM, Boyle JP, Thompson TJ, Gregg EW, Williamson DF. Effect of BMI on lifetime risk for diabetes in the U.S. Diabetes Care. 2007;30(6):1562-6. DOI: https://doi.org/10.2337/dc06-2544.
- Knowler WC, Barrett-Connor E, Fowler SE, Hamman RF, Lachin JM, Walker EA, et al. Reduction in the incidence of type 2 diabetes with lifestyle intervention or metformin. New Engl J Med. 2002;346(6):393-403. DOI: https://doi.org/10.1056/nejmoa012512.
- Kahan S, Fujioka K. Obesity pharmacotherapy in patients with type 2 diabetes. Diabetes Spectr. 2017;30(4):250-7. DOI: https://doi. org/10.2337/ ds17-0044.
- Chandrasekaran P, Weiskirchen R. The role of obesity in type 2 diabetes mellitus - an overview. Int J Mol Sci. 2024;25(3):1882. DOI: https://doi.org/10.3390/ijms25031882.
- Çetinkaya S, Güran T, Kurnaz E, Keskin M, Sağsak E, Savaş Erdeve S, et al. A patient with proopiomelanocortin deficiency: an increasingly important diagnosis to make. J Clin Res Pediatr Endocrinol. 2018;10(1):68-73. DOI: https://doi.org/10.4274/jcrpe.4638.
- Van Dijck E, Beckers S, Diels S, Huybrechts T, Verrijken A, Van Hoorenbeeck K, et al. Rare heterozygous PCSK1 variants in human obesity: the contribution of the p.y181h variant and a literature review. Genes. 2022;13(10):1746. DOI: https://doi.org/10.3390/genes13101746.
- Loos RJ, Yeo GS. The genetics of obesity: from discovery to biology. Nat Rev Genet. 2022;23(2):120-133. DOI: https://doi.org/10.1038/ s41576-021-00414-z.
- Mahmoud R, Kimonis V, Butler MG. Genetics of obesity in humans: a clinical review. Int J Mol Sci. 2022;23(19):11005. DOI: https://doi. org/10.3390/ ijms231911005.
- Rankinen T, Zuberi A, Chagnon YC, Weisnagel SJ, Argyropoulos G, Walts B, et al. The human obesity gene map: the 2005 update. Obesity. 2006;14(4):529-644. DOI: https://doi.org/10.1038/oby.2006.71.
- Yengo L, Sidorenko J, Kemper KE, Zheng Z, Wood AR, Weedon MN, et al. Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Hum Mol Genet. 2018;27(20):3641-9. DOI: https://doi.org/10.1093/ hmg/ddy271.
- Frayling TM, Timpson NJ, Weedon MN, Zeggini E, Freathy RM, Lindgren CM, et al. A common variant in the FTO gene is associated with body mass index and predisposes to childhood and adult obesity. Science. 2007;316(5826):889-94. DOI: https://doi.org/10.1126/ science.1141634.
- Scuteri A, Sanna S, Chen WM, Uda M, Albai G, Strait J, et al. Genome-Wide association scan shows genetic variants in the FTO gene are associated with obesity-related traits. PLoS Genet. 2007;3(7):e115. DOI: https://doi.org/10. 1371/journal.pgen.0030115.
- Kilpeläinen TO, Qi L, Brage S, Sharp SJ, Sonestedt E, Demerath E, et al. Physical activity attenuates the influence of FTO variants on obesity risk: a meta-analysis of 218,166 adults and 19,268 children. PLoS Med. 2011;8(11):e1001116. DOI: https://doi.org/10.1371/journal. pmed.1001116.
- Redondo MJ, Oram RA, Steck AK. Genetic risk scores for type 1 diabetes prediction and diagnosis. Curr Diabetes Rep. 2017;17(12):129. DOI: https://doi.org/10.1007/s11892-017-0961-5.
- Mrena S, Virtanen SM, Laippala P, Kulmala P, Hannila ML, Akerblom HK, et al. Models for predicting type 1 diabetes in siblings of affected children. Diabetes Care. 2006;29(3):662-667. DOI: https://doi.org/10.2337/diacare. 29.03.06.dc05-0774.
- Fløyel T, Kaur S, Pociot F. Genes affecting β-cell function in type 1 diabetes. Curr Diabetes Rep. 2015;15(11):97. DOI: https://doi. org/10.1007/s11892-015-0655-9.
- Groop L, Pociot F. Genetics of diabetes – Are we missing the genes or the disease? Mol Cell Endocrinol. 2014;382(1):726-39. DOI: https:// doi.org/10. 1016/j.mce.2013.04.002.
- Willemsen G, Ward KJ, Bell CG, Christensen K, Bowden J, Dalgård C, et al. The concordance and heritability of type 2 diabetes in 34,166 twin pairs from international twin registers: the discordant twin (DISCOTWIN) consortium. Twin Res Hum Genet. 2015;18(6):762-71. DOI: https://doi.org/10.1017/ thg.2015.83.
- Hara K, Shojima N, Hosoe J, Kadowaki T. Genetic architecture of type 2 diabetes. Biochem Biophys Res Commun. 2014;452(2):213-20. DOI: https://doi.org/10.1016/j.bbrc.2014.08.012.
- Tattersall RB, Fajans SS. Prevalence of diabetes and glucose intolerance in 199 offspring of thirty-seven conjugal diabetic parents. Diabetes. 1975;24(5):452-62. DOI: https://doi.org/10.2337/diab.24.5.452.
- Suzuki K, Hatzikotoulas K, Southam L, Taylor HJ, Yin X, Lorenz KM, et al. Multi-ancestry genome-wide study in >2.5 million individuals reveals heterogeneity in mechanistic pathways of type 2 diabetes and complications. medRxiv. 2023. DOI: https://doi.org/10.1101/063297.
- Eizirik DL, Pasquali L, Cnop M. Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failure. Nat Rev Endocrinol. 2020;16(7):349-62. DOI: https://doi.org/10.1038/s41574-020-0355-7.
- McCarthy MI. Genomics, type 2 diabetes, and obesity. New Engl J Med. 2010;363(24):2339-50. DOI: https://doi.org/10.1056/nejmra0906948.
- Dupuis J, Langenberg C, Prokopenko I, Saxena R, Soranzo N, Jackson AU, et al. New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk. Nat Genet. 2010;42(2):105-16. DOI: https://doi.org/10.1038/ng.520.
- Segerstolpe Å, Palasantza A, Eliasson P, Andersson EM, Andréasson AC, Sun X, et al. Single-Cell transcriptome profiling of human pancreatic islets in health and type 2 diabetes. Cell Metab. 2016;24(4):593-607. DOI: https://doi.org/10.1016/j.cmet.2016.08.020.
- George S. A family with severe insulin resistance and diabetes due to a mutation in AKT2. Science. 2004;304(5675):1325-8. DOI: https:// doi.org/10. 1126/science.1096706.
- Oleksyk TK, Wolfsberger WW, Weber AM, Shchubelka K, Oleksyk OT, Levchuk O, et al. Genome diversity in Ukraine. GigaScience. 2021;10(1):1-14. DOI: https://doi.org/10.1093/gigascience/giaa159.
- Sulaieva OM, Belemets NI, Honcharov SV, Dosenko VIe, Maslii KIu, Larin OS. Gender differences in the relation between Q223R polymorphism of leptin receptor gene and risk of type 2 diabetes mellitus. Clin Endocrinol Endocr Surg. 2018;4(64):28-34. DOI: https://doi. org/10.24026/1818-1384.4(64).2018.149993.
- Abaturov A, Nikulina A. Role of genetic modification of the PNPLA3 gene in predicting metabolically unhealthy obesity and metabolic associated fatty liver disease in children European Journal of Clinical and Experimental Medicine. 2023;21(1):5-13.
- Bellicha A, van Baak MA, Battista F, Beaulieu K, Blundell JE, Busetto L, et al. Effect of exercise training on weight loss, body composition changes, and weight maintenance in adults with overweight or obesity: An overview of 12 systematic reviews and 149 studies. Obes Rev. 2021;22(4):e13256. DOI: 10.1111/obr.13256.
- Ochs-Balcom HM, Preus L, Nie J, Wactawski-Wende J, Agyemang L, Neuhouser ML, et al. Physical activity modifies genetic susceptibility to obesity in postmenopausal women. Menopause. 2018;25(10):1131-7. DOI: https://doi.org/10.1097/gme.0000000000001134.
- Andersen MK, Ängquist L, Bork-Jensen J, Jonsson AE, Stinson SE, Sandholt CH, et al. Physical activity and insulin sensitivity independently attenuate the effect of fto rs9939609 on obesity. Diabetes Care. 2023;46(5):985-992. DOI: https://doi.org/10.2337/dc22-2078.
- Antonio J, Knafo S, Kapoor R, Tartar JL. A fat mass and obesity-associated gene polymorphism influences fat mass in exercise-trained individuals. J Int Soc Sports Nutr. 2018;15(1):40. DOI: https://doi.org/10.1186/s12970-018-0246-7.
- Pickering C, Kiely J. Do non-responders to exercise exist – and if so, what should we do about them? Sports Med. 2018;49(1):1-7. DOI: https://doi.org/10.1007/s40279-018-01041-1.
- Sarzynski MA, Rice TK, Després JP, Pérusse L, Tremblay A, Stanforth PR, et al. The HERITAGE family study: a review of the effects of exercise training on cardiometabolic health, with insights into molecular transducers. Med Amp Sci Sports Amp Exerc. 2022;54(5):1-43. DOI: https://doi.org/10.1249/mss. 0000000000002859.
- Yates WR, Johnson C, McKee P, Cannon-Albright LA. Genetic analysis of low BMI phenotype in the utah population database. PLoS ONE. 2013;8(12):e80287. DOI: https://doi.org/10.1371/journal.pone.0080287.
- Brittain EL, Han L, Annis J, Master H, Hughes A, Roden DM, et al. Physical activity and incident obesity across the spectrum of genetic risk for obesity. JAMA Netw Open. 2024;7(3):e243821. DOI: https://doi.org/10.1001/ jamanetworkopen.2024.3821.
- Leońska-Duniec A, Ahmetov I, Zmijewski P. Genetic variants influencing effectiveness of exercise training programmes in obesity – an overview of human studies. Biol Sport. 2016;33(3):207-14. DOI: https://doi.org/10. 5604/20831862.1201052.
- Mazur II, Drozdovska S, Andrieieva O, Vinnichuk Y, Polishchuk A, Dosenko V, et al. PPARGC1A gene polymorphism is associated with exercise-induced fat loss. Mol Biol Rep. 2020;47(10):7451-7. DOI: https://doi.org/10.1007/ s11033-020-05801-z.
- Drozdovska S, Palladina O, Polishchuk A, Yuriev S. The combined effect of dietary supplement “Leptin Manager” and power fitness exercises on weight loss in women with different LEPR (rs1137101) genotypes. Sporto Moksl Sport Sci. 2018;2(92):48-54. DOI: https:// doi.org/10.15823/sm.2018.17.
- dos Santos JM, Moreli ML, Tewari S, Benite-Ribeiro SA. The effect of exercise on skeletal muscle glucose uptake in type 2 diabetes: an epigenetic perspective. Metabolism. 2015;64(12):1619-28. DOI: https://doi.org/10.1016/ j.metabol.2015.09.013.
- Leońska-Duniec A, Cięszczyk P, Ahmetov II. Sports, exercise, and nutritional genomics. Elsevier; 2019. Chapter, Genes and individual responsiveness to exercise-induced fat loss; p. 231-47. DOI: https://doi.org/10.1016/b978-0-12-816193-7.00011-7.
- Bojarczuk A, Boulygina EA, Dzitkowska-Zabielska M, Łubkowska B, Leońska-Duniec A, Egorova ES, et al. Genome-Wide association study of exercise-induced fat loss efficiency. Genes. 2022;13(11):1975. DOI: https://doi.org/10.3390/genes13111975.
- Leońska-Duniec A, Jastrzębski Z, Jażdżewska A, Moska W, Lulińska-Kuklik E, Sawczuk M, et al. Individual Responsiveness to ExerciseInduced Fat Loss and Improvement of Metabolic Profile in Young Women is Associated with Polymorphisms of Adrenergic Receptor Genes. J Sports Sci Med. 20181;17(1):134-144.
- Bojarczuk A, Egorova ES, Dzitkowska-Zabielska M, Ahmetov II. Genetics of exercise and diet-induced fat loss efficiency: a systematic review. J Sports Sci Med. 2024;23(1):236-57. DOI: https://doi.org/10.52082/jssm.2024.236.
- Lin WY, Chan CC, Liu YL, Yang AC, Tsai SJ, Kuo PH. Performing different kinds of physical exercise differentially attenuates the genetic effects on obesity measures: Evidence from 18,424 Taiwan Biobank participants. PLOS Genet. 2019;15(8):e1008277. DOI: https://doi. org/10.1371/journal.pgen. 1008277.
- Barker DJ. Maternal nutrition, fetal nutrition, and disease in later life. Nutrition. 1997;13(9):807-13. DOI: https://doi.org/10.1016/s0899- 9007(97) 00193-7.
- Feil R, Fraga MF. Epigenetics and the environment: emerging patterns and implications. Nat Rev Genet. 2012;13(2):97-109. DOI: https:// doi.org/10. 1038/nrg3142.
- Saben JL, Boudoures AL, Asghar Z, Thompson A, Drury A, Zhang W, et al. Maternal metabolic syndrome programs mitochondrial dysfunction via germline changes across three generations. Cell Rep. 2016;16(1):1-8. DOI: https://doi.org/10.1016/j.celrep.2016.05.065.
- Rönn T, Ofori JK, Perfilyev A, Hamilton A, Pircs K, Eichelmann F, et al. Genes with epigenetic alterations in human pancreatic islets impact mitochondrial function, insulin secretion, and type 2 diabetes. Nat Commun. 2023;14(1):8040. DOI: https://doi.org/10.1038/s41467-023- 43719-9.
- Grazioli E, Dimauro I, Mercatelli N, Wang G, Pitsiladis Y, Di Luigi L, et al. Physical activity in the prevention of human diseases: role of epigenetic modifications. BMC Genom. 2017;18(8):802. DOI: https://doi.org/10. 1186/s12864-017-4193-5.
- Barrès R, Zierath JR. The role of diet and exercise in the transgenerational epigenetic landscape of T2DM. Nat Rev Endocrinol. 2016;12(8):441-51. DOI: https://doi.org/10.1038/nrendo.2016.87.
- Abubakar B, Usman D, Sanusi KO, Azmi NH, Imam MU. Preventive epigenetic mechanisms of functional foods for type 2 diabetes. Diabetology. 2023;4(3):259-77. DOI: https://doi.org/10.3390/diabetology4030023.
- Barrón-Cabrera E, Ramos-Lopez O, González-Becerra K, Riezu-Boj JI, Milagro FI, Martínez-López E, et al. Epigenetic modifications as outcomes of exercise interventions related to specific metabolic alterations: a systematic review. Lifestyle Genom. 2019;12(1-6):25-44. DOI: https://doi.org/10.1159/ 000503289.
- Yumi Noronha N, da Silva Rodrigues G, Harumi Yonehara Noma I, Fernanda Cunha Brandao C, Pereira Rodrigues K, Colello Bruno A, et al. 14-weeks combined exercise epigenetically modulated 118 genes of menopausal women with prediabetes. Front Endocrinol. 2022;13:895489. DOI: https://doi.org/10. 3389/fendo.2022.895489.
- Smith JA. Skeletal muscle responses to physical activity in health and metabolic disease. Campus Solna: Karolinska Institutet; 2024. 108 p.
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«Bulletin of problems biology and medicine», 2024 Issue 3, 174, 36-49 pages, index UDC 575.162 + 575.167