Associations of catechol-O-methyl transferase gene polymorphism (COMT) with morphofunctional indicators in russian and transnistrian students

Vasileva A.A.

M.V. Lomonosov Moscow State University

Vasilyev V.A.

Institute of Gene Biology of the Russian Academy of Sciences

Okushko R.V.

Taras Shevchenko Transnistria State University

Negasheva M.A.

M.V. Lomonosov Moscow State University

Associations of catechol-O-methyl transferase gene polymorphism (COMT) with morphofunctional indicators in russian and transnistrian students

Authors:

Vasileva A.A., Vasilyev V.A., Okushko R.V., Negasheva M.A.

More about the authors

Journal: Molecular Genetics, Microbiology and Virology. 2021;39(1): 42‑49

DOI: 10.17116/molgen20213901142

Downloaded: 57

Download PDF (RU)

Contact the author

Table of contents

To cite this article:

Vasileva AA, Vasilyev VA, Okushko RV, Negasheva MA. Associations of catechol-O-methyl transferase gene polymorphism (COMT) with morphofunctional indicators in russian and transnistrian students. Molecular Genetics, Microbiology and Virology. 2021;39(1):42‑49. (In Russ.)
https://doi.org/10.17116/molgen20213901142

Подписка 2025-2 (Molecular Genetics, Microbiology and Virology)

Close metadata

A feature of human morphology, which is most often considered in connection with gene polymorphism, is excessive fat deposition. Obesity contributes to an increased risk of chronic diseases.

THE AIM OF THIS STUDY

Is to search for possible associations between the rs4680 polymorphism of the COMT gene and the morphofunctional characteristics of students in Russia and Transnistria.

MATERIALS AND METHODS

The data of genotyping (according to the COMT gene) and a comprehensive anthropological examination (18 morphological and functional indicators) of 451 volunteers aged 16—23 years were the materials for the study.

RESULTS

The study of the distribution of alleles in the examined youth sample showed the predominance of the G allele over the A allele (0.533 and 0.467, respectively), which is consistent with data from other researchers obtained from samples of Russian residents of Novosibirsk and Americans of European descent. According to the results of a multi-stage statistical analysis of anthropogenetic data, it was found that young men and women who are carriers of at least one A allele are not prone to reduced metabolic rate and increased body weight compared to holders of the G/G homozygous genotype. In turn, carriers of the G/G genotype are characterized by a deterioration in physical development: they have a lower proportion of the musculoskeletal component of body composition and a low rate of metabolic processes with increased body weight compared to individuals with the A/A or A/G genotype.

CONCLUSION

Statistically significant relationships were revealed between the the COMT gene rs4680 polymorphism and the characteristics of the males and females body composition. The results are consistent with some data from other researchers who find correlations of the G/G genotype with a predisposition to obesity and type 2 diabetes mellitus, as well as to high-fat foods intake.

Keywords:

COMT gene polymorphism

morphological and functional features

body composition

students of Russia and Transnistria

Authors:

Vasileva A.A.

M.V. Lomonosov Moscow State University

Vasilyev V.A.

Institute of Gene Biology of the Russian Academy of Sciences

Okushko R.V.

Taras Shevchenko Transnistria State University

Negasheva M.A.

M.V. Lomonosov Moscow State University

Received:

04.12.2019

Accepted:

20.08.2020

List of references:

Bondarenko EA, Shadrina MI, Druzhkova TA, Akzhigitov RG, Gulyaeva NV, Gekht AB, et al. Association study of rs10462021 polymorphism in the clock gene period3 and different clinical types of depression. Molecular Genetics, Microbiology and Virology. 2018;36(1):23-25. (In Russ.). https://doi.org/10.18821/0208-0613-2018-36-1-23-25
Bondareva EA, Parfenteva OI, Kozlov AV, Zhuravleva US, Kosyakova EV, Karelina EE, et al. The ala/val polymorphism of the ucp2 gene is reciprocally associated with aerobic and anaerobic performance in athletes. Hum Physiol. 2018;44(6):673-678. https://doi.org/10.1134/S036211971806004X
Bondareva EA, Parfenteva OI, Son’kin VD. «Thrifty» genotype: obesity or sports achievement? Moscow University Anthropology Bulletin. 2017;3:56-67. (In Russ.).
Bieliński M, Jaracz M, Lesiewska N, Tomaszewska M, Sikora M, Junik R, et al. Association between COMT Val158Met and DAT1 polymorphisms and depressive symptoms in the obese population. Neuropsychiatr Dis Treat. 2017;13:2221-2229. https://doi.org/10.2147/NDT.S138565
Swinburn BA, Sacks G, Hall KD, McPherson K, Finegood DT, Moodie ML, et al. The global obesity pandemic: shaped by global drivers and local environments. The Lancet. 2011;378(9793):804-814. https://doi.org/10.1016/S0140-6736(11)60813-1
Muc M, Padez C, Manco L. Influence of physical activity on the association between the FTO variant rs9939609 and adiposity in young adults. Am J Hum Biol. 2015;27(5):734-738. https://doi.org/10.1002/ajhb.22712
Dixon JB, Dixon ME, O’Brien PE. Depression in association with severe obesity: changes with weight loss. Arch Inter Med. 2003;163(17):2058-2065. https://doi.org/10.1001/archinte.163.17.2058
Bruffaerts R, Demyttenaere K, Vilagut G, Martinez M, Bonnewyn A, De Graaf R, et al. The relation between body mass index, mental health, and functional disability: a European population perspective. Can J Psychiatry. 2008;3(10):679-688. https://doi.org/10.1177/070674370805301007
Holton S, Fisher J, Nguyen H, Brown WJ, Tran T. Pre-pregnancy body mass index and the risk of antenatal depression and anxiety. Women and Birth. 2019;32(6):508-514. https://doi.org/10.1016/j.wombi.2019.01.007
Stein DJ, Newman TK, Savitz J, Ramesar R. Warriors versus worriers: the role of COMT gene variants. CNS spectrums. 2006;11(10):745-748. https://doi.org/10.1017/s1092852900014863
Lee LO, Prescott CA. Association of the Catechol-O-Methyltransferase (COMT) Val158Met polymorphism and anxiety-related traits: a meta-analysis. Psychiatr Genet. 2014;24(2):52-69. https://doi.org/10.1097/YPG.0000000000000018
Massat I, Souery D, Del-Favero J, Nothen M, Blackwood D, Muir W, et al. Association between COMT (Val 158 Met) functional polymorphism and early onset in patients with major depressive disorder in a European multicenter genetic association study. Mol Psychiatry. 2005;10(6):598-605. https://doi.org/10.1038/sj.mp.4001615
Annerbrink K, Westberg L, Nilsson S, Rosmond R, Holm G, Eriksson E. Catechol O-methyltransferase val158-met polymorphism is associated with abdominal obesity and blood pressure in men. Metabolism. 2008;57(5):708-711. https://doi.org/10.1016/j.metabol.2008.01.012
Solntsava AV, Zagrebaeva OY, Aksenova EA, Shatarnova TM, Emelyantsava TA, Dashkevich EI. Polymorphism genes COMT, MAOA, 5-HTTLPR locus SLC6A4 and morbid obesity in children. Med J. 2016;2:112-115. (In Russ.).
Galvão AC, Krüger RC, Campagnolo PD, Mattevi VS, Vitolo MR, Almeida S. Association of MAOA and COMT gene polymorphisms with palatable food intake in children. J Nutr Biochem. 2012;23(3):272-277. https://doi.org/10.1016/j.jnutbio.2010.12.004
Kring SI, Werge T, Holst C, Toubro S, Astrup A, Hansen T, et al. Polymorphisms of serotonin receptor 2A and 2C genes and COMT in relation to obesity and type 2 diabetes. PLoS One. 2009;4(8):e6696. https://doi.org/10.1371/journal.pone.0006696
Thaler L, Groleau P, Badawi G, Sycz L, Zeramdini N, Too A, et al. Epistatic interactions implicating dopaminergic genes in bulimia nervosa (BN): relationships to eating-and personality-related psychopathology. Prog Neuropsychopharmacol Biol Psychiatry. 2012;39(1):120-128. https://doi.org/10.1016/j.pnpbp.2012.05.019
Rudnev SG, Anisimova AV, Sindeeva LV, Zadorozhnaya LV, Lukina SS, Malakhina AV, et al. Methodological issues of studying variations in subcutaneous fat: a comparison of different types of skinfold calipers. Moscow University Anthropology Bulletin. 2017;3:4-26. (In Russ.).
Nikolaev DV, Smirnov AV, Bobrinskaya IG, Rudnev SG. Bioimpedansnyj analiz sostava tela cheloveka. M.: Nauka; 2009. (In Russ.).
Afifi A, Ejzen S. Statisticheskij analiz. Podhod s ispol’zovaniem EVM. M.: Mir; 1982. (In Russ.).
Dubrovskij SA. Prikladnoj mnogomernyj statisticheskij analiz. M.: Finansy i statistika; 1982. (In Russ.).
Kim DO, M’yuller CU, Klekka UR, Oldenderfer MS, Bleshfild RK. Faktornyj, diskriminantnyj i klasternyj analiz. M.: Finansy and statistika; 1989. (In Russ.).
Kuznetsov EA, Negasheva MA, Anohin VN, Volov NA, Li ED, Bychkova OP. A mathematical model of diagnosing coronary heart disease by means of multiple discriminate analysis. Russian Journal of Cardiology. 2001;5:60-65. (In Russ.). https://doi.org/10.15829/1560-4071-2001-5-60-65
Potekaev NN, Negasheva ES, Zhukova OV, Frigo NV, Negasheva MA, Dmitriev GA, et al. The use of multidimensional discriminant analysis in the diagnosis of neurosyphilis. Russian J Clinical Dermatology and Venereology. 2019;18(1):18-26. (In Russ.). https://doi.org/10.17116/klinderma20191801118
Sudmant PH, Rausch T, Gardner EJ, Handsaker RE, Abyzov A, Huddleston J, et al. An integrated map of structural variation in 2,504 human genomes. Nature. 2015;526(7571):75-81. https://doi.org/10.1038/nature15394
Triska P, Chekanov N, Stepanov V, Khusnutdinova EK, Kumar GPA, Akhmetova V, et al. Between Lake Baikal and the Baltic Sea: genomic history of the gateway to Europe. BMC Genet. 2017;18(1):110. https://doi.org/10.1186/s12863-017-0578-3
Negasheva MA, Zimina SN, Sineva IM, Yudina AM. Morphofunctional adaptation of young students living in different cities of Russia. Moscow University Anthropology Bulletin. 2018;3:41-54. (In Russ.). https://doi.org/10.32521/2074-8132.2018.3.041-054
Davis C, Patte K, Levitan R, Reid C, Tweed S, Curtis C, From motivation to behaviour: a model of reward sensitivity, overeating, and food preferences in the risk profile for obesity. Appetite. 2007;48:12-19. https://doi.org/10.1016/j.appet.2006.05.016
Avsar O, Kuskucu A, Sancak S, Genc E. Are dopaminergic genotypes risk factors for eating behavior and obesity in adults? Neurosci Lett. 2017;654:28-32. https://doi.org/10.1016/j.neulet.2017.06.023

Close metadata