Polymorphism of the MAOA Gene (rs1137070) and Internet Addiction in Adolescents

Cover Page

Cite item

Full Text

Open Access Open Access
Restricted Access Access granted
Restricted Access Subscription Access

Abstract

Monoamine oxidase A (MAOA) catalyzes the degradation of norepinephrine, dopamine, and serotonin, i.e. neurotransmitters involved in the pathogenesis of pathological addictions, including internet addiction (IA). Gene MAOA has been actively studied in terms of genetic predisposition to the development of aggressive behavior potentially involved in the formation of IA. The study included 602 adolescents (9–18 years old, mean age = 14.6, SD 1.7) from the Angara-Yenisei macroregion (Russians n = 329, Tuvans n = 158, Khakasses n = 158). The type of IA was assessed according to the Chen scale (Chen Internet Addiction Scale, CIAS), gene polymorphism was detected using real-time PCR. The distribution of the TT genotype of MAOA rs1137070 polymorphism associated with low activity of the monoamine oxidase A enzyme and aggressive behavior affected by IA, was found to be significantly higher in Tuvan adolescents compared with Russians (31.1/21.2% p = = 0.02). Pathological internet addiction (more than 65 points by Chen scale) often observed among Khakass adolescents compared to Russian (26.4/15.5%, p = 0.03). Thus, the allelic variant T of MAOA rs1137070 polymorphism appears to be potential marker for dependent and aggressive behavior to form, Asian representatives being more susceptible to the development of pathological addictions than Caucasian populations.

About the authors

K. V. Kopylova

Scientific Research Institute of Medical Problems of the North, Federal Research Center “Krasnoyarski Scientific
Center Siberian Branch of the Russian Academy of Scienses”

Email: smarinv@yandex.ru
Russia, 660022, Krasnoyarsk

I. V. Marchenko

Scientific Research Institute of Medical Problems of the North, Federal Research Center “Krasnoyarski Scientific
Center Siberian Branch of the Russian Academy of Scienses”

Email: smarinv@yandex.ru
Russia, 660022, Krasnoyarsk

M. V. Shubina

Scientific Research Institute of Medical Problems of the North, Federal Research Center “Krasnoyarski Scientific
Center Siberian Branch of the Russian Academy of Scienses”

Email: smarinv@yandex.ru
Russia, 660022, Krasnoyarsk

N. N. Gorbacheva

Scientific Research Institute of Medical Problems of the North, Federal Research Center “Krasnoyarski Scientific
Center Siberian Branch of the Russian Academy of Scienses”

Email: smarinv@yandex.ru
Russia, 660022, Krasnoyarsk

I. A. Novitckii

Scientific Research Institute of Medical Problems of the North, Federal Research Center “Krasnoyarski Scientific
Center Siberian Branch of the Russian Academy of Scienses”

Email: smarinv@yandex.ru
Russia, 660022, Krasnoyarsk

M. V. Smolnikova

Scientific Research Institute of Medical Problems of the North, Federal Research Center “Krasnoyarski Scientific
Center Siberian Branch of the Russian Academy of Scienses”

Author for correspondence.
Email: smarinv@yandex.ru
Russia, 660022, Krasnoyarsk

References

  1. Mboya I.B., Leyaro B.J., Kongo A. et al. Internet addiction and associated factors among medical and allied health sciences students in northern Tanzania: A cross-sectional study // BMC Psychol. 2020. V. 8. № 73. https://doi.org/10.1186/s40359-020-00439-9
  2. Casale S., Fioravanti G. Internet addiction: Theoretical models, assessment and intervention // OUP. 2023. V. 1. P. 351–360. https://doi.org/10.1016/B978-0-12-818872-9.00143-6
  3. Paik A., Oh D., Kim D. A case of withdrawal psychosis from internet addiction disorder // Psychiatry Investigation. 2014. V. 2. № 11. P. 207–209. https://doi.org/10.4306/pi.2014.11.2.207
  4. Young K.S. Psychology of computer use: XL. Addictive use of the Internet: A case that breaks the stereotype // Psychol. Rep. 1996. V. 79. P. 899–902. https://doi.org/10.2466/pr0.1996.79.3.899
  5. Young K.S. Internet addiction: The emergence of a new clinical disorder // Cyberpsychol. Behav. 1998. V. 1. P. 237–244. https://doi.org/10.1089/cpb.1998.1.237
  6. Mak K.-K., Lai C.-M., Ko C.-H. et al. Psychometric properties of the revised chen internet addiction scale (CIAS-R) in Chinese adolescents // J. Abnorm. Child Psychol. 2014. V. 42. P. 1237–1245. https://doi.org/10.1007/s10802-014-9851-3
  7. Chia D.X.Y., Ng C.W.L., Kandasami G. et al. Prevalence of internet addiction and gaming disorders in southeast Asia: A meta-analysis // Int. J. Environ. Res. Public Health. 2020. V. 17. P. 2582. https://doi.org/10.3390/ijerph17072582
  8. Ojeda D.A., Niño C.L., López-León S. et al. A functional polymorphism in the promoter region of MAOA gene is associated with daytime sleepiness in healthy subjects // J. Neurol. Sci. 2014. V. 337. P. 176–179. https://doi.org/10.1016/j.jns.2013.12.005
  9. Shih J.C., Thompson R.F. Monoamine oxidase in neuropsychiatry and behavior // Am. J. Hum. Genet. 1999. V. 65. P. 593–598. https://doi.org/10.1086/302562
  10. McGregor N.W., Hemmings S.M.J., Erdman L. et al. Modification of the association between early adversity and obsessive-compulsive disorder by polymorphisms in the MAOA, MAOB and COMT genes // Psychiatry Res. 2016. V. 246. P. 527–532. https://doi.org/10.1016/j.psychres.2016.10.044
  11. Shih J.C., Wu J.B., Chen K. Transcriptional regulation and multiple functions of MAO genes // J. Neural. Transm. 2011. V. 118. P. 979–986. https://doi.org/10.1007/s00702-010-0562-9
  12. Naoi M., Maruyama W., Shamoto-Nagai M. Type A monoamine oxidase and serotonin are coordinately involved in depressive disorders: From neurotransmitter imbalance to impaired neurogenesis // J. Neural. Transm. (Vienna). 2018. V. 125. № 1. P. 53–66. https://doi.org/10.1007/s00702-017-1709-8
  13. Liu Z., Huang L., Luo X.-J. et al. MAOA variants and genetic susceptibility to major psychiatric disorders // Mol. Neurobiol. 2016. V. 53. P. 4319–4327. https://doi.org/10.1007/s12035-015-9374-0
  14. McDermott R., Tingley D., Cowden J. et al. Monoamine oxidase A gene (MAOA) predicts behavioral aggression following provocation // Proc. Natl Acad. Sci. 2009. V. 106. P. 2118–2123. https://doi.org/10.1073/pnas.0808376106
  15. Ferguson C.J. Genetic contributions to antisocial personality and behavior: A meta-analytic review from an evolutionary perspective // J. Soc. Psychol. 2010. V. 150. P. 160–180. https://doi.org/10.1080/00224540903366503
  16. Sohrabi S. The criminal gene: the link between MAOA and aggression (review) // BMC Proc. 2015. V. 9. https://doi.org/10.1186/1753-6561-9-S1-A49
  17. Chiang S.-L., Nithiyanantham S., Velmurugan B.K., Tu H.-P. et al. A haplotype-specific linkage disequilibrium pattern of monoamine oxidase A gene associated with regular smoking in women // J. Gene Med. 2019. V. 21. https://doi.org/10.1002/jgm.3142
  18. Sun Y., Liu L., Feng J., Yue W. et al. MAOA rs1137070 and heroin addiction interactively alter gray matter volume of the salience network // Sci. Rep. 2017. V. 7. https://doi.org/10.1038/srep45321
  19. Yen J.-Y., Chou W.-P., Lin H.-C., Wu H.-C. et al. Roles of hostility and depression in the association between the MAOA gene polymorphism and internet gaming disorder // Int. J. Environ. Res. Public Health. 2021. V. 18. https://doi.org/10.3390/ijerph18136910
  20. Dorfman H.M., Meyer-Lindenberg A., Buckholtz J.W. Neurobiological mechanisms for impulsive-aggression: The role of MAOA // Curr. Top. Behav. Neurosci. 2014. V. 17. P. 297–313. https://doi.org/10.1007/7854_2013_272
  21. Tereshchenko S.Yu., Kasparov E.V., Semenova N.B. et al. Generalized and specific problematic internet use in central siberia adolescents: A school-based study of prevalence, age–sex depending content structure, and comorbidity with psychosocial problems // Int. J. Environ. Res. Public. Health. 2022. V. 19. https://doi.org/10.3390/ijerph19137593
  22. Терещенко С.Ю., Смольникова М.В. Нейробиологические факторы риска формирования интернет-зависимости у подростков: актуальные гипотезы и ближайшие перспективы // Соц. психология и общество. 2020. Т. 11. С. 55–71. https://doi.org/10.17759/sps.2020110104
  23. Zmorzyński S., Styk W., Klinkosz W., Iskra J., Filip A.A. Personality traits and polymorphisms of genes coding neurotransmitter receptors or transporters: review of single gene and genome-wide association studies // Ann. Gen. Psychiatry. 2021. V. 20. P. 7. https://doi.org/10.1186/s12991-021-00328-4
  24. Kolla N.J., Bortolato M. The role of monoamine oxidase A in the neurobiology of aggressive, antisocial, and violent behavior: A tale of mice and men // Prog. Neurobiol. 2020. V. 194. https://doi.org/10.1016/j.pneurobio.2020.101875
  25. Ensembl – a genome browser for vertebrate genomes 2023. (дата обращения 20.04.2023). https://www.ensembl.org/index.html
  26. Siwei C., Laurent C.F., Goodrich J.K. et al. A genome-wide mutational constraint map quantified from variation in 76,156 human genomes // bioRxiv. 2022. V. 3. https://doi.org/10.1101/2022.03.20.485034
  27. Малыгин В.Л. Интернет-зависимое поведение. Критерии и методы диагностики. М.: МГМСУ, 2011. 33 с.
  28. Tu H.P., Ko A.M.S., Wang S.J. et al. Monoamine oxidase A gene polymorphisms and enzyme activity associated with risk of gout in Taiwan aborigines // Hum. Genet. 2010. V. 127. P. 223–229. https://doi.org/10.1007/s00439-009-0765-z
  29. Fong T.W. The vulnerable faces of pathological gambling // Psychiatry Edgmont. 2005. V. 2. P. 34–42.
  30. Fong T.W., Tsuang J. Asian-Americans, addictions, and barriers to treatment // Psychiatry Edgmont. 2007. V. 4. P. 51–59.
  31. Barry D.T., Steinberg M.A., Wu R., Potenza M.N. Differences in characteristics of Asian American and white problem gamblers calling a gambling helpline // CNS Spectr. 2009. V. 14. P. 83–91. https://doi.org/10.1017/s1092852900000237

Supplementary files

Supplementary Files
Action
1. JATS XML
2.

Download (234KB)

Copyright (c) 2023 К.В. Копылова, И.В. Марченко, М.В. Шубина, Н.Н. Горбачева, И.А. Новицкий, М.В. Смольникова

This website uses cookies

You consent to our cookies if you continue to use our website.

About Cookies