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<article article-type="research-article" dtd-version="1.2" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><front><journal-meta><journal-id journal-id-type="issn">2658-6533</journal-id><journal-title-group><journal-title>Research Results in Biomedicine</journal-title></journal-title-group><issn pub-type="epub">2658-6533</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.18413/2658-6533-2023-9-3-0-3</article-id><article-id pub-id-type="publisher-id">3163</article-id><article-categories><subj-group subj-group-type="heading"><subject>Genetics</subject></subj-group></article-categories><title-group><article-title>&lt;strong&gt;Analysis of polymorphic variants of serotonin and gamma-aminobutyric acid receptor genes in patients with type 2 diabetes mellitus&lt;/strong&gt;</article-title><trans-title-group xml:lang="en"><trans-title>&lt;strong&gt;Analysis of polymorphic variants of serotonin and gamma-aminobutyric acid receptor genes in patients with type 2 diabetes mellitus&lt;/strong&gt;</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Kochetova</surname><given-names>Olga V.</given-names></name><name xml:lang="en"><surname>Kochetova</surname><given-names>Olga V.</given-names></name></name-alternatives><email>Olga_mk78@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Avsaleydiniva</surname><given-names>Diana Sh.</given-names></name><name xml:lang="en"><surname>Avsaleydiniva</surname><given-names>Diana Sh.</given-names></name></name-alternatives><email>ecolab_203@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Korytina</surname><given-names>Gulnaz F.</given-names></name><name xml:lang="en"><surname>Korytina</surname><given-names>Gulnaz F.</given-names></name></name-alternatives><email>guly_kory@mail.ru</email></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="ru"><surname>Viktorova</surname><given-names>Tatiana V.</given-names></name><name xml:lang="en"><surname>Viktorova</surname><given-names>Tatiana V.</given-names></name></name-alternatives><email>vict@mail.ru</email></contrib></contrib-group><pub-date pub-type="epub"><year>2023</year></pub-date><volume>9</volume><issue>3</issue><fpage>0</fpage><lpage>0</lpage><self-uri content-type="pdf" xlink:href="/media/medicine/2023/3/НРБИ_2023_3-35-45_viBp8cW.pdf" /><abstract xml:lang="ru"><p>Background:&amp;nbsp;Type 2 diabetes mellitus (T2DM) is an expanding global health problem of the 21st century. There has been a global increase in the number of patients with T2DM. It has established a strong association of obesity and age with T2DM. The aim of the study:&amp;nbsp;To analyze polymorphic variants of the serotonin receptor genes HTRD rs674386, HTR1F rs56398417, HTR2A rs6313, HTR3A rs1062613, HTR2C rs6318, the gamma-aminobutyric acid receptor gene GABRA2 rs279845, in patients with type 2 diabetes living in the Republic of Bashkortostan. Materials and methods:&amp;nbsp;DNA samples included a group of patients with T2DM &amp;ndash; 691 individuals and control &amp;ndash; 1096 individuals. The study of polymorphic markers was carried out using the polymerase chain reaction (PCR) TaqMan. Results:&amp;nbsp;As a result of the study of 6 polymorphic loci of the genes of the neurotransmitter system, protective markers were identified, including the CT and CC genotypes of the rs1062613 polymorphic locus of the HTR3A gene (OR=0.73, Pcor_FDR=0.0007) and the GC and CC risk genotypes of the rs6318 polymorphic locus of the HTR2C gene (OR=2.21, Pcor_FDR =0.0045) among women, the CC genotype is also at risk among men (R=4.05, Pcor_FDR=0.0045). Multilocus analysis of combinations of genotypes and alleles revealed five combinations of increased and decreased risk of developing T2DM. The most significant association was found for the combination of HTR3A rs1062613 allele C + HTR2A rs6313 allele A + HTRD rs674386 allele A + HTR1F rs55639841 CC genotype (OR=1.74, Pcor_FDR=0.0004). The analysis of ROC curves showed that the studied loci HTRD rs674386, HTR1F rs56398417, HTR3A rs1062613, GABRA2 rs279845 and variables such as gender, age of the subjects and the level of BMI included in the construction of the risk calculation model can predict the development of T2DM with a sensitivity of 79.0% and a specificity of 75.0%, the area under the AUC curve was 83.40% (95% CI 83.50-87.40). Conclusion:&amp;nbsp;The results obtained may indicate a high level of prognostic significance of polymorphic variants of the genes of the neurotransmitter system in the formation of predisposition to T2DM.</p></abstract><trans-abstract xml:lang="en"><p>Background:&amp;nbsp;Type 2 diabetes mellitus (T2DM) is an expanding global health problem of the 21st century. There has been a global increase in the number of patients with T2DM. It has established a strong association of obesity and age with T2DM. The aim of the study:&amp;nbsp;To analyze polymorphic variants of the serotonin receptor genes HTRD rs674386, HTR1F rs56398417, HTR2A rs6313, HTR3A rs1062613, HTR2C rs6318, the gamma-aminobutyric acid receptor gene GABRA2 rs279845, in patients with type 2 diabetes living in the Republic of Bashkortostan. Materials and methods:&amp;nbsp;DNA samples included a group of patients with T2DM &amp;ndash; 691 individuals and control &amp;ndash; 1096 individuals. The study of polymorphic markers was carried out using the polymerase chain reaction (PCR) TaqMan. Results:&amp;nbsp;As a result of the study of 6 polymorphic loci of the genes of the neurotransmitter system, protective markers were identified, including the CT and CC genotypes of the rs1062613 polymorphic locus of the HTR3A gene (OR=0.73, Pcor_FDR=0.0007) and the GC and CC risk genotypes of the rs6318 polymorphic locus of the HTR2C gene (OR=2.21, Pcor_FDR =0.0045) among women, the CC genotype is also at risk among men (R=4.05, Pcor_FDR=0.0045). Multilocus analysis of combinations of genotypes and alleles revealed five combinations of increased and decreased risk of developing T2DM. The most significant association was found for the combination of HTR3A rs1062613 allele C + HTR2A rs6313 allele A + HTRD rs674386 allele A + HTR1F rs55639841 CC genotype (OR=1.74, Pcor_FDR=0.0004). The analysis of ROC curves showed that the studied loci HTRD rs674386, HTR1F rs56398417, HTR3A rs1062613, GABRA2 rs279845 and variables such as gender, age of the subjects and the level of BMI included in the construction of the risk calculation model can predict the development of T2DM with a sensitivity of 79.0% and a specificity of 75.0%, the area under the AUC curve was 83.40% (95% CI 83.50-87.40). Conclusion:&amp;nbsp;The results obtained may indicate a high level of prognostic significance of polymorphic variants of the genes of the neurotransmitter system in the formation of predisposition to T2DM.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>type 2 diabetes mellitus</kwd><kwd>neurotransmitter system</kwd><kwd>serotonin receptors</kwd><kwd>gamma-aminobutyric acid receptor</kwd></kwd-group><kwd-group xml:lang="en"><kwd>type 2 diabetes mellitus</kwd><kwd>neurotransmitter system</kwd><kwd>serotonin receptors</kwd><kwd>gamma-aminobutyric acid receptor</kwd></kwd-group></article-meta></front><back><ref-list><title>Список литературы</title><ref id="B1"><mixed-citation>Dedov II, Shestakova MV, Mayorov AYu., editors. Standards of specialized diabetes care. 10th edition. Moscow; 2021. Russian. DOI: https://doi.org/10.14341/DM12802</mixed-citation></ref><ref id="B2"><mixed-citation>Cataldo Bascu&amp;ntilde;an LR, Lyons C, Bennet H, et al. Serotonergic regulation of insulin secretion. Acta Physiologica. 2019;225(1):e13101. DOI: https://doi.org/10.1111/apha.13101</mixed-citation></ref><ref id="B3"><mixed-citation>Choi WG, Choi W, Oh TJ, et al. Inhibiting serotonin signaling through HTR2B in visceral adipose tissue improves obesity-related insulin resistance. Journal of Clinical Investigation. 2021;131(23):e145331. DOI: https://doi.org/10.1172/JCI145331</mixed-citation></ref><ref id="B4"><mixed-citation>Georgescu T, Lyons D, Heisler LK. Role of serotonin in body weight, insulin secretion and glycaemic control. Journal of Neuroendocrinology. 2021;33(4):e12960. DOI: https://doi.org/10.1111/jne.12960</mixed-citation></ref><ref id="B5"><mixed-citation>Bennet H, Balhuizen A, Medina A, et al. Altered serotonin (5-HT) 1D and 2A receptor expression may contribute to defective insulin and glucagon secretion in human type 2 diabetes. Peptides. 2015;71:113-120. DOI: https://doi.org/10.1016/j.peptides.2015.07.008</mixed-citation></ref><ref id="B6"><mixed-citation>Kring SI, Werge T, Holst C, 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. DOI: https://doi.org/10.1371/journal.pone.0006696</mixed-citation></ref><ref id="B7"><mixed-citation>Iordanidou M, Tavridou A, Vasiliadis MV, et al. The-759C/T polymorphism of the 5-HT2C receptor is associated with type 2 diabetes in male and female Caucasians. Pharmacogenetics and Genomics. 2008;18(2):153-159. DOI: https://doi.org/10.1097/FPC.0b013e3282f4ae93</mixed-citation></ref><ref id="B8"><mixed-citation>Kwon YJ, Hong KW, Park BJ, et al. Serotonin receptor 3B polymorphisms are associated with type 2 diabetes: The Korean Genome and Epidemiology Study. Diabetes Research and Clinical Practice. 2019;153:76-85. DOI: https://doi.org/10.1016/j.diabres.2019.05.032</mixed-citation></ref><ref id="B9"><mixed-citation>Asadzadeh A, Seyedhosseini GH, Sholehvar F, et al. Investigation of the Association between 5-Hydroxytryptamine Transporter Gene-Linked Polymorphic Region with Type 2 Diabetes Mellitus, Obesity and Biochemical Profiles of Serum in Iranian Population. Avicenna Journal of Medical Biotechnology. 2019;11(3):239-244.</mixed-citation></ref><ref id="B10"><mixed-citation>Gajos JM, Russell MA, Cleveland HH, et al. Romantic Partner Alcohol Misuse Interacts with GABRA2 Genotype to Predict Frequency of Drunkenness in Young Adulthood. Journal of Contemporary Criminal Justice. 2019;35(1):7-20. DOI: https://doi.org/10.1177/1043986218810578</mixed-citation></ref><ref id="B11"><mixed-citation>Al-Kuraishy HM, Hussian NR, Al-Naimi MS, et al. The Potential Role of Pancreatic &amp;gamma;-Aminobutyric Acid (GABA) in Diabetes Mellitus: A Critical Reappraisal. International Journal of Preventive Medicine. 2021;12:19. DOI: https://doi.org/10.4103/ijpvm.IJPVM_278_19</mixed-citation></ref><ref id="B12"><mixed-citation>Al Safar HS, Cordell HJ, Jafer O, et al. A genome‐wide search for type 2 diabetes susceptibility genes in an extended Arab family. Annals of Human Genetics. 2013;77(6):488-503. DOI: https://doi.org/10.1111/ahg.12036</mixed-citation></ref><ref id="B13"><mixed-citation>Purcell S, Neale B, Todd-Brown K, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. American Journal of Human Genetics. 2007;81(3):559-75. DOI: https://doi.org/10.1086/519795</mixed-citation></ref><ref id="B14"><mixed-citation>Jahn K, Kurz B, Sinke C, et al. Serotonin system-associated genetic and epigenetic changes in pedophilia and child sexual offending. Journal of Psychiatric Research. 2021;145:60-69. DOI: https://doi.org/10.1016/j.jpsychires.2021.11.042</mixed-citation></ref><ref id="B15"><mixed-citation>Suchanecka A, Chmielowiec J, Chmielowiec K, et al. Serotonin Receptor HTR3A Gene Polymorphisms rs1985242 and rs1062613, E-Cigarette Use and Personality. International Journal of Environmental Research and Public Health. 2022;19(8):4746. DOI: https://doi.org/10.3390/ijerph19084746</mixed-citation></ref><ref id="B16"><mixed-citation>Ledermann K, Hasler G, Jenewein J, et al. 5&amp;#39;UTR polymorphism in the serotonergic receptor HTR3A gene is differently associated with striatal Dopamine D2/D3 receptor availability in the right putamen in Fibromyalgia patients and healthy controls-Preliminary evidence. Synapse. 2020;74(5):e22147. DOI: https://doi.org/10.1002/syn.22147</mixed-citation></ref><ref id="B17"><mixed-citation>Manfredi L, Accoto A, Couyoumdjian A, et al. A Systematic Review of Genetic Polymorphisms Associated with Binge Eating Disorder. Nutrients. 2021;13(3):848. DOI: https://doi.org/10.3390/nu13030848</mixed-citation></ref><ref id="B18"><mixed-citation>Levchenko A, Vyalova NM, Nurgaliev T, et al. NRG1, PIP4K2A, and HTR2C as Potential Candidate Biomarker Genes for Several Clinical Subphenotypes of Depression and Bipolar Disorder. Frontiers in Genetics. 2020;11:936. DOI: https://doi.org/10.3389/fgene.2020.00936</mixed-citation></ref><ref id="B19"><mixed-citation>Drago A, Serretti A. Focus on HTR2C: A possible suggestion for genetic studies of complex disorders. American Journal of Medical Genetics, Part B: Neuropsychiatric Genetics. 2009;150(5):601-637. DOI: https://doi.org/10.1002/ajmg.b.30864</mixed-citation></ref><ref id="B20"><mixed-citation>Bah J, Westberg L, Baghaei F, et al. Further exploration of the possible influence of polymorphisms in HTR2C and 5HTT on body weight. Metabolism. 2010;59(8):1156-1163. DOI: https://doi.org/10.1016/j.metabol.2009.11.007</mixed-citation></ref><ref id="B21"><mixed-citation>Santos-J&amp;uacute;nior AD, Henriques TB, de Mello MP, et al. Pharmacogenetics of Risperidone and Cardiovascular Risk in Children and Adolescents. International Journal of Endocrinology. 2016;2016:5872423. DOI: https://doi.org/10.1155/2016/5872423</mixed-citation></ref><ref id="B22"><mixed-citation>Schlomer GL, Cleveland HH, Deutsch AR, et al. Developmental Change in Adolescent Delinquency: Modeling Time-Varying Effects of a Preventative Intervention and GABRA2 Halpotype Linked to Alcohol Use. Journal of Youth and Adolescence. 2019;48(1):71-85. DOI: https://doi.org/10.1007/s10964-018-0929-z</mixed-citation></ref><ref id="B23"><mixed-citation>Kim J, Park A. A systematic review: Candidate gene and environment interaction on alcohol use and misuse among adolescents and young adults. American Journal on Addictions. 2018;10:10.1111/ajad.12755. DOI: https://doi.org/10.1111/ajad.12755</mixed-citation></ref></ref-list></back></article>