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035 _a(RuTPU)RU\TPU\network\27380
090 _a659056
100 _a20181224a2018 k y0engy50 ba
101 0 _aeng
102 _aUS
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aThe functional variant rs334558 of GSK3B is associated with remission in patients with depressive disorders
_fA. Levchenko [et al.]
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: 76 tit.]
330 _aPurpose: GSK3B and AKT1 genes have been implicated in the pathogenesis of a number of psychiatric and neurological disorders. Furthermore, their genetic variants are associated with response to antidepressant pharmacotherapy. As the evidence is still incomplete and inconsistent, continuing efforts to investigate the role of these two genes in the pathogenesis and treatment of brain disorders is necessary. The aim of our study was thus to evaluate the association of variants of these two genes with depressive disorders and drug treatment response. Patients and methods: In the present study, 222 patients with a depressive disorder who underwent pharmacological antidepressant treatment were divided into remitters and non-remitters following a 28-day course of pharmacotherapy. The association of a depressive disorder and remission rates with polymorphisms rs334558 in the GSK3B gene and rs1130214 and rs3730358 in the AKT1gene was evaluated with a chi-square test. Results: Neither of the studied genetic variants was associated with a depressive disorder. Furthermore, frequencies of alleles and genotypes for rs1130214 and rs3730358 were not different in the groups of remitters and non-remitters. However, the activating allele T of the functional polymorphism rs334558 was significantly associated with remission, when all types of antidepressant drugs were included. This association continued as a trend when only patients taking selective serotonin reuptake inhibitors were considered. Conclusion: The present study provides support that the functional polymorphism rs334558 of GSK3B may play a role as a useful genetic and pharmacogenetic biomarker in the framework of personalized medicine approach.
461 _tPharmacogenomics and Personalized Medicine
463 _tVol. 11
_v[P. 121-126]
_d2018
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _adepressive disorder
610 1 _aassociation study
610 1 _aAKT1
610 1 _aGSK3B
610 1 _agenetic biomarker
610 1 _aисследования
610 1 _aбиомаркеры
701 1 _aLevchenko
_bA.
_gAnastasia
701 1 _aLosenkov
_bI. S.
_gInnokenty Sergeevich
701 1 _aVyalova
_bN. M.
_gNataljya Mikhaylovna
701 1 _aSimutkin
_bG. G.
_gGerman Gennadjevich
701 1 _aBokhan
_bN. A.
_gNikolay Aleksandrovich
701 1 _aIvanova
_bS. A.
_cspecialist in the field of ecology and life safety
_cProfessor of Tomsk Polytechnic University, doctor of medical sciences
_f1964-
_gSvetlana Aleksandrovna
_2stltpush
_3(RuTPU)RU\TPU\pers\33859
712 0 2 _aНациональный исследовательский Томский политехнический университет
_bИнженерная школа неразрушающего контроля и безопасности
_bОтделение контроля и диагностики (ОКД)
_h7978
_2stltpush
_3(RuTPU)RU\TPU\col\23584
801 2 _aRU
_b63413507
_c20181224
_gRCR
856 4 _uhttps://doi.org/10.2147/PGPM.S171423
942 _cCF