Early adverse drug reactions to sertraline in adolescents with a depressive episode: assessment of associations with CYP2C19*2, *17 in observational study
- Authors: Ivashchenko D.V.1,2, Sobur V.V.3, Grass S.V.3, Basova A.Y.3, Shimanov P.V.3, Shubin A.V.3, Deitch R.V.3, Tuchkova S.N.1,2, Korsakov I.N.2, Mirzaev K.B.1,2, Shevchenko Y.S.1, Sychev D.A.1,2
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Affiliations:
- Russian Medical Academy of Continuous Professional Education
- Russian Scientific Center of Surgery named after academician B.V. Petrovsky
- Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
- Issue: Vol 81, No 1 (2026)
- Pages: 41-51
- Section: PEDIATRICS: CURRENT ISSUES
- Published: 16.05.2026
- URL: https://vestnikramn.spr-journal.ru/jour/article/view/18133
- DOI: https://doi.org/10.15690/vramn18133
- ID: 18133
Cite item
Abstract
Background. An algorithm for the personalized selection of SSRIs based on pharmacogenetic testing is currently available. Personalization algorithms for adults are not applicable to teenagers. Previously, contradictory results were obtained regarding the association of “ultrarapid” CYP2C19 metabolism and poorer tolerability of sertraline and escitalopram. Our aim was to assess the relationships between CYP2C19*2, *3, and *17 polymorphisms and early adverse drug reactions to sertraline among adolescents with depressive episodes and suicidal intentions. Methods. Study design: observational prospective single-center. The study included 133 adolescents (89% female) with a depressive episode and suicidal tendencies. All patients received sertraline. On day 7, the safety of pharmacotherapy was assessed using the Antidepressant adverse drug reactions checklist. Each patient underwent genetic testing for CYP2C19*2, *3, *17. Statistical processing of the results was carried out using IBM SPSS Statistics 26.0. The safety of sertraline was analyzed depending on the carriage of CYP2C19 polymorphisms, the type of CYP2C19 metabolism, as well as depending on additional pharmacotherapy. Results. 96 patients had “normal” CYP2C19 metabolism, 27 had “intermediate” metabolism, 8 — “ultrarapid” metabolism, and 2 — a “poor” metabolism. There were no significant associations of the number of ADRs, as well as the frequency of individual ADRs, depending on the type of CYP2C19 metabolism. Carriage of CYP2C19*17 (CT+TT genotypes) was significantly associated with a large number of somatic and vegetative adverse drug reactions on day 7 (2 (1; 3) vs. 1 (1; 2); p = 0.017). On day 7, carriers of CYP2C19*2 (genotype GA+AA) were more likely to complain of sleep disorders (13 (46.4%) vs. 28 (26.7%); p = 0.044) and tremor (7(25%) vs. 9 (8.7%); p = 0.018) compared with homozygotes GG. Conclusion. Carriage of the CYP2C19*17 was significantly associated with an increase in somatic and vegetative ADRs frequency. This result is paradoxical, as carriage of CYP2C19*17 is more likely to lead to accelerated metabolism of sertraline. Carriage of the CYP2C19*2 was only associated with a higher frequency of sleep disturbances and tremor.
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About the authors
Dmitriy V. Ivashchenko
Russian Medical Academy of Continuous Professional Education; Russian Scientific Center of Surgery named after academician B.V. Petrovsky
Email: dvi1991@yandex.ru
ORCID iD: 0000-0002-2295-7167
SPIN-code: 9435-7794
MD, PhD, Associate Professor
Russian Federation, Moscow; MoscowVitaliy V. Sobur
Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
Email: vitalijsobur@gmail.com
SPIN-code: 6064-7550
Russian Federation, Moscow
Sergey V. Grass
Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
Email: grasss1987@gmail.com
ORCID iD: 0009-0007-3327-5130
SPIN-code: 3759-9880
Russian Federation, Moscow
Anna Y. Basova
Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
Email: anna@alienist.ru
ORCID iD: 0000-0002-5001-8554
SPIN-code: 3290-5781
MD, PhD
Russian Federation, MoscowPavel V. Shimanov
Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
Author for correspondence.
Email: meroving83@mail.ru
ORCID iD: 0000-0002-9050-4776
SPIN-code: 5939-6567
Russian Federation, Moscow
Artem V. Shubin
Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
Email: temkto@gmail.com
ORCID iD: 0009-0009-2963-8052
SPIN-code: 3038-7973
Russian Federation, Moscow
Roman V. Deitch
Scientific-Practical Children’s and Adolescents Mental Health Center named after G.E. Sukhareva
Email: rdeitch@yandex.ru
ORCID iD: 0000-0001-7154-2999
SPIN-code: 3108-0920
MD, PhD
Russian Federation, MoscowSvetlana N. Tuchkova
Russian Medical Academy of Continuous Professional Education; Russian Scientific Center of Surgery named after academician B.V. Petrovsky
Email: svetlana.tuch1998@gmail.com
ORCID iD: 0009-0001-2744-2752
SPIN-code: 6807-3210
Russian Federation, Moscow; Moscow
Ivan N. Korsakov
Russian Scientific Center of Surgery named after academician B.V. Petrovsky
Email: ivan@korsakov.su
ORCID iD: 0009-0006-2521-7275
SPIN-code: 6109-6951
MD, PhD
Russian Federation, MoscowK. B. Mirzaev
Russian Medical Academy of Continuous Professional Education; Russian Scientific Center of Surgery named after academician B.V. Petrovsky
Email: dvi1991@yandex.ru
Russian Federation, Moscow; Moscow
Yuriy S. Shevchenko
Russian Medical Academy of Continuous Professional Education
Email: europsy@mail.ru
ORCID iD: 0000-0001-9871-8704
SPIN-code: 2430-1912
MD, PhD, Professor
Russian Federation, MoscowDmitry A. Sychev
Russian Medical Academy of Continuous Professional Education; Russian Scientific Center of Surgery named after academician B.V. Petrovsky
Email: dmitry.alex.sychev@gmail.com
ORCID iD: 0000-0002-4496-3680
SPIN-code: 4525-7556
MD, PhD, Professor, Professor of the RAS, Academician of the RAS
Russian Federation, Moscow; MoscowReferences
- Castaldelli-Maia JM, Bhugra D. Analysis of global prevalence of mental and substance use disorders within countries: focus on sociodemographic characteristics and income levels. Int Rev Psychiatry. 2022;34(1):6–15. doi: https://doi.org/10.1080/09540261.2022.2040450
- Liu RT, Walsh RFL, Sheehan AE, et al. Prevalence and Correlates of Suicide and Nonsuicidal Self-injury in Children: A Systematic Review and Meta-analysis. JAMA Psychiatry. 2022;79(7):718–726. doi: https://doi.org/10.1001/jamapsychiatry.2022.1256
- Cipriani A, Furukawa TA, Salanti G, et al. Comparative efficacy and acceptability of 21 antidepressant drugs for the acute treatment of adults with major depressive disorder: a systematic review and network meta-analysis. Lancet. 2018;391(10128):1357–1366. doi: https://doi.org/10.1016/S0140-6736(17)32802-7
- Hetrick SE, McKenzie JE, Bailey AP, et al. New generation antidepressants for depression in children and adolescents: a network meta-analysis. Cochrane Database Syst Rev. 2021;5(5):CD013674. doi: https://doi.org/10.1002/14651858.CD013674.pub2
- Wehry AM, Beesdo-Baum K, Hennelly MM, et al. Assessment and treatment of anxiety disorders in children and adolescents. Curr Psychiatry Rep. 2015;17(7):52. doi: https://doi.org/10.1007/s11920-015-0591-z
- Meyer UA. Pharmacogenetics and adverse drug reactions. Lancet. 2000;356(9242):1667–1671. doi: https://doi.org/10.1016/S0140-6736(00)03167-6
- Zhao M, Ma J, Li M, et al. Cytochrome p450 enzymes and drug metabolism in humans. Int J Mol Sci. 2021;22(23):12808. doi: https://doi.org/10.3390/ijms222312808
- De Vane CL, Liston HL, Markowitz JS. Clinical pharmacokinetics of sertraline. Clin Pharmacokinet. 2002;41(15):1247–1266. doi: https://doi.org/10.2165/00003088-200241150-00002
- Bousman CA, Stevenson JM, Ramsey LB, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6, CYP2C19, CYP2B6, SLC6A4, and HTR2A Genotypes and Serotonin Reuptake Inhibitor Antidepressants. Clin Pharmacol Ther. 2023;114(1):51–68. doi: https://doi.org/10.1002/cpt.2903
- Brouwer JMJL, Nijenhuis M, Soree B, et al. Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2C19 and CYP2D6 and SSRIs. Eur J Hum Genet. 2022;30(10):1114–1120. doi: https://doi.org/10.1038/S41431-021-01004-7
- Hicks JK, Bishop JR, Sangkuhl K, et al. Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2D6 and CYP2C19 Genotypes and Dosing of Selective Serotonin Reuptake Inhibitors. Clin Pharmacol Ther. 2015;98(2):127–134. doi: https://doi.org/10.1002/cpt.147
- Poweleit EA, Aldrich SL, Martin LJ, et al. Pharmacogenetics of sertraline tolerability and response in pediatric anxiety and depressive disorders. J Child Adolesc Psychopharmacol. 2019;29(5):348–361. doi: https://doi.org/10.1089/CAP.2019.0017
- Strawn JR, Poweleit EA, Ramsey LB. CYP2C19-Guided Escitalopram and Sertraline Dosing in Pediatric Patients: A Pharmacokinetic Modeling Study. J Child Adolesc Psychopharmacol. 2019;29(5):340–347. doi: https://doi.org/10.1089/CAP.2018.0160
- Rossow KM, Aka IT, Maxwell-Horn AC, et al. Pharmacogenetics to Predict Adverse Events Associated with Antidepressants. Pediatrics. 2020;146(6):e20200957. doi: https://doi.org/10.1542/peds.2020-0957
- Poweleit EA, Taylor ZL, Mizuno T, et al. Escitalopram and sertraline population pharmacokinetic analysis in pediatric patients. Clin Pharmacokinet. 2023;62(11):1621–1637. doi: https://doi.org/10.1007/s40262-023-01294-8
- Milosavljević F, Molden PE, Ingelman-Sundberg PM, et al. Current level of evidence for improvement of antidepressant efficacy and tolerability by pharmacogenomic-guided treatment: A Systematic review and meta-analysis of randomized controlled clinical trials. European Neuropsychopharmacology. 2024;81:43–52. doi: https://doi.org/10.1016/j.euroneuro.2024.01.005
- Wang X, Wang C, Zhang Y, et al. Effect of pharmacogenomics testing guiding on clinical outcomes in major depressive disorder: a systematic review and meta-analysis of RCT. BMC Psychiatry. 2023;23(1):334. doi: https://doi.org/10.1186/s12888-023-04756-2
- Vande Voort JL, Orth SS, Shekunov J, et al. A Randomized Controlled Trial of Combinatorial Pharmacogenetics Testing in Adolescent Depression. J Am Acad Child Adolesc Psychiatry. 2022;61(1):46–55. doi: https://doi.org/10.1016/j.jaac.2021.03.011
- Cipriani A, Zhou X, Del Giovane C, et al. Comparative efficacy and tolerability of antidepressants for major depressive disorder in children and adolescents: a network meta-analysis. Lancet. 2016;388(10047):881–890. doi: https://doi.org/10.1016/S0140-6736(16)30385-3
- Strawn JR, Mills JA, Schroeder H, et al. Escitalopram in Adolescents with Generalized Anxiety Disorder: A Double-Blind, Randomized, Placebo-Controlled Study. J Clin Psychiatry. 2020;81(5):20m13396. doi: https://doi.org/10.4088/JCP.20M13396
- Hardy Weinberg equilibrium online calculator. Available from: https://www.had2know.org/academics/hardy-weinberg-equilibrium-calculator-2-alleles.html.
- Strawn JR, Mills JA, Poweleit EA, et al. Adverse Effects of Antidepressant Medications and their Management in Children and Adolescents. Pharmacotherapy. 2023;43(7):675–690. doi: https://doi.org/10.1002/phar.2767
- Bråten LS, Haslemo T, Jukic MM, et al. Impact of CYP2C19 genotype on sertraline exposure in 1200 Scandinavian patients. Neuropsychopharmacology. 2020;45(3):570–576. doi: https://doi.org/10.1038/s41386-019-0554-x
- Huddart R, Hicks JK, Ramsey LB, et al. PharmGKB summary: sertraline pathway, pharmacokinetics. Pharmacogenet Genomics. 2020;30(2):26–33. doi: https://doi.org/10.1097/FPC.0000000000000392
- Ratliff JC, Barber JA, Palmese LB, et al. Association of prescription H1 antihistamine use with obesity: Results from the National Health and Nutrition Examination Survey. Obesity (Silver Spring). 2010;18(12):2398–1400. doi: https://doi.org/10.1038/oby.2010.176
- van den Anker J, Reed MD, Allegaert K, et al. Developmental Changes in Pharmacokinetics and Pharmacodynamics. J Clin Pharmacol. 2018;58(Suppl 10):S10–S25. doi: https://doi.org/10.1002/jcph.1284
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