Генетика и эпигенетика несуицидального самоповреждающего поведения: нарративный обзор

Обложка

Цитировать

Полный текст

Открытый доступ Открытый доступ
Доступ закрыт Доступ предоставлен
Доступ закрыт Доступ платный или только для подписчиков

Аннотация

Несуицидальное самоповреждающее поведение (НССП), или селфхарм, широко распространено, особенно среди людей молодого возраста. Тем не менее, несмотря на актуальность данной проблемы, НССП исследовалось в основном с психологических и социальных позиций, в то время как биологические основы НССП изучались в значительно меньшем объеме. Цель данного нарративного обзора – анализ всей доступной на данный момент литературы по генетике и эпигенетике НССП, являющихся одними из наиболее перспективных областей биологических исследований. Обсуждены и проанализированы все этапы развития генетических исследований НССП: от близнецовых исследований и изучения самоповреждений в рамках наследственных заболеваний к поиску генов-кандидатов, полногеномным исследованиям и изучению эпигенетических механизмов и взаимодействия “ген–среда”. Продемонстрирован значимый вклад генетических и эпигенетических факторов в развитие НССП, обсуждены преимущества и ограничения проведенных исследований, намечены перспективы развития дальнейших исследований в данной области.

Об авторах

А. А. Кибитов

Научный центр психического здоровья; Национальный медицинский исследовательский центр психиатрии и неврологии им. В.М. Бехтерева

Автор, ответственный за переписку.
Email: andreykibitov18@gmail.com
Россия, 115522, Москва; Россия, 192019, Санкт-Петербург

Г. Э. Мазо

Национальный медицинский исследовательский центр психиатрии и неврологии им. В.М. Бехтерева

Email: andreykibitov18@gmail.com
Россия, 192019, Санкт-Петербург

Список литературы

  1. International Society for the Study of Self-Injury. What is Non-Suicidal Self-Injury? 2022. https://www.itriples.org/what-is-nssi
  2. Swannell S.V., Martin G.E., Page A. et al. Prevalence of nonsuicidal self-injury in nonclinical samples: Systematic review, meta-analysis and meta-regression // Suicide Life-Threatening Behav. 2014. V. 44. № 3. P. 273–303. https://doi.org/10.1111/sltb.12070
  3. Cheng H., Wang D., Wang L. et al. Global prevalence of self-harm during the COVID-19 pandemic: A systematic review and meta-analysis // BMC Psychol. 2023. V. 11. № 1. P. 149. https://doi.org/10.1186/s40359-023-01181-8
  4. Grandclerc S., De Labrouhe D., Spodenkiewicz M. et al. Relations between nonsuicidal self-injury and suicidal behavior in adolescence: A systematic review // PLoS One. 2016. V. 11. № 4. https://doi.org/10.1371/journal.pone.0153760
  5. Kaess M., Hooley J.M., Klimes-Dougan B. et al. Advancing a temporal framework for understanding the biology of nonsuicidal self-injury: An expert review // Neurosci. Biobehav. Rev. 2021. V. 130. P. 228–239. https://doi.org/10.1016/j.neubiorev.2021.08.022
  6. Oliver C., Richards C. Self-injurious behaviour in people with intellectual disability // Curr. Opin. Psychiatry. 2010. V. 23. № 5. P. 412–416. https://doi.org/10.1097/YCO.0b013e32833cfb80
  7. Huisman S., Mulder P., Kuijk J. et al. Self-injurious behavior // Neurosci. Biobehav. Rev. 2018. V. 84. P. 483–491. https://doi.org/10.1016/j.neubiorev.2017.02.027
  8. Arron K., Oliver C., Moss J. et al. The prevalence and phenomenology of self-injurious and aggressive behaviour in genetic syndromes // J. Intellect. Disabil. Res. 2011. V. 55. № 2. P. 109–120. https://doi.org/10.1111/j.1365-2788.2010.01337.x
  9. Lesch M., Nyhan W.L. A familial disorder of uric acid metabolism and central nervous system function // Am. J. Med. 1964. V. 36. № 4. P. 561–570. https://doi.org/10.1016/0002-9343(64)90104-4
  10. Harris J.C. Lesch–Nyhan syndrome and its variants: Examining the behavioral and neurocognitive phenotype // Curr. Opin. Psychiatry. 2018. V. 31. № 2. P. 96–102. https://doi.org/10.1097/YCO.0000000000000388
  11. Palmour R.M. Genetic models for the study of aggressive behavior // Prog. Neuro-Psychopharmacology Biol. Psychiatry. 1983. V. 7. № 4–6. P. 513–517. https://doi.org/10.1016/0278-5846(83)90018-0
  12. Ortiz R., Ulrich H., Zarate C.A., Machado-Vieira R. Purinergic system dysfunction in mood disorders: A key target for developing improved therapeutics // Prog. Neuro-Psychopharmacology Biol. Psychiatry. 2015. V. 57. P. 117–131. https://doi.org/10.1016/j.pnpbp.2014.10.016
  13. Gonçalves M.C.B., Corrêa-Velloso J., Naaldijk Y. et al. Purinergic modulation of pathways associated to suicidal behavior // Mol. Psychiatry. 2020. V. 25. № 3. P. 514–516. https://doi.org/10.1038/s41380-018-0088-3
  14. Mrug S., Mrug M. Uric acid excretion predicts increased aggression in urban adolescents // Physiol. Behav. 2016. V. 163. P. 144–148. https://doi.org/10.1016/j.physbeh.2016.05.014
  15. Deliberto T.L., Nock M.K. An exploratory study of correlates, onset, and offset of non-suicidal self-injury // Arch. Suicide Res. 2008. V. 12. № 3. P. 219–231. https://doi.org/10.1080/13811110802101096
  16. Kandsperger S., Jarvers I., Ecker A. et al. Emotional reactivity and family-related factors associated with self-injurious behavior in adolescents presenting to a child and adolescent psychiatric emergency service // Front. Psychiatry. 2021. V. 12. https://doi.org/10.3389/fpsyt.2021.634346
  17. Jang K.L., Livesley W.J., Vernon P.A., Jackson D.N. Heritability of personality disorder traits: A twin study // Acta Psychiatr. Scand. 1996. V. 94. № 6. P. 438–444. https://doi.org/10.1111/j.1600-0447.1996.tb09887.x
  18. Vernon P.A., McCarthy J.M., Johnson A.M. et al. Individual differences in multiple dimensions of aggression: A univariate and multivariate genetic analysis // Twin Res. 1999. V. 2. № 1. P. 16–21. https://doi.org/10.1375/136905299320566068
  19. Distel M.A., Willemsen G., Ligthart L. et al. Genetic covariance structure of the four main features of borderline personality disorder // J. Pers. Disord. 2010. V. 24. № 4. P. 427–444. https://doi.org/10.1521/pedi.2010.24.4.427
  20. Althoff R.R., Hudziak J.J., Willemsen G. et al. Genetic and environmental contributions to self-reported thoughts of self-harm and suicide // Am. J. Med. Genet. Part B Neuropsychiatr. Genet. 2012. V. 159 B. № 1. P. 120–127. https://doi.org/10.1002/ajmg.b.32010
  21. Maciejewski D.F., Creemers H.E., Lynskey M.T. et al. Overlapping genetic and environmental influences on nonsuicidal self-injury and suicidal ideation // JAMA Psychiatry. 2014. V. 71. № 6. P. 699. https://doi.org/10.1001/jamapsychiatry.2014.89
  22. Few L.R., Werner K.B., Sartor C.E. et al. Early onset alcohol use and self-harm: A discordant twin analysis // Alcohol. Clin. Exp. Res. 2015. V. 39. № 11. P. 2134–2142.https://doi.org/10.1111/acer.12889
  23. Richmond-Rakerd L.S., Trull T.J., Gizer I.R. et al. Common genetic contributions to high-risk trauma exposure and self-injurious thoughts and behaviors // Psychol. Med. 2019. V. 49. № 3. P. 421–430. https://doi.org/10.1017/S0033291718001034
  24. Evans J., Battersby S., Ogilvie A.D. et al. Association of short alleles of a VNTR of the serotonin transporter gene with anxiety symptoms in patients presenting after deliberate self-harm // Neuropharmacology. 1997. V. 36. № 4–5. P. 439–443. https://doi.org/10.1016/S0028-3908(97)00027-0
  25. Evans J., Reeves B., Platt H. et al. Impulsiveness, serotonin genes and repetition of deliberate self-harm (DSH) // Psychol. Med. 2000. V. 30. № 6. P. 1327–1334. https://doi.org/10.1017/S0033291799002822
  26. Joyce P.R., McKenzie J.M., Mulder R.T. et al. Genetic, developmental and personality correlates of self-mutilation in depressed patients // Aust. N. Z. J. Psychiatry. 2006. V. 40. № 3. P. 225–229. https://doi.org/10.1111/j.1440-1614.2006.01778.x
  27. Steiger H., Fichter M., Bruce K.R. et al. Molecular-genetic correlates of self-harming behaviors in eating-disordered women: Findings from a combined Canadian-German sample // Prog. Neuro-Psychopharmacology Biol. Psychiatry. 2011. V. 35. № 1. P. 102–106. https://doi.org/10.1016/j.pnpbp.2010.09.012
  28. Thaler L., Groleau P., Badawi G. et al. Epistatic interactions implicating dopaminergic genes in bulimia nervosa (BN): Relationships to eating- and personality-related psychopathology // Prog. Neuro-Psychopharmacology Biol. Psychiatry. 2012. V. 39. № 1. P. 120–128. https://doi.org/10.1016/j.pnpbp.2012.05.019
  29. Dell’Osso L., Mandelli L., Carlini M. et al. Temperamental and genetic predictors of suicide attempt and self-mutilation // Neuropsychobiology. 2013. V. 68. № 4. P. 250–257. https://doi.org/10.1159/000356228
  30. Kolevzon A., Lim T., Schmeidler J. et al. Self-injury in autism spectrum disorder: An effect of serotonin transporter gene promoter variants // Psychiatry Res. 2014. V. 220. № 3. P. 987–990. https://doi.org/10.1016/j.psychres.2014.09.018
  31. Bresin K., Sima Finy M., Verona E. Childhood emotional environment and self-injurious behaviors: The moderating role of the BDNF Val66Met polymorphism // J. Affect. Disord. 2013. V. 150. № 2. P. 594–600. https://doi.org/10.1016/j.jad.2013.01.050
  32. Hankin B.L., Barrocas A.L., Young J.F. et al. 5‑HTTLPR × interpersonal stress interaction and nonsuicidal self-injury in general community sample of youth // Psychiatry Res. 2015. V. 225. № 3. P. 609–612. https://doi.org/10.1016/j.psychres.2014.11.037
  33. Gorodetsky E., Carli V., Sarchiapone M. et al. Predictors for self-directed aggression in Italian prisoners include externalizing behaviors, childhood trauma and the serotonin transporter gene polymorphism 5-HTTLPR // Genes, Brain Behav. 2016. V. 15. № 5. P. 465–473. https://doi.org/10.1111/gbb.12293
  34. Bernegger A., Kienesberger K., Carlberg L. et al. The impact of COMT and childhood maltreatment on suicidal behaviour in affective disorders // Sci. Rep. 2018. V. 8. № 1. P. 1–9. https://doi.org/10.1038/s41598-017-19040-z
  35. Gao Y., Xiong Y., Liu X., Wang H. The effects of childhood maltreatment on non-suicidal self-injury in male adolescents: The moderating roles of the monoamine oxidase a (maoa) gene and the catechol-o-methyltransferase (comt) gene // Int. J. Environ. Res. Public Health. 2021. V. 18. № 5. P. 1–13. https://doi.org/10.3390/ijerph18052598
  36. Martín-Blanco A., Ferrer M., Soler J. et al. Association between methylation of the glucocorticoid receptor gene, childhood maltreatment, and clinical severity in borderline personality disorder // J. Psychiatr. Res. 2014. V. 57. № 1. P. 34–40. https://doi.org/10.1016/j.jpsychires.2014.06.011
  37. Wang L., Zheng D., Liu L. et al. Relationship between SIRT1 gene and adolescent depressive disorder with nonsuicidal self-injury behavior: Based on gene methylation and mRNA expression // Medicine (Baltimore). 2021. V. 100. № 31. https://doi.org/10.1097/MD.0000000000026747
  38. Kullo I.J., Lewis C.M., Inouye M. et al. Polygenic scores in biomedical research // Nat. Rev. Genet. 2022. V. 23. № 9. P. 524–532. https://doi.org/10.1038/s41576-022-00470-z
  39. Hek K., Demirkan A., Lahti J. et al. A genome-wide association study of depressive symptoms // Biol. Psychiatry. 2013. V. 73. № 7. P. 667–678. https://doi.org/10.1016/j.biopsych.2012.09.033
  40. Maciejewski D.F., Renteria M.E., Abdellaoui A. et al. The association of genetic predisposition to depressive symptoms with non-suicidal and suicidal self-injuries // Behav. Genet. 2017. V. 47. № 1. P. 3–10. https://doi.org/10.1007/s10519-016-9809-z
  41. Psychiatric GWAS Consortium Bipolar Disorder Working Group. Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 // Nat. Genet. 2011. V. 43. № 10. P. 977–983. 10.1038/ng.943' target='_blank'>http://www.nature.com/articles/ng.943doi: 10.1038/ng.943
  42. Wilcox H.C., Fullerton J.M., Glowinski A.L. et al. Traumatic stress interacts with bipolar disorder genetic risk to increase risk for suicide attempts // J. Am. Acad. Child Adolesc. Psychiatry. 2017. V. 56. № 12. P. 1073–1080. https://doi.org/10.1016/j.jaac.2017.09.428
  43. Grove J., Ripke S., Als T.D. et al. Identification of common genetic risk variants for autism spectrum disorder // Nat. Genet. 2019. V. 51. № 3. P. 431–444. https://doi.org/10.1038/s41588-019-0344-8
  44. Warrier V., Baron-Cohen S. Childhood trauma, life-time self-harm, and suicidal behaviour and ideation are associated with polygenic scores for autism // Mol. Psychiatry. 2019. V. 26. № 5. P. 1670–1684. https://doi.org/10.1038/s41380-019-0550-x
  45. Hodgson K., Coleman J.R.I., Hagenaars S.P. et al. Cannabis use, depression and self-harm: phenotypic and genetic relationships // Addiction. 2020. V. 115. № 3. P. 482–492. https://doi.org/10.1111/add.14845
  46. Shen H., Gelaye B., Huang H. et al. Polygenic prediction and GWAS of depression, PTSD, and suicidal ideation/self-harm in a Peruvian cohort // Neuropsychopharmacology. 2020. V. 45. № 10. P. 1595–1602. https://doi.org/10.1038/s41386-020-0603-5
  47. Russell A.E., Ford T., Gunnell D. et al. Investigating evidence for a causal association between inflammation and self-harm: A multivariable Mendelian randomisation study // Brain. Behav. Immun. 2020. V. 89. P. 43–50. https://doi.org/10.1016/j.bbi.2020.05.065
  48. Lim K.X., Rijsdijk F., Hagenaars S.P. et al. Studying individual risk factors for self-harm in the UK Biobank: A polygenic scoring and Mendelian randomisation study // PLoS Med. 2020. V. 17. № 1. https://doi.org/10.1371/journal.pmed.1003137
  49. Campos A.I., Verweij K.J.H., Statham D.J. et al. Genetic aetiology of self-harm ideation and behaviour// Sci. Rep. 2020. V. 10. № 1. P. 1–11. https://doi.org/10.1038/s41598-020-66737-9
  50. Manitt C., Eng C., Pokinko M. et al. DCC orchestrates the development of the prefrontal cortex during adolescence and is altered in psychiatric patients // Transl. Psychiatry. 2013. V. 3. № 12. P. e338–e338. https://doi.org/10.1038/tp.2013.105
  51. Russell A.E., Hemani G., Jones H.J. et al. An exploration of the geneticepidemiology of non-suicidal self-harm and suicide attempt // BMC Psychiatry. 2021. V. 21. № 1. P. 207. https://doi.org/10.1186/s12888-021-03216-z
  52. Li C., Liang X., Cheng S. et al. A multi-environments-gene interaction study of anxiety, depression and self-harm in the UK Biobank cohort // J. Psychiatr. Res. 2022. V. 147. P. 59–66. https://doi.org/10.1016/j.jpsychires.2022.01.009

Дополнительные файлы

Доп. файлы
Действие
1. JATS XML
Скачать
2.

Скачать (86KB)
Метаданные

© А.А. Кибитов, Г.Э. Мазо, 2023