Associations of Polygenic Risk Scores for Autoimmune Diseases with Affective Disorders Phenotypes: In Search of New Mechanisms for Therapeutic Intervention
Abstract
Identification of shared etiopathogenetic links of depression and autoimmune diseases may be promising for the selection of new therapeutic targets, in particular in conditions resistant to antidepressant therapy.
The aim of this study was: to evaluate the associations of polygenic risk scores (PRS) for most prevalent autoimmune diseases with affective disorders phenotypes.
Material and methods. The study involved 4,520 clients of the Russian private genetics company “Genotek” (women — 50.4 %; average age of participants — 36.8 (S.D. = 9.8) years). Phenotyping results revealed the DSM criteria for depression in 17.8 % (n = 803) of participants; bipolar depression — in 8.1 % (n = 366); generalized anxiety disorder (GAD) — in 12.3 % (n = 557). A lifetime episode of anhedonia greater than 2 weeks was reported by 57.6 % (n = 2604) of participants. The PRS was used to analyze the genetic relationship between psychiatric disorders and autoimmune diseases. Considering epidemiological data, we selected three most prevalent autoimmune phenotypes to search for genetic associations: rheumatoid arthritis (RA), multiple sclerosis (MS) and Crohn's disease (CD).
Results. The GAD phenotype showed the largest number of significant associations for all autoimmune diseases. It was also shown that there were significant associations for RA with the phenotypes “Self-survey-depression”, “Self-survey-bipolar depression” and “Self-survey-GAD”; for CD with the phenotypes “Self-surveyanhedonia”, “Self-survey-GAD”; and MS with the “Self-survey-GAD” phenotype. Significant associations were found for the anhedonia phenotype and CD. When adjusted for multiple comparisons, significance was noted for the associations of RA with the “Self-survey-Depression” phenotype and CD and MS with the “Self-survey-GAD” phenotype.
Conclusion. Our study showed significant PRS associations for all types of autoimmune pathology. The identification of clear depressive phenotypes increases the likelihood of identifying specific associations for comorbid diseases, which provides more opportunities for their further use, including in the therapeutic process.
Keywords
therapeutic resistance, depression, autoimmune diseases, inflammation, polygenic risk scores, comorbidity
References
- WHO. Depressive disorder (depression). – 31 March, 2022. – Available at: https://www.who.int/news-room/fact-sheets/detail/depression (accessed September 3, 2023).
- Незнанов Н.Г., Мазо Г.Э., Рукавишников Г.В., Кибитов А.О. Депрессия как предиктор соматических заболеваний: патофизиологические предпосылки и генетический риск // Успехи физиологических наук. – 2017. – № 4 (48). – С. 29–39.
- Незнанов Н.Г., Кибитов А.О., Рукавишников Г.В., Мазо Г.Э. Прогностическая роль депрессии в качестве предиктора манифестации хронических соматических заболеваний // Терапевтический архив. – 2018. – № 12 (90). – C. 122–132. – https://doi.org/10.26442/00403660.2018.12.000019
- Рукавишников Г.В., Кибитов А.О., Мазо Г.Э., Незнанов Н.Г. Генетическая детерминированность коморбидности депрессии и соматических заболеваний // Журнал неврологии и психиатрии имени C.C. Корсакова. – 2019. – № 1 (119). – С. 89–96. – https://doi.org/10.17116/jnevro201911901189
- Рукавишников Г.В., Мазуров В.И., Незнанов Н.Г. и др. Ревматоидный артрит и депрессия: общие патофизиологические механизмы // Клиническая медицина. – 2019. – № 8–9 (97). – С. 586–591. – https://doi.org/10.34651/0023-2149-2019-97-8-9-586-591
- Рукавишников Г.В., Смирнова А.А., Незнанов Н.Г. и др. Общие патофизиологические механизмы системной красной волчанки и аффективных расстройств // Вестник Северо-Западного государственного медицинского университета имени И.И. Мечникова. – 2021. – № 2 (13). – C. 5–14. – https://doi.org/10.17816/mechnikov61262
- Рукавишников Г.В., Ракитько А.С., Касьянов Е.Д. и др. Связь депрессии и тревоги с соматическими заболеваниями: роль негативных внешних факторов // Журнал неврологии и психиатрии имени С.С. Корсакова. Спецвыпуски. – 2023. – № 4–2 (123). – С. 74–80. – https://doi.org/10.17116/jnevro202312304274
- Bisgaard T.H., Allin K.H., Keefer L. et al. Depression and anxiety in inflammatory bowel disease: epidemiology, mechanisms and treatment // Nat Rev Gastroenterol Hepatol. – 2022. – Vol. 19. – Pp. 717–726. – https://doi.org/10.1038/s41575-022-00634-6
- Solaro C., Gamberinim G., Masuccio F.G. Depression in Multiple Sclerosis: Epidemiology, Aetiology, Diagnosis and Treatment // CNS drugs. – 2018. – Vol. 32 (2). – Pp. 117–133. – https://doi.org/10.1007/s40263-018-0489-5
- Matcham F., Rayner L., Steer S., Hotopf M. The prevalence of depression in rheumatoid arthritis: a systematic review and meta-analysis // Rheumatology (Oxford, England). – 2013. – Vol. 52 (12). – Pp. 2136–2148. – https://doi.org/10.1093/rheumatology/ket169
- Chan V.K.Y., Luo H., Chan S.S.M. et al. Treatment-resistant depression and risk of autoimmune diseases: evidence from a population-based cohort and nested case-control study // Transl Psychiatry. – 2023. – Vol. 13 (76). – https://doi.org/10.1038/s41398-023-02383-9
- Harsanyi S., Kupcova I., Danisovic L., Klein M. Selected Biomarkers of Depression: What Are the Effects of Cytokines and Inflammation? // Int J Mol Sci. – 2022. – Vol. 29, no. 24 (1). – Art. 578. – https://doi.org/10.3390/ijms24010578
- Berk M., Williams L.J., Jacka F.N. et al. So depression is an inflammatory disease, but where does the inflammation come from? // BMC Med. – 2013. – Vol. 12 (11). – Art. 200. – https://doi.org/10.1186/1741-7015-11-200
- Glanville K.P., Coleman J.R.I., O’Reilly P.F. et al. Investigating Pleiotropy Between Depression and Autoimmune Diseases Using the UK Biobank // Biological psychiatry global open science. – 2021. – Vol. 1 (1). – Pp. 48–58. – https://doi.org/10.1016/j.bpsgos.2021.03.002
- Thompson D.J., Wells D., Selzam S. et al. UK Biobank release and systematic evaluation of optimised polygenic risk scores for 53 diseases and quantitative traits. – 2022, June. – https://doi.org/10.1101/2022.06.16.22276246
- Li Q.S., Tian C., Hinds, D. et al. Genome-wide association studies of antidepressant class response and treatment-resistant depression // Transl Psychiatry. – 2020. – Vol. 10 (360). – https://doi.org/10.1038/s41398-020-01035-6
- Касьянов Е.Д., Ракитько А.С., Рукавишников Г.В. и др. Современные исследования по полногеномному поиску ассоциации при депрессии: критическая роль фенотипирования // Журнал неврологии и психиатрии имени С.С. Корсакова. – 2022. – № 1 (122). – С. 50–61. – https://doi.org/10.17116/jnevro202212201150
- Касьянов Е.Д., Вербицкая Е.В., Ракитько А.С. и др. Валидация скринингового теста, основанного на критериях DSM-5, методом цифрового фенотипирования на российской популяции // Журнал неврологии и психиатрии имени С.С. Корсакова. – 2022. – № 6–2 (122). – C. 64–70. – https://doi.org/10.17116/jnevro202212206264
- Browning S.R., Browning B.L. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering // Am J Hum Genet. – 2007. – Vol. 81 (5). – Pp. 1084–1097. – https://doi.org/10.1086/521987
- A global reference for human genetic variation // Nature. – 2015. – Vol. 526. – Pp. 68–74. – https://doi.org/10.1038/nature15393
- McCarthy S., Das S., Kretzschmar W. et al. A reference panel of 64,976 haplotypes for genotype imputation // Nat Genet. – 2016. – Vol. 48 (10). – Pp. 1279–1283. – https://doi.org/10.1038/ng.3643
- Marees A.T., de Kluiver H., Stringer S. et al. A tutorial on conducting genome-wide association studies: Quality control and statistical analysis // Int J Methods Psychiatr Res. – 2018. – Vol. 27 (2). – e1608. – https://doi.org/10.1002/mpr.1608
- Andersson N.W., Gustafsson L.N., Okkels N. et al. Depression and the risk of autoimmune disease: a nationally representative, prospective longitudinal study // Psychol Med. – 2015. – Vol. 45 (16). – Pp. 3559–3569. – https://doi.org/10.1017/S0033291715001488
- Choi S.W., Mak T.S-H., O’Reilly P.F. Tutorial: A guide to performing polygenic risk score analyses // Nat Protoc. – 2020. – Vol. 15. – Pp. 2759–2772. – https://doi.org/10.1038/s41596-020-0353-1
- Ушкалова А.В., Костюкова Е.Г., Мосолов С.Н. Современная терапия депрессивной фазы при биполярном аффективном расстройстве // Журнал неврологии и психиатрии имени С.С. Корсакова. – 2012. – Т. 11 (2). – С. 72–81.
- Fountoulakis K.N. An update of evidence-based treatment of bipolar depression: Where do we stand? // Curr Opin Psychiatry. – 2010. – Vol. 23. – Pp. 19–24. – https://doi.org/10.1097/YCO.0b013e328333e132
- Milaneschi Y., Lamers F., Berk M., Penninx B.W.J.H. Depression heterogeneity and its biological underpinnings: Toward immunometabolic depression // Biol Psychiatry. – 2020. – Vol. 88 (5). – Pp. 369–380. – https://doi.org/10.1016/j.biopsych.2020.01.014
- Peres D.S., Rodrigues P., Viero F.T. et al. Prevalence of depression and anxiety in the different clinical forms of multiple sclerosis and associations with disability: A systematic review and meta-analysis // Brain Behav Immun Health. – 2022. – Vol. 6 (24). – Art. 100484. – https://doi.org/10.1016/j.bbih.2022.100484
- Julian L.J., Vella L., Frankel D. et al. ApoE alleles, depression and positive affect in multiple sclerosis // Mult Scler. – 2009. – Vol. 15 (3). – Pp. 311–315. – https://doi.org/10.1177/1352458508099478
- Santoro M., Nociti V., De Fino C. et al. Depression in multiple sclerosis: effect of brain derived neurotrophic factor Val66Met polymorphism and disease perception // Eur J Neurol. – 2016. – Vol. 23 (3). – Pp. 630–640. – https://doi.org/10.1111/ene.12913
- Luo J., Xu Z., Noordam R., van Heemst D., Li-Gao R. Depression and Inflammatory Bowel Disease: A Bidirectional Two-sample Mendelian Randomization Study // J Crohns Colitis. – 2022. – Vol. 16 (4). – Pp. 633–642. – https://doi.org/10.1093/ecco-jcc/jjab191
- Pinakhina D., Yermakovich D., Vergasova E. et al. GWAS of depression in 4,520 individuals from the Russian population highlights the role of MAGI2 (S-SCAM) in the gut-brain axis // Front Genet. – 2023. – Vol. 4 (13). – Art. 972196. – https://doi.org/10.3389/fgene.2022.972196
- McGovern D.P., Taylor K.D., Landers C. et al. MAGI2 genetic variation and inflammatory bowel disease // Inflamm Bowel Dis. – 2009. – Vol. 15 (1). – Pp. 75–83. – https://doi.org/10.1002/ibd.20611
- Xiang S., Xu D., Jin Y. et al. The role of inflammatory biomarkers in the association between rheumatoid arthritis and depression: a Mendelian randomization study // Inflammopharmacology. – 2023. Vol. 31 (4). – Pp. 1839–1848. – https://doi.org/10.1007/s10787-023-01241-w
- Upadhyay V., Fu Y.X. Lymphotoxin signalling in immune homeostasis and the control of microorganisms // Nat Rev Immunol. – 2013. – Vol. 13 (4). – Pp. 270–279. – https://doi.org/10.1038/nri3406
- Borbély Е́., Simon M., Fuchs E. et al. Novel drug developmental strategies for treatmentresistant depression // Br J Pharmacol. – 2022. – Vol. 179 (6). – Pp. 1146–1186. – https://doi.org/10.1111/bph.15753
- Кучер А.Н., Бабушкина Н.П., Буйкин С.В., Пузырев В.П. Плейотропные эффекты генов предрасположенности многофакторным заболеваниям // Молекулярная медицина. – 2013. – № 2. – С. 13–23.
- Плотников Д.Ю. Менделевская рандомизация: применение генетической информации в эпидемиологических исследованиях (обзор) // Научные результаты биомедицинских исследований. – 2023. – № 2 (9). – С. 158–172. – https://doi.org/10.18413/2658-6533-2023-9-2-0-1
