HLA-DRB1 and HLA-DQB1 genetic diversity modulates response to lithium in bipolar affective disorders
Jazyk angličtina Země Anglie, Velká Británie Médium electronic
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
R01 MH059556
NIMH NIH HHS - United States
R01 MH059535
NIMH NIH HHS - United States
R01 MH059567
NIMH NIH HHS - United States
R01 MH059545
NIMH NIH HHS - United States
Z01 MH002810
Intramural NIH HHS - United States
I01 BX003431
BLRD VA - United States
R01 MH059548
NIMH NIH HHS - United States
R01 MH059534
NIMH NIH HHS - United States
R01 MH059533
NIMH NIH HHS - United States
K02 DA021237
NIDA NIH HHS - United States
R01 MH059553
NIMH NIH HHS - United States
R01 MH060068
NIMH NIH HHS - United States
PubMed
34497278
PubMed Central
PMC8426488
DOI
10.1038/s41598-021-97140-7
PII: 10.1038/s41598-021-97140-7
Knihovny.cz E-zdroje
- MeSH
- alely MeSH
- bipolární porucha farmakoterapie genetika MeSH
- dospělí MeSH
- farmakogenetika MeSH
- frekvence genu MeSH
- genetická predispozice k nemoci * MeSH
- genetická variace MeSH
- genotyp MeSH
- haplotypy MeSH
- HLA-DQ beta řetězec genetika MeSH
- HLA-DRB1 řetězec genetika MeSH
- lidé středního věku MeSH
- lidé MeSH
- lithium terapeutické užití MeSH
- výsledek terapie MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- HLA-DQ beta řetězec MeSH
- HLA-DQB1 antigen MeSH Prohlížeč
- HLA-DRB1 řetězec MeSH
- lithium MeSH
Bipolar affective disorder (BD) is a severe psychiatric illness, for which lithium (Li) is the gold standard for acute and maintenance therapies. The therapeutic response to Li in BD is heterogeneous and reliable biomarkers allowing patients stratification are still needed. A GWAS performed by the International Consortium on Lithium Genetics (ConLiGen) has recently identified genetic markers associated with treatment responses to Li in the human leukocyte antigens (HLA) region. To better understand the molecular mechanisms underlying this association, we have genetically imputed the classical alleles of the HLA region in the European patients of the ConLiGen cohort. We found our best signal for amino-acid variants belonging to the HLA-DRB1*11:01 classical allele, associated with a better response to Li (p < 1 × 10-3; FDR < 0.09 in the recessive model). Alanine or Leucine at position 74 of the HLA-DRB1 heavy chain was associated with a good response while Arginine or Glutamic acid with a poor response. As these variants have been implicated in common inflammatory/autoimmune processes, our findings strongly suggest that HLA-mediated low inflammatory background may contribute to the efficient response to Li in BD patients, while an inflammatory status overriding Li anti-inflammatory properties would favor a weak response.
Bipolar Center Wiener Neustadt Medical Faculty Sigmund Freud University Vienna Austria
Center for Molecular Medicine Karolinska University Hospital Stockholm Sweden
Centre for Human Genetics University of Marburg Marburg Germany
Centre Investigation Clinique CIC Henri Mondor Université Paris Est Créteil 94010 Créteil France
Centro de Investigación Biomédica en Red de Salud Mental Instituto de Salud Carlos 3 Madrid Spain
Centro de Investigación Biomédica en Salud Mental Madrid Spain
Department of Adult Psychiatry Poznan University of Medical Sciences Poznan Poland
Department of Biomedical Sciences University of Cagliari Cagliari Italy
Department of Clinical Neurosciences Karolinska Institutet Stockholm Sweden
Department of Health Sciences Research Mayo Clinic Rochester MN USA
Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden
Department of Mental Health Johns Hopkins Bloomberg School of Public Health Baltimore MD USA
Department of Molecular Medicine and Surgery Karolinska Institute Stockholm Sweden
Department of Pharmacology Dalhousie University Halifax NS Canada
Department of Psychiatry and Behavioral Sciences Johns Hopkins University Baltimore MD USA
Department of Psychiatry and Psychology Mayo Clinic Rochester MN USA
Department of Psychiatry and Psychotherapy Ludwig Maximilian University Munich Munich Germany
Department of Psychiatry Dalhousie University Halifax NS Canada
Department of Psychiatry Dokkyo Medical University School of Medicine Mibu Tochigi Japan
Department of Psychiatry Hokkaido University Graduate School of Medicine Sapporo Japan
Department of Psychiatry Lindner Center of Hope University of Cincinnati Mason OH USA
Department of Psychiatry Melbourne Medical School The University of Melbourne Melbourne Australia
Department of Psychiatry Mood Disorders Unit HUG Geneva University Hospitals Geneva Switzerland
Department of Psychiatry Osaka University Graduate School of Medicine Osaka Japan
Department of Psychiatry University of California San Diego La Jolla CA USA
Department of Psychiatry University of Campania 'Luigi Vanvitelli' Naples Italy
Department of Psychiatry University of Münster Münster Germany
Department of Psychiatry University of Perugia Perugia Italy
Department of Psychiatry VA San Diego Healthcare System San Diego CA USA
Discipline of Psychiatry School of Medicine University of Adelaide Adelaide SA Australia
Douglas Mental Health University Institute McGill University Montreal QC Canada
Fondation FondaMental Créteil France
HSL Institute for Aging Research Harvard Medical School Boston MA USA
Human Genomics Research Group Department of Biomedicine University Hospital Basel Basel Switzerland
Institut de Biomedicina de la Universitat de Barcelona Barcelona Spain
Institute of Medical Genetics and Pathology University Hospital Basel Basel Switzerland
Institute of Neuroscience and Medicine Research Center Jülich Jülich Germany
Mental Health Research Group IMIM Hospital del Mar Barcelona Catalonia Spain
Mental Health Services Northern Adelaide Local Health Network Adelaide SA Australia
Montreal Neurological Institute and Hospital McGill University Montreal QC Canada
Mood Disorders Center of Ottawa Ottawa ON Canada
National Institute of Mental Health Klecany Czech Republic
Neuroscience Research Australia Sydney NSW Australia
Office of Mental Health VA San Diego Healthcare System San Diego CA USA
Plateforme de Ressources Biologiques HU Henri Mondor 94010 Créteil France
Program for Quantitative Genomics Harvard School of Public Health Boston MA USA
Psychiatric Genetic Unit Poznan University of Medical Sciences Poznan Poland
School of Medical Sciences University of New South Wales Sydney NSW Australia
School of Psychiatry University of New South Wales Sydney NSW Australia
Service de Psychiatrie Hôpital Charles Perrens Bordeaux France
The Neuromodulation Unit McGill University Health Centre Montreal QC Canada
Unit of Clinical Pharmacology Hospital University Agency of Cagliari Cagliari Italy
Unitat de Zoologia 1 Antropologia Biològica University of Barcelona CIBERSAM Barcelona Spain
Zobrazit více v PubMed
Ferrari AJ, et al. The prevalence and burden of bipolar disorder: findings from the Global Burden of Disease Study 2013. Bipolar Disord. 2016;18:440–450. doi: 10.1111/bdi.12423. PubMed DOI
Chesney E, Goodwin GM, Fazel S. Risks of all-cause and suicide mortality in mental disorders: a meta-review. World Psychiatry. 2014;13:153–160. doi: 10.1002/wps.20128. PubMed DOI PMC
Grande I, Berk M, Birmaher B, Vieta E. Bipolar disorder. The Lancet. 2016;387:1561–1572. doi: 10.1016/S0140-6736(15)00241-X. PubMed DOI
Miura T, et al. Comparative efficacy and tolerability of pharmacological treatments in the maintenance treatment of bipolar disorder: A systematic review and network meta-analysis. The Lancet Psychiatry. 2014;1:351–359. doi: 10.1016/S2215-0366(14)70314-1. PubMed DOI
Malhi GS, Tanious M, Das P, Berk M. The science and practice of lithium therapy. Aust. N. Z. J. Psychiatry. 2012;46:192–211. doi: 10.1177/0004867412437346. PubMed DOI
Malhi GS, Adams D, Berk M. Is lithium in a class of its own? A brief profile of its clinical use. Aust. N. Z. J. Psychiatry. 2009;43:1096–1104. doi: 10.3109/00048670903279937. PubMed DOI
Yildiz A, Vieta E, Leucht S, Baldessarini RJ. Efficacy of antimanic treatments: meta-analysis of randomized, controlled trials. Neuropsychopharmacology. 2011;36:375–389. doi: 10.1038/npp.2010.192. PubMed DOI PMC
Cipriani A, et al. Comparative efficacy and acceptability of antimanic drugs in acute mania: A multiple-treatments meta-analysis. The Lancet. 2011;378:1306–1315. doi: 10.1016/S0140-6736(11)60873-8. PubMed DOI
Joas E, et al. Pharmacological treatment and risk of psychiatric hospital admission in bipolar disorder. Br. J. Psychiatry. 2017;210:197–202. doi: 10.1192/bjp.bp.116.187989. PubMed DOI
National Collaborating Centre for Mental Health (UK) Bipolar Disorder: The Management of Bipolar Disorder in Adults, Children and Adolescents, in Primary and Secondary Care. British Psychological Society; 2006. PubMed
Yatham LN, et al. Canadian Network for Mood and Anxiety Treatments (CANMAT) and International Society for Bipolar Disorders (ISBD) collaborative update of CANMAT guidelines for the management of patients with bipolar disorder: Update 2013: CANMAT guidelines for bipolar disorder. Bipolar Disord. 2013;15:1–44. doi: 10.1111/bdi.12025. PubMed DOI
Malhi GS, et al. Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for mood disorders. Aust. N. Z. J. Psychiatry. 2015;49:1087–1206. doi: 10.1177/0004867415617657. PubMed DOI
Goodwin G, et al. Evidence-based guidelines for treating bipolar disorder: Revised third edition recommendations from the British Association for Psychopharmacology. J. Psychopharmacol. 2016;30:495–553. doi: 10.1177/0269881116636545. PubMed DOI PMC
Miller F, Tanenbaum JH, Griffin A, Ritvo E. Prediction of treatment response in bipolar, manic disorder. J. Affect. Disord. 1991;21:75–77. doi: 10.1016/0165-0327(91)90052-T. PubMed DOI
Machado-Vieira R, et al. Early improvement with lithium in classic mania and its association with later response. J. Affect. Disord. 2013;144:160–164. doi: 10.1016/j.jad.2012.05.039. PubMed DOI PMC
Hou L, et al. Genetic variants associated with response to lithium treatment in bipolar disorder: A genome-wide association study. The Lancet. 2016;387:1085–1093. doi: 10.1016/S0140-6736(16)00143-4. PubMed DOI PMC
Schubert KO, Wisdom A. Should the Australian Therapeutic Goods Administration recommend rapid dosing of lithium carbonate in acute mania? Aust. N. Z. J. Psychiatry. 2018;52:387–387. doi: 10.1177/0004867417746000. PubMed DOI
Chen C-H, et al. Variant GADL1 and response to lithium therapy in bipolar I disorder. N. Engl. J. Med. 2014;370:119–128. doi: 10.1056/NEJMoa1212444. PubMed DOI
International Consortium on Lithium Genetics (ConLi+Gen) et al. Association of polygenic score for Schizophrenia and HLA antigen and inflammation genes with response to lithium in bipolar affective disorder: A genome-wide association study. JAMA Psychiat. 2017 doi: 10.1001/jamapsychiatry.2017.3433. PubMed DOI PMC
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium et al. Association of polygenic score for major depression with response to lithium in patients with bipolar disorder. Mol. Psychiatry. 2020 doi: 10.1038/s41380-020-0689-5. PubMed DOI
Schizophrenia Working Group of the Psychiatric Genomics Consortium et al. Schizophrenia risk from complex variation of complement component 4. Nature. 2016;530:177–183. doi: 10.1038/nature16549. PubMed DOI PMC
Del Vecchio M, et al. Cell membrane predictors of response to lithium prophylaxis of affective disorders. Neuropsychobiology. 1981;7:243–247. doi: 10.1159/000117856. PubMed DOI
Maj M, Vecchio M, Starace F, Pirozzi R, Kemali D. Prediction of affective psychoses response to lithium prophylaxis: The role of socio-demographic, clinical, psychological and biological variables. Acta Psychiatr. Scand. 1984;69:37–44. doi: 10.1111/j.1600-0447.1984.tb04514.x. PubMed DOI
Perris C, Strandman E, Wählby L. HL-A antigens and the response to prophylactic lithium. Neuropsychobiology. 1979;5:114–118. doi: 10.1159/000117671. PubMed DOI
Gonzalez-Galarza FF, et al. Allele frequency net database (AFND) 2020 update: Gold-standard data classification, open access genotype data and new query tools. Nucleic Acids Res. 2019 doi: 10.1093/nar/gkz1029. PubMed DOI PMC
Thomson, G. et al. Sequence feature variant type (SFVT) analysis of the HLA genetic association in juvenile idiopathic arthritis, in Pacific Symposium on Biocomputing, 359–370 (2010). 10.1142/9789814295291_0038. PubMed PMC
Barrett JC, Fry B, Maller J, Daly MJ. Haploview: Analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21:263–265. doi: 10.1093/bioinformatics/bth457. PubMed DOI
Rybakowski JK. Recent advances in the understanding and management of bipolar disorder in adults. F1000Res. 2017;6:2033. doi: 10.12688/f1000research.12329.1. PubMed DOI PMC
Beurel E, Jope RS. Inflammation and lithium: Clues to mechanisms contributing to suicide-linked traits. Transl. Psychiatry. 2014;4:e488. doi: 10.1038/tp.2014.129. PubMed DOI PMC
Beurel E, Michalek SM, Jope RS. Innate and adaptive immune responses regulated by glycogen synthase kinase-3 (GSK3) Trends Immunol. 2010;31:24–31. doi: 10.1016/j.it.2009.09.007. PubMed DOI PMC
Nassar A, Azab AN. Effects of lithium on inflammation. ACS Chem. Neurosci. 2014;5:451–458. doi: 10.1021/cn500038f. PubMed DOI PMC
Rybakowski JK. Lithium treatment in the era of personalized medicine. Drug Dev. Res. 2020 doi: 10.1002/ddr.21660. PubMed DOI
Reinsmoen NL, Bach FH. Structural model for T-cell recognition of HLA class II-associated alloepitopes. Hum Immunol. 1990;27:51–72. doi: 10.1016/0198-8859(90)90095-7. PubMed DOI
Yin L, Maben ZJ, Becerra A, Stern LJ. Evaluating the role of HLA-DM in MHC class II-peptide association reactions. J. Immunol. 2015;195:706–716. doi: 10.4049/jimmunol.1403190. PubMed DOI PMC
Ling SF, et al. HLA-DRB1 amino acid positions 11/13, 71, and 74 are associated with inflammation level, disease activity, and the health assessment questionnaire score in patients with inflammatory polyarthritis. Arthritis Rheumatol. (Hoboken, N.J.) 2016;68:2618–2628. doi: 10.1002/art.39780. PubMed DOI PMC
Weyand CM, McCarthy TG, Goronzy JJ. Correlation between disease phenotype and genetic heterogeneity in rheumatoid arthritis. J. Clin. Invest. 1995;95:2120–2126. doi: 10.1172/JCI117900. PubMed DOI PMC
Kaimen-Maciel DR, et al. HLA-DRB1* allele-associated genetic susceptibility and protection against multiple sclerosis in Brazilian patients. Mol. Med. Rep. 2009;2:993–998. PubMed
Ramagopalan SV, Ebers GC. Multiple sclerosis: major histocompatibility complexity and antigen presentation. Genome Med. 2009;1:105. doi: 10.1186/gm105. PubMed DOI PMC
Mamedov A, et al. Protective allele for multiple sclerosis HLA-DRB1*01:01 provides kinetic discrimination of myelin and exogenous antigenic peptides. Front. Immunol. 2020;10:3088. doi: 10.3389/fimmu.2019.03088. PubMed DOI PMC
Marangon AV, et al. Protective effect of HLA-DRB1*11 and predisposition of HLA-C*04 in the development of severe liver damage in Brazilian patients with chronic hepatitis C virus infection: HLA-DRB1*11 and C*04 on liver damage. Scand. J. Immunol. 2012;76:440–447. doi: 10.1111/j.1365-3083.2012.02755.x. PubMed DOI
Ban Y, et al. Analysis of immune regulatory genes in familial and sporadic Graves’ disease. J. Clin. Endocrinol. Metab. 2004;89:4562–4568. doi: 10.1210/jc.2003-031693. PubMed DOI
Crespi BJ, Go MC. Diametrical diseases reflect evolutionary-genetic tradeoffs: Evidence from psychiatry, neurology, rheumatology, oncology and immunology. Evol. Med. Public Health. 2015;2015:216–253. doi: 10.1093/emph/eov021. PubMed DOI PMC
Khakoo SI, et al. HLA and NK cell inhibitory receptor genes in resolving hepatitis C virus infection. Science. 2004;305:872–874. doi: 10.1126/science.1097670. PubMed DOI
Lenz TL, et al. Widespread non-additive and interaction effects within HLA loci modulate the risk of autoimmune diseases. Nat. Genet. 2015;47:1085–1090. doi: 10.1038/ng.3379. PubMed DOI PMC
Jia X, et al. Imputing amino acid polymorphisms in human leukocyte antigens. PLoS ONE. 2013;8:e64683. doi: 10.1371/journal.pone.0064683. PubMed DOI PMC
Purcell S, et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 2007;81:559–575. doi: 10.1086/519795. PubMed DOI PMC