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Niewold TB, Aksentijevich I, Gorevic PD, Gibson G, Yao Q. Genetically transitional disease: conceptual understanding and applicability to rheumatic disease. Nat Rev Rheumatol 2024; 20:301-310. [PMID: 38418715 DOI: 10.1038/s41584-024-01086-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/02/2024]
Abstract
In genomic medicine, the concept of genetically transitional disease (GTD) refers to cases in which gene mutation is necessary but not sufficient to cause disease. In this Perspective, we apply this novel concept to rheumatic diseases, which have been linked to hundreds of genetic variants via association studies. These variants are in the 'grey zone' between monogenic variants with large effect sizes and common susceptibility alleles with small effect sizes. Among genes associated with rare autoinflammatory diseases, many low-frequency and/or low-penetrance variants are known to increase susceptibility to systemic inflammation. In autoimmune diseases, hundreds of HLA and non-HLA genetic variants have been revealed to be modest- to moderate-risk alleles. These diseases can be reclassified as GTDs. The same concept could apply to many other human diseases. GTD could improve the reporting of genetic testing results, diagnostic yields, genetic counselling and selection of therapy, as well as facilitating research using a novel approach to human genetic diseases.
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Affiliation(s)
- Timothy B Niewold
- Department of Rheumatology, Hospital for Special Surgery, New York, NY, USA
| | - Ivona Aksentijevich
- Inflammatory Disease Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Peter D Gorevic
- Division of Rheumatology, Allergy and Immunology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, USA
| | - Greg Gibson
- Center for Integrative Genomics, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA
| | - Qingping Yao
- Division of Rheumatology, Allergy and Immunology, Stony Brook University Renaissance School of Medicine, Stony Brook, NY, USA.
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2
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Wienand D, Wijnen LI, Heilig D, Wippel C, Arango C, Knudsen GM, Goodwin GM, Simon J. Comorbid physical health burden of serious mental health disorders in 32 European countries. BMJ MENTAL HEALTH 2024; 27:e301021. [PMID: 38580438 PMCID: PMC11021748 DOI: 10.1136/bmjment-2024-301021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 03/22/2024] [Indexed: 04/07/2024]
Abstract
BACKGROUND Mental health disorders (MHDs) are associated with physical health disparities, but underlying excess risk and health burden have not yet been comprehensively assessed. OBJECTIVE To assess the burden of comorbid physical health conditions (PHCs) across serious MHDs in Europe. METHODS We estimated the relative prevalence risk of PHCs associated with alcohol use disorders (AUD), bipolar disorder (BD), depressive disorders (DD) and schizophrenia (SZ) across working-age populations of 32 European countries in 2019 based on a targeted literature review. Excess physical health burden was modelled using population-attributable fractions and country-level prevalence data. FINDINGS We screened 10 960 studies, of which 41 were deemed eligible, with a total sample size of over 18 million persons. Relative prevalence of PHCs was reported in 54%, 20%, 15%, 5% and 7% of studies, respectively, for SZ, DD, BD, AUD or mixed. Significant relative risk estimates ranged from 1.44 to 3.66 for BD, from 1.43 to 2.21 for DD, from 0.81 to 1.97 for SZ and 3.31 for AUD. Excess physical health burden ranged between 27% and 67% of the total, corresponding to 84 million (AUD), 67 million (BD), 66 million (DD) and 5 million (SZ) PHC diagnoses in Europe. A 1% reduction in excess risk assuming causal inference could result in two million fewer PHCs across investigated MHDs. CONCLUSIONS This is the first comprehensive study of the physical health burden of serious MHDs in Europe. The methods allow for updates, refinement and extension to other MHDs or geographical areas. CLINICAL IMPLICATIONS The results indicate potential population health benefits achievable through more integrated mental and physical healthcare and prevention approaches.
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Affiliation(s)
- Dennis Wienand
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Lena I Wijnen
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria
- Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands
| | - Daniel Heilig
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Christoph Wippel
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Celso Arango
- Department of Child and Adolescent Psychiatry, Institute of Psychiatry and Mental Health, Hospital General Universitario Gregorio Marañón, IiSGM, CIBERSAM, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Gitte M Knudsen
- Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark
- Institute of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Guy M Goodwin
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Judit Simon
- Department of Health Economics, Center for Public Health, Medical University of Vienna, Vienna, Austria
- Department of Psychiatry, University of Oxford, Oxford, UK
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Eaton WW, Rodriguez KM, Thomas MA, Johnson J, Talor MV, Dohan C, Bingham CO, Musci R, Roth K, Kelly DL, Cihakova D, Darrah E. Immunologic profiling in schizophrenia and rheumatoid arthritis. Psychiatry Res 2022; 317:114812. [PMID: 36058039 PMCID: PMC10984252 DOI: 10.1016/j.psychres.2022.114812] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Revised: 08/22/2022] [Accepted: 08/26/2022] [Indexed: 11/20/2022]
Abstract
The negative relationship between schizophrenia (SCZ) and rheumatoid arthritis (RA) has been observed for 85 years, but the mechanisms driving this association are unknown. This study analyzed differences in profiles of cytokines (IL-1β, IL-Ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IFNγ, TNFα), selected genes (HLA-DRB1, IL1RN, HP2), and antibodies related to gluten sensitivity (AGA-IgG, AGA-IgA), celiac disease (tTG), and systemic autoimmunity (ANA, anti-CCP, RF) in 40 subjects with SCZ, 40 with RA, and 40 healthy controls (HC). HLA-DRB1*04:01 alleles were enriched in persons with SCZ and RA compared with HC, and the HP2/HP2 genotype was 2-fold more prevalent in AGA/tTG-positive versus negative SCZ patients. Patients with SCZ demonstrated 52.5% positivity for any of the antibodies tested, compared to 90% of RA patients and 30% of HC. Cluster analysis of the cytokines revealed three clusters: one associated with SCZ marked by high levels of IL-1Ra, one associated with HC, and one associated with both SCZ and RA marked by elevated levels of IFNγ, TNFα, and IL-6. These analyses suggest that stratification of SCZ patients by cytokine profile may identify unique SCZ subgroups and enable the use of currently available cytokine-targeted treatment strategies.
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Affiliation(s)
- William W Eaton
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, US.
| | - Katrina M Rodriguez
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, US
| | - Mekha A Thomas
- Department of Medicine, Division of Rheumatology, Johns Hopkins School of Medicine, US
| | - Jeanette Johnson
- Department of Medicine, Division of Rheumatology, Johns Hopkins School of Medicine, US
| | - Monica V Talor
- Department of Pathology, Johns Hopkins School of Medicine, US
| | - Curtis Dohan
- Department of Pathology and Laboratory Medicine, University of Tennessee Health Science Center, US
| | - Clifton O Bingham
- Department of Medicine, Division of Rheumatology, Johns Hopkins School of Medicine, US
| | - Rashelle Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, US
| | - Kimberly Roth
- Department of Community Medicine, Mercer University School of Medicine, US
| | - Deanna L Kelly
- Maryland Psychiatric Research Center (MPRC), University of Maryland School of Medicine, US
| | | | - Erika Darrah
- Department of Medicine, Division of Rheumatology, Johns Hopkins School of Medicine, US
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Contribution from MHC-Mediated Risk in Schizophrenia Can Reflect a More Ethnic-Specific Genetic and Comorbid Background. Cells 2022; 11:cells11172695. [PMID: 36078103 PMCID: PMC9454640 DOI: 10.3390/cells11172695] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/24/2022] [Accepted: 08/25/2022] [Indexed: 11/23/2022] Open
Abstract
The immune system seems to play a significant role in the development of schizophrenia. This becomes more evident with the emerging role of MHC complex and cytokines in schizophrenia. In the recent past, several GWAS have implied that the 6p21 region was associated with schizophrenia. However, the majority of these studies were performed in European populations. Considering tremendous variations in this region and the probability of South Indian populations being quite different from the European gene-pool from an immunogenetic point, the present study was initiated to screen SNPs in the 2.28 MB region, spanning the extended MHC locus, in 492 cases and controls from a South Indian population. We found a very strong association of rs3815087 with schizophrenia at both allelic and genotypic levels with a 7.3-fold increased risk in the recessive model. Interestingly, the association of none of the earlier reported GWAS hits, such as rs3130375, rs3131296, rs9272219, or rs3130297 were found to be replicable in our study population. rs3815087 lies in the 5′UTR region of the psoriasis susceptibility 1 candidate 1 (PSORS1C1) gene, which further suggests that inflammatory processes might be an important common pathogenic pathway leading to both schizophrenia and psoriasis. The study hints at ethnic specific gene–environment interaction in determining the critical threshold for disease initiation and progression.
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Romão VC, Fonseca JE. Etiology and Risk Factors for Rheumatoid Arthritis: A State-of-the-Art Review. Front Med (Lausanne) 2021; 8:689698. [PMID: 34901047 PMCID: PMC8661097 DOI: 10.3389/fmed.2021.689698] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 11/04/2021] [Indexed: 12/24/2022] Open
Abstract
Rheumatoid arthritis (RA) is the most common systemic inflammatory rheumatic disease. It is associated with significant burden at the patient and societal level. Extensive efforts have been devoted to identifying a potential cause for the development of RA. Epidemiological studies have thoroughly investigated the association of several factors with the risk and course of RA. Although a precise etiology remains elusive, the current understanding is that RA is a multifactorial disease, wherein complex interactions between host and environmental factors determine the overall risk of disease susceptibility, persistence and severity. Risk factors related to the host that have been associated with RA development may be divided into genetic; epigenetic; hormonal, reproductive and neuroendocrine; and comorbid host factors. In turn, environmental risk factors include smoking and other airborne exposures; microbiota and infectious agents; diet; and socioeconomic factors. In the present narrative review, aimed at clinicians and researchers in the field of RA, we provide a state-of-the-art overview of the current knowledge on this topic, focusing on recent progresses that have improved our comprehension of disease risk and development.
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Affiliation(s)
- Vasco C Romão
- Rheumatology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon Academic Medical Centre and European Reference Network on Rare Connective Tissue and Musculoskeletal Diseases Network (ERN-ReCONNET), Lisbon, Portugal.,Rheumatology Research Unit, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - João Eurico Fonseca
- Rheumatology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon Academic Medical Centre and European Reference Network on Rare Connective Tissue and Musculoskeletal Diseases Network (ERN-ReCONNET), Lisbon, Portugal.,Rheumatology Research Unit, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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6
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Primary Psychosis: Risk and Protective Factors and Early Detection of the Onset. Diagnostics (Basel) 2021; 11:diagnostics11112146. [PMID: 34829493 PMCID: PMC8622963 DOI: 10.3390/diagnostics11112146] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 11/12/2021] [Accepted: 11/17/2021] [Indexed: 01/15/2023] Open
Abstract
Primary psychosis, which includes schizophrenia and other psychoses not caused by other psychic or physical conditions, has a strong impact worldwide in terms of disability, suffering and costs. Consequently, improvement of strategies to reduce the incidence and to improve the prognosis of this disorder is a current need. The purpose of this work is to review the current scientific literature on the main risk and protective factors of primary psychosis and to examine the main models of prevention, especially those related to the early detection of the onset. The conditions more strongly associated with primary psychosis are socio-demographic and economic factors such as male gender, birth in winter, ethnic minority, immigrant status, and difficult socio-economic conditions while the best-established preventive factors are elevated socio-economic status and an economic well-being. Risk and protective factors may be the targets for primordial, primary, and secondary preventive strategies. Acting on modifiable factors may reduce the incidence of the disorder or postpone its onset, while an early detection of the new cases enables a prompt treatment and a consequential better prognosis. According to this evidence, the study of the determinants of primary psychosis has a pivotal role in designing and promoting preventive policies aimed at reducing the burden of disability and suffering of the disorder.
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7
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Prados-Ojeda JL, Luque-Luque R, Gordillo-Urbano RM, Guler I, López-Medina C, Collantes-Estévez E, Escudero-Contreras A. Assessment of Subclinical Psychotic Symptoms in Patients with Rheumatoid Arthritis and Spondyloarthritis. J Clin Med 2021; 10:jcm10163461. [PMID: 34441756 PMCID: PMC8396915 DOI: 10.3390/jcm10163461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 07/31/2021] [Accepted: 08/01/2021] [Indexed: 11/17/2022] Open
Abstract
Inflammatory and autoimmune processes have been associated with the onset of depressive and psychotic symptoms. Rheumatoid arthritis (RA) and spondyloarthritis (SpA) are rheumatic diseases with an inflammatory etiology. A high prevalence of depressive and anxiety-related comorbidity has been reported for both diseases, with no evidence of a greater prevalence of psychosis. The objective of the present study was to evaluate for the first time subclinical psychotic symptoms in patients with RA and SpA. This is a cross-sectional, single-center study including RA and SpA patients, as well as healthy controls. Abnormal psychotic experiences (positive, negative, and depressive symptoms) were evaluated using the Community Assessment of Psychic Experiences (CAPE-42). Functional capacity was evaluated using the Short-Form Health Survey SF-12. We compared the CAPE and SF-12 scores between the three groups. We recruited 385 individuals: 218 with RA, 100 with SpA, and 67 healthy controls. According to the CAPE scale, the frequency of subclinical psychotic symptoms was greater in patients than in healthy controls (RA, 1.90 vs. 1.63, p < 0.001; SpA, 1.88 vs. 1.63, p = 0.001). Distress was also greater in patients than in controls owing to the presence of symptoms. No differences were observed between the three groups for the mental dimension scores in the SF-12 Health Survey (43.75 in RA, 45.54 in SpA, and 43.19 in healthy controls). Our findings point to a greater prevalence of subclinical psychotic symptoms in patients with RA and patients with SpA than in the general population. The results suggest an association between inflammation and depression/subclinical psychotic symptoms.
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Affiliation(s)
- Juan L. Prados-Ojeda
- Mental Health Department, Reina Sofia University Hospital, 14004 Cordoba, Spain; (J.L.P.-O.); (R.L.-L.); (R.M.G.-U.)
- Morphological and Socio-Sanitary Sciences, University of Cordoba, 14004 Cordoba, Spain
- Maimonides Institute of Biomedical Research of Córdoba (IMIBIC), 14004 Cordoba, Spain; (I.G.); (E.C.-E.); (A.E.-C.)
| | - Rogelio Luque-Luque
- Mental Health Department, Reina Sofia University Hospital, 14004 Cordoba, Spain; (J.L.P.-O.); (R.L.-L.); (R.M.G.-U.)
- Morphological and Socio-Sanitary Sciences, University of Cordoba, 14004 Cordoba, Spain
- Maimonides Institute of Biomedical Research of Córdoba (IMIBIC), 14004 Cordoba, Spain; (I.G.); (E.C.-E.); (A.E.-C.)
| | - Rafael M. Gordillo-Urbano
- Mental Health Department, Reina Sofia University Hospital, 14004 Cordoba, Spain; (J.L.P.-O.); (R.L.-L.); (R.M.G.-U.)
| | - Ipek Guler
- Maimonides Institute of Biomedical Research of Córdoba (IMIBIC), 14004 Cordoba, Spain; (I.G.); (E.C.-E.); (A.E.-C.)
| | - Clementina López-Medina
- Maimonides Institute of Biomedical Research of Córdoba (IMIBIC), 14004 Cordoba, Spain; (I.G.); (E.C.-E.); (A.E.-C.)
- Medical and Surgical Sciences Department, University of Cordoba, 14004 Cordoba, Spain
- Rheumatology Department, Reina Sofia University Hospital, 14004 Cordoba, Spain
- Correspondence:
| | - Eduardo Collantes-Estévez
- Maimonides Institute of Biomedical Research of Córdoba (IMIBIC), 14004 Cordoba, Spain; (I.G.); (E.C.-E.); (A.E.-C.)
- Medical and Surgical Sciences Department, University of Cordoba, 14004 Cordoba, Spain
- Rheumatology Department, Reina Sofia University Hospital, 14004 Cordoba, Spain
| | - Alejandro Escudero-Contreras
- Maimonides Institute of Biomedical Research of Córdoba (IMIBIC), 14004 Cordoba, Spain; (I.G.); (E.C.-E.); (A.E.-C.)
- Medical and Surgical Sciences Department, University of Cordoba, 14004 Cordoba, Spain
- Rheumatology Department, Reina Sofia University Hospital, 14004 Cordoba, Spain
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Tidblad L, Westerlind H, Delcoigne B, Askling J, Saevarsdottir S. Comorbidities at diagnosis of rheumatoid arthritis: a population-based case-control study. Rheumatology (Oxford) 2021; 60:3760-3769. [PMID: 33331937 DOI: 10.1093/rheumatology/keaa856] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2020] [Revised: 11/30/2020] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES Comorbidities contribute to the morbidity and mortality in RA, and are thus important to capture and treat early. In contrast to the well-studied comorbidity risks in established RA, less is known about the comorbidity pattern up until diagnosis of RA. We therefore compared whether the occurrence of defined conditions, and the overall comorbidity burden at RA diagnosis, is different from that in the general population, and if it differs between seropositive and seronegative RA. METHODS Using Swedish national clinical and demographic registers, we identified new-onset RA patients (n = 11 086), and matched (1:5) to general population controls (n = 54 813). Comorbidities prior to RA diagnosis were identified in the Patient and Prescribed Drug Registers, and compared using logistic regression. RESULTS At diagnosis of RA, respiratory (odds ratio (OR) = 1.58, 95% CI: 1.44, 1.74), endocrine (OR = 1.39, 95% CI: 1.31, 1.47) and certain neurological diseases (OR = 1.73, 95% CI: 1.59, 1.89) were more common in RA vs controls, with a similar pattern in seropositive and seronegative RA. In contrast, psychiatric disorders (OR = 0.87, 95% CI: 0.82, 0.92) and malignancies (OR = 0.88, 95% CI: 0.79, 0.97) were less commonly diagnosed in RA vs controls. The comorbidity burden was slightly higher in RA patients compared with controls (P <0.0001). CONCLUSION We found several differences in comorbidity prevalence between patients with new-onset seropositive and seronegative RA compared with matched controls from the general population. These findings are important both for our understanding of the evolvement of comorbidities in established RA and for early detection of these conditions.
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Affiliation(s)
- Liselotte Tidblad
- Division of Clinical Epidemiology, Department of Medicine, Solna, Stockholm, Karolinska Institutet, Sweden
| | - Helga Westerlind
- Division of Clinical Epidemiology, Department of Medicine, Solna, Stockholm, Karolinska Institutet, Sweden
| | - Bénédicte Delcoigne
- Division of Clinical Epidemiology, Department of Medicine, Solna, Stockholm, Karolinska Institutet, Sweden
| | - Johan Askling
- Division of Clinical Epidemiology, Department of Medicine, Solna, Stockholm, Karolinska Institutet, Sweden
| | - Saedis Saevarsdottir
- Division of Clinical Epidemiology, Department of Medicine, Solna, Stockholm, Karolinska Institutet, Sweden.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
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Seifert O, Baerwald C. Mental Comorbidity in Rheumatic Diseases. AKTUEL RHEUMATOL 2021. [DOI: 10.1055/a-1404-3089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
AbstractIn this review, we summarise the most relevant studies in a PubMed Search term
“mental disorders and rheumatic disease” in the last 15 years.
Mental disorders such as depression and anxiety are common in people with
rheumatic diseases. Treating these comorbidities can improve the patientʼs
quality of life. The high prevalence of symptoms of psychiatric disorders is a
challenge for rheumatologists, especially with regard to the differentiation of
possible psychiatric components in rheumatological diseases. Screening for
psychiatric problems in patients with rheumatic diseases should be evaluated as
soon as possible, as these can have a major influence on the perception of pain
and physical functioning status from the outset. Mental health disorders are
seen as a risk factor for poor patient outcomes, as patients may not adhere to
medical treatments. The potential side effects of biological agents can increase
patient anxiety and affect adherence to therapy. Therefore, interdisciplinary
care would be of great advantage in the treatment of rheumatic patients with
psychological comorbidities.
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Affiliation(s)
- Olga Seifert
- Rheumatologie, Uniklinik Leipzig, Leipzig, Deutschland
| | - Christoph Baerwald
- Department für Innere Medizin, Neurologie und Dermatologie,
Sektion Rheumatologie, Universitätsklinikum Leipzig, Leipzig,
Deutschland
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10
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Zamanpoor M, Ghaedi H, Omrani MD. The genetic basis for the inverse relationship between rheumatoid arthritis and schizophrenia. Mol Genet Genomic Med 2020; 8:e1483. [PMID: 32965087 PMCID: PMC7667353 DOI: 10.1002/mgg3.1483] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 06/30/2020] [Accepted: 07/10/2020] [Indexed: 12/13/2022] Open
Abstract
Introduction Rheumatoid arthritis is a common autoimmune disease and schizophrenia is a relatively common and debilitating neurological disorder. There are several common features between rheumatoid arthritis and schizophrenia. The inverse relationship between rheumatoid arthritis and schizophrenia has been replicated in several studies. Despite evidence for an inverse epidemiological relationship and negative correlations for risk between rheumatoid arthritis and schizophrenia, there are no biological data that directly support this inverse relationship. Materials and Methods’ We meta‐analyzed the genome‐wide association studies to investigate the shared association loci between rheumatoid arthritis and schizophrenia at the genome‐wide scale. Rheumatoid arthritis‐ and schizophrenia‐associated loci in most recent genome‐wide association studies of rheumatoid arthritis and schizophrenia were tested. Genetic risk score analysis was also conducted to investigate the collective contribution of schizophrenia risk loci to rheumatoid arthritis risk. Results Rheumatoid arthritis and schizophrenia meta‐genome‐wide association study showed a significant peak at the major histocompatibility complex locus on chromosome 6 in both rheumatoid arthritis‐schizophrenia meta‐genome‐wide association study and inverted meta‐genome‐wide association study datasets. Testing rheumatoid arthritis‐ and schizophrenia‐associated loci outside the human leukocyte antigen region showed no association with both rheumatoid arthritis and schizophrenia at a genome‐wide level of significance. Weighted genetic risk scores showed no evidence for a statistically significant association between rheumatoid arthritis and schizophrenia. Conclusion The finding of our study is consistent with the role of the major histocompatibility complex locus in the genetic correlation between rheumatoid arthritis and schizophrenia, and suggests that either schizophrenia has an autoimmune basis and/or rheumatoid arthritis has an active neurological component.
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Affiliation(s)
- Mansour Zamanpoor
- Medical Genetics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.,Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Hamid Ghaedi
- Medical Genetics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mir Davood Omrani
- Medical Genetics Department, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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McPhie ML, Bridgman AC, Kirchhof MG. A Review of Skin Disease in Schizophrenia. Dermatology 2020; 237:248-261. [PMID: 32759610 DOI: 10.1159/000508868] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 05/22/2020] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Schizophrenia is a debilitating neuropsychiatric condition that affects 0.5% of the North American population. Skin disease in schizophrenia has not been well described. Identifying skin diseases that are commonly comorbid with schizophrenia may help clinicians address the burden of skin disease in patients with schizophrenia. SUMMARY We conducted a nonsystematic review of the literature to identify skin diseases that may be associated with schizophrenia. We searched MEDLINE, EMBASE, and PsycINFO for articles published in English from December 2000 through April 2020 using the key words "skin disease" or "dermatological" or "dermatology" and "schizophrenia." Based on our results, we further refined the search terms to include more specific skin diseases. Schizophrenia appears to be associated with a number of skin diseases, including inflammatory dermatoses, autoimmune diseases, and certain genodermatoses. Limitations include being a nonsystematic review and the relative paucity of more rigorous clinical research using longitudinal study designs.
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Affiliation(s)
- Meghan L McPhie
- School of Medicine, Queen's University, Kingston, Ontario, Canada
| | | | - Mark G Kirchhof
- Division of Dermatology, Department of Medicine, University of Ottawa and The Ottawa Hospital, Ottawa, Ontario, Canada,
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12
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Pouget JG, Han B, Wu Y, Mignot E, Ollila HM, Barker J, Spain S, Dand N, Trembath R, Martin J, Mayes MD, Bossini-Castillo L, López-Isac E, Jin Y, Santorico SA, Spritz RA, Hakonarson H, Polychronakos C, Raychaudhuri S, Knight J. Cross-disorder analysis of schizophrenia and 19 immune-mediated diseases identifies shared genetic risk. Hum Mol Genet 2019; 28:3498-3513. [PMID: 31211845 PMCID: PMC6891073 DOI: 10.1093/hmg/ddz145] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 05/24/2019] [Accepted: 06/13/2019] [Indexed: 01/01/2023] Open
Abstract
Many immune diseases occur at different rates among people with schizophrenia compared to the general population. Here, we evaluated whether this phenomenon might be explained by shared genetic risk factors. We used data from large genome-wide association studies to compare the genetic architecture of schizophrenia to 19 immune diseases. First, we evaluated the association with schizophrenia of 581 variants previously reported to be associated with immune diseases at genome-wide significance. We identified five variants with potentially pleiotropic effects. While colocalization analyses were inconclusive, functional characterization of these variants provided the strongest evidence for a model in which genetic variation at rs1734907 modulates risk of schizophrenia and Crohn's disease via altered methylation and expression of EPHB4-a gene whose protein product guides the migration of neuronal axons in the brain and the migration of lymphocytes towards infected cells in the immune system. Next, we investigated genome-wide sharing of common variants between schizophrenia and immune diseases using cross-trait LD score regression. Of the 11 immune diseases with available genome-wide summary statistics, we observed genetic correlation between six immune diseases and schizophrenia: inflammatory bowel disease (rg = 0.12 ± 0.03, P = 2.49 × 10-4), Crohn's disease (rg = 0.097 ± 0.06, P = 3.27 × 10-3), ulcerative colitis (rg = 0.11 ± 0.04, P = 4.05 × 10-3), primary biliary cirrhosis (rg = 0.13 ± 0.05, P = 3.98 × 10-3), psoriasis (rg = 0.18 ± 0.07, P = 7.78 × 10-3) and systemic lupus erythematosus (rg = 0.13 ± 0.05, P = 3.76 × 10-3). With the exception of ulcerative colitis, the degree and direction of these genetic correlations were consistent with the expected phenotypic correlation based on epidemiological data. Our findings suggest shared genetic risk factors contribute to the epidemiological association of certain immune diseases and schizophrenia.
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Affiliation(s)
- Jennie G Pouget
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, ON M5T 1R8, Canada
- Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON M5S 1A8, Canada
| | | | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yang Wu
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Emmanuel Mignot
- Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Sciences, Stanford University, School of Medicine, Palo Alto, CA, USA
| | - Hanna M Ollila
- Center for Sleep Sciences and Medicine, Department of Psychiatry and Behavioral Sciences, Stanford University, School of Medicine, Palo Alto, CA, USA
- Finnish Institute for Molecular Medicine, Helsinki, Finland
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA and Broad Institute, Cambridge, MA, USA
| | - Jonathan Barker
- School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK
- St. John’s Institute of Dermatology, Faculty of Life Sciences and Medicine, King’s College London, London, UK
| | - Sarah Spain
- School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Nick Dand
- School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK
| | - Richard Trembath
- School of Basic and Medical Biosciences, Faculty of Life Sciences and Medicine, King’s College London, London, UK
- Queen Mary University of London, Barts and the London School of Medicine and Dentistry, London, UK
| | - Javier Martin
- Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Maureen D Mayes
- The University of Texas Health Science Center–Houston, Houston, USA
| | - Lara Bossini-Castillo
- Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, UK
| | - Elena López-Isac
- Institute of Parasitology and Biomedicine López-Neyra, Consejo Superior de Investigaciones Científicas (IPBLN-CSIC), Granada, Spain
| | - Ying Jin
- Human Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora 80045, CO, USA
| | - Stephanie A Santorico
- Human Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, USA
- Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, CO, USA
| | - Richard A Spritz
- Human Medical Genetics and Genomics Program, University of Colorado School of Medicine, Aurora, CO, USA
- Department of Pediatrics, University of Colorado School of Medicine, Aurora 80045, CO, USA
| | - Hakon Hakonarson
- Center for Applied Genomics, Division of Human Genetics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Constantin Polychronakos
- Endocrine Genetics Laboratory, Department of Pediatrics and the Child Health Program of the Research Institute, McGill University Health Centre, Montreal, QC, Canada
| | - Soumya Raychaudhuri
- Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Partners HealthCare Center for Personalized Genetic Medicine, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Division of Genetics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Rheumatology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Faculty of Medical and Human Sciences, University of Manchester, Manchester, UK
| | - Jo Knight
- Lancaster Medical School and Data Science Institute, Lancaster University, Lancaster, UK
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13
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Firth J, Siddiqi N, Koyanagi A, Siskind D, Rosenbaum S, Galletly C, Allan S, Caneo C, Carney R, Carvalho AF, Chatterton ML, Correll CU, Curtis J, Gaughran F, Heald A, Hoare E, Jackson SE, Kisely S, Lovell K, Maj M, McGorry PD, Mihalopoulos C, Myles H, O'Donoghue B, Pillinger T, Sarris J, Schuch FB, Shiers D, Smith L, Solmi M, Suetani S, Taylor J, Teasdale SB, Thornicroft G, Torous J, Usherwood T, Vancampfort D, Veronese N, Ward PB, Yung AR, Killackey E, Stubbs B. The Lancet Psychiatry Commission: a blueprint for protecting physical health in people with mental illness. Lancet Psychiatry 2019; 6:675-712. [PMID: 31324560 DOI: 10.1016/s2215-0366(19)30132-4] [Citation(s) in RCA: 718] [Impact Index Per Article: 143.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 04/01/2019] [Indexed: 12/20/2022]
Affiliation(s)
- Joseph Firth
- NICM Health Research Institute, Western Sydney University, Westmead, NSW, Australia; Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia.
| | - Najma Siddiqi
- Department of Health Sciences, University of York, Hull York Medical School, Bradford, UK; Bradford District Care NHS Foundation Trust, Bradford, UK
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Barcelona, Spain; Instituto de Salud Carlos III, Centro de Investigación Biomédica en Red de Salud Mental, Madrid, Spain; Institució Catalana de Recerca i Estudis Avançats, Barcelona, Spain
| | - Dan Siskind
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia; School of Medicine, University of Queensland, Brisbane, QLD, Australia
| | - Simon Rosenbaum
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Cherrie Galletly
- Ramsay Health Care Mental Health, Adelaide, SA, Australia; Northern Adelaide Local Health Network, Adelaide, SA, Australia; Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - Stephanie Allan
- Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Constanza Caneo
- Departamento de Psiquiatría, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Rebekah Carney
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Youth Mental Health Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Andre F Carvalho
- Centre for Addiction and Mental Health, Toronto, ON, Canada; Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Mary Lou Chatterton
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Melbourne, VIC, Australia
| | - Christoph U Correll
- Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Department of Psychiatry, Zucker Hillside Hospital, Glen Oaks, NY, USA; Department of Child and Adolescent Psychiatry, Charité Universitätsmedizin, Berlin, Germany
| | - Jackie Curtis
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia; Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, NSW, Australia
| | - Fiona Gaughran
- South London and Maudsley NHS Foundation Trust, London, UK; Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - Adrian Heald
- Division of Diabetes, Endocrinology and Gastroenterology, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Manchester Academic Health Science Centre, University of Manchester, Manchester, UK; Department of Diabetes and Endocrinology, Salford Royal Hospital, Salford, UK
| | - Erin Hoare
- Food and Mood Centre, Deakin University, Melbourne, VIC, Australia
| | - Sarah E Jackson
- Department of Behavioural Science and Health, University College London, London, UK
| | - Steve Kisely
- School of Medicine, University of Queensland, Brisbane, QLD, Australia; Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | - Karina Lovell
- Division of Nursing, Midwifery and Social Work, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Mario Maj
- Department of Psychiatry, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Patrick D McGorry
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Cathrine Mihalopoulos
- Deakin Health Economics, Institute for Health Transformation, Faculty of Health, Deakin University, Melbourne, VIC, Australia
| | - Hannah Myles
- Discipline of Psychiatry, University of Adelaide, Adelaide, SA, Australia
| | - Brian O'Donoghue
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Toby Pillinger
- South London and Maudsley NHS Foundation Trust, London, UK; Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK; Medical Research Council London Institute of Medical Sciences, London, UK; Institute of Clinical Sciences, Faculty of Medicine, Imperial College London, London, UK
| | - Jerome Sarris
- NICM Health Research Institute, Western Sydney University, Westmead, NSW, Australia; Department of Psychiatry, University of Melbourne, Melbourne, VIC, Australia; The Melbourne Clinic, Melbourne, VIC, Australia
| | - Felipe B Schuch
- Department of Sports Methods and Techniques, Federal University of Santa Maria, Santa Maria, Brazil
| | - David Shiers
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Psychosis Research Unit, Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
| | - Lee Smith
- Cambridge Centre for Sport and Exercise Sciences, Anglia Ruskin University, Cambridge, UK
| | - Marco Solmi
- Neurosciences Department and Padua Neuroscience Centre, University of Padua, Padua, Italy
| | - Shuichi Suetani
- Metro South Addiction and Mental Health Service, Brisbane, QLD, Australia; Queensland Brain Institute, University of Queensland, Brisbane, QLD, Australia; Queensland Centre for Mental Health Research, The Park Centre for Mental Health, Wacol, QLD, Australia
| | - Johanna Taylor
- Department of Health Sciences, University of York, Hull York Medical School, Bradford, UK
| | - Scott B Teasdale
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia; Keeping the Body in Mind Program, South Eastern Sydney Local Health District, Sydney, NSW, Australia
| | - Graham Thornicroft
- Centre for Global Mental Health, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Tim Usherwood
- The George Institute for Global Health, University of New South Wales, Sydney, NSW, Australia; Department of General Practice, Westmead Clinical School, University of Sydney, Westmead, NSW, Australia
| | - Davy Vancampfort
- Department of Rehabilitation Sciences, Katholieke Universiteit Leuven, Leuven, Belgium; University Psychiatric Centre, Katholieke Universiteit Leuven, Kortenberg, Belgium
| | - Nicola Veronese
- National Research Council, Neuroscience Institute, Aging Branch, Padova, Italy
| | - Philip B Ward
- School of Psychiatry, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia; Schizophrenia Research Unit, Ingham Institute of Applied Medical Research, Liverpool, NSW, Australia
| | - Alison R Yung
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK; Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Eoin Killackey
- Centre for Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia; Orygen, The National Centre of Excellence in Youth Mental Health, University of Melbourne, Melbourne, VIC, Australia
| | - Brendon Stubbs
- South London and Maudsley NHS Foundation Trust, London, UK; Psychosis Studies, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
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14
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Jones HJ, Hubbard L, Mitchell RE, Jones SA, Williams NM, Zammit S, Hall J. Association of Genetic Risk for Rheumatoid Arthritis With Cognitive and Psychiatric Phenotypes Across Childhood and Adolescence. JAMA Netw Open 2019; 2:e196118. [PMID: 31225891 PMCID: PMC6593640 DOI: 10.1001/jamanetworkopen.2019.6118] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 05/06/2019] [Indexed: 12/17/2022] Open
Abstract
Importance The association of rheumatoid arthritis (RA) with cognitive and psychiatric phenotypes has been recognized. However, it is not known whether these phenotypes are a consequence of disease-related factors, such as pain, or reflect shared etiological factors. Objective To investigate whether genomic risk for RA is associated with cognitive and psychiatric symptoms in children and adolescents. Design, Setting, and Participants This cohort study analyzed data from 3296 to 5936 adolescents (depending on outcome) from the Avon Longitudinal Study of Parents and Children. Clinical and questionnaire data were collected periodically from September 6, 1990, with collection ongoing, and analyzed from August 21, 2017, to May 21, 2018. Exposures Polygenic risk scores (PRSs) for RA. Main Outcomes and Measures Measures of cognition (including IQ, working memory, verbal learning, processing speed, problem solving, selective attention, and attentional control) and psychopathology (including anxiety, depression, negative symptoms, psychotic experiences, attention-deficit/hyperactivity disorder, and hyperactive and inattentive symptoms) in childhood and adolescence. Results Polygenic risk scores for RA were generated for 7977 children and adolescents (3885 [48.7%] female). Of these 7977 participants, 9 (0.11%) had a known diagnosis of RA at age 22 years. Increased PRS for RA was associated with lower total IQ (β, -0.05; 95% CI, -0.07 to -0.02; P < .001), performance IQ (β, -0.03; 95% CI, -0.06 to -0.005; P = .02), and verbal IQ (β, -0.05; 95% CI, -0.08 to -0.02; P < .001) at age 8 years (mean [SD] age at measurement, 8.6 [0.3] years) and symptoms of hyperactivity and inattention from ages 4 to 16 years, with the strongest evidence of association at age 13 years (mean [SD] age at assessment, 13.2 [0.2] years). The odds ratio at this age per SD increase in PRS was 1.25 (95% CI, 1.12-1.39) (P < .001). There was little evidence of association between the RA PRS and other measures of cognition and psychopathology. Gene-based analyses indicated that polygenic signal for RA was enriched for immune pathways (q ≤ 0.05). No equivalent associations were seen for polygenic risk associated with inflammatory bowel disease or multiple sclerosis. Conclusions and Relevance These findings support an association between genetic risk for RA and neural phenotypes, suggesting that cognitive impairment in RA is not simply secondary to disease-related processes or treatment effects. These results may suggest that genetic susceptibility for RA might affect psychological well-being in early life and reinforce the emerging link between mental health and the immune system.
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Affiliation(s)
- Hannah J. Jones
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, United Kingdom
| | - Leon Hubbard
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Ruth E. Mitchell
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
| | - Simon A. Jones
- Division of Infection and Immunity, School of Medicine, Systems Immunity University Research Institute, College of Biomedical and Life Sciences, Cardiff University, Cardiff, United Kingdom
- The Hodge Centre for Neuropsychiatric Immunology, Cardiff University, Cardiff, United Kingdom
| | - Nigel M. Williams
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Stanley Zammit
- Centre for Academic Mental Health, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
- National Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol NHS Foundation Trust, University of Bristol, Bristol, United Kingdom
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
| | - Jeremy Hall
- Division of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, Cardiff, United Kingdom
- The Hodge Centre for Neuropsychiatric Immunology, Cardiff University, Cardiff, United Kingdom
- Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, United Kingdom
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15
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Assessing whether the association between rheumatoid arthritis and schizophrenia is bidirectional: A nationwide population-based cohort study. Sci Rep 2019; 9:4493. [PMID: 30872593 PMCID: PMC6418125 DOI: 10.1038/s41598-018-38149-3] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Accepted: 12/18/2018] [Indexed: 11/30/2022] Open
Abstract
Since many studies have shown a reduction in the incidence of rheumatoid arthritis (RA) in patients with schizophrenia (SCZ), little effort has been devoted to studying this link in the Asian population. Moreover, the relationship between these two disorders could be bidirectional, but the influence of RA on the SCZ incidence is unclear. The study aims to determine whether there is a bidirectional association between RA and SCZ in an Asian population. We analyzed a 10-year population- based longitudinal cohort using the National Health Insurance Research Database of Taiwan. In the first analysis, we included a total of 58,847 SCZ patients and 235,382 non-SCZ controls, and in the second analysis, a total of 30,487 RA patients and 121,833 non-RA controls, both matched by gender, age, and index date. Cox regression analyses were performed to examine the risk of RA incidence in the first analysis and the risk of SCZ incidence in the second analysis. The main finding of this study was the discovery of a lower incidence of RA in patients with SCZ (hazard ratio (HR): 0.48, 95% confidence interval (95% CI): 0.31–0.77) after adjustment for baseline demographics and comorbidities. Additionally, the presence of RA predicted a reduced incidence rate for SCZ, but the estimate was not statistically significant (HR: 0.77, 95% CI: 0.44–1.37). The study found a unidirectional association between RA and SCZ. However, RA has an age of onset later than RA, and the protective effect of RA on SCZ incidence would be biased due to the limited number of cases.
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16
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Cullen AE, Holmes S, Pollak TA, Blackman G, Joyce DW, Kempton MJ, Murray RM, McGuire P, Mondelli V. Associations Between Non-neurological Autoimmune Disorders and Psychosis: A Meta-analysis. Biol Psychiatry 2019; 85:35-48. [PMID: 30122288 PMCID: PMC6269125 DOI: 10.1016/j.biopsych.2018.06.016] [Citation(s) in RCA: 90] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 05/30/2018] [Accepted: 06/14/2018] [Indexed: 12/01/2022]
Abstract
BACKGROUND A relationship between non-neurological autoimmune (NNAI) disorders and psychosis has been widely reported but not yet subjected to meta-analysis. We conducted the first meta-analysis examining the association between NNAI disorders and psychosis and investigated the effect of 1) temporality (as determined by study design), 2) psychiatric diagnosis, and 3) specific autoimmune disorders. METHODS Major databases were searched for articles published until April 2018; 31 studies, comprising data for >25 million individuals, were eligible. Using random-effects models, we examined the overall association between all NNAI disorders and psychosis; rheumatoid arthritis was examined separately given the well-established negative association with psychosis. Stratified analyses investigated the effect of temporality, psychiatric diagnosis, and specific NNAI disorders. RESULTS We observed a positive overall association between NNAI disorders and psychosis (odds ratio [OR] = 1.26; 95% confidence interval [CI], 1.12-1.41) that was consistent across study designs and psychiatric diagnoses; however, considerable heterogeneity was detected (I2 = 88.08). Patterns varied across individual NNAI disorders; associations were positive for pernicious anemia (OR = 1.91; 95% CI, 1.29-2.84), pemphigoid (OR = 1.90; 95% CI, 1.62-2.24), psoriasis (OR = 1.70; 95% CI, 1.51-1.91), celiac disease (OR = 1.53; 95% CI, 1.12-2.10), and Graves' disease (OR = 1.33; 95% CI, 1.03-1.72) and negative for ankylosing spondylitis (OR = 0.72; 95% CI, 0.54-0.98) and rheumatoid arthritis (OR = 0.65; 95% CI, 0.50-0.84). CONCLUSIONS While we observed a positive overall association between NNAI disorders and psychosis, this was not consistent across all NNAI disorders. Specific factors, including distinct inflammatory pathways, genetic influences, autoantibodies targeting brain proteins, and exposure to corticosteroid treatment, may therefore underlie this association.
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Affiliation(s)
- Alexis E. Cullen
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,Address correspondence to Alexis E. Cullen, Ph.D., Department of Psychosis Studies (Box P067), De Crespigny Park, London SE5 8AF, United Kingdom.
| | - Scarlett Holmes
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Thomas A. Pollak
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Graham Blackman
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Dan W. Joyce
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Matthew J. Kempton
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Robin M. Murray
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Philip McGuire
- Department of Psychosis Studies, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Valeria Mondelli
- Department of Psychological Medicine, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom,National Institute for Health Research Maudsley Mental Health Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
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Abstract
Schizophrenia is a severe psychiatric disorder of complex etiology. Immune processes have long been proposed to contribute to the development of schizophrenia, and accumulating evidence supports immune involvement in at least a subset of cases. In recent years, large-scale genetic studies have provided new insights into the role of the immune system in this disease. Here, we provide an overview of the immunogenetic architecture of schizophrenia based on findings from genome-wide association studies (GWAS). First, we review individual immune loci identified in secondary analyses of GWAS, which implicate over 30 genes expressed in both immune and brain cells. The function of the proteins encoded by these immune candidates highlight the role of the complement system, along with regulation of apoptosis in both immune and neuronal cells. Next, we review hypothesis-free pathway analyses which have so far been inconclusive with respect to identifying immune pathways involved in schizophrenia. Finally, we explore the genetic overlap between schizophrenia and immune-mediated diseases. Although there have been some inconsistencies across studies, genome-wide pleiotropy has been reported between schizophrenia and Crohn's disease, multiple sclerosis, rheumatoid arthritis, systemic lupus erythematosus, type 1 diabetes, and ulcerative colitis. Overall, there are multiple lines of evidence supporting the role of immune genes in schizophrenia. Current evidence suggests that specific immune pathways are involved-likely those with dual functions in the central nervous system. Future studies focused on further elucidating the relevant pathways hold the potential to identify novel biomarkers and therapeutic targets for schizophrenia.
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Affiliation(s)
- Jennie G Pouget
- Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Canada
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18
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Mistry S, Harrison JR, Smith DJ, Escott-Price V, Zammit S. The use of polygenic risk scores to identify phenotypes associated with genetic risk of schizophrenia: Systematic review. Schizophr Res 2018; 197:2-8. [PMID: 29129507 DOI: 10.1016/j.schres.2017.10.037] [Citation(s) in RCA: 80] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2017] [Revised: 10/27/2017] [Accepted: 10/28/2017] [Indexed: 12/12/2022]
Abstract
Studying the phenotypic manifestations of increased genetic liability for schizophrenia can increase our understanding of this disorder. Specifically, information from alleles identified in genome-wide association studies can be collapsed into a polygenic risk score (PRS) to explore how genetic risk is manifest within different samples. In this systematic review, we provide a comprehensive assessment of studies examining associations between schizophrenia PRS (SZ-PRS) and several phenotypic measures. We searched EMBASE, Medline and PsycINFO (from August 2009-14th March 2016) plus references of included studies, following PRISMA guidelines. Study inclusion was based on predetermined criteria and data were extracted independently and in duplicate. Overall, SZ-PRS was associated with increased risk for psychiatric disorders such as depression and bipolar disorder, lower performance IQ and negative symptoms. SZ-PRS explained up to 6% of genetic variation in psychiatric phenotypes, compared to <0.7% in measures of cognition. Future gains from using the PRS approach may be greater if used for examining phenotypes that are more closely related to biological substrates, for scores based on gene-pathways, and where PRSs are used to stratify individuals for study of treatment response. As it was difficult to interpret findings across studies due to insufficient information provided by many studies, we propose a framework to guide robust reporting of PRS associations in the future.
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Affiliation(s)
- Sumit Mistry
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK.
| | - Judith R Harrison
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Daniel J Smith
- Institute of Health and Wellbeing, 1 Lilybank Gardens, University of Glasgow, UK
| | - Valentina Escott-Price
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK
| | - Stanley Zammit
- Institute of Psychological Medicine and Clinical Neurosciences, MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff University, UK; Centre for Academic Mental Health, School of Social and Community Medicine, University of Bristol, UK
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19
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Bogdan R, Baranger DAA, Agrawal A. Polygenic Risk Scores in Clinical Psychology: Bridging Genomic Risk to Individual Differences. Annu Rev Clin Psychol 2018; 14:119-157. [PMID: 29579395 PMCID: PMC7772939 DOI: 10.1146/annurev-clinpsy-050817-084847] [Citation(s) in RCA: 90] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Genomewide association studies (GWASs) across psychiatric phenotypes have shown that common genetic variants generally confer risk with small effect sizes (odds ratio < 1.1) that additively contribute to polygenic risk. Summary statistics derived from large discovery GWASs can be used to generate polygenic risk scores (PRS) in independent, target data sets to examine correlates of polygenic disorder liability (e.g., does genetic liability to schizophrenia predict cognition?). The intuitive appeal and generalizability of PRS have led to their widespread use and new insights into mechanisms of polygenic liability. However, when currently applied across traits they account for small amounts of variance (<3%), are relatively uninformative for clinical treatment, and, in isolation, provide no insight into molecular mechanisms. Larger GWASs are needed to increase the precision of PRS, and novel approaches integrating various data sources (e.g., multitrait analysis of GWASs) may improve the utility of current PRS.
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Affiliation(s)
- Ryan Bogdan
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - David A A Baranger
- BRAINLab, Department of Psychological and Brain Sciences, and Division of Biology and Biomedical Sciences, Washington University in St. Louis, St. Louis, Missouri 63110, USA;
| | - Arpana Agrawal
- Department of Psychiatry, Washington University in St. Louis School of Medicine, St. Louis, Missouri 63110, USA
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20
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Ungprasert P, Wijarnpreecha K, Cheungpasitporn W. Patients with schizophrenia have a higher risk of psoriasis: A systematic review and meta-analysis. Psychiatry Res 2018; 259:422-426. [PMID: 29128620 DOI: 10.1016/j.psychres.2017.11.021] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 07/24/2017] [Accepted: 11/04/2017] [Indexed: 01/11/2023]
Abstract
Recent studies have suggested an increased risk of psoriasis among patients with schizophrenia although the results are still inconclusive. This systematic review and meta-analysis of cohort and case-control studies that compared the risk psoriasis among patients with schizophrenia versus subjects without schizophrenia was conducted to better characterize the risk. Pooled relative risks and 95% confidence intervals from the included studies were calculated using a random-effect, generic inverse variance method of DerSimonian and Laird. After a comprehensive literature review, 2 retrospective cohort studies and 4 case-control studies with approximately 6.1 million participants were identified. The meta-analysis found that the risk of psoriasis among patients with schizophrenia was significantly higher than non-schizophrenia subjects. Subgroup analysis by study design revealed a significantly higher risk in both cohort study and case-control study subgroup.
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Affiliation(s)
- Patompong Ungprasert
- Mayo Clinic, Rochester, MN, USA; Clinical Epidemiology Unit, Department of Research and Development, Faculty of Medicine Siriraj hospital, Mahidol University, Bangkok, Thailand.
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21
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Cossu G, Carta MG, Contu F, Mela Q, Demelia L, Elli L, Dell'Osso B. Coeliac disease and psychiatric comorbidity: epidemiology, pathophysiological mechanisms, quality-of-life, and gluten-free diet effects. Int Rev Psychiatry 2017; 29:489-503. [PMID: 28681625 DOI: 10.1080/09540261.2017.1314952] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Coeliac Disease (CD) is an autoimmune disease in which an environmental factor, gluten, triggers a pathological reaction. It results in intra- and entra-intestinal manifestations of disease, including, most frequently, diarrhoea, weight loss, and anaemia. CD occurs in ∼1% of the western population, being one of the most common autoimmune lifelong disorders, and may present with a variety of psychiatric comorbidities. Psychiatric comorbidity in CD often complicates the diagnosis, reduces the quality-of-life, and worsens the prognosis of affected patients. This review summarizes the epidemiological studies that underline this connection, and focuses on the potential mechanisms related to this comorbility, such as nutritional deficiencies, immune responses, interference in brain processes, and dysfunctions in the gut-brain axis. Factors that play a central role on patients' quality of life, psychological well-being and adherence are presented. Finally, evidence of regression in psychiatric symptoms following the introduction of a gluten-free diet is underlined as well.
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Affiliation(s)
- Giulia Cossu
- a Department of Medical Science and Public Health , University of Cagliari , Cagliari , Italy
| | - Mauro Giovanni Carta
- a Department of Medical Science and Public Health , University of Cagliari , Cagliari , Italy
| | - Federico Contu
- a Department of Medical Science and Public Health , University of Cagliari , Cagliari , Italy
| | - Quirico Mela
- a Department of Medical Science and Public Health , University of Cagliari , Cagliari , Italy
| | - Luigi Demelia
- a Department of Medical Science and Public Health , University of Cagliari , Cagliari , Italy
| | - Luca Elli
- b Center for the Prevention and Diagnosis of Celiac Disease, Gastroenterology and Endoscopy Unit , Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico , Milan , Italy
| | - Bernardo Dell'Osso
- c Department of Pathophysiology and Transplantation , University of Milan, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico , Milan , Italy.,d Department of Psychiatry and Behavioral Sciences , Bipolar Disorders Clinic, Stanford University , CA , USA
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22
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Stubbs B, Veronese N, Vancampfort D, Thompson T, Kohler C, Schofield P, Solmi M, Mugisha J, Kahl KG, Pillinger T, Carvalho AF, Koyanagi A. Lifetime self-reported arthritis is associated with elevated levels of mental health burden: A multi-national cross sectional study across 46 low- and middle-income countries. Sci Rep 2017; 7:7138. [PMID: 28769081 PMCID: PMC5541038 DOI: 10.1038/s41598-017-07688-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 07/12/2017] [Indexed: 12/11/2022] Open
Abstract
Population-based studies investigating the relationship of arthritis with mental health outcomes are lacking, particularly among low- and middle-income countries (LMICs). We investigated the relationship between arthritis and mental health (depression spectrum, psychosis spectrum, anxiety, sleep disturbances and stress) across community-dwelling adults aged ≥18 years across 46 countries from the World Health Survey. Symptoms of psychosis and depression were established using questions from the Mental Health Composite International Diagnostic Interview. Severity of anxiety, sleep problems, and stress sensitivity over the preceding 30 days were self-reported. Self-report lifetime history of arthritis was collected, including presence or absence of symptoms suggestive of arthritis: pain, stiffness or swelling of joints over the preceding 12-months. Multivariable logistic regression analyses were undertaken. Overall, 245,706 individuals were included. Having arthritis increased the odds of subclinical psychosis (OR = 1.85; 95%CI = 1.72–1.99) and psychosis (OR = 2.48; 95%CI = 2.05–3.01). People with arthritis were at increased odds of subsyndromal depression (OR = 1.92; 95%CI = 1.64–2.26), a brief depressive episode (OR = 2.14; 95%CI = 1.88–2.43) or depressive episode (OR = 2.43; 95%CI = 2.21–2.67). Arthritis was also associated with increased odds for anxiety (OR = 1.75; 95%CI = 1.63–1.88), sleep problems (OR = 2.23; 95%CI = 2.05–2.43) and perceived stress (OR = 1.43; 95%CI = 1.33–1.53). Results were similar for middle-income and low-income countries. Integrated interventions addressing arthritis and mental health comorbidities are warranted to tackle this considerable burden.
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Affiliation(s)
- Brendon Stubbs
- South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, United Kingdom. .,Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, Box SE5 8AF, United Kingdom. .,Institute of clinical Research and Education in Medicine (IREM), Padova, Italy. .,Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, United Kingdom.
| | - Nicola Veronese
- National Research Council, Neuroscience Institute, Aging Branch, Padova, Italy.,Institute of clinical Research and Education in Medicine (IREM), Padova, Italy
| | - Davy Vancampfort
- KU Leuven Department of Rehabilitation Sciences, Leuven, Belgium.,KU Leuven, University Psychiatric Center KU Leuven, Leuven-Kortenberg, Belgium
| | - Trevor Thompson
- Faculty of Education and Health, University of Greenwich, London, United Kingdom
| | - Cristiano Kohler
- Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, CE, Brazil
| | - Patricia Schofield
- Faculty of Health, Social Care and Education, Anglia Ruskin University, Chelmsford, United Kingdom
| | - Marco Solmi
- KU Leuven, University Psychiatric Center KU Leuven, Leuven-Kortenberg, Belgium.,Department of Neurosciences, University of Padova, Padova, Italy
| | - James Mugisha
- Kyambogo University, Kampala, Uganda.,Butabika National Referral and Mental Health Hospital, Kampala, Uganda
| | - Kai G Kahl
- Department of Psychiatry, Social Psychiatry and Psychotherapy, Hannover Medical School, Hannover Medical School, Hannover, Germany
| | - Toby Pillinger
- South London and Maudsley NHS Foundation Trust, Denmark Hill, London, SE5 8AZ, United Kingdom.,Institute of Psychiatry, Psychology and Neuroscience, King's College London, De Crespigny Park, London, Box SE5 8AF, United Kingdom
| | - Andre F Carvalho
- Department of Clinical Medicine and Translational Psychiatry Research Group, Faculty of Medicine, Federal University of Ceará, Fortaleza, Brazil
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, Universitat de Barcelona, Fundació Sant Joan de Déu, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, Barcelona, 08830, Spain.,Instituto de Salud Carlos III, Centro de InvestigaciónBiomédicaenRed de Salud Mental, CIBERSAM, Monforte de Lemos 3-5 Pabellón 11, Madrid, 28029, Spain
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23
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Malavia TA, Chaparala S, Wood J, Chowdari K, Prasad KM, McClain L, Jegga AG, Ganapathiraju MK, Nimgaonkar VL. Generating testable hypotheses for schizophrenia and rheumatoid arthritis pathogenesis by integrating epidemiological, genomic, and protein interaction data. NPJ SCHIZOPHRENIA 2017; 3:11. [PMID: 28560257 PMCID: PMC5441529 DOI: 10.1038/s41537-017-0010-z] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/24/2016] [Revised: 01/13/2017] [Accepted: 01/13/2017] [Indexed: 02/04/2023]
Abstract
Patients with schizophrenia and their relatives have reduced prevalence of rheumatoid arthritis. Schizophrenia and rheumatoid arthritis genome-wide association studies also indicate negative genetic correlations, suggesting that there may be shared pathogenesis at the DNA level or downstream. A portion of the inverse prevalence could be attributed to pleiotropy, i.e., variants of a single nucleotide polymorphism that could confer differential risk for these disorders. To study the basis for such an interrelationship, we initially compared lists of single nucleotide polymorphisms with significant genetic associations (p < 1e-8) for schizophrenia or rheumatoid arthritis, evaluating patterns of linkage disequilibrium and apparent pleiotropic risk profiles. Single nucleotide polymorphisms that conferred risk for both schizophrenia and rheumatoid arthritis were localized solely to the extended HLA region. Among single nucleotide polymorphisms that conferred differential risk for schizophrenia and rheumatoid arthritis, the majority were localized to HLA-B, TNXB, NOTCH4, HLA-C, HCP5, MICB, PSORS1C1, and C6orf10; published functional data indicate that HLA-B and HLA-C have the most plausible pathogenic roles in both disorders. Interactomes of these eight genes were constructed from protein-protein interaction information using publicly available databases and novel computational predictions. The genes harboring apparently pleiotropic single nucleotide polymorphisms are closely connected to rheumatoid arthritis and schizophrenia associated genes through common interacting partners. A separate and independent analysis of the interactomes of rheumatoid arthritis and schizophrenia genes showed a significant overlap between the two interactomes and that they share several common pathways, motivating functional studies suggesting a relationship in the pathogenesis of schizophrenia/rheumatoid arthritis.
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Affiliation(s)
- Tulsi A. Malavia
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - Srilakshmi Chaparala
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA USA
| | - Joel Wood
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | | | | | - Lora McClain
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
| | - Anil G. Jegga
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH USA
| | - Madhavi K. Ganapathiraju
- Department of Biomedical Informatics, School of Medicine, University of Pittsburgh, Pittsburgh, PA USA
| | - Vishwajit L. Nimgaonkar
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, USA
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, USA
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24
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Hoeffding LK, Rosengren A, Thygesen JH, Schmock H, Werge T, Hansen T. Evaluation of shared genetic susceptibility loci between autoimmune diseases and schizophrenia based on genome-wide association studies. Nord J Psychiatry 2017; 71:20-25. [PMID: 27348781 DOI: 10.1080/08039488.2016.1198420] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
BACKGROUND Epidemiological studies have documented higher than expected comorbidity (or, in some cases, inverse comorbidity) between schizophrenia and several autoimmune disorders. It remains unknown whether this comorbidity reflects shared genetic susceptibility loci. AIMS The present study aimed to investigate whether verified genome wide significant variants of autoimmune disorders confer risk of schizophrenia, which could suggest a common genetic basis. METHODS Seven hundred and fourteen genome wide significant risk variants of 25 autoimmune disorders were extracted from the NHGRI GWAS catalogue and examined for association to schizophrenia in the Psychiatric Genomics Consortium schizophrenia GWAS samples (36,989 cases and 113,075 controls). RESULTS Two independent loci at 4q24 and 6p21.32-33 originally identified from GWAS of autoimmune diseases were found genome wide associated with schizophrenia (1.7 × 10-8 ≥ p ≥ 4.0 × 10-21). While these observations confirm the existence of shared genetic susceptibility loci between schizophrenia and autoimmune diseases, the findings did not show a significant enrichment. CONCLUSION The findings do not support a genetic overlap in common SNPs between autoimmune diseases and schizophrenia that in part could explain the observed comorbidity from epidemiological studies.
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Affiliation(s)
- Louise K Hoeffding
- a Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen , Denmark.,b iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research , Denmark
| | - Anders Rosengren
- a Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen , Denmark.,b iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research , Denmark
| | - Johan H Thygesen
- a Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen , Denmark
| | - Henriette Schmock
- a Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen , Denmark.,b iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research , Denmark
| | - Thomas Werge
- a Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen , Denmark.,b iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research , Denmark.,c Department of Clinical Medicine , University of Copenhagen , Denmark
| | - Thomas Hansen
- a Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen , Denmark.,b iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research , Denmark
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25
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Lee SH, Byrne EM, Hultman CM, Kähler A, Vinkhuyzen AAE, Ripke S, Andreassen OA, Frisell T, Gusev A, Hu X, Karlsson R, Mantzioris VX, McGrath JJ, Mehta D, Stahl EA, Zhao Q, Kendler KS, Sullivan PF, Price AL, O'Donovan M, Okada Y, Mowry BJ, Raychaudhuri S, Wray NR, Byerley W, Cahn W, Cantor RM, Cichon S, Cormican P, Curtis D, Djurovic S, Escott-Price V, Gejman PV, Georgieva L, Giegling I, Hansen TF, Ingason A, Kim Y, Konte B, Lee PH, McIntosh A, McQuillin A, Morris DW, Nöthen MM, O'Dushlaine C, Olincy A, Olsen L, Pato CN, Pato MT, Pickard BS, Posthuma D, Rasmussen HB, Rietschel M, Rujescu D, Schulze TG, Silverman JM, Thirumalai S, Werge T, Agartz I, Amin F, Azevedo MH, Bass N, Black DW, Blackwood DHR, Bruggeman R, Buccola NG, Choudhury K, Cloninger RC, Corvin A, Craddock N, Daly MJ, Datta S, Donohoe GJ, Duan J, Dudbridge F, Fanous A, Freedman R, Freimer NB, Friedl M, Gill M, Gurling H, De Haan L, Hamshere ML, Hartmann AM, Holmans PA, Kahn RS, Keller MC, Kenny E, Kirov GK, Krabbendam L, Krasucki R, Lawrence J, Lencz T, Levinson DF, Lieberman JA, Lin DY, Linszen DH, Magnusson PKE, Maier W, Malhotra AK, Mattheisen M, Mattingsdal M, McCarroll SA, Medeiros H, Melle I, Milanova V, Myin-Germeys I, Neale BM, Ophoff RA, Owen MJ, Pimm J, Purcell SM, Puri V, Quested DJ, Rossin L, Ruderfer D, Sanders AR, Shi J, Sklar P, St Clair D, Stroup TS, Van Os J, Visscher PM, Wiersma D, Zammit S, Bridges SL, Choi HK, Coenen MJH, de Vries N, Dieud P, Greenberg JD, Huizinga TWJ, Padyukov L, Siminovitch KA, Tak PP, Worthington J, De Jager PL, Denny JC, Gregersen PK, Klareskog L, Mariette X, Plenge RM, van Laar M, van Riel P. New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis. Int J Epidemiol 2016; 44:1706-21. [PMID: 26286434 DOI: 10.1093/ije/dyv136] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
BACKGROUND A long-standing epidemiological puzzle is the reduced rate of rheumatoid arthritis (RA) in those with schizophrenia (SZ) and vice versa. Traditional epidemiological approaches to determine if this negative association is underpinned by genetic factors would test for reduced rates of one disorder in relatives of the other, but sufficiently powered data sets are difficult to achieve. The genomics era presents an alternative paradigm for investigating the genetic relationship between two uncommon disorders. METHODS We use genome-wide common single nucleotide polymorphism (SNP) data from independently collected SZ and RA case-control cohorts to estimate the SNP correlation between the disorders. We test a genotype X environment (GxE) hypothesis for SZ with environment defined as winter- vs summer-born. RESULTS We estimate a small but significant negative SNP-genetic correlation between SZ and RA (-0.046, s.e. 0.026, P = 0.036). The negative correlation was stronger for the SNP set attributed to coding or regulatory regions (-0.174, s.e. 0.071, P = 0.0075). Our analyses led us to hypothesize a gene-environment interaction for SZ in the form of immune challenge. We used month of birth as a proxy for environmental immune challenge and estimated the genetic correlation between winter-born and non-winter born SZ to be significantly less than 1 for coding/regulatory region SNPs (0.56, s.e. 0.14, P = 0.00090). CONCLUSIONS Our results are consistent with epidemiological observations of a negative relationship between SZ and RA reflecting, at least in part, genetic factors. Results of the month of birth analysis are consistent with pleiotropic effects of genetic variants dependent on environmental context.
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26
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Ohi K, Kikuchi M, Ikeda M, Yamamori H, Yasuda Y, Fujimoto M, Fujino H, Miura K, Fukunaga M, Nakaya A, Iwata N, Hashimoto R. Polygenetic components for schizophrenia, bipolar disorder and rheumatoid arthritis predict risk of schizophrenia. Schizophr Res 2016; 175:226-229. [PMID: 27094717 DOI: 10.1016/j.schres.2016.04.009] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2016] [Revised: 04/01/2016] [Accepted: 04/09/2016] [Indexed: 11/29/2022]
Affiliation(s)
- Kazutaka Ohi
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan; Department of Neuropsychiatry, Kanazawa Medical University, Ishikawa, Japan
| | - Masataka Kikuchi
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Masashi Ikeda
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Hidenaga Yamamori
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Yuka Yasuda
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Michiko Fujimoto
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Haruo Fujino
- Graduate School of Human Sciences, Osaka University, Osaka, Japan
| | - Kenichiro Miura
- Department of Integrative Brain Science, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masaki Fukunaga
- Division of Cerebral Integration, National Institute of Physiological Sciences, Aichi, Japan
| | - Akihiro Nakaya
- Department of Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Nakao Iwata
- Department of Psychiatry, Fujita Health University School of Medicine, Aichi, Japan
| | - Ryota Hashimoto
- Department of Psychiatry, Graduate School of Medicine, Osaka University, Osaka, Japan; Molecular Research Center for Children's Mental Development, United Graduate School of Child Development, Osaka University, Osaka, Japan.
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27
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Euesden J, Breen G, Farmer A, McGuffin P, Lewis CM. The relationship between schizophrenia and rheumatoid arthritis revisited: genetic and epidemiological analyses. Am J Med Genet B Neuropsychiatr Genet 2015; 168B:81-8. [PMID: 25656077 PMCID: PMC4833173 DOI: 10.1002/ajmg.b.32282] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Revised: 10/09/2014] [Accepted: 11/13/2014] [Indexed: 11/13/2022]
Abstract
Epidemiological studies are inconsistent on the relationship between schizophrenia (SCZ) and rheumatoid arthritis (RA). Several studies have shown that SCZ has a protective effect on RA, with RA occurring less frequently in SCZ cases than would be expected by chance, whilst other studies have failed to replicate this. We sought to test the hypothesis that this effect is due to a protective effect of SCZ risk alleles on RA onset. We first reviewed the literature on the comorbidity of RA and SCZ and performed a meta-analysis. We then used polygenic risk scoring in an RA case control study in order to investigate the contribution of SCZ risk alleles to RA risk. Meta-analysis across studies over the past half-century showed that prevalence of RA in SCZ cases was significantly reduced (OR=0.48, 95% CI: 0.34-0.67, p<0.0001). The relationship between SCZ genetic risk and RA status was weak. Polygenic risk of SCZ explained a small (0.1%) and non-significant (p=0.085) proportion of variance in RA case control status. This relationship was nominally positive, with RA cases carrying more SCZ risk alleles than controls. The current findings do not support the assertion that the relationship between RA and SCZ is explained by genetic factors, which appear to have little or no effect. The protective effect of SCZ on RA may be due to environmental factors, such as an anti-inflammatory effect of anti-psychotic medication or merely due to confounding limitations in study designs.
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Affiliation(s)
- Jack Euesden
- MRC SGDP Centre Institute of PsychiatryKing's College LondonLondonUK
| | - Gerome Breen
- MRC SGDP Centre Institute of PsychiatryKing's College LondonLondonUK
| | - Anne Farmer
- MRC SGDP Centre Institute of PsychiatryKing's College LondonLondonUK
| | - Peter McGuffin
- MRC SGDP Centre Institute of PsychiatryKing's College LondonLondonUK
| | - Cathryn M Lewis
- MRC SGDP Centre Institute of PsychiatryKing's College LondonLondonUK,Department of Medical and Molecular GeneticsKing's College LondonLondonUK
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