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Söderman J, Almer S. Discerning Endoscopic Severity of Inflammatory Bowel Disease by Scoping the Peripheral Blood Transcriptome. GASTRO HEP ADVANCES 2024; 3:618-633. [PMID: 39165421 PMCID: PMC11330933 DOI: 10.1016/j.gastha.2024.02.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2023] [Accepted: 02/29/2024] [Indexed: 08/22/2024]
Abstract
Background and Aims Ulcerative colitis (UC) and Crohn's disease (CD) are chronic inflammatory bowel diseases (IBDs) with an incompletely understood etiology and pathogenesis. Identification of suitable drug targets and assessment of disease severity are crucial for optimal management. Methods Using RNA sequencing, we investigated differential gene expression in peripheral blood samples from IBD patients and non-inflamed controls, analyzed pathway enrichment, and identified genes whose expression correlated with endoscopic disease severity. Results Neutrophil degranulation emerged as the most significant pathway across all IBD sample types. Signaling by interleukins was prominent in patients with active intestinal inflammation but also enriched in CD and UC patients without intestinal inflammation. Nevertheless, genes correlated to endoscopic disease severity implicated the primary cilium in CD patients and translation and focal adhesion in UC patients. Moreover, several of these genes were located in genome-wide associated loci linked to IBD, cholesterol levels, blood cell counts, and levels of markers assessing liver and kidney function. These genes also suggested connections to intestinal epithelial barrier dysfunction, contemporary IBD drug treatment, and new actionable drug targets. A large number of genes associated with endoscopic disease severity corresponded to noncoding RNAs. Conclusion This study revealed biological pathways associated with IBD disease state and endoscopic disease severity, thus providing insights into the underlying mechanisms of IBD pathogenesis as well as identifying potential biomarkers and therapies. Peripheral blood might constitute a suitable noninvasive diagnostic sample type, in which gene expression profiles might serve as indicators of ongoing mucosal inflammation, and thus guide personalized treatment decisions.
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Affiliation(s)
- Jan Söderman
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Laboratory Medicine, Jönköping, Region Jönköping County, Sweden
| | - Sven Almer
- Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
- IBD-Unit, Division of Gastroenterology, Karolinska University Hospital, Stockholm, Sweden
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2
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Jiang Y, Zhong S, He S, Weng J, Liu L, Ye Y, Chen H. Biomarkers (mRNAs and non-coding RNAs) for the diagnosis and prognosis of rheumatoid arthritis. Front Immunol 2023; 14:1087925. [PMID: 36817438 PMCID: PMC9929281 DOI: 10.3389/fimmu.2023.1087925] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 01/09/2023] [Indexed: 02/04/2023] Open
Abstract
In recent years, diagnostic and therapeutic approaches for rheumatoid arthritis (RA) have continued to improve. However, in the advanced stages of the disease, patients are unable to achieve long-term clinical remission and often suffer from systemic multi-organ damage and severe complications. Patients with RA usually have no overt clinical manifestations in the early stages, and by the time a definitive diagnosis is made, the disease is already at an advanced stage. RA is diagnosed clinically and with laboratory tests, including the blood markers C-reactive protein (CRP) and erythrocyte sedimentation rate (ESR) and the autoantibodies rheumatoid factor (RF) and anticitrullinated protein antibodies (ACPA). However, the presence of RF and ACPA autoantibodies is associated with aggravated disease, joint damage, and increased mortality, and these autoantibodies have low specificity and sensitivity. The etiology of RA is unknown, with the pathogenesis involving multiple factors and clinical heterogeneity. The early diagnosis, subtype classification, and prognosis of RA remain challenging, and studies to develop minimally invasive or non-invasive biomarkers in the form of biofluid biopsies are becoming more common. Non-coding RNA (ncRNA) molecules are composed of long non-coding RNAs, small nucleolar RNAs, microRNAs, and circular RNAs, which play an essential role in disease onset and progression and can be used in the early diagnosis and prognosis of RA. In this review of the diagnostic and prognostic approaches to RA disease, we provide an overview of the current knowledge on the subject, focusing on recent advances in mRNA-ncRNA as diagnostic and prognostic biomarkers from the biofluid to the tissue level.
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Affiliation(s)
- Yong Jiang
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.,Graduate School, Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shuxin Zhong
- Department of Medical Biochemistry and Molecular Biology, School of Medicine, Jinan University, Guangzhou, China
| | - Shenghua He
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Juanling Weng
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Lijin Liu
- The Fourth Clinical Medical College of Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Yufeng Ye
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China
| | - Hanwei Chen
- Department of Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.,Department of Radiology, GuangzhouPanyu Health Management Center (Panyu Rehabilitation Hospital), Guangzhou, China
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Lin Q, Zhou B, Song X, Ye W, Li Q, Shi T, Cheng C, Li Y, Wei X. Genetic variant in SPAG16 is associated with the susceptibility of ACPA-positive rheumatoid arthritis possibly via regulation of MMP-3. J Orthop Surg Res 2022; 17:511. [PMID: 36434627 PMCID: PMC9701044 DOI: 10.1186/s13018-022-03405-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 11/11/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVES In two previously published genome-wide association studies, a cluster of variants of sperm-associated antigen16 (SPAG16) were reported to be associated with the radiological progression rate of ACPA-positive rheumatoid arthritis (RA) patients from North American and Southern European ancestry. In this study, we aimed to investigate whether the reported RA-risk loci in SPAG16 are associated with the disease in the Chinese population and to further validate the functional role of the susceptible locus in RA tissues. METHODS A total of 500 ACPA-positive RA patients and 1000 age-matched healthy subjects were recruited. Two SNPs of SPAG16, including rs7607479 (C/T) and rs6435818 (A/C), were genotyped, and the genotyping data were compared with chi-square test. Gene expression analysis was performed in synovial tissues obtained from 40 RA patients and 30 non-RA controls surgically treated for bone fracture. The tissue expression of SPAG16 and matrix metalloproteinase 3 (MMP-3) was compared between the two groups by the Student's t test. The relationship between serum indexes and mRNA expression of SPAG16 and MMP-3 were evaluated by Spearman's correlation analysis. RESULT For rs7607479, the frequency of genotype TT was significantly higher in RA patients than in the controls (49.0% vs. 40.4%, p = 0.002). The RA patients were found to have significantly lower frequency of allele C than the controls (30.9% vs. 36.8%, p = 0.001). As for rs6435818, there was no significant difference of genotype or allele frequency between the two groups. The mRNA expression of MMP-3 was 1.63-fold higher in the RA patients than in the controls (p < 0.001). The expression of SPAG16 was comparable between the two groups (p = 0.43). The mRNA expression of MMP-3 was 1.39-fold higher in patients with genotype TT than in the patients with genotype CC (p = 0.006). The mRNA expression level of MMP-3 was significantly correlated with serum rheumatoid factor (r = 0.498, p < 0.001) and C-reactive protein (r = 0.272, p = 0.01), weakly correlated with erythrocyte sedimentation rate (r = 0.236, p = 0.09). CONCLUSIONS We validated a common genetic risk factor in ACPA-positive patients with RA, which is associated with the tissue production of MMP-3 and disease progression. Further functional analysis into the role of rs7607479 in MMP-3 expression can shed new light on the genetic architecture of ACPA-positive RA.
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Affiliation(s)
- Qingxi Lin
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Bingxiang Zhou
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Xiaoxiao Song
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Wei Ye
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Qinglong Li
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Tong Shi
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
| | - Chen Cheng
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500 China
| | - Yetian Li
- grid.412679.f0000 0004 1771 3402Department of Orthopaedic Surgery, The First Affiliated Hospital of Anhui Medical University, Jixi Road No. 218, Hefei City, 230022 China
| | - Xing Wei
- grid.41156.370000 0001 2314 964XDepartment of Orthopedics, Affiliated Taikang Xianlin Drum Tower Hospital, Medical School of Nanjing University, LinShan Road No. 188, Nanjing City, 210008 China
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Verstappen M, van der Helm-van Mil AHM. Sustained DMARD-free remission in rheumatoid arthritis - about concepts and moving towards practice. Joint Bone Spine 2022; 89:105418. [PMID: 35636705 PMCID: PMC7615888 DOI: 10.1016/j.jbspin.2022.105418] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/10/2022] [Accepted: 05/17/2022] [Indexed: 11/25/2022]
Abstract
Sustained DMARD-free remission (SDFR) is the best possible outcome in RA. It is characterized by sustained absence of clinical arthritis, which is accompanied by resolution of symptoms and restoration of normal physical functioning. Therefore it's the best proxy for cure in RA. The mechanisms underlying SDFR-development are yet unidentified. Hypothetically, there are two possible scenarios. The first hypothesis is based on the concept of regaining immune-tolerance, which implies that RA-patients are similar at diagnosis and that disease-processes during the disease-course shift into a favorable direction, resulting in regaining a state in which arthritis is persistently absent. This could imply that SDFR is theoretically achievable for all RA-patients. The alternative hypothesis is that RA-patients who achieve SDFR are intrinsically different from those who cannot. This would imply that DMARD-cessation could be restricted to a subgroup of RA-patients. Since the 1990s, DMARD-discontinuation and SDFR have been increasingly studied as long-term-outcome in RA. In this review, we describe hitherto results of clinical, genetic, serological, histological and imaging studies and looked for arguments for the first or second hypothesis in both auto-antibody-positive and auto-antibody-negative RA. In auto-antibody-negative RA, SDFR is presumably restricted to a subgroup of patients with high serological-markers of inflammation at diagnosis and a rapid and sustained decrease in inflammation after treatment-start. Identifying these RA-patients could be helpful in realizing personalized-medicine. In auto-antibody-positive RA, only few patients achieve SDFR and no definite conclusions can be drawn, but data could suggest that SDFR-patients might be a subgroup with relatively low inflammation from disease-presentation onwards.
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Affiliation(s)
- Marloes Verstappen
- Department of Rheumatology, Leiden University Medical Centre, Leiden, The Netherlands.
| | - Annette H M van der Helm-van Mil
- Department of Rheumatology, Leiden University Medical Centre, Leiden, The Netherlands; Department of Rheumatology, Erasmus Medical Centre, Rotterdam, The Netherlands
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Fraschilla I, Amatullah H, Jeffrey KL. One genome, many cell states: epigenetic control of innate immunity. Curr Opin Immunol 2022; 75:102173. [PMID: 35405493 PMCID: PMC9081230 DOI: 10.1016/j.coi.2022.102173] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Revised: 02/23/2022] [Accepted: 02/23/2022] [Indexed: 12/15/2022]
Abstract
A hallmark of the innate immune system is its ability to rapidly initiate short-lived or sustained transcriptional programs in a cell-specific and pathogen-specific manner that is dependent on dynamic chromatin states. Much of the epigenetic landscape is set during cellular differentiation; however, pathogens and other environmental cues also induce changes in chromatin that can either promote tolerance or 'train' innate immune cells for amplified secondary responses. We review chromatin processes that enable innate immune cell differentiation and functional transcriptional responses in naive or experienced cells, in concert with signal transduction and cellular metabolic shifts. We discuss how immune chromatin mechanisms are maladapted in disease and novel therapeutic approaches for cellular reprogramming.
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Affiliation(s)
- Isabella Fraschilla
- Division of Gastroenterology and Center for the Study of Inflammatory Bowel Disease, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02115, USA; Program in Immunology, Harvard Medical School, Boston, MA 02115, USA
| | - Hajera Amatullah
- Division of Gastroenterology and Center for the Study of Inflammatory Bowel Disease, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02115, USA
| | - Kate L Jeffrey
- Division of Gastroenterology and Center for the Study of Inflammatory Bowel Disease, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Harvard Medical School, Boston, MA 02115, USA; Program in Immunology, Harvard Medical School, Boston, MA 02115, USA; Center for Microbiome Informatics and Therapeutics, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
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6
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Zhao J, Guo S, Schrodi SJ, He D. Molecular and Cellular Heterogeneity in Rheumatoid Arthritis: Mechanisms and Clinical Implications. Front Immunol 2021; 12:790122. [PMID: 34899757 PMCID: PMC8660630 DOI: 10.3389/fimmu.2021.790122] [Citation(s) in RCA: 68] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 11/08/2021] [Indexed: 12/20/2022] Open
Abstract
Rheumatoid arthritis is an autoimmune disease that exhibits significant clinical heterogeneity. There are various treatments for rheumatoid arthritis, including disease-modifying anti-rheumatic drugs (DMARDs), glucocorticoids, non-steroidal anti-inflammatory drugs (NSAIDs), and inflammatory cytokine inhibitors (ICI), typically associated with differentiated clinical effects and characteristics. Personalized responsiveness is observed to the standard treatment due to the pathophysiological heterogeneity in rheumatoid arthritis, resulting in an overall poor prognosis. Understanding the role of individual variation in cellular and molecular mechanisms related to rheumatoid arthritis will considerably improve clinical care and patient outcomes. In this review, we discuss the source of pathophysiological heterogeneity derived from genetic, molecular, and cellular heterogeneity and their possible impact on precision medicine and personalized treatment of rheumatoid arthritis. We provide emphasized description of the heterogeneity derived from mast cells, monocyte cell, macrophage fibroblast-like synoviocytes and, interactions within immune cells and with inflammatory cytokines, as well as the potential as a new therapeutic target to develop a novel treatment approach. Finally, we summarize the latest clinical trials of treatment options for rheumatoid arthritis and provide a suggestive framework for implementing preclinical and clinical experimental results into clinical practice.
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Affiliation(s)
- Jianan Zhao
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Shicheng Guo
- Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Steven J. Schrodi
- Computation and Informatics in Biology and Medicine, University of Wisconsin-Madison, Madison, WI, United States
- Department of Medical Genetics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, United States
| | - Dongyi He
- Guanghua Clinical Medical College, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Department of Rheumatology, Shanghai Guanghua Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Arthritis Institute of Integrated Traditional and Western Medicine, Shanghai Chinese Medicine Research Institute, Shanghai, China
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7
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Farré X, Molina R, Barteri F, Timmers PRHJ, Joshi PK, Oliva B, Acosta S, Esteve-Altava B, Navarro A, Muntané G. Comparative Analysis of Mammal Genomes Unveils Key Genomic Variability for Human Life Span. Mol Biol Evol 2021; 38:4948-4961. [PMID: 34297086 PMCID: PMC8557403 DOI: 10.1093/molbev/msab219] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
The enormous mammal's lifespan variation is the result of each species' adaptations to their own biological trade-offs and ecological conditions. Comparative genomics have demonstrated that genomic factors underlying both, species lifespans and longevity of individuals, are in part shared across the tree of life. Here, we compared protein-coding regions across the mammalian phylogeny to detect individual amino acid (AA) changes shared by the most long-lived mammals and genes whose rates of protein evolution correlate with longevity. We discovered a total of 2,737 AA in 2,004 genes that distinguish long- and short-lived mammals, significantly more than expected by chance (P = 0.003). These genes belong to pathways involved in regulating lifespan, such as inflammatory response and hemostasis. Among them, a total 1,157 AA showed a significant association with maximum lifespan in a phylogenetic test. Interestingly, most of the detected AA positions do not vary in extant human populations (81.2%) or have allele frequencies below 1% (99.78%). Consequently, almost none of these putatively important variants could have been detected by genome-wide association studies. Additionally, we identified four more genes whose rate of protein evolution correlated with longevity in mammals. Crucially, SNPs located in the detected genes explain a larger fraction of human lifespan heritability than expected, successfully demonstrating for the first time that comparative genomics can be used to enhance interpretation of human genome-wide association studies. Finally, we show that the human longevity-associated proteins are significantly more stable than the orthologous proteins from short-lived mammals, strongly suggesting that general protein stability is linked to increased lifespan.
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Affiliation(s)
- Xavier Farré
- Department of Experimental and Health Sciences, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
| | - Ruben Molina
- Structural Bioinformatics Lab, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Fabio Barteri
- Department of Experimental and Health Sciences, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
| | - Paul R H J Timmers
- MRC Human Genetics Unit, MRC Institute of Genetics & Molecular Medicine, University of Edinburgh, Edinburgh, United Kingdom,Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Peter K Joshi
- Centre for Global Health Research, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom
| | - Baldomero Oliva
- Structural Bioinformatics Lab, Department of Experimental and Health Sciences, Universitat Pompeu Fabra, Barcelona, Spain
| | - Sandra Acosta
- Department of Experimental and Health Sciences, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
| | - Borja Esteve-Altava
- Department of Experimental and Health Sciences, Institute of Evolutionary Biology (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
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8
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Puentes-Osorio Y, Amariles P, Calleja MÁ, Merino V, Díaz-Coronado JC, Taborda D. Potential clinical biomarkers in rheumatoid arthritis with an omic approach. AUTOIMMUNITY HIGHLIGHTS 2021; 12:9. [PMID: 34059137 PMCID: PMC8165788 DOI: 10.1186/s13317-021-00152-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Accepted: 03/18/2021] [Indexed: 12/29/2022]
Abstract
Objective To aid in the selection of the most suitable therapeutic option in patients with diagnosis of rheumatoid arthritis according to the phase of disease, through the review of articles that identify omics biological markers. Methods A systematic review in PubMed/Medline databases was performed. We searched articles from August 2014 to September 2019, in English and Spanish, filtered by title and full text; and using the terms "Biomarkers" AND “Rheumatoid arthritis". Results This article supplies an exhaustive review from research of objective measurement, omics biomarkers and how disease activity appraise decrease unpredictability in treatment determinations, and finally, economic, and clinical outcomes of treatment options by biomarkers’ potential influence. A total of 122 articles were included. Only 92 met the established criteria for review purposes and 17 relevant references about the topic were included as well. Therefore, it was possible to identify 196 potential clinical biomarkers: 22 non-omics, 20 epigenomics, 33 genomics, 21 transcriptomics, 78 proteomics, 4 glycomics, 1 lipidomics and 17 metabolomics. Conclusion A biomarker is a measurable indicator of some, biochemical, physiological, or morphological condition; evaluable at a molecular, biochemical, or cellular level. Biomarkers work as indicators of physiological or pathological processes, or as a result of a therapeutic management. In the last five years, new biomarkers have been identified, especially the omics, which are those that proceed from the investigation of genes (genomics), metabolites (metabolomics), and proteins (proteomics). These biomarkers contribute to the physician choosing the best therapeutic option in patients with rheumatoid arthritis.
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The family history of rheumatoid arthritis in anti-cyclic citrullinated peptide antibody-positive patient is not a predictor of poor clinical presentation and treatment response with modern classification criteria and treatment strategy: the ANSWER cohort study. Rheumatol Int 2019; 40:217-225. [PMID: 31620864 DOI: 10.1007/s00296-019-04464-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2019] [Accepted: 10/10/2019] [Indexed: 12/12/2022]
Abstract
A family history of rheumatoid arthritis (RA) is a strong risk factor for developing RA, affecting both genetically and environmentally. However, whether family history provides clinically relevant information in the modern classification and treatment remains largely unknown. This study aimed to determine whether a family history of RA is associated with a different clinical presentation of RA and treatment response. We retrospectively evaluated the demographic data and disease activity of newly diagnosed RA patients at baseline, 1 year, and 2 years after onset, using the ANSWER (Kansai consortium for the well-being of rheumatic disease patients) cohort data. Thirty-one patients (11.9%) among 260 newly diagnosed RA patients had a family history of RA up to second degree. There was no significant difference in the age at onset, time from onset to first visit, sex, positivity or value of rheumatoid factor or anti-cyclic citrullinated peptide antibody (ACPA), or disease activity between patients with and without a family history of RA. However, patients who had a family history of RA and were ACPA positive showed significantly lower erythrocyte sedimentation rate, and C-reactive protein. Disease activity in patients with a family history was not worse at baseline, after 1 year or 2 years of treatment. The Larsen score 2 years after onset was equivalent between the patients with and without a family history of RA in ACPA-positive patients. Family history of RA in ACPA-positive patients is not associated with high disease activity at baseline and is not a predictor of poor outcome 2 years after onset.
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10
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Traylor M, Knevel R, Cui J, Taylor J, Harm-Jan W, Conaghan PG, Cope AP, Curtis C, Emery P, Newhouse S, Patel H, Steer S, Gregersen P, Shadick NA, Weinblatt ME, Van Der Helm-van Mil A, Barrett JH, Morgan AW, Lewis CM, Scott IC. Genetic associations with radiological damage in rheumatoid arthritis: Meta-analysis of seven genome-wide association studies of 2,775 cases. PLoS One 2019; 14:e0223246. [PMID: 31596875 PMCID: PMC6785117 DOI: 10.1371/journal.pone.0223246] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2019] [Accepted: 09/17/2019] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Previous studies of radiological damage in rheumatoid arthritis (RA) have used candidate-gene approaches, or evaluated single genome-wide association studies (GWAS). We undertook the first meta-analysis of GWAS of RA radiological damage to: (1) identify novel genetic loci for this trait; and (2) test previously validated variants. METHODS Seven GWAS (2,775 RA cases, of a range of ancestries) were combined in a meta-analysis. Radiological damage was assessed using modified Larsen scores, Sharp van Der Heijde scores, and erosive status. Single nucleotide polymophsim (SNP) associations with radiological damage were tested at a single time-point using regression models. Primary analyses included age and disease duration as covariates. Secondary analyses also included rheumatoid factor (RF). Meta-analyses were undertaken in trans-ethnic and European-only cases. RESULTS In the trans-ethnic primary meta-analysis, one SNP (rs112112734) in close proximity to HLA-DRB1, and strong linkage disequilibrium with the shared-epitope, attained genome-wide significance (P = 4.2x10-8). In the secondary analysis (adjusting for RF) the association was less significant (P = 1.7x10-6). In both trans-ethnic primary and secondary meta-analyses 14 regions contained SNPs with associations reaching P<5x10-6; in the European primary and secondary analyses 13 and 10 regions contained SNPs reaching P<5x10-6, respectively. Of the previously validated SNPs for radiological progression, only rs660895 (tagging HLA-DRB1*04:01) attained significance (P = 1.6x10-5) and had a consistent direction of effect across GWAS. CONCLUSIONS Our meta-analysis confirms the known association between the HLA-DRB1 shared epitope and RA radiological damage. The lack of replication of previously validated non-HLA markers highlights a requirement for further research to deliver clinically-useful prognostic genetic markers.
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Affiliation(s)
- Matthew Traylor
- Department of Clinical Neurosciences, Stroke Research Group, University of Cambridge, Cambridge, United Kingdom
- Department of Medical and Molecular Genetics, King’s College London, London, United Kingdom
| | - Rachel Knevel
- Brigham and Women’s Hospital, Division of Genetics, Raychaudhuri Lab, Boston, MA, United States of America
- Broad institute, Cambridge, MA, United States of America
- Department of Rheumatology C1-R, Leiden University Medical Center, Albinusdreef, Leiden, the Netherlands
| | - Jing Cui
- Division of Rheumatology Immunology and Allergy Brigham & Women's Hospital Harvard Medical School Boston, MA, United States of America
| | - John Taylor
- Leeds Institute of Cancer & Pathology, Worsley Building Level 11 (LIDA), Clarendon Way, Leeds, United Kingdom
| | - Westra Harm-Jan
- Brigham and Women’s Hospital, Division of Genetics, Raychaudhuri Lab, Boston, MA, United States of America
- Broad institute, Cambridge, MA, United States of America
| | - Philip G. Conaghan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Andrew P. Cope
- Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, London, United Kingdom
| | - Charles Curtis
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, United Kingdom
- SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Paul Emery
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Stephen Newhouse
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, United Kingdom
- Department of Biostatistics and Health Informatics, Institute of Psychiatry, Psychology and Neuroscience, King’s College London, London, United Kingdom
- Farr Institute of Health Informatics Research, UCL Institute of Health Informatics, University College London, London, United Kingdom
| | - Hamel Patel
- NIHR Biomedical Research Centre at South London and Maudsley NHS Foundation Trust and King’s College London, London, United Kingdom
| | - Sophia Steer
- Department of Rheumatology, King’s College Hospital, Denmark Hill, London, United Kingdom
| | - Peter Gregersen
- The Feinstein Institute for Medical Research, Northwell Health, Manhasset, New York, United States of America
| | - Nancy A. Shadick
- Division of Rheumatology Immunology and Allergy Brigham & Women's Hospital Harvard Medical School Boston, MA, United States of America
| | - Michael E. Weinblatt
- Division of Rheumatology Immunology and Allergy Brigham & Women's Hospital Harvard Medical School Boston, MA, United States of America
| | | | - Jennifer H. Barrett
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
- School of Medicine, University of Leeds, Leeds, United Kingdom
| | - Ann W. Morgan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, United Kingdom
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
| | - Cathryn M. Lewis
- Department of Medical and Molecular Genetics, King’s College London, London, United Kingdom
- SGDP Centre, Institute of Psychiatry, Psychology & Neuroscience, King’s College London, London, United Kingdom
| | - Ian C. Scott
- Primary Care Centre Versus Arthritis, Research Institute for Primary Care and Health Sciences, Primary Care Sciences, Keele University, Keele, United Kingdom
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, High Lane, Burslem, Staffordshire, United Kingdom
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11
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Karami J, Aslani S, Jamshidi A, Garshasbi M, Mahmoudi M. Genetic implications in the pathogenesis of rheumatoid arthritis; an updated review. Gene 2019; 702:8-16. [PMID: 30904715 DOI: 10.1016/j.gene.2019.03.033] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Revised: 03/09/2019] [Accepted: 03/17/2019] [Indexed: 01/11/2023]
Abstract
Three important factors, including genetics, environment factors and autoimmunity play a role in the pathogenesis of rheumatoid arthritis (RA). The heritability of RA has been accounted to be 50-60%, while the HLA involvement in heritability of the disease has been accounted to be 10-40%. It has been documented that shared epitope (SE) alleles, such as HLA-DRB1*01 and DRB1*04, some HLA alleles like HLA-DRB1*13 and DRB1*15 are connected to RA susceptibility. An advanced classification of SE categorizes SE alleles into four main groups namely, S1, S2, S3D, and S3P. The S2 and S3P groups have been linked to susceptibility of seropositive RA. Various genome-wide association studies (GWAS) have discovered many susceptibility loci implicated in pathogenesis of RA. Some of the important single nucleotide polymorphisms (SNPs) linked to RA are TRAF1, STAT4, CTLA4, IRF5, CCR6, PTPN22, IL23R, and PADI4. HLA and non-HLA genes may discriminate anti-cyclic citrullinated peptide (anti-CCP) antibody-positive and anti-CCP-negative RA groups. Furthermore, risk of the disease has also been linked to environmental agents, mainly cigarette smoking. Pharmacogenomics has also confirmed SNPs or genetic patterns that might be linked to drugs responses. Different aspects of genetic involvement in the pathogenesis, etiology, and RA complications are reviewed in this article.
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Affiliation(s)
- Jafar Karami
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran; Department of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Saeed Aslani
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmadreza Jamshidi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Masoud Garshasbi
- Department of Medical Genetics, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran
| | - Mahdi Mahmoudi
- Rheumatology Research Center, Tehran University of Medical Sciences, Tehran, Iran.
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12
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Evaluating the bromodomain protein BRD1 as a therapeutic target in rheumatoid arthritis. Sci Rep 2018; 8:11125. [PMID: 30042400 PMCID: PMC6057939 DOI: 10.1038/s41598-018-29127-w] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Accepted: 07/05/2018] [Indexed: 12/28/2022] Open
Abstract
Targeting epigenetic reader proteins by small molecule inhibitors represents a new therapeutic concept in autoimmune diseases such as rheumatoid arthritis (RA). Although inhibitors targeting bromodomain protein 1 (BRD1) are in development, the function of BRD1 has hardly been studied. We investigated the therapeutic potential of BRD1 inhibition in joint-resident cells in RA, synovial fibroblasts (SF) and macrophages. The proliferation of SF was decreased upon BRD1 silencing, accompanied by the downregulation of genes involved in cell cycle regulation. Silencing of BRD1 in SF decreased the basal expression of MMP1 but increased TNF-α- and LPS-induced levels of MMP3, IL6 and IL8. In monocyte-derived macrophages (MDM), silencing of BRD1 decreased the LPS-induced expression of TNF-α, but did not significantly affect basal and the TNF-α- and LPS-induced expression of IL6 and IL8. Our data point to a cell type- and a stimulus-specific function of BRD1. Inhibiting BRD1 could have potential beneficial effects in RA via decreasing the proliferation of SF. Anti-inflammatory effects were limited and only observed in MDM.
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13
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You S, Koh JH, Leng L, Kim WU, Bucala R. The Tumor-Like Phenotype of Rheumatoid Synovium: Molecular Profiling and Prospects for Precision Medicine. Arthritis Rheumatol 2018; 70:637-652. [PMID: 29287304 PMCID: PMC5920713 DOI: 10.1002/art.40406] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2017] [Accepted: 12/19/2017] [Indexed: 12/13/2022]
Abstract
Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by destructive hyperplasia of the synovium. Fibroblast-like synoviocytes (FLS) are a major component of synovial pannus and actively participate in the pathologic progression of RA. How rheumatoid FLS acquire and sustain such a uniquely aggressive phenotype remains poorly understood. We describe the current state of knowledge of the molecular alterations in rheumatoid FLS at the genomic, epigenomic, transcriptomic, proteomic, and metabolomic levels, which offers a means to reconstruct the pathways leading to rheumatoid pannus. Such data provide new pathologic insight and suggest means to more sensitively assess disease activity and response to therapy, as well as support new avenues for therapeutic development.
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Affiliation(s)
- Sungyong You
- Department of Surgery and Biomedical Sciences, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA
| | - Jung Hee Koh
- Center for Integrative Rheumatoid Transcriptomics and Dynamics, The Catholic University of Korea; Seoul, Korea
- Division of Rheumatology, Department of Internal Medicine, Seoul St. Mary’s hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Lin Leng
- Department of Medicine, Section of Rheumatology, Yale University School of Medicine, New Haven, CT
| | - Wan-Uk Kim
- Center for Integrative Rheumatoid Transcriptomics and Dynamics, The Catholic University of Korea; Seoul, Korea
- Division of Rheumatology, Department of Internal Medicine, Seoul St. Mary’s hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Richard Bucala
- Department of Medicine, Section of Rheumatology, Yale University School of Medicine, New Haven, CT
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14
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Joo YB, Kim Y, Park Y, Kim K, Ryu JA, Lee S, Bang SY, Lee HS, Yi GS, Bae SC. Biological function integrated prediction of severe radiographic progression in rheumatoid arthritis: a nested case control study. Arthritis Res Ther 2017; 19:244. [PMID: 29065906 PMCID: PMC5655942 DOI: 10.1186/s13075-017-1414-x] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2017] [Accepted: 08/31/2017] [Indexed: 12/05/2022] Open
Abstract
Background Radiographic progression is reported to be highly heritable in rheumatoid arthritis (RA). However, previous study using genetic loci showed an insufficient accuracy of prediction for radiographic progression. The aim of this study is to identify a biologically relevant prediction model of radiographic progression in patients with RA using a genome-wide association study (GWAS) combined with bioinformatics analysis. Methods We obtained genome-wide single nucleotide polymorphism (SNP) data for 374 Korean patients with RA using Illumina HumanOmni2.5Exome-8 arrays. Radiographic progression was measured using the yearly Sharp/van der Heijde modified score rate, and categorized in no or severe progression. Significant SNPs for severe radiographic progression from GWAS were mapped on the functional genes and reprioritized by post-GWAS analysis. For robust prediction of radiographic progression, tenfold cross-validation using a support vector machine (SVM) classifier was conducted. Accuracy was used for selection of optimal SNPs set in the Hanyang Bae RA cohort. The performance of our final model was compared with that of other models based on GWAS results and SPOT (one of the post-GWAS analyses) using receiver operating characteristic (ROC) curves. The reliability of our model was confirmed using GWAS data of Caucasian patients with RA. Results A total of 36,091 significant SNPs with a p value <0.05 from GWAS were reprioritized using post-GWAS analysis and approximately 2700 were identified as SNPs related to RA biological features. The best average accuracy of ten groups was 0.6015 with 85 SNPs, and this increased to 0.7481 when combined with clinical information. In comparisons of the performance of the model, the 0.7872 area under the curve (AUC) in our model was superior to that obtained with GWAS (AUC 0.6586, p value 8.97 × 10-5) or SPOT (AUC 0.7449, p value 0.0423). Our model strategy also showed superior prediction accuracy in Caucasian patients with RA compared with GWAS (p value 0.0049) and SPOT (p value 0.0151). Conclusions Using various biological functions of SNPs and repeated machine learning, our model could predict severe radiographic progression relevantly and robustly in patients with RA compared with models using only GWAS results or other post-GWAS tools. Electronic supplementary material The online version of this article (doi:10.1186/s13075-017-1414-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Young Bin Joo
- Department of Rheumatology, St. Vincent's Hospital, The Catholic University of Korea, Suwon, Republic of Korea
| | - Yul Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea
| | - Youngho Park
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea
| | - Kwangwoo Kim
- Department of Biology, Kyung Hee University, Seoul, Republic of Korea
| | - Jeong Ah Ryu
- Department of Radiology, Hanyang University Hospital, Seoul, Republic of Korea
| | - Seunghun Lee
- Department of Radiology, Hanyang University Hospital, Seoul, Republic of Korea
| | - So-Young Bang
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea
| | - Hye-Soon Lee
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea.
| | - Gwan-Su Yi
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea.
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Republic of Korea.
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15
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Knevel R, Huizinga TW, Kurreeman F. Genomic Influences on Susceptibility and Severity of Rheumatoid Arthritis. Rheum Dis Clin North Am 2017; 43:347-361. [DOI: 10.1016/j.rdc.2017.04.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
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16
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Viatte S, Lee JC, Fu B, Espéli M, Lunt M, De Wolf JNE, Wheeler L, Reynolds JA, Castelino M, Symmons DPM, Lyons PA, Barton A, Smith KGC. Association Between Genetic Variation in FOXO3 and Reductions in Inflammation and Disease Activity in Inflammatory Polyarthritis. Arthritis Rheumatol 2017; 68:2629-2636. [PMID: 27214848 PMCID: PMC5091631 DOI: 10.1002/art.39760] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2016] [Accepted: 05/12/2016] [Indexed: 12/25/2022]
Abstract
Objective Genetic variation in FOXO3 (tagged by rs12212067) has been associated with a milder course of rheumatoid arthritis (RA) and shown to limit monocyte‐driven inflammation through a transforming growth factor β1–dependent pathway. This genetic association, however, has not been consistently observed in other RA cohorts. We sought to clarify the contribution of FOXO3 to prognosis in RA by combining detailed analysis of nonradiographic disease severity measures with an in vivo model of arthritis. Methods Collagen‐induced arthritis, the most commonly used mouse model of RA, was used to assess how Foxo3 contributes to arthritis severity. Using clinical, serologic, and biochemical methods, the arthritis that developed in mice carrying a loss‐of‐function mutation in Foxo3 was compared with that which occurred in littermate controls. The association of rs12212067 with nonradiographic measures of RA severity, including the C‐reactive protein level, the swollen joint count, the tender joint count, the Disease Activity Score in 28 joints, and the Health Assessment Questionnaire score, were modeled longitudinally in a large prospective cohort of patients with early RA. Results Loss of Foxo3 function resulted in more severe arthritis in vivo (both clinically and histologically) and was associated with higher titers of anticollagen antibodies and interleukin‐6 in the blood. Similarly, rs12212067 (a single‐nucleotide polymorphism that increases FOXO3 transcription) was associated with reduced inflammation, both biochemically and clinically, and with lower RA activity scores. Conclusion Consistent with its known role in restraining inflammatory responses, FOXO3 limits the severity of in vivo arthritis and, through genetic variation that increases its transcription, is associated with reduced inflammation and disease activity in RA patients, effects that result in less radiographic damage.
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Affiliation(s)
| | - James C Lee
- University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Bo Fu
- University of Manchester, Manchester, UK, and University College London, London, UK
| | - Marion Espéli
- UMR 996, Inflammation, Chemokines, and Immunopathology, INSERM, Université Paris-Sud, Université Paris-Saclay, Clamart, France
| | - Mark Lunt
- University of Manchester, Manchester, UK
| | | | | | | | | | - Deborah P M Symmons
- NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Paul A Lyons
- University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anne Barton
- NIHR Manchester Musculoskeletal Biomedical Research Unit, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
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17
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Viatte S, Barton A. Genetics of rheumatoid arthritis susceptibility, severity, and treatment response. Semin Immunopathol 2017; 39:395-408. [PMID: 28555384 PMCID: PMC5486781 DOI: 10.1007/s00281-017-0630-4] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 04/10/2017] [Indexed: 12/18/2022]
Abstract
A decade after the first genome-wide association study in rheumatoid arthritis (RA), a plethora of genetic association studies have been published on RA and its clinical or serological subtypes. We review the major milestones in the study of the genetic architecture of RA susceptibility, severity, and response to treatment. We set the scientific context necessary for non-geneticists to understand the potential clinical applications of human genetics and its significance for a stratified approach to the management of RA in the future.
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Affiliation(s)
- Sebastien Viatte
- Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.
| | - Anne Barton
- Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, The University of Manchester, Oxford Road, Manchester, M13 9PT, UK.,NIHR Manchester Musculoskeletal Biomedical Research Unit, Manchester Academic Health Science Centre, Central Manchester University Hospitals NHS Foundation Trust, Grafton Street, Manchester, M13 9WL, UK
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18
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Joo YB, Park Y, Kim K, Bang SY, Bae SC, Lee HS. Association of CD8+
T-cells with bone erosion in patients with rheumatoid arthritis. Int J Rheum Dis 2017; 21:440-446. [DOI: 10.1111/1756-185x.13090] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Affiliation(s)
- Young Bin Joo
- Department of Rheumatology; St. Vincent's Hospital; The Catholic University of Korea; Suwon Korea
| | - Youngho Park
- Department of Rheumatology; Hanyang University Hospital for Rheumatic Diseases; Seoul Korea
| | - Kwangwoo Kim
- Department of Biology; Kyung Hee University; Seoul Korea
| | - So-Young Bang
- Department of Rheumatology; Hanyang University Hospital for Rheumatic Diseases; Seoul Korea
| | - Sang-Cheol Bae
- Department of Rheumatology; Hanyang University Hospital for Rheumatic Diseases; Seoul Korea
| | - Hye-Soon Lee
- Department of Rheumatology; Hanyang University Hospital for Rheumatic Diseases; Seoul Korea
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19
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Angiolilli C, Baeten DL, Radstake TR, Reedquist KA. The acetyl code in rheumatoid arthritis and other rheumatic diseases. Epigenomics 2017; 9:447-461. [DOI: 10.2217/epi-2016-0136] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Growing evidence supports the idea that aberrancies in epigenetic processes contribute to the onset and progression of human immune-mediated inflammatory diseases, such as rheumatoid arthritis (RA). Epigenetic regulators of histone tail modifications play a role in chromatin accessibility and transcriptional responses to inflammatory stimuli. Among these, histone deacetylases (HDACs) regulate the acetylation status of histones and nonhistone proteins, essential for immune responses. Broad-spectrum HDAC inhibitors are well-known anti-inflammatory agents and reduce disease severity in animal models of arthritis; however, selective HDAC inhibitors remain poorly studied. In this review, we describe emerging findings regarding the aberrant acetyl code in RA and other rheumatic disorders which may help identify not only novel diagnostic and prognostic clinical biomarkers for RA, but also new targets for epigenetic pharmacological applications.
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Affiliation(s)
- Chiara Angiolilli
- Laboratory of Translational Immunology & Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Amsterdam Rheumatology & Immunology Center, Department of Clinical Immunology & Rheumatology, Department of Experimental Immunology Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Dominique L Baeten
- Amsterdam Rheumatology & Immunology Center, Department of Clinical Immunology & Rheumatology, Department of Experimental Immunology Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Timothy R Radstake
- Laboratory of Translational Immunology & Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Kris A Reedquist
- Laboratory of Translational Immunology & Department of Rheumatology & Clinical Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
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20
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Frank-Bertoncelj M, Klein K, Gay S. Interplay between genetic and epigenetic mechanisms in rheumatoid arthritis. Epigenomics 2017; 9:493-504. [PMID: 28322583 DOI: 10.2217/epi-2016-0142] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023] Open
Abstract
Genetic and environmental factors contribute to the risk for rheumatoid arthritis (RA), with epigenetics serving as a possible interface through which risk factors contribute to RA. High-throughput technologies for interrogating genome and epigenome, and the availability of genetic and epigenetic datasets across a diversity of cell types, enable the identification of candidate causal genetic variants for RA to study their function in core RA processes. To date, RA risk variants were studied in the immune cells but not joint resident cells, for example, synovial fibroblasts. Synovial fibroblasts from different joints are distinct, anatomically specialized cells, defined by joint-specific transcriptomes, epigenomes and phenotypes. Cell type-specific analysis of epigenetic changes, together with genetic fine mapping and interrogation of chromatin 3D interactions may identify new disease relevant pathways, potential therapeutic targets and biomarkers for RA progression or therapy response.
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Affiliation(s)
| | - Kerstin Klein
- Center of Experimental Rheumatology, University Hospital Zurich, Switzerland
| | - Steffen Gay
- Center of Experimental Rheumatology, University Hospital Zurich, Switzerland
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21
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Teves ME, Nagarkatti-Gude DR, Zhang Z, Strauss JF. Mammalian axoneme central pair complex proteins: Broader roles revealed by gene knockout phenotypes. Cytoskeleton (Hoboken) 2016; 73:3-22. [PMID: 26785425 DOI: 10.1002/cm.21271] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2015] [Revised: 11/22/2015] [Accepted: 12/24/2015] [Indexed: 01/09/2023]
Abstract
The axoneme genes, their encoded proteins, their functions and the structures they form are largely conserved across species. Much of our knowledge of the function and structure of axoneme proteins in cilia and flagella is derived from studies on model organisms like the green algae, Chlamydomonas reinhardtii. The core structure of cilia and flagella is the axoneme, which in most motile cilia and flagella contains a 9 + 2 configuration of microtubules. The two central microtubules are the scaffold of the central pair complex (CPC). Mutations that disrupt CPC genes in Chlamydomonas and other model organisms result in defects in assembly, stability and function of the axoneme, leading to flagellar motility defects. However, targeted mutations generated in mice in the orthologous CPC genes have revealed significant differences in phenotypes of mutants compared to Chlamydomonas. Here we review observations that support the concept of cell-type specific roles for the CPC genes in mice, and an expanded repertoire of functions for the products of these genes in cilia, including non-motile cilia, and other microtubule-associated cellular functions.
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Affiliation(s)
- Maria E Teves
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia
| | - David R Nagarkatti-Gude
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia.,Department of Biochemistry and Molecular Biology, Virginia Commonwealth University, Richmond, Virginia
| | - Zhibing Zhang
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia.,Department of Biochemistry and Molecular Biology, Virginia Commonwealth University, Richmond, Virginia
| | - Jerome F Strauss
- Department of Obstetrics and Gynecology, Virginia Commonwealth University, Richmond, Virginia.,Department of Biochemistry and Molecular Biology, Virginia Commonwealth University, Richmond, Virginia
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22
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Detert J, Burmester GR. [Treat to target and personalized medicine (precision medicine)]. Z Rheumatol 2016; 75:624-32. [PMID: 27365026 DOI: 10.1007/s00393-016-0137-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- J Detert
- Klinik m.S. Rheumatologie und Klinische Immunologie, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland.
| | - G R Burmester
- Klinik m.S. Rheumatologie und Klinische Immunologie, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Deutschland
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23
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Terao C, Raychaudhuri S, Gregersen PK. Recent Advances in Defining the Genetic Basis of Rheumatoid Arthritis. Annu Rev Genomics Hum Genet 2016; 17:273-301. [PMID: 27216775 DOI: 10.1146/annurev-genom-090314-045919] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Rheumatoid arthritis (RA) is the most common inflammatory arthritis and exhibits genetic overlap with other autoimmune and inflammatory disorders. Although predominant associations with the HLA-DRB1 locus have been known for decades, recent data have revealed additional insight into the likely causative variants within HLA-DRB1 as well as within other HLA loci that contribute to disease risk. In addition, more than 100 common variants in non-HLA loci have been implicated in disease susceptibility. Genetic factors are involved not only in the development of RA, but also with various disease subphenotypes, including production and circulating levels of autoantibodies and joint destruction. The major current challenge is to integrate these new data into a precise understanding of disease pathogenesis, including the critical cell types and molecular networks involved as well as interactions with environmental factors. We predict that delineating the functional effects of genetic variants is likely to drive new diagnostic and therapeutic approaches to the disease.
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Affiliation(s)
- Chikashi Terao
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115.,Partners Center for Personalized Genetic Medicine, Boston, Massachusetts 02115.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142; .,Center for the Promotion of Interdisciplinary Education and Research, Kyoto University, Kyoto 606-8501, Japan;
| | - Soumya Raychaudhuri
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02115.,Partners Center for Personalized Genetic Medicine, Boston, Massachusetts 02115.,Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142; .,Institute of Inflammation and Repair, University of Manchester, M15 6SZ Manchester, United Kingdom.,Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital Solna, SE-171 76 Stockholm, Sweden
| | - Peter K Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, The Feinstein Institute for Medical Research, Manhasset, New York 11030;
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24
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Márquez A, Martín J, Carmona FD. Emerging aspects of molecular biomarkers for diagnosis, prognosis and treatment response in rheumatoid arthritis. Expert Rev Mol Diagn 2016; 16:663-75. [DOI: 10.1080/14737159.2016.1174579] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
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25
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Julià A, González I, Fernández-Nebro A, Blanco F, Rodriguez L, González A, Cañete JD, Maymó J, Alperi-López M, Olivé A, Corominas H, Martínez-Taboada V, Erra A, Sánchez-Fernández S, Alonso A, Lopez-Lasanta M, Tortosa R, Codó L, Gelpi JL, García-Montero AC, Bertranpetit J, Absher D, Bridges SL, Myers RM, Tornero J, Marsal S. A genome-wide association study identifies SLC8A3 as a susceptibility locus for ACPA-positive rheumatoid arthritis. Rheumatology (Oxford) 2016; 55:1106-11. [PMID: 26983453 DOI: 10.1093/rheumatology/kew035] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2015] [Indexed: 11/13/2022] Open
Abstract
OBJECTIVE RA patients with serum ACPA have a strong and specific genetic background. The objective of the study was to identify new susceptibility genes for ACPA-positive RA using a genome-wide association approach. METHODS A total of 924 ACPA-positive RA patients with joint damage in hands and/or feet, and 1524 healthy controls were genotyped in 582 591 single-nucleotide polymorphisms (SNPs) in the discovery phase. In the validation phase, the most significant SNPs in the genome-wide association study representing new candidate loci for RA were tested in an independent cohort of 863 ACPA-positive patients with joint damage and 1152 healthy controls. All individuals from the discovery and validation cohorts were Caucasian and of Southern European ancestry. RESULTS In the discovery phase, 60 loci not previously associated with RA risk showed evidence for association at P < 5×10(-4) and were tested for replication in the validation cohort. A total of 12 loci were replicated at the nominal level (P < 0.05, same direction of effect as in the discovery phase). When combining the discovery and validation cohorts, an intronic SNP in the Solute Carrier family 8 gene (SLC8A3) was found to be associated with ACPA-positive RA at a genome-wide level of significance RA [odds ratio (95% CI): 1.42 (1.25, 1.6), Pcombined = 3.19×10(-8)]. CONCLUSIONS SLC8A3 was identified as a new risk locus for ACPA-positive RA. This study demonstrates the advantage of analysing relevant subsets of RA patients to identify new genetic risk variants.
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Affiliation(s)
- Antonio Julià
- Vall d'Hebron Hospital Research Institute, Rheumatology Research Group, Barcelona
| | - Isidoro González
- Rheumatology Department, Hospital Universitario La Princesa. IIS La Princesa, Madrid
| | - Antonio Fernández-Nebro
- UGC Reumatología, Instituto de Investigación Biomédica de Málaga (IBIMA), Hospital Regional Universitario de Málaga, Universidad de Málaga, Málaga
| | - Francisco Blanco
- Rheumatology Department, INIBIC-Hospital Universitario A Coruña, A Coruña
| | - Luis Rodriguez
- Rheumatology Department, Hospital Clínico San Carlos, Madrid, Madrid
| | - Antonio González
- Instituto de Investigación Sanitaria-Hospital Clínico Universitario de Santiago, Rheumatology Unit, Santiago de Compostela
| | - Juan D Cañete
- Rheumatology Department, Hospital Clínic de Barcelona, Barcelona
| | - Joan Maymó
- Rheumatology Department, Hospital del Mar, Barcelona, Barcelona
| | | | - Alejandro Olivé
- Rheumatology Department, Hospital Universitari Germans Trias i Pujol
| | | | | | - Alba Erra
- Rheumatology Department, Hospital Sant Rafael, Barcelona
| | | | - Arnald Alonso
- Vall d'Hebron Hospital Research Institute, Rheumatology Research Group, Barcelona
| | - Maria Lopez-Lasanta
- Vall d'Hebron Hospital Research Institute, Rheumatology Research Group, Barcelona
| | - Raül Tortosa
- Vall d'Hebron Hospital Research Institute, Rheumatology Research Group, Barcelona
| | - Laia Codó
- Life Sciences, Barcelona Supercomputing Centre Department of Biochemistry and Molecular Biology, University of Barcelona, Barcelona
| | - Josep Lluis Gelpi
- Life Sciences, Barcelona Supercomputing Centre Department of Biochemistry and Molecular Biology, University of Barcelona, Barcelona
| | | | - Jaume Bertranpetit
- Nacional Genotyping Centre (CeGen), Universitat Pompeu Fabra, Barcelona, Spain
| | - Devin Absher
- Hudson Alpha Institute for Biotechnology, Abshers lab, Huntsville
| | - S Louis Bridges
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham
| | - Richard M Myers
- Hudson Alpha Institute for Biotechnology, Myers lab, Huntsville, AL, USA
| | - Jesus Tornero
- Rheumatology Department, Hospital Universitario De Guadalajara, Guadalajara, Spain
| | - Sara Marsal
- Vall d'Hebron Hospital Research Institute, Rheumatology Research Group, Barcelona
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26
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Genetic data: The new challenge of personalized medicine, insights for rheumatoid arthritis patients. Gene 2016; 583:90-101. [PMID: 26869316 DOI: 10.1016/j.gene.2016.02.004] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2015] [Revised: 01/18/2016] [Accepted: 02/05/2016] [Indexed: 01/15/2023]
Abstract
Rapid advances in genotyping technology, analytical methods, and the establishment of large cohorts for population genetic studies have resulted in a large new body of information about the genetic basis of human rheumatoid arthritis (RA). Improved understanding of the root pathogenesis of the disease holds the promise of improved diagnostic and prognostic tools based upon this information. In this review, we summarize the nature of new genetic findings in human RA, including susceptibility loci and gene-gene and gene-environment interactions, as well as genetic loci associated with sub-groups of patients and those associated with response to therapy. Possible uses of these data are discussed, such as prediction of disease risk as well as personalized therapy and prediction of therapeutic response and risk of adverse events. While these applications are largely not refined to the point of clinical utility in RA, it seems likely that multi-parameter datasets including genetic, clinical, and biomarker data will be employed in the future care of RA patients.
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Klein K, Kabala PA, Grabiec AM, Gay RE, Kolling C, Lin LL, Gay S, Tak PP, Prinjha RK, Ospelt C, Reedquist KA. The bromodomain protein inhibitor I-BET151 suppresses expression of inflammatory genes and matrix degrading enzymes in rheumatoid arthritis synovial fibroblasts. Ann Rheum Dis 2016; 75:422-9. [PMID: 25467295 DOI: 10.1136/annrheumdis-2014-205809] [Citation(s) in RCA: 111] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2014] [Accepted: 11/07/2014] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To investigate the effects of BET bromodomain protein inhibition on inflammatory activation and functional properties of rheumatoid arthritis synovial fibroblasts (RASF). METHODS The expression of the BET bromodomain proteins BRD2, BRD3 and BRD4 was analysed in synovial tissue by immunohistochemistry. RASF were stimulated with tumour necrosis factor (TNF)-α, interleukin (IL)-1β and toll-like receptor (TLR) ligands (Pam3, pIC and lipopolysaccharide (LPS)) in the presence or absence of the BET inhibitor I-BET151, or siRNA targeting BRD2, BRD3 and BRD4. RASF expression of inflammatory mediators, including MMP1, MMP3, IL-6 and IL-8, was measured by q-PCR, q-PCR array and ELISA. Cellular viability, apoptosis, proliferation and chemoattractive properties of RASF were investigated using MTT, cell apoptosis ELISA, BrdU-based proliferation and transwell migration assays. RESULTS BRD2, BRD3 and BRD4 proteins were detected in rheumatoid arthritis (RA) synovial tissue, expressed in both RASF and macrophages. I-BET151 suppressed cytokine and TLR ligand-induced secretion of MMP1, MMP3, IL-6 and IL-8, and mRNA expression of more than 70% of genes induced by TNF-α and IL-1β. Combined silencing of BRD2, BRD3 and BRD4 significantly reduced cytokine and TLR ligand-induced expression of a subset of gene products targeted by I-BET151, including MMP1, CXCL10 and CXCL11. I-BET151 treatment of RASF reduced RASF proliferation, and the chemotactic potential for peripheral blood leucocytes of RASF conditioned medium. CONCLUSIONS Inhibition of BET family proteins suppresses the inflammatory, matrix-degrading, proliferative and chemoattractive properties of RASF and suggests a therapeutic potential in the targeting of epigenetic reader proteins in RA.
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Affiliation(s)
- Kerstin Klein
- Center of Experimental Rheumatology, University Hospital Zurich, Schlieren, Switzerland
| | - Pawel A Kabala
- Department of Experimental Immunology and Department of Clinical Immunology and Rheumatology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Aleksander M Grabiec
- Department of Experimental Immunology and Department of Clinical Immunology and Rheumatology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Renate E Gay
- Center of Experimental Rheumatology, University Hospital Zurich, Schlieren, Switzerland
| | | | - Lih-Ling Lin
- Inflammation and Remodeling Research Unit, Pfizer, Cambridge, Massachusetts, USA
| | - Steffen Gay
- Center of Experimental Rheumatology, University Hospital Zurich, Schlieren, Switzerland
| | - Paul P Tak
- Department of Experimental Immunology and Department of Clinical Immunology and Rheumatology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands GlaxoSmithKline, Stevenage, UK Cambridge University, Cambridge, UK
| | | | - Caroline Ospelt
- Center of Experimental Rheumatology, University Hospital Zurich, Schlieren, Switzerland
| | - Kris A Reedquist
- Department of Experimental Immunology and Department of Clinical Immunology and Rheumatology, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
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28
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Abstract
Our understanding of epigenetics in complex diseases is rapidly advancing and increasingly influencing the practice of medicine. Much is known about disruption of chromatin-modifying enzymes in malignant disease, but knowledge of irregular epigenetics in immune-driven disorders is just emerging. Epigenetic factors, such as DNA or histone modifications, are indispensable for precise gene expression in diverse immune cell types. Thus a disruption of epigenetic landscapes likely has a large impact on immune homeostasis. Moreover, the low concordance rates for most autoimmune diseases suggest that epigenetics contribute to immune tolerance disturbance. Here we review the important role of epigenetics for initiation, maintenance, tolerance, and training of immune responses. We discuss evolving evidence that DNA/histone modifications and chromatin-modifying enzymes are altered in immune-based diseases. Furthermore, we explore the potential of small molecules targeting epigenetic machinery, some of which are already used in oncology, as a way to reset the immune response in disease.
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29
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de Bock L, Fraussen J, Villar LM, Álvarez-Cermeño JC, Van Wijmeersch B, van Pesch V, Stinissen P, Somers V. Anti-SPAG16 antibodies in primary progressive multiple sclerosis are associated with an elevated progression index. Eur J Neurol 2015; 23:722-8. [PMID: 26706657 DOI: 10.1111/ene.12925] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2015] [Accepted: 11/04/2015] [Indexed: 01/24/2023]
Abstract
BACKGROUND AND PURPOSE Sperm-associated antigen 16 (SPAG16), a sperm protein which is upregulated in reactive astrocytes in multiple sclerosis (MS) lesions, has recently been identified as a novel autoantibody target in MS. The aim of this study was to investigate whether anti-SPAG16 antibody levels differ between MS subtypes (relapsing-remitting, RR; primary or secondary progressive, PP, SP) and whether antibody positivity is associated with clinical characteristics. METHODS Plasma anti-SPAG16 antibody levels were determined by recombinant protein enzyme-linked immunosorbent assay (ELISA) in 374 MS patients (274 RRMS, 39 SPMS and 61 PPMS) and 106 healthy controls. RESULTS Significantly elevated anti-SPAG16 antibodies were found in 22% of MS patients with 93% specificity. Anti-SPAG16 seropositivity was associated with an increased Expanded Disability Status Scale (EDSS) in overall MS. A higher proportion of PPMS patients showed anti-SPAG16 antibody reactivity (34%) compared to RRMS (19%) and SPMS (26%), and presented with higher anti-SPAG16 antibody levels. Seropositive PPMS patients had a significantly increased progression index compared to seronegative patients. CONCLUSIONS Anti-SPAG16 antibodies are associated with an increased EDSS in overall MS, indicating that they are linked to a worse MS disease outcome. Moreover, the presence of anti-SPAG16 antibodies may be a biomarker for a more severe disease in PPMS patients, as indicated by an increased progression index.
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Affiliation(s)
- L de Bock
- Biomedical Research Institute and Transnationale Universiteit Limburg, Hasselt University, Diepenbeek, Belgium
| | - J Fraussen
- Biomedical Research Institute and Transnationale Universiteit Limburg, Hasselt University, Diepenbeek, Belgium
| | - L M Villar
- Departments of Neurology and Immunology, Ramón y Cajal Hospital, Madrid, Spain
| | - J C Álvarez-Cermeño
- Departments of Neurology and Immunology, Ramón y Cajal Hospital, Madrid, Spain
| | - B Van Wijmeersch
- Biomedical Research Institute and Transnationale Universiteit Limburg, Hasselt University, Diepenbeek, Belgium.,Multiple Sclerosis and Rehabilitation Center, Overpelt, Belgium
| | - V van Pesch
- Institute of Neurosciences, Neurochemistry Unit, Université Catholique de Louvain, Brussels, Belgium
| | - P Stinissen
- Biomedical Research Institute and Transnationale Universiteit Limburg, Hasselt University, Diepenbeek, Belgium
| | - V Somers
- Biomedical Research Institute and Transnationale Universiteit Limburg, Hasselt University, Diepenbeek, Belgium
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30
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Abstract
PURPOSE OF REVIEW To give an overview of recently published articles addressing the role of epigenetic modifications in rheumatoid arthritis (RA). Here we focused on DNA methylation and posttranslational histone modifications. RECENT FINDINGS Recent studies attempted to link epigenetic modifications with genetic or environmental risk factors for RA. There is evidence that histone deacetylases confer effects of environmental triggers such as smoking, diet or therapy on expression levels of target genes. Additionally, disturbed methylation patterns and cell-type specific histone methylation marks were identified as potential mediators of genetic risk in RA. Altered methylome signatures were found in several cell types in RA, first of all RA synovial fibroblasts, and contribute to the intrinsic fibroblast activation. The reversal of DNA hypomethylation by inhibiting the polyamine recycling pathway was suggested as new epigenetic therapy in RA. Moreover, targeting epigenetic reader proteins, such as bromodomain proteins, emerged as a new field in drug development and the first studies underscored the potential of these drugs not only in malignant and inflammatory conditions but also in autoimmune diseases. SUMMARY Epigenetic factors represent a promising area to link genetics, regulation of gene expression and environmental risk factors.
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31
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Scott IC, Rijsdijk F, Walker J, Quist J, Spain SL, Tan R, Steer S, Okada Y, Raychaudhuri S, Cope AP, Lewis CM. Do Genetic Susceptibility Variants Associate with Disease Severity in Early Active Rheumatoid Arthritis? J Rheumatol 2015; 42:1131-40. [PMID: 25979711 DOI: 10.3899/jrheum.141211] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/18/2015] [Indexed: 11/22/2022]
Abstract
OBJECTIVE Genetic variants affect both the development and severity of rheumatoid arthritis (RA). Recent studies have expanded the number of RA susceptibility variants. We tested the hypothesis that these associated with disease severity in a clinical trial cohort of patients with early, active RA. METHODS We evaluated 524 patients with RA enrolled in the Combination Anti-Rheumatic Drugs in Early RA (CARDERA) trials. We tested validated susceptibility variants - 69 single-nucleotide polymorphisms (SNP), 15 HLA-DRB1 alleles, and amino acid polymorphisms in 6 HLA molecule positions - for their associations with progression in Larsen scoring, 28-joint Disease Activity Scores, and Health Assessment Questionnaire (HAQ) scores over 2 years using linear mixed-effects and latent growth curve models. RESULTS HLA variants were associated with joint destruction. The *04:01 SNP (rs660895, p = 0.0003), *04:01 allele (p = 0.0002), and HLA-DRβ1 amino acids histidine at position 13 (p = 0.0005) and valine at position 11 (p = 0.0012) significantly associated with radiological progression. This association was only significant in anticitrullinated protein antibody (ACPA)-positive patients, suggesting that while their effects were not mediated by ACPA, they only predicted joint damage in ACPA-positive RA. Non-HLA variants did not associate with radiograph damage (assessed individually and cumulatively as a weighted genetic risk score). Two SNP - rs11889341 (STAT4, p = 0.0001) and rs653178 (SH2B3-PTPN11, p = 0.0004) - associated with HAQ scores over 6-24 months. CONCLUSION HLA susceptibility variants play an important role in determining radiological progression in early, active ACPA-positive RA. Genome-wide and HLA-wide analyses across large populations are required to better characterize the genetic architecture of radiological progression in RA.
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Affiliation(s)
- Ian C Scott
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Frühling Rijsdijk
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Jemma Walker
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Jelmar Quist
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Sarah L Spain
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Rachael Tan
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Sophia Steer
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Yukinori Okada
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Soumya Raychaudhuri
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Andrew P Cope
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
| | - Cathryn M Lewis
- From the Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, and Social, Genetic and Developmental Psychiatry (SGDP) Centre, Institute of Psychiatry, and Department of Rheumatology, King's College London, and Guy's Hospital, London, UK; Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo; Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan; Division of Genetics, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.I.C. Scott, PhD, Clinical Research Fellow, Department of Medical and Molecular Genetics, and Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London, and Guy's Hospital; F. Rijsdijk, PhD, Reader, SGDP Centre, Institute of Psychiatry, King's College London; J. Walker, PhD, Statistical Geneticist; J. Quist, PhD, MSc, Student; S.L. Spain, PhD, Research Associate, Department of Medical and Molecular Genetics, King's College London, and Guy's Hospital; R. Tan, MRes, Core Medical Trainee, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; S. Steer, PhD, Consultant Rheumatologist, Department of Rheumatology, King's College Hospital; Y. Okada, PhD, Tenure Track Junior Associate Professor, Department of Human Genetics and Disease Diversity, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, and Laboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences; S. Raychaudhuri, PhD, Professor, Division of Genetics, Brigham and Women's Hospital, Harvard Medical School; A.P. Cope, PhD, Professor, Academic Department of Rheumatology, Centre for Molecular and Cellular Biology of Inflammation, King's College London; C.M. Lewis, PhD, Prof
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Pratt AG, Isaacs JD. Genotyping in rheumatoid arthritis: a game changer in clinical management? Expert Rev Clin Immunol 2015; 11:303-5. [PMID: 25644535 DOI: 10.1586/1744666x.2015.1008454] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
Rheumatoid arthritis (RA) is a genetically complex disease of immune dysregulation characterized by painful inflammation of synovial joints. Despite advances in its management afforded by biologic drug development, efforts to improve outcomes for patients are confounded by the condition's heterogeneous pathobiology, and consequent variability in therapeutic responses. Great strides have been made in understanding the genetic epidemiology of rheumatoid arthritis since its association with the HLA locus was established in the 1980s, with over 100 additional disease-associated variants now confirmed through cumulative genome-wide association studies. Yet translation of this new knowledge for patient benefit - whether as a route to predicting disease risk, drug development or personalized medicine - has been slow. To address this, collaborating teams of interdisciplinary scientists will need to pool resources, including ever larger, well-characterized patient cohorts and sophisticated biostatistical approaches. Recent advances suggest that the fruits of these endeavors are beginning to come within reach.
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Affiliation(s)
- Arthur G Pratt
- Institute of Cellular Medicine (Musculoskeletal Research Group), Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
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van Steenbergen HW, Rodríguez-Rodríguez L, Berglin E, Zhernakova A, Knevel R, Ivorra-Cortés J, Huizinga TWJ, Fernández-Gutiérrez B, Gregersen PK, Rantapää-Dahlqvist S, van der Helm-van Mil AHM. A genetic study on C5-TRAF1 and progression of joint damage in rheumatoid arthritis. Arthritis Res Ther 2015; 17:1. [PMID: 25566937 PMCID: PMC4318544 DOI: 10.1186/s13075-014-0514-0] [Citation(s) in RCA: 63] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2014] [Accepted: 12/23/2014] [Indexed: 01/26/2023] Open
Abstract
Introduction The severity of joint damage progression in rheumatoid arthritis (RA) is heritable. Several genetic variants have been identified, but together explain only part of the total genetic effect. Variants in Interleukin-6 (IL-6), Interleukin-10 (IL-10), C5-TRAF1, and Fc-receptor-like-3 (FCRL3) have been described to associate with radiographic progression, but results of different studies were incongruent. We aimed to clarify associations of these variants with radiographic progression by evaluating six independent cohorts. Methods In total 5,895 sets of radiographs of 2,493 RA-patients included in six different independent datasets from the Netherlands, Sweden, Spain and North-America were studied in relation to rs1800795 (IL-6), rs1800896 (IL-10), rs2900180 (C5-TRAF1) and rs7528684 (FCRL3). Associations were tested in the total RA-populations and in anti-citrullinated peptide antibodies (ACPA)-positive and ACPA-negative subgroups per cohort, followed by meta-analyses. Furthermore, the associated region C5-TRAF1 was fine-mapped in the ACPA-negative Dutch RA-patients. Results No associations were found for rs1800795 (IL-6), rs1800896 (IL-10) and rs7528684 (FCRL3) in the total RA-population and after stratification for ACPA. Rs2900180 in C5-TRAF1 was associated with radiographic progression in the ACPA-negative population (P-value meta-analysis = 5.85 × 10−7); the minor allele was associated with more radiographic progression. Fine-mapping revealed a region of 66Kb that was associated; the lowest P-value was for rs7021880 in TRAF1. The P-value for rs7021880 in meta-analysis was 6.35 × 10−8. Previous studies indicate that the region of rs7021880 was associated with RNA expression of TRAF1 and C5. Conclusion Variants in IL-6, IL-10 and FCRL3 were not associated with radiographic progression. Rs2900180 in C5-TRAF1 and linked variants in a 66Kb region were associated with radiographic progression in ACPA-negative RA. Electronic supplementary material The online version of this article (doi:10.1186/s13075-014-0514-0) contains supplementary material, which is available to authorized users.
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Role of cysteine‑rich angiogenic inducer 61 in fibroblast‑like synovial cell proliferation and invasion in rheumatoid arthritis. Mol Med Rep 2014; 11:917-23. [PMID: 25351421 PMCID: PMC4262486 DOI: 10.3892/mmr.2014.2770] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2014] [Accepted: 08/08/2014] [Indexed: 02/07/2023] Open
Abstract
Cysteine-rich angiogenic inducer 61 (Cyr61) is a novel molecule that has been shown to be increased in the synovial tissues of patients with rheumatoid arthritis (RA). The present study was conducted in order to investigate the role of Cyr61 in the pathogenesis of RA. A human genome-wide gene assay was used to screen gene expression in synovial tissues obtained from four patients with RA and three patients with osteoarthritis (OA). To examine the role of Cyr61 in the phenotype of RA-fibroblast-like synovial (FLS) cells, Cyr61 expression in RA-FLS cells was knocked down using small interfering RNA (siRNA). Normal FLS cells transduced with lentiviral vectors encoding Cyr61 cDNA were used to further explore the effects of this molecule on FLS cell apoptosis, proliferation and invasion. The study found that the Cyr61 gene was highly expressed in the synovial cells from patients with RA compared with those from patients with OA. Downregulation of Cyr61 by siRNA led to impaired cell proliferation and invasion. Furthermore, it decreased the levels of matrix metalloproteinase (MMP)-3 and MMP-13, and induced apoptosis in RA-FLS cells. Conversely, overexpression of Cyr61 in normal FLS cells led to opposite effects. In conclusion, these results indicate that Cyr61 is capable of promoting RA-FLS cell proliferation and invasion via the suppression of apoptosis and the regulation of MMP expression. Therefore, Cyr61 may be a good target molecule for the treatment and prevention of RA.
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Mukai T, Gallant R, Ishida S, Yoshitaka T, Kittaka M, Nishida K, Fox DA, Morita Y, Ueki Y. SH3BP2 gain-of-function mutation exacerbates inflammation and bone loss in a murine collagen-induced arthritis model. PLoS One 2014; 9:e105518. [PMID: 25144740 PMCID: PMC4140794 DOI: 10.1371/journal.pone.0105518] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2014] [Accepted: 07/21/2014] [Indexed: 12/13/2022] Open
Abstract
Objective SH3BP2 is a signaling adapter protein which regulates immune and skeletal systems. Gain-of-function mutations in SH3BP2 cause cherubism, characterized by jawbone destruction. This study was aimed to examine the role of SH3BP2 in inflammatory bone loss using a collagen-induced arthritis (CIA) model. Methods CIA was induced in wild-type (Sh3bp2+/+) and heterozygous P416R SH3BP2 cherubism mutant knock-in (Sh3bp2KI/+) mice, an SH3BP2 gain-of-function model. Severity of the arthritis was determined by assessing the paw swelling and histological analyses of the joints. Micro-CT analysis was used to determine the levels of bone loss. Inflammation and osteoclastogenesis in the joints were evaluated by quantitating the gene expression of inflammatory cytokines and osteoclast markers. Furthermore, involvement of the T- and B-cell responses was determined by draining lymph node cell culture and measurement of the serum anti-mouse type II collagen antibody levels, respectively. Finally, roles of the SH3BP2 mutation in macrophage activation and osteoclastogenesis were determined by evaluating the TNF-α production levels and osteoclast formation in bone marrow-derived M-CSF-dependent macrophage (BMM) cultures. Results Sh3bp2KI/+ mice exhibited more severe inflammation and bone loss, accompanying an increased number of osteoclasts. The mRNA levels for TNF-α and osteoclast marker genes were higher in the joints of Sh3bp2KI/+ mice. Lymph node cell culture showed that lymphocyte proliferation and IFN-γ and IL-17 production were comparable between Sh3bp2+/+ and Sh3bp2KI/+ cells. Serum anti-type II collagen antibody levels were comparable between Sh3bp2+/+ and Sh3bp2KI/+ mice. In vitro experiments showed that TNF-α production in Sh3bp2KI/+ BMMs is elevated compared with Sh3bp2+/+ BMMs and that RANKL-induced osteoclastogenesis is enhanced in Sh3bp2KI/+ BMMs associated with increased NFATc1 nuclear localization. Conclusion Gain-of-function of SH3BP2 augments inflammation and bone loss in the CIA model through increased macrophage activation and osteoclast formation. Therefore, modulation of the SH3BP2 expression may have therapeutic potential for the treatment of rheumatoid arthritis.
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Affiliation(s)
- Tomoyuki Mukai
- Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Richard Gallant
- Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Shu Ishida
- Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
- Department of Periodontal Medicine, Applied life Sciences, Institute of Biomedical and Health Sciences, Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Teruhito Yoshitaka
- Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Mizuho Kittaka
- Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Keiichiro Nishida
- Department of Orthopaedic Surgery, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
- Department of Human Morphology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama, Japan
| | - David A. Fox
- Division of Rheumatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States of America
| | - Yoshitaka Morita
- Department of Rheumatology, Kawasaki Medical School, Kurashiki, Japan
| | - Yasuyoshi Ueki
- Department of Oral and Craniofacial Sciences, School of Dentistry, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
- * E-mail:
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Kochi Y, Suzuki A, Yamamoto K. Genetic basis of rheumatoid arthritis: a current review. Biochem Biophys Res Commun 2014; 452:254-62. [PMID: 25078624 DOI: 10.1016/j.bbrc.2014.07.085] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2014] [Accepted: 07/18/2014] [Indexed: 12/22/2022]
Abstract
Rheumatoid arthritis (RA) is one of the most common autoimmune diseases. As with other complex traits, genome-wide association studies (GWASs) have tremendously enhanced our understanding of the complex etiology of RA. In this review, we describe the genetic architecture of RA as determined through GWASs and meta-analyses. In addition, we discuss the pathologic mechanism of the disease by examining the combined findings of genetic and functional studies of individual RA-associated genes, including HLA-DRB1, PADI4, PTPN22, TNFAIP3, STAT4, and CCR6. Moreover, we briefly examine the potential use of genetic data in clinical practice in RA treatment, which represents a challenge in medical genetics in the post-GWAS era.
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Affiliation(s)
- Yuta Kochi
- Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan.
| | - Akari Suzuki
- Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, Center for Integrative Medical Sciences, RIKEN, Yokohama, Japan; Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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Knevel R, de Rooy DPC, Saxne T, Lindqvist E, Leijsma MK, Daha NA, Koeleman BPC, Tsonaka R, Houwing-Duistermaat JJ, Schonkeren JJM, Toes REM, Huizinga TWJ, Brouwer E, Wilson AG, van der Helm-van Mil AHM. A genetic variant in osteoprotegerin is associated with progression of joint destruction in rheumatoid arthritis. Arthritis Res Ther 2014; 16:R108. [PMID: 24886600 PMCID: PMC4060386 DOI: 10.1186/ar4558] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2013] [Accepted: 04/15/2014] [Indexed: 02/07/2023] Open
Abstract
INTRODUCTION Progression of joint destruction in rheumatoid arthritis (RA) is partly heritably; 45 to 58% of the variance in joint destruction is estimated to be explained by genetic factors. The binding of RANKL (Receptor Activator for Nuclear Factor κ B Ligand) to RANK results in the activation of TRAF6 (tumor necrosis factor (TNF) receptor associated factor-6), and osteoclast formation ultimately leading to enhanced bone resorption. This bone resorption is inhibited by osteoprotegerin (OPG) which prevents RANKL-RANK interactions. The OPG/RANK/RANKL/TRAF6 pathway plays an important role in bone remodeling. Therefore, we investigated whether genetic variants in OPG, RANK, RANKL and TRAF6 are associated with the rate of joint destruction in RA. METHODS 1,418 patients with 4,885 X-rays of hands and feet derived from four independent data-sets were studied. In each data-set the relative increase of the progression rate per year in the presence of a genotype was assessed. First, explorative analyses were performed on 600 RA-patients from Leiden. 109 SNPs, tagging OPG, RANK, RANKL and TRAF6, were tested. Single nucleotide polymorphisms (SNPs) significantly associated in phase-1 were genotyped in data-sets from Groningen (Netherlands), Sheffield (United Kingdom) and Lund (Switzerland). Data were summarized in an inverse weighted variance meta-analysis. Bonferonni correction for multiple testing was applied. RESULTS We found that 33 SNPs were significantly associated with the rate of joint destruction in phase-1. In phase-2, six SNPs in OPG and four SNPs in RANK were associated with progression of joint destruction with P-value <0.05. In the meta-analyses of all four data-sets, RA-patients with the minor allele of OPG-rs1485305 expressed higher rates of joint destruction compared to patients without these risk variants (P = 2.35x10-4). This variant was also significant after Bonferroni correction. CONCLUSIONS These results indicate that a genetic variant in OPG is associated with a more severe rate of joint destruction in RA.
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