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Khidir SJH, Krijbolder DI, Glas HK, van Mulligen E, van der Helm-van Mil AHM. Patient burden and joint inflammation during development of RA from arthralgia: is it similar in ACPA-positive and ACPA-negative disease? Rheumatology (Oxford) 2024; 63:2336-2344. [PMID: 38261628 PMCID: PMC11371371 DOI: 10.1093/rheumatology/keae044] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Revised: 12/07/2023] [Accepted: 12/22/2023] [Indexed: 01/25/2024] Open
Abstract
OBJECTIVES ACPA-positive and ACPA-negative RA differ in underlying risk factors but have a similar clinical presentation at RA diagnosis. It is unknown what the ACPA-associated differences or similarities are during the symptomatic at-risk stage of RA, i.e. clinically suspect arthralgia (CSA). To deepen insights into these differences/similarities, we compared the course of symptoms/impairments and subclinical joint inflammation in the CSA phase during progression to inflammatory arthritis (IA) or to CSA resolution. METHODS A total of 845 CSA patients were followed for a median of 24 months; 136 patients developed IA and an additional 355/505 patients had resolution of CSA according to rheumatologists. Patient burden (pain, morning stiffness, fatigue, functional disabilities, presenteeism) was assessed at baseline and 4, 12 and 24 months and at IA development. Subclinical joint inflammation in the hands and feet was assessed over time with 1.5T MRI. Linear and Poisson mixed models were used. RESULTS In both ACPA-positive and ACPA-negative patients, patient burden increased towards IA development and decreased towards CSA resolution. However, patient burden was lower in ACPA-positive vs ACPA-negative disease at all timepoints. Conversely, subclinical joint inflammation tended to increase more rapidly during development of ACPA-positive IA [incidence rate ratio (IRR) 1.52 (95% CI 0.94, 2.47), P = 0.089] and remained higher over time in ACPA-positive CSA patients achieving resolution compared with ACPA-negative patients [IRR 1.52 (95% CI 1.07, 2.15), P = 0.018]. Although correlation coefficients between changes in patient burden and subclinical joint inflammation during progression to IA were weak, they were consistently higher in ACPA-positive than ACPA-negative disease, e.g. ρ = 0.29 vs 0.12 for functional disabilities. CONCLUSION During RA development and CSA resolution, ACPA-positive CSA patients have lower patient burden but more subclinical joint inflammation than ACPA-negative CSA patients. These data strengthen the notion that the development of ACPA-positive and ACPA-negative RA is pathophysiologically different and encourage further research on these differences.
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Affiliation(s)
- Sarah J H Khidir
- Department of Rheumatology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Doortje I Krijbolder
- Department of Rheumatology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Herman K Glas
- Department of Rheumatology, Reumazorg ZWN, Goes, The Netherlands
| | - Elise van Mulligen
- Department of Rheumatology, Leiden University Medical Centre, Leiden, The Netherlands
- Department of Rheumatology, Erasmus Medical Centre, Rotterdam, 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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2
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Sysojev AÖ, Saevarsdottir S, Diaz-Gallo LM, Silberberg GN, Alfredsson L, Klareskog L, Baecklund E, Björkman L, Kastbom A, Rantapää-Dahlqvist S, Turesson C, Jonsdottir I, Stefansson K, Frisell T, Padyukov L, Askling J, Westerlind H. Genome-wide investigation of persistence with methotrexate treatment in early rheumatoid arthritis. Rheumatology (Oxford) 2024; 63:1221-1229. [PMID: 37326842 PMCID: PMC11065441 DOI: 10.1093/rheumatology/kead301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 05/12/2023] [Accepted: 06/06/2023] [Indexed: 06/17/2023] Open
Abstract
OBJECTIVES To investigate the influence of genetic factors on persistence with treatment of early RA with MTX monotherapy. METHODS We conducted a genome-wide association study (GWAS) in a sample of 3902 Swedish early-RA patients initiating MTX in DMARD monotherapy as their first-ever DMARD. The outcome, short- and long-term MTX treatment persistence, was defined as remaining on MTX at 1 and at 3 years, respectively, with no additional DMARDs added. As genetic predictors, we investigated individual SNPs, and then calculated a polygenic risk score (PRS) based on SNPs associated with RA risk. The SNP-based heritability of persistence was estimated overall and by RA serostatus. RESULTS No individual SNP reached genome-wide significance (P < 5 × 10-8), either for persistence at 1 year or at 3 years. The RA PRS was not significantly associated with MTX treatment persistence at 1 year [relative risk (RR) = 0.98 (0.96-1.01)] or at 3 years [RR = 0.96 (0.93-1.00)]. The heritability of MTX treatment persistence was estimated to be 0.45 (0.15-0.75) at 1 year and 0.14 (0-0.40) at 3 years. The results in seropositive RA were comparable with those in the analysis of RA overall, while heritability estimates and PRS RRs were attenuated towards the null in seronegative RA. CONCLUSION Despite being the largest GWAS on an MTX treatment outcome to date, no genome-wide significant associations were detected. The modest heritability observed, coupled with the broad spread of suggestively associated loci, indicate that genetic influence is of polygenic nature. Nevertheless, MTX monotherapy persistence was lower in patients with a greater genetic disposition, per the PRS, towards RA.
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Affiliation(s)
- Anton Öberg Sysojev
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Saedis Saevarsdottir
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- deCODE Genetics Inc, Reykjavik, Iceland
| | - Lina-Marcela Diaz-Gallo
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
- Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Gilad N Silberberg
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
- Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Lars Alfredsson
- Institute of Environmental Medicine (IMM), Karolinska Institute, Stockholm, Sweden
| | - Lars Klareskog
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
- Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Eva Baecklund
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Lena Björkman
- Department of Rheumatology and Inflammation Research, University of Göteborg, Göteborg, Sweden
| | - Alf Kastbom
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | | | - Carl Turesson
- Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Ingileif Jonsdottir
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- deCODE Genetics Inc, Reykjavik, Iceland
| | - Kari Stefansson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
- deCODE Genetics Inc, Reykjavik, Iceland
| | - Thomas Frisell
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
- Center for Molecular Medicine, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
| | - Johan Askling
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Helga Westerlind
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institute, Stockholm, Sweden
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Wang X, Kong Y, Li Z. Advantages of Chinese herbal medicine in treating rheumatoid arthritis: a focus on its anti-inflammatory and anti-oxidative effects. Front Med (Lausanne) 2024; 11:1371461. [PMID: 38515982 PMCID: PMC10954842 DOI: 10.3389/fmed.2024.1371461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 02/27/2024] [Indexed: 03/23/2024] Open
Abstract
Oxidative stress is a condition characterized by an imbalance between the oxidative and antioxidant processes within the human body. Rheumatoid arthritis (RA) is significantly influenced by the presence of oxidative stress, which acts as a pivotal factor in its pathogenesis. Elevated levels of mitochondrial reactive oxygen species (ROS) and inflammation have been found to be closely associated in the plasma of patients with RA. The clinical treatment strategies for this disease are mainly chemical drugs, such as nonsteroidal anti-inflammatory drugs (NSAIDs), disease-modifying anti-rheumatic drugs (DMARDs), glucocorticoids (GCs) and biological agents, but it is difficult for patients to accept long-term drug treatment and its side effects. In the theory of traditional Chinese medicine (TCM), RA is thought to be caused by the attack of "wind, cold, damp humor," and herbs with the effect of removing wind and dampness are used to relieve pain. Chinese herbal medicine boasts a rich heritage in effectively attenuating the symptoms of RA, and its global recognition continues to ascend. In particular, RA-relevant anti-inflammatory/anti-oxidative effects of TCM herbs/herbal compounds. The main aim of this review is to make a valuable contribution to the expanding pool of evidence that advocates for the incorporation of Chinese herbal medicine in conventional treatment plans for RA.
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Affiliation(s)
- Xiaoyu Wang
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Youqian Kong
- Graduate School, Heilongjiang University of Chinese Medicine, Harbin, China
| | - Zeguang Li
- First Affiliated Hospital, Heilongjiang University of Chinese Medicine, Harbin, China
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4
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Neys SFH, Heutz JW, van Hulst JAC, Vink M, Bergen IM, de Jong PHP, Lubberts E, Hendriks RW, Corneth OBJ. Aberrant B cell receptor signaling in circulating naïve and IgA + memory B cells from newly-diagnosed autoantibody-positive rheumatoid arthritis patients. J Autoimmun 2024; 143:103168. [PMID: 38350168 DOI: 10.1016/j.jaut.2024.103168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 01/08/2024] [Accepted: 01/12/2024] [Indexed: 02/15/2024]
Abstract
OBJECTIVE Altered B cell receptor (BCR) signaling has been implicated in the pathogenesis of rheumatoid arthritis (RA). Here we aimed to identify signaling aberrations in autoantibody-positive and autoantibody-negative RA patients by performing a comprehensive analysis of the BCR signaling cascade in different B cell subsets. METHODS We first optimized phosphoflow cytometry for an in-depth analysis of BCR signaling across immunoglobulin isotypes in healthy donors. Subsequently, we compared BCR signaling in circulating B cell subsets from treatment-naïve, newly-diagnosed autoantibody-positive RA and autoantibody-negative RA patients and healthy controls (HCs). RESULTS We observed subset-specific phosphorylation patterns of the BCR signalosome in circulating B cells from healthy donors. Compared with HCs, autoantibody-positive RA patients displayed enhanced responses to BCR stimulation for multiple signaling proteins, specifically in naïve and IgA+ memory B cells. Whereas in unstimulated healthy donor B cells, the phosphorylation status of individual signaling proteins showed only limited correlation, BCR stimulation enhanced the interconnectivity in phosphorylation within the BCR signalosome. However, this strong interconnectivity within the BCR signalosome in stimulated B cells from HCs was lost in RA, especially in autoantibody-positive RA patients. Finally, we observed strong correlations between SYK and BTK protein expression, and IgA and IgG anti-citrullinated protein antibody concentrations in serum from autoantibody-positive RA patients. CONCLUSION Collectively, the isotype-specific analysis of multiple key components of the BCR signalosome identified aberrant BCR signaling responses in treatment-naïve autoantibody-positive RA patients, particularly in naïve B cells and IgA+ memory B cells. Our findings support differential involvement of dysregulated BCR signaling in the pathogenesis of autoantibody-positive and autoantibody-negative RA.
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Affiliation(s)
- Stefan F H Neys
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Judith W Heutz
- Department of Rheumatology, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | | | - Madelief Vink
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Ingrid M Bergen
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Pascal H P de Jong
- Department of Rheumatology, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Erik Lubberts
- Department of Rheumatology, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Rudi W Hendriks
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands
| | - Odilia B J Corneth
- Department of Pulmonary Medicine, Erasmus MC Rotterdam, Rotterdam, the Netherlands.
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5
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Sagawa F, Yamada H, Ayano M, Kimoto Y, Mitoma H, Ono N, Arinobu Y, Kondo M, Nakashima Y, Akashi K, Horiuchi T, Niiro H. Determination of the factors associated with antigen-specific CD4+ T-cell responses to BNT162b2 in patients with rheumatoid arthritis. RMD Open 2024; 10:e003693. [PMID: 38216287 PMCID: PMC10806600 DOI: 10.1136/rmdopen-2023-003693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Accepted: 12/19/2023] [Indexed: 01/14/2024] Open
Abstract
OBJECTIVES Understanding interpatient variation in CD4+T-cell responses is the bases for understanding the pathogenesis and management of rheumatoid arthritis (RA). We examined immune responses to SARS-CoV-2 vaccine in a cohort of patients with RA and determined factors associated with the responses. METHODS Four hundred and thirty-one patients with RA having received two doses of BNT162b2, a messenger RNA-based vaccine for SARS-CoV-2, were included. Vaccine antigen-specific IgG was detected by ELISA, and antigen-specific CD4+T cells were detected by CD154 expression in response to antigenic stimulation. Expression of cytokines was concomitantly detected by intracellular staining. Associations among background variables, antigen-specific antibody production and the CD4+T-cell responses were analysed. Unsupervised hierarchical clustering was performed based on the profiles of antigen-specific cytokine production by CD4+T cells to stratify patients with RA. RESULTS Multivariate analysis indicated that ageing negatively affects CD4+T-cell response as well as antibody production. No association was detected between the presence or the levels of rheumatoid factor/anti-cyclic citrullinated peptide antibody and anti-vaccine immune responses. Methotrexate and prednisolone reduced B cell but not T-cell responses. Conventional immunophenotyping by the expression of chemokine receptors was not associated with the actual CD4+T-cell response, except for T helper cells (Th1). Functional immunophenotyping based on the profiles of antigen-specific cytokine production of CD4+T cells stratified patients with RA into three clusters, among which Th1-dominant type less frequently underwent joint surgery. CONCLUSIONS Clinical and immunological variables that are associated with antigen-specific CD4 T-cell responses in patients with RA were determined by analysing immune responses against SARS-CoV-2 vaccine.
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Affiliation(s)
- Fumiaki Sagawa
- Department of Medicine and Biosystemic Science, Kyushu University, Fukuoka, Japan
| | - Hisakata Yamada
- Department of Clinical Immunology, Faculty of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Masahiro Ayano
- Department of Medicine and Biosystemic Science, Kyushu University, Fukuoka, Japan
| | - Yasutaka Kimoto
- Department of Internal Medicine, Kyushu University Beppu Hospital, Beppu, Japan
| | - Hiroki Mitoma
- Department of Medicine and Biosystemic Science, Kyushu University, Fukuoka, Japan
| | - Nobuyuki Ono
- Department of Medicine and Biosystemic Science, Kyushu University, Fukuoka, Japan
| | - Yojiro Arinobu
- Department of Medicine and Biosystemic Science, Kyushu University, Fukuoka, Japan
| | - Masakazu Kondo
- Kondo Clinic for Rheumatology and Orthopaedics, Fukuoka, Japan
| | | | - Koichi Akashi
- Department of Medicine and Biosystemic Science, Kyushu University, Fukuoka, Japan
| | | | - Hiroaki Niiro
- Department of Medical Education, Kyushu University, Fukuoka, Japan
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Yang C, Hu Z, Wang L, Fang L, Wang X, Li Q, Xu L, Wang J, Liu C, Lin N. Porphyromonas gingivalis with collagen immunization induces ACPA-positive rheumatoid arthritis in C3H mice. Clin Immunol 2024; 258:109859. [PMID: 38065368 DOI: 10.1016/j.clim.2023.109859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 11/06/2023] [Accepted: 11/29/2023] [Indexed: 12/22/2023]
Abstract
The pathogenic anti-citrullinated protein antibodies (ACPA) are thought to play a vital role in the initiation and immune maintenance of rheumatoid arthritis (RA). However, it is noteworthy that ACPA is not a salient characteristic of any conventional RA animal model. Porphyromonas gingivalis (Pg) is the first microorganism identified to induce citrullination and a target of autoantibodies in early rheumatoid arthritis (RA). Thus, we employed C3H mice with specific MHC types and combined Pg infection with collagen immunity to develop an animal model of ACPA-positive RA. The resulting model exhibited citrullination characteristics, as well as pathological and immune cell changes. 1) Mice showed a significant increase in ACPA levels, and various organs and tissues exhibited elevated levels of citrullinated protein. 2) The mice experienced heightened pain, inflammation, and bone destruction. 3) The spleen and lymph nodes of the mice showed a significant increase in the proportion of Tfh-GCB cell subpopulations responsible for regulating autoantibody production. In conclusion, the C3H mouse model of Pg infection with collagen immunity demonstrated significant alterations in ACPA levels, citrullinated protein expression, and immune cell subpopulations, which could be a crucial factor leading to increased pain, inflammation, and bone destruction.
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Affiliation(s)
- Chao Yang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Zhixing Hu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lili Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Luochangting Fang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaoxiao Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qun Li
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Liting Xu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Jialin Wang
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China
| | - Chunfang Liu
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
| | - Na Lin
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing, China.
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7
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Wu L, Chen J. Type 3 IP3 receptor: Its structure, functions, and related disease implications. Channels (Austin) 2023; 17:2267416. [PMID: 37818548 PMCID: PMC10569359 DOI: 10.1080/19336950.2023.2267416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 10/02/2023] [Indexed: 10/12/2023] Open
Abstract
Cell-fate decisions depend on the precise and strict regulation of multiple signaling molecules and transcription factors, especially intracellular Ca2+ homeostasis and dynamics. Type 3 inositol 1,4,5-triphosphate receptor (IP3R3) is an a tetrameric channel that can mediate the release of Ca2+ from the endoplasmic reticulum (ER) in response to extracellular stimuli. The gating of IP3R3 is regulated not only by ligands but also by other interacting proteins. To date, extensive research conducted on the basic structure of IP3R3, as well as its regulation by ligands and interacting proteins, has provided novel perspectives on its biological functions and pathogenic mechanisms. This review aims to discuss recent advancements in the study of IP3R3 and provides a comprehensive overview of the relevant literature pertaining to its structure, biological functions, and pathogenic mechanisms.
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Affiliation(s)
- Lvying Wu
- Institute of Clinical Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jin Chen
- Institute of Clinical Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
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Venetsanopoulou AI, Alamanos Y, Voulgari PV, Drosos AA. Epidemiology and Risk Factors for Rheumatoid Arthritis Development. Mediterr J Rheumatol 2023; 34:404-413. [PMID: 38282942 PMCID: PMC10815538 DOI: 10.31138/mjr.301223.eaf] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 10/24/2023] [Accepted: 10/31/2023] [Indexed: 01/30/2024] Open
Abstract
Rheumatoid arthritis (RA) is a prevalent chronic inflammatory arthritis worldwide, significantly impacting patients and population health. The disease affects women primarily, with a female-to-male ratio of three to one. Its pathogenesis is multifactorial, including genetic and environmental risk factors. Epidemiological studies highlight the link between the environment and genetic susceptibility to RA. The so-called shared epitope is the most significant risk factor that seems to act synergetic with other environmental factors in the disease occurrence. In addition, recent findings suggest a potential role of new substantial environmental factors, such as the observed pollution of the planet's natural resources, on the susceptibility and progression of the disease. This review summarises the most decisive evidence on epidemiology and genetic, environmental, and lifestyle risk factors for RA. It shows that studying genetic and environmental factors in correlation could lead to prevention strategies that may impact the natural history of the disease.
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Affiliation(s)
- Aliki I. Venetsanopoulou
- Department of Rheumatology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Yannis Alamanos
- Institute of Epidemiology, Preventive Medicine and Public Health, Corfu, Greece
| | - Paraskevi V. Voulgari
- Department of Rheumatology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Alexandros A. Drosos
- Department of Rheumatology, School of Health Sciences, Faculty of Medicine, University of Ioannina, Ioannina, Greece
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Martín Monreal MT, Hansen BE, Iversen PF, Enevold C, Ødum N, Sellebjerg F, Højrup P, Rode von Essen M, Nielsen CH. Citrullination of myelin basic protein induces a Th17-cell response in healthy individuals and enhances the presentation of MBP85-99 in patients with multiple sclerosis. J Autoimmun 2023; 139:103092. [PMID: 37506490 DOI: 10.1016/j.jaut.2023.103092] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Revised: 06/21/2023] [Accepted: 07/11/2023] [Indexed: 07/30/2023]
Abstract
The post-translational modification citrullination has been proposed to play a role in the pathogenesis of multiple sclerosis (MS). Myelin basic protein (MBP) is a candidate autoantigen which is citrullinated to a minor extent under physiological conditions and hypercitrullinated in MS. We examined immune cell responses elicited by hypercitrullinated MBP (citMBP) in cultures of mononuclear cells from 18 patients with MS and 42 healthy donors (HDs). The immunodominant peptide of MBP, MBP85-99, containing citrulline in position 99, outcompeted the binding of native MBP85-99 to HLA-DR15, which is strongly linked to MS. Moreover, using the monoclonal antibody MK16 as probe, we observed that B cells and monocytes from HLA-DR15+ patients with MS presented MBP85-99 more efficiently after challenge with citMBP than with native MBP. Both citMBP and native MBP induced proliferation of CD4+ T cells from patients with MS as well as TNF-α production by their B cells and CD4+ T cells, and citrullination of MBP tended to enhance TNF-α secretion by CD4+ T cells from HLA-DR15+ patients. Unlike native MBP, citMBP induced differentiation into Th17 cells in cultures from HDs, while neither form of MBP induced Th17-cell differentiation in cultures from patients with MS. These data suggest a role for citrullination in the breach of tolerance to MBP in healthy individuals and in maintenance of the autoimmune response to MBP in patients with MS.
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Affiliation(s)
- María Teresa Martín Monreal
- Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Pernille F Iversen
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Christian Enevold
- Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Niels Ødum
- LEO Foundation Skin Immunology Research Center, Department of Immunology and Microbiology, University of Copenhagen, Copenhagen, Denmark
| | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark; Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Peter Højrup
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense, Denmark
| | - Marina Rode von Essen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Claus H Nielsen
- Institute for Inflammation Research, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark; Section for Periodontology, Department of Odontology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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10
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Jahid M, Khan KU, Rehan-Ul-Haq, Ahmed RS. Overview of Rheumatoid Arthritis and Scientific Understanding of the Disease. Mediterr J Rheumatol 2023; 34:284-291. [PMID: 37941854 PMCID: PMC10628871 DOI: 10.31138/mjr.20230801.oo] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/08/2023] [Accepted: 02/13/2023] [Indexed: 11/10/2023] Open
Abstract
Rheumatoid arthritis (RA), a chronic inflammatory autoimmune disorder, is characterised by persistent synovial inflammation, erosion of bones and cartilage, leading to joint destruction. Clinical manifestations are morning stiffness, pain in shoulder, neck and pelvic girdle, loss of mobility with fever, fatigue, malaise, loss of body weight, and development of rheumatoid nodules. Environmental and genetic factors are important contributors in its susceptibility. Association between RA and diet, cigarette smoking, hormones, alcohol, microbiota, infection, and coffee have also been reported. To diagnose patients with RA, American college of rheumatology (ACR, 2010) criteria, developed by European league against rheumatism (EULAR). Inflammation produced in RA patients is due to cell-mediated immune response. The rheumatoid synovium consists of a large number of CD4+ T cells suggesting pathogenic nature of T cells in this disorder. B-cells may also participate in the pathogenesis by several means such as autoantibodies, by instigation of T-cells through expression of co-stimulatory molecules, by generating pro-inflammatory and anti-inflammatory cytokines and by organisation of other inflammatory cells. The conventional management of RA usually focuses over reducing pain and limiting the disability by medical therapies which include a number of classes of agents such as non-steroidal anti-inflammatory drugs (NSAIDs), non-biological and biological agents, disease-modifying anti rheumatic drugs (DMARDs), immunosuppressants, and corticosteroids. However, only proper rehabilitation can promote the objective to achieve the joint functionality and ease of motion which improves independence as well as quality of life in patient suffering from Rheumatoid Arthritis.
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Affiliation(s)
- Mohd Jahid
- Department of Biochemistry, University College of Medical Sciences and GTB Hospital (University of Delhi), Dilshad Garden, Delhi, India
| | - Karim Ullah Khan
- Department of Orthopaedics, University College of Medical Sciences and GTB Hospital (University of Delhi), Dilshad Garden, Delhi, India
| | - Rehan-Ul-Haq
- Department of Orthopaedics, All India Institute of Medical Sciences (AIIMS) Bhopal, India
| | - Rafat Sultana Ahmed
- Department of Biochemistry, University College of Medical Sciences and GTB Hospital (University of Delhi), Dilshad Garden, Delhi, India
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11
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Sakaue S, Gurajala S, Curtis M, Luo Y, Choi W, Ishigaki K, Kang JB, Rumker L, Deutsch AJ, Schönherr S, Forer L, LeFaive J, Fuchsberger C, Han B, Lenz TL, de Bakker PIW, Okada Y, Smith AV, Raychaudhuri S. Tutorial: a statistical genetics guide to identifying HLA alleles driving complex disease. Nat Protoc 2023; 18:2625-2641. [PMID: 37495751 PMCID: PMC10786448 DOI: 10.1038/s41596-023-00853-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Accepted: 04/27/2023] [Indexed: 07/28/2023]
Abstract
The human leukocyte antigen (HLA) locus is associated with more complex diseases than any other locus in the human genome. In many diseases, HLA explains more heritability than all other known loci combined. In silico HLA imputation methods enable rapid and accurate estimation of HLA alleles in the millions of individuals that are already genotyped on microarrays. HLA imputation has been used to define causal variation in autoimmune diseases, such as type I diabetes, and in human immunodeficiency virus infection control. However, there are few guidelines on performing HLA imputation, association testing, and fine mapping. Here, we present a comprehensive tutorial to impute HLA alleles from genotype data. We provide detailed guidance on performing standard quality control measures for input genotyping data and describe options to impute HLA alleles and amino acids either locally or using the web-based Michigan Imputation Server, which hosts a multi-ancestry HLA imputation reference panel. We also offer best practice recommendations to conduct association tests to define the alleles, amino acids, and haplotypes that affect human traits. Along with the pipeline, we provide a step-by-step online guide with scripts and available software ( https://github.com/immunogenomics/HLA_analyses_tutorial ). This tutorial will be broadly applicable to large-scale genotyping data and will contribute to defining the role of HLA in human diseases across global populations.
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Affiliation(s)
- Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Saisriram Gurajala
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Michelle Curtis
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Kennedy Institute of Rheumatology, University of Oxford, Oxford, UK
| | - Wanson Choi
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
| | - Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Joyce B Kang
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Laurie Rumker
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Aaron J Deutsch
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Diabetes Unit, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
- Program in Metabolism, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Sebastian Schönherr
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Lukas Forer
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
| | - Jonathon LeFaive
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Christian Fuchsberger
- Institute of Genetic Epidemiology, Department of Genetics, Medical University of Innsbruck, Innsbruck, Austria
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Institute for Biomedicine, Eurac Research, Bolzano, Italy
| | - Buhm Han
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea
- Interdisciplinary Program in Bioengineering, Seoul National University, Seoul, South Korea
| | - Tobias L Lenz
- Research Unit for Evolutionary Immunogenomics, Department of Biology, University of Hamburg, Hamburg, Germany
| | - Paul I W de Bakker
- Data and Computational Sciences, Vertex Pharmaceuticals, Boston, MA, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Albert V Smith
- Center for Statistical Genetics, University of Michigan School of Public Health, Ann Arbor, MI, USA
- Department of Biostatistics, University of Michigan School of Public Health, Ann Arbor, MI, USA
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Divisions of Genetics and Rheumatology, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, University of Manchester, Manchester, UK.
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12
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Jiang Y, Liu Q, Alfredsson L, Klareskog L, Kockum I, Jiang X. A genome-wide cross-trait analysis identifies genomic correlation, pleiotropic loci, and causal relationship between sex hormone-binding globulin and rheumatoid arthritis. Hum Genomics 2023; 17:81. [PMID: 37644603 PMCID: PMC10466838 DOI: 10.1186/s40246-023-00528-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 08/21/2023] [Indexed: 08/31/2023] Open
Abstract
BACKGROUND Our study aims to investigate an intrinsic link underlying sex hormone-binding globulin (SHBG) and rheumatoid arthritis (RA), which remains inconclusive in observational settings. METHODS Summary statistics were collected from the largest GWAS(s) on SHBG adjusted for BMI (SHBGadjBMI; Noverall = 368,929; Nmen = 180,094; Nwomen = 188,908), crude SHBG (Noverall = 370,125; Nmen = 180,726; Nwomen = 189,473), and RA (Ncase = 22,350; Ncontrol = 74,823). A genome-wide cross-trait design was performed to quantify global and local genetic correlation, identify pleiotropic loci, and infer a causal relationship. RESULTS Among the overall population, a significant global genetic correlation was observed for SHBGadjBMI and RA ([Formula: see text] = 0.11, P = 1.0 × 10-4) which was further supported by local signal (1q25.2). A total of 18 independent pleiotropic SNPs were identified, of which three were highly likely causal variants and four were found to have effects on both traits through gene expression mediation. A putative causal association of SHBGadjBMI on RA was demonstrated (OR = 1.20, 95% CI = 1.01-1.43) without evidence of reverse causality (OR = 0.999, 95% CI = 0.997-1.000). Sex-specific analyses revealed distinct shared genetic regions (men: 1q32.1-q32.2 and 5p13.1; women: 1q25.2 and 22q11.21-q11.22) and diverse pleiotropic SNPs (16 in men and 18 in women, nearly half were sex-specific) underlying SHBGadjBMI and RA, demonstrating biological disparities between sexes. Replacing SHBGadjBMI with crude SHBG, a largely similar yet less significant pattern of results was observed. CONCLUSION Our cross-trait analysis suggests an intrinsic, as well as a sex-specific, link underlying SHBG and RA, providing novel insights into disease etiology.
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Affiliation(s)
- Yuan Jiang
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Visionsgatan 18, 171 77, Solna, Stockholm, Sweden
| | - Qianwen Liu
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Visionsgatan 18, 171 77, Solna, Stockholm, Sweden
| | - Lars Alfredsson
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Visionsgatan 18, 171 77, Solna, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Solna, Stockholm, Sweden
| | - Lars Klareskog
- Department of Medicine, Karolinska Institutet, Solna, Stockholm, Sweden
| | - Ingrid Kockum
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Visionsgatan 18, 171 77, Solna, Stockholm, Sweden
| | - Xia Jiang
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, Visionsgatan 18, 171 77, Solna, Stockholm, Sweden.
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China.
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13
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Chen YC, Huang CM, Liu TY, Wu N, Chan CJ, Shih PY, Chen HH, Chen SY, Tsai FJ. Effects of Human Leukocyte Antigen DRB1 Genetic Polymorphism on Anti-Cyclic Citrullinated Peptide (ANTI-CCP) and Rheumatoid Factor (RF) Expression in Rheumatoid Arthritis (RA) Patients. Int J Mol Sci 2023; 24:12036. [PMID: 37569411 PMCID: PMC10418683 DOI: 10.3390/ijms241512036] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 07/14/2023] [Accepted: 07/21/2023] [Indexed: 08/13/2023] Open
Abstract
Rheumatoid arthritis (RA) is a systemic disease characterized by non-infectious inflammation of the joints and surrounding tissues, which can cause severe health problems, affect the patient's daily life, and even cause death. RA can be clinically diagnosed by the occurrence of blood serological markers, rheumatoid factor (RF) and anti-cyclic citrullinated peptide antibody (anti-CCP). However, about 20% of RA patients exhibit negative results for both markers, which makes RA diagnosis difficult and, therefore, may delay the effective treatment. Previous studies found some evidence that human leukocyte antigen (HLA)-related genes might be the susceptibility genes for RA and their polymorphisms might contribute to varieties of susceptibility and disease severity. This study aimed for the genetic polymorphisms of the RA patient genome and their effects on the RA patient's serological makers, RF and anti-CCP. A total of 4580 patients' electronic medical records from 1992 to 2020 were retrieved from the China Medical University Hospital database. The most representative single-nucleotide polymorphisms (SNPs) were identified through a genome-wide association study (GWAS) followed by enzyme-linked immunosorbent assay (ELISA) validation using the blood from 30 additional RA patients. The results showed significant changes at the position of chromosome 6 with rs9270481 being the most significant locus, which indicated the location of the HLA-DRB1 gene. Further, patients with the CC genotype at this locus were more likely to exhibit negative results for RF and anti-CCP than those with the TT genotype. The C allele was also more likely to be associated with negative results for RF and anti-CCP. The results demonstrated that a genetic polymorphism at rs9270481 affected the expression of RF and anti-CCP in RA patients, which might indicate the necessity to develop a personalized treatment plan for each individual patient based on the genetic profile.
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Affiliation(s)
- Yu-Chia Chen
- Million-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan; (Y.-C.C.); (T.-Y.L.)
| | - Chung-Ming Huang
- Division of Immunology and Rheumatology, Department of Internal Medicine, China Medical University Hospital, Taichung 404, Taiwan;
- School of Chinese Medicine, China Medical University, Taichung 404, Taiwan
| | - Ting-Yuan Liu
- Million-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan; (Y.-C.C.); (T.-Y.L.)
| | - Ning Wu
- Department of Biological Sciences, Southeastern Oklahoma State University, Durant, OK 74701, USA;
| | - Chia-Jung Chan
- Genetics Center, Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan; (C.-J.C.); (P.-Y.S.)
| | - Peng-Yu Shih
- Genetics Center, Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan; (C.-J.C.); (P.-Y.S.)
| | - Hsin-Han Chen
- Division of Plastic and Reconstructive Surgery, China Medical University Hospital, Taichung 404, Taiwan;
| | - Shih-Yin Chen
- School of Chinese Medicine, China Medical University, Taichung 404, Taiwan
- Genetics Center, Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan; (C.-J.C.); (P.-Y.S.)
| | - Fuu-Jen Tsai
- School of Chinese Medicine, China Medical University, Taichung 404, Taiwan
- Genetics Center, Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan; (C.-J.C.); (P.-Y.S.)
- Department of Medical Genetics, China Medical University Hospital, Taichung 404, Taiwan
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14
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Trier NH, Houen G. Anti-citrullinated protein antibodies as biomarkers in rheumatoid arthritis. Expert Rev Mol Diagn 2023; 23:895-911. [PMID: 37578277 DOI: 10.1080/14737159.2023.2247986] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 07/15/2023] [Accepted: 08/10/2023] [Indexed: 08/15/2023]
Abstract
INTRODUCTION The serological biomarker anti-citrullinated protein antibodies (ACPAs) may have several functions but is especially important for the diagnosis of rheumatoid arthritis (RA) along with clinical symptoms. AREAS COVERED This review provides an overview of ACPAs, which are useful in RA diagnostics and may improve our understanding of disease etiology. PubMed was searched with combinations of words related to antibodies recognizing epitopes containing the post-translationally modified amino acid citrulline in combination with rheumatoid arthritis; cyclic citrullinated peptide, CCP, anti-CCP, anti-citrullinated protein antibodies, ACPA, citrullination, peptide/protein arginine deiminase, PAD, filaggrin, vimentin, keratin, collagen, perinuclear factor, EBNA1, EBNA2, and others. From this search, we made a qualitative extract of publications relevant to the discovery, characterization, and clinical use of these antibodies in relation to RA. We highlight significant findings and identify areas for improvement. EXPERT OPINION ACPAs have high diagnostic sensitivity and specificity for RA and recognize citrullinated epitopes from several proteins. The best-performing single epitope originates from Epstein-Barr Virus nuclear antigen 2 and contains a central Cit-Gly motif, which is recognized by ACPAS when located in a flexible peptide structure. In addition, ACPAs may also have prognostic value, especially in relation to early treatment, although ACPAs' main function is to aid in the diagnosis of RA.
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Affiliation(s)
| | - Gunnar Houen
- Department of Neurology, Rigshospitalet Glostrup, Glostrup, Denmark
- Department of Biochemistry and Molecular Biology, University of Southern Denmark, Odense M, Denmark
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15
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Xiong Y, Kullberg S, Garman L, Pezant N, Ellinghaus D, Vasila V, Eklund A, Rybicki BA, Iannuzzi MC, Schreiber S, Müller-Quernheim J, Montgomery CG, Grunewald J, Padyukov L, Rivera NV. Sex differences in the genetics of sarcoidosis across European and African ancestry populations. Front Med (Lausanne) 2023; 10:1132799. [PMID: 37250650 PMCID: PMC10213734 DOI: 10.3389/fmed.2023.1132799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Accepted: 04/10/2023] [Indexed: 05/31/2023] Open
Abstract
Background Sex differences in the susceptibility of sarcoidosis are unknown. The study aims to identify sex-dependent genetic variations in two clinical sarcoidosis phenotypes: Löfgren's syndrome (LS) and non-Löfgren's syndrome (non-LS). Methods A meta-analysis of genome-wide association studies was conducted on Europeans and African Americans, totaling 10,103 individuals from three population-based cohorts, Sweden (n = 3,843), Germany (n = 3,342), and the United States (n = 2,918), followed by an SNP lookup in the UK Biobank (UKB, n = 387,945). A genome-wide association study based on Immunochip data consisting of 141,000 single nucleotide polymorphisms (SNPs) was conducted in the sex groups. The association test was based on logistic regression using the additive model in LS and non-LS sex groups independently. Additionally, gene-based analysis, gene expression, expression quantitative trait loci (eQTL) mapping, and pathway analysis were performed to discover functionally relevant mechanisms related to sarcoidosis and biological sex. Results We identified sex-dependent genetic variations in LS and non-LS sex groups. Genetic findings in LS sex groups were explicitly located in the extended Major Histocompatibility Complex (xMHC). In non-LS, genetic differences in the sex groups were primarily located in the MHC class II subregion and ANXA11. Gene-based analysis and eQTL enrichment revealed distinct sex-specific gene expression patterns in various tissues and immune cell types. In LS sex groups, a pathway map related to antigen presentation machinery by IFN-gamma. In non-LS, pathway maps related to immune response lectin-induced complement pathway in males and related to maturation and migration of dendritic cells in skin sensitization in females were identified. Conclusion Our findings provide new evidence for a sex bias underlying sarcoidosis genetic architecture, particularly in clinical phenotypes LS and non-LS. Biological sex likely plays a role in disease mechanisms in sarcoidosis.
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Affiliation(s)
- Ying Xiong
- Respiratory Medicine Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Susanna Kullberg
- Respiratory Medicine Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Respiratory Medicine and Allergy, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Lori Garman
- Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Nathan Pezant
- Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - David Ellinghaus
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Vasiliki Vasila
- Respiratory Medicine Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Anders Eklund
- Department of Respiratory Medicine and Allergy, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
| | - Benjamin A. Rybicki
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, United States
| | - Michael C. Iannuzzi
- Zucker School of Medicine, Staten Island University Hospital, Northwell/Hofstra University, Staten Island, NY, United States
| | - Stefan Schreiber
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
- Clinic for Internal Medicine I, University Hospital Schleswig-Holstein, Kiel, Germany
| | - Joachim Müller-Quernheim
- Department of Pneumology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg im Breisgau, Germany
| | - Courtney G. Montgomery
- Genes and Human Disease, Oklahoma Medical Research Foundation, Oklahoma City, OK, United States
| | - Johan Grunewald
- Respiratory Medicine Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Department of Respiratory Medicine and Allergy, Theme Inflammation and Ageing, Karolinska University Hospital, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Leonid Padyukov
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Natalia V. Rivera
- Respiratory Medicine Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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16
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Cunningham KY, Hur B, Gupta VK, Arment CA, Wright KA, Mason TG, Peterson LS, Bekele DI, Schaffer DE, Bailey ML, Delger KE, Crowson CS, Myasoedova E, Zeng H, Rodriguez M, Weyand CM, Davis JM, Sung J. Patients with ACPA-positive and ACPA-negative rheumatoid arthritis show different serological autoantibody repertoires and autoantibody associations with disease activity. Sci Rep 2023; 13:5360. [PMID: 37005480 PMCID: PMC10066987 DOI: 10.1038/s41598-023-32428-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/27/2023] [Indexed: 04/04/2023] Open
Abstract
Patients with rheumatoid arthritis (RA) can test either positive or negative for circulating anti-citrullinated protein antibodies (ACPA) and are thereby categorized as ACPA-positive (ACPA+) or ACPA-negative (ACPA-), respectively. In this study, we aimed to elucidate a broader range of serological autoantibodies that could further explain immunological differences between patients with ACPA+ RA and ACPA- RA. On serum collected from adult patients with ACPA+ RA (n = 32), ACPA- RA (n = 30), and matched healthy controls (n = 30), we used a highly multiplex autoantibody profiling assay to screen for over 1600 IgG autoantibodies that target full-length, correctly folded, native human proteins. We identified differences in serum autoantibodies between patients with ACPA+ RA and ACPA- RA compared with healthy controls. Specifically, we found 22 and 19 autoantibodies with significantly higher abundances in ACPA+ RA patients and ACPA- RA patients, respectively. Among these two sets of autoantibodies, only one autoantibody (anti-GTF2A2) was common in both comparisons; this provides further evidence of immunological differences between these two RA subgroups despite sharing similar symptoms. On the other hand, we identified 30 and 25 autoantibodies with lower abundances in ACPA+ RA and ACPA- RA, respectively, of which 8 autoantibodies were common in both comparisons; we report for the first time that the depletion of certain autoantibodies may be linked to this autoimmune disease. Functional enrichment analysis of the protein antigens targeted by these autoantibodies showed an over-representation of a range of essential biological processes, including programmed cell death, metabolism, and signal transduction. Lastly, we found that autoantibodies correlate with Clinical Disease Activity Index, but associate differently depending on patients' ACPA status. In all, we present candidate autoantibody biomarker signatures associated with ACPA status and disease activity in RA, providing a promising avenue for patient stratification and diagnostics.
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Affiliation(s)
- Kevin Y Cunningham
- Bioinformatics and Computational Biology Program, University of Minnesota Twin Cities, Minneapolis, MN, 55455, USA
| | - Benjamin Hur
- Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Division of Surgery Research, Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Vinod K Gupta
- Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Division of Surgery Research, Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA
| | - Courtney A Arment
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Kerry A Wright
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Thomas G Mason
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Lynne S Peterson
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Delamo I Bekele
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Daniel E Schaffer
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Marissa L Bailey
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Kara E Delger
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Cynthia S Crowson
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
| | - Elena Myasoedova
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, 55905, USA
| | - Hu Zeng
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Moses Rodriguez
- Department of Neurology, Mayo Clinic, Rochester, MN, 55905, USA
| | - Cornelia M Weyand
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, 55905, USA
| | - John M Davis
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA
| | - Jaeyun Sung
- Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
- Division of Surgery Research, Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA.
- Division of Rheumatology, Department of Medicine, Mayo Clinic, Rochester, MN, 55905, USA.
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17
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Signaling pathways in rheumatoid arthritis: implications for targeted therapy. Signal Transduct Target Ther 2023; 8:68. [PMID: 36797236 PMCID: PMC9935929 DOI: 10.1038/s41392-023-01331-9] [Citation(s) in RCA: 81] [Impact Index Per Article: 81.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 12/16/2022] [Accepted: 01/18/2023] [Indexed: 02/18/2023] Open
Abstract
Rheumatoid arthritis (RA) is an incurable systemic autoimmune disease. Disease progression leads to joint deformity and associated loss of function, which significantly impacts the quality of life for sufferers and adds to losses in the labor force. In the past few decades, RA has attracted increased attention from researchers, the abnormal signaling pathways in RA are a very important research field in the diagnosis and treatment of RA, which provides important evidence for understanding this complex disease and developing novel RA-linked intervention targets. The current review intends to provide a comprehensive overview of RA, including a general introduction to the disease, historical events, epidemiology, risk factors, and pathological process, highlight the primary research progress of the disease and various signaling pathways and molecular mechanisms, including genetic factors, epigenetic factors, summarize the most recent developments in identifying novel signaling pathways in RA and new inhibitors for treating RA. therapeutic interventions including approved drugs, clinical drugs, pre-clinical drugs, and cutting-edge therapeutic technologies. These developments will hopefully drive progress in new strategically targeted therapies and hope to provide novel ideas for RA treatment options in the future.
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18
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Ponchel F, Duquenne L, Xie X, Corscadden D, Shuweihdi F, Mankia K, Trouw LA, Emery P. Added value of multiple autoantibody testing for predicting progression to inflammatory arthritis in at-risk individuals. RMD Open 2022; 8:rmdopen-2022-002512. [PMID: 36535711 PMCID: PMC9764647 DOI: 10.1136/rmdopen-2022-002512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 08/22/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Predicting progression to clinical arthritis in individuals at-risk of developing rheumatoid arthritis is a prerequisite to developing stratification groups for prevention strategies. Selecting accurate predictive criteria is the critical step to define the population at-risk. While positivity for anti-citrullinated protein antibodies (ACPA) remains the main recruitment biomarker, positivity for other autoantibodies (AutoAbs) identified before the onset of symptoms, may provide additional predictive accuracy for stratification. OBJECTIVE To perform a multiple AutoAbs analysis for both the prediction and the time of progression to inflammatory arthritis (IA). METHODS 392 individuals were recruited based on a new musculoskeletal complaint and positivity for ACPA or rheumatoid factor (RF). ELISAs were performed for ACPA, RF, anti-nuclear Ab, anti-carbamylated protein (anti-CarP) and anti-collagen AutoAbs. Logistic and COX regression were used for analysis. RESULTS Progression to IA was observed in 125/392 (32%) of cases, of which 78 progressed within 12 months. The AutoAbs ACPA, RF, anti-CarP were individually associated with progression (p<0.0001) and improved prediction when combined with demographic/clinical data (Accuracy >77%; area under the curve (AUC) >0.789), compared with prediction using only demographic/clinical data (72.9%, AUC=0.760). Multiple AutoAbs testing provided added value, with +6.4% accuracy for number of positive AutoAbs (AUC=0.852); +5.4% accuracy for AutoAbs levels (ACPA/anti-CarP, AUC=0.832); and +6.2% accuracy for risk-groups based on high/low levels (ACPA/RF/anti-CarP, AUC=0.837). Time to imminent progression was best predicted using ACPA/anti-CarP levels (AUC=0.779), while the number of positive AutoAbs was/status/risk were as good (AUC=0.778). CONCLUSION We confirm added value of multiple AutoAbs testing for identifying progressors to clinical disease, allowing more specific stratification for intervention studies.
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Affiliation(s)
- Frederique Ponchel
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Laurence Duquenne
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Xuanxiao Xie
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Diane Corscadden
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Farag Shuweihdi
- Leeds Institute of Health Sciences, Faculty of Medicine, University of Leeds, Leeds, UK
| | - K Mankia
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - L A Trouw
- Department of Immunology, Leiden University Medical Center, Leiden, Netherlands
| | - Paul Emery
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK,Leeds NIHR Biomedical Research Centre, Leeds Teaching Hospitals Trust, Leeds, UK
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19
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Turcinov S, Af Klint E, Van Schoubroeck B, Kouwenhoven A, Mia S, Chemin K, Wils H, Van Hove C, De Bondt A, Keustermans K, Van Houdt J, Reumers J, Felix N, Rao NL, Peeters P, Stevenaert F, Klareskog L, McKinnon M, Baker D, Suri A, Malmström V. Diversity and Clonality of T Cell Receptor Repertoire and Antigen Specificities in Small Joints of Early Rheumatoid Arthritis. Arthritis Rheumatol 2022; 75:673-684. [PMID: 36409582 DOI: 10.1002/art.42407] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 07/17/2022] [Accepted: 11/08/2022] [Indexed: 11/23/2022]
Abstract
OBJECTIVE CD4+ T cells are implicated in rheumatoid arthritis (RA) pathology from the strong association between RA and certain HLA class II gene variants. This study was undertaken to examine the synovial T cell receptor (TCR) repertoire, T cell phenotypes, and T cell specificities in small joints of RA patients at time of diagnosis before therapeutic intervention. METHODS Sixteen patients, of whom 11 patients were anti-citrullinated protein antibody (ACPA)-positive and 5 patients were ACPA-, underwent ultrasound-guided synovial biopsy of a small joint (n = 13) or arthroscopic synovial biopsy of a large joint (n = 3), followed by direct sorting of single T cells for paired sequencing of the αβ TCR together with flow cytometry analysis. TCRs from expanded CD4+ T cell clones of 4 patients carrying an HLA-DRB1*04:01 allele were artificially reexpressed to study antigen specificity. RESULTS T cell analysis demonstrated CD4+ dominance and the presence of peripheral helper T-like cells in both patient groups. We identified >4,000 unique TCR sequences, as well as 225 clonal expansions. Additionally, T cells with double α-chains were a recurring feature. We identified a biased gene usage of the Vβ chain segment TRBV20-1 in CD4+ cells from ACPA+ patients. In vitro stimulation of T cell lines expressing selected TCRs with an extensive panel of citrullinated and viral peptides identified several different virus-specific TCRs (e.g., human cytomegalovirus and human herpesvirus 2). Still, the majority of clones remained orphans with unknown specificity. CONCLUSION Minimally invasive biopsies of the RA synovium allow for single-cell TCR sequencing and phenotyping. Clonally expanded, viral-reactive T cells account for part of the diverse CD4+ T cell repertoire. TRBV20-1 bias in ACPA+ patients suggests recognition of common antigens.
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Affiliation(s)
- Sara Turcinov
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital and Karolinska Institutet, and Theme of Inflammation and Ageing, Medical Unit Gastro, Derma, Rheuma, Karolinska University Hospital, Solna, Sweden
| | - Erik Af Klint
- Theme of Inflammation and Ageing, Medical Unit Gastro, Derma, Rheuma, Karolinska University Hospital, Solna, Sweden
| | | | | | - Sohel Mia
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital and Karolinska Institutet, Solna, Sweden
| | - Karine Chemin
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital and Karolinska Institutet, Solna, Sweden
| | - Hans Wils
- Janssen Research and Development, Beerse, Belgium
| | | | - An De Bondt
- Janssen Research and Development, Beerse, Belgium
| | | | | | - Joke Reumers
- Janssen Research and Development, Beerse, Belgium
| | - Nathan Felix
- Janssen Research and Development, Spring House, Pennsylvania
| | - Navin L Rao
- Janssen Research and Development, Horsham, Pennsylvania
| | | | | | - Lars Klareskog
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital and Karolinska Institutet, Solna, Sweden
| | | | - Daniel Baker
- Janssen Research and Development, Spring House, Pennsylvania
| | - Anish Suri
- Janssen Research and Development, Beerse, Belgium
| | - Vivianne Malmström
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital and Karolinska Institutet, Solna, Sweden
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20
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Szostak B, Gorący A, Pala B, Rosik J, Ustianowski Ł, Pawlik A. Latest models for the discovery and development of rheumatoid arthritis drugs. Expert Opin Drug Discov 2022; 17:1261-1278. [PMID: 36184990 DOI: 10.1080/17460441.2022.2131765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
INTRODUCTION Rheumatoid arthritis (RA) is a chronic autoimmune disease that reduces the quality of life. The current speed of development of therapeutic agents against RA is not satisfactory. Models on which initial experiments are conducted do not fully reflect human pathogenesis. Overcoming this oversimplification might be a crucial step to accelerate studies on RA treatment. AREAS COVERED The current approaches to produce novel models or to improve currently available models for the development of RA drugs have been discussed. Advantages and drawbacks of two- and three-dimensional cell cultures and animal models have been described based on recently published results of the studies. Moreover, approaches such as tissue engineering or organ-on-a-chip have been reviewed. EXPERT OPINION The cell cultures and animal models used to date appear to be of limited value due to the complexity of the processes involved in RA. Current models in RA research should take into account the heterogeneity of patients in terms of disease subtypes, course, and activity. Several advanced models and tools using human cells and tissues have been developed, including three-dimensional tissues, liquid bioreactors, and more complex joint-on-a-chip devices. This may increase knowledge of the molecular mechanisms leading to disease development, to help identify new biomarkers for early detection, and to develop preventive strategies and more effective treatments.
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Affiliation(s)
- Bartosz Szostak
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Anna Gorący
- Department of Clinical and Molecular Biochemistry, Pomeranian Medical University, Szczecin, Poland
| | - Bartłomiej Pala
- Department of Neurosurgery, Pomeranian Medical University Hospital No. 1, Szczecin, Poland
| | - Jakub Rosik
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland.,Department of Chemistry, The University of Chicago, Chicago, IL, USA
| | - Łukasz Ustianowski
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
| | - Andrzej Pawlik
- Department of Physiology, Pomeranian Medical University, Szczecin, Poland
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21
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Ishigaki K, Sakaue S, Terao C, Luo Y, Sonehara K, Yamaguchi K, Amariuta T, Too CL, Laufer VA, Scott IC, Viatte S, Takahashi M, Ohmura K, Murasawa A, Hashimoto M, Ito H, Hammoudeh M, Emadi SA, Masri BK, Halabi H, Badsha H, Uthman IW, Wu X, Lin L, Li T, Plant D, Barton A, Orozco G, Verstappen SMM, Bowes J, MacGregor AJ, Honda S, Koido M, Tomizuka K, Kamatani Y, Tanaka H, Tanaka E, Suzuki A, Maeda Y, Yamamoto K, Miyawaki S, Xie G, Zhang J, Amos CI, Keystone E, Wolbink G, van der Horst-Bruinsma I, Cui J, Liao KP, Carroll RJ, Lee HS, Bang SY, Siminovitch KA, de Vries N, Alfredsson L, Rantapää-Dahlqvist S, Karlson EW, Bae SC, Kimberly RP, Edberg JC, Mariette X, Huizinga T, Dieudé P, Schneider M, Kerick M, Denny JC, Matsuda K, Matsuo K, Mimori T, Matsuda F, Fujio K, Tanaka Y, Kumanogoh A, Traylor M, Lewis CM, Eyre S, Xu H, Saxena R, Arayssi T, Kochi Y, Ikari K, Harigai M, Gregersen PK, Yamamoto K, Louis Bridges S, Padyukov L, Martin J, Klareskog L, Okada Y, Raychaudhuri S. Multi-ancestry genome-wide association analyses identify novel genetic mechanisms in rheumatoid arthritis. Nat Genet 2022; 54:1640-1651. [PMID: 36333501 PMCID: PMC10165422 DOI: 10.1038/s41588-022-01213-w] [Citation(s) in RCA: 92] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2021] [Accepted: 09/26/2022] [Indexed: 11/06/2022]
Abstract
Rheumatoid arthritis (RA) is a highly heritable complex disease with unknown etiology. Multi-ancestry genetic research of RA promises to improve power to detect genetic signals, fine-mapping resolution and performances of polygenic risk scores (PRS). Here, we present a large-scale genome-wide association study (GWAS) of RA, which includes 276,020 samples from five ancestral groups. We conducted a multi-ancestry meta-analysis and identified 124 loci (P < 5 × 10-8), of which 34 are novel. Candidate genes at the novel loci suggest essential roles of the immune system (for example, TNIP2 and TNFRSF11A) and joint tissues (for example, WISP1) in RA etiology. Multi-ancestry fine-mapping identified putatively causal variants with biological insights (for example, LEF1). Moreover, PRS based on multi-ancestry GWAS outperformed PRS based on single-ancestry GWAS and had comparable performance between populations of European and East Asian ancestries. Our study provides several insights into the etiology of RA and improves the genetic predictability of RA.
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Affiliation(s)
- Kazuyoshi Ishigaki
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Laboratory for Human Immunogenetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Saori Sakaue
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Chikashi Terao
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Clinical Research Center, Shizuoka General Hospital, Shizuoka, Japan
- The Department of Applied Genetics, The School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka, Japan
| | - Yang Luo
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Kyuto Sonehara
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
| | - Kensuke Yamaguchi
- Department of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Tiffany Amariuta
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, CA, USA
- Department of Medicine, University of California San Diego, La Jolla, CA, USA
| | - Chun Lai Too
- Immunogenetics Unit, Allergy and Immunology Research Center, Institute for Medical Research, National Institutes of Health Complex, Ministry of Health, Kuala Lumpur, Malaysia
- Department of Medicine, Division of Rheumatology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Vincent A Laufer
- Department of Clinical Immunology and Rheumatology, University of Alabama at Birmingham School of Medicine, Birmingham, AL, USA
- Department of Pathology, Michigan Medicine, Ann Arbor, MI, USA
| | - Ian C Scott
- Haywood Academic Rheumatology Centre, Haywood Hospital, Midlands Partnership NHS Foundation Trust, Burslem, UK
- Primary Care Centre Versus Arthritis, School of Medicine, Keele University, Keele, UK
| | - Sebastien Viatte
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Lydia Becker Institute of Immunology and Inflammation, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Foundation Trust, Manchester, UK
| | - Meiko Takahashi
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Akira Murasawa
- Department of Rheumatology, Niigata Rheumatic Center, Niigata, Japan
| | - Motomu Hashimoto
- Department of Advanced Medicine for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Clinical Immunology, Graduate School of Medicine, Osaka City University, Osaka, Japan
| | - Hiromu Ito
- Department of Advanced Medicine for Rheumatic Diseases, Kyoto University Graduate School of Medicine, Kyoto, Japan
- Department of Orthopaedic Surgery, Kurashiki Central Hospital, Kurashiki, Japan
| | - Mohammed Hammoudeh
- Rheumatology Division, Department of Internal Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Samar Al Emadi
- Rheumatology Division, Department of Internal Medicine, Hamad Medical Corporation, Doha, Qatar
| | - Basel K Masri
- Department of Internal Medicine, Jordan Hospital, Amman, Jordan
| | - Hussein Halabi
- Section of Rheumatology, Department of Internal Medicine, King Faisal Specialist Hospital and Research Center, Jeddah, Saudi Arabia
| | - Humeira Badsha
- Dr. Humeira Badsha Medical Center, Emirates Hospital, Dubai, United Arab Emirates
| | - Imad W Uthman
- Department of Rheumatology, American University of Beirut, Beirut, Lebanon
| | - Xin Wu
- Department of Rheumatology and Immunology, Shanghai Changzeng Hospital, The Second Military Medical University, Shanghai, China
| | - Li Lin
- Department of Rheumatology and Immunology, Shanghai Changzeng Hospital, The Second Military Medical University, Shanghai, China
| | - Ting Li
- Department of Rheumatology and Immunology, Shanghai Changzeng Hospital, The Second Military Medical University, Shanghai, China
| | - Darren Plant
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Anne Barton
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Foundation Trust, Manchester, UK
| | - Gisela Orozco
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Foundation Trust, Manchester, UK
| | - Suzanne M M Verstappen
- NIHR Manchester Biomedical Research Centre, Manchester University Foundation Trust, Manchester, UK
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, The University of Manchester, Manchester, UK
| | - John Bowes
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Foundation Trust, Manchester, UK
| | | | - Suguru Honda
- Institute of Rheumatology, Tokyo Women's Medical University Hospital, Tokyo, Japan
- Department of Rheumatology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Masaru Koido
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Kohei Tomizuka
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yoichiro Kamatani
- Laboratory for Statistical and Translational Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Laboratory of Complex Trait Genomics, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Hiroaki Tanaka
- The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Japan
| | - Eiichi Tanaka
- Institute of Rheumatology, Tokyo Women's Medical University Hospital, Tokyo, Japan
- Department of Rheumatology, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Akari Suzuki
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Yuichi Maeda
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Immunopathology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Kenichi Yamamoto
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
- Department of Pediatrics, Osaka University Graduate School of Medicine, Suita, Japan
| | - Satoru Miyawaki
- Department of Neurosurgery, Faculty of Medicine, the University of Tokyo, Tokyo, Japan
| | - Gang Xie
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
| | - Jinyi Zhang
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | | | | | - Gertjan Wolbink
- Department of Rheumatology, Amsterdam Rheumatology and Immunology Center (ARC), Reade, Amsterdam, the Netherlands
| | - Irene van der Horst-Bruinsma
- Department of Rheumatology & Clinical Immunology/ARC, Amsterdam Institute for Infection and Immunity, Amsterdam UMC location Vrije Universiteit, Amsterdam, the Netherlands
| | - Jing Cui
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Katherine P Liao
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, MA, USA
| | - Robert J Carroll
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Hye-Soon Lee
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
- Hanyang University Institute for Rheumatology Research, Seoul, Korea
| | - So-Young Bang
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
- Hanyang University Institute for Rheumatology Research, Seoul, Korea
| | - Katherine A Siminovitch
- Lunenfeld-Tanenbaum Research Institute, Toronto, Ontario, Canada
- Departments of Medicine and Immunology, University of Toronto, Toronto, Ontario, Canada
| | - Niek de Vries
- Department of Rheumatology & Clinical Immunology/ARC, Amsterdam Institute for Infection and Immunity, Amsterdam UMC location AMC/University of Amsterdam, Amsterdam, the Netherlands
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | | | - Elizabeth W Karlson
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
- Hanyang University Institute for Rheumatology Research, Seoul, Korea
| | - Robert P Kimberly
- Center for Clinical and Translational Science, Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jeffrey C Edberg
- Center for Clinical and Translational Science, Division of Clinical Immunology and Rheumatology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Xavier Mariette
- Department of Rheumatology, Université Paris-Saclay, Assistance Pubique - Hôpitaux de Paris, Hôpital Bicêtre, INSERM UMR1184, Le Kremlin Bicêtre, France
| | - Tom Huizinga
- Leiden University Medical Center, Leiden, the Netherlands
| | - Philippe Dieudé
- University of Paris Cité, Inserm, PHERE, F-75018, Paris, France
- Department of Rheumatology, Hôpital Bichat, APHP, Paris, France
| | - Matthias Schneider
- Department of Rheumatology & Hiller Research Unit Rheumatology, UKD, Heinrich-Heine University, Düsseldorf, Germany
| | - Martin Kerick
- Institute of Parasitology and Biomedicine Lopez-Neyra, CSIC, Granada, Spain
| | - Joshua C Denny
- Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN, USA
- All of Us Research Program, Office of the Director, National Institutes of Health, Bethesda, MD, USA
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN, USA
| | - Koichi Matsuda
- Laboratory of Genome Technology, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
- Laboratory of Clinical Genome Sequencing, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Department of Preventive Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan
- Department of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Tsuneyo Mimori
- Department of Rheumatology and Clinical immunology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Fumihiko Matsuda
- Center for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Keishi Fujio
- Department of Allergy and Rheumatology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Yoshiya Tanaka
- The First Department of Internal Medicine, School of Medicine, University of Occupational and Environmental Health Japan, Kitakyushu, Japan
| | - Atsushi Kumanogoh
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Department of Respiratory Medicine and Clinical Immunology, Osaka University Graduate School of Medicine, Suita, Japan
- Department of Immunopathology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Matthew Traylor
- Department of Medical & Molecular Genetics, King's College London, London, UK
- Department of Genetics, Novo Nordisk Research Centre Oxford, Oxford, UK
- Clinical Pharmacology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Cathryn M Lewis
- Department of Medical & Molecular Genetics, King's College London, London, UK
- Social, Genetic and Developmental Psychiatry Centre, King's College London, London, UK
| | - Stephen Eyre
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University Foundation Trust, Manchester, UK
| | - Huji Xu
- Department of Rheumatology and Immunology, Shanghai Changzeng Hospital, The Second Military Medical University, Shanghai, China
- School of Clinical Medicine Tsinghua University, Beijing, China
- Peking-Tsinghua Center for Life Sciences, Tsinghua University, Beijing, China
| | - Richa Saxena
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA
| | - Thurayya Arayssi
- Department of Internal Medicine, Weill Cornell Medicine-Qatar, Education City, Doha, Qatar
| | - Yuta Kochi
- Department of Genomic Function and Diversity, Medical Research Institute, Tokyo Medical and Dental University, Tokyo, Japan
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Katsunori Ikari
- Institute of Rheumatology, Tokyo Women's Medical University Hospital, Tokyo, Japan
- Department of Orthopedic Surgery, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
- Division of Multidisciplinary Management of Rheumatic Diseases, Tokyo Women's Medical University, Tokyo, Japan
| | - Masayoshi Harigai
- Institute of Rheumatology, Tokyo Women's Medical University Hospital, Tokyo, Japan
- Division of Rheumatology, Department of Internal Medicine, Tokyo Women's Medical University School of Medicine, Tokyo, Japan
| | - Peter K Gregersen
- Robert S. Boas Center for Genomics and Human Genetics, Feinstein Institutes for Medical Research, Northwell Health, Manhasset, NY, USA
| | - Kazuhiko Yamamoto
- Laboratory for Autoimmune Diseases, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - S Louis Bridges
- Department of Medicine, Hospital for Special Surgery, New York, NY, USA
- Division of Rheumatology, Weill Cornell Medicine, New York, NY, USA
| | - Leonid Padyukov
- Department of Medicine, Division of Rheumatology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Javier Martin
- Institute of Parasitology and Biomedicine Lopez-Neyra, CSIC, Granada, Spain
| | - Lars Klareskog
- Department of Medicine, Division of Rheumatology, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan.
- Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan.
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan.
- Laboratory for Systems Genetics, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
- Center for Infectious Disease Education and Research (CiDER), Osaka University, Suita, Japan.
- Department of Genome Informatics, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
| | - Soumya Raychaudhuri
- Center for Data Sciences, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
- Division of Rheumatology, Inflammation, and Immunity, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Centre for Genetics and Genomics Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK.
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22
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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: 2.0] [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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23
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Barbarroja N, Ruiz-Ponce M, Cuesta-López L, Pérez-Sánchez C, López-Pedrera C, Arias-de la Rosa I, Collantes-Estévez E. Nonalcoholic fatty liver disease in inflammatory arthritis: Relationship with cardiovascular risk. Front Immunol 2022; 13:997270. [PMID: 36211332 PMCID: PMC9539434 DOI: 10.3389/fimmu.2022.997270] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022] Open
Abstract
Liver disease is one of the most important causes of morbidity and mortality worldwide whose prevalence is dramatically increasing. The first sign of hepatic damage is inflammation which could be accompanied by the accumulation of fat called non-alcoholic fatty liver disease (NAFLD), causing damage in the hepatocytes. This stage can progress to fibrosis where the accumulation of fibrotic tissue replaces healthy tissue reducing liver function. The next stage is cirrhosis, a late phase of fibrosis where a high percentage of liver tissue has been replaced by fibrotic tissue and liver functionality is substantially impaired. There is a close interplay of cardiovascular disease (CVD) and hepatic alterations, where different mechanisms mediating this relation between the liver and systemic vasculature have been described. In chronic inflammatory diseases such as rheumatoid arthritis (RA) and psoriatic arthritis (PsA), in which the CVD risk is high, hepatic alterations seem to be more prevalent compared to the general population and other rheumatic disorders. The pathogenic mechanisms involved in the development of this comorbidity are still unraveled, although chronic inflammation, autoimmunity, treatments, and metabolic deregulation seem to have an important role. In this review, we will discuss the involvement of liver disease in the cardiovascular risk associated with inflammatory arthritis, the pathogenic mechanisms, and the recognized factors involved. Likewise, monitoring of the liver disease risk in routine clinical practice through both, classical and novel techniques and indexes will be exposed. Finally, we will examine the latest controversies that have been raised about the effects of the current therapies used to control the inflammation in RA and PsA, in the liver damage of those patients, such as methotrexate, leflunomide or biologics.
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24
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Li K, Wang M, Zhao L, Liu Y, Zhang X. ACPA-negative rheumatoid arthritis: From immune mechanisms to clinical translation. EBioMedicine 2022; 83:104233. [PMID: 36027873 PMCID: PMC9404277 DOI: 10.1016/j.ebiom.2022.104233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 07/13/2022] [Accepted: 08/05/2022] [Indexed: 11/28/2022] Open
Abstract
The presence of anti-citrullinated protein autoantibodies (ACPA) is a hallmark feature of rheumatoid arthritis (RA), which causes chronic joint destruction and systemic inflammation. Based on ACPA status, RA patients can be sub-grouped into two major subsets: ACPA-positive RA (ACPA+ RA) and ACPA-negative RA (ACPA– RA). Accumulating evidence have suggested that ACPA+ RA and ACPA– RA are two distinct disease entities with different underlying pathophysiology. In contrast to the well-characterized pathogenic mechanisms of ACPA+ RA, the etiology of ACPA– RA remains largely unknown. In this review, we summarized current knowledge about the primary drivers of ACPA– RA, particularly focusing on the serological, cellular, and molecular aspects of immune mechanisms. A better understanding of the immunopathogenesis in ACPA– RA will help in designing more precisely targeting strategies, and paving the road to personalized treatment. In addition, identification of novel biomarkers in ACPA– RA will substantially promote early treatment and improve the outcomes.
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Affiliation(s)
- Ketian Li
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Clinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China
| | - Min Wang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Clinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China
| | - Lidan Zhao
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China
| | - Yudong Liu
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Clinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China; The Key Laboratory of Geriatrics, Beijing Institute of Geriatrics, Beijing Hospital, National Center of Gerontology, National Health Commission, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing 100730, PR China.
| | - Xuan Zhang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Clinical Immunology Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, PR China.
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25
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Romão VC, Fonseca JE. Disease mechanisms in preclinical rheumatoid arthritis: A narrative review. Front Med (Lausanne) 2022; 9:689711. [PMID: 36059838 PMCID: PMC9437632 DOI: 10.3389/fmed.2022.689711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 08/04/2022] [Indexed: 11/20/2022] Open
Abstract
In the last decades, the concept of preclinical rheumatoid arthritis (RA) has become established. In fact, the discovery that disease mechanisms start years before the onset of clinical RA has been one of the major recent insights in the understanding of RA pathogenesis. In accordance with the complex nature of the disease, preclinical events extend over several sequential phases. In a genetically predisposed host, environmental factors will further increase susceptibility for incident RA. In the initial steps of preclinical disease, immune disturbance mechanisms take place outside the joint compartment, namely in mucosal surfaces, such as the lung, gums or gut. Herein, the persistent immunologic response to altered antigens will lead to breach of tolerance and trigger autoimmunity. In a second phase, the immune response matures and is amplified at a systemic level, with epitope spreading and widening of the autoantibody repertoire. Finally, the synovial and bone compartment are targeted by specific autoantibodies against modified antigens, initiating a local inflammatory response that will eventually culminate in clinically evident synovitis. In this review, we discuss the elaborate disease mechanisms in place during preclinical RA, providing a broad perspective in the light of current evidence.
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Affiliation(s)
- Vasco C. Romão
- Rheumatology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon Academic Medical Centre and European Reference Network on Rare Connective Tissue and Musculoskeletal Diseases Network (ERN-ReCONNET), Lisbon, Portugal
- Rheumatology Research Unit, Faculdade de Medicina, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisbon, Portugal
| | - João Eurico Fonseca
- Rheumatology Research Unit, Faculdade de Medicina, Instituto de Medicina Molecular João Lobo Antunes, Universidade de Lisboa, Lisbon, Portugal
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26
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Tizaoui K, Shin JI, Jeong GH, Yang JW, Park S, Kim JH, Hwang SY, Park SJ, Koyanagi A, Smith L. Genetic Polymorphism of PTPN22 in Autoimmune Diseases: A Comprehensive Review. Medicina (B Aires) 2022; 58:medicina58081034. [PMID: 36013501 PMCID: PMC9415475 DOI: 10.3390/medicina58081034] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/23/2022] [Accepted: 07/26/2022] [Indexed: 12/04/2022] Open
Abstract
It is known that the etiology and clinical outcomes of autoimmune diseases are associated with a combination of genetic and environmental factors. In the case of the genetic factor, the SNPs of the PTPN22 gene have shown strong associations with several diseases. The recent exploding numbers of genetic studies have made it possible to find these associations rapidly, and a variety of autoimmune diseases were found to be associated with PTPN22 polymorphisms. Proteins encoded by PTPN22 play a key role in the adaptative and immune systems by regulating both T and B cells. Gene variants, particularly SNPs, have been shown to significantly disrupt several immune functions. In this review, we summarize the mechanism of how PTPN22 and its genetic variants are involved in the pathophysiology of autoimmune diseases. In addition, we sum up the findings of studies reporting the genetic association of PTPN22 with different types of diseases, including type 1 diabetes mellitus, systemic lupus erythematosus, juvenile idiopathic arthritis, and several other diseases. By understanding these findings comprehensively, we can explain the complex etiology of autoimmunity and help to determine the criteria of disease diagnosis and prognosis, as well as medication developments.
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Affiliation(s)
- Kalthoum Tizaoui
- Department of Basic Sciences, Division of Histology and Immunology, Faculty of Medicine Tunis, Tunis El Manar University, Tunis 2092, Tunisia;
| | - Jae Il Shin
- Department of Pediatrics, Yonsei University College of Medicine, Seoul 03722, Korea;
| | - Gwang Hun Jeong
- College of Medicine, Gyeongsang National University, Jinju 52727, Korea;
| | - Jae Won Yang
- Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju 26426, Korea;
| | - Seoyeon Park
- Yonsei University College of Medicine, Seoul 06273, Korea; (S.P.); (S.Y.H.)
| | - Ji Hong Kim
- Department of Pediatrics, Yonsei University College of Medicine, Seoul 03722, Korea;
- Correspondence: ; Tel.: +82-2-2019-3352; Fax: +82-2-3461-9473
| | - Soo Young Hwang
- Yonsei University College of Medicine, Seoul 06273, Korea; (S.P.); (S.Y.H.)
| | - Se Jin Park
- Department of Pediatrics, Eulji University School of Medicine, Daejeon 35233, Korea;
| | - Ai Koyanagi
- Research and Development Unit, Parc Sanitari Sant Joan de Déu, CIBERSAM, Dr. Antoni Pujadas, 42, Sant Boi de Llobregat, 08830 Barcelona, Spain;
- ICREA, Pg. Lluis Companys 23, 08010 Barcelona, Spain
| | - Lee Smith
- Centre for Health Performance and Wellbeing, Anglia Ruskin University, Cambridge CB1 1PT, UK;
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27
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Saevarsdottir S, Stefansdottir L, Sulem P, Thorleifsson G, Ferkingstad E, Rutsdottir G, Glintborg B, Westerlind H, Grondal G, Loft IC, Sorensen SB, Lie BA, Brink M, Ärlestig L, Arnthorsson AO, Baecklund E, Banasik K, Bank S, Bjorkman LI, Ellingsen T, Erikstrup C, Frei O, Gjertsson I, Gudbjartsson DF, Gudjonsson SA, Halldorsson GH, Hendricks O, Hillert J, Hogdall E, Jacobsen S, Jensen DV, Jonsson H, Kastbom A, Kockum I, Kristensen S, Kristjansdottir H, Larsen MH, Linauskas A, Hauge EM, Loft AG, Ludviksson BR, Lund SH, Markusson T, Masson G, Melsted P, Moore KHS, Munk H, Nielsen KR, Norddahl GL, Oddsson A, Olafsdottir TA, Olason PI, Olsson T, Ostrowski SR, Hørslev-Petersen K, Rognvaldsson S, Sanner H, Silberberg GN, Stefansson H, Sørensen E, Sørensen IJ, Turesson C, Bergman T, Alfredsson L, Kvien TK, Brunak S, Steinsson K, Andersen V, Andreassen OA, Rantapää-Dahlqvist S, Hetland ML, Klareskog L, Askling J, Padyukov L, Pedersen OB, Thorsteinsdottir U, Jonsdottir I, Stefansson K. Multiomics analysis of rheumatoid arthritis yields sequence variants that have large effects on risk of the seropositive subset. Ann Rheum Dis 2022; 81:1085-1095. [PMID: 35470158 PMCID: PMC9279832 DOI: 10.1136/annrheumdis-2021-221754] [Citation(s) in RCA: 29] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2021] [Accepted: 04/04/2022] [Indexed: 11/17/2022]
Abstract
OBJECTIVES To find causal genes for rheumatoid arthritis (RA) and its seropositive (RF and/or ACPA positive) and seronegative subsets. METHODS We performed a genome-wide association study (GWAS) of 31 313 RA cases (68% seropositive) and ~1 million controls from Northwestern Europe. We searched for causal genes outside the HLA-locus through effect on coding, mRNA expression in several tissues and/or levels of plasma proteins (SomaScan) and did network analysis (Qiagen). RESULTS We found 25 sequence variants for RA overall, 33 for seropositive and 2 for seronegative RA, altogether 37 sequence variants at 34 non-HLA loci, of which 15 are novel. Genomic, transcriptomic and proteomic analysis of these yielded 25 causal genes in seropositive RA and additional two overall. Most encode proteins in the network of interferon-alpha/beta and IL-12/23 that signal through the JAK/STAT-pathway. Highlighting those with largest effect on seropositive RA, a rare missense variant in STAT4 (rs140675301-A) that is independent of reported non-coding STAT4-variants, increases the risk of seropositive RA 2.27-fold (p=2.1×10-9), more than the rs2476601-A missense variant in PTPN22 (OR=1.59, p=1.3×10-160). STAT4 rs140675301-A replaces hydrophilic glutamic acid with hydrophobic valine (Glu128Val) in a conserved, surface-exposed loop. A stop-mutation (rs76428106-C) in FLT3 increases seropositive RA risk (OR=1.35, p=6.6×10-11). Independent missense variants in TYK2 (rs34536443-C, rs12720356-C, rs35018800-A, latter two novel) associate with decreased risk of seropositive RA (ORs=0.63-0.87, p=10-9-10-27) and decreased plasma levels of interferon-alpha/beta receptor 1 that signals through TYK2/JAK1/STAT4. CONCLUSION Sequence variants pointing to causal genes in the JAK/STAT pathway have largest effect on seropositive RA, while associations with seronegative RA remain scarce.
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Affiliation(s)
- Saedis Saevarsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland .,Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Medicine, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | | | | | | | | | | | - Bente Glintborg
- The DANBIO registry, the Danish Rheumatologic Biobank and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Helga Westerlind
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Gerdur Grondal
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Medicine, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland.,Center for Rheumatology Research, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Isabella C Loft
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Signe Bek Sorensen
- Molecular Diagnostics and Clinical Research Unit, IRS-Center Sonderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark
| | - Benedicte A Lie
- Department of Medical Genetics, University of Oslo, Oslo, Norway.,Oslo University Hospital, Oslo, Norway
| | - Mikael Brink
- Department of Public Health and Clinical Medicine, Rheumatology, Umeå University, Umeå, Sweden
| | - Lisbeth Ärlestig
- Department of Public Health and Clinical Medicine, Rheumatology, Umeå University, Umeå, Sweden
| | | | - Eva Baecklund
- Department of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden
| | - Karina Banasik
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Steffen Bank
- Molecular Diagnostics and Clinical Research Unit, IRS-Center Sonderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark
| | - Lena I Bjorkman
- Department of Rheumatology and Inflammation research, University of Gothenburg, Gothenburg, Sweden
| | - Torkell Ellingsen
- OPEN Explorative Network, University of Southern Denmark, Odense, Denmark.,Rheumatology Research Unit, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway.,Center for Bioinformatics, Department of Informatics, University of Oslo, Oslo, Norway
| | - Inger Gjertsson
- Department of Rheumatology and Inflammation Research, Gothenburg University, Gothenburg, Sweden
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Gisli H Halldorsson
- deCODE genetics/Amgen, Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Oliver Hendricks
- Danish Hospital for Rheumatic Diseases, University Hospital of Southern Denmark, Sønderborg, Denmark.,Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
| | - Jan Hillert
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Estrid Hogdall
- Department of Pathology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Søren Jacobsen
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Copenhagen Lupus and Vasculitis Clinic, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark
| | - Dorte Vendelbo Jensen
- Department of Rheumatology, Center for Rheumatology and Spine Diseases, Gentofte and Herlev Hospital, Rønne, Denmark
| | - Helgi Jonsson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Medicine, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Alf Kastbom
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Ingrid Kockum
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Salome Kristensen
- Department of Rheumatology, Aalborg University Hospital, Aalborg, Denmark.,Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Helga Kristjansdottir
- Center for Rheumatology Research, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Margit H Larsen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Asta Linauskas
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.,Department of Rheumatology, North Denmark Regional Hospital, Hjørring, Denmark
| | - Ellen-Margrethe Hauge
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Anne G Loft
- Department of Rheumatology, Aarhus University Hospital, Aarhus, Denmark.,Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Bjorn R Ludviksson
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Immunology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | | | - Thorsteinn Markusson
- deCODE genetics/Amgen, Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Pall Melsted
- deCODE genetics/Amgen, Reykjavik, Iceland.,School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Heidi Munk
- OPEN Explorative Network, University of Southern Denmark, Odense, Denmark.,Rheumatology Research Unit, Odense University Hospital and University of Southern Denmark, Odense, Denmark
| | - Kaspar R Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | | | | | - Thorunn A Olafsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | | | - Tomas Olsson
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden
| | - Sisse Rye Ostrowski
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.,Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Kim Hørslev-Petersen
- Danish Hospital for Rheumatic Diseases, University Hospital of Southern Denmark, Sønderborg, Denmark
| | | | - Helga Sanner
- Section of Rheumatology, Oslo University Hospital, Oslo, Norway.,Oslo New University College, Oslo, Norway
| | - Gilad N Silberberg
- Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | | | - Erik Sørensen
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Inge J Sørensen
- Copenhagen Lupus and Vasculitis Clinic, Center for Rheumatology and Spine Diseases, Rigshospitalet, Copenhagen, Denmark
| | - Carl Turesson
- Rheumatology, Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
| | - Thomas Bergman
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Lars Alfredsson
- Department of Clinical Neurosciences, Karolinska Institutet, Stockholm, Sweden.,Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tore K Kvien
- University of Oslo, Oslo, Norway.,Diakonhjemmet Hospital, Oslo, Norway
| | - Søren Brunak
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Kristján Steinsson
- Center for Rheumatology Research, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Vibeke Andersen
- Molecular Diagnostics and Clinical Research Unit, IRS-Center Sonderjylland, University Hospital of Southern Denmark, Aabenraa, Denmark.,OPEN Explorative Network, University of Southern Denmark, Odense, Denmark.,Institute of Molecular Medicine, University of Southern Denmark, Odense, Denmark
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.,Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway
| | | | - Merete Lund Hetland
- The DANBIO registry, the Danish Rheumatologic Biobank and Copenhagen Center for Arthritis Research (COPECARE), Centre for Rheumatology and Spine Diseases, Centre of Head and Orthopaedics, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark.,Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Lars Klareskog
- Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Johan Askling
- Division of Clinical Epidemiology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine, Solna, Karolinska Institutet, Stockholm, Sweden
| | - Ole Bv Pedersen
- Department of Clinical Immunology, Zealand University Hospital, Køge, Denmark
| | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Ingileif Jonsdottir
- deCODE genetics/Amgen, Reykjavik, Iceland.,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland.,Department of Immunology, Landspitali, the National University Hospital of Iceland, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen, Reykjavik, Iceland .,Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
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28
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Integrated single cell and spatial transcriptomics reveal autoreactive differentiated B cells in joints of early rheumatoid arthritis. Sci Rep 2022; 12:11876. [PMID: 35831338 PMCID: PMC9279471 DOI: 10.1038/s41598-022-15293-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/22/2022] [Indexed: 11/15/2022] Open
Abstract
B cells play a significant role in established Rheumatoid Arthritis (RA). However, it is unclear to what extent differentiated B cells are present in joint tissue already at the onset of disease. Here, we studied synovial biopsies (n = 8) captured from untreated patients at time of diagnosis. 3414 index-sorted B cells underwent RNA sequencing and paired tissue pieces were subjected to spatial transcriptomics (n = 4). We performed extensive bioinformatics analyses to dissect the local B cell composition. Select plasma cell immunoglobulin sequences were expressed as monoclonal antibodies and tested by ELISA. Memory and plasma cells were found irrespective of autoantibody status of the patients. Double negative memory B cells were prominent, but did not display a distinct transcriptional profile. The tissue architecture implicate both local B cell maturation via T cell help and plasma cell survival niches with a strong CXCL12–CXCR4 axis. The immunoglobulin sequence analyses revealed clonality between the memory B and plasma cell pools further supporting local maturation. One of the plasma cell-derived antibodies displayed citrulline autoreactivity, demonstrating local autoreactive plasma cell differentiation in joint biopsies captured from untreated early RA. Hence, plasma cell niches are not a consequence of chronic inflammation, but are already present at the time of diagnosis.
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Single cell sequencing identifies clonally expanded synovial CD4 + T PH cells expressing GPR56 in rheumatoid arthritis. Nat Commun 2022; 13:4046. [PMID: 35831277 PMCID: PMC9279430 DOI: 10.1038/s41467-022-31519-6] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 06/01/2022] [Indexed: 11/23/2022] Open
Abstract
Rheumatoid arthritis (RA) is an autoimmune disease affecting synovial joints where different CD4+ T cell subsets may contribute to pathology. Here, we perform single cell sequencing on synovial CD4+ T cells from anti-citrullinated protein antibodies (ACPA)+ and ACPA- RA patients and identify two peripheral helper T cell (TPH) states and a cytotoxic CD4+ T cell subset. We show that the adhesion G-protein coupled receptor 56 (GPR56) delineates synovial CXCL13high TPH CD4+ T cells expressing LAG-3 and the tissue-resident memory receptors CXCR6 and CD69. In ACPA- SF, TPH cells display lower levels of GPR56 and LAG-3. Further, most expanded T cell clones in the joint are within CXCL13high TPH CD4+ T cells. Finally, RNA-velocity analyses suggest a common differentiation pathway between the two TPH clusters and effector CD4+ T cells. Our study provides comprehensive immunoprofiling of the synovial CD4+ T cell subsets in ACPA+ and ACPA- RA. Antibodies against citrullinated proteins (ACPA) can divide rheumatoid arthritis patients but the difference in immune phenotype is not clear. Here the authors characterise T peripheral helper cells in arthritic joints comparing ACPA+ and ACPA- patients showing changes in immune cell phenotype and surface molecules.
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Yu SF, Chen JF, Chen YC, Wang YW, Hsu CY, Lai HM, He HR, Ko CH, Chiu WC, Cheng TT. The Impact of Seropositivity on Systemic Bone Loss in Rheumatoid Arthritis-A 3-Year Interim Analysis of a Longitudinal Observational Cohort Study. Front Med (Lausanne) 2022; 9:885801. [PMID: 35755026 PMCID: PMC9218258 DOI: 10.3389/fmed.2022.885801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 05/25/2022] [Indexed: 12/03/2022] Open
Abstract
Objective To explore the impact of seropositivity on systemic bone loss in rheumatoid arthritis (RA). Methods We conducted an interim analysis of the RA registry. Patients were examined with dual-energy X-ray absorptiometry at baseline and again 3 years later. Participants were grouped into seropositive (SPRA) and seronegative (SNRA) based on the presence or absence of rheumatoid factor (RF) and/or anti-cyclic citrullinated peptide antibodies (ACPA). After matching (1:2) for age and sex, SNRA and SPRA patients were divided into groups A and B. Each matched group (A or B) was further subdivided according to the number of antibodies present (0, group I; 1, group II; 2, group III). Multiple ordinary least squares regression was used with the dependent variables to develop a model to predict bone mineral density (BMD) change. Results A total of 477 participants who completed a 3-year observation period were included. After matching, 312 participants were enrolled (group A, 104; group B, 208). Three years later, group B had significant BMD reduction in the femoral neck (FN) (p < 0.001), total hip (TH) (p = 0.001), and first through fourth lumbar vertebrae (L1–4) (p = 0.006), while group A had bone loss only at FN (p = 0.002). Groups I, II, and III included 104, 52, and 156 participants, respectively. Compared to baseline, BMD decreased significantly at FN (p = 0.002) in group I, FN (p < 0.001) in group II, and FN (p < 0.001), TH (p = 0.002), and L1–4 (p = 0.016) in group III. In terms of regression-adjusted percent change in BMD, more significantly negative changes were found at all measured sites in group B (p < 0.001, all) and at TH and L1–4 within groups I-III (p for trend < 0.001 and < 0.001, respectively). Regardless of antibodies, anti-osteoporotic therapy can preserve bone density in RA patients. Conclusion After 3 years, SPRA patients lost more bone density than SNRA patients. More attention should be paid to SPRA patients, especially those with double-positive antibodies, including a vigorous evaluation of BMD and fracture risk. Anti-osteoporotic therapy can prevent BMD loss irrespective of autoantibodies.
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Affiliation(s)
- Shan-Fu Yu
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.,Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Chiayi Chang Gung Memorial Hospital, Chiayi, Taiwan.,School of Medicine, College of Medicine, Chang Gung University, Tayouan, Taiwan
| | - Jia-Feng Chen
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Ying-Chou Chen
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.,School of Medicine, College of Medicine, Chang Gung University, Tayouan, Taiwan
| | - Yu-Wei Wang
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chung-Yuan Hsu
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Han-Ming Lai
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Hsiao-Ru He
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Chi-Hua Ko
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Wen-Chan Chiu
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan
| | - Tien-Tsai Cheng
- Division of Rheumatology, Allergy, and Immunology, Department of Internal Medicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung, Taiwan.,School of Medicine, College of Medicine, Chang Gung University, Tayouan, Taiwan
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Vatn SS, Lindstrøm JC, Moen AEF, Brackmann S, Tannæs TM, Olbjørn C, Bergemalm D, Keita ÅV, Gomollon F, Detlie TE, Lüders T, Kalla R, Adams A, Satsangi J, Jahnsen J, Vatn MH, Halfvarson J, Ricanek P, Nilsen H. Mucosal Gene Transcript Signatures in Treatment Naïve Inflammatory Bowel Disease: A Comparative Analysis of Disease to Symptomatic and Healthy Controls in the European IBD-Character Cohort. Clin Exp Gastroenterol 2022; 15:5-25. [PMID: 35185343 PMCID: PMC8848803 DOI: 10.2147/ceg.s343468] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 12/22/2021] [Indexed: 12/12/2022] Open
Abstract
Background Studies of the mucosal transcriptomic landscape have given new insight into the pathogenesis of inflammatory bowel disease (IBD). Recently, the predictive biomarker potential of gene expression signatures has been explored. To further investigate the mucosal gene expression in IBD, we recruited a cohort of treatment naïve patients and compared them to both symptomatic and healthy controls. Methods Altogether, 323 subjects were included: Crohn’s disease (N = 75), ulcerative colitis (N = 87) and IBD unclassified (N = 3). Additionally, there were two control groups: symptomatic controls (N = 131) and healthy controls (N = 27). Mucosal biopsies were collected during ileocolonoscopy and gene expression in inflamed and non-inflamed mucosa was explored. Gene expression profiling was performed using Agilent G3 Human Gene Expression 860K v3 One-Color microarray. We recorded information about treatment escalation to anti-TNF agents or surgery, and anti-TNF response, to explore predictive opportunities of the mucosal transcriptome. Results Gene expression profiles in symptomatic controls in whom IBD had been excluded resembled that of IBD patients and diverged from that of healthy controls. In non-inflamed Crohn’s disease and ulcerative colitis, gene set enrichment analysis revealed dysregulation of pathways involved in basic cellular biological processes. Mitochondria-associated pathways were dysregulated both in non-inflamed and inflamed Crohn’s disease and ulcerative colitis (>2.6 normalized enrichment scores <−1.8). Gene expression signatures of Crohn’s disease and ulcerative colitis did not predict time for treatment escalation (p = 0.175). No significant association was found between gene expression signatures and anti-TNF response. Conclusion Non-inflamed samples are probably superior to inflamed samples when exploring gene expression signatures in IBD and might reveal underlying mechanisms central for disease initiation. The gene expression signatures of the control groups were related to if they were symptomatic or not, which may have important implications for future study designs.
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Affiliation(s)
- Simen Svendsen Vatn
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
- Correspondence: Simen Svendsen Vatn, Akershus University Hospital, Postbox 1000, Lørenskog, 1478, Norway, Tel +47 94277594, Email
| | - Jonas Christoffer Lindstrøm
- Health Services Research Unit (HØKH), Akershus University Hospital, Lørenskog, Norway
- Department of Methods Development and Analytics, Division of Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - Aina E F Moen
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Methods Development and Analytics, Division of Infectious Disease Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
- Section for Clinical Molecular Biology (EpiGen), Akershus University Hospital, Lørenskog, Norway
| | - Stephan Brackmann
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Tone M Tannæs
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Section for Clinical Molecular Biology (EpiGen), Akershus University Hospital, Lørenskog, Norway
| | - Christine Olbjørn
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Pediatric and Adolescent Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Daniel Bergemalm
- Department of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Åsa V Keita
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | | | - Trond Espen Detlie
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Torben Lüders
- Section for Clinical Molecular Biology (EpiGen), Akershus University Hospital, Lørenskog, Norway
| | - Rahul Kalla
- Gastrointestinal Unit, Centre for Genomics and Molecular Medicine, Division of Medical and Radiological Sciences, University of Edinburgh, Edinburgh, UK
| | - Alex Adams
- Gastrointestinal Unit, Centre for Genomics and Molecular Medicine, Division of Medical and Radiological Sciences, University of Edinburgh, Edinburgh, UK
- Translational Gastroenterology Unit, Medical Sciences/ Experimental medicine Division, University of Oxford, Oxford, UK
| | - Jack Satsangi
- Gastrointestinal Unit, Centre for Genomics and Molecular Medicine, Division of Medical and Radiological Sciences, University of Edinburgh, Edinburgh, UK
- Translational Gastroenterology Unit, Medical Sciences/ Experimental medicine Division, University of Oxford, Oxford, UK
| | - Jørgen Jahnsen
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Morten H Vatn
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Jonas Halfvarson
- Department of Gastroenterology, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Petr Ricanek
- Department of Gastroenterology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
| | - Hilde Nilsen
- Department of Clinical Molecular Biology, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Section for Clinical Molecular Biology (EpiGen), Akershus University Hospital, Lørenskog, Norway
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Xia G, Li Y, Pan W, Qian C, Ma L, Zhou J, Xu H, Cheng C. SLAMF6 is associated with the susceptibility and severity of rheumatoid arthritis in the Chinese population. J Orthop Surg Res 2022; 17:13. [PMID: 35016729 PMCID: PMC8753921 DOI: 10.1186/s13018-021-02901-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2021] [Accepted: 12/30/2021] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES A recently published genome-wide association study identified six novel loci associated with rheumatoid arthritis (RA) in Korean population. We aimed to investigate whether these newly reported RA-risk loci are associated with RA in the Chinese population and to further characterize the functional role of the susceptible gene. METHODS The susceptible variants of RA were genotyped in 600 RA patients and 800 healthy controls, including rs148363003 of SLAMF6, rs117605225 of CXCL13, rs360136 of SWAP70, rs111597524 of NFKBIA, rs194757 of ZFP36L1 and rs1547233 of LINC00158. Synovial tissues were collected from the knee joint of 50 RA patients and 40 controls without osteoarthritis for the gene expression analysis. Inter-group comparisons were performed with the Chi-square test for genotyping data or with Student's t-test for gene expression analysis. RESULT For rs148363003 of SLAMF6, RA patients were observed to have a significantly lower frequency of genotype CC (4.5% vs. 0.9%, p = 0.004) as compared with the controls. The frequency of allele C was remarkably higher in the patients than in the controls (11.5% vs. 8.0%, p = 0.002), with an odds ratio of 1.49 (95% CI = 1.16-1.92). There was no significant difference between the patients and the controls regarding genotype or allele frequency of the other 5 variants. The mRNA expression of SLAMF6 was 1.6 folds higher in the RA patients than in the controls. Moreover, SLAMF6 expression was 1.5 folds higher in patients with genotype CC than in the patients with genotype TT. CONCLUSIONS SLAMF6 was associated with both the susceptibility and severity of RA in the Chinese population. Moreover, rs148363003 could be a functional variant regulating the tissue expression of SLAMF6 in RA patients. It is advisable to conduct further functional analysis for a comprehensive knowledge on the contribution of this variant to the development of RA.
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Affiliation(s)
- Guodong Xia
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500, China
| | - Yetian Li
- Department of Orthopaedic Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei City, China
| | - Wei Pan
- Department of Orthopaedic Surgery, The Huai'an Second People's Hospital, Huai'an City, China
| | - Chengmei Qian
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500, China
| | - Lin Ma
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500, China
| | - Jingli Zhou
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500, China
| | - Henggui Xu
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500, China
| | - Chen Cheng
- Department of Orthopaedic Surgery, The JiangYan TCM Hospital of Taizhou City, JiangYan Road No. 699, Taizhou City, 225500, China.
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Romão VC, Fonseca JE. Etiology and Risk Factors for Rheumatoid Arthritis: A State-of-the-Art Review. Front Med (Lausanne) 2021; 8:689698. [PMID: 34901047 PMCID: PMC8661097 DOI: 10.3389/fmed.2021.689698] [Citation(s) in RCA: 44] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Accepted: 11/04/2021] [Indexed: 12/24/2022] Open
Abstract
Rheumatoid arthritis (RA) is the most common systemic inflammatory rheumatic disease. It is associated with significant burden at the patient and societal level. Extensive efforts have been devoted to identifying a potential cause for the development of RA. Epidemiological studies have thoroughly investigated the association of several factors with the risk and course of RA. Although a precise etiology remains elusive, the current understanding is that RA is a multifactorial disease, wherein complex interactions between host and environmental factors determine the overall risk of disease susceptibility, persistence and severity. Risk factors related to the host that have been associated with RA development may be divided into genetic; epigenetic; hormonal, reproductive and neuroendocrine; and comorbid host factors. In turn, environmental risk factors include smoking and other airborne exposures; microbiota and infectious agents; diet; and socioeconomic factors. In the present narrative review, aimed at clinicians and researchers in the field of RA, we provide a state-of-the-art overview of the current knowledge on this topic, focusing on recent progresses that have improved our comprehension of disease risk and development.
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Affiliation(s)
- Vasco C Romão
- Rheumatology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon Academic Medical Centre and European Reference Network on Rare Connective Tissue and Musculoskeletal Diseases Network (ERN-ReCONNET), Lisbon, Portugal.,Rheumatology Research Unit, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
| | - João Eurico Fonseca
- Rheumatology Department, Hospital de Santa Maria, Centro Hospitalar Universitário Lisboa Norte, Lisbon Academic Medical Centre and European Reference Network on Rare Connective Tissue and Musculoskeletal Diseases Network (ERN-ReCONNET), Lisbon, Portugal.,Rheumatology Research Unit, Instituto de Medicina Molecular João Lobo Antunes, Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal
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Guderud K, Sunde LH, Flåm ST, Mæhlen MT, Mjaavatten MD, Norli ES, Evenrød IM, Andreassen BK, Franzenburg S, Franke A, Rayner S, Gervin K, Lie BA. Methotrexate Treatment of Newly Diagnosed RA Patients Is Associated With DNA Methylation Differences at Genes Relevant for Disease Pathogenesis and Pharmacological Action. Front Immunol 2021; 12:713611. [PMID: 34867944 PMCID: PMC8637827 DOI: 10.3389/fimmu.2021.713611] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 10/27/2021] [Indexed: 12/20/2022] Open
Abstract
Background Methotrexate (MTX) is the first line treatment of rheumatoid arthritis (RA), and methylation changes in bulk T cells have been reported after treatment with MTX. We have investigated cell-type specific DNA methylation changes across the genome in naïve and memory CD4+ T cells before and after MTX treatment of RA patients. DNA methylation profiles of newly diagnosed RA patients (N=9) were assessed by reduced representation bisulfite sequencing. Results We found that MTX treatment significantly influenced DNA methylation levels at multiple CpG sites in both cell populations. Interestingly, we identified differentially methylated sites annotated to two genes; TRIM15 and SORC2, previously reported to predict treatment outcome in RA patients when measured in bulk T cells. Furthermore, several of the genes, including STAT3, annotated to the significant CpG sites are relevant for RA susceptibility or the action of MTX. Conclusion We detected CpG sites that were associated with MTX treatment in CD4+ naïve and memory T cells isolated from RA patients. Several of these sites overlap genetic regions previously associated with RA risk and MTX treatment outcome.
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Affiliation(s)
- Kari Guderud
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway.,K. G. Jebsen Inflammation Research Centre, University of Oslo, Oslo, Norway
| | - Line H Sunde
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway.,K. G. Jebsen Inflammation Research Centre, University of Oslo, Oslo, Norway
| | - Siri T Flåm
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway.,K. G. Jebsen Inflammation Research Centre, University of Oslo, Oslo, Norway
| | - Marthe T Mæhlen
- Department of Rheumatology, Diakonhjemmet Hospital, Oslo, Norway
| | | | - Ellen S Norli
- Department of Rheumatology, Martina Hansens Hospital, Bærum, Norway
| | - Ida M Evenrød
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Bettina K Andreassen
- Department of Research, Cancer Registry of Norway, Institute for Population-Based Research, Oslo, Norway
| | - Sören Franzenburg
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Andre Franke
- Institute of Clinical Molecular Biology, Christian-Albrechts-University of Kiel, Kiel, Germany
| | - Simon Rayner
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Kristina Gervin
- Pharmacoepidemiology and Drug Safety Research Group, Department of Pharmacy, University of Oslo, Oslo, Norway.,PharmaTox Strategic Research Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.,Division of Clinical Neuroscience, Department of Research and Innovation, Oslo University Hospital, Oslo, Norway
| | - Benedicte A Lie
- Department of Medical Genetics, University of Oslo and Oslo University Hospital, Oslo, Norway.,K. G. Jebsen Inflammation Research Centre, University of Oslo, Oslo, Norway
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He J, Ju J, Wang X. The current status of anti-citrullinated protein antibodies and citrullinated protein-reactive B cells in the pathogenesis of rheumatoid arthritis. Mol Biol Rep 2021; 49:2475-2485. [PMID: 34855107 DOI: 10.1007/s11033-021-07034-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Accepted: 11/26/2021] [Indexed: 11/26/2022]
Abstract
Anti-citrullinated protein antibodies are a hallmark of rheumatoid arthritis. It is widely acknowledged that the presence of ACPAs is the result of the interaction of genes, the environment and epigenetic modifications. The mechanism by which the factors, especially citrullination and ACPA glycosylation, affect ACPAs is still unclear. In this article, we review the presence of the ACPAs in RA and their relationship with clinical manifestations. The pathogenicity of ACPAs and B cells in RA was also summarized. A growing body of evidence has shown that ACPA-positive patients have more serious bone erosion and destruction and poor clinical prognosis than ACPA-negative patients. Recently, with the direct study of citrullinated protein-reactive B cells, their role in the development of rheumatoid arthritis has been further understood. It indicates that further understanding of the mechanism of ACPAs and CP-reactive B cells would beneficial in the prevention and treatment of RA.
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Affiliation(s)
- Jia He
- School of Clinical Medicine, Weifang Medical University, Weifang, China
| | - JiYu Ju
- Department of Immunology, Weifang Medical University, Weifang, China
| | - XiaoDong Wang
- Department of Rheumatology and Immunology, Affiliated Hospital of Weifang Medical University, Weifang, China.
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The Genetic, Environmental, and Immunopathological Complexity of Autoantibody-Negative Rheumatoid Arthritis. Int J Mol Sci 2021; 22:ijms222212386. [PMID: 34830268 PMCID: PMC8618508 DOI: 10.3390/ijms222212386] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 11/15/2021] [Accepted: 11/15/2021] [Indexed: 12/19/2022] Open
Abstract
Differences in clinical presentation, response to treatment, and long-term outcomes between autoantibody-positive and -negative rheumatoid arthritis (RA) highlight the need for a better comprehension of the immunopathogenic events underlying the two disease subtypes. Whilst the drivers and perpetuators of autoimmunity in autoantibody-positive RA have started to be disclosed, autoantibody-negative RA remains puzzling, also due its wide phenotypic heterogeneity and its possible misdiagnosis. Genetic susceptibility appears to mostly rely on class I HLA genes and a number of yet unidentified non-HLA loci. On the background of such variable genetic predisposition, multiple exogeneous, endogenous, and stochastic factors, some of which are not shared with autoantibody-positive RA, contribute to the onset of the inflammatory cascade. In a proportion of the patients, the immunopathology of synovitis, at least in the initial stages, appears largely myeloid driven, with abundant production of proinflammatory cytokines and only minor involvement of cells of the adaptive immune system. Better understanding of the complexity of autoantibody-negative RA is still needed in order to open new avenues for targeted intervention and improve clinical outcomes.
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Heutz J, de Jong PHP. Possibilities for personalised medicine in rheumatoid arthritis: hype or hope. RMD Open 2021; 7:rmdopen-2021-001653. [PMID: 34649986 PMCID: PMC8522666 DOI: 10.1136/rmdopen-2021-001653] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 09/29/2021] [Indexed: 12/26/2022] Open
Abstract
Knowledge of pathophysiology of rheumatoid arthritis (RA) has improved over the past decades, which resulted in new treatment options and strategies that led to better clinical outcomes. At the same time, we have come to understand that RA is a heterogeneous disease on a clinical as well as a pathophysiological level. Despite this heterogeneity, current management recommendations still adopt a ‘one-size-fits-all’ treatment approach, where ideally individualised treatment, or personalised medicine, is preferred. The first step towards personalised medicine in RA would be to designate different treatment strategies to distinct clinical or molecular phenotypes of patients. This viewpoint discusses current evidence and elaborates on future possibilities for personalised medicine in RA.
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Affiliation(s)
- Judith Heutz
- Rheumatology, Erasmus MC, Rotterdam, The Netherlands
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Masjedi SS, Etemadifar M, Zadeh NM, Afzali M. Assessment of fingolimod versus dimethyl fumarate for the treatment of multiple sclerosis; a 24-month follow-up study. AMERICAN JOURNAL OF CLINICAL AND EXPERIMENTAL IMMUNOLOGY 2021; 10:86-92. [PMID: 34824898 PMCID: PMC8610802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 08/23/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Oral treatment of multiple sclerosis (MS) using disease-modifying therapies (DMTs) is a challenge worldwide. Fingolimod (FTY) and dimethyl fumarate (DMF) are two approved agents for oral treatment of MS with remarkable efficacy for relapse control and deceleration of disability progression. Therefore, the current study was done to compare disability control, lesions in magnetic resonance imaging (MRI), and adverse effects between the patients treated with FTY and DMF. METHODS This randomized clinical trial (IR.MUI.REC.1396.3.786) was conducted on 60 patients who were randomly divided into two groups of treatment with 0.5 mg daily dose of FTY (n = 30) and 240 mg dose of DMF twice daily (n = 30). Disability of patients was assessed using the expanded disability status scale (EDSS) within 6 weeks, 12, and 24 months following treatment initiation and MRI was performed for all the patients prior to study initiation and within 24 months. Obtained data were compared between two study groups. RESULTS There was no significant difference between two treatment groups based on EDSS scores, brain lesions in MRI, and newly formed plaques (P>0.05). Skin and gastrointestinal-related complaints were the most common adverse effects of DMF while the increase in liver enzyme level and thrombocytopenia were the most common complications of FTY, respectively (P-value = 0.22). CONCLUSION According to our findings, within 24-month follow-up, DMF was neither superior nor inferior to FTY comparing MRI lesions, EDSS scores, and adverse effects. Although, further evaluations with larger sample size are recommended.
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Affiliation(s)
- Samane-Sadat Masjedi
- Department of Neurology, School of Medicine, Isfahan University of Medical SciencesIsfahan, Iran
| | - Masoud Etemadifar
- Department of Neurology, School of Medicine, Isfahan University of Medical SciencesIsfahan, Iran
| | - Nadia Mohammad Zadeh
- School of Medicine, Islamic Azad University Tehran Faculty of MedicineTehran, Iran
| | - Mahdieh Afzali
- Department of Neurology, School of Medicine, Yas Hospital, Tehran University of Medical SciencesTehran, Iran
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39
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Lu J, Bi Y, Zhu Y, Huipeng S, Duan W, Zhou J. CD3D, GZMK, and KLRB1 Are Potential Markers for Early Diagnosis of Rheumatoid Arthritis, Especially in Anti-Citrullinated Protein Antibody-Negative Patients. Front Pharmacol 2021; 12:726529. [PMID: 34603038 PMCID: PMC8483717 DOI: 10.3389/fphar.2021.726529] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Accepted: 08/16/2021] [Indexed: 12/29/2022] Open
Abstract
Early diagnosis and monitoring of rheumatoid arthritis (RA) progress are critical for effective treatment. In clinic, the detection of rheumatoid factor (RF) and anti-citrullinated protein antibodies (ACPA) are usually combined to diagnose early RA. However, the poor specificity of RF and high heterogeneity of ACPA make the early diagnosis of RA still challenging. Bioinformatics analysis based on high-throughput omics is an emerging method to identify novel and effective biomarkers, which has been widely used in many diseases. Herein, utilizing an integrated strategy based on expression correlation analysis and weighted gene coexpression network analysis (WGCNA), we identified 76 RA-trait different expression genes (DEGs). Combined with protein-protein interaction (PPI) network construction and clustering, new hub genes associated in RA synovia, CD3D, GZMK, and KLRB1, were identified. We verified the specificity of these genes in the synovium of RA patients through three external datasets. We also observed high sensitivity and specificity of them for ACPA-negative patients. CD3D, GZMK, and KLRB1 are potentially key mediators of RA pathogenesis and markers for RA diagnosis.
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Affiliation(s)
- Junqin Lu
- Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yihui Bi
- Department of Orthopedics, The Second Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yapeng Zhu
- Department of Interventional Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Shi Huipeng
- Department of Orthopedics, Shanghai Sixth People's Hospital, Shanghai, China
| | - Wenxiu Duan
- Department of Interventional Radiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Jian Zhou
- Department of Orthopedics, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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40
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Daraghmeh DN, King C, Wiese MD. A review of liquid biopsy as a tool to assess epigenetic, cfDNA and miRNA variability as methotrexate response predictors in patients with rheumatoid arthritis. Pharmacol Res 2021; 173:105887. [PMID: 34536550 DOI: 10.1016/j.phrs.2021.105887] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/27/2021] [Accepted: 09/12/2021] [Indexed: 11/28/2022]
Abstract
Rheumatoid arthritis (RA) is a common autoimmune inflammatory disease affecting 0.5-1% of adults worldwide. Achieving long term remission or low disease activity is possible through early diagnosis, rapid initiation of disease modifying anti-rheumatic drugs (DMARDs) and implementation of a treat to target approach. Initial DMARD therapy usually involves methotrexate (MTX), either alone or in combination with other agents, however 40% of RA patients do not respond adequately, putting them at risk of disease progression and unnecessary exposure to MTX related adverse effects. Early predictors of MTX response would therefore enable a more personalized treatment strategy, ensuring timely access to MTX for those likely to respond and importantly, early initiation of alternative treatment for those in which MTX is unlikely to be efficacious. Predicting response to treatment will most likely require consideration of the clinical characteristics of the patient and interrogation of a number of factors including genetic, epigenetic, cell free DNA (cfDNA) and microRNA (miRNA), all of which can be investigated through blood derived liquid biopsies. This review will summarize the existing literature examining the use of epigenetic factors, cfDNA and miRNA as response predictors among RA patients treated with MTX.
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Affiliation(s)
- Dala N Daraghmeh
- Health and Biomedical Innovation, UniSA: Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia.
| | - Catherine King
- Health and Biomedical Innovation, UniSA: Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
| | - Michael D Wiese
- Health and Biomedical Innovation, UniSA: Clinical and Health Sciences, University of South Australia, Adelaide, SA, Australia
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41
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Franks PW, Melén E, Friedman M, Sundström J, Kockum I, Klareskog L, Almqvist C, Bergen SE, Czene K, Hägg S, Hall P, Johnell K, Malarstig A, Catrina A, Hagström H, Benson M, Gustav Smith J, Gomez MF, Orho-Melander M, Jacobsson B, Halfvarson J, Repsilber D, Oresic M, Jern C, Melin B, Ohlsson C, Fall T, Rönnblom L, Wadelius M, Nordmark G, Johansson Å, Rosenquist R, Sullivan PF. Technological readiness and implementation of genomic-driven precision medicine for complex diseases. J Intern Med 2021; 290:602-620. [PMID: 34213793 DOI: 10.1111/joim.13330] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 03/21/2021] [Accepted: 04/12/2021] [Indexed: 12/20/2022]
Abstract
The fields of human genetics and genomics have generated considerable knowledge about the mechanistic basis of many diseases. Genomic approaches to diagnosis, prognostication, prevention and treatment - genomic-driven precision medicine (GDPM) - may help optimize medical practice. Here, we provide a comprehensive review of GDPM of complex diseases across major medical specialties. We focus on technological readiness: how rapidly a test can be implemented into health care. Although these areas of medicine are diverse, key similarities exist across almost all areas. Many medical areas have, within their standards of care, at least one GDPM test for a genetic variant of strong effect that aids the identification/diagnosis of a more homogeneous subset within a larger disease group or identifies a subset with different therapeutic requirements. However, for almost all complex diseases, the majority of patients do not carry established single-gene mutations with large effects. Thus, research is underway that seeks to determine the polygenic basis of many complex diseases. Nevertheless, most complex diseases are caused by the interplay of genetic, behavioural and environmental risk factors, which will likely necessitate models for prediction and diagnosis that incorporate genetic and non-genetic data.
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Affiliation(s)
- P W Franks
- From the, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden.,Department of Nutrition, Harvard School of Public Health, Boston, MA, USA
| | - E Melén
- Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
| | - M Friedman
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - J Sundström
- Department of Cardiology, Akademiska Sjukhuset, Uppsala, Sweden.,George Institute for Global Health, Camperdown, NSW, Australia.,Medical Sciences, Uppsala University, Uppsala, Sweden
| | - I Kockum
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - L Klareskog
- Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden.,Department of Rheumatology, Karolinska Institutet, Stockholm, Sweden
| | - C Almqvist
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - S E Bergen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - K Czene
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - S Hägg
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - P Hall
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Oncology, Södersjukhuset, Stockholm, Sweden
| | - K Johnell
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - A Malarstig
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Pfizer, Worldwide Research and Development, Stockholm, Sweden
| | - A Catrina
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - H Hagström
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden.,Division of Hepatology, Department of Upper GI, Karolinska University Hospital, Stockholm, Sweden
| | - M Benson
- Department of Pediatrics, Linkopings Universitet, Linkoping, Sweden.,Division of Ear, Nose and Throat Diseases, Department of Clinical Sciences, Intervention and Technology (CLINTEC), Karolinska Institutet, Stockholm, Sweden
| | - J Gustav Smith
- Department of Cardiology and Wallenberg Center for Molecular Medicine, Clinical Sciences, Lund University and Skåne University Hospital, Lund, Sweden.,Department of Molecular and Clinical Medicine, Institute of Medicine, Gothenburg University and Sahlgrenska University Hospital, Gothenburg, Sweden
| | - M F Gomez
- From the, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - M Orho-Melander
- From the, Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Malmö, Sweden
| | - B Jacobsson
- Division of Health Data and Digitalisation, Norwegian Institute of Public Health, Genetics and Bioinformatics, Oslo, Norway.,Department of Obstetrics and Gynecology, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Obstetrics and Gynecology, Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden
| | - J Halfvarson
- School of Medical Sciences, Örebro University, Örebro, Sweden
| | - D Repsilber
- Functional Bioinformatics, Örebro University, Örebro, Sweden
| | - M Oresic
- School of Medical Sciences, Örebro University, Örebro, Sweden.,Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, FI, Finland
| | - C Jern
- Department of Clinical Genetics and Genomics, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden.,Department of Laboratory Medicine, Institute of Biomedicine, University of Gothenburg, Gothenburg, Sweden
| | - B Melin
- Department of Radiation Sciences, Oncology, Umeå Universitet, Umeå, Sweden
| | - C Ohlsson
- Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, Sahlgrenska Osteoporosis Centre, CBAR, University of Gothenburg, Gothenburg, Sweden.,Department of Drug Treatment, Region Västra Götaland, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - T Fall
- Department of Medical Sciences, Molecular Epidemiology, Uppsala University, Uppsala, Sweden
| | - L Rönnblom
- Department of Medical Sciences, Rheumatology & Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - M Wadelius
- Department of Medical Sciences, Clinical Pharmacogenomics & Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - G Nordmark
- Department of Medical Sciences, Rheumatology & Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Å Johansson
- Institute for Immunology, Genetics, and Pathology, Uppsala University, Uppsala, Sweden
| | - R Rosenquist
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - P F Sullivan
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.,Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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42
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Wu X, Liu Y, Jin S, Wang M, Jiao Y, Yang B, Lu X, Ji X, Fei Y, Yang H, Zhao L, Chen H, Zhang Y, Li H, Lipsky PE, Tsokos GC, Bai F, Zhang X. Single-cell sequencing of immune cells from anticitrullinated peptide antibody positive and negative rheumatoid arthritis. Nat Commun 2021; 12:4977. [PMID: 34404786 PMCID: PMC8371160 DOI: 10.1038/s41467-021-25246-7] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Accepted: 07/27/2021] [Indexed: 02/07/2023] Open
Abstract
The presence or absence of anti-citrullinated peptide antibodies (ACPA) and associated disparities in patients with rheumatoid arthritis (RA) implies disease heterogeneity with unknown diverse immunopathological mechanisms. Here we profile CD45+ hematopoietic cells from peripheral blood or synovial tissues from both ACPA+ and ACPA- RA patients by single-cell RNA sequencing and identify subsets of immune cells that contribute to the pathogenesis of RA subtypes. We find several synovial immune cell abnormalities, including up-regulation of CCL13, CCL18 and MMP3 in myeloid cell subsets of ACPA- RA compared with ACPA+ RA. Also evident is a lack of HLA-DRB5 expression and lower expression of cytotoxic and exhaustion related genes in the synovial tissues of patients with ACPA- RA. Furthermore, the HLA-DR15 haplotype (DRB1/DRB5) conveys an increased risk of developing active disease in ACPA+ RA in a large cohort of patients with treatment-naive RA. Immunohistochemical staining shows increased infiltration of CCL13 and CCL18-expressing immune cells in synovial tissues of ACPA- RA. Collectively, our data provide evidence of the differential involvement of cellular and molecular pathways involved in the pathogenesis of seropositive and seronegative RA subtypes and reveal the importance of precision therapy based on ACPA status. Patients with rheumatoid arthritis are commonly stratified by ACPA serology, with positivity being associated with more severe disease and joint destruction. Here the authors present a single cell RNA sequencing resource comparing peripheral blood and synovial tissue cells from patients with ACPA+ versus ACPA- rheumatoid arthritis.
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Affiliation(s)
- Xunyao Wu
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Liu
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Shanzhao Jin
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China
| | - Min Wang
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Medical Research Center, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.,Department of Rheumatology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuhao Jiao
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Bo Yang
- Department of Orthopaedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Lu
- Department of Orthopaedics, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xin Ji
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yunyun Fei
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, The Ministry of Education Key Laboratory, Beijing, China
| | - Huaxia Yang
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, The Ministry of Education Key Laboratory, Beijing, China
| | - Lidan Zhao
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, The Ministry of Education Key Laboratory, Beijing, China
| | - Hua Chen
- Department of Rheumatology and Clinical Immunology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, The Ministry of Education Key Laboratory, Beijing, China
| | - Yaran Zhang
- Clinical Immunology Center, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hao Li
- Division of Rheumatology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Peter E Lipsky
- RILITE Research Institute and AMPEL BioSolutions, Charlottesville, VA, USA
| | - George C Tsokos
- Division of Rheumatology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Fan Bai
- Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China. .,Center for Translational Cancer Research, First Hospital, Peking University, Beijing, China. .,Beijing Advanced Innovation Center for Genomics (ICG), Peking University, Beijing, China.
| | - Xuan Zhang
- Department of Rheumatology, Beijing Hospital, National Center of Gerontology; Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
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Grönwall C, Liljefors L, Bang H, Hensvold AH, Hansson M, Mathsson-Alm L, Israelsson L, Joshua V, Svärd A, Stålesen R, Titcombe PJ, Steen J, Piccoli L, Sherina N, Clavel C, Svenungsson E, Gunnarsson I, Saevarsdottir S, Kastbom A, Serre G, Alfredsson L, Malmström V, Rönnelid J, Catrina AI, Lundberg K, Klareskog L. A Comprehensive Evaluation of the Relationship Between Different IgG and IgA Anti-Modified Protein Autoantibodies in Rheumatoid Arthritis. Front Immunol 2021; 12:627986. [PMID: 34093522 PMCID: PMC8173192 DOI: 10.3389/fimmu.2021.627986] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Accepted: 04/26/2021] [Indexed: 12/25/2022] Open
Abstract
Seropositive rheumatoid arthritis (RA) is characterized by the presence of rheumatoid factor (RF) and anti-citrullinated protein autoantibodies (ACPA) with different fine-specificities. Yet, other serum anti-modified protein autoantibodies (AMPA), e.g. anti-carbamylated (Carb), -acetylated (KAc), and malondialdehyde acetaldehyde (MAA) modified protein antibodies, have been described. In this comprehensive study, we analyze 30 different IgG and IgA AMPA reactivities to Cit, Carb, KAc, and MAA antigens detected by ELISA and autoantigen arrays in N=1985 newly diagnosed RA patients. Association with patient characteristics such as smoking and disease activity were explored. Carb and KAc reactivities by different assays were primarily seen in patients also positive for anti-citrulline reactivity. Modified vimentin (mod-Vim) peptides were used for direct comparison of different AMPA reactivities, revealing that IgA AMPA recognizing mod-Vim was mainly detected in subsets of patients with high IgG anti-Cit-Vim levels and a history of smoking. IgG reactivity to acetylation was mainly detected in a subset of patients with Cit and Carb reactivity. Anti-acetylated histone reactivity was RA-specific and associated with high anti-CCP2 IgG levels, multiple ACPA fine-specificities, and smoking status. This reactivity was also found to be present in CCP2+ RA-risk individuals without arthritis. Our data further demonstrate that IgG autoreactivity to MAA was increased in RA compared to controls with highest levels in CCP2+ RA, but was not RA-specific, and showed low correlation with other AMPA. Anti-MAA was instead associated with disease activity and was not significantly increased in CCP2+ individuals at risk of RA. Notably, RA patients could be subdivided into four different subsets based on their AMPA IgG and IgA reactivity profiles. Our serology results were complemented by screening of monoclonal antibodies derived from single B cells from RA patients for the same antigens as the RA cohort. Certain CCP2+ clones had Carb or Carb+KAc+ multireactivity, while such reactivities were not found in CCP2- clones. We conclude that autoantibodies exhibiting different patterns of ACPA fine-specificities as well as Carb and KAc reactivity are present in RA and may be derived from multireactive B-cell clones. Carb and KAc could be considered reactivities within the "Cit-umbrella" similar to ACPA fine-specificities, while MAA reactivity is distinctly different.
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Affiliation(s)
- Caroline Grönwall
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lisa Liljefors
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | | | - Aase H. Hensvold
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Monika Hansson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Linda Mathsson-Alm
- Thermo Fisher Scientific, Immuno Diagnostics Division, Uppsala, Sweden
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Lena Israelsson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Vijay Joshua
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Svärd
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
- Center for Clinical Research Dalarna, Uppsala University, Uppsala, Sweden
| | - Ragnhild Stålesen
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Philip J. Titcombe
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- The Center for Immunology and Division of Rheumatic and Autoimmune Diseases, University of Minnesota Medical School, Minneapolis, MN, United States
| | - Johanna Steen
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Luca Piccoli
- Institute for Research in Biomedicine, Università della Svizzera italiana, Bellinzona, Switzerland
| | - Natalia Sherina
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Cyril Clavel
- Unité Différenciation Épithéliale et Autoimmunité Rhumatoïde, INSERM - Université de Toulouse, Toulouse, France
| | - Elisabet Svenungsson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Iva Gunnarsson
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Saedis Saevarsdottir
- Department of Medicine Solna, Division of Clinical Epidemiology, Karolinska Institutet, Stockholm, Sweden
- Faculty of Medicine, School of Health Sciences, University of Iceland, Reykjavik, Iceland
| | - Alf Kastbom
- Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Guy Serre
- Unité Différenciation Épithéliale et Autoimmunité Rhumatoïde, INSERM - Université de Toulouse, Toulouse, France
| | - Lars Alfredsson
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Centre for Occupational and Environmental Medicine, Stockholm Health Region, Stockholm, Sweden
| | - Vivianne Malmström
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Rönnelid
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Anca I. Catrina
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
| | - Karin Lundberg
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Lars Klareskog
- Department of Medicine Solna, Division of Rheumatology, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
- Center for Rheumatology, Academic Specialist Center, Stockholm Health Region, Stockholm, Sweden
- Rheumatology Clinic, Karolinska University Hospital, Stockholm, Sweden
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44
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Diaz-Gallo LM, Brynedal B, Westerlind H, Sandberg R, Ramsköld D. Understanding interactions between risk factors, and assessing the utility of the additive and multiplicative models through simulations. PLoS One 2021; 16:e0250282. [PMID: 33901204 PMCID: PMC8075235 DOI: 10.1371/journal.pone.0250282] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Accepted: 04/02/2021] [Indexed: 01/04/2023] Open
Abstract
Understanding the genetic background of complex diseases requires the expansion of studies beyond univariate associations. Therefore, it is important to use interaction assessments of risk factors in order to discover whether, and how genetic risk variants act together on disease development. The principle of interaction analysis is to explore the magnitude of the combined effect of risk factors on disease causation. In this study, we use simulations to investigate different scenarios of causation to show how the magnitude of the effect of two risk factors interact. We mainly focus on the two most commonly used interaction models, the additive and multiplicative risk scales, since there is often confusion regarding their use and interpretation. Our results show that the combined effect is multiplicative when two risk factors are involved in the same chain of events, an interaction called synergism. Synergism is often described as a deviation from additivity, which is a broader term. Our results also confirm that it is often relevant to estimate additive effect relationships, because they correspond to independent risk factors at low disease prevalence. Importantly, we evaluate the threshold of more than two required risk factors for disease causation, called the multifactorial threshold model. We found a simple mathematical relationship (square root) between the threshold and an additive-to-multiplicative linear effect scale (AMLES), where 0 corresponds to an additive effect and 1 to a multiplicative. We propose AMLES as a metric that could be used to test different effects relationships at the same time, given that it can simultaneously reveal additive, multiplicative and intermediate risk effects relationships. Finally, the utility of our simulation study was demonstrated using real data by analyzing and interpreting gene-gene interaction odds ratios from a rheumatoid arthritis case-control cohort.
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Affiliation(s)
- Lina-Marcela Diaz-Gallo
- Division of Rheumatology, Department of Medicine Solna, Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Boel Brynedal
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Helga Westerlind
- Clinical Epidemiology Division, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Rickard Sandberg
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Daniel Ramsköld
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
- * E-mail:
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45
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Tang B, Alfredsson L, Klareskog L, Padyukov L, Shi H, Jiang X. Reply. Arthritis Rheumatol 2021; 73:1944-1945. [PMID: 33881221 DOI: 10.1002/art.41769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 04/02/2021] [Indexed: 11/06/2022]
Affiliation(s)
| | | | - Lars Klareskog
- Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - Leonid Padyukov
- Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | | | - Xia Jiang
- Karolinska Institutet Stockholm, Sweden West China Fourth Hospital and Sichuan University, Chengdu, China
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46
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ACPA Status Correlates with Differential Immune Profile in Patients with Rheumatoid Arthritis. Cells 2021; 10:cells10030647. [PMID: 33799480 PMCID: PMC8000255 DOI: 10.3390/cells10030647] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 03/10/2021] [Accepted: 03/10/2021] [Indexed: 02/07/2023] Open
Abstract
Rheumatoid arthritis (RA) is a progressive erosive autoimmune disease that affects 1% of the world population. Anti-citrullinated protein autoantibodies (ACPA) are routinely used for the diagnosis of RA, however 20–30% of patients are ACPA negative. ACPA status is a delineator of RA disease endotypes with similar clinical manifestation but potentially different pathophysiology. Profiling of key peripheral blood and synovial tissue immune populations including B cells, T follicular helper (Tfh) cells and CD4 T cell proinflammatory cytokine responses could elucidate the underlying immunological mechanisms involved and inform a treat to target approach for both ACPA-positive and ACPA-negative RA. Detailed high dimensionality flow cytometric analysis with supervised and unsupervised algorithm analysis revealed unique RA patient peripheral blood B cell and Tfh cell profiles. Synovial tissue single cell analysis of B cell subpopulation distribution was similar between ACPA− and ACPA+ RA patients, highlighting a key role for specific B cell subsets in both disease endotypes. Interestingly, synovial tissue single cell analysis of CD4 T cell proinflammatory cytokine production was markedly different between ACPA− and APCA+ RA patients. RNAseq analysis of RA patient synovial tissue highlighted disease endotype specific gene signatures. ACPA status associates with unique immune profile signatures that reinforce the need for a treat to target approach for both endotypes of RA.
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Kelkka T, Savola P, Bhattacharya D, Huuhtanen J, Lönnberg T, Kankainen M, Paalanen K, Tyster M, Lepistö M, Ellonen P, Smolander J, Eldfors S, Yadav B, Khan S, Koivuniemi R, Sjöwall C, Elo LL, Lähdesmäki H, Maeda Y, Nishikawa H, Leirisalo-Repo M, Sokka-Isler T, Mustjoki S. Adult-Onset Anti-Citrullinated Peptide Antibody-Negative Destructive Rheumatoid Arthritis Is Characterized by a Disease-Specific CD8+ T Lymphocyte Signature. Front Immunol 2020; 11:578848. [PMID: 33329548 PMCID: PMC7732449 DOI: 10.3389/fimmu.2020.578848] [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] [Received: 07/01/2020] [Accepted: 10/15/2020] [Indexed: 11/30/2022] Open
Abstract
Rheumatoid arthritis (RA) is a complex autoimmune disease targeting synovial joints. Traditionally, RA is divided into seropositive (SP) and seronegative (SN) disease forms, the latter consisting of an array of unrelated diseases with joint involvement. Recently, we described a severe form of SN-RA that associates with characteristic joint destruction. Here, we sought biological characteristics to differentiate this rare but aggressive anti-citrullinated peptide antibody-negative destructive RA (CND-RA) from early seropositive (SP-RA) and seronegative rheumatoid arthritis (SN-RA). We also aimed to study cytotoxic CD8+ lymphocytes in autoimmune arthritis. CND-RA, SP-RA and SN-RA were compared to healthy controls to reveal differences in T-cell receptor beta (TCRβ) repertoire, cytokine levels and autoantibody repertoires. Whole-exome sequencing (WES) followed by single-cell RNA-sequencing (sc-RNA-seq) was performed to study somatic mutations in a clonally expanded CD8+ lymphocyte population in an index patient. A unique TCRβ signature was detected in CND-RA patients. In addition, CND-RA patients expressed higher levels of the bone destruction-associated TNFSF14 cytokine. Blood IgG repertoire from CND-RA patients recognized fewer endogenous proteins than SP-RA patients’ repertoires. Using WES, we detected a stable mutation profile in the clonally expanded CD8+ T-cell population characterized by cytotoxic gene expression signature discovered by sc-RNA-sequencing. Our results identify CND-RA as an independent RA subset and reveal a CND-RA specific TCR signature in the CD8+ lymphocytes. Improved classification of seronegative RA patients underlines the heterogeneity of RA and also, facilitates development of improved therapeutic options for the treatment resistant patients.
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Affiliation(s)
- Tiina Kelkka
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Paula Savola
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Dipabarna Bhattacharya
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Jani Huuhtanen
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Tapio Lönnberg
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Matti Kankainen
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Kirsi Paalanen
- Rheumatology, Jyväskylä Central Hospital, Jyväskylä, Finland
| | - Mikko Tyster
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Maija Lepistö
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Pekka Ellonen
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Johannes Smolander
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Samuli Eldfors
- Institute for Molecular Medicine Finland (FIMM), Helsinki Institute of Life Science (HiLIFE), University of Helsinki, Helsinki, Finland
| | - Bhagwan Yadav
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
| | - Sofia Khan
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland
| | - Riitta Koivuniemi
- Rheumatology, University of Helsinki, Helsinki University Hospital, Helsinki, Finland
| | - Christopher Sjöwall
- Department of Biomedical and Clinical Sciences, Division of Inflammation and Infection, Linköping University, Linköping, Sweden
| | - Laura L Elo
- Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.,Institute of Biomedicine, University of Turku, Turku, Finland
| | - Harri Lähdesmäki
- Department of Computer Science, Aalto University School of Science, Espoo, Finland
| | - Yuka Maeda
- Division of Cancer Immunology, Research Institute/Exploratory Oncology Research and Clinical Trial Center (EPOC), National Cancer Center, Tokyo, Japan
| | - Hiroyoshi Nishikawa
- Division of Cancer Immunology, Research Institute/Exploratory Oncology Research and Clinical Trial Center (EPOC), National Cancer Center, Tokyo, Japan
| | | | - Tuulikki Sokka-Isler
- Rheumatology, Jyväskylä Central Hospital, Jyväskylä, Finland.,University of Eastern Finland, Faculty of Health Sciences, Kuopio, Finland
| | - Satu Mustjoki
- Hematology Research Unit Helsinki, University of Helsinki, Helsinki, Finland.,Department of Hematology, Helsinki University Hospital Comprehensive Cancer Center, Helsinki, Finland.,Department of Clinical Chemistry and Hematology, University of Helsinki, Helsinki, Finland.,Translational Immunology Research Program, University of Helsinki, Helsinki, Finland
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48
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Castro-Sanchez P, Teagle AR, Prade S, Zamoyska R. Modulation of TCR Signaling by Tyrosine Phosphatases: From Autoimmunity to Immunotherapy. Front Cell Dev Biol 2020; 8:608747. [PMID: 33425916 PMCID: PMC7793860 DOI: 10.3389/fcell.2020.608747] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Accepted: 11/18/2020] [Indexed: 02/06/2023] Open
Abstract
Early TCR signaling is dependent on rapid phosphorylation and dephosphorylation of multiple signaling and adaptor proteins, leading to T cell activation. This process is tightly regulated by an intricate web of interactions between kinases and phosphatases. A number of tyrosine phosphatases have been shown to modulate T cell responses and thus alter T cell fate by negatively regulating early TCR signaling. Mutations in some of these enzymes are associated with enhanced predisposition to autoimmunity in humans, and mouse models deficient in orthologous genes often show T cell hyper-activation. Therefore, phosphatases are emerging as potential targets in situations where it is desirable to enhance T cell responses, such as immune responses to tumors. In this review, we summarize the current knowledge about tyrosine phosphatases that regulate early TCR signaling and discuss their involvement in autoimmunity and their potential as targets for tumor immunotherapy.
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Affiliation(s)
- Patricia Castro-Sanchez
- Ashworth Laboratories, Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, United Kingdom
| | - Alexandra R Teagle
- Ashworth Laboratories, Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, United Kingdom
| | - Sonja Prade
- Ashworth Laboratories, Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, United Kingdom
| | - Rose Zamoyska
- Ashworth Laboratories, Institute of Immunology and Infection Research, University of Edinburgh, Edinburgh, United Kingdom
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Wang X, Sun L, He N, An Z, Yu R, Li C, Li Y, Li Y, Liu X, Fang X, Zhao J. Increased expression of CXCL2 in ACPA-positive rheumatoid arthritis and its role in osteoclastogenesis. Clin Exp Immunol 2020; 203:194-208. [PMID: 33010041 DOI: 10.1111/cei.13527] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 08/29/2020] [Accepted: 09/13/2020] [Indexed: 12/16/2022] Open
Abstract
Anti-citrullinated protein/peptide antibodies (ACPA) play important roles in the pathogenesis of rheumatoid arthritis (RA). ACPA-positive (ACPA+ ) and ACPA-negative (ACPA- ) RA were suggested to be different disease subsets, with distinct differences in genetic variation and clinical outcomes. The aims of the present study were to compare gene expression profiles in ACPA+ and ACPA- RA, and to identify novel candidate gene signatures that might serve as therapeutic targets. Comprehensive transcriptome analysis of peripheral blood mononuclear cells (PBMCs) from ACPA+ and ACPA- RA patients and healthy controls was performed via RNA sequencing. A validation cohort was used to further investigate differentially expressed genes via polymerase chain reaction (PCR) and enzyme-linked immunosorbent assay (ELISA). Spearman's correlation test was used to evaluate the correlation of differentially expressed genes and the clinical and laboratory data of the patients. The role of differentially expressed genes in osteoclastogenesis was further investigated. Expression of C-X-C motif chemokine ligand 2 (CXCL2) was significantly increased in ACPA+ RA than in ACPA- RA, which was validated in PBMCs and serum. CXCL2 promoted the migration of CD14+ monocytes and increased osteoclastogenesis in RA patients. RAW264.7 macrophages were used to investigate specific mechanisms, and the results suggested that CXCL2 stimulated osteoclastogenesis via extracellular receptor kinase (ERK) mitogen-activated protein kinase (MAPK) and nuclear factor kappa B pathways. In conclusion, CXCL2 was highly expressed in ACPA+ RA than in ACPA- RA. CXCL2 promoted osteoclastogenesis and was related to bone erosion in RA, which suggests that the blockade of CXCL2 might be a novel strategy for the treatment of RA.
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Affiliation(s)
- X Wang
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
| | - L Sun
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
| | - N He
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Z An
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
| | - R Yu
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
| | - C Li
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
| | - Y Li
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - Y Li
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - X Liu
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
| | - X Fang
- Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China
| | - J Zhao
- Department of Rheumatology and Immunology, Peking University Third Hospital, Beijing, China
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50
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Niemantsverdriet E, Dakkak YJ, Burgers LE, Bonte-Mineur F, Steup-Beekman GM, van der Kooij SM, Boom HD, Allaart CF, de Jong PHP, van der Helm-van Mil AHM. TREAT Early Arthralgia to Reverse or Limit Impending Exacerbation to Rheumatoid arthritis (TREAT EARLIER): a randomized, double-blind, placebo-controlled clinical trial protocol. Trials 2020; 21:862. [PMID: 33076964 PMCID: PMC7574479 DOI: 10.1186/s13063-020-04731-2] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 09/08/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND We present a study protocol for a randomized, double-blind, placebo-controlled trial that investigates the hypothesis if intervention in the symptomatic phase preceding clinical arthritis (clinically suspect arthralgia (CSA)) is effective in preventing progression from subclinical inflammation to clinically apparent persistent arthritis. Currently, rheumatoid arthritis (RA) can be recognized and diagnosed when arthritis (joint swelling) has become detectable at physical examination. Importantly, at this time, the immune processes have already matured, chronicity is established, and patients require long-standing treatment with disease-modifying anti-rheumatic drugs. The TREAT EARLIER trial studies the hypothesis that intervention in the symptomatic phase preceding clinical arthritis is more often successful in permanent disease modification because of less matured underlying disease processes. METHODS A two-level definition to identify patients that are prone to develop RA is used. First, patients should have CSA and recent-onset arthralgia (< 1 year) that is suspect to progress to RA according to the expertise of the treating rheumatologist. Second, patients need to have subclinical inflammation of the hand or foot joints at 1.5 T MRI. The trial aims to recruit 230 participants from secondary care hospital settings across the south-west region of The Netherlands. Intervention will be randomly assigned and includes a single-dose of intramuscular 120 mg methylprednisolon followed by methotrexate (increasing dose to 25 mg/week orally) or placebo (both; injection and tablets) over the course of 1 year. Thereafter, participants are followed for another year. The primary endpoint is the development of clinically detectable arthritis, either fulfilling the 2010 criteria for RA or unclassified clinical arthritis of ≥ 2 joints, which persists for at least 2 weeks. DMARD-free status is a co-primary endpoint. The patient-reported outcomes functioning, along with workability and symptoms, are key secondary endpoints. Participants, caregivers (including those assessing the endpoints), and scientific staff are all blinded to the group assignment. DISCUSSION This proof-of-concept study is the logical consequence of pre-work on the identification of patients with CSA with MRI-detected subclinical joint inflammation. It will test the hypothesis whether intervention in patients in this early phase with the cornerstone treatment of classified RA (methotrexate) hampers the development of persistent RA and reduce the disease burden of RA. TRIAL REGISTRATION Dutch Trial Register NL4599 (NTR4853). Registered on 20 October 2014.
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Affiliation(s)
| | - Yousra J Dakkak
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Leonie E Burgers
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Femke Bonte-Mineur
- Department of Rheumatology, Maasstad Hospital, Rotterdam, The Netherlands
| | - Gerda M Steup-Beekman
- Department of Rheumatology, Haaglanden Medical Center - Bronovo, The Hague, The Netherlands
| | | | - Hido D Boom
- Department of Rheumatology, Spaarne Gasthuis, Haarlem, The Netherlands
| | - Cornelia F Allaart
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Pascal H P de Jong
- Department of Rheumatology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Annette H M van der Helm-van Mil
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands.,Department of Rheumatology, Erasmus Medical Center, Rotterdam, The Netherlands
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