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Lorca-Arce D, Pérez-Isidro A, Becerra J, Martínez MJ, De Moner N, Ríos-Garcés R, Prieto-González S, Espinosa G, Cervera R, Andalucía C, Viñas-Gomis O, Ruiz-Ortiz E. Evaluation of a novel particle-based assay for detecting SLE-related autoantibodies. Heliyon 2024; 10:e30767. [PMID: 38778929 PMCID: PMC11108844 DOI: 10.1016/j.heliyon.2024.e30767] [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: 02/06/2024] [Revised: 04/18/2024] [Accepted: 05/04/2024] [Indexed: 05/25/2024] Open
Abstract
Anti-dsDNA, anti-Sm, and anti-ribosomal-P autoantibodies are hallmarks of systemic lupus erythematosus (SLE), being anti-dsDNA and anti-Sm included in 2019-ACR/EULAR SLE-Classification Criteria. Enzyme-linked (ELISA) and chemiluminescence assays (CIA) are widely established in immunology laboratories, but new technologies, such as particle-based multi-analyte technology (PMAT), are nowadays available. The present study aimed to compare the presence of anti-dsDNA and anti-Sm autoantibodies measured by CIA and PMAT and analyze diagnostic and clinical SLE activity performance. Anti-ribosomal-P autoantibodies by PMAT were also included. Consequently, anti-dsDNA and anti-Sm detected by CIA showed substantial agreement with PMAT (Cohen's kappa = 0.662 and 0.671, respectively). Anti-dsDNA autoantibodies measured by PMAT showed a positive correlation with clinical SLEDAI-2K (p < 0.001) and a negative correlation with complement consumption (p < 0.001). Anti-Sm and anti-ribosomal-P autoantibodies showed a positive correlation with SLEDAI-2K (p < 0.001 and p = 0.001, respectively) and a negative correlation with complement consumption (p < 0.001 and p = 0.001, respectively). Finally, anti-Sm autoantibodies were associated with renal involvement (p < 0.05).
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Affiliation(s)
- Daniel Lorca-Arce
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Albert Pérez-Isidro
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Judit Becerra
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Maria José Martínez
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Noemí De Moner
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Roberto Ríos-Garcés
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases (UEC/CSUR) of the Catalan and Spanish Health Systems-Member of ERNReCONNET, Hospital Clínic, Barcelona, Catalonia, Spain
| | - Sergio Prieto-González
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases (UEC/CSUR) of the Catalan and Spanish Health Systems-Member of ERNReCONNET, Hospital Clínic, Barcelona, Catalonia, Spain
| | - Gerard Espinosa
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases (UEC/CSUR) of the Catalan and Spanish Health Systems-Member of ERNReCONNET, Hospital Clínic, Barcelona, Catalonia, Spain
| | - Ricard Cervera
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
- Department of Autoimmune Diseases, Reference Centre for Systemic Autoimmune Diseases (UEC/CSUR) of the Catalan and Spanish Health Systems-Member of ERNReCONNET, Hospital Clínic, Barcelona, Catalonia, Spain
| | - Carmen Andalucía
- Research and Development, Headquarters & Technology Center Autoimmunity, Werfen, San Diego, CA, USA
| | - Odette Viñas-Gomis
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
| | - Estibaliz Ruiz-Ortiz
- Immunology Department, Centre Diagnostic Biomèdic CDB, Hospital Clínic de Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (IDIBAPS), Universitat de Barcelona, Barcelona, Spain
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Torell A, Stockfelt M, Blennow K, Zetterberg H, Akhter T, Leonard D, Rönnblom L, Pihl S, Saleh M, Sjöwall C, Strevens H, Jönsen A, Bengtsson AA, Trysberg E, Majczuk Sennström M, Zickert A, Svenungsson E, Gunnarsson I, Bylund J, Jacobsson B, Rudin A, Lundell AC. Low CD4 + T cell count is related to specific anti-nuclear antibodies, IFNα protein positivity and disease activity in systemic lupus erythematosus pregnancy. Arthritis Res Ther 2024; 26:65. [PMID: 38459582 PMCID: PMC10924387 DOI: 10.1186/s13075-024-03301-0] [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: 10/31/2023] [Accepted: 03/01/2024] [Indexed: 03/10/2024] Open
Abstract
BACKGROUND Lymphopenia, autoantibodies and activation of the type I interferon (IFN) system are common features in systemic lupus erythematosus (SLE). We speculate whether lymphocyte subset counts are affected by pregnancy and if they relate to autoantibody profiles and/or IFNα protein in SLE pregnancy. METHODS Repeated blood samples were collected during pregnancy from 80 women with SLE and 51 healthy controls (HC). Late postpartum samples were obtained from 19 of the women with SLE. Counts of CD4 + and CD8 + T cells, B cells and NK cells were measured by flow cytometry. Positivity for anti-nuclear antibodies (ANA) fine specificities (double-stranded DNA [dsDNA], Smith [Sm], ribonucleoprotein [RNP], chromatin, Sjögren's syndrome antigen A [SSA] and B [SSB]) and anti-phospholipid antibodies (cardiolipin [CL] and β2 glycoprotein I [β2GPI]) was assessed with multiplexed bead assay. IFNα protein concentration was quantified with Single molecule array (Simoa) immune assay. Clinical data were retrieved from medical records. RESULTS Women with SLE had lower counts of all lymphocyte subsets compared to HC throughout pregnancy, but counts did not differ during pregnancy compared to postpartum. Principal component analysis revealed that low lymphocyte subset counts differentially related to autoantibody profiles, cluster one (anti-dsDNA/anti-Sm/anti-RNP/anti-Sm/RNP/anti-chromatin), cluster two (anti-SSA/anti-SSB) and cluster three (anti-CL/anti-β2GPI), IFNα protein levels and disease activity. CD4 + T cell counts were lower in women positive to all ANA fine specificities in cluster one compared to those who were negative, and B cell numbers were lower in women positive for anti-dsDNA and anti-Sm compared to negative women. Moreover, CD4 + T cell and B cell counts were lower in women with moderate/high compared to no/low disease activity, and CD4 + T cell count was lower in IFNα protein positive relative to negative women. Finally, CD4 + T cell count was unrelated to treatment. CONCLUSION Lymphocyte subset counts are lower in SLE compared to healthy pregnancies, which seems to be a feature of the disease per se and not affected by pregnancy. Our results also indicate that low lymphocyte subset counts relate differentially to autoantibody profiles, IFNα protein levels and disease activity, which could be due to divergent disease pathways.
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Affiliation(s)
- Agnes Torell
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Guldhedsgatan 10A, 405 30, Gothenburg, Sweden.
| | - Marit Stockfelt
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Guldhedsgatan 10A, 405 30, Gothenburg, Sweden
- Rheumatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine and Department of Neurology, Institute On Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, People's Republic of China
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Winsconsin Alzheimer's Disease Research Center, School of Medicine and Public Health, University of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Tansim Akhter
- Department of Women's and Children's Health, Section of Obstetrics and Gynecology, Uppsala University, Uppsala, Sweden
| | - Dag Leonard
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Lars Rönnblom
- Department of Medical Sciences, Rheumatology, Uppsala University, Uppsala, Sweden
| | - Sofia Pihl
- Department of Obstetrics and Gynecology, Linköping University Hospital, Linköping, Sweden
- Department of Biomedical and Clinical Sciences, Division of Children's and Women's Health, Linköping University, Linköping, Sweden
| | - Muna Saleh
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Christopher Sjöwall
- Division of Inflammation and Infection, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | - Helena Strevens
- Department of Obstetrics and Gynecology, Institute of Clinical Sciences, Skåne University Hospital, Lund, Sweden
| | - Andreas Jönsen
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Anders A Bengtsson
- Department of Clinical Sciences Lund, Rheumatology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Estelle Trysberg
- Rheumatology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Maria Majczuk Sennström
- Department of Womens and Childrens Health, Division for Obstetrics and Gynecology, Karolinska University Hospital, Karolinska Institute, Stockholm, Sweden
| | - Agneta Zickert
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Elisabet Svenungsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Iva Gunnarsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institute, Karolinska University Hospital, Stockholm, Sweden
| | - Johan Bylund
- Department of Oral Microbiology and Immunology, Institute of Odontology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Bo Jacobsson
- Department of Obstetrics and Gynecology, Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Obstetrics and Gynecology, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
- Department of Genetics and Bioinformatics, Division of Health Data and Digitalisation, Institute of Public Health, Oslo, Norway
| | - Anna Rudin
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Guldhedsgatan 10A, 405 30, Gothenburg, Sweden
| | - Anna-Carin Lundell
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at the University of Gothenburg, Guldhedsgatan 10A, 405 30, Gothenburg, Sweden
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Liu Y, Cheng Z, Zha B, Chen X, Gong Z, Ji L, Wei L. Risk factors of pulmonary arterial hypertension in patients with systemic lupus erythematosus: A meta-analysis. Lupus 2023; 32:1310-1319. [PMID: 37699157 DOI: 10.1177/09612033231202398] [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] [Indexed: 09/14/2023]
Abstract
OBJECTIVE To determine the risk factors of pulmonary arterial hypertension (PAH) related to systemic lupus erythematosus (SLE) through systematic reviews and meta-analyses. METHODS We undertook electronic search strategies using Medline via PubMed, Embase, Web of Science, and Cochrane Library up to April 11, 2023. Study selection and data extraction were performed by 2 authors independently. We made risk of bias judgments based on the Newcastle-Ottawa Scale (NOS). Pooled risk ratios (RRs) and 95% confidence intervals (CIs) were calculated to estimate the overall effect sizes of potential risk factors for PAH in SLE patients. Univariate and multivariate meta-regression models were used to assess the independent effects of each risk factor on PAH. Sensitivity analyses were also conducted to explore potential sources of heterogeneity. RESULTS A total of 19 articles were included in this meta-analysis, and the results showed that gender (female) [RR = 1.04, 95% CI (1.02, 1.06), p = .0001], interstitial lung disease [RR = 4.36, 95% CI (2.42, 7.85), p = .0001], alopecia [RR = 1.39, 95% CI (1.06, 1.83), p = .017], Raynaud's phenomenon [RR = 1.83, 95% CI (1.41, 2.37), p = .0001], systemic hypertension [RR = 1.30, 95% CI (1.07, 1.58), p = .007], serositis [RR = 2.29, 95% CI (1.89, 2.77), p = .0001], pericardial effusion [RR = 3.33, 95% CI (2.20, 5.05), p = .0001], anti-RNP [RR = 1.86, 95% CI (1.19, 2.91), p = .006], anti-SSA [RR = 1.28, 95% CI (1.01, 1.62), p = .041], anti-SSB [RR = 1.38, 95% CI (1.19, 1.60), p = .0001], anti-U1RNP [RR = 1.58, 95% CI (1.07, 2.34), p = .023], thrombocytopenia [RR = 1.38, 95% CI (1.14, 1.68), p = .001], and current smokers [RR = 2.20, 95% CI (1.19, 4.06), p = .012] were all risk factors for PAH related to SLE. CONCLUSION PAH is a serious complication of SLE. Since prognosis of SLE patients after the occurrence of PAH is poor, routine examination should be conducted for SLE patients with PAH risk factors.
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Affiliation(s)
- Yuqi Liu
- Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Zhen Cheng
- Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Bowen Zha
- Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Xiaodong Chen
- Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Zhiyu Gong
- Beijing Luhe Hospital, Capital Medical University, Beijing, China
| | - Lang Ji
- Central Laboratory, Beijing Luhe Clinical Institute, Capital Medical University, Beijing, China
| | - Lingling Wei
- Beijing Key Laboratory of Diabetic Prevention and Research, Center for Endocrine Metabolism and Immune Diseases, Beijing Luhe Hospital, Capital Medical University, Beijing, China
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Choi MY, Chen I, Clarke AE, Fritzler MJ, Buhler KA, Urowitz M, Hanly J, St-Pierre Y, Gordon C, Bae SC, Romero-Diaz J, Sanchez-Guerrero J, Bernatsky S, Wallace DJ, Isenberg DA, Rahman A, Merrill JT, Fortin PR, Gladman DD, Bruce IN, Petri M, Ginzler EM, Dooley MA, Ramsey-Goldman R, Manzi S, Jönsen A, Alarcón GS, van Vollenhoven RF, Aranow C, Mackay M, Ruiz-Irastorza G, Lim S, Inanc M, Kalunian K, Jacobsen S, Peschken C, Kamen DL, Askanase A, Buyon JP, Sontag D, Costenbader KH. Machine learning identifies clusters of longitudinal autoantibody profiles predictive of systemic lupus erythematosus disease outcomes. Ann Rheum Dis 2023:ard-2022-223808. [PMID: 37085289 DOI: 10.1136/ard-2022-223808] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 04/06/2023] [Indexed: 04/23/2023]
Abstract
OBJECTIVES A novel longitudinal clustering technique was applied to comprehensive autoantibody data from a large, well-characterised, multinational inception systemic lupus erythematosus (SLE) cohort to determine profiles predictive of clinical outcomes. METHODS Demographic, clinical and serological data from 805 patients with SLE obtained within 15 months of diagnosis and at 3-year and 5-year follow-up were included. For each visit, sera were assessed for 29 antinuclear antibodies (ANA) immunofluorescence patterns and 20 autoantibodies. K-means clustering on principal component analysis-transformed longitudinal autoantibody profiles identified discrete phenotypic clusters. One-way analysis of variance compared cluster enrolment demographics and clinical outcomes at 10-year follow-up. Cox proportional hazards model estimated the HR for survival adjusting for age of disease onset. RESULTS Cluster 1 (n=137, high frequency of anti-Smith, anti-U1RNP, AC-5 (large nuclear speckled pattern) and high ANA titres) had the highest cumulative disease activity and immunosuppressants/biologics use at year 10. Cluster 2 (n=376, low anti-double stranded DNA (dsDNA) and ANA titres) had the lowest disease activity, frequency of lupus nephritis and immunosuppressants/biologics use. Cluster 3 (n=80, highest frequency of all five antiphospholipid antibodies) had the highest frequency of seizures and hypocomplementaemia. Cluster 4 (n=212) also had high disease activity and was characterised by multiple autoantibody reactivity including to antihistone, anti-dsDNA, antiribosomal P, anti-Sjögren syndrome antigen A or Ro60, anti-Sjögren syndrome antigen B or La, anti-Ro52/Tripartite Motif Protein 21, antiproliferating cell nuclear antigen and anticentromere B). Clusters 1 (adjusted HR 2.60 (95% CI 1.12 to 6.05), p=0.03) and 3 (adjusted HR 2.87 (95% CI 1.22 to 6.74), p=0.02) had lower survival compared with cluster 2. CONCLUSION Four discrete SLE patient longitudinal autoantibody clusters were predictive of long-term disease activity, organ involvement, treatment requirements and mortality risk.
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Affiliation(s)
- May Yee Choi
- Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Irene Chen
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Ann Elaine Clarke
- Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Marvin J Fritzler
- Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Katherine A Buhler
- Medicine, University of Calgary Cumming School of Medicine, Calgary, Alberta, Canada
| | - Murray Urowitz
- Center for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto, Lupus Clinic, Toronto, Ontario, Canada
| | - John Hanly
- Division of Rheumatology, Department of Medicine and Department of Pathology, Queen Elizabeth II Health Sciences Centre and Dalhousie University, Halifax, Nova Scotia, Canada
| | - Yvan St-Pierre
- Medicine, Research Institute of the McGill University Health Center, Montreal, Quebec, Canada
| | - Caroline Gordon
- Rheumatology Research Group, Institute of Inflammation and Ageing, College of Medical and Dental Sciences, Birmingham University Medical School, Birmingham, West Midlands, UK
| | - Sang-Cheol Bae
- Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Hanyang University Institute for Rheumatology and Hanyang University Institute of Bioscience and Biotechnology, Seoul, The Republic of Korea
| | - Juanita Romero-Diaz
- Immunology and Rheumatology, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico
| | - Jorge Sanchez-Guerrero
- Mount Sinai Hospital and University Health Network, University of Toronto, Toronto, Ontario, Canada
| | - Sasha Bernatsky
- Divisions of Rheumatology and Clinical Epidemiology, McGill University Health Centre, Montreal, Quebec, Canada
| | - Daniel J Wallace
- Division of Rheumatology, Cedars-Sinai/David Geffen School of Medicine at UCLA, Los Angeles, California, USA
| | - David Alan Isenberg
- Centre for Rheumatology, Department of Medicine, University College London, London, UK
| | - Anisur Rahman
- Centre for Rheumatology, Department of Medicine, University College London, London, UK
| | - Joan T Merrill
- Department of Clinical Pharmacology, Oklahoma Medical Research Foundation, Oklahoma City, Oklahoma, USA
| | - Paul R Fortin
- Division of Rheumatology, CHU de Québec - Université Laval, Quebec City, Quebec, Canada
| | - Dafna D Gladman
- Center for Prognosis Studies in the Rheumatic Diseases, Toronto Western Hospital, University of Toronto, Lupus Clinic, Toronto, Ontario, Canada
| | - Ian N Bruce
- Epidemiology Unit, University of Manchester, Manchester, UK
| | - Michelle Petri
- Division of Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Ellen M Ginzler
- Department of Medicine, SUNY Downstate Medical Center, Brooklyn, New York, USA
| | - Mary Anne Dooley
- Thurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Rosalind Ramsey-Goldman
- Department of Medicine, Division of Rheumatology, Northwestern University and Feinberg School of Medicine, Chicago, Illinois, USA
| | - Susan Manzi
- Medicine, Allegheny Health Network, Pittsburgh, Pennsylvania, USA
| | | | - Graciela S Alarcón
- Department of Medicine, The University of Alabama at Birmingham Heersink School of Medicine, Birmingham, Alabama, USA
| | | | - Cynthia Aranow
- Division of Autoimmune and Musculoskeletal Disease, Feinstein Institute for Medical Research, Manhasset, New York, USA
| | - Meggan Mackay
- Division of Autoimmune and Musculoskeletal Disease, Feinstein Institute for Medical Research, Manhasset, New York, USA
| | - Guillermo Ruiz-Irastorza
- Autoimmune Diseases Research Unit, Department of Internal Medicine, BioCruces Health Research Institute, Hospital Universitario Cruces, University of the Basque Country, Barakaldo, Spain
| | - Sam Lim
- Division of Rheumatology, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Murat Inanc
- Department of Internal Medicine, Division of Rheumatology, Istanbul University, Istanbul Medical Faculty, Istanbul, Turkey
| | - Kenneth Kalunian
- Department of Rheumatology, Allergy and Immunology, University of California San Diego, La Jolla, California, USA
| | - Søren Jacobsen
- Department of Rheumatology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Diane L Kamen
- Division of Rheumatology & Immunology, Medical University of South Carolina, Charleston, South Carolina, USA
| | - Anca Askanase
- Hospital for Joint Diseases, New York University, Seligman Centre for Advanced Therapeutics, New York, New York, USA
| | - Jill P Buyon
- Division of Rheumatology, New York University School of Medicine, New York, New York, USA
| | - David Sontag
- Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Karen H Costenbader
- Department of Medicine, Division of Rheumatology, Inflammation and Immunity, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Medicine, Harvard Medical School, Boston, Massachusetts, USA
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Zhao DT, Yan HP, Liao HY, Liu YM, Han Y, Zhang HP, Zhang WM, Huang CY, Liu XH, Lou JL, Zhao Y. Using two-step cluster analysis to classify inpatients with primary biliary cholangitis based on autoantibodies: A real-world retrospective study of 537 patients in China. Front Immunol 2023; 13:1098076. [PMID: 36685575 PMCID: PMC9845730 DOI: 10.3389/fimmu.2022.1098076] [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: 11/14/2022] [Accepted: 12/14/2022] [Indexed: 01/06/2023] Open
Abstract
Background A variety of autoantibodies have been detected in primary biliary cholangitis (PBC), while the presence of autoantibody clusters and their clinical significance have not been fully understood. We aimed at defining autoantibody clusters and to better understand the clinical features and prognosis of PBC patients based on autoantibody clusters under real-world conditions. Methods We retrospectively analyzed 788 inpatients with PBC evaluated between October 2008 and July 2019, and included 537 patients. Nineteen autoantibodies which were measured routinely were investigated for cluster analysis. Two-step clustering, Kaplan-Meier survival, and Cox regression analyses were used. Results Five clusters were defined. A cluster of antinuclear antibodies (ANA) and anti-gp210 positive patients were identified with a high rate of cirrhosis at baseline and low survival rate; a cluster of ANA, anti-centromere antibodies (ACA) and/or anti-CENP-B female dominant patients with older disease onset, low level of platelet count at baseline, high rate of hepatic decompensation, and low survival rate was also characterized; and another cluster of anti-mitochondrial antibodies (AMA) and/or AMA-M2, anti-Ro52 and a high rate of anti-gp210 positive patients were identified with a high proportion of male patients and low survival rate. A subgroup of patients with anti-SSA and/or anti-SSB coexists with SjS was also identified; patients with only AMA and/or AMA-M2-positive with a benign clinical outcome and relatively high complication of non-alcoholic fatty liver disease (NAFLD) were also identified. Only anti-gp210 was considered as a significant predictor for poor outcomes especially in patients with cirrhosis. Conclusion Clustering methods allow the identification of distinct autoantibody profiles of PBC that form clinical subsets and can be useful for personalized approaches to diagnosis, clinical management, and the prediction of clinical outcomes. Anti-gp210 was the strongest predictive factor for poor outcomes especially in PBC patients with cirrhosis under real-world conditions.
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Affiliation(s)
- Dan-Tong Zhao
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China,*Correspondence: Dan-Tong Zhao, ; ; Yan Zhao,
| | - Hui-Ping Yan
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China,Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Hui-Yu Liao
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Yan-Min Liu
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Ying Han
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Hai-Ping Zhang
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Wei-Ming Zhang
- Department of Clinical Laboratory Diagnosis, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Chun-Yang Huang
- Second Department of Liver Disease Center, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Xiu-Hong Liu
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Jin-Li Lou
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China
| | - Yan Zhao
- Clinical Laboratory Center and Clinical Research Center for Autoimmune Liver Disease, Beijing You’An Hospital, Capital Medical University, Beijing, China,Clinical Laboratory Center, Beijing Chest Hospital, Capital Medical University, Beijing, China,*Correspondence: Dan-Tong Zhao, ; ; Yan Zhao,
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Abdelrahman W, Sakr SA, Gohar N. Impact of antiphospholipid syndrome on disease characteristics and outcome in patients with systemic lupus erythematosus. THE EGYPTIAN RHEUMATOLOGIST 2023. [DOI: 10.1016/j.ejr.2022.11.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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Shi Y, Zhao J, Jiang H, Huang C, Qi W, Song Y, Wang Q, Li M, Tian X, Zhao Y, Zeng X. Thrombocytopenia in primary antiphospholipid syndrome: association with prognosis and clinical implications. Rheumatology (Oxford) 2022; 62:256-263. [PMID: 35536236 DOI: 10.1093/rheumatology/keac264] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Revised: 03/22/2022] [Accepted: 04/19/2022] [Indexed: 12/27/2022] Open
Abstract
OBJECTIVES Thrombocytopenia, a frequent clinical manifestation in patients with APS, could be an independent predictor of recurrent thrombotic, obstetric and severe extracriteria events. METHODS This single-centre prospective study enrolled 218 consecutive patients diagnosed with primary APS between 2010 and 2021. Thrombocytopenia was defined as a platelet count less than 100 × 109/L. RESULTS Our cohort included 74 (33.94%) patients with thrombocytopenia and 144 patients with a continuous normal platelet count. Comparison of baseline characteristics indicated that patients with thrombocytopenia had more visceral venous thromboses [10 (13.51%) vs 5(3.47%); P = 0.009] and extracriteria manifestations [mainly haemolytic anaemia; 20 (27.03%) vs 17 (11.81%); P = 0.007]. Hypocomplementemia was more likely among patients with thrombocytopenia [19 (25.68%) vs 16 (11.11%); P = 0.01]. The presence of aCL-IgG/IgM, anti-β2-glycoprotein I and lupus anticoagulant were more frequently detected in patients with thrombocytopenia. In survival analysis, thrombotic, obstetric and severe extracriteria survival rates were significantly worse in patients with thrombocytopenia. In multivariate Cox regression, thrombocytopenia was an independent risk factor for all endpoint events, including thrombotic events [hazard ratio (HR) 2.93 (95% CI 1.31, 6.56), P = 0.009], pregnancy morbidity [HR 8.00 (95% CI 2.43, 26.37), P = 0.0006] and severe extracriteria events [HR 15.27 (95% CI 1.85, 125.98), P = 0.01]. CONCLUSION Thrombocytopenia could identify primary APS patients at high risk of developing thrombotic events, pregnancy morbidity and severe extracriteria events.
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Affiliation(s)
- Yu Shi
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital
| | - Jiuliang Zhao
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital.,National Clinical Research Center for Dermatologic and Immunologic Diseases
| | - Hui Jiang
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital
| | - Can Huang
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital.,National Clinical Research Center for Dermatologic and Immunologic Diseases
| | - Wanting Qi
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital
| | | | - Qian Wang
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital.,National Clinical Research Center for Dermatologic and Immunologic Diseases
| | - Mengtao Li
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital.,National Clinical Research Center for Dermatologic and Immunologic Diseases
| | - Xinping Tian
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital.,National Clinical Research Center for Dermatologic and Immunologic Diseases
| | - Yongqiang Zhao
- Department of Hematology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - Xiaofeng Zeng
- Department of Rheumatology, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital.,National Clinical Research Center for Dermatologic and Immunologic Diseases
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8
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Aseeva EA, Lila AM, Soloviev SK, Nasonov EL, Glukhova SI. Clinical and immunological phenotypes of systemic lupus erythematosus, identified based on cluster analysis of data from 400 patients from V.A. Nasonova Research Institute of Rheumatology. MODERN RHEUMATOLOGY JOURNAL 2022. [DOI: 10.14412/1996-7012-2022-5-13-21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Objective: to identify clinical and immunological variants (phenotypes) of systemic lupus erythematosus (SLE) using cluster analysis.Patients and methods. The study included 400 patients with diagnosis of SLE according to the 2012 SLICC classification criteria. Patients underwent laboratory and immunological workup according to accepted standards of medical care for patients with SLE, and therapy was prescribed in accordance with disease activity.Results and discussion. Among patients, most were females (ratio of men and women – 1:10), and people of young age (34.2±11.5 years), with an average duration of illness of 6 [3; 12] years. In 98 (25%) patients with SLE, the disease debuted before the age of 18 years. Lupus nephritis (LN) was detected in 192 (48%) patients, SLE with antiphospholipid syndrome (APS) – in 48 (12%), SLE with Sjцgren's syndrome – in 44 (11%). For cluster analysis 30 clinical, 4 laboratory, 12 immunological and 10 therapeutic parameters were selected and a dendrogram was constructed with the calculation of the Euclidean distance using the Ward method. As a result, five clusters of SLE were identified: with the development of LN; with predominantly extrarenal manifestations; SLE combined with APS; SLE combined with Sjцgren's syndrome; SLE with a debut in childhood (up to 18 years of age). Clusters differed in clinical, laboratory and immunological parameters, as well as in therapy.Conclusion. Cluster analysis data made it possible to group the selected signs into five clinical and immunological variants (phenotypes) of SLE. Identification of SLE phenotypes as a set of characteristics that, individually or in combination, make it possible to determine differences between patients based on clinical, laboratory and immunological parameters, variants of the onset and course of the disease, response to therapy and prognosis, will contribute to a personalized approach in choosing the therapy, improving its long-term results, as well as quality of life and prognosis in patients with SLE.
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Affiliation(s)
- E. A. Aseeva
- V.A. Nasonova Research Institute of Rheumatology
| | - A. M. Lila
- Russian Medical Academy of Continuing Professional Education
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9
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The promise of precision medicine in rheumatology. Nat Med 2022; 28:1363-1371. [PMID: 35788174 PMCID: PMC9513842 DOI: 10.1038/s41591-022-01880-6] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 05/23/2022] [Indexed: 01/07/2023]
Abstract
Systemic autoimmune rheumatic diseases (SARDs) exhibit extensive heterogeneity in clinical presentation, disease course, and treatment response. Therefore, precision medicine - whereby treatment is tailored according to the underlying pathogenic mechanisms of an individual patient at a specific time - represents the 'holy grail' in SARD clinical care. Current strategies include treat-to-target therapies and autoantibody testing for patient stratification; however, these are far from optimal. Recent innovations in high-throughput 'omic' technologies are now enabling comprehensive profiling at multiple levels, helping to identify subgroups of patients who may taper off potentially toxic medications or better respond to current molecular targeted therapies. Such advances may help to optimize outcomes and identify new pathways for treatment, but there are many challenges along the path towards clinical translation. In this Review, we discuss recent efforts to dissect cellular and molecular heterogeneity across multiple SARDs and future directions for implementing stratification approaches for SARD treatment in the clinic.
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10
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Chaudhari S, Pham GS, Brooks CD, Dinh VQ, Young-Stubbs CM, Shimoura CG, Mathis KW. Should Renal Inflammation Be Targeted While Treating Hypertension? Front Physiol 2022; 13:886779. [PMID: 35770194 PMCID: PMC9236225 DOI: 10.3389/fphys.2022.886779] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Accepted: 05/17/2022] [Indexed: 11/28/2022] Open
Abstract
Despite extensive research and a plethora of therapeutic options, hypertension continues to be a global burden. Understanding of the pathological roles of known and underexplored cellular and molecular pathways in the development and maintenance of hypertension is critical to advance the field. Immune system overactivation and inflammation in the kidneys are proposed alternative mechanisms of hypertension, and resistant hypertension. Consideration of the pathophysiology of hypertension in chronic inflammatory conditions such as autoimmune diseases, in which patients present with autoimmune-mediated kidney inflammation as well as hypertension, may reveal possible contributors and novel therapeutic targets. In this review, we 1) summarize current therapies used to control blood pressure and their known effects on inflammation; 2) provide evidence on the need to target renal inflammation, specifically, and especially when first-line and combinatory treatment efforts fail; and 3) discuss the efficacy of therapies used to treat autoimmune diseases with a hypertension/renal component. We aim to elucidate the potential of targeting renal inflammation in certain subsets of patients resistant to current therapies.
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11
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Wang RR, Yuan TY, Wang JM, Chen YC, Zhao JL, Li MT, Fang LH, Du GH. Immunity and inflammation in pulmonary arterial hypertension: From pathophysiology mechanisms to treatment perspective. Pharmacol Res 2022; 180:106238. [DOI: 10.1016/j.phrs.2022.106238] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Revised: 04/27/2022] [Accepted: 04/27/2022] [Indexed: 02/08/2023]
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12
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Autoantibody cluster analysis in juvenile lupus nephritis. Clin Rheumatol 2022; 41:2375-2381. [DOI: 10.1007/s10067-022-06146-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 03/16/2022] [Accepted: 03/22/2022] [Indexed: 11/03/2022]
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13
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Barliana MI, Afifah NN, Amalia R, Hamijoyo L, Abdulah R. Genetic Polymorphisms and the Clinical Response to Systemic Lupus Erythematosus Treatment Towards Personalized Medicine. Front Pharmacol 2022; 13:820927. [PMID: 35370680 PMCID: PMC8972168 DOI: 10.3389/fphar.2022.820927] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 02/25/2022] [Indexed: 12/14/2022] Open
Abstract
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease characterized by a broad spectrum of clinical manifestations, an aberrant autoimmune response to self-antigens, which affect organs and tissues. There are several immune-pathogenic pathways, but the exact one is still not well known unless it is related to genetics. SLE and other autoimmune diseases are known to be inseparable from genetic factors, not only pathogenesis but also regarding the response to therapy. Seventy-one human studies published in the last 10 years were collected. Research communications, thesis publication, reviews, expert opinions, and unrelated studies were excluded. Finally, 32 articles were included. A polymorphism that occurs on the genes related to drugs pharmacokinetic, such as CYP, OATP, ABC Transporter, UGT, GST or drug-target pharmacodynamics, such as FCGR, TLR, and BAFF, can change the level of gene expression or its activity, thereby causing a variation on the clinical response of the drugs. A study that summarizes gene polymorphisms influencing the response to SLE therapy is urgently needed for personalized medicine practices. Personalized medicine is an effort to provide individual therapy based on genetic profiles, and it gives better and more effective treatments for SLE and other autoimmune disease patients.
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Affiliation(s)
- Melisa Intan Barliana
- Department of Biological Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
- Centre of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
- *Correspondence: Melisa Intan Barliana,
| | - Nadiya Nurul Afifah
- Centre of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
| | - Riezki Amalia
- Centre of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
| | - Laniyati Hamijoyo
- Department of Internal Medicine, Rheumatology Division, Faculty of Medicine, Universitas Padjadjaran, Hasan Sadikin Hospital, Bandung, Indonesia
| | - Rizky Abdulah
- Centre of Excellence in Higher Education for Pharmaceutical Care Innovation, Universitas Padjadjaran, Bandung, Indonesia
- Department of Pharmacology and Clinical Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Bandung, Indonesia
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14
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Barbacki A, Rached-d'Astous N, Pineau CA, Vinet E, Grenier LP, Kalache F, Fallavollita S, Lukusa L, Bernatsky S. Clinical Significance of Raynaud Phenomenon in Systemic Lupus Erythematosus. J Clin Rheumatol 2022; 28:e488-e490. [PMID: 35192594 DOI: 10.1097/rhu.0000000000001773] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
OBJECTIVE There are limited reports of the clinical significance of Raynaud phenomenon (RP) in systemic lupus erythematosus (SLE), with some suggesting RP is associated with less severe lupus. Since most prior studies were small and/or focused on a specific race/ethnic demographic, it is unclear if those results are generalizable. We evaluated whether RP was associated with demographic and clinical factors in a large multiethnic SLE cohort. METHODS We studied Montreal General Hospital SLE cohort patients who are followed with standardized annual assessments. We included patients with at least 1 visit across 2011-2018 and assessed demographic and clinical variables (using the 1997 American College of Rheumatology criteria and the Systemic Lupus International Collaborating Clinics/American College of Rheumatology Damage Index) at their first visit. We present multivariate logistics regression analyses of cross-sectional associations between these variables and RP in SLE. RESULTS Of 489 SLE patients, most were female (n = 445, 91%). Mean age at SLE diagnosis was 31.5 (standard deviation, 13.5) years, and 169 (34.6%) had RP. In our fully adjusted model, female sex (odds ratio [OR], 2.43; 95% confidence interval [CI], 1.07-6.03), White race/ethnicity (OR, 1.85; 95% CI, 1.10-3.17), neurological/neuropsychiatric manifestations (OR, 1.98; 95% CI, 1.10-3.56), and anti-RNP antibodies (OR, 3.03; 95% CI, 1.73-5.38) were positively associated with RP, whereas hemolytic anemia and cellular casts were negatively associated. CONCLUSIONS/DISCUSSION Over one third of our large multiethnic North American SLE cohort had RP. This study confirmed associations between RP and a specific SLE phenotype.
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15
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Uludağ Ö, Çene E, Gurel E, Çetin Ç, Bektaş M, Yalçınkaya Y, Diz-Küçükkaya R, Gül A, Inanç M, Artim-Esen B. Description of damage in different clusters of patients with antiphospholipid syndrome. Lupus 2022; 31:433-442. [PMID: 35166607 DOI: 10.1177/09612033221079781] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
OBJECTIVE To identify the different clinical phenotypes of antiphospholipid syndrome (APS) by using cluster analysis and describe cumulative damage of disease clusters. METHODS This retrospective study includes patients with APS (±systemic lupus erythematosus (SLE)). Two-step cluster analysis was applied by considering clinical data. Damage was calculated for all patients by applying damage index for APS (DIAPS). RESULTS A total of 237 patients (198 females; median age of 43 years; median follow-up of 9.5 years) were classified into four clusters. Cluster 1 (n = 74) consisted of older patients with arterial-predominant thrombosis, livedo reticularis, and increased cardiovascular risk; cluster 2 (n = 70) of SLE+APS patients with thrombocytopenia and heart valve disease; cluster 3 (n = 59) of patients with venous-predominant thrombosis, less extra-criteria manifestations; and cluster 4 (n = 34) of patients with only pregnancy morbidity with lower frequency of extra-criteria features and cardiovascular risk. Patients with SLE+APS (n = 123) had the highest mean DIAPS. Regarding clusters, 1 and 2 had high cumulative damage. While cumulative survival rates of clusters did not differ, cluster 2 and 3 had lower survival rates at further years. There was no correlation between DIAPS and mortality. CONCLUSION SLE+APS patients with extra-criteria manifestations and older APS patients with arterial thrombosis and increased cardiovascular risk have higher cumulative damage. Effective treatment of SLE disease activity and control of cardiovascular risk may help to reduce cumulative damage in these patients.
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Affiliation(s)
- Ömer Uludağ
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Erhan Çene
- Department of Statistics, Faculty of Arts and Sciences, 563618Yildiz Technical University, Istanbul, Turkey
| | - Erdem Gurel
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Çiğdem Çetin
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Murat Bektaş
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Yasemin Yalçınkaya
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Reyhan Diz-Küçükkaya
- Department of Molecular Biology and Genetics, Faculty of Sciences, 369915Istanbul University, Istanbul, Turkey
| | - Ahmet Gül
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Murat Inanç
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
| | - Bahar Artim-Esen
- Division of Rheumatology Department of Internal Medicine, Istanbul Faculty of Medicine, 64041Istanbul University, Istanbul, Turkey
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16
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Li H, Zheng Y, Chen L, Lin S. High titers of antinuclear antibody and the presence of multiple autoantibodies are highly suggestive of systemic lupus erythematosus. Sci Rep 2022; 12:1687. [PMID: 35105907 PMCID: PMC8807846 DOI: 10.1038/s41598-022-05807-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 01/18/2022] [Indexed: 11/30/2022] Open
Abstract
The aim of this study is to evaluate the relationship between antinuclear antibody (ANA) titer and specificity, as well as the relationship between the number of positive-autoantibodies (AAbs) in antinuclear antibodies (ANAs) and specificity for systemic lupus erythematosus (SLE), so as to explore their significance in the diagnosis of SLE. A total of 1297 patients with ANA results was enrolled in this study, including 148 patients with SLE patients. The sensitivity, specificity, sensitive likelihood ratio and specific likelihood ratio of indicators in SLE were determined by receiver–operator characteristic (ROC) curve after measurement of ANA and ANAs by indirect immunofluorescence (IIF) and immunoblotting, respectively. ROC analysis showed that the specificity of ANA titer ≥ 1 +, ≥ 2 + and ≥ 3 + for SLE was estimated to be 81.29%, 90.69% and 96.52% respectively, with a increased titer-specific likelihood ratio (5.16, 9.29 and 19.60, respectively). The specificity of the number of positive-AAbs ≥ 1, ≥ 2 and ≥ 3 in ANAs for SLE was estimated to be 80.42%, 94.95% and 99.3% respectively, with a increased number-specific likelihood ratio (4.8, 15.26 and 72.48, respectively). The estimated sensitivity of the number of positive-AAbs ≥ 3, AnuA and anti-rRNP was higher than that of anti-Sm (p < 0.01) (50.68%, 41.89% and 31.76% vs. 16.89%, respectively), while there was no significant difference in their specificity (99.3%, 99.74% and 99.56% vs. 99.74%, respectively) (p > 0.05). High titers of ANA and the presence of multiple AAbs in ANAs are highly specific for SLE and highly suggestive of SLE. The likelihood of SLE can be assessed by ANA titer and the number of positive-AAbs in ANAs.
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Affiliation(s)
- Hejun Li
- Department of Rheumatology, Fujian Medical University Union Hospital, Fuzhou, China.
| | - Yiqing Zheng
- Department of Rheumatology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Ling Chen
- Department of Rheumatology, Fujian Medical University Union Hospital, Fuzhou, China
| | - Shunping Lin
- Department of Rheumatology, Fujian Medical University Union Hospital, Fuzhou, China.
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Diaz-Gallo LM, Oke V, Lundström E, Elvin K, Ling Wu Y, Eketjäll S, Zickert A, Gustafsson JT, Jönsen A, Leonard D, Birmingham DJ, Nordmark G, Bengtsson AA, Rönnblom L, Gunnarsson I, Yu CY, Padyukov L, Svenungsson E. Four Systemic Lupus Erythematosus Subgroups, Defined by Autoantibodies Status, Differ Regarding HLA-DRB1 Genotype Associations and Immunological and Clinical Manifestations. ACR Open Rheumatol 2021; 4:27-39. [PMID: 34658170 PMCID: PMC8754019 DOI: 10.1002/acr2.11343] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2021] [Accepted: 07/23/2021] [Indexed: 12/20/2022] Open
Abstract
Objective The heterogeneity of systemic lupus erythematosus (SLE) constitutes clinical and therapeutical challenges. We therefore studied whether unrecognized disease subgroups can be identified by using autoantibody profiling together with HLA‐DRB1 alleles and immunological and clinical data. Methods An unsupervised cluster analysis was performed based on detection of 13 SLE‐associated autoantibodies (double‐stranded DNA, nucleosomes, ribosomal P, ribonucleoprotein [RNP] 68, RNPA, Smith [Sm], Sm/RNP, Sjögren's syndrome antigen A [SSA]/Ro52, SSA/Ro60, Sjögren's syndrome antigen B [SSB]/La, cardiolipin [CL]‐Immunoglobulin G [IgG], CL–Immunoglobulin M [IgM], and β2 glycoprotein I [β2GPI]–IgG) in 911 patients with SLE from two cohorts. We evaluated whether each SLE subgroup is associated with HLA‐DRB1 alleles, clinical manifestations (n = 743), and cytokine levels in circulation (n = 446). Results Our analysis identified four subgroups among the patients with SLE. Subgroup 1 (29.3%) was dominated by anti‐SSA/Ro60/Ro52/SSB autoantibodies and was strongly associated with HLA‐DRB1*03 (odds ratio [OR] = 4.73; 95% confidence interval [CI] = 4.52‐4.94). Discoid lesions were more common for this disease subgroup (OR = 1.71, 95% CI = 1.18‐2.47). Subgroup 2 (28.7%) was dominated by anti‐nucleosome/SmRNP/DNA/RNPA autoantibodies and associated with HLA‐DRB1*15 (OR = 1.62, 95% CI = 1.41‐1.84). Nephritis was most common in this subgroup (OR = 1.61, 95% CI = 1.14‐2.26). Subgroup 3 (23.8%) was characterized by anti‐ß2GPI‐IgG/anti‐CL–IgG/IgM autoantibodies and a higher frequency of HLA‐DRB1*04 compared with the other patients with SLE. Vascular events were more common in Subgroup 3 (OR = 1.74, 95% CI = 1.2‐2.5). Subgroup 4 (18.2%) was negative for the investigated autoantibodies, and this subgroup was not associated with HLA‐DRB1. Additionally, the levels of eight cytokines significantly differed among the disease subgroups. Conclusion Our findings suggest that four fairly distinct subgroups can be identified on the basis of the autoantibody profile in SLE. These four SLE subgroups differ regarding associations with HLA‐DRB1 alleles and immunological and clinical features, suggesting dissimilar disease pathways.
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Affiliation(s)
- Lina-Marcela Diaz-Gallo
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Vilija Oke
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Emeli Lundström
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Kerstin Elvin
- Department of Clinical Immunology and Transfusion Medicine, Unit of Clinical Immunology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Yee Ling Wu
- The Research Institute at Nationwide Children's Hospital, Columbus, Ohio.,Department of Microbiology and Immunology, Loyola University Chicago, lk, Illinois
| | - Susanna Eketjäll
- Research and Early Development, Cardiovascular, Renal and Metabolism, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden
| | - Agneta Zickert
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden
| | - Johanna T Gustafsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden
| | - Andreas Jönsen
- Department of Clinical Sciences, Section of Rheumatology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Dag Leonard
- Department of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden
| | | | - Gunnel Nordmark
- Department of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden
| | - Anders A Bengtsson
- Department of Clinical Sciences, Section of Rheumatology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Lars Rönnblom
- Department of Medical Sciences, Section of Rheumatology, Uppsala University, Uppsala, Sweden
| | - Iva Gunnarsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden
| | - Chack-Yung Yu
- The Research Institute at Nationwide Children's Hospital, Columbus, Ohio
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden.,Center for Molecular Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - Elisabet Svenungsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinksa University Hospital, Stockholm, Sweden
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Antiphospholipid antibodies and the risk of autoimmune hemolytic anemia in patients with systemic lupus erythematosus: A systematic review and meta-analysis. Autoimmun Rev 2021; 21:102913. [PMID: 34371159 DOI: 10.1016/j.autrev.2021.102913] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2021] [Accepted: 08/04/2021] [Indexed: 01/28/2023]
Abstract
BACKGROUND According to criteria for the classification of Systemic Lupus Erythematosus (SLE), autoimmune hemolytic anemia is one of the disease-defining hematologic disorders together with thrombocytopenia. Since the recognition of Antiphospholipid Syndrome (APS), hemolytic anemia was frequently reported but several studies yielded contradictory results on the association between antiphospholipid antibodies (aPL) and hemolytic anemia. Therefore, we evaluated the association of aPL and autoimmune hemolytic anemia in SLE patients by conducting a systematic review and meta-analysis of available literature. METHODS MEDLINE, EMBASE, Cochrane Library, congress abstracts, and reference lists of eligible studies were searched from 1987 to 2020. Studies were selected if they included SLE patients with descriptions of exposure to aPL and occurrence of hemolytic anemia. Three reviewers extracted study characteristics and association data from published reports. Risk estimates were pooled using random effects models and sensitivity analyses. We followed the PRISMA guidelines for all stages of the meta-analysis (Supplemental Table). PROSPERO registration number: CRD42015027376. RESULTS From 3555 articles identified, 38 studies met inclusion criteria and included 8286 SLE patients. 20.5% of aPL-positive SLE patients had hemolytic anemia compared to 8.7% in aPL-negative SLE patients. The overall pooled Odds Ratio (OR) for hemolytic anemia in aPL positive patients was 2.83 (95% CI; 2.12-3.79). Among aPL subtypes, the risk of hemolytic anemia was highest for lupus anticoagulant (OR = 3.37 [95% CI; 2.26-5.04]) and, antiβ2Glycoprotein I antibodies (OR = 3.21 [95% CI; 1.54-6.72]), especially IgM antiβ2Glycoprotein I (OR = 3.01 [95% CI; 1.26, 7.24]). CONCLUSIONS The occurrence of hemolytic anemia was strongly associated with presence of aPL in SLE patients. Interestingly, IgM isotypes indicate an increased risk of hemolytic anemia in SLE.
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Zhang B, Lang Y, Zhang W, Cui L, Deng F. Characteristics and Management of Autoimmune Disease-Associated Cerebral Venous Sinus Thrombosis. Front Immunol 2021; 12:671101. [PMID: 34367137 PMCID: PMC8339549 DOI: 10.3389/fimmu.2021.671101] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Accepted: 07/12/2021] [Indexed: 11/30/2022] Open
Abstract
Cerebral venous sinus thrombosis (CVST) is a central nervous system disease characterised by thrombosis in cerebral venous or dural sinuses. Autoimmune diseases, a series of diseases caused by immune responses to autoantigens, are important causes of CVST. The most common diseases that lead to CVST are Behçet’s syndrome, systemic lupus erythematosus, antiphospholipid syndrome, and Sjögren’s syndrome. Each of these diseases have different clinical and imaging manifestations and treatment for CVST varies by aetiology. This review summarises the characteristics and the current management strategies for autoimmune disease-associated CVST and emphasises controversial therapeutic strategies to provide informative reference information for diagnosis and treatment. Risk factors of autoimmune antigens should not be neglected when unconventional CVST occurs, and both drugs and interventional therapy need further standardisation and discussion with more prospective clinical studies.
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Affiliation(s)
- Baizhuo Zhang
- Department of Neurology, Neuroscience Center, The First Hospital of Jilin University, Jilin University, Changchun, China
| | - Yue Lang
- Department of Neurology, Neuroscience Center, The First Hospital of Jilin University, Jilin University, Changchun, China
| | - Weiguanliu Zhang
- Department of Neurology, Neuroscience Center, The First Hospital of Jilin University, Jilin University, Changchun, China
| | - Li Cui
- Department of Neurology, Neuroscience Center, The First Hospital of Jilin University, Jilin University, Changchun, China
| | - Fang Deng
- Department of Neurology, Neuroscience Center, The First Hospital of Jilin University, Jilin University, Changchun, China
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Pardos-Gea J, Marques-Soares JR, Buján S, Ordi-Ros J, Alijotas-Reig J. Persistent thrombocytopenia predicts poor long-term survival in patients with antiphospholipid syndrome: a 38-year follow-up study. Rheumatology (Oxford) 2021; 61:1053-1061. [PMID: 34115832 DOI: 10.1093/rheumatology/keab475] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 05/25/2021] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To investigate the impact of thrombocytopenia on survival in patients with antiphospholipid syndrome (APS). METHODS Thrombocytopenia and other predictors of outcome were retrospectively evaluated in an antiphospholipid-antibody (aPL)-positive and APS cohort with 38-year follow-up (1980-2018). Thrombocytopenia was defined as < 150 × 109 platelets/l. Hazard ratios (HR) of mortality were calculated using Cox-regression models. RESULTS Among 114 patients, 64% had primary APS, 25% secondary APS, and 10% asymptomatic aPL. Mean follow-up was 19 (5-38) years. ANA (HR 1.8, p= 0.10, 95%CI 0.8-3.6), arterial thrombotic events (HR 7.0, p= 0.016, 95%CI 1.4-3.5), myocardial infarction (HR 8.3, p= 0.03, 95%CI 1.1-59), intracardiac thrombosis (HR 17, p= 0.04, 95%CI 1-279), and thrombocytopenia (HR 2.9, p= 0.004, 95%CI 1.4-6.1) were risk factors for all-cause mortality but in multivariate analysis only thrombocytopenia (HR 2.7, p= 0.01, 95%CI 1.3-6.0) remained significant. Persistent (HR 4.4, p= 0.001, 95%CI 2.1-9.2) and low-moderate thrombocytopenia (HR 2.8, p= 0.01, 95%CI 1.2-6.4) were associated with a significant increase in mortality compared with acute (HR 1.6, p= 0.40, 95%CI 0.5-5.3) and severe forms (HR 2.1, p= 0.30, 95%CI 0.5-9.2). APS patients with vs without thrombocytopenia were more frequently male (58% vs 24%, p= 0.001) with arterial thrombosis (55% vs 32%, p= 0.04), LA positivity (100% vs 87%, p= 0.04), type I aPL profile (89% vs 71%, p= 0.05), and anticoagulant treatment (89% vs 63%, p= 0.01). Thrombosis caused 13% of deaths in thrombocytopenic patients and 1% in those without (p= 0.01). CONCLUSION Thrombocytopenia is an aPL-related manifestation that identifies patients with severe disease phenotype and high thrombotic risk. Persistent low-moderate thrombocytopenia is associated with a reduced long-term survival.
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Affiliation(s)
- José Pardos-Gea
- Universidad Autonoma de Barcelona, Vall d´Hebron University Hospital, Barcelona, Spain
| | | | - Segundo Buján
- Universidad Autonoma de Barcelona, Vall d´Hebron University Hospital, Barcelona, Spain
| | - José Ordi-Ros
- Universidad Autonoma de Barcelona, Vall d´Hebron University Hospital, Barcelona, Spain
| | - Jaume Alijotas-Reig
- Universidad Autonoma de Barcelona, Vall d´Hebron University Hospital, Barcelona, Spain
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21
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Qu J, Li M, Wang Y, Duan X, Luo H, Zhao C, Zhan F, Wu Z, Li H, Yang M, Xu J, Wei W, Wu L, Liu Y, You H, Qian J, Yang X, Huang C, Zhao J, Wang Q, Leng X, Tian X, Zhao Y, Zeng X. Predicting the Risk of Pulmonary Arterial Hypertension in Systemic Lupus Erythematosus: A Chinese Systemic Lupus Erythematosus Treatment and Research Group Cohort Study. Arthritis Rheumatol 2021; 73:1847-1855. [PMID: 34105259 DOI: 10.1002/art.41740] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 03/16/2021] [Indexed: 12/17/2022]
Abstract
OBJECTIVE Pulmonary arterial hypertension (PAH) is a life-threatening complication of systemic lupus erythematosus (SLE). However, there is no algorithm to identify those at high risk. This study was undertaken to develop a prediction model for PAH in patients with lupus that provides individualized risk estimates. METHODS A multicenter, longitudinal cohort study was undertaken from January 2003 to January 2020. The study collected data on 3,624 consecutively evaluated patients diagnosed as having SLE. The diagnosis of PAH was confirmed by right-sided heart catheterization. Cox proportional hazards regression and least absolute shrinkage and selection operator were used to fit the model. Model discrimination, calibration, and decision curve analysis were performed for validation. RESULTS Ninety-two lupus patients (2.54%) developed PAH during a median follow-up of 4.84 years (interquartile range 2.42-8.84). The final prediction model included 5 clinical variables (acute/subacute cutaneous lupus, arthritis, renal disorder, thrombocytopenia, and interstitial lung disease) and 3 autoantibodies (anti-RNP, anti-Ro/SSA and anti-La/SSB). A 10-year PAH probability-predictive nomogram was established. The model was internally validated by Harrell's concordance index (0.78), the Brier score (0.03), and a satisfactory calibration curve. According to the net benefit and predicted probability thresholds, we recommend annual screening in high-risk (>4.62%) lupus patients. CONCLUSION We developed a risk stratification model using routine clinical assessments. This new tool may effectively predict the future risk of PAH in patients with SLE.
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Affiliation(s)
- Jingge Qu
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Mengtao Li
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Yanhong Wang
- Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xinwang Duan
- Second Affiliated Hospital of Nanchang University, Nanchang, China
| | - Hui Luo
- Xiangya Hospital and Central South University, Changsha, China
| | - Cheng Zhao
- First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Feng Zhan
- Hainan General Hospital and Hainan Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Zhenbiao Wu
- Xijing First Affiliated Hospital of the Fourth Military Medical University, Xi'an, China
| | - Hongbin Li
- Affiliated Hospital of Inner Mongolia Medical College, Hohhot, China
| | - Min Yang
- Nanfang Hospital and Southern Medical University, Guangzhou, China
| | - Jian Xu
- First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Wei Wei
- Tianjin Medical University General Hospital, Tianjin, China
| | - Lijun Wu
- People's Hospital of Xinjiang Uygur Autonomous Region, Urumchi, China
| | - Yongtai Liu
- Peking Union Medical College, Chinese Academy of Medical Sciences and Peking Union Medical College Hospital, Beijing, China
| | - Hanxiao You
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Juyan Qian
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xiaoxi Yang
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Can Huang
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Jiuliang Zhao
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Qian Wang
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xiaomei Leng
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xinping Tian
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Yan Zhao
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xiaofeng Zeng
- Chinese Academy of Medical Sciences and Peking Union Medical College, National Clinical Research Center for Dermatologic and Immunologic Diseases, Ministry of Science and Technology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
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22
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Lymphocyte subset clustering analysis in treatment-naive patients with systemic lupus erythematosus. Clin Rheumatol 2020; 40:1835-1842. [PMID: 33128654 DOI: 10.1007/s10067-020-05480-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 10/01/2020] [Accepted: 10/26/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES The aim of the study is to identify clusters of lymphocyte subsets within treatment-naive systemic lupus erythematosus (SLE) patients and evaluate the potential association of these clusters with disease activities. METHODS We conducted a cross-sectional study of consecutive 143 treatment-naive SLE patients in the Affiliated Hospital of Nantong University, China. We used hierarchical cluster analysis to classify individuals into clusters based on circulating lymphocyte subset proportions (CD3+CD4+T cell, CD3+CD8+T cell, CD19+B cell, and CD3-CD16 + CD56 NK cell) via R software. Demographic variables, clinical manifestations, laboratory variables, and disease activities were compared among clusters. RESULTS The SLE patients (median age 35 (26-48) years, 90.9% female) were divided into four clusters. The clustering features were as follows: cluster 1 (B high), cluster 2 (CD4 high), cluster 3 (CD8 high), and cluster 4 (NK high). SLE patients in cluster 1 showed the highest incidence of arthritis (70.6%, 34.2%, 48.3%, and 42.9% in clusters 1, 2, 3, and 4, respectively; P = 0.046), and patients in cluster 3 and cluster 4 showed significantly a higher incidence of nephritis (35.3%, 25.0%, 48.3%, and 61.9% in in clusters 1, 2, 3, and 4, respectively; P = 0.008). Patients in cluster 2 suffered from lower SLE Disease Activity Index (SLEDAI) score (12.1 ± 5.0, 10.3 ± 5.6, 12.2 ± 4.6, and 14.4 ± 7.3 in clusters 1, 2, 3, and 4, respectively; P = 0.046). Regression analysis indicated that, compared with patients in cluster 2, patients in cluster 1 exhibited higher rate of arthritis (OR 4.53, 95% CI 1.38-14.86, P = 0.013), while patients in cluster 3 (OR 2.85, 95%CI 1.15-7.08, P = 0.024) and cluster 4 (OR 4.93, 95%CI 1.76-13.85, P = 0.002) exhibited higher rate of nephritis. CONCLUSION This study supports the existence of lymphocyte subset clusters with different clinical features in treatment-naive SLE patients, which could help to differentiate between various subsets of SLE. Key Points • Lymphocyte subsets may occur in a pattern of cluster in treatment-naive SLE patients.
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23
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Garcia L, Velloso MS, Martire MV, Savy F, Arizpe F, Garcia N, Testi A, Pena C, Costi AC, Isnardi C, Capelusnik D, Mazza S, Curi YS, Collado V, Rodriguez MF, Scarafia S, Pisoni C, de la Torre M, Seewald A, Riva ME, Garcia M. Validation of the adjusted global antiphospholipid syndrome score in systemic lupus erythematosus patients in Argentina. Lupus 2020; 29:1866-1872. [PMID: 33028177 DOI: 10.1177/0961203320960814] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
INTRODUCTION Assessment of risk both for pregnancy morbidity and thrombosis in the presence of anti-phospholipid antibodies (aPL) is still a challenge in Systemic Lupus Erythematosus (SLE) patients. The Global Antiphospholipid Syndrome Score (GAPSS) takes into account the aPL profile (criteria and non-criteria aPL), the conventional cardiovascular risk factors and the autoimmune antibody profile. An adjusted model of the score (aGAPSS) excluding anti-phosphatidylserine/Prothrombin (aPS/PT), suggests that the score is able to stratify patients for their rate of events making it widely applicable in daily clinical practice. OBJECTIVE To validate the aGAPSS in a multicentric cohort of SLE patients in Argentina. PATIENTS AND METHODS consecutive SLE patients with and with andwithout thrombotic events from seven Rheumatologist centers were included. Traditional cardiovascular risk factors, aPL antibodies and medications received (aspirin, hydroxychloroquine and anticoagulation) were collected. The score aGAPSS was calculated for each patient at the last visit by adding together the points corresponding to the risk factors: 1 for hypertension, 3 for dyslipidemia, 4 for LA and B2GPI (IgM or IgG) antibodies and 5 for aCL (IgM or IgG) antibodies. The discriminative ability of the aGAPSS was calculated by measuring the area under the receiver operating characteristic curve (AUC). Multivariate logistic regression analysis was performed to examine the impact of multiple cardiovascular risk factors and laboratory parameters on the occurrence of thrombosis. RESULTS Two hundred and ninety-six SLE patients were included. One-hundred and twenty-one patients (40.9%) presented thrombotic and/or pregnancy complications. Median aGAPSS was significantly higher in patients who experienced an event (thrombosis and/or pregnancy morbidity) compared with those without [4 (IQR 1-9) versus 1 (IQR 0-5); p < 0.001]. The best cut off point for the diagnosis of thrombosis and/or pregnancy complications was aGAPSS ≥4. Multivariate logistic regression analysis showed that aCL antibodies [OR 2.1 (95% CI 1.16-3.90); p = 0.015] were an independent risk factors for thrombotic events. CONCLUSIONS This score is a simple tool, easy to apply to SLE patients in daily practice. The use of the aGAPSS could change the non-pharmacologic and pharmacologic treatment in higher risk patients to improve their survival.
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Affiliation(s)
- Lucila Garcia
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Maria S Velloso
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Maria V Martire
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Florencia Savy
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Fernando Arizpe
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Nadia Garcia
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Adriana Testi
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Claudia Pena
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Ana C Costi
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
| | - Carolina Isnardi
- Sección de Reumatología, Instituto de Rehabilitación Psicofísica (IREP), Ciudad de Buenos Aires, Argentina
| | - Dafne Capelusnik
- Sección de Reumatología, Instituto de Rehabilitación Psicofísica (IREP), Ciudad de Buenos Aires, Argentina
| | - Susana Mazza
- Servicio de Reumatología, Hospital Ángel C. Padilla, San Miguel de Tucumán, Tucumán, Argentina
| | - Yessika Soria Curi
- Servicio de Reumatología, Hospital Ángel C. Padilla, San Miguel de Tucumán, Tucumán, Argentina
| | - Victoria Collado
- Consultorio Privado de Reumatología, Ciudad de Buenos Aires, Argentina
| | - Maria F Rodriguez
- Servicio de Reumatología, Hospital General de Agudos Bernardino Rivadavia, Ciudad de Buenos Aires, Argentina
| | - Santiago Scarafia
- Hospital Municipal San Cayetano, San Fernando, Buenos Aires, Argentina
| | - Cecilia Pisoni
- Sección de Reumatología, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno (CEMIC), Ciudad de Buenos Aires, Argentina
| | - Maria de la Torre
- Sección de Reumatología, Centro de Educación Médica e Investigaciones Clínicas Norberto Quirno (CEMIC), Ciudad de Buenos Aires, Argentina
| | - Adriana Seewald
- Sector de Reumatología, Hospital Escuela de Agudos Dr. Ramón Madariaga de Posadas, Misiones, Argentina
| | - Maria E Riva
- Servicio de Hematología, Hospital General San Martín La Plata, Buenos Aires, Argentina
| | - Mercedes Garcia
- Servicio de Reumatología, Hospital General San Martin La Plata, Buenos Aires, Argentina
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Riancho-Zarrabeitia L, Martínez-Taboada V, Rúa-Figueroa I, Alonso F, Galindo-Izquierdo M, Ovalles J, Olivé-Marqués A, Fernández-Nebro A, Calvo-Alén J, Menor-Almagro R, Tomero-Muriel E, Uriarte-Isacelaya E, Botenau A, Andres M, Freire-González M, Santos Soler G, Ruiz-Lucea E, Ibáñez-Barceló M, Castellví I, Galisteo C, Quevedo Vila V, Raya E, Narváez-García J, Expósito L, Hernández-Beriaín JA, Horcada L, Aurrecoechea E, Pego-Reigosa JM. Antiphospholipid syndrome (APS) in patients with systemic lupus erythematosus (SLE) implies a more severe disease with more damage accrual and higher mortality. Lupus 2020; 29:1556-1565. [PMID: 32807021 DOI: 10.1177/0961203320950477] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
INTRODUCTION Antiphospholipid antibodies (aPL) have been associated with organ damage and certain features in systemic lupus erythematosus(SLE) patients. Our aim was to investigate the differences between SLE patients according to the presence of aPL and/or clinical antiphospholipid syndrome (APS). MATERIALS AND METHODS Patients from the RELESSER-T registry were included. RELESSER-T is a Spanish multicenter, hospital-based, retrospective, SLE registry. RESULTS We included 2398 SLE patients, 1372 of whom were positive for aPL. Overall 1026 patients were classified as SLE, 555 as SLE-APS and817 as SLE-aPL. Regarding cardiovascular risk factors, SLE-APS patients had higher rates of hypertension, dyslipidemia and diabetes than those with SLE-aPL and SLE (p < 0.001). SLE-APS patients showed higher rates of neuropsychiatric, cardiac, pulmonary, renal and ophthalmological manifestations than the other groups (p < 0.001). SLE-APS patients presented greater damage accrual with higher SLICC values (1.9 ± 2.2 in SLE-APS, 0.9 ± 1.4 in SLE-aPL and 1.1 ± 1.6 in SLE, p < 0.001) and more severe disease as defined by the Katz index (3 ± 1.8 in SLE-APS, 2.7 ± 1.7 in SLE-aPL and 2.6 ± 1.6 in SLE, p < 0.001). SLE-APS patients showed higher mortality rates (p < 0.001). CONCLUSIONS SLE-APS patients exhibited more severe clinical profiles with higher frequencies of major organ involvement, greater damage accrual and higher mortality than SLE-aPL and SLE patients.
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Affiliation(s)
| | - Victor Martínez-Taboada
- Hospital Universitario Marqués de Valdecilla, IDIVAL, Universidad de Cantabria, Santander, Spain
| | | | - Fernando Alonso
- Unidad de Investigación. Sociedad Española de Reumatología, Madrid, Spain
| | | | - Juan Ovalles
- Hospital General Universitario Gregorio Marañón, Madrid, Spain
| | | | | | | | | | | | | | | | - Mariano Andres
- Hospital General Universitario de Alicante, Valenciana, Spain
| | | | | | | | | | | | | | | | - Enrique Raya
- Hospital Universitario Clínico San Cecilio, Andalucía, Spain
| | | | | | | | - Loreto Horcada
- Complejo Hospitalario Universitario de Navarra, Pamplona, Spain
| | - Elena Aurrecoechea
- Rheumatology Department, Hospital Sierrallana, IDIVAL, Torrelavega, Spain
| | - Jose M Pego-Reigosa
- Complejo Hospitalario Universitario de Vigo IRIDIS Group, Instituto de Investigación Sanitaria Galicia Sur (IISGS), Vigo, Spain
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Validation of the adjusted global antiphospholipid syndrome score in a single centre cohort of APS patients from Turkey. J Thromb Thrombolysis 2020; 51:466-474. [PMID: 32588289 DOI: 10.1007/s11239-020-02195-4] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
The adjusted global antiphospholipid syndrome score (aGAPSS) is a recently developed thrombotic risk assessment score that considers the antiphospholipid antibody (aPL) profile and conventional cardiovascular risk factors. In this retrospective study, we aimed to evaluate the validity of the aGAPSS in predicting clinical manifestations (criteria and extra-criteria) of antiphospholipid syndrome (APS) in a single centre cohort of patients. Ninety-eight patients with APS ± systemic lupus erythematosus (SLE) were classified according to clinical manifestations as vascular thrombosis (VT), pregnancy morbidity (PM) or both (VT + PM). The aGAPSS was calculated for each patient as previously defined. Mean aGAPSS of the cohort was calculated as 10.2 ± 3.8. Significantly higher aGAPSS values were seen in VT (n = 58) and VT + PM (n = 29) groups when compared to PM (n = 11) group (10.6 ± 3.7 vs 7.4 ± 2.9, P = 0.005; 10.7 ± 4 vs 7.4 ± 2.9, P = 0.008, respectively), mainly due to lower frequencies of cardiovascular risk factors in PM. Higher aGAPPS values were also associated with recurrent thrombosis (11.6 ± 3.7 vs 9.9 ± 3.6, P = 0.04). Regarding extra-criteria manifestations, patients with livedo reticularis (n = 11) and APS nephropathy (n = 9) had significantly higher aGAPSS values (12.9 ± 3.4 vs 9.9 ± 3.7, P = 0.02; 12.4 ± 2.9 vs 10 ± 3.8, P = 0.04, respectively). The computed AUC demonstrated that aGAPSS values ≥10 had the best diagnostic accuracy for thrombosis. Our results suggest that patients with higher aGAPSS values are at higher risk for developing vascular thrombosis (either first event or recurrence) and extra-criteria manifestations, especially livedo reticularis and APS nephropathy.
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Kwon OC, Park JH, Park HC, Jung SM, Lee SW, Song JJ, Park YB, Park MC. Non-histologic factors discriminating proliferative lupus nephritis from membranous lupus nephritis. Arthritis Res Ther 2020; 22:138. [PMID: 32517774 PMCID: PMC7282168 DOI: 10.1186/s13075-020-02223-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Accepted: 05/21/2020] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND To investigate non-histologic factors that can discriminate proliferative lupus nephritis (LN) from membranous LN in patients with systemic lupus erythematosus with renal manifestations. METHODS Patients with biopsy-proven proliferative LN (class III ± V and class IV ± V) and membranous LN (class V) were included. Non-histologic factors were compared between the two groups. A logistic regression analysis was performed to identify the factors associated with proliferative LN. To assess the accuracy of these factors in discriminating between proliferative LN and membranous LN, we performed a receiver-operating characteristic analysis. RESULTS Of the total 168 patients with biopsy-proven LN, 150 patients (89.3%) had proliferative LN, and 18 patients (10.7%) had membranous LN. In the multivariable logistic regression analysis, positive anti-double-stranded DNA (anti-dsDNA) antibody (adjusted OR = 11.200, 95% CI = 2.202-56.957, p = 0.004) was associated with proliferative LN, while positive anti-U1RNP antibody (adjusted OR = 0.176, 95% CI = 0.040-0.769, p = 0.021) and higher glomerular filtration rate (GFR) (adjusted OR = 0.973, 95% CI = 0.951-0.994, p = 0.013) were inversely associated with proliferative LN. Among these covariates, the anti-dsDNA antibody (area under the curve = 0.806, 95% CI = 0.695-0.916) had the highest accuracy in discriminating between proliferative LN and membranous LN. CONCLUSION The positivity of anti-dsDNA antibody was associated with proliferative LN, while the positivity of anti-U1RNP antibody and GFR were inversely associated with proliferative LN. The anti-dsDNA antibody had a good accuracy in discriminating proliferative LN from membranous LN.
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Affiliation(s)
- Oh Chan Kwon
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Jung Hwan Park
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Hyeong-Cheon Park
- Division of Nephrology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Seung Min Jung
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Sang-Won Lee
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Jason Jungsik Song
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Yong-Beom Park
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Min-Chan Park
- Division of Rheumatology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
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Antiphospholipid Antibodies and Autoimmune Haemolytic Anaemia: A Systematic Review and Meta-Analysis. Int J Mol Sci 2020; 21:ijms21114120. [PMID: 32527000 PMCID: PMC7313475 DOI: 10.3390/ijms21114120] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 06/03/2020] [Accepted: 06/05/2020] [Indexed: 02/02/2023] Open
Abstract
The relationship between antiphospholipid antibodies (aPL) and autoimmune haemolytic anaemia (AIHA) has never been systematically addressed. The aim of this study is to assess the link between aPL and AIHA in adult systemic lupus erythematosus (SLE) and antiphospholipid syndrome (APS). This study performed an EMBASE/PubMed search from inception to June 2019 and meta-analysis using Peto’s odds ratios. The pooled prevalence (PP) of IgG/IgM anticardiolipin (aCL) and lupus anticoagulant (LA) was greater in AIHA +ve than AIHA −ve patients (34.7% vs. 27.6%, p = 0.03; 33.3% vs. 21.8%, p < 0.0001; 20.9% vs. 8.3%, p = 0.01). The PP of AIHA was greater in: (1) IgG and IgM aCL +ve than −ve patients (21.8% vs. 11.1%, p = 0.001 and 18.7% vs. 6.3%, p < 0.0001), (2) in SLE related APS than in primary APS patients (22.8% vs. 3.9% p < 0.0001), (3) in APS +ve than APS −ve SLE patients (23.2% vs. 8.4%, p = 0.01), and (4) in thrombotic APS than non-thrombotic APS/SLE patients (26.8% vs. 10%, p = 0.03). The PP of IgG/IgM aCL and LA was greater in DAT +ve than DAT −ve patients (42.4% vs. 12.8%, p < 0.0001; 26.2% vs. 12.8%, p = 0.03 and 29.2% vs. 15.7%, p = 0.004 respectively). It was found that AIHA prevalence is maximal in SLE with aPL/APS, low-moderate in SLE without aPL and minimal in PAPS. Moreover, AIHA is rightly included among the classification criteria for SLE but not for APS/aPL. The significance of an isolated DAT positivity remains unclear in this setting
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Abstract
PURPOSE OF THE REVIEW Rheumatic diseases usually have very diverse and complex pathophysiology resulting in different clinical phenotypes. Some certain phenotypes cluster together with a common presentation, course, and outcome. Our primary aim is to review the known disease clusters in certain rheumatological conditions. RECENT FINDINGS Cluster analysis has been reported in several rheumatic diseases, Behcet disease being the most common. Five individual clusters together with some clinical associations have been reported in Behcet patients. Certain antibody-phenotype associations and damage clusters have been reported in systemic lupus erythematosus (SLE) patients as well. Although there is no proper cluster analysis, two distinct phenotypes are evident in deficiency of ADA2 (DADA2): those with a polyarteritis nodosa-like vasculopathy and hematological involvement with pure red cell aplasia or bone marrow failure. The variants are claimed to be different regions of this gene for these 2 phenotypes. Lastly, there is a recent paper grouping ANCA-associated vasculitis according to disease phenotype and antibody associations. There are distinct clusters in certain rheumatic diseases which might help us to predict comorbidities, disease course, and treatment response.
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Affiliation(s)
- Erdal Sag
- Division of Pediatric Rheumatology, Department of Pediatrics, Hacettepe University Faculty of Medicine, 06100, Ankara, Turkey
| | - Selcan Demir
- Division of Pediatric Rheumatology, Department of Pediatrics, Hacettepe University Faculty of Medicine, 06100, Ankara, Turkey
| | - Seza Ozen
- Division of Pediatric Rheumatology, Department of Pediatrics, Hacettepe University Faculty of Medicine, 06100, Ankara, Turkey.
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Svenungsson E, Antovic A. The antiphospholipid syndrome - often overlooked cause of vascular occlusions? J Intern Med 2020; 287:349-372. [PMID: 31957081 DOI: 10.1111/joim.13022] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Accepted: 01/09/2020] [Indexed: 01/25/2023]
Abstract
The antiphospholipid syndrome (APS) was fully recognized as a clinical entity in the early 1980s. Still, more than 30 years later, the epidemiology of APS is not well described, and furthermore, APS remains a challenge in terms of both diagnostic issues and clinical praxis involving a wide range of specialties. To date, there are no diagnostic criteria for APS. The present classification criteria rely on a combination of clinical manifestations and persistently positive tests for antiphospholipid antibodies (aPL). Clinical symptoms comprise vascular thrombosis, which can affect any vascular bed, including venous, microvascular and arterial vessels, and a set of pregnancy morbidities including early and late miscarriages, foetal death and preeclampsia. APS is more frequent among patients with other autoimmune diseases, and it is especially common in systemic lupus erythematosus (SLE). Importantly, APS symptoms can present in almost any medical specialty, but general knowledge and most previous clinical studies have essentially been confined to haematology, rheumatology and obstetrics/gynaecology. However, recent data demonstrate a relatively high prevalence of aPL also in patients from the general population who suffer from vascular occlusions or pregnancy complications. It is important that these patients are recognized by the general health care since APS is a treatable condition. This review aims to summarize the present knowledge on the history, pathogenesis, clinical manifestations and treatment of APS in order to urge a wide range of clinicians to consider comprehensive assessment of all patients where the diagnosis APS may be conceivable.
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Affiliation(s)
- E Svenungsson
- From the, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
| | - A Antovic
- From the, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
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Guthridge JM, Lu R, Tran LTH, Arriens C, Aberle T, Kamp S, Munroe ME, Dominguez N, Gross T, DeJager W, Macwana SR, Bourn RL, Apel S, Thanou A, Chen H, Chakravarty EF, Merrill JT, James JA. Adults with systemic lupus exhibit distinct molecular phenotypes in a cross-sectional study. EClinicalMedicine 2020; 20:100291. [PMID: 32154507 PMCID: PMC7058913 DOI: 10.1016/j.eclinm.2020.100291] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 01/28/2020] [Accepted: 02/11/2020] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The clinical and pathologic diversity of systemic lupus erythematosus (SLE) hinders diagnosis, management, and treatment development. This study addresses heterogeneity in SLE through comprehensive molecular phenotyping and machine learning clustering. METHODS Adult SLE patients (n = 198) provided plasma, serum, and RNA. Disease activity was scored by modified SELENA-SLEDAI. Twenty-nine co-expression module scores were calculated from microarray gene-expression data. Plasma soluble mediators (n = 23) and autoantibodies (n = 13) were assessed by multiplex bead-based assays and ELISAs. Patient clusters were identified by machine learning combining K-means clustering and random forest analysis of co-expression module scores and soluble mediators. FINDINGS SLEDAI scores correlated with interferon, plasma cell, and select cell cycle modules, and with circulating IFN-α, IP10, and IL-1α levels. Co-expression modules and soluble mediators differentiated seven clusters of SLE patients with unique molecular phenotypes. Inflammation and interferon modules were elevated in Clusters 1 (moderately) and 4 (strongly), with decreased T cell modules in Cluster 4. Monocyte, neutrophil, plasmablast, B cell, and T cell modules distinguished the remaining clusters. Active clinical features were similar across clusters. Clinical SLEDAI trended highest in Clusters 3 and 4, though Cluster 3 lacked strong interferon and inflammation signatures. Renal activity was more frequent in Cluster 4, and rare in Clusters 2, 5, and 7. Serology findings were lowest in Clusters 2 and 5. Musculoskeletal and mucocutaneous activity were common in all clusters. INTERPRETATION Molecular profiles distinguish SLE subsets that are not apparent from clinical information. Prospective longitudinal studies of these profiles may help improve prognostic evaluation, clinical trial design, and precision medicine approaches. FUNDING US National Institutes of Health.
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Affiliation(s)
- Joel M. Guthridge
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
- Departments of Medicine and Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Rufei Lu
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
- Departments of Medicine and Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
| | - Ly Thi-Hai Tran
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Cristina Arriens
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Teresa Aberle
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Stan Kamp
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Melissa E. Munroe
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Nicolas Dominguez
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Timothy Gross
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Wade DeJager
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Susan R. Macwana
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Rebecka L. Bourn
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Stephen Apel
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Aikaterini Thanou
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Hua Chen
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Eliza F. Chakravarty
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Joan T. Merrill
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
| | - Judith A. James
- Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA
- Departments of Medicine and Pathology, University of Oklahoma Health Sciences Center, Oklahoma City, OK 73104, USA
- Corresponding author at: Arthritis and Clinical Immunology, Oklahoma Medical Research Foundation, 825 NE 13th Street, Oklahoma City, OK 73104, USA.
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Mizus M, Li J, Goldman D, Petri MA. Autoantibody clustering of lupus-associated pulmonary hypertension. Lupus Sci Med 2020; 6:e000356. [PMID: 31908817 PMCID: PMC6928462 DOI: 10.1136/lupus-2019-000356] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 10/31/2019] [Accepted: 11/15/2019] [Indexed: 11/21/2022]
Abstract
Objective To define the SLE phenotype associated with pulmonary hypertension using multiple autoantibodies. Methods 207 (8%) patients with SLE with pulmonary hypertension, defined as a right ventricular systolic pressure greater than 40 mm Hg on transthoracic echocardiogram or as pulmonary artery dilatation on CT of the chest, were identified from the Hopkins Lupus Cohort (94.2% female; 56.5% African–American, 39% Caucasian; mean age 45.6 years). 53 patients were excluded from the clustering analysis due to incomplete autoantibody profiles. Agglomerative hierarchical clustering algorithm with Ward’s method was used to cluster the patients with pulmonary hypertension, based on their autoantibodies. Autoantibodies used in the clustering analysis included lupus anticoagulant, anticardiolipin, anti-beta 2 glycoprotein I, antidouble-stranded DNA, anti-Sm (anti-Smith), antiribonucleoprotein, false positive-rapid plasma reagin, anti-Ro, anti-La and hypocomplementaemia (C3 ever low or C4 ever low). The Dunn index was used to internally validate the clusters. Bootstrap resampling derived the mean Jaccard coefficient for each cluster. All analyses were performed in R V.3.6.1 using the packages cluster, fpc and gplots. Results A significantly higher prevalence of pulmonary hypertension in African–American patients with SLE, compared with Caucasian patients with SLE (11.5% vs 5.9%, p<0.0001), was found. Based on equivalent Dunn indices, the 154 patients with SLE-associated pulmonary hypertension with complete autoantibody data were divided into five clusters, three of which had mean Jaccard coefficients greater than 0.6. Hypocomplementaemia, renal disorder and age at diagnosis significantly differed across clusters. One cluster was defined by antiphospholipid antibodies. One cluster was defined by anti-Ro and anti-La. One cluster had low frequencies of all antibodies. Conclusion SLE-associated pulmonary hypertension disproportionately affects African–American patients. Pulmonary hypertension in SLE is defined by five autoantibody clusters. Antiphospholipid antibodies, anti-Ro and anti-La positivity, serological activity, and age at pulmonary hypertension diagnosis significantly differed across clusters, possibly indicating different pathophysiological mechanisms.
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Affiliation(s)
- Marisa Mizus
- Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Jessica Li
- Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Daniel Goldman
- Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Michelle A Petri
- Rheumatology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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Baruah S, Talukdar D, Gogoi A, Doley D, Marak R, Kakati S, Pradhan V, Nadkarni A. The clinical and immunological profiles of systemic lupus erythematosus patients from Assam, North-East India. INDIAN JOURNAL OF RHEUMATOLOGY 2020. [DOI: 10.4103/injr.injr_37_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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Ahn GY, Lee J, Won S, Ha E, Kim H, Nam B, Kim JS, Kang J, Kim JH, Song GG, Kim K, Bae SC. Identifying damage clusters in patients with systemic lupus erythematosus. Int J Rheum Dis 2019; 23:84-91. [PMID: 31762221 DOI: 10.1111/1756-185x.13745] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2019] [Revised: 09/19/2019] [Accepted: 10/17/2019] [Indexed: 12/11/2022]
Abstract
AIM Systemic lupus erythematosus (SLE) causes irreversible damage to organ systems. Recently, evidence has been obtained for subphenotypes of SLE. This study aimed to identify damage clusters and compare the associated clinical manifestations, SLE disease activity, mortality, and genetic risk scores (GRS). METHODS The study was conducted on the Hanyang BAE lupus cohort. Patients with disease duration <5 years were excluded to minimize confounding effects of disease duration. They were grouped into 3 clusters based on the Systemic Lupus International Collaborating Clinics Damage Index using k-means cluster analysis. RESULTS Among the 1130 analyzed patients, musculoskeletal damage was most prevalent (20.2%), followed by ocular (11.4%), renal (10.5%), and neuropsychiatric damage (10.2%). Three significantly different damage clusters were identified. Patients in cluster 1 (n = 824) showed the least damage. Cluster 2 (n = 195) was characterized by frequent renal (55.4%) and ocular (58.0%) damage, and cluster 3 (n = 111) was dominated by neuropsychiatric (100%) and musculoskeletal damage (35.1%). Cluster 2 had the highest adjusted mean AMS (adjusted mean SLE Disease Activity Index score; mean ± SD: 5.4 ± 2.9), while cluster 3 had the highest mortality (14.4%). Weighted GRS did not differ significantly between the clusters. CONCLUSION Patients in prevalent renal and ocular damage cluster had the highest AMS scores, while the cluster with frequent neuropsychiatric damage had the highest mortality.
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Affiliation(s)
- Ga Young Ahn
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.,Division of Rheumatology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea
| | - Jiyoung Lee
- Clinical Research Center for Rheumatoid Arthritis (CRCRA), Seoul, Korea
| | - Soyoung Won
- Clinical Research Center for Rheumatoid Arthritis (CRCRA), Seoul, Korea
| | - Eunji Ha
- Department of Biology, Kyung Hee University, Seoul, Korea
| | - Hyoungyoung Kim
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
| | - Bora Nam
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
| | - Ji Soong Kim
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
| | - Juyeon Kang
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea
| | - Jae-Hoon Kim
- Division of Rheumatology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea
| | - Gwan Gyu Song
- Division of Rheumatology, Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea
| | - Kwangwoo Kim
- Department of Biology, Kyung Hee University, Seoul, Korea
| | - Sang-Cheol Bae
- Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.,Clinical Research Center for Rheumatoid Arthritis (CRCRA), Seoul, Korea
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Fernández Matilla M, Grau García E, Fernández-Llanio Comella N, Chalmeta Verdejo I, Ivorra Cortés J, Castellano Cuesta JA, Román Ivorra JA. Increased interferon-1α, interleukin-10 and BLyS concentrations as clinical activity biomarkers in systemic lupus erythematosus. Med Clin (Barc) 2019; 153:225-231. [PMID: 30795903 DOI: 10.1016/j.medcli.2018.12.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2018] [Revised: 12/03/2018] [Accepted: 12/13/2018] [Indexed: 12/17/2022]
Abstract
BACKGROUND AND OBJECTIVE to analyse the association between interferon-1α (INF1α), interleukin-10 (IL-10) and BLyS concentrations and clinical activity in systemic lupus erythematosus (SLE). PATIENTS AND METHODS A cross-sectional, observational study of 142 SLE patients and 34 healthy controls was performed, through a complete blood and urine test and review of their medical history. Serum concentration of INF1α, IL-10 and BLyS was determined by colorimetric methods. A biostatistical analysis was performed with R (3.3.2.). RESULTS 69% of our SLE patients showed at least one cytokine increased. INF1α, IL-10 and BLyS are higher in SLE patients than in healthy controls (P<.001, P=.005 and P=.043, respectively), being INF1α the most frequent. Patients were categorised according to low or high concentrations of the three cytokines. We found a significant association between increased IL-10/INF1α concentrations and a higher clinical activity measured by SELENA-SLEDAI (P<.0001) and, to a lesser extent, an association with increased INF1α/IL-10/BLyS concentrations. Elevated levels of IL-10/INF1α and INF1α/IL-10/BLyS related to increased C3-C4 consumption (P<.001 and P=.001 respectively) and anti-dsDNA titres (P=.001 and P=.002 respectively). Elevated INF1α/BLyS related to higher anti-dsDNA titres (P=.004) and ENA positivity (P<.001). Increased levels of INF1α/IL-10/BLyS related to positivity of ANAs (P<.001) and APL (P=.004). CONCLUSIONS INF1α, IL-10 and BLyS are higher in SLE patients than in healthy controls. Increased IL-10 levels, regardless of whether or not there were also increased levels of BLyS and/or INF1α, was the cytokine that best fit with clinical activity in SLE measured with classic methods.
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Affiliation(s)
- Meritxell Fernández Matilla
- Escuela de Doctorado, Universidad Católica de Valencia San Vicente Mártir, Valencia, España; Sección de Reumatología, Hospital Arnau de Vilanova, Valencia, España.
| | - Elena Grau García
- Servicio de Reumatología, Hospital Universitario y Politécnico la Fe, Valencia, España
| | | | | | - José Ivorra Cortés
- Servicio de Reumatología, Hospital Universitario y Politécnico la Fe, Valencia, España
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Artım-Esen B, Çene E, Şahinkaya Y, Erdugan M, Oğuz E, Gül A, Öcal L, İnanç M. Autoimmune haemolytic anaemia and thrombocytopaenia in a single-centre cohort of patients with systemic lupus erythematosus from Turkey: clinical associations and effect on disease damage and survival. Lupus 2019; 28:1480-1487. [DOI: 10.1177/0961203319877245] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Introduction Thrombocytopaenia and autoimmune haemolytic anaemia (AIHA) have considerable impact on prognosis in systemic lupus erythematosus (SLE). We investigated the frequencies of these haemocytopaenias, along with their associations and effect on outcome in a single-centre cohort of patients with SLE. Methods Demographic characteristics, clinical features, autoantibody profiles, damage and mortality data were compared between patients with and without each haematological abnormality. Variables displaying significant differences between the groups were entered into logistic regression. Results Ninety-three patients had AIHA and 215 had thrombocytopaenia. Both were associated with neuropsychiatric (NP) involvement, with each other, leucopaenia, antiphospholipid syndrome (APS) and antiphospholipid antibodies. More patients in both groups had organ damage, and their damage scores were higher. Association to NP damage was discernible. In addition, cardiovascular and renal damage and diabetes were more pronounced in patients with thrombocytopaenia. At logistic regression analysis, younger age, anticardiolipin antibody IgM positivity, leucopaenia and thrombocytopaenia were associated with AIHA whilst lupus anticoagulant activity, AIHA, leucopaenia, APS and NP involvement were associated with thrombocytopaenia. Among damage items, peripheral vascular damage, diabetes, NP damage, renal and ocular damage displayed significant associations with thrombocytopaenia, whereas none of the items did with AIHA. Patients with AIHA had significantly reduced survival rates at 10 and 20 years. Conclusions We observed that AIHA and thrombocytopaenia were associated with severe lupus, affecting major organs and causing end organ damage. Thus, they may be considered as prognostic markers. Furthermore, AIHA and especially thrombocytopaenia may also be a marker for a subgroup of lupus patients who have or may develop APS.
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Affiliation(s)
- B Artım-Esen
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - E Çene
- Department of Statistics, Faculty of Arts and Sciences, Yıldız Technical University, Istanbul, Turkey
| | - Y Şahinkaya
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - M Erdugan
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - E Oğuz
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - A Gül
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - L Öcal
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
| | - M İnanç
- Division of Rheumatology, Department of Internal Medicine, Istanbul Faculty of Medicine, Istanbul University, Istanbul, Turkey
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Ruacho G, Kvarnström M, Zickert A, Oke V, Rönnelid J, Eketjäll S, Elvin K, Gunnarsson I, Svenungsson E. Sjögren Syndrome in Systemic Lupus Erythematosus: A Subset Characterized by a Systemic Inflammatory State. J Rheumatol 2019; 47:865-875. [PMID: 31523050 DOI: 10.3899/jrheum.190250] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/23/2019] [Indexed: 12/17/2022]
Abstract
OBJECTIVE An often-neglected subset of patients with systemic lupus erythematosus (SLE) is those with secondary Sjögren syndrome (SLE-sSS). Further, primary SS overlaps and can be difficult to delineate from SLE. To shed light on the SLE-sSS subset, we investigated a large and well-characterized SLE cohort, comparing patients with SLE-sSS and SLE patients without SS (SLE-nonsSS) and controls. METHODS We included 504 consecutive patients with SLE, fulfilling the 1982 revised American College of Rheumatology criteria, and 319 controls from the general population, matched for age and sex to the first 319 patients. SLE-sSS was defined according to the American-European Consensus Criteria (AECC). A thorough clinical examination, including subjective and objective quantifications of sicca symptoms, was performed in all participants. Autoantibodies and 20 selected cytokines were measured by luminex and multiplex analysis, respectively. RESULTS SLE-sSS, as defined by AECC, occurred in 23% of the patients with SLE. In comparison to SLE-nonsSS, the SLE-sSS group was older and more frequently female. Leukopenia and peripheral neuropathy were more frequent and nephritis less frequent. Circulating levels of 6/20 investigated proinflammatory cytokines [tumor necrosis factor-α, interleukin (IL) 6, monocyte chemoattractant protein 4, macrophage inflammatory protein 1β, IL-12/IL-23p40, and interferon γ-induced protein 10], total IgG, anti-SSA/Ro52, anti-SSA/Ro60, anti-SSB/La antibodies, and rheumatoid factor (IgM and IgA) were higher in the SLE-sSS group (p < 0.05 for all comparisons). CONCLUSION The frequency of SLE-sSS increased with age and affected roughly one-quarter of all patients with SLE. Despite less internal organ involvement, a systemic inflammatory state with high levels of proinflammatory cytokines is present in the SLE-sSS subgroup. This is a novel observation that may affect future understanding and treatment of the SLE-sSS subset.
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Affiliation(s)
- Guillermo Ruacho
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Marika Kvarnström
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Agneta Zickert
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Vilija Oke
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Johan Rönnelid
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Susanna Eketjäll
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Kerstin Elvin
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Iva Gunnarsson
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden.,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital
| | - Elisabet Svenungsson
- From the Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, Stockholm; Karolinska University Hospital, Stockholm; Karolinska Institutet/AstraZeneca Integrated Cardio Metabolic Centre (KI-AZ ICMC), Stockholm; Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet, Stockholm; Center for Clinical Research, Uppsala University, Sörmland; Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala; Cardiovascular, Renal and Metabolism, Innovative Medicines and Early Development (IMED) Biotech Unit, AstraZeneca, Huddinge, Sweden. .,G. Ruacho, DMD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Center for Clinical Research, Uppsala University; M. Kvarnström, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; A. Zickert, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; V. Oke, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; J. Rönnelid, MD, PhD, Department of Immunology, Genetics and Pathology, Uppsala University; S. Eketjäll, PhD, Cardiovascular, Renal and Metabolism, IMED Biotech Unit, AstraZeneca, and KI-AZ ICMC; K. Elvin, MD, PhD, Department of Medicine Solna, Division of Immunology and Allergy, Karolinska Institutet and Karolinska University Hospital; I. Gunnarsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital; E. Svenungsson, MD, PhD, Department of Medicine Solna, Division of Rheumatology, Karolinska Institutet, and Karolinska University Hospital.
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Fritzler MJ, Mahler M. Redefining systemic lupus erythematosus - SMAARTT proteomics. Nat Rev Rheumatol 2019; 14:451-452. [PMID: 29907860 DOI: 10.1038/s41584-018-0035-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Marvin J Fritzler
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
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Zhu H, Wu C, Jiang N, Wang Y, Zhao J, Xu D, Wang Q, Li M, Zeng X. Identification of 6 dermatomyositis subgroups using principal component analysis-based cluster analysis. Int J Rheum Dis 2019; 22:1383-1392. [PMID: 31179648 PMCID: PMC6771972 DOI: 10.1111/1756-185x.13609] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 04/17/2019] [Accepted: 04/30/2019] [Indexed: 01/19/2023]
Abstract
OBJECTIVE Dermatomyositis (DM) is a heterogeneous disease with a wide range of clinical manifestations. The aim of the present study was to identify the clinical subtypes of DM by applying cluster analysis. METHODS We retrospectively reviewed the medical records of 720 DM patients and selected 21 variables for analysis, including clinical characteristics, laboratory findings, and comorbidities. Principal component analysis (PCA) was first conducted to transform the 21 variables into independent principal components. Patient classification was then performed using cluster analysis based on the PCA-transformed data. The relationships among the clinical variables were also assessed. RESULTS We transformed the 21 clinical variables into nine independent principal components by PCA and identified six distinct subgroups. Cluster A was composed of two sub-clusters of patients with classical DM and classical DM with minimal organ involvement. Cluster B patients were older and had malignancies. Cluster C was characterized by interstitial lung disease (ILD), skin ulcers, and minimal muscle involvement. Cluster D included patients with prominent lung, muscle, and skin involvement. Cluster E contained DM patients with other connective tissue diseases. Cluster F included all patients with myocarditis and prominent myositis and ILD. We found significant differences in treatment across the six clusters, with clusters E, C and D being more likely to receive aggressive immunosuppressive therapy. CONCLUSION We applied cluster analysis to a large group of DM patients and identified 6 clinical subgroups, underscoring the need for better phenotypic characterization to help develop individualized treatments and improve prognosis.
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Affiliation(s)
- Huiyi Zhu
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Chanyuan Wu
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Nan Jiang
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Yanhong Wang
- Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, China
| | - Jiuliang Zhao
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Dong Xu
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Qian Wang
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Mengtao Li
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Xiaofeng Zeng
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences and Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
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Hossny E, El-Ghoneimy D, Soliman DA, Ashour A. Diagnostic value of serum high-mobility group box-1 in pediatric systemic lupus erythematosus. Int J Rheum Dis 2019; 22:1402-1409. [PMID: 30938057 DOI: 10.1111/1756-185x.13556] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 12/22/2018] [Accepted: 02/25/2019] [Indexed: 12/20/2022]
Abstract
BACKGROUND High-mobility group box-1 (HMGB1) acts as a damage-associated molecular pattern or as an alarmin and it stimulates inflammatory and immunological activities. AIM We sought to investigate serum HMGB1 protein expression in patients with pediatric systemic lupus erythematosus (pSLE) in relation to the disease characteristics and activity. PATIENTS AND METHODS This is a controlled cross-sectional study which comprised 50 children and adolescents with Systemic lupus erythematosus (SLE) and 50 age- and sex-matched healthy subjects who served as a control group. Study measurements included clinical assessment, laboratory workup for SLE (complete blood count, erythrocyte sedimentation rate, serum creatinine, creatinine clearance and 24-hour urinary protein, C3 and anti-double-stranded DNA, lupus anticoagulant and anticardiolipin antibodies) and measurement of serum HMGB1 by enzyme-linked immunosorbent assay in patients and controls. RESULTS Serum HMGB1 expression was significantly higher in the pSLE patients than the control group (P < 0.001). Patients with lupus nephritis (LN) had significantly higher serum HMGB1 as compared to those with normal kidneys (P < 0.04). Serum HMGB1 in LN patients correlated positively to the SLE Disease Activity Index (P < 0.0001), and 24 hours urinary proteins and negatively to creatinine clearance (P < 0.001). At a cut-off point of ≥40 µg/L, serum HMGB1 showed good diagnostic value for pSLE with sensitivity and specificity of 98% and 95%, respectively. CONCLUSION Serum HMGB1 seems to be a reliable biomarker for diagnosis of pSLE and monitoring disease status, especially in LN. HMBG1 might prove to be a potential therapeutic target in LN.
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Affiliation(s)
- Elham Hossny
- Pediatric Allergy and Immunology Unit, Children's Hospital, Ain Shams University, Cairo, Egypt
| | - Dalia El-Ghoneimy
- Pediatric Allergy and Immunology Unit, Children's Hospital, Ain Shams University, Cairo, Egypt
| | - Dina A Soliman
- Department of Clinical Pathology, Ain Shams University, Cairo, Egypt
| | - Ayman Ashour
- Ministry of Public Health Hospitals, Cairo, Egypt
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Fanouriakis A, Kostopoulou M, Alunno A, Aringer M, Bajema I, Boletis JN, Cervera R, Doria A, Gordon C, Govoni M, Houssiau F, Jayne D, Kouloumas M, Kuhn A, Larsen JL, Lerstrøm K, Moroni G, Mosca M, Schneider M, Smolen JS, Svenungsson E, Tesar V, Tincani A, Troldborg A, van Vollenhoven R, Wenzel J, Bertsias G, Boumpas DT. 2019 update of the EULAR recommendations for the management of systemic lupus erythematosus. Ann Rheum Dis 2019; 78:736-745. [DOI: 10.1136/annrheumdis-2019-215089] [Citation(s) in RCA: 780] [Impact Index Per Article: 156.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2019] [Revised: 03/07/2019] [Accepted: 03/11/2019] [Indexed: 12/11/2022]
Abstract
Our objective was to update the EULAR recommendations for the management of systemic lupus erythematosus (SLE), based on emerging new evidence. We performed a systematic literature review (01/2007–12/2017), followed by modified Delphi method, to form questions, elicit expert opinions and reach consensus. Treatment in SLE aims at remission or low disease activity and prevention of flares. Hydroxychloroquine is recommended in all patients with lupus, at a dose not exceeding 5 mg/kg real body weight. During chronic maintenance treatment, glucocorticoids (GC) should be minimised to less than 7.5 mg/day (prednisone equivalent) and, when possible, withdrawn. Appropriate initiation of immunomodulatory agents (methotrexate, azathioprine, mycophenolate) can expedite the tapering/discontinuation of GC. In persistently active or flaring extrarenal disease, add-on belimumab should be considered; rituximab (RTX) may be considered in organ-threatening, refractory disease. Updated specific recommendations are also provided for cutaneous, neuropsychiatric, haematological and renal disease. Patients with SLE should be assessed for their antiphospholipid antibody status, infectious and cardiovascular diseases risk profile and preventative strategies be tailored accordingly. The updated recommendations provide physicians and patients with updated consensus guidance on the management of SLE, combining evidence-base and expert-opinion.
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Idborg H, Zandian A, Sandberg AS, Nilsson B, Elvin K, Truedsson L, Sohrabian A, Rönnelid J, Mo J, Grosso G, Kvarnström M, Gunnarsson I, Lehtiö J, Nilsson P, Svenungsson E, Jakobsson PJ. Two subgroups in systemic lupus erythematosus with features of antiphospholipid or Sjögren's syndrome differ in molecular signatures and treatment perspectives. Arthritis Res Ther 2019; 21:62. [PMID: 30777133 PMCID: PMC6378708 DOI: 10.1186/s13075-019-1836-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 01/24/2019] [Indexed: 01/31/2023] Open
Abstract
Background Previous studies and own clinical observations of patients with systemic lupus erythematosus (SLE) suggest that SLE harbors distinct immunophenotypes. This heterogeneity might result in differences in response to treatment in different subgroups and obstruct clinical trials. Our aim was to understand how SLE subgroups may differ regarding underlying pathophysiology and characteristic biomarkers. Methods In a cross-sectional study, including 378 well-characterized SLE patients and 316 individually matched population controls, we defined subgroups based on the patients’ autoantibody profile at inclusion. We selected a core of an antiphospholipid syndrome-like SLE (aPL+ group; positive in the lupus anticoagulant (LA) test and negative for all three of SSA (Ro52 and Ro60) and SSB antibodies) and a Sjögren’s syndrome-like SLE (SSA/SSB+ group; positive for all three of SSA (Ro52 and Ro60) and SSB antibodies but negative in the LA test). We applied affinity-based proteomics, targeting 281 proteins, together with well-established clinical biomarkers and complementary immunoassays to explore the difference between the two predefined SLE subgroups. Results The aPL+ group comprised 66 and the SSA/SSB+ group 63 patients. The protein with the highest prediction power (receiver operating characteristic (ROC) area under the curve = 0.89) for separating the aPL+ and SSA/SSB+ SLE subgroups was integrin beta-1 (ITGB1), with higher levels present in the SSA/SSB+ subgroup. Proteins with the lowest p values comparing the two SLE subgroups were ITGB1, SLC13A3, and CERS5. These three proteins, rheumatoid factor, and immunoglobulin G (IgG) were all increased in the SSA/SSB+ subgroup. This subgroup was also characterized by a possible activation of the interferon system as measured by high KRT7, TYK2, and ETV7 in plasma. In the aPL+ subgroup, complement activation was more pronounced together with several biomarkers associated with systemic inflammation (fibrinogen, α-1 antitrypsin, neutrophils, and triglycerides). Conclusions Our observations indicate underlying pathogenic differences between the SSA/SSB+ and the aPL+ SLE subgroups, suggesting that the SSA/SSB+ subgroup may benefit from IFN-blocking therapies while the aPL+ subgroup is more likely to have an effect from drugs targeting the complement system. Stratifying SLE patients based on an autoantibody profile could be a way forward to understand underlying pathophysiology and to improve selection of patients for clinical trials of targeted treatments. Electronic supplementary material The online version of this article (10.1186/s13075-019-1836-8) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Helena Idborg
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, 171 76, Stockholm, Sweden
| | - Arash Zandian
- Division of Affinity Proteomics, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Ann-Sofi Sandberg
- Clinical Proteomics Mass Spectrometry, Department of Oncology-Pathology, Science for Life Laboratory and Karolinska Institutet, Stockholm, Sweden
| | - Bo Nilsson
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Kerstin Elvin
- Unit of Clinical Immunology, Department of Clinical Immunology and Transfusion Medicine, Karolinska University Hospital, Karolinska Institutet, Solna, Stockholm, Sweden
| | - Lennart Truedsson
- Section of Microbiology, Immunology and Glycobiology, Department of Laboratory Medicine, Lund University, Lund, Sweden
| | - Azita Sohrabian
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - Johan Rönnelid
- Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden
| | - John Mo
- Patient Safety Respiratory, Inflammation, Autoimmunity, Infection and Vaccines, AstraZeneca R&D, Gothenburg, Sweden
| | - Giorgia Grosso
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, 171 76, Stockholm, Sweden
| | - Marika Kvarnström
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, 171 76, Stockholm, Sweden
| | - Iva Gunnarsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, 171 76, Stockholm, Sweden
| | - Janne Lehtiö
- Clinical Proteomics Mass Spectrometry, Department of Oncology-Pathology, Science for Life Laboratory and Karolinska Institutet, Stockholm, Sweden
| | - Peter Nilsson
- Division of Affinity Proteomics, SciLifeLab, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Elisabet Svenungsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, 171 76, Stockholm, Sweden.
| | - Per-Johan Jakobsson
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet, Karolinska University Hospital, 171 76, Stockholm, Sweden.
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42
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Torell F, Eketjäll S, Idborg H, Jakobsson PJ, Gunnarsson I, Svenungsson E, Trygg J. Cytokine Profiles in Autoantibody Defined Subgroups of Systemic Lupus Erythematosus. J Proteome Res 2019; 18:1208-1217. [DOI: 10.1021/acs.jproteome.8b00811] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Affiliation(s)
- Frida Torell
- Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87 Umeå, Sweden
| | - Susanna Eketjäll
- Cardiovascular and Metabolic Diseases, Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Integrated Cardio Metabolic Centre (ICMC), Karolinska Institutet, 141 57 Huddinge, Sweden
- Science for Life Laboratory, Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Helena Idborg
- Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Per-Johan Jakobsson
- Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Iva Gunnarsson
- Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Elisabet Svenungsson
- Rheumatology Unit, Department of Medicine, Karolinska Institutet and Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Johan Trygg
- Computational Life Science Cluster (CLiC), Department of Chemistry, Umeå University, 901 87 Umeå, Sweden
- Corporate Research, Sartorius AG, 37079 Göttingen, Germany
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43
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Zhang N, Li M, Qian J, Wang Q, Zhao J, Yang Z, Tian Z, Zhang X, Zuo X, Zhang M, Zhu P, Ye S, Zhang W, Zheng Y, Qi W, Li Y, Zhang Z, Ding F, Gu J, Liu Y, Wei W, Zeng X. Pulmonary arterial hypertension in systemic lupus erythematosus based on a CSTAR-PAH study: Baseline characteristics and risk factors. Int J Rheum Dis 2019; 22:921-928. [PMID: 30746850 DOI: 10.1111/1756-185x.13478] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2018] [Revised: 12/09/2018] [Accepted: 12/17/2018] [Indexed: 02/05/2023]
Abstract
AIM Pulmonary arterial hypertension (PAH) is a complex and devastating complication of systemic lupus erythematosus (SLE). We sought to describe the baseline characteristics of right heart catheterization (RHC)-confirmed SLE-associated PAH and identify risk factors for PAH in SLE patients. METHODS A multicenter, cross-sectional study was conducted using the Chinese SLE Treatment and Research group (CSTAR) registry. Baseline data for patients with SLE-associated PAH and SLE patients without PAH were collected and compared. Risk factors for PAH among patients with SLE were identified. RESULTS A total of 292 patients with SLE-associated PAH were enrolled. RHC was used to reveal hemodynamic features, including mean pulmonary arterial pressure (46.2 ± 12.0 mm Hg), pulmonary arterial wedge pressure (7.84 ± 3.92 mm Hg), pulmonary vascular resistance (10.86 ± 5.57 Wood units), and cardiac index (2.77 ± 0.91 L/min × m2 ). A multivariate logistic regression analysis showed that serositis (odds ratio [OR] = 5.524, 95% CI 3.605-8.465, P < 0.001), anti-ribonucleoprotein (RNP) antibody positivity (OR = 13.332, 95% CI 9.500-18.710, P < 0.001), and diffusion capacity of carbon monoxide in the lung (DLCO)/%Pred <70% (OR = 10.018, 95% CI 6.619-15.162, P < 0.001) were independent predictors of PAH. We recommend using transthoracic echocardiography (TTE) to perform early screening of SLE patients who have serositis, anti-RNP antibody positivity, or DLCO/%Pred <70%. RHC is suggested for patients suspected of having PAH. Once a diagnosis of SLE-PAH is confirmed, evaluation and treatment should immediately begin. CONCLUSION Overall, we recommend performing early screening using TTE in SLE patients with serositis, anti-RNP antibodies, or a DLCO/%Pred <70%, even for patients in a relatively stable condition according to SLE disease activity index.
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Affiliation(s)
- Na Zhang
- Department of Rheumatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Mengtao Li
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Junyan Qian
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Qian Wang
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Jiuliang Zhao
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
| | - Zhenwen Yang
- Department of Cardiology, Tianjin Medical University General Hospital, Tianjin, China
| | - Zhuang Tian
- Department of Cardiology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Xiao Zhang
- Department of Rheumatology, Guangdong General Hospital, Guangzhou, China
| | - Xiaoxia Zuo
- Department of Rheumatology, Xiangya Hospital, Central South University, Changsha, China
| | - Miaojia Zhang
- Department of Rheumatology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ping Zhu
- Department of Clinical Immunology, PLA Specialized Research Institute of Rheumatology & Immunology, Xijing Hospital, The Fourth Military Medical University, Xi'an, China
| | - Shuang Ye
- Department of Rheumatology, Ren Ji Hospital South Campus, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Wei Zhang
- Department of Rheumatology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yi Zheng
- Department of Rheumatology, Beijing Chao-Yang Hospital, Capital Medical University, Beijing, China
| | - Wufang Qi
- Department of Rheumatology, The First Central Hospital, Tianjin, China
| | - Yang Li
- Department of Rheumatology, The Second Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Zhuoli Zhang
- Department of Rheumatology and Clinical Immunology, Peking University First Hospital, Beijing, China
| | - Feng Ding
- Department of Rheumatology, Qilu Hospital of Shandong University, Jinan, China
| | - Jieruo Gu
- Department of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China
| | - Yi Liu
- Department of Rheumatology and Immunology, West China Hospital, Sichuan University, Chengdu, China
| | - Wei Wei
- Department of Rheumatology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xiaofeng Zeng
- Department of Rheumatology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China.,Key Laboratory of Rheumatology and Clinical Immunology, Ministry of Education, Beijing, China
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44
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Skaadel H, Bruserud Ø. Thrombotic complications in adult patients with severe single coagulation factor or platelet defects – an overview. Expert Rev Hematol 2019; 12:119-128. [DOI: 10.1080/17474086.2019.1570126] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Hanne Skaadel
- Section for Hematology, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Øystein Bruserud
- Section for Hematology, Department of Clinical Science, University of Bergen, Bergen, Norway
- Section for Hematology, Department of Medicine, Haukeland University Hospital, Bergen, Norway
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45
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Barnado A, Carroll RJ, Casey C, Wheless L, Denny JC, Crofford LJ. Phenome-wide association study identifies dsDNA as a driver of major organ involvement in systemic lupus erythematosus. Lupus 2018; 28:66-76. [PMID: 30477398 DOI: 10.1177/0961203318815577] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
In systemic lupus erythematosus (SLE), dsDNA antibodies are associated with renal disease. Less is known about comorbidities in patients without dsDNA or other autoantibodies. Using an electronic health record (EHR) SLE cohort, we employed a phenome-wide association study (PheWAS) that scans across billing codes to compare comorbidities in SLE patients with and without autoantibodies. We used our validated algorithm to identify SLE subjects. Autoantibody status was defined as ever positive for dsDNA, RNP, Smith, SSA and SSB. PheWAS was performed in antibody positive vs. negative SLE patients adjusting for age and race and using a false discovery rate of 0.05. We identified 1097 SLE subjects. In the PheWAS of dsDNA positive vs. negative subjects, dsDNA positive subjects were more likely to have nephritis ( p = 2.33 × 10-9) and renal failure ( p = 1.85 × 10-5). After adjusting for sex, race, age and other autoantibodies, dsDNA was independently associated with nephritis and chronic kidney disease. Those patients negative for dsDNA, RNP, SSA and SSB negative subjects were all more likely to have billing codes for sleep, pain and mood disorders. PheWAS uncovered a hierarchy within SLE-specific autoantibodies with dsDNA having the greatest impact on major organ involvement.
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Affiliation(s)
- A Barnado
- 1 Department of Medicine, Vanderbilt University Medical Center, Nashville, USA
| | - R J Carroll
- 2 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, USA
| | - C Casey
- 3 Department of Medicine, Lehigh Valley Health Network, Allentown, USA
| | - L Wheless
- 4 Department of Dermatology, Vanderbilt University Medical Center, Nashville, USA
| | - J C Denny
- 1 Department of Medicine, Vanderbilt University Medical Center, Nashville, USA.,2 Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, USA
| | - L J Crofford
- 1 Department of Medicine, Vanderbilt University Medical Center, Nashville, USA
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46
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Dammacco R, Procaccio P, Racanelli V, Vacca A, Dammacco F. Ocular Involvement in Systemic Lupus Erythematosus: The Experience of Two Tertiary Referral Centers. Ocul Immunol Inflamm 2018; 26:1154-1165. [DOI: 10.1080/09273948.2018.1501495] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Rosanna Dammacco
- Department of Ophthalmology and Neuroscience, University of Bari Medical School, Bari, Italy
| | - Pasquale Procaccio
- Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
| | - Vito Racanelli
- Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
| | - Angelo Vacca
- Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
| | - Franco Dammacco
- Department of Biomedical Sciences and Human Oncology, University of Bari Medical School, Bari, Italy
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47
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Reynolds JA, McCarthy EM, Haque S, Ngamjanyaporn P, Sergeant JC, Lee E, Lee E, Kilfeather SA, Parker B, Bruce IN. Cytokine profiling in active and quiescent SLE reveals distinct patient subpopulations. Arthritis Res Ther 2018; 20:173. [PMID: 30092845 PMCID: PMC6085716 DOI: 10.1186/s13075-018-1666-0] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 07/10/2018] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Patients with SLE display marked clinical and immunlogical heterogeneity. The purpose of the study was to investigate patterns of serum cytokines in patients with active and stable systemic lupus erythematosus (SLE) and to determine how they relate to clinical phenotype. METHODS Serum levels of 10 cytokines were measured retrospectively in a cohort of patients with SLE and in healthy controls using a high-sensitivity multiplex bead array. Disease activity was determined using the Systemic Lupus Erythematosus Disease Activity Index 2000 (SLEDAI-2K) and British Isles Lupus Assessment Group (BILAG-2004) indices. Logistic regression models were used to determine the association between cytokine levels and active SLE. Principal component analysis (PCA) and cluster analysis was then used to identify subgroups of patients on the basis of cytokine levels. RESULTS Serum chemokine (C-X-C motif) ligand 10 (CXCL10) and CXCL13 were significantly higher in patients with SLE compared to healthy controls. Two cytokines (pentraxin-related protein (PTX3) and CXCL10) were significantly higher in patients with active disease after adjustment for potential confounding factors. Measurement of four cytokines (CXCL10, IL-10, IL-21 and PTX3) significantly improved the performance of a model to identify patients with clinically active disease. Cluster analysis revealed that the patients formed 3 distinct groups, characterised by higher levels of interferon alpha (IFNα) and B lymphocyte stimulator (BLyS) (group 1), increased CXCL10 and CXCL13 (group 2) or low levels of cytokines (group 3). Group 2 had significantly lower serum complement and higher anti-double-stranded DNA antibodies and increased prevalence of inflammatory arthritis. CONCLUSIONS Multiplex analysis has identified a serum cytokine signature for active SLE. Within the SLE population distinct cytokine subgroups were identified, with differing clinical and immunological phenotypes that appeared stable over time. Assessment of cytokine profiles may reveal unique insights into disease heterogeneity.
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Affiliation(s)
- John A Reynolds
- Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.,The Kellgren Centre for Rheumatology, NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Eoghan M McCarthy
- The Kellgren Centre for Rheumatology, NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sahena Haque
- Rheumatology Department, Wythenshawe Hospital, Manchester University Hospitals NHS Foundation, Manchester, UK
| | - Pintip Ngamjanyaporn
- Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.,Division of Allergy, Immunology and Rheumatology, Department of Internal Medcine, Faculty of Medicine, Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Jamie C Sergeant
- Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.,Centre for Biostatistics, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Elaine Lee
- Aeirtec Ltd, The SmokeHouses Building, Clifford Fort, North Shields, Newcastle upon Tyne, UK
| | - Eileen Lee
- Aeirtec Ltd, The SmokeHouses Building, Clifford Fort, North Shields, Newcastle upon Tyne, UK
| | - Stephen A Kilfeather
- Aeirtec Ltd, The SmokeHouses Building, Clifford Fort, North Shields, Newcastle upon Tyne, UK
| | - Ben Parker
- Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.,The Kellgren Centre for Rheumatology, NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Ian N Bruce
- Arthritis Research UK Centre for Epidemiology, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK. .,The Kellgren Centre for Rheumatology, NIHR Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK.
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48
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Dima A, Jurcut C, Baicus C. The impact of anti-U1-RNP positivity: systemic lupus erythematosus versus mixed connective tissue disease. Rheumatol Int 2018; 38:1169-1178. [DOI: 10.1007/s00296-018-4059-4] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2018] [Accepted: 05/17/2018] [Indexed: 12/18/2022]
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49
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Mahler M. Lack of standardisation of ANA and implications for drug development and precision medicine. Ann Rheum Dis 2018; 78:e33. [PMID: 29574414 DOI: 10.1136/annrheumdis-2018-213374] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2018] [Accepted: 03/11/2018] [Indexed: 12/21/2022]
Affiliation(s)
- Michael Mahler
- Department of Research, Inova Diagnostics, San Diego, California, USA
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50
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Abstract
Background Patients with systemic lupus erythematosus (SLE) may form clusters with clinical manifestations and autoantibodies. Objective The objective of this report is to study whether SLE patients with positive rheumatoid factor (RF) have a special clinical and/or serological profile. Methods A retrospective study of 467 SLE patients seen at a single rheumatology unit was conducted. Epidemiological data (age, gender, age at disease onset, ethnic background and tobacco use), clinical data (malar rash, photosensitivity, oral ulcers, discoid lesions, serositis, glomerulonephritis, convulsions, psychosis, hemolytic anemia, leukopenia, lymphocytopenia, arthritis and hypothyroidism) and serological profile (anti-dsDNA, anti-Ro/SS-A, anti-La/SS-B, anti-RNP, anti-Sm, IgG aCL, IgM aCL, lupus anticoagulant, direct Coombs and RF) were collected. Patients with positive and negative RF were compared. Results RF was found in 24.9% of the sample. In univariate analysis, RF was positively associated with butterfly rash ( p = 0.04), anti-Ro ( p = 0.03), anti-Sm antibodies ( p = 0.01) and hypothyroidism ( p = 0.01) and negatively associated with glomerulonephritis ( p = 0.003). Logistic regression showed that only glomerulonephritis ( p = 0.03; OR = 0.45; 95% CI = 0.21-0.93) and anti-Ro ( p = 0.009; OR = 2.3; 95% CI = 1.24-4.57) were independent associations. Conclusion In our sample RF was associated with protection from glomerulonephritis and with higher prevalence of anti-Ro antibodies.
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Affiliation(s)
- A Fedrigo
- 1 Rheumatology Service, Evangelical University Hospital of Curitiba, Curitiba, Brazil
| | - T A F G Dos Santos
- 1 Rheumatology Service, Evangelical University Hospital of Curitiba, Curitiba, Brazil
| | - R Nisihara
- 1 Rheumatology Service, Evangelical University Hospital of Curitiba, Curitiba, Brazil
- 2 Department of Medicine, Positivo University, Curitiba, Brazil
| | - T Skare
- 1 Rheumatology Service, Evangelical University Hospital of Curitiba, Curitiba, Brazil
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