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Zhang D, Wang H, Zhou X, Yang J, Liu Y, Wang W, Jiang P, Fan B. Clinical characteristics and prognostic analysis of idiopathic inflammatory myopathy with positive anti-aminoacyl-tRNA synthetase antibodies: A single center experience. Immun Inflamm Dis 2023; 11:e1085. [PMID: 38018600 PMCID: PMC10655634 DOI: 10.1002/iid3.1085] [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: 07/10/2023] [Revised: 10/30/2023] [Accepted: 11/02/2023] [Indexed: 11/30/2023] Open
Abstract
OBJECTIVES To identify the differences of clinical characteristics, laboratory findings, and the long-term outcomes in patients with anti-synthetase syndrome (ASS) of different anti-aminoacyl-transfer RNA synthetase antibodies. METHODS We retrospectively enrolled 119 patients with ASS, and the clinical characteristics and laboratory findings were collected. Additionally, multivariate COX regression analysis was performed to estimate the risk factors of prognosis in patients with ASS. RESULTS The frequency of interstitial lung disease (ILD) reached 93.3% in our cohort, of 28 (23.5%) was classified as rapidly progressive (RP)-ILD. The highest incidence of RP-ILD was 36.4% in the PL12 group of ASS patients. The ILD group was characterized by an older age, a lower prevalence of V sign, and a higher prevalence of pulmonary symptoms when contrasted with the non-ILD group. There were statistical differences of clinical significance in arthritis, myositis, mechanic's hands, triad, shawl sign, V sign, and Raynaud's phenomenon among the four subgroups (all p < .05). Additionally, the prevalence rates of arthritis, myositis, mechanic's hands, triad, and V sign in the anti-Jo1 antibody-positive group were significantly higher than anti-Jo1 antibody-negative patients with ASS (all p < .05). Multivariate Cox regression analysis showed mechanic's hands (odds ratio [OR] = 6.47, p < .001), anti-nuclear antibodies (ANA) (OR = 2.13, p = .026), ILD (OR = 10.50, p < .001), and V sign (OR = 0.30, p = .007) were independent factors affecting the prognosis of patients with ASS. The incidences of RP-ILD, arthritis, myositis, triad, mechanic's hands, and shawl sign were more frequent in the anti-Ro52 antibody-positive group than the anti-Ro52 antibody-negative patients with ASS (all p < .05). CONCLUSIONS Patients with ASS accompanied with ILD are highly prevalent. Mechanic's hands, ANA, and ILD may be a potential biomarker for predicting a poor prognosis in patients with ASS. Additionally, the detection of the anti-Ro52 antibody provides valuable insights for managing and predicting disease progression and long-term outcomes.
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Affiliation(s)
- Di Zhang
- Department of RheumatologyAffiliated Hospital of Shandong University of Traditional Chinese MedicineJinanShandongChina
| | - Huijing Wang
- Department of RheumatologyRenji Hospital, School of Medicine, Shanghai Jiaotong UniversityShanghaiChina
| | - Xinpeng Zhou
- Department of RheumatologyAffiliated Hospital of Shandong University of Traditional Chinese MedicineJinanShandongChina
| | - Jianguo Yang
- College of Traditional Chinese MedicineShandong University of Traditional Chinese MedicineJinanShandongChina
| | - Yuan Liu
- College of Traditional Chinese MedicineShandong University of Traditional Chinese MedicineJinanShandongChina
| | - Wenjing Wang
- College of Traditional Chinese MedicineShandong University of Traditional Chinese MedicineJinanShandongChina
| | - Ping Jiang
- Department of RheumatologyAffiliated Hospital of Shandong University of Traditional Chinese MedicineJinanShandongChina
| | - Bing Fan
- Department of RheumatologyAffiliated Hospital of Shandong University of Traditional Chinese MedicineJinanShandongChina
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Fritzler MJ, Bentow C, Satoh M, McHugh N, Ghirardello A, Mahler M. Deciphering the Autoantibody Response to the OJ Antigenic Complex. Diagnostics (Basel) 2023; 13:diagnostics13010156. [PMID: 36611448 PMCID: PMC9818932 DOI: 10.3390/diagnostics13010156] [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: 11/03/2022] [Revised: 12/10/2022] [Accepted: 12/23/2022] [Indexed: 01/04/2023] Open
Abstract
(1) Background: Myositis specific antibodies (MSA) are important diagnostic biomarkers. Among the rarest and most challenging MSA are anti-OJ antibodies which are associated with anti-synthetase syndrome (ASS). In contrast to the other tRNA synthetases that are targets of ASS autoantibodies (e.g Jo-1, PL-7, PL-12, EJ, KS, Zo), OJ represents a macromolecular complex with several ribonucleoprotein subunits. Therefore, the choice of the antigen in autoantibody assays can be challenging. (2) Methods: We collected two independent cohorts with anti-OJ antibodies, one based on a commercial line immunoassay (LIA) (n = 39), the second based on protein immunoprecipitation (IP) (n = 15). Samples were tested using a particle-based multi-analyte technology (PMAT) system that allows for the simultaneous detection of antibodies to various autoantigens. For the detection of anti-OJ antibodies, two different antigens were deployed (KARS, IARS) on PMAT. The reactivity to the two antigens KARS and IARS was analyzed individually and combined in a score (sum of the median fluorescence intensities). (3) Results: In the cohort selection based on LIA, 3/39 (7.7%) samples were positive for anti-KARS and 7/39 (17.9%) for anti-IARS and 14/39 (35.9%) when the two antigens were combined. In contrast, in samples selected by IP the sensitivity of anti-KARS was higher: 6/15 (40.0%) samples were positive for anti-KARS, 4/15 (26.7%) for anti-IARS and 12/15 (80.0%) for the combination of the two antigens. 18/39 (46.2%) of the LIA samples generated a cytoplasmic IIF pattern (compatible with anti-synthetase antibodies), but there was no association with the antibody levels, neither with LIA nor with PMAT. (4) Conclusions: The combination of IARS and KARS might represent a promising approach for the detection of anti-OJ antibodies on a fully automated platform.
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Affiliation(s)
- Marvin J. Fritzler
- Cumming School of Medicine, University of Calgary, Calgary, AB T2N 1N4, Canada
| | | | - Minoru Satoh
- Department of Human, Information and Science, University of Occupational and Environmental Health, Kitakyushu 807-8555, Japan
- Department of Medicine, Kitakyushu Yahata-Higashi Hospital, Kitakyushu 805-0071, Japan
| | - Neil McHugh
- Department Pharmacy and Pharmacology, University of Bath, Bath BA2 7AY, UK
| | - Anna Ghirardello
- Unit of Rheumatology, Department of Medicine, University of Padova, 35122 Padua, Italy
| | - Michael Mahler
- Werfen Autoimmunity, San Diego, CA 92131, USA
- Correspondence:
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Amlani A, Choi MY, Buhler KA, Hudson M, Tarnopolsky M, Brady L, Schmeling H, Swain MG, Stingl C, Reed A, Fritzler MJ. Anti-Valosin-Containing Protein (VCP/p97) Autoantibodies in Inclusion Body Myositis and Other Inflammatory Myopathies. ACR Open Rheumatol 2022; 5:10-14. [PMID: 36373433 PMCID: PMC9837394 DOI: 10.1002/acr2.11510] [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: 02/28/2022] [Revised: 08/29/2022] [Accepted: 09/27/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE The rationale for this study was based on reports that valosin-containing protein (VCP) mutations are found in hereditary inclusion body myositis (IBM) and VCP was detected in rimmed vacuoles of sporadic IBM (sIBM) muscle biopsies. Autoantibodies to VCP have not been reported in sIBM or other inflammatory myopathies (IIMs). The aim of this study was to determine the frequency and clinical significance of anti-VCP antibodies in sIBM and other IIMs. METHODS Sera were collected from 73 patients with sIBM and 383 comparators or controls, including patients with IIM (n = 69), those with juvenile dermatomyositis (JDM) (n = 67), those with juvenile idiopathic arthritis (JIA) (n = 47), those with primary biliary cholangitis (PBC) (n = 105), controls that were age matched to patients with sIBM (similarly aged controls [SACs]) (n = 63), and healthy controls (HCs) (n = 32). Immunoglobulin G antibodies to VCP were detected by addressable laser bead immunoassay using a full-length recombinant human protein. RESULTS Among patients with sIBM, 26.0% (19/73) were positive for anti-VCP. The frequency in disease controls was 15.0% (48/320). Among SACs, the frequency was 1.6% (1/63), and in HCs 0% (0/32). Frequencies were 17.5% (11/63) for IIM, 25.7% (27/105) for PBC, 3.0% (2/67) for JDM, and 17.0% (8/47) for JIA. The sensitivity, specificity, positive predictive value, and negative predictive value of anti-VCP for sIBM were 26.0%, 87.2%, 28.4%, and 85.9%, respectively. Of patients with sIBM, 15.1% (11/73) were positive for both anti-VCP and anti-cytosolic 5'-nucleotidase 1A (NT5c1A). Eleven percent of patients (8/73) were positive for anti-VCP, but negative for anti-NT5c1A. CONCLUSION Anti-VCP has low sensitivity and moderate specificity for sIBM but may help fill the seronegative gap in sIBM. Further studies are needed to determine whether anti-VCP is a biomarker for a clinical phenotype that may have clinical value.
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Affiliation(s)
- Adam Amlani
- Cumming School of Medicine, University of CalgaryAlbertaCanada
| | - May Y. Choi
- Cumming School of Medicine, University of CalgaryAlbertaCanada
| | | | - Marie Hudson
- Jewish General Hospital and McGill UniversityMontrealQuebecCanada
| | | | - Lauren Brady
- McMaster University Medical CenterHamiltonOntarioCanada
| | | | - Mark G. Swain
- Cumming School of Medicine, University of CalgaryAlbertaCanada
| | - Cory Stingl
- Duke University School of MedicineDurhamNorth Carolina
| | - Ann Reed
- Duke University School of MedicineDurhamNorth Carolina
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Wells M, Alawi S, Thin KYM, Gunawardena H, Brown AR, Edey A, Pauling JD, Barratt SL, Adamali HI. A multidisciplinary approach to the diagnosis of antisynthetase syndrome. Front Med (Lausanne) 2022; 9:959653. [PMID: 36186825 PMCID: PMC9515890 DOI: 10.3389/fmed.2022.959653] [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: 06/01/2022] [Accepted: 08/16/2022] [Indexed: 11/16/2022] Open
Abstract
Antisynthetase syndrome is a subtype of idiopathic inflammatory myopathy, strongly associated with the presence of interstitial lung disease. Diagnosis is made by identifying myositis-specific antibodies directed against aminoacyl tRNA synthetase, and relevant clinical and radiologic features. Given the multisystem nature of the disease, diagnosis requires the careful synthesis of subtle clinical and radiological features with the interpretation of specialized autoimmune serological testing. This is provided in a multidisciplinary environment with input from rheumatologists, respiratory physicians, and radiologists. Differentiation from other idiopathic interstitial lung diseases is key; treatment and prognosis differ between patients with antisynthetase syndrome and idiopathic interstitial lung disease. In this review article, we look at the role of the multidisciplinary team and its individual members in the initial diagnosis of the antisynthetase syndrome, including the role of physicians, radiologists, and the wider team.
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Affiliation(s)
- Matthew Wells
- Department of Rheumatology, North Bristol NHS Trust, Bristol, United Kingdom
| | - Sughra Alawi
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
| | - Kyaing Yi Mon Thin
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
| | - Harsha Gunawardena
- Department of Rheumatology, North Bristol NHS Trust, Bristol, United Kingdom
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
| | - Adrian R Brown
- Immunology Laboratory, North Bristol NHS Trust, Bristol, United Kingdom
| | - Anthony Edey
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
| | - John D Pauling
- Department of Rheumatology, North Bristol NHS Trust, Bristol, United Kingdom
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
| | - Shaney L Barratt
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
| | - Huzaifa I Adamali
- Bristol Interstitial Lung Disease Service, North Bristol NHS Trust, Bristol, United Kingdom
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5
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The Past, Present, and Future in Antinuclear Antibodies (ANA). Diagnostics (Basel) 2022; 12:diagnostics12030647. [PMID: 35328200 PMCID: PMC8946865 DOI: 10.3390/diagnostics12030647] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 02/28/2022] [Accepted: 03/05/2022] [Indexed: 12/21/2022] Open
Abstract
Autoantibodies are a hallmark of autoimmunity and, specifically, antinuclear antibodies (ANAs) are the most relevant autoantibodies present in systemic autoimmune rheumatic diseases (SARDs). Over the years, different methods from LE cell to HEp-2 indirect immunofluorescence (IIF), solid-phase assays (SPAs), and finally multianalyte technologies have been developed to study ANA-associated SARDs. All of them provide complementary information that is important to provide the most clinically valuable information. The identification of new biomarkers together with multianalyte platforms will help close the so-called “seronegative gap” and to correctly classify and diagnose patients with SARDs. Finally, artificial intelligence and machine learning is an area still to be exploited but in a next future will help to extract patterns within patient data, and exploit these patterns to predict patient outcomes for improved clinical management.
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Mahler M, Malyavantham K, Seaman A, Bentow C, Anunciacion-Llunell A, Sanz-Martínez MT, Viñas-Gimenez L, Selva-O’Callaghan A. Profiling of Myositis Specific Antibodies and Composite Scores as an Aid in the Differential Diagnosis of Autoimmune Myopathies. Diagnostics (Basel) 2021; 11:diagnostics11122246. [PMID: 34943483 PMCID: PMC8699835 DOI: 10.3390/diagnostics11122246] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 11/18/2021] [Accepted: 11/24/2021] [Indexed: 01/25/2023] Open
Abstract
(1) Background: Myositis specific antibodies (MSA) represent important diagnostic and stratification tools in idiopathic inflammatory myositis (IIM) patients. Here we aimed to evaluate the clinical performance of MSA profiled by a novel particle based multi-analyte technology (PMAT) in IIM and subsets thereof. (2) Methods: 264 IIM patients and 200 controls were tested for MSA using PMAT (Inova Diagnostics, research use only). Diagnostic performance was analyzed and composite scores were generated. (3) Results: The sensitivity/specificity of the individual MSA were: 19.7%/100% (Jo-1), 7.2%/100.0% (Mi-2), 3.0%/99.0% (NXP2), 3.8%/100.0% (SAE), 2.7%/100.0% (PL-7), 1.9%/99.5 (PL-12), 1.1%/100.0% (EJ), 15.5%/99.5% (TIF1γ), 8.3%/98.5% (MDA5), 6.1%/99.0% (HMGCR) and 1.9%/98.5% (SRP). Of all IIM patients, 180/264 tested positive for at least one of the MSAs. In the individual control group, 12/200 (6.0%) tested positive for at least one MSA, most of which had levels close to the cut-off (except one SRP and one PL-12). Only 6/264 (2.3%) IIM patients were positive for more than one antibody (MDA5/HMGCR, EJ/PL-7, 2 x MDA5/TIF1γ, EJ/SAE, SAE/TIF1γ). The overall sensitivity was 68.2% paired with a specificity of 94.0%, leading to an odds ratio of 33.8. The composite scores showed good discrimination between subgroups (e.g., anti-synthetase syndrome). (4) Conclusion: MSA, especially when combined in composite scores (here measured by PMAT), provide value in stratification of patients with IIM.
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Affiliation(s)
- Michael Mahler
- Research and Development, Inova Diagnostics, San Diego, CA 92131, USA; (K.M.); (A.S.); (C.B.)
- Correspondence: or
| | - Kishore Malyavantham
- Research and Development, Inova Diagnostics, San Diego, CA 92131, USA; (K.M.); (A.S.); (C.B.)
| | - Andrea Seaman
- Research and Development, Inova Diagnostics, San Diego, CA 92131, USA; (K.M.); (A.S.); (C.B.)
| | - Chelsea Bentow
- Research and Development, Inova Diagnostics, San Diego, CA 92131, USA; (K.M.); (A.S.); (C.B.)
| | - Ariadna Anunciacion-Llunell
- Autoimmune Systemic Diseases Unit, Department of Internal Medicine, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (A.A.-L.); (A.S.-O.)
| | - María Teresa Sanz-Martínez
- Immunology Department, Hospital Vall d’Hebrón, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.T.S.-M.); (L.V.-G.)
| | - Laura Viñas-Gimenez
- Immunology Department, Hospital Vall d’Hebrón, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (M.T.S.-M.); (L.V.-G.)
| | - Albert Selva-O’Callaghan
- Autoimmune Systemic Diseases Unit, Department of Internal Medicine, Hospital Vall d’Hebron, Universitat Autònoma de Barcelona, 08035 Barcelona, Spain; (A.A.-L.); (A.S.-O.)
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7
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Understanding and interpreting antinuclear antibody tests in systemic rheumatic diseases. Nat Rev Rheumatol 2020; 16:715-726. [PMID: 33154583 DOI: 10.1038/s41584-020-00522-w] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/25/2020] [Indexed: 12/12/2022]
Abstract
Antinuclear antibodies (ANAs) are valuable laboratory markers to screen for and support the diagnosis of various rheumatic diseases (known as ANA-associated rheumatic diseases). The importance of ANA testing has been reinforced by the inclusion of ANA positivity as an entry criterion in the 2019 systemic lupus erythematosus classification criteria. In addition, specific ANAs (such as antibodies to Sm, double-stranded DNA (dsDNA), SSA/Ro60, U1RNP, topoisomerase I, centromere protein B (CENPB), RNA polymerase III and Jo1) are included in classification criteria for other rheumatic diseases. A number of techniques are available for detecting antibodies to a selection of clinically relevant antigens (such as indirect immunofluorescence and solid phase assays). In this Review, we discuss the advantages and limitations of these techniques, as well as the clinical relevance of the differences between the techniques, to provide guidance in understanding and interpreting ANA test results. Such understanding not only necessitates insight into the sensitivity and specificity of each assay, but also into the importance of the disease context and antibody level. We also highlight the value of titre-specific information (such as likelihood ratios).
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Infantino M, Carbone T, Manfredi M, Grossi V, Antico A, Panozzo MP, Brusca I, Alessio MG, Previtali G, Platzgummer S, Cinquanta L, Paura G, Deleonardi G, Trevisan MT, Radice A, Castiglione C, Imbastaro T, Fabris M, Pesce G, Porcelli B, Terzuoli L, Sorrentino MC, Tampoia M, Abbracciavento L, Villalta D, Conte M, Barberio G, Gallo N, Benucci M, Bizzaro N. A new diagnostic algorithm for pattern-oriented autoantibody testing according to the ICAP nomenclature: A pilot study. Autoimmun Rev 2020; 19:102588. [PMID: 32540447 DOI: 10.1016/j.autrev.2020.102588] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 02/14/2020] [Indexed: 12/31/2022]
Abstract
The commercial tests currently available as second-level tests to detect ANA sub-specificities are generally used independently from the ANA immunofluorescence (IIF) pattern. The aim of this study was to evaluate the efficacy of the use of a customizable pattern-oriented antigenic panel by immunoblot (IB) using the International Consensus on ANA Patterns (ICAP) classification scheme, in order to introduce a novel and updated autoimmune diagnostic flowchart. 710 sera referred for routine ANA testing were selected on the basis of the ANA pattern according to the ICAP nomenclature (nuclear speckled AC-2,4,5; nucleolar AC-8,9,10,29; cytoplasmic speckled AC-18,19,20) and on an IIF titer ≥1:320. They were then assayed by three experimental IB assays using a panel of selected antigens. ICAP-oriented IB detected 515 antibody reactivities vs. 457 of traditional anti-ENA in the nuclear speckled pattern group, 108 vs. 28 in the nucleolar pattern group, and 43 vs. 34 in the cytoplasmic speckled pattern. This pilot study may lead the way for a new approach introducing an ICAP pattern-oriented follow up testing as a valid alternative to the existing standard panels, thus enabling more patients with autoimmune rheumatic disease to be accurately diagnosed.
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Affiliation(s)
- Maria Infantino
- Laboratorio Immunologia Allergologia, Ospedale San Giovanni di Dio, Firenze, Italy.
| | - Teresa Carbone
- IReL, Istituto Reumatologico Lucano, Ospedale San Carlo, Potenza, Italy
| | - Mariangela Manfredi
- Laboratorio Immunologia Allergologia, Ospedale San Giovanni di Dio, Firenze, Italy
| | - Valentina Grossi
- Laboratorio Immunologia Allergologia, Ospedale San Giovanni di Dio, Firenze, Italy
| | | | | | - Ignazio Brusca
- Patologia Clinica, Ospedale Buccheri La Ferla FBF, Palermo, Italy
| | | | - Giulia Previtali
- Laboratorio Analisi Chimico Cliniche, ASST Papa Giovanni XXIII, Bergamo, Italy
| | | | - Luigi Cinquanta
- Laboratorio centralizzato (HUB) SDN Spa, Gruppo SYNLAB, Pagani, SA, Italy
| | - Giusy Paura
- Autoimmmunologia e allergologia diagnostica di laboratorio, OORR San Giovanni di Dio e Ruggi d'Aragona, Salerno, Italy
| | - Gaia Deleonardi
- Laboratorio Unico Metropolitano, Ospedale Maggiore, Bologna, Italy
| | | | - Antonella Radice
- UOC Microbiologia e Virologia, Presidio Ospedaliero San Carlo Borromeo, Milano, Italy
| | | | | | - Martina Fabris
- SOC Istituto di Patologia Clinica, Azienda Sanitaria Universitaria Integrata, Udine, Italy
| | - Giampaola Pesce
- Laboratorio Diagnostico di Autoimmunologia IRCCS Ospedale Policlinico San Martino Genova Dipartimento di Medicina Interna e specialità mediche (DIMI), Università di Genova, Genova, Italy
| | - Brunetta Porcelli
- UOC Laboratorio Patologia Clinica, Policlinico S. Maria alle Scotte, AOU Senese, Siena, Italy
| | - Lucia Terzuoli
- UOC Laboratorio Patologia Clinica, Policlinico S. Maria alle Scotte, AOU Senese, Siena, Italy
| | - Maria Concetta Sorrentino
- Dipartimento di Medicina di Laboratorio e Biotecnologie avanzate, Laboratorio di Patologia Clinica, Microbiologia e Virologia, Palermo, Italy
| | - Marilina Tampoia
- Laboratorio di Autoimmunologia, UOC di Patologia Clinica Universitaria, Bari, Italy
| | | | - Danilo Villalta
- SSD di Allergologia e Immunologia clinica, Presidio Ospedaliero S. Maria degli Angeli, Pordenone, Italy
| | - Mariaelisabetta Conte
- SSD di Allergologia e Immunologia clinica, Presidio Ospedaliero S. Maria degli Angeli, Pordenone, Italy
| | - Giuseppina Barberio
- U.O.C. Medicina di Laboratorio Azienda ULSS n2 Marca trevigiana, Treviso, Italy
| | - Nicoletta Gallo
- Dipartimento di Medicina di Laboratorio, Azienda Universitaria di Padova, Padova, Italy
| | | | - Nicola Bizzaro
- Laboratorio di Patologia Clinica, Ospedale San Antonio, Tolmezzo, Italy
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Vulsteke JB, Satoh M, Malyavantham K, Bossuyt X, De Langhe E, Mahler M. Anti-OJ autoantibodies: Rare or underdetected? Autoimmun Rev 2019; 18:658-664. [PMID: 31059843 DOI: 10.1016/j.autrev.2019.05.002] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2019] [Accepted: 01/11/2019] [Indexed: 12/15/2022]
Abstract
Anti-OJ autoantibodies are rare myositis-specific autoantibodies that have been described to target isoleucyl-tRNA synthetase. Routinely used multiplex assays perform poorly in detection of anti-OJ antibodies. In this manuscript, we review the existing literature on critical issues in detection of anti-OJ and the clinical features associated with anti-OJ. The challenging detection with line/blot immunoassays and ELISAs is most likely related to the characteristics of the autoantigen involved, which is part of a multi-enzyme synthetase complex. Anti-OJ autoantibodies might therefore be more aptly termed anti-OJ complex autoantibodies. Anti-OJ autoantibodies are associated with the anti-synthetase syndrome, with interstitial lung disease (ILD) frequently being the sole manifestation. Myositis, present in the majority of patients with anti-OJ antibodies, is more severe than in patients with other anti-aminoacyl-tRNA synthetases. Most patients respond to glucocorticoid therapy. As detection of anti-OJ is relevant for treatment, reliable and practical detection is needed. Meanwhile, clinicians need to be aware of the possibility of anti-OJ in patients with ILD, isolated or in combination with myositis.
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Affiliation(s)
- Jean-Baptiste Vulsteke
- Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Department of Rheumatology, University Hospitals Leuven, Leuven, Belgium
| | - Minoru Satoh
- Department of Clinical Nursing, School of Health Sciences, University of Occupational and Environmental Health, Japan
| | | | - Xavier Bossuyt
- Department of Laboratory Medicine, University Hospitals Leuven, Leuven, Belgium; Clinical and Diagnostic Immunology, Department of Microbiology and Immunology, KU Leuven, Leuven, Belgium
| | - Ellen De Langhe
- Skeletal Biology and Engineering Research Center, Department of Development and Regeneration, KU Leuven, Leuven, Belgium; Department of Rheumatology, University Hospitals Leuven, Leuven, Belgium
| | - Michael Mahler
- Research and Development, Inova Diagnostics, San Diego, USA.
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10
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Mahler M, Betteridge Z, Bentow C, Richards M, Seaman A, Chinoy H, McHugh N. Comparison of Three Immunoassays for the Detection of Myositis Specific Antibodies. Front Immunol 2019; 10:848. [PMID: 31114570 PMCID: PMC6503053 DOI: 10.3389/fimmu.2019.00848] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2018] [Accepted: 04/01/2019] [Indexed: 11/30/2022] Open
Abstract
Objectives: Standardization of myositis specific antibody (MSA) detection is of high importance because these antibodies are relevant for diagnosis and stratification of patients with idiopathic inflammatory myositis (IIM) and have the potential to be used in classification criteria. Many laboratories rely on immunoprecipitation (IP) for the detection of MSA but this approach is compromised by logistic, standardization, and regulatory challenges. Therefore, reliable alternatives to IP are mandatory. Here we aimed to compare three methods for the detection of MSA. Methods: Our study initiated from a cohort of 1,619 IIM patients (BIRD/University of Bath serology service and UKMyoNet cohorts) and resulted in 157 unique serum samples enriched for higher prevalence of MSA characterized by the laboratory's routine methods, IP and line immunoassay (LIA: Euroimmun). All samples were tested using a novel fully automated particle-based multi-analyte technology (PMAT, Inova Diagnostics, research use only). Analyses included antibodies to PL-7, PL-12, SRP, NXP2, Mi-2, SAE, EJ, MDA5, TIF1γ, SRP, NXP2. Results: Overall high agreements were observed between novel methods (LIA and PMAT) and IP (Cohen's kappa 0.46–0.96) for the detection of MSA. Lowest level of agreement was found for EJ and highest for SAE. Conclusion: The data hold promise for advancements in standardization of MSA assays as well as for the potential inclusion of MSA in future classification criteria.
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Affiliation(s)
| | - Zoe Betteridge
- Department of Pharmacy and Pharmacology, University of Bath, Bath, United Kingdom
| | | | | | - Andrea Seaman
- Inova Diagnostics, Inc., San Diego, CA, United States
| | - Hector Chinoy
- Rheumatology Department, Salford Royal NHS Foundation Trust, Manchester Academic Health Science Centre, Salford, United Kingdom.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, The University of Manchester, Manchester, United Kingdom
| | - Neil McHugh
- Department of Pharmacy and Pharmacology, University of Bath, Bath, United Kingdom
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11
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Amlani A, Choi MY, Tarnopolsky M, Brady L, Clarke AE, Garcia-De La Torre I, Mahler M, Schmeling H, Barber CE, Jung M, Fritzler MJ. Anti-NT5c1A Autoantibodies as Biomarkers in Inclusion Body Myositis. Front Immunol 2019; 10:745. [PMID: 31024569 PMCID: PMC6465553 DOI: 10.3389/fimmu.2019.00745] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2018] [Accepted: 03/19/2019] [Indexed: 11/13/2022] Open
Abstract
Objective: Sporadic Inclusion Body Myositis (sIBM) is an inflammatory myopathy (IIM) without a specific diagnostic biomarker until autoantibodies to the cytosolic 5′-nucleotidase 1A (NT5c1A/Mup44) were reported. The objectives of our study were to determine the sensitivity and specificity of anti-NT5c1A for sIBM, demonstrate demographic, clinical and serological predictors for anti-NT5c1A positivity and determine if anti-nuclear antibody (ANA) indirect immunofluorescence (IIF) staining on HEp-2 cells is a reliable screening method for anti-NT5c1A. Methods: Sera from sIBM patients and controls were stored at −80°C until required for analysis. IgG antibodies to NT5c1A were detected by an addressable laser bead immunoassay (ALBIA) using a full-length human recombinant protein. Autoantibodies to other autoimmune myopathy antigens (Jo-1, OJ, TIF1y, PL-12, SAE, EJ, MDA5, PL7, SRP, NXP2, MI-2) were detected by line immunoassay (LIA), chemiluminescence immunoassay (CIA) or enzyme linked immunosorbent assay (ELISA) and ANA detected by IIF on HEp-2 substrate. Demographic, clinical and serological data were obtained by chart review. Results: Forty-three patients with sIBM, 537 disease control patients with other autoimmune, degenerative and neuromuscular diseases, and 78 healthy controls were included. 48.8% (21/43) of sIBM patients were positive for anti-NT5c1A. The overall sensitivity, specificity, positive predictive value, and negative predictive value of anti-NT5c1A for sIBM were 0.49, 0.92, 0.29, and 0.96, respectively. Compared to sIBM, the frequency of anti-NT5c1A was lower in both the disease control group (8.8%, OR 0.10 [95%CI: 0.05–0.20], p < 0.0001) and in the apparently healthy control group (5.1%, OR 0.06 [95%CI: 0.02–0.18], p < 0.0001). In the univariable analysis, sIBM patients with more severe muscle weakness were more likely to be anti-NT5c1A positive (OR 4.10 [95% CI: 1.17, 14.33], p = 0.027), although this was not statistically significant (adjusted OR 4.30 [95% CI: 0.89, 20.76], p = 0.069) in the multivariable analysis. The ANA of sIBM sera did not demonstrate a consistent IIF pattern associated with anti-NT5c1A. Conclusions: Anti-NT5c1A has moderate sensitivity and high specificity for sIBM using ALBIA. The presence of anti-NT5c1A antibodies may be associated with muscle weakness. Anti-NT5c1A antibodies were not associated with a specific IIF staining pattern, hence screening using HEp-2 substrate is unlikely to be a useful predictor for presence of these autoantibodies.
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Affiliation(s)
- Adam Amlani
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - May Y Choi
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Mark Tarnopolsky
- Department of Pediatrics, McMaster University Medical Center, Hamilton, ON, Canada
| | - Lauren Brady
- Department of Pediatrics, McMaster University Medical Center, Hamilton, ON, Canada
| | - Ann E Clarke
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Ignacio Garcia-De La Torre
- Hospital General de Occidente and University of Guadalajara, Guadalajara, Mexico.,PANLAR Myositis Study Group, Guadalajara, Mexico
| | | | | | - Claire E Barber
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Michelle Jung
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Marvin J Fritzler
- Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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12
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Damoiseaux J, Andrade LEC, Carballo OG, Conrad K, Francescantonio PLC, Fritzler MJ, Garcia de la Torre I, Herold M, Klotz W, Cruvinel WDM, Mimori T, von Muhlen C, Satoh M, Chan EK. Clinical relevance of HEp-2 indirect immunofluorescent patterns: the International Consensus on ANA patterns (ICAP) perspective. Ann Rheum Dis 2019; 78:879-889. [PMID: 30862649 PMCID: PMC6585284 DOI: 10.1136/annrheumdis-2018-214436] [Citation(s) in RCA: 184] [Impact Index Per Article: 36.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2018] [Accepted: 01/23/2019] [Indexed: 12/21/2022]
Abstract
The indirect immunofluorescence assay (IIFA) on HEp-2 cells is widely used for detection of antinuclear antibodies (ANA). The dichotomous outcome, negative or positive, is integrated in diagnostic and classification criteria for several systemic autoimmune diseases. However, the HEp-2 IIFA test has much more to offer: besides the titre or fluorescence intensity, it also provides fluorescence pattern(s). The latter include the nucleus and the cytoplasm of interphase cells as well as patterns associated with mitotic cells. The International Consensus on ANA Patterns (ICAP) initiative has previously reached consensus on the nomenclature and definitions of HEp-2 IIFA patterns. In the current paper, the ICAP consensus is presented on the clinical relevance of the 29 distinct HEp-2 IIFA patterns. This clinical relevance is primarily defined within the context of the suspected disease and includes recommendations for follow-up testing. The discussion includes how this information may benefit the clinicians in daily practice and how the knowledge can be used to further improve diagnostic and classification criteria.
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Affiliation(s)
- Jan Damoiseaux
- Central Diagnostic Laboratory, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Orlando Gabriel Carballo
- Department of Immunology, Instituto Universitario del Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.,Laboratory of Immunology, Hospital General de Agudos Carlos G Durand, Buenos Aires, Argentina
| | - Karsten Conrad
- Immunology, Medical Faculty TU Dresden, Dresden, Germany
| | | | | | | | - Manfred Herold
- Rheumatology Unit, Clinical Department of General Internal Medicine, Innsbruck Medical University, Innsbruck, Austria
| | - Werner Klotz
- Department of Internal Medicine II, Medical University of Innsbruck, Innsbruck, Austria
| | | | - Tsuneyo Mimori
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate school of Medicine, Kyoto, Japan
| | | | - Minoru Satoh
- Department of Clinical Nursing, University of Occupational and Environmental Health, Kitakyushu, Japan
| | - Edward K Chan
- Department of Oral Biology, University of Florida, Gainesville, Florida, USA
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13
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Damoiseaux J, Vulsteke JB, Tseng CW, Platteel AC, Piette Y, Shovman O, Bonroy C, Hamann D, De Langhe E, Musset L, Chen YH, Shoenfeld Y, Allenbach Y, Bossuyt X. Autoantibodies in idiopathic inflammatory myopathies: Clinical associations and laboratory evaluation by mono- and multispecific immunoassays. Autoimmun Rev 2019; 18:293-305. [DOI: 10.1016/j.autrev.2018.10.004] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2018] [Accepted: 10/23/2018] [Indexed: 12/13/2022]
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14
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15
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Affiliation(s)
- Rohit Aggarwal
- Arthritis and Autoimmunity Center, Associate Professor of Medicine, Co-director, UPMC Myositis Center, Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine;
| | - Chester V Oddis
- Division of Rheumatology and Clinical Immunology, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
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