<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-13T01:14:44Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:11351/7616" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:11351/7616</identifier><datestamp>2025-10-24T10:37:03Z</datestamp><setSpec>com_2072_378070</setSpec><setSpec>com_2072_378040</setSpec><setSpec>col_2072_378092</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Profiling of Myositis Specific Antibodies and Composite Scores as an Aid in the Differential Diagnosis of Autoimmune Myopathies</dc:title>
   <dc:creator>Mahler, Michael</dc:creator>
   <dc:creator>Malyavantham, Kishore</dc:creator>
   <dc:creator>Seaman, Andrea</dc:creator>
   <dc:creator>Bentow, Chelsea</dc:creator>
   <dc:creator>Anunciacion Llunell, Ariadna</dc:creator>
   <dc:creator>Sanz Martinez, Maria Teresa</dc:creator>
   <dc:creator>Viñas Gimenez, Laura</dc:creator>
   <dc:creator>Selva O'Callaghan, Albert</dc:creator>
   <dc:contributor>Institut Català de la Salut</dc:contributor>
   <dc:contributor>[Mahler M, Malyavantham K, Seaman A, Bentow C] Research and Development, Inova Diagnostics, San Diego, CA, USA. [Anunciacion-Llunell A, Selva-O'Callaghan A] Unitat de Malalties Sistèmiques Autoimmunes, Servei de Medicina Interna, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. [Sanz-Martínez MT, Viñas-Gimenez L] Servei d’Immunologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain</dc:contributor>
   <dc:contributor>Vall d'Hebron Barcelona Hospital Campus</dc:contributor>
   <dc:subject>Músculs - Inflamació</dc:subject>
   <dc:subject>Autoanticossos</dc:subject>
   <dc:subject>Malalties autoimmunitàries</dc:subject>
   <dc:subject>DISEASES::Musculoskeletal Diseases::Muscular Diseases::Myositis</dc:subject>
   <dc:subject>Other subheadings::Other subheadings::/diagnosis</dc:subject>
   <dc:subject>ANALYTICAL, DIAGNOSTIC AND THERAPEUTIC TECHNIQUES, AND EQUIPMENT::Investigative Techniques::Immunologic Techniques::Immunoassay</dc:subject>
   <dc:subject>DISEASES::Immune System Diseases::Autoimmune Diseases</dc:subject>
   <dc:subject>ENFERMEDADES::enfermedades musculoesqueléticas::enfermedades musculares::miositis</dc:subject>
   <dc:subject>Otros calificadores::Otros calificadores::/diagnóstico</dc:subject>
   <dc:subject>TÉCNICAS Y EQUIPOS ANALÍTICOS, DIAGNÓSTICOS Y TERAPÉUTICOS::técnicas de investigación::técnicas inmunológicas::inmunoanálisis</dc:subject>
   <dc:subject>ENFERMEDADES::enfermedades del sistema inmune::enfermedades autoinmunes</dc:subject>
   <dc:description>Autoantibodies; Dermatomyositis; Diagnosis</dc:description>
   <dc:description>Autoanticuerpos; Dermatomiositis; Diagnóstico</dc:description>
   <dc:description>Autoanticossos; Dermatomiositis; Diagnòstic</dc:description>
   <dc:description>(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.</dc:description>
   <dc:date>2022-06-02T08:38:48Z</dc:date>
   <dc:date>2022-06-02T08:38:48Z</dc:date>
   <dc:date>2021-11-30</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
   <dc:identifier>Mahler M, Malyavantham K, Seaman A, Bentow C, Anunciacion-Llunell A, Sanz-Martínez MT, et al. Profiling of Myositis Specific Antibodies and Composite Scores as an Aid in the Differential Diagnosis of Autoimmune Myopathies. Diagnostics. 2021 Nov 30;11(12):2246.</dc:identifier>
   <dc:identifier>2075-4418</dc:identifier>
   <dc:identifier>https://hdl.handle.net/11351/7616</dc:identifier>
   <dc:identifier>10.3390/diagnostics11122246</dc:identifier>
   <dc:identifier>34943483</dc:identifier>
   <dc:identifier>000736636500001</dc:identifier>
   <dc:identifier>http://hdl.handle.net/11351/7616</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>Diagnostics;11(12)</dc:relation>
   <dc:relation>https://doi.org/10.3390/diagnostics11122246</dc:relation>
   <dc:rights>Attribution 4.0 International</dc:rights>
   <dc:rights>http://creativecommons.org/licenses/by/4.0/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>MDPI</dc:publisher>
   <dc:source>Scientia</dc:source>
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