Multiparametric autoantibody analysis: a new paradigm for the diagnosis of connective tissue diseases.

Autor: Bizzaro N; Laboratory of Clinical Pathology, San Antonio Hospital, Tolmezzo, Italy. nic.bizzaro@gmail.com.; Azienda Sanitaria Universitaria Integrata di Udine, Udine, Italy. nic.bizzaro@gmail.com., Villalta D; Immunology and Allergology, S. Maria degli Angeli Hospital, Pordenone, Italy., Bini V; Internal Medicine, Endocrine and Metabolic Science Section, University of Perugia, Perugia, Italy., Migliorini P; Clinical Immunology, University of Pisa, Pisa, Italy., Franceschini F; Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Brescia, Italy., Piantoni S; Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, ASST Spedali Civili and University of Brescia, Brescia, Italy., Garrafa E; Laboratory of Clinical Chemistry, Department of Molecular and Translational Medicine, ASST Spedali Civili and University of Brescia, Brescia, Italy., Riccieri V; Rheumatology, 'Sapienza' University, Rome, Italy., Fioravanti A; Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Policlinico Le Scotte, Siena, Italy., Bellisai F; Rheumatology Unit, Department of Medicine, Surgery and Neuroscience, Azienda Ospedaliera Universitaria Senese, Policlinico Le Scotte, Siena, Italy., Tampoia M; Clinical Pathology, Presidio Ospedaliero SS. Annunziata, Taranto, Italy., Fornaro M; Rheumatology Unit, Department of Emergence and Transplantation (DETO), University of Bari, Bari, Italy., Iannone F; Rheumatology Unit, Department of Emergence and Transplantation (DETO), University of Bari, Bari, Italy., Ghirardello A; Rheumatology Unit, Department of Medicine, University of Padua, Padua, Italy., Zen M; Rheumatology Unit, Department of Medicine, University of Padua, Padua, Italy., Palterer B; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy., Parronchi P; Department of Experimental and Clinical Medicine, University of Florence, Florence, Italy., Infantino M; Laboratory of Immunology and Allergology, San Giovanni di Dio Hospital, Florence, Italy., Benucci M; Rheumatology Unit, San Giovanni di Dio Hospital, Florence, Italy., Rigon A; Clinical Immunology and Rheumatology, University Campus Biomedico, Rome, Italy., Arcarese L; Clinical Immunology and Rheumatology, University Campus Biomedico, Rome, Italy., Del Rosso S; IRCCS San Raffaele, Milan, Italy., Canti V; IRCCS San Raffaele, Milan, Italy., Bartoloni E; Rheumatology Unit, Department of Medicine and Surgery, University of Perugia, Perugia, Italy., Gerli R; Rheumatology Unit, Department of Medicine and Surgery, University of Perugia, Perugia, Italy.
Jazyk: angličtina
Zdroj: Arthritis research & therapy [Arthritis Res Ther] 2022 Dec 23; Vol. 24 (1), pp. 278. Date of Electronic Publication: 2022 Dec 23.
DOI: 10.1186/s13075-022-02980-x
Abstrakt: Background: In patients affected by connective tissue diseases (CTDs), the identification of wide autoantibody profiles may prove useful in early diagnosis, in the evaluation of prognosis (risk stratification), and in predicting response to therapy. The aim of the present study was to evaluate the utility of multiparametric autoantibody analysis performed by a new fully automated particle-based multi-analyte technology (PMAT) digital system in a large multicenter cohort of CTD patients and controls.
Methods: Serum samples from 787 patients with CTD (166 systemic lupus erythematosus; 133 systemic sclerosis; 279 Sjögren's syndrome; 106 idiopathic inflammatory myopathies; 103 undifferentiated CTD), 339 patients with other disorders (disease controls) (118 infectious diseases, 110 organ-specific autoimmune diseases, 111 other rheumatic diseases), and 121 healthy subjects were collected in 13 rheumatologic centers of the FIRMA group. Sera were analyzed with the Aptiva-PMAT instrument (Inova Diagnostics) for a panel of 29 autoantibodies.
Results: Multiparametric logistic regression showed that enlarged antibody profiles have a higher diagnostic efficiency than that of individual antibodies or of antibodies that constitute classification criteria for a given disease and that probability of disease increases with multiple positive autoantibodies.
Conclusions: This is the first study that analyzes the clinical and diagnostic impact of autoantibody profiling in CTD. The results obtained with the new Aptiva-PMAT method may open interesting perspectives in the diagnosis and sub-classification of patients with autoimmune rheumatic diseases.
(© 2022. The Author(s).)
Databáze: MEDLINE
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