New insights into the taxonomy of autoimmune diseases based on polyautoimmunity.

Autor: Rojas M; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Ramírez-Santana C; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Acosta-Ampudia Y; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Monsalve DM; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Rodriguez-Jimenez M; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Zapata E; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Naranjo-Pulido A; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Suárez-Avellaneda A; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia; Centro de Referencia en Osteoporosis, Reumatología & Dermatología, Cali, Colombia., Ríos-Serna LJ; Centro de Investigación en Reumatología, Autoinmunidad y Medicina Traslacional (CIRAT), Universidad ICESI, Cali, Colombia., Prieto C; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Zambrano-Romero W; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Valero MA; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Rodríguez Y; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia., Mantilla RD; Dermatology and Rheumatology Foundation (FUNINDERMA), Bogota, Colombia., Zhu C; Department of Immunology, Microarray & Immune Phenotyping Core Facility, University of Texas Southwestern Medical Center, Dallas, USA., Li QZ; Department of Immunology, Microarray & Immune Phenotyping Core Facility, University of Texas Southwestern Medical Center, Dallas, USA., Toro-Gutiérrez CE; Centro de Referencia en Osteoporosis, Reumatología & Dermatología, Cali, Colombia., Tobón GJ; Centro de Investigación en Reumatología, Autoinmunidad y Medicina Traslacional (CIRAT), Universidad ICESI, Cali, Colombia., Anaya JM; Center for Autoimmune Diseases Research (CREA), School of Medicine and Health Sciences, Universidad del Rosario, Bogota, Colombia; Clinica del Occidente, Bogota, Colombia. Electronic address: juan.anaya@urosario.edu.co.
Jazyk: angličtina
Zdroj: Journal of autoimmunity [J Autoimmun] 2022 Jan; Vol. 126, pp. 102780. Date of Electronic Publication: 2021 Dec 16.
DOI: 10.1016/j.jaut.2021.102780
Abstrakt: Objective: The clinical coexistence of two or more autoimmune diseases (ADs) fulfilling classification criteria is termed "overt polyautoimmunity" (PolyA), whereas the presence of autoantibodies unrelated to an index AD, without clinical criteria fulfillment, is known as "latent PolyA". We aimed to explore a new taxonomy of ADs based on PolyA.
Methods: In a cross-sectional study of 292 subjects, we evaluated the presence of PolyA in 146, 45, 29, 17, and 17 patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), Sjögren's syndrome (SS), autoimmune thyroid disease (AITD) and systemic sclerosis (SSc), respectively, and 38 healthy controls. Clinical assessment, autoantibody profile (by autoantigen array chip), lymphocytes immunophenotype and cytokine profile (by flow cytometry) were evaluated simultaneously. A mixed cluster methodology was used to classify ADs.
Results: Latent PolyA was more frequent than overt PolyA, ranging from 69.9% in RA to 100% in SSc. Nevertheless, both latent and overt PolyA clustered together. Over-expressed IgG autoantibodies were found to be hallmarks for the identification of index ADs. The combination of autoantibodies allowed high accuracy in the classification of ADs. Three well-defined clusters based on PolyA were observed with distinctive clinical and immunological phenotypes.
Conclusions: This proof-of-concept study indicates that ADs can be classified according to PolyA. PolyA should be considered in all studies dealing with ADs, including epidemiological, genetic, and clinical trials.
(Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved.)
Databáze: MEDLINE
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