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Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
dc.creator | Molano González, Nicolás | |
dc.creator | Rojas Quintana, Manuel Eduardo | spa |
dc.creator | Monsalve Carmona, Diana Marcela | spa |
dc.creator | Pacheco Nieva, Yovana | |
dc.creator | Acosta Ampudia, Yeny Yasbleidy | spa |
dc.creator | Rodríguez Velandia, Yhojan Alexis | spa |
dc.creator | Rodríguez Jiménez, Mónica María del Pilar | |
dc.creator | Ramírez Santana, Heily Carolina | spa |
dc.creator | Anaya, Juan-Manuel | spa |
dc.date.accessioned | 2020-05-25T23:55:55Z | |
dc.date.available | 2020-05-25T23:55:55Z | |
dc.date.created | 2019 | spa |
dc.description.abstract | Autoimmune diseases (ADs) are a chronic and clinically heterogeneous group of diseases characterized by share common immunopathogenic mechanisms and risk factors (i.e., the autoimmune tautology), which explain the fact that one AD may coexist with others (i.e., polyautoimmunity - PolyA). In the present exploratory study, a mixed-cluster analysis of the most common autoimmune rheumatic diseases (ARDs) was done. A total of 187 consecutive women with established systemic lupus erythematosus (n = 70), rheumatoid arthritis (n = 51), systemic sclerosis (n = 35) and Sjögren's syndrome (n = 31) were included. A comprehensive clinical, autoantibody and cytokine assessment was simultaneously done. Total PolyA was registered in 142 (75.9%) patients. Six clusters were obtained, built mainly on autoantibodies: PolyA-I to -VI. The PolyA-III cluster showed the highest frequency of overt PolyA (p = 0.01), and the PolyA-I, -III, and -IV clusters exhibited the highest positivity for IL-12/23p40 (p = 0.015). These results provide new insights into the pathophysiology of PolyA and warrant prospective validation to enable development of a more accurate taxonomy of ARDs. © 2018 The Authors | eng |
dc.format.mimetype | application/pdf | |
dc.identifier.doi | https://doi.org/10.1016/j.jaut.2018.11.002 | |
dc.identifier.issn | 10959157 | |
dc.identifier.issn | 08968411 | |
dc.identifier.uri | https://repository.urosario.edu.co/handle/10336/22263 | |
dc.language.iso | eng | spa |
dc.publisher | Academic Press | spa |
dc.relation.citationEndPage | 32 | |
dc.relation.citationStartPage | 24 | |
dc.relation.citationTitle | Journal of Autoimmunity | |
dc.relation.citationVolume | Vol. 98 | |
dc.relation.ispartof | Journal of Autoimmunity, ISSN:10959157, 08968411, Vol.98,(2019); pp. 24-32 | spa |
dc.relation.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056602650&doi=10.1016%2fj.jaut.2018.11.002&partnerID=40&md5=57791f14737e0d657b9a97fe62973ed0 | spa |
dc.rights.accesRights | info:eu-repo/semantics/openAccess | |
dc.rights.acceso | Abierto (Texto Completo) | spa |
dc.source.instname | instname:Universidad del Rosario | spa |
dc.source.reponame | reponame:Repositorio Institucional EdocUR | spa |
dc.subject.keyword | Alpha interferon | spa |
dc.subject.keyword | Autoantibody | spa |
dc.subject.keyword | Gamma interferon | spa |
dc.subject.keyword | Granulocyte colony stimulating factor | spa |
dc.subject.keyword | Immunoglobulin g | spa |
dc.subject.keyword | Immunoglobulin m | spa |
dc.subject.keyword | Interleukin 10 | spa |
dc.subject.keyword | Interleukin 12 | spa |
dc.subject.keyword | Interleukin 13 | spa |
dc.subject.keyword | Interleukin 17 | spa |
dc.subject.keyword | Interleukin 1beta | spa |
dc.subject.keyword | Interleukin 2 | spa |
dc.subject.keyword | Interleukin 4 | spa |
dc.subject.keyword | Interleukin 5 | spa |
dc.subject.keyword | Interleukin 6 | spa |
dc.subject.keyword | Interleukin 8 | spa |
dc.subject.keyword | Interleukin 9 | spa |
dc.subject.keyword | Tumor necrosis factor | spa |
dc.subject.keyword | Adult | spa |
dc.subject.keyword | Antiphospholipid syndrome | spa |
dc.subject.keyword | Article | spa |
dc.subject.keyword | Autoimmune disease | spa |
dc.subject.keyword | Autoimmune hepatitis | spa |
dc.subject.keyword | Cluster analysis | spa |
dc.subject.keyword | Controlled study | spa |
dc.subject.keyword | Disease duration | spa |
dc.subject.keyword | Female | spa |
dc.subject.keyword | Human | spa |
dc.subject.keyword | Major clinical study | spa |
dc.subject.keyword | Myasthenia gravis | spa |
dc.subject.keyword | Onset age | spa |
dc.subject.keyword | Pathophysiology | spa |
dc.subject.keyword | Priority journal | spa |
dc.subject.keyword | Prospective study | spa |
dc.subject.keyword | Rheumatic disease | spa |
dc.subject.keyword | Rheumatoid arthritis | spa |
dc.subject.keyword | Risk factor | spa |
dc.subject.keyword | Sjoegren syndrome | spa |
dc.subject.keyword | Systemic lupus erythematosus | spa |
dc.subject.keyword | Systemic sclerosis | spa |
dc.subject.keyword | Interleukin-12/23p40 | spa |
dc.subject.keyword | Rheumatoid arthritis | spa |
dc.subject.keyword | Sjögren's syndrome | spa |
dc.subject.keyword | Systemic lupus erythematosus | spa |
dc.subject.keyword | Systemic sclerosis | spa |
dc.subject.keyword | Taxonomy | spa |
dc.title | Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity | spa |
dc.type | article | eng |
dc.type.hasVersion | info:eu-repo/semantics/publishedVersion | |
dc.type.spa | Artículo | spa |
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