Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity

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 pres...

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Autores:
Tipo de recurso:
Fecha de publicación:
2019
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/22263
Acceso en línea:
https://doi.org/10.1016/j.jaut.2018.11.002
https://repository.urosario.edu.co/handle/10336/22263
Palabra clave:
Alpha interferon
Autoantibody
Gamma interferon
Granulocyte colony stimulating factor
Immunoglobulin g
Immunoglobulin m
Interleukin 10
Interleukin 12
Interleukin 13
Interleukin 17
Interleukin 1beta
Interleukin 2
Interleukin 4
Interleukin 5
Interleukin 6
Interleukin 8
Interleukin 9
Tumor necrosis factor
Adult
Antiphospholipid syndrome
Article
Autoimmune disease
Autoimmune hepatitis
Cluster analysis
Controlled study
Disease duration
Female
Human
Major clinical study
Myasthenia gravis
Onset age
Pathophysiology
Priority journal
Prospective study
Rheumatic disease
Rheumatoid arthritis
Risk factor
Sjoegren syndrome
Systemic lupus erythematosus
Systemic sclerosis
Interleukin-12/23p40
Rheumatoid arthritis
Sjögren's syndrome
Systemic lupus erythematosus
Systemic sclerosis
Taxonomy
Rights
License
Abierto (Texto Completo)
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spelling 80873475600351984836005179949960011105414856005316728860038361933600102296173560052483526600194747786002020-05-25T23:55:55Z2020-05-25T23:55:55Z2019Autoimmune 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 Authorsapplication/pdfhttps://doi.org/10.1016/j.jaut.2018.11.0021095915708968411https://repository.urosario.edu.co/handle/10336/22263engAcademic Press3224Journal of AutoimmunityVol. 98Journal of Autoimmunity, ISSN:10959157, 08968411, Vol.98,(2019); pp. 24-32https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056602650&doi=10.1016%2fj.jaut.2018.11.002&partnerID=40&md5=57791f14737e0d657b9a97fe62973ed0Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAlpha interferonAutoantibodyGamma interferonGranulocyte colony stimulating factorImmunoglobulin gImmunoglobulin mInterleukin 10Interleukin 12Interleukin 13Interleukin 17Interleukin 1betaInterleukin 2Interleukin 4Interleukin 5Interleukin 6Interleukin 8Interleukin 9Tumor necrosis factorAdultAntiphospholipid syndromeArticleAutoimmune diseaseAutoimmune hepatitisCluster analysisControlled studyDisease durationFemaleHumanMajor clinical studyMyasthenia gravisOnset agePathophysiologyPriority journalProspective studyRheumatic diseaseRheumatoid arthritisRisk factorSjoegren syndromeSystemic lupus erythematosusSystemic sclerosisInterleukin-12/23p40Rheumatoid arthritisSjögren's syndromeSystemic lupus erythematosusSystemic sclerosisTaxonomyCluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunityarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Molano González, NicolásPacheco Nieva, YovanaRodríguez Jiménez, Mónica María del PilarRojas Quintana, Manuel EduardoMonsalve Carmona, Diana MarcelaAcosta Ampudia, Yeny YasbleidyRodríguez Velandia, Yhojan AlexisRamírez Santana, Heily CarolinaAnaya, Juan-ManuelORIGINAL1-s2-0-S0896841118305328-main.pdfapplication/pdf781557https://repository.urosario.edu.co/bitstreams/a30328f9-fc58-43d5-beb1-1b56ada1b5d1/downloadaa966c8c2aec41a0400a0f0da832d3e2MD51TEXT1-s2-0-S0896841118305328-main.pdf.txt1-s2-0-S0896841118305328-main.pdf.txtExtracted texttext/plain58863https://repository.urosario.edu.co/bitstreams/d8647863-4b23-4cfc-a02d-5889c01ace88/download07ab8526f089d5320f4d4d4c2b764a76MD52THUMBNAIL1-s2-0-S0896841118305328-main.pdf.jpg1-s2-0-S0896841118305328-main.pdf.jpgGenerated Thumbnailimage/jpeg4649https://repository.urosario.edu.co/bitstreams/d03aa91b-64cd-438d-9ab8-76b3a50ccc27/download16f58e239f8d60be8e248791f4012d38MD5310336/22263oai:repository.urosario.edu.co:10336/222632022-05-02 07:37:16.633626https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
title Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
spellingShingle Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
Alpha interferon
Autoantibody
Gamma interferon
Granulocyte colony stimulating factor
Immunoglobulin g
Immunoglobulin m
Interleukin 10
Interleukin 12
Interleukin 13
Interleukin 17
Interleukin 1beta
Interleukin 2
Interleukin 4
Interleukin 5
Interleukin 6
Interleukin 8
Interleukin 9
Tumor necrosis factor
Adult
Antiphospholipid syndrome
Article
Autoimmune disease
Autoimmune hepatitis
Cluster analysis
Controlled study
Disease duration
Female
Human
Major clinical study
Myasthenia gravis
Onset age
Pathophysiology
Priority journal
Prospective study
Rheumatic disease
Rheumatoid arthritis
Risk factor
Sjoegren syndrome
Systemic lupus erythematosus
Systemic sclerosis
Interleukin-12/23p40
Rheumatoid arthritis
Sjögren's syndrome
Systemic lupus erythematosus
Systemic sclerosis
Taxonomy
title_short Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
title_full Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
title_fullStr Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
title_full_unstemmed Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
title_sort Cluster analysis of autoimmune rheumatic diseases based on autoantibodies. New insights for polyautoimmunity
dc.subject.keyword.spa.fl_str_mv Alpha interferon
Autoantibody
Gamma interferon
Granulocyte colony stimulating factor
Immunoglobulin g
Immunoglobulin m
Interleukin 10
Interleukin 12
Interleukin 13
Interleukin 17
Interleukin 1beta
Interleukin 2
Interleukin 4
Interleukin 5
Interleukin 6
Interleukin 8
Interleukin 9
Tumor necrosis factor
Adult
Antiphospholipid syndrome
Article
Autoimmune disease
Autoimmune hepatitis
Cluster analysis
Controlled study
Disease duration
Female
Human
Major clinical study
Myasthenia gravis
Onset age
Pathophysiology
Priority journal
Prospective study
Rheumatic disease
Rheumatoid arthritis
Risk factor
Sjoegren syndrome
Systemic lupus erythematosus
Systemic sclerosis
Interleukin-12/23p40
Rheumatoid arthritis
Sjögren's syndrome
Systemic lupus erythematosus
Systemic sclerosis
Taxonomy
topic Alpha interferon
Autoantibody
Gamma interferon
Granulocyte colony stimulating factor
Immunoglobulin g
Immunoglobulin m
Interleukin 10
Interleukin 12
Interleukin 13
Interleukin 17
Interleukin 1beta
Interleukin 2
Interleukin 4
Interleukin 5
Interleukin 6
Interleukin 8
Interleukin 9
Tumor necrosis factor
Adult
Antiphospholipid syndrome
Article
Autoimmune disease
Autoimmune hepatitis
Cluster analysis
Controlled study
Disease duration
Female
Human
Major clinical study
Myasthenia gravis
Onset age
Pathophysiology
Priority journal
Prospective study
Rheumatic disease
Rheumatoid arthritis
Risk factor
Sjoegren syndrome
Systemic lupus erythematosus
Systemic sclerosis
Interleukin-12/23p40
Rheumatoid arthritis
Sjögren's syndrome
Systemic lupus erythematosus
Systemic sclerosis
Taxonomy
description 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
publishDate 2019
dc.date.created.spa.fl_str_mv 2019
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:55:55Z
dc.date.available.none.fl_str_mv 2020-05-25T23:55:55Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.jaut.2018.11.002
dc.identifier.issn.none.fl_str_mv 10959157
08968411
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/22263
url https://doi.org/10.1016/j.jaut.2018.11.002
https://repository.urosario.edu.co/handle/10336/22263
identifier_str_mv 10959157
08968411
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 32
dc.relation.citationStartPage.none.fl_str_mv 24
dc.relation.citationTitle.none.fl_str_mv Journal of Autoimmunity
dc.relation.citationVolume.none.fl_str_mv Vol. 98
dc.relation.ispartof.spa.fl_str_mv Journal of Autoimmunity, ISSN:10959157, 08968411, Vol.98,(2019); pp. 24-32
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056602650&doi=10.1016%2fj.jaut.2018.11.002&partnerID=40&md5=57791f14737e0d657b9a97fe62973ed0
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dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Academic Press
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