Are autoimmune diseases predictable?

Autoimmune diseases are complex diseases resulting of the interaction between both genetics and environmental factors over time. Different phases in the development of autoimmune diseases are characterized by the detection of serum autoantibodies several months or years before the onset of clinical...

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Autores:
Tipo de recurso:
Fecha de publicación:
2012
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23133
Acceso en línea:
https://doi.org/10.1016/j.autrev.2011.10.004
https://repository.urosario.edu.co/handle/10336/23133
Palabra clave:
Antinuclear antibody
Autoantibody
Glutamate decarboxylase
Immunosuppressive agent
Phospholipid antibody
Acquired immune deficiency syndrome
Allele
Antibody detection
Autoimmune disease
Clinical trial
Genetic susceptibility
Genetics
Human
Insulin dependent diabetes mellitus
Review
Rheumatoid arthritis
Systemic lupus erythematosus
Animals
Autoantibodies
Autoimmune diseases
Gene-environment interaction
Genetic predisposition to disease
Genetic testing
Humans
Prognosis
Serology
Auto-antibodies
Autoimmune diseases
Genetic susceptibility
Positive predictive value
Prediction
animal
Disease models
Rights
License
Abierto (Texto Completo)
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oai_identifier_str oai:repository.urosario.edu.co:10336/23133
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 261beea8-903d-47ec-b5c6-53b77cdbd6e87a1f4d2e-b662-46e4-b364-df99d47dcd192e153dda-dae9-49fa-b6b1-167de30398f752249701e824dfae-ba3d-4702-8fbe-36f935241ad0194747786002020-05-25T23:59:56Z2020-05-25T23:59:56Z2012Autoimmune diseases are complex diseases resulting of the interaction between both genetics and environmental factors over time. Different phases in the development of autoimmune diseases are characterized by the detection of serum autoantibodies several months or years before the onset of clinical manifestations and subsequent diagnosis. In addition to serum antibodies, genetic susceptibility factors may predict the future development of the disease. Currently, prediction in type 1 diabetes is the most accurate, with the analysis of genetic susceptibility factors in first-degree relatives of patients and several autoantibody tests. In the future, multiple antibodies test, in combination with the analysis of genetics, epigenetics and immunological anomalies in fine models may allow the precise prediction in autoimmune diseases. Prevention measures might thus be introduced as an attempt to avoid or delay the disease. © 2011 Elsevier B.V.application/pdfhttps://doi.org/10.1016/j.autrev.2011.10.00415689972https://repository.urosario.edu.co/handle/10336/23133eng266No. 4259Autoimmunity ReviewsVol. 11Autoimmunity Reviews, ISSN:15689972, Vol.11, No.4 (2012); pp. 259-266https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857055126&doi=10.1016%2fj.autrev.2011.10.004&partnerID=40&md5=7b7b793910f5797e7ae59e2376218682Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAntinuclear antibodyAutoantibodyGlutamate decarboxylaseImmunosuppressive agentPhospholipid antibodyAcquired immune deficiency syndromeAlleleAntibody detectionAutoimmune diseaseClinical trialGenetic susceptibilityGeneticsHumanInsulin dependent diabetes mellitusReviewRheumatoid arthritisSystemic lupus erythematosusAnimalsAutoantibodiesAutoimmune diseasesGene-environment interactionGenetic predisposition to diseaseGenetic testingHumansPrognosisSerologyAuto-antibodiesAutoimmune diseasesGenetic susceptibilityPositive predictive valuePredictionanimalDisease modelsAre autoimmune diseases predictable?articleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Tobón, Gabriel J.Pers, Jacques-OlivierCañas, Carlos A.Rojas-Villarraga, AdrianaYouinou, PierreAnaya, Juan-Manuel10336/23133oai:repository.urosario.edu.co:10336/231332022-05-02 07:37:13.517799https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Are autoimmune diseases predictable?
title Are autoimmune diseases predictable?
spellingShingle Are autoimmune diseases predictable?
Antinuclear antibody
Autoantibody
Glutamate decarboxylase
Immunosuppressive agent
Phospholipid antibody
Acquired immune deficiency syndrome
Allele
Antibody detection
Autoimmune disease
Clinical trial
Genetic susceptibility
Genetics
Human
Insulin dependent diabetes mellitus
Review
Rheumatoid arthritis
Systemic lupus erythematosus
Animals
Autoantibodies
Autoimmune diseases
Gene-environment interaction
Genetic predisposition to disease
Genetic testing
Humans
Prognosis
Serology
Auto-antibodies
Autoimmune diseases
Genetic susceptibility
Positive predictive value
Prediction
animal
Disease models
title_short Are autoimmune diseases predictable?
title_full Are autoimmune diseases predictable?
title_fullStr Are autoimmune diseases predictable?
title_full_unstemmed Are autoimmune diseases predictable?
title_sort Are autoimmune diseases predictable?
dc.subject.keyword.spa.fl_str_mv Antinuclear antibody
Autoantibody
Glutamate decarboxylase
Immunosuppressive agent
Phospholipid antibody
Acquired immune deficiency syndrome
Allele
Antibody detection
Autoimmune disease
Clinical trial
Genetic susceptibility
Genetics
Human
Insulin dependent diabetes mellitus
Review
Rheumatoid arthritis
Systemic lupus erythematosus
Animals
Autoantibodies
Autoimmune diseases
Gene-environment interaction
Genetic predisposition to disease
Genetic testing
Humans
Prognosis
Serology
Auto-antibodies
Autoimmune diseases
Genetic susceptibility
Positive predictive value
Prediction
topic Antinuclear antibody
Autoantibody
Glutamate decarboxylase
Immunosuppressive agent
Phospholipid antibody
Acquired immune deficiency syndrome
Allele
Antibody detection
Autoimmune disease
Clinical trial
Genetic susceptibility
Genetics
Human
Insulin dependent diabetes mellitus
Review
Rheumatoid arthritis
Systemic lupus erythematosus
Animals
Autoantibodies
Autoimmune diseases
Gene-environment interaction
Genetic predisposition to disease
Genetic testing
Humans
Prognosis
Serology
Auto-antibodies
Autoimmune diseases
Genetic susceptibility
Positive predictive value
Prediction
animal
Disease models
dc.subject.keyword.eng.fl_str_mv animal
Disease models
description Autoimmune diseases are complex diseases resulting of the interaction between both genetics and environmental factors over time. Different phases in the development of autoimmune diseases are characterized by the detection of serum autoantibodies several months or years before the onset of clinical manifestations and subsequent diagnosis. In addition to serum antibodies, genetic susceptibility factors may predict the future development of the disease. Currently, prediction in type 1 diabetes is the most accurate, with the analysis of genetic susceptibility factors in first-degree relatives of patients and several autoantibody tests. In the future, multiple antibodies test, in combination with the analysis of genetics, epigenetics and immunological anomalies in fine models may allow the precise prediction in autoimmune diseases. Prevention measures might thus be introduced as an attempt to avoid or delay the disease. © 2011 Elsevier B.V.
publishDate 2012
dc.date.created.spa.fl_str_mv 2012
dc.date.accessioned.none.fl_str_mv 2020-05-25T23:59:56Z
dc.date.available.none.fl_str_mv 2020-05-25T23:59:56Z
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.autrev.2011.10.004
dc.identifier.issn.none.fl_str_mv 15689972
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23133
url https://doi.org/10.1016/j.autrev.2011.10.004
https://repository.urosario.edu.co/handle/10336/23133
identifier_str_mv 15689972
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 266
dc.relation.citationIssue.none.fl_str_mv No. 4
dc.relation.citationStartPage.none.fl_str_mv 259
dc.relation.citationTitle.none.fl_str_mv Autoimmunity Reviews
dc.relation.citationVolume.none.fl_str_mv Vol. 11
dc.relation.ispartof.spa.fl_str_mv Autoimmunity Reviews, ISSN:15689972, Vol.11, No.4 (2012); pp. 259-266
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84857055126&doi=10.1016%2fj.autrev.2011.10.004&partnerID=40&md5=7b7b793910f5797e7ae59e2376218682
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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