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...
- 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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EDOCUR2 |
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Repositorio EdocUR - U. Rosario |
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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 |
_version_ |
1814167496463220736 |