Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support
- Autores
- Valdez, Silvina Noemi; Poskus, Edgardo
- Año de publicación
- 2010
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- More than three decades ago, screening for autoantibodies associated with immune mediated type 1A diabetes was limited to measuring antibodies to cytoplasmic antigens of islet cells (ICAs). After a period of identification and sequencing of the major autoantigens involved (insulin, glutamic acid decarboxylase and tyrosine phosphatase IA-2) the recombinant technology allowed the quasi-quantitative assessment of the respective specific autoantibodies (IAA, GADA and IA-2A). In addition, the beta-cell-specific zinc transporter isoform 8 (ZnT8) has recently emerged as another major autoantigenic target of type 1 diabetes. The first useful assay for measuring islet autoantibodies was an indirect immunofluorescence assay with frozen sections of human pancreas as substrate. Other methods for the determination of islet autoantibodies (markers) are the radioligand binding assay (RBA) and ELISA. The current fluid phase RBA utilizes low levels of tracers, usually labeled with 125I, 35S-methionine or 35S-cysteine. After a series of international workshops and proficiency programs starting in 1985, the first Diabetes Antibody Standardization Program (DASP) was run in 2000. The predictive value of markers assays was shown in several series of prospectively followed first-degree relatives of type 1 diabetes patients. On the other hand, islet autoimmunity is frequent in adult patients considered to have type 2 diabetes (Latent Autoimmune Diabetes of Adults, LADA). The presence of autoantibodies in such patients may forecast the need of insulin administration, thus sparing these patients from months of inadequate metabolic control. Signals above a cutoff value were usually employed as the criterion for marker positivity, whereas in other studies determination of titer, epitope specificity, and IgG subclass were included to improve diabetes prediction. Recently it was suggested that combining affinity and titer of specific antibodies significantly improves the sensitivity, specificity, and concordance of markers measurement between laboratories. These new contributions on stratification of type 1 diabetes risk on the basis of markers characteristics will be invaluable in the design, implementation and interpretation of multicenter intervention trials. Moreover, marker testing is likely to be increasingly used in clinical practice, and may need to be performed in nonspecialized laboratories.
Fil: Valdez, Silvina Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; Argentina
Fil: Poskus, Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; Argentina - Materia
-
Diabetes Mellitus
Autoantibodies
Methods - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/67592
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Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic SupportValdez, Silvina NoemiPoskus, EdgardoDiabetes MellitusAutoantibodiesMethodshttps://purl.org/becyt/ford/3.3https://purl.org/becyt/ford/3More than three decades ago, screening for autoantibodies associated with immune mediated type 1A diabetes was limited to measuring antibodies to cytoplasmic antigens of islet cells (ICAs). After a period of identification and sequencing of the major autoantigens involved (insulin, glutamic acid decarboxylase and tyrosine phosphatase IA-2) the recombinant technology allowed the quasi-quantitative assessment of the respective specific autoantibodies (IAA, GADA and IA-2A). In addition, the beta-cell-specific zinc transporter isoform 8 (ZnT8) has recently emerged as another major autoantigenic target of type 1 diabetes. The first useful assay for measuring islet autoantibodies was an indirect immunofluorescence assay with frozen sections of human pancreas as substrate. Other methods for the determination of islet autoantibodies (markers) are the radioligand binding assay (RBA) and ELISA. The current fluid phase RBA utilizes low levels of tracers, usually labeled with 125I, 35S-methionine or 35S-cysteine. After a series of international workshops and proficiency programs starting in 1985, the first Diabetes Antibody Standardization Program (DASP) was run in 2000. The predictive value of markers assays was shown in several series of prospectively followed first-degree relatives of type 1 diabetes patients. On the other hand, islet autoimmunity is frequent in adult patients considered to have type 2 diabetes (Latent Autoimmune Diabetes of Adults, LADA). The presence of autoantibodies in such patients may forecast the need of insulin administration, thus sparing these patients from months of inadequate metabolic control. Signals above a cutoff value were usually employed as the criterion for marker positivity, whereas in other studies determination of titer, epitope specificity, and IgG subclass were included to improve diabetes prediction. Recently it was suggested that combining affinity and titer of specific antibodies significantly improves the sensitivity, specificity, and concordance of markers measurement between laboratories. These new contributions on stratification of type 1 diabetes risk on the basis of markers characteristics will be invaluable in the design, implementation and interpretation of multicenter intervention trials. Moreover, marker testing is likely to be increasingly used in clinical practice, and may need to be performed in nonspecialized laboratories.Fil: Valdez, Silvina Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; ArgentinaFil: Poskus, Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; ArgentinaBentham Science Publishers2010-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/67592Valdez, Silvina Noemi; Poskus, Edgardo; Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support; Bentham Science Publishers; Current Immunology Reviews; 6; 4; 11-2010; 299-3131573-3955CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.2174/1573395511006040299info:eu-repo/semantics/altIdentifier/url/http://www.eurekaselect.com/86954/articleinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:42Zoai:ri.conicet.gov.ar:11336/67592instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:57:42.842CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
title |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
spellingShingle |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support Valdez, Silvina Noemi Diabetes Mellitus Autoantibodies Methods |
title_short |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
title_full |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
title_fullStr |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
title_full_unstemmed |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
title_sort |
Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support |
dc.creator.none.fl_str_mv |
Valdez, Silvina Noemi Poskus, Edgardo |
author |
Valdez, Silvina Noemi |
author_facet |
Valdez, Silvina Noemi Poskus, Edgardo |
author_role |
author |
author2 |
Poskus, Edgardo |
author2_role |
author |
dc.subject.none.fl_str_mv |
Diabetes Mellitus Autoantibodies Methods |
topic |
Diabetes Mellitus Autoantibodies Methods |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/3.3 https://purl.org/becyt/ford/3 |
dc.description.none.fl_txt_mv |
More than three decades ago, screening for autoantibodies associated with immune mediated type 1A diabetes was limited to measuring antibodies to cytoplasmic antigens of islet cells (ICAs). After a period of identification and sequencing of the major autoantigens involved (insulin, glutamic acid decarboxylase and tyrosine phosphatase IA-2) the recombinant technology allowed the quasi-quantitative assessment of the respective specific autoantibodies (IAA, GADA and IA-2A). In addition, the beta-cell-specific zinc transporter isoform 8 (ZnT8) has recently emerged as another major autoantigenic target of type 1 diabetes. The first useful assay for measuring islet autoantibodies was an indirect immunofluorescence assay with frozen sections of human pancreas as substrate. Other methods for the determination of islet autoantibodies (markers) are the radioligand binding assay (RBA) and ELISA. The current fluid phase RBA utilizes low levels of tracers, usually labeled with 125I, 35S-methionine or 35S-cysteine. After a series of international workshops and proficiency programs starting in 1985, the first Diabetes Antibody Standardization Program (DASP) was run in 2000. The predictive value of markers assays was shown in several series of prospectively followed first-degree relatives of type 1 diabetes patients. On the other hand, islet autoimmunity is frequent in adult patients considered to have type 2 diabetes (Latent Autoimmune Diabetes of Adults, LADA). The presence of autoantibodies in such patients may forecast the need of insulin administration, thus sparing these patients from months of inadequate metabolic control. Signals above a cutoff value were usually employed as the criterion for marker positivity, whereas in other studies determination of titer, epitope specificity, and IgG subclass were included to improve diabetes prediction. Recently it was suggested that combining affinity and titer of specific antibodies significantly improves the sensitivity, specificity, and concordance of markers measurement between laboratories. These new contributions on stratification of type 1 diabetes risk on the basis of markers characteristics will be invaluable in the design, implementation and interpretation of multicenter intervention trials. Moreover, marker testing is likely to be increasingly used in clinical practice, and may need to be performed in nonspecialized laboratories. Fil: Valdez, Silvina Noemi. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; Argentina Fil: Poskus, Edgardo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni. Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Estudios de la Inmunidad Humoral Prof. Ricardo A. Margni; Argentina |
description |
More than three decades ago, screening for autoantibodies associated with immune mediated type 1A diabetes was limited to measuring antibodies to cytoplasmic antigens of islet cells (ICAs). After a period of identification and sequencing of the major autoantigens involved (insulin, glutamic acid decarboxylase and tyrosine phosphatase IA-2) the recombinant technology allowed the quasi-quantitative assessment of the respective specific autoantibodies (IAA, GADA and IA-2A). In addition, the beta-cell-specific zinc transporter isoform 8 (ZnT8) has recently emerged as another major autoantigenic target of type 1 diabetes. The first useful assay for measuring islet autoantibodies was an indirect immunofluorescence assay with frozen sections of human pancreas as substrate. Other methods for the determination of islet autoantibodies (markers) are the radioligand binding assay (RBA) and ELISA. The current fluid phase RBA utilizes low levels of tracers, usually labeled with 125I, 35S-methionine or 35S-cysteine. After a series of international workshops and proficiency programs starting in 1985, the first Diabetes Antibody Standardization Program (DASP) was run in 2000. The predictive value of markers assays was shown in several series of prospectively followed first-degree relatives of type 1 diabetes patients. On the other hand, islet autoimmunity is frequent in adult patients considered to have type 2 diabetes (Latent Autoimmune Diabetes of Adults, LADA). The presence of autoantibodies in such patients may forecast the need of insulin administration, thus sparing these patients from months of inadequate metabolic control. Signals above a cutoff value were usually employed as the criterion for marker positivity, whereas in other studies determination of titer, epitope specificity, and IgG subclass were included to improve diabetes prediction. Recently it was suggested that combining affinity and titer of specific antibodies significantly improves the sensitivity, specificity, and concordance of markers measurement between laboratories. These new contributions on stratification of type 1 diabetes risk on the basis of markers characteristics will be invaluable in the design, implementation and interpretation of multicenter intervention trials. Moreover, marker testing is likely to be increasingly used in clinical practice, and may need to be performed in nonspecialized laboratories. |
publishDate |
2010 |
dc.date.none.fl_str_mv |
2010-11 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/67592 Valdez, Silvina Noemi; Poskus, Edgardo; Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support; Bentham Science Publishers; Current Immunology Reviews; 6; 4; 11-2010; 299-313 1573-3955 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/67592 |
identifier_str_mv |
Valdez, Silvina Noemi; Poskus, Edgardo; Autoimmune Diabetes Mellitus: The Importance of Autoantibodies for Disease Prediction and Diagnostic Support; Bentham Science Publishers; Current Immunology Reviews; 6; 4; 11-2010; 299-313 1573-3955 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/doi/10.2174/1573395511006040299 info:eu-repo/semantics/altIdentifier/url/http://www.eurekaselect.com/86954/article |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Bentham Science Publishers |
publisher.none.fl_str_mv |
Bentham Science Publishers |
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reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
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dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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