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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/67592

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network_name_str CONICET Digital (CONICET)
spelling 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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instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
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instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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