Literature DB >> 9836516

Combined use of autoantibodies (IA-2 autoantibody, GAD autoantibody, insulin autoantibody, cytoplasmic islet cell antibodies) in type 1 diabetes: Combinatorial Islet Autoantibody Workshop.

C F Verge1, D Stenger, E Bonifacio, P G Colman, C Pilcher, P J Bingley, G S Eisenbarth.   

Abstract

The aim of this workshop was to assess the ability of individual autoantibody (ab) assays and their use in combination to discriminate between type 1 diabetic and control sera. Coded aliquots of sera were measured in a total of 119 assays by 49 participating laboratories in 17 countries. The sera were from 51 patients with new onset type 1 diabetes and 101 healthy control subjects with no family history of diabetes. In the final analysis, data on diabetic sera were restricted to 43 subjects younger than age 30 years. The laboratories were asked to report results for these sera using their currently available anti-islet autoantibody assays. In addition, they were asked to combine information from their assays to classify sera as having high, moderate, or low probability of originating from a patient with type 1 diabetes. Actual strategies for combining assays were determined by each laboratory. There were no significant differences in sensitivity among 19 radioimmunoassays (RIAs) for IA-2 autoantibodies (cytoplasmic islet cell antibody [ICA] 512) using different constructs that included the intracellular portion of the molecule (mean sensitivity 73%). However, an enzyme-linked immunosorbent assay (ELISA) using the extracellular portion of the IA-2 molecule did not discriminate between diabetic and control sera. Among GAD autoantibody assays that achieved sensitivity >70%, 26 were RIAs and one was an ELISA. When the sera were ranked according to their autoantibody levels, the concordance for insulin autoantibodies (IAAs) in different laboratories was markedly less than for IA-2ab and GADab. Using a combination of autoantibody assays, several laboratories achieved excellent discrimination between diabetic and control sera (sensitivity up to 80% with false-positive rate of 0%). A variety of strategies for combining information from different assays were successful (e.g., those including and excluding ICA), and no one strategy emerged as clearly superior. In conclusion, IA-2/ICA512 autoantibodies are a marker of type 1 diabetes and can be measured consistently by most assays. Several different strategies for combining assays achieved high sensitivity with a low false-positive rate.

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Year:  1998        PMID: 9836516     DOI: 10.2337/diabetes.47.12.1857

Source DB:  PubMed          Journal:  Diabetes        ISSN: 0012-1797            Impact factor:   9.461


  94 in total

1.  Selecting culprits in type 1 diabetes beta-cell killing.

Authors:  A Lernmark
Journal:  J Clin Invest       Date:  1999-12       Impact factor: 14.808

2.  Autoimmune type 1 diabetes: resolved and unresolved issues.

Authors:  A L Notkins; A Lernmark
Journal:  J Clin Invest       Date:  2001-11       Impact factor: 14.808

Review 3.  Autoimmune diseases: are markers ready for prediction?

Authors: 
Journal:  J Clin Invest       Date:  2001-10       Impact factor: 14.808

Review 4.  The Sardinian way to type 1 diabetes.

Authors:  Marco Songini; Cira Lombardo
Journal:  J Diabetes Sci Technol       Date:  2010-09-01

5.  Mapping of novel autoreactive epitopes of the diabetes-associated autoantigen IA-2.

Authors:  J Seissler; M Schott; N G Morgenthaler; W A Scherbaum
Journal:  Clin Exp Immunol       Date:  2000-11       Impact factor: 4.330

6.  GAD65 antibody isotypes and epitope recognition during the prediabetic process in siblings of children with type I diabetes.

Authors:  S Hoppu; M S Ronkainen; P Kulmala; H K Akerblom; M Knip
Journal:  Clin Exp Immunol       Date:  2004-04       Impact factor: 4.330

Review 7.  Current approaches to measuring human islet-antigen specific T cell function in type 1 diabetes.

Authors:  S I Mannering; F S Wong; I Durinovic-Belló; B Brooks-Worrell; T I Tree; C M Cilio; N C Schloot; R Mallone
Journal:  Clin Exp Immunol       Date:  2010-09-15       Impact factor: 4.330

Review 8.  Development of therapies for autoimmune disease at Stanford: a tale of multiple shots and one goal.

Authors:  Lawrence Steinman
Journal:  Immunol Res       Date:  2014-05       Impact factor: 2.829

9.  Insulin resistance is a risk factor for progression to type 1 diabetes.

Authors:  S Fourlanos; P Narendran; G B Byrnes; P G Colman; L C Harrison
Journal:  Diabetologia       Date:  2004-10-06       Impact factor: 10.122

Review 10.  Clinical optimization of antigen specific modulation of type 1 diabetes with the plasmid DNA platform.

Authors:  Peter Gottlieb; Paul J Utz; William Robinson; Lawrence Steinman
Journal:  Clin Immunol       Date:  2013-09-01       Impact factor: 3.969

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