Literature DB >> 3123555

Serum exchange and use of dilutions have improved precision of measurement of islet cell antibodies.

E Bonifacio1, A Lernmark, R L Dawkins.   

Abstract

In an attempt to improve the diagnostic value of measuring antibodies to islet cell cytoplasmic antigen, coded sera were distributed to 38 laboratories and results were returned for analysis. Comparison between laboratories revealed that results for some individual sera differed by up to nine doubling dilutions and even within laboratories duplicate samples could differ by six doubling dilutions. By including dilutions of sera it was possible to draw a standard curve for each laboratory and this revealed major variations in shape, slope and intercept. However, using each laboratory's standard curve and converting results to units, a substantial improvement was obtained. The approach described improves standardisation and will permit laboratories to identify poor precision and/or any systematic change in assay performance.

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Year:  1988        PMID： 3123555     DOI： 10.1016/0022-1759(88)90274-8

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN： 0022-1759            Impact factor:   2.303


  38 in total

1.  Fifth International Serum Exchange Workshop for Insulin Autoantibody (IAA) Standardization. The Immunology and Diabetes Workshops and participating laboratories.

Authors:  C J Greenbaum; T J Wilkin; J P Palmer
Journal:  Diabetologia       Date:  1992-08       Impact factor: 10.122

2.  Loss of regular oscillatory insulin secretion in islet cell antibody positive non-diabetic subjects.

Authors:  P J Bingley; D R Matthews; A J Williams; G F Bottazzo; E A Gale
Journal:  Diabetologia       Date:  1992-01       Impact factor: 10.122

3.  Assessment of precision, concordance, specificity, and sensitivity of islet cell antibody measurement in 41 assays.

Authors:  E Bonifacio; C Boitard; H Gleichmann; M A Shattock; J L Molenaar; G F Bottazzo
Journal:  Diabetologia       Date:  1990-12       Impact factor: 10.122

4.  The association between the PTPN22 1858C>T variant and type 1 diabetes depends on HLA risk and GAD65 autoantibodies.

Authors:  M Maziarz; M Janer; J C Roach; W Hagopian; J P Palmer; K Deutsch; C B Sanjeevi; I Kockum; N Breslow; A Lernmark
Journal:  Genes Immun       Date:  2010-05-06       Impact factor: 2.676

5.  No association between islet cell antibodies and Coxsackie B, mumps, rubella and cytomegalovirus antibodies in non-diabetic individuals aged 7-19 years.

Authors:  W A Scherbaum; W Hampl; P Muir; M Glück; J Seissler; H Egle; H Hauner; B O Boehm; E Heinze; J E Banatvala
Journal:  Diabetologia       Date:  1991-11       Impact factor: 10.122

6.  The Fourth International Serum Exchange Workshop to standardize cytoplasmic islet cell antibodies. The Immunology and Diabetes Workshops and Participating Laboratories.

Authors:  A Lernmark; J L Molenaar; W A van Beers; Y Yamaguchi; S Nagataki; J Ludvigsson; N K Maclaren
Journal:  Diabetologia       Date:  1991-07       Impact factor: 10.122

7.  Cellular immunity to a determinant common to glutamate decarboxylase and coxsackie virus in insulin-dependent diabetes.

Authors:  M A Atkinson; M A Bowman; L Campbell; B L Darrow; D L Kaufman; N K Maclaren
Journal:  J Clin Invest       Date:  1994-11       Impact factor: 14.808

8.  Islet-cell antibodies as predictors of the later development of type 1 (insulin-dependent) diabetes. A study in identical twins.

Authors:  C Johnston; B A Millward; P Hoskins; R D Leslie; G F Bottazzo; D A Pyke
Journal:  Diabetologia       Date:  1989-06       Impact factor: 10.122

9.  High serum levels of soluble CD8 in insulin-dependent diabetes.

Authors:  E Di Cesare; M Previti; M C Ingemi; G F Bagnato; D Cucinotta
Journal:  Clin Exp Immunol       Date:  1994-02       Impact factor: 4.330

10.  Islet cell antibodies predict insulin-dependent diabetes in United States school age children as powerfully as in unaffected relatives.

Authors:  D Schatz; J Krischer; G Horne; W Riley; R Spillar; J Silverstein; W Winter; A Muir; D Derovanesian; S Shah
Journal:  J Clin Invest       Date:  1994-06       Impact factor: 14.808
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