Distinct cytoplasmic islet cell antibodies with different risks for Type 1 (insulin-dependent) diabetes mellitus View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1992-04

AUTHORS

S. Genovese, E. Bonifacio, J. M. McNally, B. M. Dean, R. Wagner, E. Bosi, E. A. M. Gale, G. F. Bottazzo

ABSTRACT

The cytoplasmic islet cell antibody patterns of sera from islet cell antibody positive non-diabetic and diabetic endocrine autoimmune patients, and newly-diagnosed Type 1 (insulin-dependent) diabetic patients were characterised using four layer immunofluorescence with monoclonal anti-proinsulin or anti-glucagon antibodies. Two distinct islet cell antibody types were identified. One gave a diffuse cytoplasmic staining in both Beta and Alpha cells ('whole' islet pattern), and was not affected by pre-incubation with rat brain homogenate. The other had a granular appearance with staining restricted predominantly to Beta cells ('selective' islet pattern) and was completely inhibited by pre-incubation with rat brain homogenate. Some sera appeared to have a 'mixed' islet pattern, in which glucagon-positive cells gave a weaker cytoplasmic staining than proinsulin-positive cells. The granular 'selective' pattern was found in sera from 19 (79%) of 24 non-diabetic endocrine autoimmune patients, in two (22%) endocrine autoimmune patients who developed Type 1 diabetes (p less than 0.0001 vs non-diabetic endocrine autoimmune patients), and in none of 19 newly-diagnosed diabetic patients. The 'whole' islet pattern was found only in sera from patients who had, or who subsequently progressed to, Type 1 diabetes. This study has identified a novel islet cell antibody specificity and demonstrates that in islet cell antibody positive endocrine autoimmune patients, only islet cell antibodies which stain both Beta and Alpha cells are associated with progression to Type 1 diabetes. More... »

PAGES

385-388

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/bf00401207

DOI

http://dx.doi.org/10.1007/bf00401207

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016107783

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/1516768


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