Publication Date:
1999-05-15
Description:
Glutamic acid decarboxylase (GAD) is a pancreatic beta cell autoantigen in humans and nonobese diabetic (NOD) mice. beta Cell-specific suppression of GAD expression in two lines of antisense GAD transgenic NOD mice prevented autoimmune diabetes, whereas persistent GAD expression in the beta cells in the other four lines of antisense GAD transgenic NOD mice resulted in diabetes, similar to that seen in transgene-negative NOD mice. Complete suppression of beta cell GAD expression blocked the generation of diabetogenic T cells and protected islet grafts from autoimmune injury. Thus, beta cell-specific GAD expression is required for the development of autoimmune diabetes in NOD mice, and modulation of GAD might, therefore, have therapeutic value in type 1 diabetes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yoon, J W -- Yoon, C S -- Lim, H W -- Huang, Q Q -- Kang, Y -- Pyun, K H -- Hirasawa, K -- Sherwin, R S -- Jun, H S -- DK 45735/DK/NIDDK NIH HHS/ -- DK 53015-01/DK/NIDDK NIH HHS/ -- New York, N.Y. -- Science. 1999 May 14;284(5417):1183-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Viral and Immunopathogenesis of Diabetes, Julia McFarlane Diabetes Research Centre, Faculty of Medicine, University of Calgary, Calgary, Alberta T2N 4N1, Canada. yoon@ucalgary.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10325232" target="_blank"〉PubMed〈/a〉
Keywords:
Adoptive Transfer
;
Animals
;
Autoantigens/genetics/*immunology/physiology
;
Autoimmunity
;
DNA, Antisense
;
Diabetes Mellitus, Type 1/*enzymology/*immunology/pathology
;
Female
;
Gene Expression
;
Glutamate Decarboxylase/genetics/*immunology/physiology
;
Insulin/blood/metabolism
;
Islets of Langerhans/*enzymology/immunology/metabolism/pathology
;
Islets of Langerhans Transplantation
;
Lymphocyte Activation
;
Male
;
Mice
;
Mice, Inbred NOD
;
Mice, SCID
;
Mice, Transgenic
;
T-Lymphocytes/immunology
;
Transgenes
Print ISSN:
0036-8075
Electronic ISSN:
1095-9203
Topics:
Biology
,
Chemistry and Pharmacology
,
Computer Science
,
Medicine
,
Natural Sciences in General
,
Physics
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