The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetes

被引:731
作者
Wenzlau, Janet M. [1 ]
Juhl, Kirstine [1 ]
Yu, Liping [1 ]
Moua, Ong [1 ]
Sarkar, Suparna A. [1 ]
Gottlieb, Peter [1 ]
Rewers, Marian [1 ]
Eisenbarth, George S. [1 ]
Jensen, Jan [1 ]
Davidson, Howard W. [1 ]
Hutton, John C. [1 ]
机构
[1] Univ Colorado, Barbara Davis Ctr Childhood Diabet, Hlth Sci Ctr, Aurora, CO 80045 USA
关键词
autoantibody; zinc transport; prediabetes;
D O I
10.1073/pnas.0705894104
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Type 1 diabetes (T1D) results from progressive loss of pancreatic islet mass through autoimmunity targeted at a diverse, yet limited, series of molecules that are expressed in the pancreatic 13 cell. Identification of these molecular targets provides insight into the pathogenic process, diagnostic assays, and potential therapeutic agents. Autoantigen candidates were identified from microarray expression profiling of human and rodent pancreas and islet cells and screened with radioimmunoprecipitation assays using newonset T1D and prediabetic sera. A high-ranking candidate, the zinc transporter ZnT8 (SIc30A8), was targeted by autoantibodies in 60-80% of new-onset T1D compared with <2% of controls and <3% type 2 diabetic and in up to 30% of patients with other autoimmune disorders with a T1D association. ZnT8 antibodies (ZnTA) were found in 26% of T1D subjects classified as autoantibody-negative on the basis of existing markers [glutamate decarboxylase (GADA), protein tyrosine phosphatase IA2 (IA2A), antibodies to insulin (IAA), and islet cytoplasmic autoantibodies (ICA)]. Individuals followed from birth to T1D showed ZnT8A as early as 2 years of age and increasing levels and prevalence persisting to disease onset. ZnT8A generally emerged later than GADA and IAA in prediabetes, although not in a strict order. The combined measurement of ZnT8A, GADA, IA2A, and IAA raised autoimmunity detection rates to 98% at disease onset, a level that approaches that needed to detect prediabetes in a general pediatric population. The combination of bioinformatics and molecular engineering used here will potentially generate other diabetes autoimmunity markers and is also broadly applicable to other autclimmune disorders.
引用
收藏
页码:17040 / 17045
页数:6
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