title: Combined positivity for HLA DQ2/DQ8 and IA-2 antibodies defines population at high risk of developing type 1 diabetes.
abstract: OBJECTIVE
  Prevention trials in first-degree relatives of type 1 diabetic patients are hampered by large interindividual differences in progression rate to diabetes. We investigated whether specific combinations of immune and genetic markers can identify subgroups with more homogeneous progression to clinical onset.
  
  
  METHODS
  Antibodies against islet cell cytoplasm (ICA), insulin (IAA), glutamate decarboxylase (GADA) and IA-2 protein (IA-2A) were measured in 790 non-diabetic control subjects and 4,589 first-degree relatives under age 40.
  
  
  RESULTS
  On first sampling, 11.1% of the siblings presented at least one antibody type (p<0.001 vs other relatives). During follow-up (median 52 months) 43 subjects developed type 1 diabetes (31 siblings, ten offspring of a diabetic father, two offspring of a diabetic mother). Using Kaplan-Meier survival analysis and Cox regression, IA-2A conferred the highest 5-year diabetes risk (>50%) irrespective of the number of antibodies present. In initially IA-2A-positive relatives (n=58) progression to hyperglycaemia depended more on HLA DQ status than on type of kinship (84% progression in the presence of DQ2/DQ8 vs 32% in its absence; p<0.003). In IA-2A-negative relatives (n=4,531) 5-year progression to diabetes increased with the number of other antibodies (ICA, GADA and/or IAA) (p<0.001) but overall did not exceed 10% even for two or more antibodies. Among relatives initially positive for one or more antibody type other than IA-2A (n=315), there was significantly more progression to diabetes (overall still <10%) in carriers of DQ2 (p<0.001 vs no DQ2), regardless of DQ8 status.
  
  
  CONCLUSIONS
  These observations suggest that the HLA-DQ-inferred risk of diabetes can proceed through two distinct pathways distinguished by IA-2A status. Combined positivity for DQ2/DQ8 and IA-2A defines a more homogeneous high-risk population for prevention trials than those used so far.
authors.affiliation: Diabetes Research Center, Brussels Free University-VUB, Laarbeeklaan 103, 1090 Brussels, Belgium.
authors.forename: K
authors.initials: K
authors.lastname: Decochez
authors.forename: I
authors.initials: I
authors.lastname: Truyen
authors.forename: B
authors.initials: B
authors.lastname: van der Auwera
authors.forename: I
authors.initials: I
authors.lastname: Weets
authors.forename: E
authors.initials: E
authors.lastname: Vandemeulebroucke
authors.forename: I H
authors.initials: IH
authors.lastname: de Leeuw
authors.forename: B
authors.initials: B
authors.lastname: Keymeulen
authors.forename: C
authors.initials: C
authors.lastname: Mathieu
authors.forename: R
authors.initials: R
authors.lastname: Rottiers
authors.forename: D G
authors.initials: DG
authors.lastname: Pipeleers
authors.forename: F K
authors.initials: FK
authors.lastname: Gorus
mesh_terms: D000293:Adolescent; D000328:Adult; D001323:Autoantibodies / Q000097:blood*; D002648:Child; D003922:Diabetes Mellitus, Type 1 / Q000097:blood / Q000235:genetics* / Q000276:immunology; D018450:Disease Progression; D018572:Disease-Free Survival; D005190:Family; D005192:Family Health; D005260:Female; D005838:Genotype; D005968:Glutamate Decarboxylase / Q000276:immunology; D006683:HLA-DQ Antigens / Q000235:genetics*; D006239:Haplotypes / Q000235:genetics / Q000276:immunology; D006801:Humans; D007330:Insulin Antibodies / Q000097:blood; D008297:Male; D011446:Prospective Studies; D012044:Regression Analysis; D012307:Risk Factors; D013997:Time Factors
chemical_list: D001323:Autoantibodies; D006683:HLA-DQ Antigens; C053186:HLA-DQ2 antigen; C109756:HLA-DQ8 antigen; C096322:ICA512 autoantibody; D007330:Insulin Antibodies; C024211:islet cell antibody; D005968:Glutamate Decarboxylase