AIMS/HYPOTHESIS: Multiple islet autoantibody positivity is currently believed to best predict progression to Type I (insulin-dependent) diabetes mellitus. We compared its predictive value with that of positivity for a particular type of islet autoantibody, directed against the IA-2 antigen. METHODS: Autoantibodies against islet cell cytoplasm (ICA), insulin (IAA), GAD (GADA) and IA-2 (IA-2A) were measured at initial sampling in 1724 non-diabetic siblings (median age [range]:16 [0-39] years) of Type I diabetic patients with a median follow-up of 50 months. RESULTS: On initial sampling 11% of siblings were positive for one antibody type or more and 2.1% for three of more types. During follow-up, 27 antibody-positive siblings developed diabetes. Using survival analysis, the risk for clinical onset within 5 years was 34% in subjects positive for three or more types compared with 13% in those with one type or more. Progression to diabetes amounted to 12% within 5 years among siblings positive for IAA, 20% for ICA, 19% for GADA but 59% for IA-2A (p<0.001 vs absence of the respective antibody). IA-2A were detected in 1.7% of all siblings and in 56% of the prediabetic subjects on first sampling. Initial positivity for two or three antibody markers was associated with a higher progression rate in IA-2A positive as compared to IA-2A negative siblings (p=0.001). In absence of IA-2A initial positivity for another antibody (IAA, ICA or GADA) conferred a low (<10% within 5 years) risk of diabetes compared to subjects lacking this antibody. CONCLUSIONS/ INTERPRETATION: In siblings of Type I diabetic patients, IA-2A positivity is a more direct predictor of impending clinical onset than multiple antibody positivity per se. Assessment of IA-2A status allows us to select subjects with homogeneously high risk of diabetes for participation in prevention trials.
AIMS/HYPOTHESIS: Multiple islet autoantibody positivity is currently believed to best predict progression to Type I (insulin-dependent) diabetes mellitus. We compared its predictive value with that of positivity for a particular type of islet autoantibody, directed against the IA-2 antigen. METHODS: Autoantibodies against islet cell cytoplasm (ICA), insulin (IAA), GAD (GADA) and IA-2 (IA-2A) were measured at initial sampling in 1724 non-diabetic siblings (median age [range]:16 [0-39] years) of Type I diabeticpatients with a median follow-up of 50 months. RESULTS: On initial sampling 11% of siblings were positive for one antibody type or more and 2.1% for three of more types. During follow-up, 27 antibody-positive siblings developed diabetes. Using survival analysis, the risk for clinical onset within 5 years was 34% in subjects positive for three or more types compared with 13% in those with one type or more. Progression to diabetes amounted to 12% within 5 years among siblings positive for IAA, 20% for ICA, 19% for GADA but 59% for IA-2A (p<0.001 vs absence of the respective antibody). IA-2A were detected in 1.7% of all siblings and in 56% of the prediabetic subjects on first sampling. Initial positivity for two or three antibody markers was associated with a higher progression rate in IA-2A positive as compared to IA-2A negative siblings (p=0.001). In absence of IA-2A initial positivity for another antibody (IAA, ICA or GADA) conferred a low (<10% within 5 years) risk of diabetes compared to subjects lacking this antibody. CONCLUSIONS/ INTERPRETATION: In siblings of Type I diabeticpatients, IA-2A positivity is a more direct predictor of impending clinical onset than multiple antibody positivity per se. Assessment of IA-2A status allows us to select subjects with homogeneously high risk of diabetes for participation in prevention trials.
Authors: Laura M Jacobsen; Laura Bocchino; Carmella Evans-Molina; Linda DiMeglio; Robin Goland; Darrell M Wilson; Mark A Atkinson; Tandy Aye; William E Russell; John M Wentworth; David Boulware; Susan Geyer; Jay M Sosenko Journal: Diabetologia Date: 2019-11-25 Impact factor: 10.122
Authors: Annie J Kruger; Chaoxing Yang; Sun W Tam; Douglas Hinerfeld; James E Evans; Karin M Green; John Leszyk; Kejian Yang; Dennis L Guberski; John P Mordes; Dale L Greiner; Aldo A Rossini; Rita Bortell Journal: Exp Biol Med (Maywood) Date: 2010-11
Authors: I Truyen; P De Pauw; P N Jørgensen; C Van Schravendijk; O Ubani; K Decochez; E Vandemeulebroucke; I Weets; R Mao; D G Pipeleers; F K Gorus Journal: Diabetologia Date: 2005-10-07 Impact factor: 10.122
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Authors: K Decochez; I Truyen; B van der Auwera; I Weets; E Vandemeulebroucke; I H de Leeuw; B Keymeulen; C Mathieu; R Rottiers; D G Pipeleers; F K Gorus Journal: Diabetologia Date: 2005-03-09 Impact factor: 10.122
Authors: I Weets; L Kaufman; B Van der Auwera; L Crenier; R P A Rooman; C De Block; K Casteels; E Weber; M Coeckelberghs; Z Laron; D G Pipeleers; F K Gorus Journal: Diabetologia Date: 2004-04 Impact factor: 10.122
Authors: J De Grijse; M Asanghanwa; B Nouthe; N Albrecher; P Goubert; I Vermeulen; S Van Der Meeren; K Decochez; I Weets; B Keymeulen; V Lampasona; J Wenzlau; J C Hutton; D Pipeleers; F K Gorus Journal: Diabetologia Date: 2009-11-29 Impact factor: 10.122