Literature DB >> 23199327

Screening for insulinoma antigen 2 and zinc transporter 8 autoantibodies: a cost-effective and age-independent strategy to identify rapid progressors to clinical onset among relatives of type 1 diabetic patients.

F K Gorus1, E V Balti, I Vermeulen, S Demeester, A Van Dalem, O Costa, H Dorchy, S Tenoutasse, T Mouraux, C De Block, P Gillard, K Decochez, J M Wenzlau, J C Hutton, D G Pipeleers, I Weets.   

Abstract

In first-degree relatives of type 1 diabetic patients, we investigated whether diabetes risk assessment solely based on insulinoma antigen 2 (IA-2) and zinc transporter 8 (ZnT8) antibody status (IA-2A, respectively, ZnT8A) is as effective as screening for three or four autoantibodies [antibodies against insulin (IAA), glutamate decarboxylase 65 kDa (GAD) glutamate decarboxylase autoantibodies (GADA) and IA-2A with or without ZnT8A] in identifying children, adolescents and adults who progress rapidly to diabetes (within 5 years). Antibodies were determined by radiobinding assays during follow-up of 6444 siblings and offspring aged 0-39 years at inclusion and recruited consecutively by the Belgian Diabetes Registry. We identified 394 persistently IAA(+) , GADA(+) , IA-2A(+) and/or ZnT8A(+) relatives (6·1%). After a median follow-up time of 52 months, 132 relatives developed type 1 diabetes. In each age category tested (0-9, 10-19 and 20-39 years) progression to diabetes was significantly quicker in the presence of IA-2A and/or ZnT8A than in their joint absence (P < 0·001). Progression rate was age-independent in IA-2A(+) and/or ZnT8A(+) relatives but decreased with age if only GADA and/or IAA were present (P = 0·008). In the age group mainly considered for immune interventions until now (10-39 years), screening for IA-2A and ZnT8A alone identified 78% of the rapid progressors (versus 75% if positive for ≥ 2 antibodies among IAA, GADA, IA-2A and ZnT8A or versus 62% without testing for ZnT8A). Screening for IA-2A and ZnT8A alone allows identification of the majority of rapidly progressing prediabetic siblings and offspring regardless of age and is more cost-effective to select participants for intervention trials than conventional screening.
© 2012 British Society for Immunology.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23199327      PMCID: PMC3530099          DOI: 10.1111/j.1365-2249.2012.04675.x

Source DB:  PubMed          Journal:  Clin Exp Immunol        ISSN: 0009-9104            Impact factor:   4.330


  41 in total

Review 1.  Prospects for predicting and stopping the development of type 1 of diabetes.

Authors:  F K Gorus; D G Pipeleers
Journal:  Best Pract Res Clin Endocrinol Metab       Date:  2001-09       Impact factor: 4.690

2.  Relative and absolute HLA-DQA1-DQB1 linked risk for developing type I diabetes before 40 years of age in the Belgian population: implications for future prevention studies.

Authors:  Bart J Van der Auwera; Frans C Schuit; Ilse Weets; Ann Ivens; Jan E Van Autreve; Frans K Gorus
Journal:  Hum Immunol       Date:  2002-01       Impact factor: 2.850

3.  Male-to-female excess in diabetes diagnosed in early adulthood is not specific for the immune-mediated form nor is it HLA-DQ restricted: possible relation to increased body mass index.

Authors:  I Weets; J Van Autreve; B J Van der Auwera; F C Schuit; M V Du Caju; K Decochez; I H De Leeuw; B Keymeulen; C Mathieu; R Rottiers; H Dorchy; E Quartier; F K Gorus
Journal:  Diabetologia       Date:  2001-01       Impact factor: 10.122

4.  Effects of insulin in relatives of patients with type 1 diabetes mellitus.

Authors: 
Journal:  N Engl J Med       Date:  2002-05-30       Impact factor: 91.245

Review 5.  Can we really predict IDDM?

Authors:  P J Bingley; E Bonifacio; E A Gale
Journal:  Diabetes       Date:  1993-02       Impact factor: 9.461

6.  Prediction of type I diabetes in first-degree relatives using a combination of insulin, GAD, and ICA512bdc/IA-2 autoantibodies.

Authors:  C F Verge; R Gianani; E Kawasaki; L Yu; M Pietropaolo; R A Jackson; H P Chase; G S Eisenbarth
Journal:  Diabetes       Date:  1996-07       Impact factor: 9.461

7.  An important minority of prediabetic first-degree relatives of type 1 diabetic patients derives from seroconversion to persistent autoantibody positivity after 10 years of age.

Authors:  I Vermeulen; I Weets; O Costa; M Asanghanwa; K Verhaeghen; K Decochez; J Ruige; K Casteels; J Wenzlau; J C Hutton; D G Pipeleers; F K Gorus
Journal:  Diabetologia       Date:  2011-11-18       Impact factor: 10.122

8.  HLA-DQB1-defined genetic susceptibility, beta cell autoimmunity, and metabolic characteristics in familial and nonfamilial insulin-dependent diabetes mellitus. Childhood Diabetes in Finland (DiMe) Study Group.

Authors:  R Veijola; H Reijonen; P Vähäsalo; E Sabbah; P Kulmala; J Ilonen; H K Akerblom; M Knip
Journal:  J Clin Invest       Date:  1996-12-01       Impact factor: 14.808

9.  European Nicotinamide Diabetes Intervention Trial (ENDIT): a randomised controlled trial of intervention before the onset of type 1 diabetes.

Authors:  E A M Gale; P J Bingley; C L Emmett; T Collier
Journal:  Lancet       Date:  2004-03-20       Impact factor: 79.321

10.  Sample size requirements for studies of treatment effects on beta-cell function in newly diagnosed type 1 diabetes.

Authors:  John M Lachin; Paula L McGee; Carla J Greenbaum; Jerry Palmer; Mark D Pescovitz; Peter Gottlieb; Jay Skyler
Journal:  PLoS One       Date:  2011-11-10       Impact factor: 3.240

View more
  19 in total

1.  The risk of progression to type 1 diabetes is highly variable in individuals with multiple autoantibodies following screening.

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

2.  Relationship between glycaemic variability and hyperglycaemic clamp-derived functional variables in (impending) type 1 diabetes.

Authors:  Annelien Van Dalem; Simke Demeester; Eric V Balti; Katelijn Decochez; Ilse Weets; Evy Vandemeulebroucke; Ursule Van de Velde; An Walgraeve; Nicole Seret; Christophe De Block; Johannes Ruige; Pieter Gillard; Bart Keymeulen; Daniel G Pipeleers; Frans K Gorus
Journal:  Diabetologia       Date:  2015-09-26       Impact factor: 10.122

3.  Optimizing Multiplexed Detections of Diabetes Antibodies via Quantitative Microfluidic Droplet Array.

Authors:  Kai Duan; Gargi Ghosh; Joe Fujiou Lo
Journal:  Small       Date:  2017-10-09       Impact factor: 13.281

4.  The prevalence and predictive value of the SLC30A8 R325W polymorphism and zinc transporter 8 autoantibodies in the development of GDM and postpartum type 1 diabetes.

Authors:  Jonatan Dereke; Sanna Palmqvist; Charlotta Nilsson; Mona Landin-Olsson; Magnus Hillman
Journal:  Endocrine       Date:  2016-03-22       Impact factor: 3.633

5.  Insulin-Like Growth Factor Dysregulation Both Preceding and Following Type 1 Diabetes Diagnosis.

Authors:  Melanie R Shapiro; Clive H Wasserfall; Sean M McGrail; Amanda L Posgai; Rhonda Bacher; Andrew Muir; Michael J Haller; Desmond A Schatz; Johnna D Wesley; Matthias von Herrath; William A Hagopian; Cate Speake; Mark A Atkinson; Todd M Brusko
Journal:  Diabetes       Date:  2019-12-11       Impact factor: 9.461

Review 6.  Progress in immune-based therapies for type 1 diabetes.

Authors:  M von Herrath; M Peakman; B Roep
Journal:  Clin Exp Immunol       Date:  2013-05       Impact factor: 4.330

7.  Non-HLA type 1 diabetes genes modulate disease risk together with HLA-DQ and islet autoantibodies.

Authors:  M Maziarz; W Hagopian; J P Palmer; C B Sanjeevi; I Kockum; N Breslow; Å Lernmark
Journal:  Genes Immun       Date:  2015-10-29       Impact factor: 2.676

Review 8.  Current and Future Clinical Applications of Zinc Transporter-8 in Type 1 Diabetes Mellitus.

Authors:  Bo Yi; Gan Huang; Zhi-Guang Zhou
Journal:  Chin Med J (Engl)       Date:  2015-09-05       Impact factor: 2.628

9.  Changes in Zinc Transporter 8 Autoantibodies Following Type 1 Diabetes Onset: The Type 1 Diabetes Genetics Consortium Autoantibody Workshop.

Authors:  Janet M Wenzlau; Lisa M Frisch; John C Hutton; Pamela R Fain; Howard W Davidson
Journal:  Diabetes Care       Date:  2015-10       Impact factor: 19.112

10.  Use of the Diabetes Prevention Trial-Type 1 Risk Score (DPTRS) for improving the accuracy of the risk classification of type 1 diabetes.

Authors:  Jay M Sosenko; Jay S Skyler; Jeffrey Mahon; Jeffrey P Krischer; Carla J Greenbaum; Lisa E Rafkin; Craig A Beam; David C Boulware; Della Matheson; David Cuthbertson; Kevan C Herold; George Eisenbarth; Jerry P Palmer
Journal:  Diabetes Care       Date:  2014-02-18       Impact factor: 19.112

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.