Literature DB >> 27255734

Predictors of slow progression to diabetes in children with multiple islet autoantibodies.

Andrea K Steck1, Fran Dong2, Kathleen Waugh2, Brigitte I Frohnert2, Liping Yu2, Jill M Norris3, Marian J Rewers2.   

Abstract

Although most children with multiple islet autoantibodies develop type 1 diabetes, rate of progression is highly variable. The goal of this study was to explore potential factors involved in rate of progression to diabetes in children with multiple islet autoantibodies. The Diabetes Autoimmunity Study in the Young (DAISY) has followed 118 children with multiple islet autoantibodies for progression to diabetes. After excluding 27 children currently diabetes-free but followed for <10 years, the study population was grouped into: rapid progressors (N = 39) who developed diabetes in <5 years; moderate progressors (N = 25), diagnosed with diabetes within 5-10 years; and slow progressors (N = 27), diabetes-free for >10 years. Islet autoimmunity appeared at 4.0 ± 3.5, 3.2 ± 1.8 and 5.8 ± 3.1 years of age in rapid, moderate and slow progressors, respectively (p = 0.006). Insulin autoantibody levels were lower in slow progressors compared to moderate and rapid progressors. The groups did not differ by gender, ethnicity, family history, susceptibility HLA and non-HLA genes. The rate of development of individual islet autoantibodies including mIAA, GADA, IA-2A and ZnT8A were all slower in the slow versus moderate/rapid progressors. In multivariate analyses, older age at seroconversion and lower initial mIAA levels independently predicted slower progression to diabetes. Later onset of islet autoimmunity and lower autoantibody levels predicted slower progression to diabetes among children with multiple islet autoantibodies. These factors may need to be considered in the design of trials to prevent type 1 diabetes.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Islet autoimmunity; Multiple islet autoantibodies; Predictors for diabetes; Rate of progression to diabetes; Type 1 diabetes

Mesh:

Substances:

Year:  2016        PMID: 27255734      PMCID: PMC4958563          DOI: 10.1016/j.jaut.2016.05.010

Source DB:  PubMed          Journal:  J Autoimmun        ISSN: 0896-8411            Impact factor:   7.094


  28 in total

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3.  Newborn screening for HLA markers associated with IDDM: diabetes autoimmunity study in the young (DAISY).

Authors:  M Rewers; T L Bugawan; J M Norris; A Blair; B Beaty; M Hoffman; R S McDuffie; R F Hamman; G Klingensmith; G S Eisenbarth; H A Erlich
Journal:  Diabetologia       Date:  1996-07       Impact factor: 10.122

4.  Characteristics of rapid vs slow progression to type 1 diabetes in multiple islet autoantibody-positive children.

Authors:  P Achenbach; M Hummel; L Thümer; H Boerschmann; D Höfelmann; A G Ziegler
Journal:  Diabetologia       Date:  2013-03-29       Impact factor: 10.122

5.  Brief communication: early appearance of islet autoantibodies predicts childhood type 1 diabetes in offspring of diabetic parents.

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Journal:  Ann Intern Med       Date:  2004-06-01       Impact factor: 25.391

6.  ICA512 autoantibody radioassay.

Authors:  R Gianani; D U Rabin; C F Verge; L Yu; S R Babu; M Pietropaolo; G S Eisenbarth
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7.  Stratification of type 1 diabetes risk on the basis of islet autoantibody characteristics.

Authors:  Peter Achenbach; Katharina Warncke; Jürgen Reiter; Heike E Naserke; Alistair J K Williams; Polly J Bingley; Ezio Bonifacio; Anette-G Ziegler
Journal:  Diabetes       Date:  2004-02       Impact factor: 9.461

8.  Improving prediction of type 1 diabetes by testing non-HLA genetic variants in addition to HLA markers.

Authors:  Andrea K Steck; Fran Dong; Randall Wong; Alexandra Fouts; Edwin Liu; Jihane Romanos; Cisca Wijmenga; Jill M Norris; Marian J Rewers
Journal:  Pediatr Diabetes       Date:  2013-11-08       Impact factor: 4.866

9.  Predictors of Progression From the Appearance of Islet Autoantibodies to Early Childhood Diabetes: The Environmental Determinants of Diabetes in the Young (TEDDY).

Authors:  Andrea K Steck; Kendra Vehik; Ezio Bonifacio; Ake Lernmark; Anette-G Ziegler; William A Hagopian; JinXiong She; Olli Simell; Beena Akolkar; Jeffrey Krischer; Desmond Schatz; Marian J Rewers
Journal:  Diabetes Care       Date:  2015-02-09       Impact factor: 17.152

10.  Pancreatic islet autoantibodies as predictors of type 1 diabetes in the Diabetes Prevention Trial-Type 1.

Authors:  Tihamer Orban; Jay M Sosenko; David Cuthbertson; Jeffrey P Krischer; Jay S Skyler; Richard Jackson; Liping Yu; Jerry P Palmer; Desmond Schatz; George Eisenbarth
Journal:  Diabetes Care       Date:  2009-09-09       Impact factor: 17.152

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  16 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

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Review 3.  Shared and unique immune alterations in pre-clinical autoimmunity.

Authors:  Samantha Slight-Webb; Rebecka L Bourn; V Michael Holers; Judith A James
Journal:  Curr Opin Immunol       Date:  2019-09-23       Impact factor: 7.486

Review 4.  Beyond Genetics: What Causes Type 1 Diabetes.

Authors:  Zhen Wang; Zhiguo Xie; Qianjin Lu; Christopher Chang; Zhiguang Zhou
Journal:  Clin Rev Allergy Immunol       Date:  2017-04       Impact factor: 8.667

5.  Impact of Age and Antibody Type on Progression From Single to Multiple Autoantibodies in Type 1 Diabetes Relatives.

Authors:  Emanuele Bosi; David C Boulware; Dorothy J Becker; Jane H Buckner; Susan Geyer; Peter A Gottlieb; Courtney Henderson; Amanda Kinderman; Jay M Sosenko; Andrea K Steck; Polly J Bingley
Journal:  J Clin Endocrinol Metab       Date:  2017-08-01       Impact factor: 5.958

6.  Introducing the Endotype Concept to Address the Challenge of Disease Heterogeneity in Type 1 Diabetes.

Authors:  Manuela Battaglia; Simi Ahmed; Mark S Anderson; Mark A Atkinson; Dorothy Becker; Polly J Bingley; Emanuele Bosi; Todd M Brusko; Linda A DiMeglio; Carmella Evans-Molina; Stephen E Gitelman; Carla J Greenbaum; Peter A Gottlieb; Kevan C Herold; Martin J Hessner; Mikael Knip; Laura Jacobsen; Jeffrey P Krischer; S Alice Long; Markus Lundgren; Eoin F McKinney; Noel G Morgan; Richard A Oram; Tomi Pastinen; Michael C Peters; Alessandra Petrelli; Xiaoning Qian; Maria J Redondo; Bart O Roep; Desmond Schatz; David Skibinski; Mark Peakman
Journal:  Diabetes Care       Date:  2019-11-21       Impact factor: 19.112

7.  Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children.

Authors:  Kenney Ng; Vibha Anand; Harry Stavropoulos; Riitta Veijola; Jorma Toppari; Marlena Maziarz; Markus Lundgren; Kathy Waugh; Brigitte I Frohnert; Frank Martin; Olivia Lou; William Hagopian; Peter Achenbach
Journal:  Diabetologia       Date:  2022-10-05       Impact factor: 10.460

8.  Islet Autoantibody Type-Specific Titer Thresholds Improve Stratification of Risk of Progression to Type 1 Diabetes in Children.

Authors:  Kenney Ng; Harry Stavropoulos; Vibha Anand; Riitta Veijola; Jorma Toppari; Marlena Maziarz; Markus Lundgren; Kathy Waugh; Brigitte I Frohnert; Frank Martin; William Hagopian; Peter Achenbach
Journal:  Diabetes Care       Date:  2022-01-01       Impact factor: 17.152

9.  Ethnic differences in progression of islet autoimmunity and type 1 diabetes in relatives at risk.

Authors:  Mustafa Tosur; Susan M Geyer; Henry Rodriguez; Ingrid Libman; David A Baidal; Maria J Redondo
Journal:  Diabetologia       Date:  2018-06-21       Impact factor: 10.122

10.  Joint modeling of longitudinal autoantibody patterns and progression to type 1 diabetes: results from the TEDDY study.

Authors:  Meike Köhler; Andreas Beyerlein; Kendra Vehik; Sonja Greven; Nikolaus Umlauf; Åke Lernmark; William A Hagopian; Marian Rewers; Jin-Xiong She; Jorma Toppari; Beena Akolkar; Jeffrey P Krischer; Ezio Bonifacio; Anette-G Ziegler
Journal:  Acta Diabetol       Date:  2017-08-30       Impact factor: 4.087

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