Literature DB >> 28531305

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

Emanuele Bosi1, David C Boulware2, Dorothy J Becker3, Jane H Buckner4, Susan Geyer2, Peter A Gottlieb5, Courtney Henderson2, Amanda Kinderman2, Jay M Sosenko6, Andrea K Steck5, Polly J Bingley7.   

Abstract

Context: Islet autoantibodies are markers of type 1 diabetes, and an increase in number of autoantibodies detected during the preclinical phase predicts progression to overt disease. Objective: To refine the effect of age in relation to islet antibody type on progression from single to multiple autoantibodies in relatives of people with type 1 diabetes. Research Design and
Methods: We examined 994 relatives with normal glucose tolerance who were positive for a single autoantibody, followed prospectively in the TrialNet Pathway to Prevention. Antibodies to glutamic acid decarboxylase (GADA), insulin (IAA), insulinoma-associated antigen 2, and zinc transporter 8 and islet cell antibodies were tested every 6 to 12 months. The primary outcome was confirmed development of multiple autoantibodies. Age was categorized as <8 years, 8 to 11 years, 12 to 17 years, and ≥18 years, and optimal age breakpoints were identified by recursive partitioning analysis.
Results: After median follow-up of 2 years, 141 relatives had developed at least one additional autoantibodies. Five-year risk was inversely related to age, but the pattern differed by antibody type: Relatives with GADA showed a gradual decrease in risk over the four age groups, whereas relatives with IAA showed a sharp decrease above age 8 years. Recursive partitioning analysis identified age breakpoints at 14 years in relatives with GADA and at 4 years in relatives with IAA. Conclusions: In relatives with IAA, spread of islet autoimmunity is largely limited to early childhood, whereas immune responses initially directed at glutamic acid decarboxylase can mature over a longer period. These differences have important implications for monitoring these patients and for designing prevention trials.
Copyright © 2017 Endocrine Society

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Year:  2017        PMID: 28531305      PMCID: PMC5546870          DOI: 10.1210/jc.2017-00569

Source DB:  PubMed          Journal:  J Clin Endocrinol Metab        ISSN: 0021-972X            Impact factor:   5.958


  26 in total

1.  The 6 year incidence of diabetes-associated autoantibodies in genetically at-risk children: the TEDDY study.

Authors:  Jeffrey P Krischer; Kristian F Lynch; Desmond A Schatz; Jorma Ilonen; Åke Lernmark; William A Hagopian; Marian J Rewers; Jin-Xiong She; Olli G Simell; Jorma Toppari; Anette-G Ziegler; Beena Akolkar; Ezio Bonifacio
Journal:  Diabetologia       Date:  2015-02-10       Impact factor: 10.122

2.  The TrialNet Natural History Study of the Development of Type 1 Diabetes: objectives, design, and initial results.

Authors:  Jeffrey L Mahon; Jay M Sosenko; Lisa Rafkin-Mervis; Heidi Krause-Steinrauf; John M Lachin; Clinton Thompson; Polly J Bingley; Ezio Bonifacio; Jerry P Palmer; George S Eisenbarth; Joseph Wolfsdorf; Jay S Skyler
Journal:  Pediatr Diabetes       Date:  2008-09-24       Impact factor: 4.866

3.  Early seroconversion and rapidly increasing autoantibody concentrations predict prepubertal manifestation of type 1 diabetes in children at genetic risk.

Authors:  V Parikka; K Näntö-Salonen; M Saarinen; T Simell; J Ilonen; H Hyöty; R Veijola; M Knip; O Simell
Journal:  Diabetologia       Date:  2012-03-23       Impact factor: 10.122

4.  Harmonization of glutamic acid decarboxylase and islet antigen-2 autoantibody assays for national institute of diabetes and digestive and kidney diseases consortia.

Authors:  Ezio Bonifacio; Liping Yu; Alastair K Williams; George S Eisenbarth; Polly J Bingley; Santica M Marcovina; Kerstin Adler; Anette G Ziegler; Patricia W Mueller; Desmond A Schatz; Jeffrey P Krischer; Michael W Steffes; Beena Akolkar
Journal:  J Clin Endocrinol Metab       Date:  2010-05-05       Impact factor: 5.958

5.  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

6.  Prognostic Classification Factors Associated With Development of Multiple Autoantibodies, Dysglycemia, and Type 1 Diabetes-A Recursive Partitioning Analysis.

Authors:  Ping Xu; Jeffrey P Krischer
Journal:  Diabetes Care       Date:  2016-04-12       Impact factor: 19.112

7.  Seroconversion to multiple islet autoantibodies and risk of progression to diabetes in children.

Authors:  Anette G Ziegler; Marian Rewers; Olli Simell; Tuula Simell; Johanna Lempainen; Andrea Steck; Christiane Winkler; Jorma Ilonen; Riitta Veijola; Mikael Knip; Ezio Bonifacio; George S Eisenbarth
Journal:  JAMA       Date:  2013-06-19       Impact factor: 56.272

8.  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

9.  Development of autoantibodies in the TrialNet Natural History Study.

Authors:  Kendra Vehik; Craig A Beam; Jeffrey L Mahon; Desmond A Schatz; Michael J Haller; Jay M Sosenko; Jay S Skyler; Jeffrey P Krischer
Journal:  Diabetes Care       Date:  2011-07-12       Impact factor: 19.112

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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  17 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

Review 2.  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

3.  Immunoendocrinology: When (neuro)endocrinology and immunology meet.

Authors:  Christian A Koch; Alessandro Antonelli
Journal:  Rev Endocr Metab Disord       Date:  2018-12       Impact factor: 6.514

4.  Relative Pancreas Volume Is Reduced in First-Degree Relatives of Patients With Type 1 Diabetes.

Authors:  Martha L Campbell-Thompson; Stephanie L Filipp; Joseph R Grajo; Bimota Nambam; Richard Beegle; Erik H Middlebrooks; Matthew J Gurka; Mark A Atkinson; Desmond A Schatz; Michael J Haller
Journal:  Diabetes Care       Date:  2018-12-14       Impact factor: 19.112

Review 5.  Preclinical Autoimmune Disease: a Comparison of Rheumatoid Arthritis, Systemic Lupus Erythematosus, Multiple Sclerosis and Type 1 Diabetes.

Authors:  Giulia Frazzei; Ronald F van Vollenhoven; Brigit A de Jong; Sarah E Siegelaar; Dirkjan van Schaardenburg
Journal:  Front Immunol       Date:  2022-06-30       Impact factor: 8.786

6.  Type 1 Diabetes TrialNet: A Multifaceted Approach to Bringing Disease-Modifying Therapy to Clinical Use in Type 1 Diabetes.

Authors:  Polly J Bingley; Diane K Wherrett; Ann Shultz; Lisa E Rafkin; Mark A Atkinson; Carla J Greenbaum
Journal:  Diabetes Care       Date:  2018-04       Impact factor: 19.112

7.  Strength in Numbers: Opportunities for Enhancing the Development of Effective Treatments for Type 1 Diabetes-The TrialNet Experience.

Authors:  Carla J Greenbaum; Cate Speake; Jeffrey Krischer; Jane Buckner; Peter A Gottlieb; Desmond A Schatz; Kevan C Herold; Mark A Atkinson
Journal:  Diabetes       Date:  2018-05-16       Impact factor: 9.461

8.  Characterising the age-dependent effects of risk factors on type 1 diabetes progression.

Authors:  Michelle So; Colin O'Rourke; Alyssa Ylescupidez; Henry T Bahnson; Andrea K Steck; John M Wentworth; Brittany S Bruggeman; Sandra Lord; Carla J Greenbaum; Cate Speake
Journal:  Diabetologia       Date:  2022-01-18       Impact factor: 10.122

9.  Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes.

Authors:  Taylor M Triolo; Alexandra Fouts; Laura Pyle; Liping Yu; Peter A Gottlieb; Andrea K Steck
Journal:  Diabetes Care       Date:  2018-07-30       Impact factor: 17.152

10.  An Age-Related Exponential Decline in the Risk of Multiple Islet Autoantibody Seroconversion During Childhood.

Authors:  Ezio Bonifacio; Andreas Weiß; Christiane Winkler; Markus Hippich; Marian J Rewers; Jorma Toppari; Åke Lernmark; Jin-Xiong She; William A Hagopian; Jeffrey P Krischer; Kendra Vehik; Desmond A Schatz; Beena Akolkar; Anette-Gabriele Ziegler
Journal:  Diabetes Care       Date:  2021-02-24       Impact factor: 17.152

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