Literature DB >> 28707353

Increasing ICA512 autoantibody titers predict development of abnormal oral glucose tolerance tests.

Srinath Sanda1.   

Abstract

OBJECTIVE: Determine if autoantibody titer magnitude and variability predict glucose abnormalities in subjects at risk for type 1 diabetes. RESEARCH DESIGNS AND METHODS: Demographic information, longitudinal autoantibody titers, and oral glucose tolerance test (OGTT) data were obtained from the TrialNet Pathway to Prevention study. Subjects (first and second degree relatives of individuals with type 1 diabetes) with at least 2 diabetes autoantibodies were selected for analysis. Autoantibody titer means were calculated for each subject for the duration of study participation and the relationship between titer tertiles and glucose value tertiles from OGTTs (normal, impaired, and diabetes) was assessed with a proportional odds ordinal regression model. A matched pairs analysis was used to examine the relationship between changes in individual autoantibody titers and 120-minute glucose values. Titer variability was quantified using cumulative titer standard deviations.
RESULTS: We studied 778 subjects recruited in the TrialNet Pathway to Prevention study between 2006 and 2014. Increased cumulative mean titer values for both ICA512 and GAD65 (estimated increase in proportional odds = 1.61, 95% CI = 1.39, 1.87, P < 1 × 10-9 and 1.17, 95% CI = 1.03, 1.32, P = .016, respectively) were associated with peak 120-minute glucose values. While fluctuating titer levels were observed in some subjects, no significant relationship between titer standard deviation and glucose values was observed.
CONCLUSION: ICA512 autoantibody titers associate with progressive abnormalities in glucose metabolism in subjects at risk for type 1 diabetes. Fluctuations in autoantibody titers do not correlate with lower rates of progression to clinical disease.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  zzm321990GAD65; zzm321990ICA512; autoantibodies; type 1 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28707353      PMCID: PMC5849060          DOI: 10.1111/pedi.12542

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  19 in total

1.  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

2.  Islet autoantibody phenotypes and incidence in children at increased risk for type 1 diabetes.

Authors:  Eleni Z Giannopoulou; Christiane Winkler; Ruth Chmiel; Claudia Matzke; Marlon Scholz; Andreas Beyerlein; Peter Achenbach; Ezio Bonifacio; Anette-G Ziegler
Journal:  Diabetologia       Date:  2015-07-03       Impact factor: 10.122

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Authors:  Xin Zhang; Sharon Ing; Austin Fraser; Minzi Chen; Omar Khan; Jerald Zakem; William Davis; Robert Quinet
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4.  Combination of autoantibody markers and risk for development of type 1 diabetes: results from a large french cohort of family members.

Authors:  C Thivolet; M Nicolino; S Monbeig; B Estour; S Halimi; M Robert; J Orgiazzi; P Chatelain
Journal:  Diabetes Metab       Date:  2002-09       Impact factor: 6.041

5.  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

6.  Quantification of islet-cell antibodies and prediction of insulin-dependent diabetes.

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Journal:  Lancet       Date:  1990-01-20       Impact factor: 79.321

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.  Prognostic accuracy of immunologic and metabolic markers for type 1 diabetes in a high-risk population: receiver operating characteristic analysis.

Authors:  Ping Xu; Craig A Beam; David Cuthbertson; Jay M Sosenko; Jay S Skyler; Jeffrey P Krischer
Journal:  Diabetes Care       Date:  2012-07-11       Impact factor: 19.112

9.  A longitudinal study of GAD65 and ICA512 autoantibodies during the progression to type 1 diabetes in Diabetes Prevention Trial-Type 1 (DPT-1) participants.

Authors:  Jay M Sosenko; Jay S Skyler; Jerry P Palmer; Jeffrey P Krischer; David Cuthbertson; Liping Yu; Desmond A Schatz; Tihamer Orban; George Eisenbarth
Journal:  Diabetes Care       Date:  2011-09-12       Impact factor: 19.112

10.  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

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