Literature DB >> 28177779

The Use of Electrochemiluminescence Assays to Predict Autoantibody and Glycemic Progression Toward Type 1 Diabetes in Individuals with Single Autoantibodies.

Jay M Sosenko1, Liping Yu2, Jay S Skyler1, Jeffrey P Krischer3, Peter A Gottlieb2, David Boulware3, Dongmei Miao2, Jerry P Palmer4, Andrea K Steck2.   

Abstract

BACKGROUND: Electrochemiluminescence (ECL) assays have shown promise for enhancing the prediction of type 1 diabetes (T1D) with autoantibodies. We thus studied relatives of T1D patients to determine whether ECL assays can be used to refine risk assessments for T1D among individuals either positive for single GADA or single mIAA autoantibodies. SUBJECTS AND METHODS: TrialNet Pathway to Prevention (PTP) study participants with either GADA or mIAA single autoantibodies were tested for ECL positivity during their participation in the TrialNet PTP study. Those ECL positive (ECL+) were compared with those ECL negative (ECL-) for conversion to multiple autoantibodies, 6-month glycemic progression (PS6M), and the progression to T1D.
RESULTS: The progression to multiple autoantibodies was significantly higher for those GADA/ECL+ (n = 107) than those GADA/ECL- (n = 78) (P = 0.001) and for those mIAA/ECL+ (n = 24) than those mIAA/ECL- (n = 63) (P < 0.001). The hazard ratios with 95% confidence intervals were 3.42 (1.58-7.39; P < 0.01) for GADA and 8.15 (3.02-22.00; P < 0.001) for mIAA. GADA/ECL+ and mIAA/ECL+ participants had significantly higher PS6M values than their ECL- counterparts (P = 0.001 for GADA and P = 0.009 for mIAA). Of those GADA/ECL+, 14% progressed to T1D; of those mIAA/ECL+, 17% progressed to T1D. Only 1 individual (positive for GADA) of the 141 who was ECL- progressed to T1D (median follow-up: 5 years).
CONCLUSION: ECL measurements appear to have utility for natural history studies and prevention trials of individuals with single autoantibodies. Those ECL+ are at appreciable risk for developing multiple autoantibodies and for glycemic progression toward T1D, whereas those ECL- are at very low risk.

Entities:  

Keywords:  Autoantibodies; Hyperglycemia; Pediatrics; Type 1 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28177779      PMCID: PMC5359659          DOI: 10.1089/dia.2016.0243

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  14 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.  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

3.  ECL-IAA and ECL-GADA Can Identify High-Risk Single Autoantibody-Positive Relatives in the TrialNet Pathway to Prevention Study.

Authors:  Andrea K Steck; Alexandra Fouts; Dongmei Miao; Zhiyuan Zhao; Fran Dong; Jay Sosenko; Peter Gottlieb; Marian J Rewers; Liping Yu
Journal:  Diabetes Technol Ther       Date:  2016-03-18       Impact factor: 6.118

4.  The development and utility of a novel scale that quantifies the glycemic progression toward type 1 diabetes over 6 months.

Authors:  Jay M Sosenko; Jay S Skyler; Craig A Beam; David Boulware; Jeffrey L Mahon; Jeffrey P Krischer; Carla J Greenbaum; Lisa E Rafkin; Della Matheson; Kevan C Herold; Jerry P Palmer
Journal:  Diabetes Care       Date:  2015-03-10       Impact factor: 19.112

5.  In insulin-autoantibody-positive children from the general population, antibody affinity identifies those at high and low risk.

Authors:  M Schlosser; K Koczwara; H Kenk; M Strebelow; I Rjasanowski; R Wassmuth; P Achenbach; A-G Ziegler; E Bonifacio
Journal:  Diabetologia       Date:  2005-07-12       Impact factor: 10.122

6.  Early expression of antiinsulin autoantibodies of humans and the NOD mouse: evidence for early determination of subsequent diabetes.

Authors:  L Yu; D T Robles; N Abiru; P Kaur; M Rewers; K Kelemen; G S Eisenbarth
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-15       Impact factor: 11.205

7.  The cation efflux transporter ZnT8 (Slc30A8) is a major autoantigen in human type 1 diabetes.

Authors:  Janet M Wenzlau; Kirstine Juhl; Liping Yu; Ong Moua; Suparna A Sarkar; Peter Gottlieb; Marian Rewers; George S Eisenbarth; Jan Jensen; Howard W Davidson; John C Hutton
Journal:  Proc Natl Acad Sci U S A       Date:  2007-10-17       Impact factor: 11.205

8.  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

9.  Distinguishing persistent insulin autoantibodies with differential risk: nonradioactive bivalent proinsulin/insulin autoantibody assay.

Authors:  Liping Yu; Dongmei Miao; Laura Scrimgeour; Kelly Johnson; Marian Rewers; George S Eisenbarth
Journal:  Diabetes       Date:  2011-11-28       Impact factor: 9.461

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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  12 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.  Immune Mechanisms and Pathways Targeted in Type 1 Diabetes.

Authors:  Laura M Jacobsen; Brittney N Newby; Daniel J Perry; Amanda L Posgai; Michael J Haller; Todd M Brusko
Journal:  Curr Diab Rep       Date:  2018-08-30       Impact factor: 4.810

Review 3.  T1D Autoantibodies: room for improvement?

Authors:  Liping Yu; Zhiyuan Zhao; Andrea K Steck
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-08       Impact factor: 3.243

4.  Islet Autoantibody Detection by Electrochemiluminescence (ECL) Assay.

Authors:  Liping Yu
Journal:  Methods Mol Biol       Date:  2016

5.  Proteoliposome-based full-length ZnT8 self-antigen for type 1 diabetes diagnosis on a plasmonic platform.

Authors:  Hao Wan; Chengfeng Merriman; Mark A Atkinson; Clive H Wasserfall; Kieran M Mcgrail; Yongye Liang; Dax Fu; Hongjie Dai
Journal:  Proc Natl Acad Sci U S A       Date:  2017-09-05       Impact factor: 11.205

Review 6.  B cells in type 1 diabetes mellitus and diabetic kidney disease.

Authors:  Mia J Smith; Kimber M Simmons; John C Cambier
Journal:  Nat Rev Nephrol       Date:  2017-10-17       Impact factor: 28.314

Review 7.  Endotypes in T1D: B lymphocytes and early onset.

Authors:  Mia J Smith; John C Cambier; Peter A Gottlieb
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2020-08       Impact factor: 3.243

8.  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

Review 9.  Islet autoantibodies in disease prediction and pathogenesis.

Authors:  Xiaofan Jia; Yong Gu; Hilary High; Liping Yu
Journal:  Diabetol Int       Date:  2019-10-16

10.  Islet Autoantibody Detection by Electrochemiluminescence (ECL) Assay.

Authors:  Yong Gu; Zhiyuan Zhao; Hilary High; Tao Yang; Liping Yu
Journal:  J Clin Cell Immunol       Date:  2017-12-11
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