Literature DB >> 27552135

3 Screen ELISA for High-Throughput Detection of Beta Cell Autoantibodies in Capillary Blood.

Anette-G Ziegler1,2, Florian Haupt1, Marlon Scholz1, Katharina Weininger1, Susanne Wittich1, Stephanie Löbner1, Claudia Matzke1, Cigdem Gezginci1, Stephanie Riethausen1, Andreas Beyerlein1, Stephanie Zillmer1, Marie Amoroso3, Rebecca Coles3, Michael Powell3, Jadwiga Furmaniak3, Bernard Rees Smith3, Christiane Winkler1,2, Ezio Bonifacio4,5, Peter Achenbach1,2.   

Abstract

BACKGROUND: Testing for beta cell autoantibodies is used for wide-scale identification of early stages of type 1 diabetes. This requires suitable screening assays. We aimed to establish screening that utilized a first step assay (3 Screen) able to detect autoantibodies to the target antigens glutamic acid decarboxylase-65 (GAD), insulinoma-associated antigen 2 (IA-2), and zinc transporter 8 (ZnT8) to identify children positive for multiple beta cell autoantibodies.
METHODS: An ELISA format was used where plates were coated with a mixture of recombinant GAD, IA-2, and ZnT8325W/R-dimer molecules. The performance was determined in venous blood from 686 first-degree relatives of patients with type 1 diabetes, and 200 patients at onset of type 1 diabetes, and applied as a screening assay in capillary blood from 33,639 general population children.
RESULTS: The 3 Screen assay sensitivity for detecting autoantibody-positive patients at onset of type 1 diabetes was similar to that achieved by separate radiobinding assays (RBAs) for antibodies to GAD, IA-2, and ZnT8. Results in venous and capillary serum were correlated (R = 0.987). At a threshold corresponding to the 98th centile (29.1 U/mL) of all 33,639 capillary samples, the 3 Screen was positive in 123 samples with two or more RBA-positive antibodies to insulin, GAD, IA-2, or ZnT8, 146 with one antibody, and 479 that were RBA negative for beta cell autoantibodies.
CONCLUSION: A 3 Screen ELISA was developed that was suitable for first step screening of multiple beta cell autoantibodies in capillary blood.

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Year:  2016        PMID: 27552135     DOI: 10.1089/dia.2016.0199

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


  8 in total

Review 1.  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

2.  Use of self-collected capillary blood samples for islet autoantibody screening in relatives: a feasibility and acceptability study.

Authors:  Y Liu; L E Rafkin; D Matheson; C Henderson; D Boulware; R E J Besser; C Ferrara; L Yu; A K Steck; P J Bingley
Journal:  Diabet Med       Date:  2017-03-08       Impact factor: 4.359

3.  Progression likelihood score identifies substages of presymptomatic type 1 diabetes in childhood public health screening.

Authors:  Andreas Weiss; Jose Zapardiel-Gonzalo; Franziska Voss; Manja Jolink; Joanna Stock; Florian Haupt; Kerstin Kick; Tiziana Welzhofer; Anja Heublein; Christiane Winkler; Peter Achenbach; Anette-Gabriele Ziegler; Ezio Bonifacio
Journal:  Diabetologia       Date:  2022-08-27       Impact factor: 10.460

4.  High-Throughput Multiplex Electrochemiluminescence Assay Applicable to General Population Screening for Type 1 Diabetes and Celiac Disease.

Authors:  Ling He; Xiaofan Jia; Cristy Geno Rasmussen; Kathleen Waugh; Dongmei Miao; Fran Dong; Brigitte Frohnert; Andrea K Steck; Kimber M Simmons; Marian Rewers; Liping Yu
Journal:  Diabetes Technol Ther       Date:  2022-05-25       Impact factor: 7.337

5.  Difference between beta1-adrenoceptor autoantibodies of human and animal origin-Limitations detecting beta1-adrenoceptor autoantibodies using peptide based ELISA technology.

Authors:  Katrin Wenzel; Sarah Schulze-Rothe; Johannes Müller; Gerd Wallukat; Annekathrin Haberland
Journal:  PLoS One       Date:  2018-02-09       Impact factor: 3.240

6.  Autoantibodies against zinc transporter 8 are related to age and metabolic state in patients with newly diagnosed autoimmune diabetes.

Authors:  Elżbieta Niechciał; Anita Rogowicz-Frontczak; Stanisław Piłaciński; Marta Fichna; Bogda Skowrońska; Piotr Fichna; Dorota Zozulińska-Ziółkiewicz
Journal:  Acta Diabetol       Date:  2018-01-11       Impact factor: 4.280

7.  High-throughput multiplexed autoantibody detection to screen type 1 diabetes and multiple autoimmune diseases simultaneously.

Authors:  Yong Gu; Zhiyuan Zhao; Kathleen Waugh; Dongmei Miao; Xiaofan Jia; Jeremy Cheng; Aaron Michels; Marian Rewers; Tao Yang; Liping Yu
Journal:  EBioMedicine       Date:  2019-08-22       Impact factor: 8.143

Review 8.  Birth and coming of age of islet autoantibodies.

Authors:  E Bonifacio; P Achenbach
Journal:  Clin Exp Immunol       Date:  2019-09-12       Impact factor: 4.330

  8 in total

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