Literature DB >> 22132886

'Insulin autoantibody affinity measurement using a single concentration of unlabelled insulin competitor discriminates risk in relatives of patients with type 1 diabetes.

R M Curnock1, C R Reed, S Rokni, J W Broadhurst, P J Bingley, A J K Williams.   

Abstract

Development of high-risk combinations of multiple islet autoantibodies and type 1 diabetes is associated with high-affinity insulin autoantibodies (IAA), but IAA affinity measurements require large serum volumes. We therefore investigated whether a simplified method of IAA affinity measurement using a low concentration of unlabelled insulin (ULI) competitor discriminated between moderate-high- and low-affinity IAA and identified individuals at highest risk of disease. Samples were assayed by radiobinding microassay using high (4·0 × 10(-5) mol/l) and low (7 × 10(-9) mol/l) ULI concentrations for competitive displacement in three cohorts of IAA-positive individuals; (1) 68 patients with newly-diagnosed type 1 diabetes; (2) 40 healthy schoolchildren; and (3) 114 relatives of patients with type 1 diabetes followed prospectively for disease development (median follow-up 13 years). IAA results obtained with low ULI were expressed as a percentage of those obtained with high ULI and this was used to classify samples as low or moderate-high affinity (0-50% and >50%, respectively). Sixty-eight patient samples were positive with high and 67 (99%) with low ULI. Forty schoolchildren were IAA-positive with high and 22 (55%) with low ULI (P < 0·001). Of the relatives, 113 were positive with high and 83 (73%) with low ULI (P < 0·001). In relatives, moderate-high affinity IAA were associated with multiple islet antibodies (P < 0·001) and greater diabetes risk than low affinity IAA (P < 0·001). A single low concentration of ULI competitor can act as a surrogate for complex IAA affinity measurements and identifies those IAA-positive relatives at highest risk of disease progression.
© 2011 The Authors. Clinical and Experimental Immunology © 2011 British Society for Immunology.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22132886      PMCID: PMC3248088          DOI: 10.1111/j.1365-2249.2011.04495.x

Source DB:  PubMed          Journal:  Clin Exp Immunol        ISSN: 0009-9104            Impact factor:   4.330


  17 in total

1.  A simplified method to assess affinity of insulin autoantibodies.

Authors:  Peter Achenbach; Liang-Hao Guo; Claudia Gick; Kerstin Adler; Stephanie Krause; Ezio Bonifacio; Peter G Colman; Anette-G Ziegler
Journal:  Clin Immunol       Date:  2010-12       Impact factor: 3.969

2.  Prediction of IDDM in the general population: strategies based on combinations of autoantibody markers.

Authors:  P J Bingley; E Bonifacio; A J Williams; S Genovese; G F Bottazzo; E A Gale
Journal:  Diabetes       Date:  1997-11       Impact factor: 9.461

3.  A novel micro-assay for insulin autoantibodies.

Authors:  A J Williams; P J Bingley; E Bonifacio; J P Palmer; E A Gale
Journal:  J Autoimmun       Date:  1997-10       Impact factor: 7.094

4.  Anti-BSA antibodies are a major cause of non-specific binding in insulin autoantibody radiobinding assays.

Authors:  Alistair J K Williams; Rachel Curnock; Charles R Reed; Peter Easton; Saba Rokni; Polly J Bingley
Journal:  J Immunol Methods       Date:  2010-09-09       Impact factor: 2.303

5.  Insulin autoantibodies measured by radioimmunoassay methodology are more related to insulin-dependent diabetes mellitus than those measured by enzyme-linked immunosorbent assay: results of the Fourth International Workshop on the Standardization of Insulin Autoantibody Measurement.

Authors:  C J Greenbaum; J P Palmer; B Kuglin; H Kolb
Journal:  J Clin Endocrinol Metab       Date:  1992-05       Impact factor: 5.958

6.  Autoantibody appearance and risk for development of childhood diabetes in offspring of parents with type 1 diabetes: the 2-year analysis of the German BABYDIAB Study.

Authors:  A G Ziegler; M Hummel; M Schenker; E Bonifacio
Journal:  Diabetes       Date:  1999-03       Impact factor: 9.461

7.  GAD autoantibody affinity and epitope specificity identify distinct immunization profiles in children at risk for type 1 diabetes.

Authors:  Anja Mayr; Michael Schlosser; Natalie Grober; Heidrun Kenk; Anette G Ziegler; Ezio Bonifacio; Peter Achenbach
Journal:  Diabetes       Date:  2007-02-26       Impact factor: 9.461

8.  Autoimmunity to insulin, beta cell dysfunction, and development of insulin-dependent diabetes mellitus.

Authors:  S Srikanta; A T Ricker; D K McCulloch; J S Soeldner; G S Eisenbarth; J P Palmer
Journal:  Diabetes       Date:  1986-02       Impact factor: 9.461

9.  Role of insulin autoantibody affinity as a predictive marker for type 1 diabetes in young children with HLA-conferred disease susceptibility.

Authors:  Heli Siljander; Taina Härkönen; Robert Hermann; Satu Simell; Anne Hekkala; Riikka-Tiina Salonsaari; Tuula Simell; Olli Simell; Jorma Ilonen; Riitta Veijola; Mikael Knip
Journal:  Diabetes Metab Res Rev       Date:  2009-10       Impact factor: 4.876

10.  Comparison of a novel micro-assay for insulin autoantibodies with the conventional radiobinding assay.

Authors:  H E Naserke; N Dozio; A G Ziegler; E Bonifacio
Journal:  Diabetologia       Date:  1998-06       Impact factor: 10.122

View more
  10 in total

1.  Electrochemiluminescence assays for insulin and glutamic acid decarboxylase autoantibodies improve prediction of type 1 diabetes risk.

Authors:  Dongmei Miao; Andrea K Steck; Li Zhang; K Michelle Guyer; Ling Jiang; Taylor Armstrong; Sarah M Muller; Jeffrey Krischer; Marian Rewers; Liping Yu
Journal:  Diabetes Technol Ther       Date:  2015-01-06       Impact factor: 6.118

2.  GAD autoantibody affinity in schoolchildren from the general population.

Authors:  Christine Bender; Michael Schlosser; Urs Christen; Anette G Ziegler; Peter Achenbach
Journal:  Diabetologia       Date:  2014-06-18       Impact factor: 10.122

Review 3.  CD4 T cell differentiation in type 1 diabetes.

Authors:  L S K Walker; M von Herrath
Journal:  Clin Exp Immunol       Date:  2015-07-28       Impact factor: 4.330

Review 4.  Progress in immune-based therapies for type 1 diabetes.

Authors:  M von Herrath; M Peakman; B Roep
Journal:  Clin Exp Immunol       Date:  2013-05       Impact factor: 4.330

5.  Detection of Antibodies Directed to the N-Terminal Region of GAD Is Dependent on Assay Format and Contributes to Differences in the Specificity of GAD Autoantibody Assays for Type 1 Diabetes.

Authors:  Alistair J K Williams; Vito Lampasona; Michael Schlosser; Patricia W Mueller; David L Pittman; William E Winter; Beena Akolkar; Rebecca Wyatt; Cristina Brigatti; Stephanie Krause; Peter Achenbach
Journal:  Diabetes       Date:  2015-05-13       Impact factor: 9.461

Review 6.  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

7.  Glutamic Acid Decarboxylase Autoantibody Detection by Electrochemiluminescence Assay Identifies Latent Autoimmune Diabetes in Adults with Poor Islet Function.

Authors:  Yuxiao Zhu; Li Qian; Qing Liu; Jing Zou; Ying Zhou; Tao Yang; Gan Huang; Zhiguang Zhou; Yu Liu
Journal:  Diabetes Metab J       Date:  2019-11-12       Impact factor: 5.376

8.  GAD65 autoantibodies detected by electrochemiluminescence assay identify high risk for type 1 diabetes.

Authors:  Dongmei Miao; K Michelle Guyer; Fran Dong; Ling Jiang; Andrea K Steck; Marian Rewers; George S Eisenbarth; Liping Yu
Journal:  Diabetes       Date:  2013-08-23       Impact factor: 9.461

9.  Assessment and Management of Anti-Insulin Autoantibodies in Varying Presentations of Insulin Autoimmune Syndrome.

Authors:  David Church; Luís Cardoso; Richard G Kay; Claire L Williams; Bernard Freudenthal; Catriona Clarke; Julie Harris; Myuri Moorthy; Efthmia Karra; Fiona M Gribble; Frank Reimann; Keith Burling; Alistair J K Williams; Alia Munir; T Hugh Jones; Dagmar Führer; Lars C Moeller; Mark Cohen; Bernard Khoo; David Halsall; Robert K Semple
Journal:  J Clin Endocrinol Metab       Date:  2018-10-01       Impact factor: 5.958

10.  High-affinity ZnT8 Autoantibodies by Electrochemiluminescence Assay Improve Risk Prediction for Type 1 Diabetes.

Authors:  Xiaofan Jia; Ling He; Dongmei Miao; Kathleen Waugh; Cristy Geno Rasmussen; Fran Dong; Andrea K Steck; Marian Rewers; Liping Yu
Journal:  J Clin Endocrinol Metab       Date:  2021-11-19       Impact factor: 5.958

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.