Literature DB >> 11033022

A novel high-throughput method for accurate, rapid, and economical measurement of multiple type 1 diabetes autoantibodies.

W Woo1, J M LaGasse, Z Zhou, R Patel, J P Palmer, H Campus, W A Hagopian.   

Abstract

Prediction of Type 1 diabetes for study of preventive therapies requires screening the general population, where 85% of new cases occur. Even with HLA-based prescreening, nearly 20% of all children will need multiple serum autoantibody testings. High-throughput, economical, and accurate methods are therefore essential. We have developed such a radiobinding method, using 96-well microtiter plates and a novel immune complex capture method via membrane-bound Protein A. Each microtiter plate contained a standard negative control serum, and low-, medium-, and high-level positive control sera. All sera were evaluated in triplicate. This readily allowed quality control criteria both for triplicates of individual sera and for each 96-well plate. Inter-assay coefficients of variation (CVs) were all </=16%, while intra-assay CVs were all </=10%. The assay was found to be sensitive (to detect autoantibodies in patients) and specific (low reactivity in thousands of healthy volunteers). The format worked well using diverse antigens such as 35S-met-GAD65, 35S-met-ICA512/IA2, 35S-met-Phogrin, and 125I-insulin, and could be used for simultaneous screening of reactivity to both GAD65 and ICA512/IA2 in the same well. Diagnostic accuracy compared favorably with microcentrifuge tube-based Protein A-agarose GAD65 and IA2 autoantibody radiobinding assays and with acid-charcoal-polyethylene glycol (PEG) based competitive insulin autoantibody assays. In the case of 125I-insulin, comparing signal in the absence versus presence of cold insulin competitor was not necessary. Total serum volumes required were only 6 microl for GAD and ICA512, and only 15 microl for IAA. The method costs less than all other commonly used formats, and should be useful for population screening.

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Year:  2000        PMID: 11033022     DOI: 10.1016/s0022-1759(00)00259-3

Source DB:  PubMed          Journal:  J Immunol Methods        ISSN: 0022-1759            Impact factor:   2.303


  19 in total

1.  Insufficient sleep in young patients with diabetes and their families.

Authors:  Carmela L Estrada; Kirstie K Danielson; Melinda L Drum; Rebecca B Lipton
Journal:  Biol Res Nurs       Date:  2011-01-28       Impact factor: 2.522

Review 2.  Blood-based signatures in type 1 diabetes.

Authors:  Susanne M Cabrera; Yi-Guang Chen; William A Hagopian; Martin J Hessner
Journal:  Diabetologia       Date:  2015-12-23       Impact factor: 10.122

3.  Onset features and subsequent clinical evolution of childhood diabetes over several years.

Authors:  Rebecca B Lipton; Melinda L Drum; Kirstie K Danielson; Siri Aw Greeley; Graeme I Bell; William A Hagopian
Journal:  Pediatr Diabetes       Date:  2011-03-23       Impact factor: 4.866

4.  Relapsing and remitting severe hypoglycemia due to a monoclonal anti-insulin antibody heralding a case of multiple myeloma.

Authors:  F Waldron-Lynch; S E Inzucchi; L Menard; N Tai; P Preston-Hurlburt; P Hui; J McClaskey; W A Hagopian; E Meffre; P W Marks; L Wen; K C Herold
Journal:  J Clin Endocrinol Metab       Date:  2012-10-16       Impact factor: 5.958

5.  Association of a polymorphism in the betacellulin gene with type 1 diabetes mellitus in two populations.

Authors:  Kristi D Silver; Victoria L Magnuson; Magdalena Tolea; Jian Wang; William A Hagopian; Braxton D Mitchell
Journal:  J Mol Med (Berl)       Date:  2006-05-09       Impact factor: 4.599

6.  Six-year follow-up of pancreatic beta cell function in adults with latent autoimmune diabetes.

Authors:  Lin Yang; Zhi-Guang Zhou; Gan Huang; Ling-Li Ouyang; Xia Li; Xiang Yan
Journal:  World J Gastroenterol       Date:  2005-05-21       Impact factor: 5.742

7.  HLA-DQ haplotypes differ by ethnicity in patients with childhood-onset diabetes.

Authors:  Rebecca B Lipton; Melinda Drum; Siri Atma W Greeley; Kirstie K Danielson; Graeme I Bell; William A Hagopian
Journal:  Pediatr Diabetes       Date:  2011-03-21       Impact factor: 4.866

8.  Use of transcriptional signatures induced in lymphoid and myeloid cell lines as an inflammatory biomarker in Type 1 diabetes.

Authors:  Shuang Jia; Mary Kaldunski; Parthav Jailwala; Rhonda Geoffrey; Joanna Kramer; Xujing Wang; Martin J Hessner
Journal:  Physiol Genomics       Date:  2011-03-15       Impact factor: 3.107

9.  Dynamic changes in CD4+ CD25+(high) T cell apoptosis after the diagnosis of type 1 diabetes.

Authors:  S Glisic-Milosavljevic; T Wang; M Koppen; J Kramer; S Ehlenbach; J Waukau; P Jailwala; S Jana; R Alemzadeh; S Ghosh
Journal:  Clin Exp Immunol       Date:  2007-08-17       Impact factor: 4.330

10.  Insulin-Like Growth Factor Dysregulation Both Preceding and Following Type 1 Diabetes Diagnosis.

Authors:  Melanie R Shapiro; Clive H Wasserfall; Sean M McGrail; Amanda L Posgai; Rhonda Bacher; Andrew Muir; Michael J Haller; Desmond A Schatz; Johnna D Wesley; Matthias von Herrath; William A Hagopian; Cate Speake; Mark A Atkinson; Todd M Brusko
Journal:  Diabetes       Date:  2019-12-11       Impact factor: 9.461

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