High-throughput multiplexed autoantibody detection to screen type 1 diabetes and multiple autoimmune diseases simultaneouslyResearch in context
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2019
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Abstract
Background: Islet autoantibodies (IAbs) are the most reliable biomarkers to assess risk of progression to clinical type 1 diabetes (T1D). There are four major biochemically defined IAbs currently used in clinical trials that are equally important for disease prediction. The current screening methods use a radio-binding assay (RBA) for single IAb measurement, which are laborious and inefficient for large-scale screening. More importantly, up to 40% of patients with T1D have other autoimmune conditions that can be identified through relevant autoantibody testing. Thus, there is a need to screen for T1D and other autoimmune diseases simultaneously. Methods: Based on our well-established electrochemiluminescence (ECL) assay platform, we developed a multiplexed ECL assay that combines 7 individual autoantibody assays together in one single well to simultaneously screen T1D, and three other autoimmune diseases including celiac disease, autoimmune thyroid disease and autoimmune poly-glandular syndrome-1 (APS-1). The 7-Plex ECL assay was extensively validated against single antibody measurements including a standard RBA and single ECL assay. Findings: The 7-Plex ECL assay was well correlated to each single ECL autoantibody assay and each RBA. Interpretation: The multiplexed ECL assay provides high sensitivity and disease specificity, along with high throughput and a low cost for large-scale screenings of T1D and other relevant autoimmune diseases in the general population. Fund: JDRF grants 2-SRA-2015-51-Q-R, 2-SRA-2018-533-S-B, NIH grants DK32083 and DK32493. NSFC grants 81770777. Keywords: Autoantibodies, Multiplex assay, Diabetes, Autoimmune diseases, Biomarker
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gu2019highthroughputebiomedicine
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| Authors | Gu, Yong;Zhao, Zhiyuan;Waugh, Kathleen;Miao, Dongmei;Jia, Xiaofan;Cheng, Jeremy;Michels, Aaron;Rewers, Marian;Yang, Tao;Yu, Liping; |
| Journal | ebiomedicine |
| Year | 2019 |
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