EBioMedicine (Sep 2019)

High-throughput multiplexed autoantibody detection to screen type 1 diabetes and multiple autoimmune diseases simultaneouslyResearch in context

  • Yong Gu,
  • Zhiyuan Zhao,
  • Kathleen Waugh,
  • Dongmei Miao,
  • Xiaofan Jia,
  • Jeremy Cheng,
  • Aaron Michels,
  • Marian Rewers,
  • Tao Yang,
  • Liping Yu

Journal volume & issue
Vol. 47
pp. 365 – 372

Abstract

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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