| Literature DB >> 26390856 |
Todd M Doran1, Jumpei Morimoto, Scott Simanski, Patrick J McEnaney, Thomas Kodadek.
Abstract
Autoantibodies raised against β cell antigens are the most reliable preclinical biomarkers for predicting the imminent onset of type 1 diabetes mellitus (T1DM). The most current detection platforms are technically challenging or are run on clinically esoteric equipment. Here, we present a straightforward approach to detect autoantibody biomarkers that employs highly PEGylated microspheres onto which are mounted various capture agents that include affinity-tagged antigens or small molecule "antigen surrogates." After incubation with small quantities of serum, the bound autoantibodies can be measured using a standard flow cytometer. By multiplexing this assay, we show that a panel of antigen and antigen surrogates reliably predicts hyperglycemia in a mouse model of diabetes without false positives.Entities:
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Year: 2015 PMID: 26390856 PMCID: PMC4605892 DOI: 10.1039/c5mb00521c
Source DB: PubMed Journal: Mol Biosyst ISSN: 1742-2051