Literature DB >> 27983956

Increasing the accuracy and scalability of the Immunofluorescence Assay for Epstein Barr Virus by inferring continuous titers from a single sample dilution.

Sherry Meow Peng Goh1, Muthukaruppan Swaminathan2, Julian U-Ming Lai1, Azlinda Anwar1, Soh Ha Chan3, Ian Cheong4.   

Abstract

High Epstein Barr Virus (EBV) titers detected by the indirect Immunofluorescence Assay (IFA) are a reliable predictor of Nasopharyngeal Carcinoma (NPC). Despite being the gold standard for serological detection of NPC, the IFA is limited by scaling bottlenecks. Specifically, 5 serial dilutions of each patient sample must be prepared and visually matched by an evaluator to one of 5 discrete titers. Here, we describe a simple method for inferring continuous EBV titers from IFA images acquired from NPC-positive patient sera using only a single sample dilution. In the first part of our study, 2 blinded evaluators used a set of reference titer standards to perform independent re-evaluations of historical samples with known titers. Besides exhibiting high inter-evaluator agreement, both evaluators were also in high concordance with historical titers, thus validating the accuracy of the reference titer standards. In the second part of the study, the reference titer standards were IFA-processed and assigned an 'EBV Score' using image analysis. A log-linear relationship between titers and EBV Score was observed. This relationship was preserved even when images were acquired and analyzed 3days post-IFA. We conclude that image analysis of IFA-processed samples can be used to infer a continuous EBV titer with just a single dilution of NPC-positive patient sera. This work opens new possibilities for improving the accuracy and scalability of IFA in the context of clinical screening.
Copyright © 2016. Published by Elsevier B.V.

Entities:  

Keywords:  Epstein-Barr Virus; Image analysis; Immunofluorescence; Nasopharyngeal cancer

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Year:  2016        PMID: 27983956     DOI: 10.1016/j.jim.2016.10.007

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


  1 in total

1.  The Epstein Barr virus circRNAome.

Authors:  Nathan Ungerleider; Monica Concha; Zhen Lin; Claire Roberts; Xia Wang; Subing Cao; Melody Baddoo; Walter N Moss; Yi Yu; Michael Seddon; Terri Lehman; Scott Tibbetts; Rolf Renne; Yan Dong; Erik K Flemington
Journal:  PLoS Pathog       Date:  2018-08-06       Impact factor: 6.823

  1 in total

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