@article{Sullivan2014-07-17Ident-41305,
  year={2014},
  doi={10.1371/journal.pntd.0002976},
  title={Identification of sVSG117 as an Immunodiagnostic Antigen and Evaluation of a Dual-Antigen Lateral Flow Test for the Diagnosis of Human African Trypanosomiasis},
  number={7},
  volume={8},
  issn={1935-2727},
  journal={PLoS Neglected Tropical Diseases},
  author={Sullivan, Lauren and Fleming, Jennifer S. and Sastry, Lalitha and Mehlert, Angela and Wall, Steven J. and Ferguson, Michael A. J.},
  note={Article Number: e2976}
}

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    <dcterms:title>Identification of sVSG117 as an Immunodiagnostic Antigen and Evaluation of a Dual-Antigen Lateral Flow Test for the Diagnosis of Human African Trypanosomiasis</dcterms:title>
    <dc:creator>Fleming, Jennifer S.</dc:creator>
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    <dc:language>eng</dc:language>
    <dc:creator>Wall, Steven J.</dc:creator>
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    <dcterms:abstract xml:lang="eng">Human African Trypanosomiasis (HAT) is caused by infection with Trypanosoma brucei gambiense or T. b. rhodesiense. The diagnosis of T. b. gambiense infections currently relies primarily on a Card Agglutination Test for Trypanosomiasis (CATT), which has acknowledged limitations, and there is no simple test for T. b. rhodesiense infection. Our overall aim is to produce a simple lateral flow test device with a similar or better sensitivity and specificity than CATT but with better stability and ease of use at point of care. In this study, we identified a particular variant surface glycoprotein, sVSG117, with good diagnostic potential and combined it with a previously identified recombinant diagnostic antigen, rISG65, to produce a prototype dual-antigen lateral flow test. We performed a virtual field trial by testing the device blind with 431 randomized serum samples provided by the WHO HAT Specimen Biobank. The results show that, although the prototype lateral flow test is un-optimized, it was able to diagnose T. b. gambiense HAT with a sensitivity and specificity of 97.3% and 83.3% and T. b. rhodesiense HAT with a sensitivity and specificity of 83.9% and 85.3%.</dcterms:abstract>
    <dc:contributor>Mehlert, Angela</dc:contributor>
    <dc:contributor>Ferguson, Michael A. J.</dc:contributor>
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    <dc:contributor>Sullivan, Lauren</dc:contributor>
    <dc:creator>Mehlert, Angela</dc:creator>
    <dc:rights>Attribution 4.0 International</dc:rights>
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    <dc:contributor>Wall, Steven J.</dc:contributor>
    <dc:creator>Sullivan, Lauren</dc:creator>
    <dc:creator>Sastry, Lalitha</dc:creator>
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    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/41305"/>
    <dc:creator>Ferguson, Michael A. J.</dc:creator>
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    <dc:contributor>Sastry, Lalitha</dc:contributor>
    <dc:contributor>Fleming, Jennifer S.</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2018-02-13T13:10:14Z</dc:date>
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    <dcterms:issued>2014-07-17</dcterms:issued>
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