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A diagnostic HIV-1 tropism system based on sequence relatedness
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4393101
Author(s) Edwards, Suzanne; Stucki, Heinz; Bader, Joëlle; Vidal, Vincent; Kaiser, Rolf; Battegay, Manuel; Klimkait, Thomas; Swiss, H. I. V. Cohort Study
Author(s) at UniBasel Klimkait, Thomas
Year 2015
Title A diagnostic HIV-1 tropism system based on sequence relatedness
Journal Journal of Clinical Microbiology
Volume 53
Number 2
Pages / Article-Number 597-610
Keywords Cohort Studies; Electrophoretic Mobility Shift Assay; Genotyping Techniques/*methods; HIV Infections/*diagnosis/*virology; HIV-1/*classification/genetics/*physiology; Heteroduplex Analysis; Humans; Nucleic Acid Hybridization; *Viral Tropism
Abstract Key clinical studies for HIV coreceptor antagonists have used the phenotyping-based Trofile test. Meanwhile various simpler-to-do genotypic tests have become available that are compatible with standard laboratory equipment and Web-based interpretation tools. However, these systems typically analyze only the most prominent virus sequence in a specimen. We present a new diagnostic HIV tropism test not needing DNA sequencing. The system, XTrack, uses physical properties of DNA duplexes after hybridization of single-stranded HIV-1 env V3 loop probes to the clinical specimen. Resulting "heteroduplexes" possess unique properties driven by sequence relatedness to the reference and resulting in a discrete electrophoretic mobility. A detailed optimization process identified diagnostic probe candidates relating best to a large number of HIV-1 sequences with known tropism. From over 500 V3 sequences representing all main HIV-1 subtypes (Los Alamos database), we obtained a small set of probes to determine the tropism in clinical samples. We found a high concordance with the commercial TrofileES test (84.9%) and the Web-based tool Geno2Pheno (83.0%). Moreover, the new system reveals mixed virus populations, and it was successful on specimens with low virus loads or on provirus from leukocytes. A replicative phenotyping system was used for validation. Our data show that the XTrack test is favorably suitable for routine diagnostics. It detects and dissects mixed virus populations and viral minorities; samples with viral loads (VL) of >200 copies/ml are successfully analyzed. We further expect that the principles of the platform can be adapted also to other sequence-divergent pathogens, such as hepatitis B and C viruses.
Publisher AMER SOC MICROBIOLOGY
ISSN/ISBN 1098-660X (Electronic) 0095-1137 (Linking)
URL https://www.ncbi.nlm.nih.gov/pubmed/25502529
edoc-URL https://edoc.unibas.ch/62192/
Full Text on edoc No
Digital Object Identifier DOI 10.1128/JCM.02762-14
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/25502529
ISI-Number WOS:000348568500031
Document type (ISI) Article
 
   

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