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A New Real-Time Quantitative PCR for Diagnosis and Monitoring of HIV-1 Group O Infection
Author(s) -
Marie Gueudin,
Marie Leoz,
Véronique Lemee,
Fabienne De Oliveira,
Aurélia Vessière,
Anfumbom Kfutwah,
JeanChristophe Plantier
Publication year - 2011
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.05669-11
Subject(s) - repeatability , reproducibility , human immunodeficiency virus (hiv) , biology , reverse transcriptase , real time polymerase chain reaction , virology , viral load , microbiology and biotechnology , rna , genetics , chromatography , gene , chemistry
The correct diagnosis and monitoring of HIV-1 group O (HIV-O) infection are essential for appropriate patient management, for the prevention of mother-to-child transmission, and for the detection of dual HIV-M/HIV-O infections. HIV-O RNA quantification is currently possible with two commercial kits (from Abbott and Roche), which quantify HIV-M and HIV-O strains indifferently; therefore, they cannot be used for the specific identification of HIV-O infection. We designed a new real-time quantitative reverse transcription PCR (RT-qPCR assay) (INT-O), which we compared with our previous version, LTR-O, and with the Abbott RealTime HIV-1 kit. Specificity was assessed with 27 HIV-1 group M strains and the prototype strain of group P. Clinical performances were analyzed by using 198 stored plasma samples, representative of HIV-O genetic diversity. Analytical sensitivity, repeatability, and reproducibility were also determined. The detection limit of the INT-O assay was 40 copies/ml, and its specificity was 100%. The repeatability and reproducibility were excellent. Analysis of clinical samples showed a good correlation between the INT-O and LTR-O assays (r = 0.8240), with an improvement of analytical sensitivity. A good correlation was also obtained between the INT-O and Abbott assays (r = 0.8599) but with significantly higher values (0.19 logs) for the INT-O method, due to marked underquantifications for some patients. These results showed that HIV-O genetic diversity still has an impact on RNA quantification. The new assay, INT-O, allows both the specific diagnosis of HIV-O infection and the quantification of diverse HIV-O strains. Its detection limit is equivalent to that of commercial kits. This assay is cheap and suitable for use in areas in which strains of HIV-1 groups M and O cocirculate.

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