Literature DB >> 26575693

High sensitivity detection of HIV-1 using two genomic targets compared with single target PCR.

Krishna Shah1,2, Viswanath Ragupathy1, Anusha Saga3, Indira Hewlett1.   

Abstract

The genetic diversity of Human Immunodeficiency Virus type-1(HIV-1) has been shown to affect the performance of Nucleic Acid Testing (NAT) of Human Immunodeficiency Virus type-1. Although, majority NAT assays were designed to detect the conserved regions of HIV-1 mutations at the primer or probe binding regions may lead to false negatives. In this study, we evaluated the feasibility of detecting two genomic targets for enhanced sensitivity. A total of 180 tests using HIV-1 VQA RNA quantitation standard, 240 tests using EQAPOL HIV-1 viral diversity subtype panel, and 30 clinical plasma samples from Cameroon were evaluated. The analysis was based on probit and hit rate. The genomic targets LOD estimated by PROBIT for the gag target was 118 cps/ml (95%CI 64 cps/ml lower bound), Pol or POL/LTR was at 40 cps/ml (95%CI 17, 16 cps/ml), LTR 45 cps/ml (95%CI 20 cps/ml lower bound), and Gag/LTR at 67.8 cps/ml (95%CI 32 cps/ml lower bound). For HIV-1 subtypes the overall reactivity was 55-100% when tested at 100 and 1000 cps/ml and combination of genomic targets detection increased the reactivity to 100%. The plasma samples evaluation showed LTR or pol/LTR combination yielded higher sensitivity for patients with lower viral load (<40 cps/ml). We conclude that detection of two HIV-1 genomic targets improved sensitivity for detection of genetically diverse HIV-1 strains.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  HIV NAT assay; dual target; false negative; primer probe mis match; sensitivity

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Year:  2015        PMID: 26575693     DOI: 10.1002/jmv.24431

Source DB:  PubMed          Journal:  J Med Virol        ISSN: 0146-6615            Impact factor:   2.327


  2 in total

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2.  Real-time PCR assays for hepatitis B virus DNA quantification may require two different targets.

Authors:  Chao Liu; Le Chang; Tingting Jia; Fei Guo; Lu Zhang; Huimin Ji; Junpeng Zhao; Lunan Wang
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  2 in total

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