Literature DB >> 22010208

Evaluation of genotypic tropism prediction tests compared with in vitro co-receptor usage in HIV-1 primary isolates of diverse subtypes.

Elena Delgado1, Aurora Fernández-García, Yolanda Vega, Teresa Cuevas, Milagros Pinilla, Valentina García, Mónica Sánchez, María González, Ana María Sánchez, Michael M Thomson, Lucía Pérez-Álvarez.   

Abstract

OBJECTIVES: To evaluate the sensitivity and specificity of genotypic methods for predicting the co-receptor usage of subtypes B and non-B HIV-1 primary isolates, using as gold standard the infectivity of each primary isolate in GHOST cells stably expressing HIV-1 co-receptors.
METHODS: Primary isolates were obtained by co-culturing either patient's peripheral blood mononuclear cells (PBMCs) or ultracentrifuged plasma with donor-activated PBMCs. In vitro co-receptor usage was determined by infecting GHOST cells. Tropism prediction, based on V3 sequences, was determined with simple rules and bioinformatic tools (Geno2pheno[coreceptor] and WebPSSM).
RESULTS: This study includes 102 HIV-1 primary isolates; 23 (22.5%) subtype B and 79 (77.5%) non-B genetic forms. V3 sequences were classified into six subtypes (A-G), although 32 (31.4%) were circulating recombinant forms and 21 (20.6%) were unique recombinant forms. Sixty-nine isolates were R5, 27 R5X4 and 6 X4. The highest levels of sensitivity and specificity for the detection of X4 strains among V3 sequences, between 91% and 100%, were obtained by using PSSM(x4r5), PSSM(si/nsi) and the 11/25 rule for sequences of subtypes A, B and G, but not for subtype F. Establishing the recommended cut-off for clinical settings of a 10% false positive rate for Geno2pheno, we obtained 93% specificity and 97% sensitivity.
CONCLUSIONS: Comparing genotypic assays for HIV-1 co-receptor use with a cell-culture phenotypic assay could provide more reliable results of sensitivity and specificity for the detection of X4 strains than comparing them with recombinant assays, considered as gold standard. In general, except for subtype F isolates, there is a good correlation for tropism prediction.

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Year:  2011        PMID: 22010208     DOI: 10.1093/jac/dkr438

Source DB:  PubMed          Journal:  J Antimicrob Chemother        ISSN: 0305-7453            Impact factor:   5.790


  19 in total

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2.  On the Physicochemical and Structural Modifications Associated with HIV-1 Subtype B Tropism Transition.

Authors:  Susanna L Lamers; Gary B Fogel; Enoch S Liu; Marco Salemi; Michael S McGrath
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Journal:  J Immunol Methods       Date:  2014-01-19       Impact factor: 2.303

4.  Frequency of coreceptor tropism in PBMC samples from HIV-1 recently infected blood donors by massively parallel sequencing: the REDS II study.

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5.  Genotypic prediction of HIV-1 CRF01-AE tropism.

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6.  Profile of HIV type 1 coreceptor tropism among Kenyan patients from 2009 to 2010.

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7.  Identification of dual-tropic HIV-1 using evolved neural networks.

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Authors:  Franco A Moretti; Manuel Gómez-Carrillo; Jorge F Quarleri
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9.  Phenotypic and Genotypic Co-receptor Tropism Testing in HIV-1 Epidemic Region of Tanzania Where Multiple Non-B Subtypes Co-circulate.

Authors:  George P Judicate; Godfrey Barabona; Doreen Kamori; Macdonald Mahiti; Toong Seng Tan; Seiya Ozono; Amina Shaban Mgunya; Takeo Kuwata; Shuzo Matsushita; Bruno Sunguya; Eligius Lyamuya; Kenzo Tokunaga; Takamasa Ueno
Journal:  Front Microbiol       Date:  2021-07-07       Impact factor: 5.640

10.  High prevalence of CXCR4 usage among treatment-naive CRF01_AE and CRF51_01B-infected HIV-1 subjects in Singapore.

Authors:  Kah Ying Ng; Kuan Kiat Chew; Palvinder Kaur; Joe Yap Kwan; Wei Xin Khong; Li Lin; Arlene Chua; Mei Ting Tan; Thomas C Quinn; Oliver Laeyendecker; Yee Sin Leo; Oon Tek Ng
Journal:  BMC Infect Dis       Date:  2013-02-19       Impact factor: 3.090

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