Literature DB >> 19339953

Current tests to evaluate HIV-1 coreceptor tropism.

Justine D Rose1, Ariel M Rhea, Jan Weber, Miguel E Quiñones-Mateu.   

Abstract

PURPOSE OF REVIEW: HIV-1 entry into target cells is a complex multistage process involving the envelope glycoprotein, primary cellular receptor CD4, and at least two main cellular coreceptors, CCR5 and CXCR4. The identification of the HIV-1 coreceptors led to the rapid development of several drug candidates that selectively block this interaction, that is, CCR5 or CXCR4 antagonists. Here, we review different methodologies used to determine the ability of the virus to use one or both coreceptors and their potential role in managing HIV-infected individuals treated with these novel drugs. RECENT
FINDINGS: Most commercially available HIV-1 tropism assays are cell-based (phenotypic) tests, which use different methodologies to generate env-recombinant viruses and distinct detection systems. On the other hand, a large effort is being devoted to develop more robust bioinformatic (genotypic) tools that may expedite HIV-1 tropism assays without compromising their accuracy. The main goal, however, continues to be to improve the sensitivity to detect minor CXCR4-tropic variants within the in-vivo HIV-1 quasispecies.
SUMMARY: An accurate determination, and perhaps quantification, of HIV-1 coreceptor usage is necessary for the successful management of HIV-infected individuals in the new era of entry inhibitors. Further studies, aimed to the development of novel methodologies, are essential for the success of this new class of drugs.

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Year:  2009        PMID: 19339953     DOI: 10.1097/COH.0b013e328322f973

Source DB:  PubMed          Journal:  Curr Opin HIV AIDS        ISSN: 1746-630X            Impact factor:   4.283


  21 in total

1.  Deep sequencing to infer HIV-1 co-receptor usage: application to three clinical trials of maraviroc in treatment-experienced patients.

Authors:  Luke C Swenson; Theresa Mo; Winnie W Y Dong; Xiaoyin Zhong; Conan K Woods; Mark A Jensen; Alexander Thielen; Douglass Chapman; Marilyn Lewis; Ian James; Jayvant Heera; Hernan Valdez; P Richard Harrigan
Journal:  J Infect Dis       Date:  2011-01-15       Impact factor: 5.226

Review 2.  The Role of HIV-1 Drug-Resistant Minority Variants in Treatment Failure.

Authors:  Natalia Stella-Ascariz; José Ramón Arribas; Roger Paredes; Jonathan Z Li
Journal:  J Infect Dis       Date:  2017-12-01       Impact factor: 5.226

3.  Performance of genotypic algorithms for predicting HIV-1 tropism measured against the enhanced-sensitivity Trofile coreceptor tropism assay.

Authors:  Victoria Sánchez; Mar Masiá; Catalina Robledano; Sergio Padilla; José Manuel Ramos; Félix Gutiérrez
Journal:  J Clin Microbiol       Date:  2010-09-22       Impact factor: 5.948

4.  Concordance between two phenotypic assays and ultradeep pyrosequencing for determining HIV-1 tropism.

Authors:  Adrien Saliou; Pierre Delobel; Martine Dubois; Florence Nicot; Stéphanie Raymond; Vincent Calvez; Bernard Masquelier; Jacques Izopet
Journal:  Antimicrob Agents Chemother       Date:  2011-04-04       Impact factor: 5.191

5.  Existence of Replication-Competent Minor Variants with Different Coreceptor Usage in Plasma from HIV-1-Infected Individuals.

Authors:  Yosuke Maeda; Taichiro Takemura; Takayuki Chikata; Takeo Kuwata; Hiromi Terasawa; Riito Fujimoto; Nozomi Kuse; Tomohiro Akahoshi; Hayato Murakoshi; Giang Van Tran; Yu Zhang; Chau Ha Pham; Anh Hong Quynh Pham; Kazuaki Monde; Tomohiro Sawa; Shuzo Matsushita; Trung Vu Nguyen; Kinh Van Nguyen; Futoshi Hasebe; Tetsu Yamashiro; Masafumi Takiguchi
Journal:  J Virol       Date:  2020-06-01       Impact factor: 5.103

6.  Next-Generation Sequencing to Help Monitor Patients Infected with HIV: Ready for Clinical Use?

Authors:  Richard M Gibson; Christine L Schmotzer; Miguel E Quiñones-Mateu
Journal:  Curr Infect Dis Rep       Date:  2014-04       Impact factor: 3.725

7.  Comparative determination of HIV-1 co-receptor tropism by Enhanced Sensitivity Trofile, gp120 V3-loop RNA and DNA genotyping.

Authors:  Mattia C F Prosperi; Laura Bracciale; Massimiliano Fabbiani; Simona Di Giambenedetto; Francesca Razzolini; Genny Meini; Manuela Colafigli; Angela Marzocchetti; Roberto Cauda; Maurizio Zazzi; Andrea De Luca
Journal:  Retrovirology       Date:  2010-06-30       Impact factor: 4.602

8.  Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage.

Authors:  Majid Masso; Iosif I Vaisman
Journal:  BMC Bioinformatics       Date:  2010-10-05       Impact factor: 3.169

9.  Sensitive cell-based assay for determination of human immunodeficiency virus type 1 coreceptor tropism.

Authors:  Jan Weber; Ana C Vazquez; Dane Winner; Richard M Gibson; Ariel M Rhea; Justine D Rose; Doug Wylie; Kenneth Henry; Alison Wright; Kevin King; John Archer; Eva Poveda; Vicente Soriano; David L Robertson; Paul D Olivo; Eric J Arts; Miguel E Quiñones-Mateu
Journal:  J Clin Microbiol       Date:  2013-03-13       Impact factor: 5.948

Review 10.  Deep sequencing: becoming a critical tool in clinical virology.

Authors:  Miguel E Quiñones-Mateu; Santiago Avila; Gustavo Reyes-Teran; Miguel A Martinez
Journal:  J Clin Virol       Date:  2014-06-24       Impact factor: 3.168

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