Literature DB >> 19220361

Drug-resistant human immunodefiency virus.

M J Kozal1.   

Abstract

The development of antiretroviral therapy has led to a major reduction in human immunodeficiency virus (HIV)-related mortality. There are now six antiretroviral drug classes, with more than 20 unique antiretroviral drugs. However, HIV drug resistance occurs with all antiretroviral agents. Drug resistance can affect the response to antiretroviral therapy and is associated with increased mortality. The emergence of resistance in persons on antiretroviral therapy and the transmission of drug-resistant HIV strains to newly infected persons are now major public health concerns. Resistant variants that make up as little as 1% of the viral population in an HIV-infected person are clinically important, as they can rapidly grow under drug selection pressure and lead to therapy failure. However, current resistance assays used in the clinic reliably detect resistant variants only if they make up at least 20% of the circulating viral population. Recently, antiretroviral drugs have been developed that can inhibit HIV replication at new sites within the viral life cycle. These new drugs may improve clinical outcomes in persons infected with multidrug-resistant HIV. This review addresses the epidemiology and biological mechanisms of HIV drug resistance and the new approaches to detect and combat HIV drug resistance.

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Year:  2009        PMID: 19220361     DOI: 10.1111/j.1469-0691.2008.02687.x

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  20 in total

1.  In vivo selection of CD4(+) T cells transduced with a gamma-retroviral vector expressing a single-chain intrabody targeting HIV-1 tat.

Authors:  Stephen E Braun; Ran Taube; Quan Zhu; Fay Eng Wong; Akikazu Murakami; Erick Kamau; Markryan Dwyer; Gang Qiu; Janet Daigle; Angela Carville; R Paul Johnson; Wayne A Marasco
Journal:  Hum Gene Ther       Date:  2012-09       Impact factor: 5.695

Review 2.  Towards nanomedicines for neuroAIDS.

Authors:  Vidya Sagar; Sudheesh Pilakka-Kanthikeel; Ravi Pottathil; Shailendra K Saxena; Madhavan Nair
Journal:  Rev Med Virol       Date:  2014-01-07       Impact factor: 6.989

3.  Transmitted drug resistance in nonsubtype B HIV-1 infection.

Authors:  Philip A Chan; Rami Kantor
Journal:  HIV Ther       Date:  2009-09-01

Review 4.  Nose to brain delivery of antiretroviral drugs in the treatment of neuroAIDS.

Authors:  Anupam Sarma; Malay K Das
Journal:  Mol Biomed       Date:  2020-12-10

5.  Association between risk behaviors and antiretroviral resistance in HIV-infected patients receiving opioid agonist treatment.

Authors:  Jeanette M Tetrault; Michael J Kozal; Jennifer Chiarella; Lynn E Sullivan; An T Dinh; David A Fiellin
Journal:  J Addict Med       Date:  2013 Mar-Apr       Impact factor: 3.702

6.  Prevalence and clinical significance of HIV drug resistance mutations by ultra-deep sequencing in antiretroviral-naïve subjects in the CASTLE study.

Authors:  Max Lataillade; Jennifer Chiarella; Rong Yang; Steven Schnittman; Victoria Wirtz; Jonathan Uy; Daniel Seekins; Mark Krystal; Marco Mancini; Donnie McGrath; Birgitte Simen; Michael Egholm; Michael Kozal
Journal:  PLoS One       Date:  2010-06-03       Impact factor: 3.240

7.  Survival of the fittest: positive selection of CD4+ T cells expressing a membrane-bound fusion inhibitor following HIV-1 infection.

Authors:  Janine Kimpel; Stephen E Braun; Gang Qiu; Fay Eng Wong; Michelle Conolle; Jörn E Schmitz; Christian Brendel; Laurent M Humeau; Boro Dropulic; John J Rossi; Annemarie Berger; Dorothee von Laer; R Paul Johnson
Journal:  PLoS One       Date:  2010-08-23       Impact factor: 3.240

8.  Prevalence of drug resistance and associated mutations in a population of Hiv-1+ Puerto Ricans in 2005.

Authors:  Luis A Cubano; Luz Cumba; Lycely C del Sepúlveda-Torres; Nawal Boukli; Eddy Ríos-Olivares
Journal:  Bol Asoc Med P R       Date:  2010 Jul-Sep

9.  5-Azacytidine can induce lethal mutagenesis in human immunodeficiency virus type 1.

Authors:  Michael J Dapp; Christine L Clouser; Steven Patterson; Louis M Mansky
Journal:  J Virol       Date:  2009-09-02       Impact factor: 5.103

10.  New strategies and emerging technologies for massively parallel sequencing: applications in medical research.

Authors:  Elaine R Mardis
Journal:  Genome Med       Date:  2009-04-17       Impact factor: 11.117

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