Literature DB >> 20849301

Analysis of selection pressure and mutational pattern of HIV type 1 reverse transcriptase region among treated and nontreated patients.

Uma Shanmugasundaram1, Suniti Solomon, Vidya Madhavan, Murugavel G Kailapuri, Kumarasamy Nagalingeswaran, Sunil Suhas Solomon, Kenneth H Mayer, Balakrishnan Pachamuthu.   

Abstract

Variation of the HIV-1 subtype C reverse transcriptase region (RT) resulting in response to the selective pressures of drug therapy remains poorly characterized. Here, we compared the genetic variation resulting in the presence and absence of antiretroviral drug selective pressures on HIV-1 subtype C RT among nontreated and treated patients. The nucleotide variability, nonsynonymous and synonymous ratio, and the positively selected mutations were determined by comparing the RT sequences isolated at two time points among nontreated (baseline and follow-up) and treated patients (baseline and treatment failure). Compared to the nontreated patients, the intrapatient nucleotide variability, the number of nonsynonymous and synonymous substitutions was significantly higher among the treated patients. Among the mutations positively selected, the frequency of D121Y, I135R, and Q207E increased and the frequency of mutation S48T decreased significantly during treatment failure. Further studies are essential to discover the role of these mutations during treatment in HIV-1 subtype C.

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Year:  2010        PMID: 20849301      PMCID: PMC5206687          DOI: 10.1089/aid.2009.0300

Source DB:  PubMed          Journal:  AIDS Res Hum Retroviruses        ISSN: 0889-2229            Impact factor:   2.205


  48 in total

1.  Codon-substitution models for heterogeneous selection pressure at amino acid sites.

Authors:  Z Yang; R Nielsen; N Goldman; A M Pedersen
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

2.  Latent infection of CD4+ T cells provides a mechanism for lifelong persistence of HIV-1, even in patients on effective combination therapy.

Authors:  D Finzi; J Blankson; J D Siliciano; J B Margolick; K Chadwick; T Pierson; K Smith; J Lisziewicz; F Lori; C Flexner; T C Quinn; R E Chaisson; E Rosenberg; B Walker; S Gange; J Gallant; R F Siliciano
Journal:  Nat Med       Date:  1999-05       Impact factor: 53.440

3.  Genotypic analysis of the protease and reverse transcriptase of HIV type 1 isolates from recently infected injecting drug users in western China.

Authors:  Lingjie Liao; Hui Xing; Xinping Li; Yuhua Ruan; Yuanzhi Zhang; Guangming Qin; Yiming Shao
Journal:  AIDS Res Hum Retroviruses       Date:  2007-08       Impact factor: 2.205

4.  Human immunodeficiency virus type 1 population bottleneck during indinavir therapy causes a genetic drift in the env quasispecies.

Authors:  A Ibáñez; B Clotet; M A Martínez
Journal:  J Gen Virol       Date:  2000-01       Impact factor: 3.891

5.  Immune-mediated positive selection drives human immunodeficiency virus type 1 molecular variation and predicts disease duration.

Authors:  Howard A Ross; Allen G Rodrigo
Journal:  J Virol       Date:  2002-11       Impact factor: 5.103

6.  High sequence conservation of human immunodeficiency virus type 1 reverse transcriptase under drug pressure despite the continuous appearance of mutations.

Authors:  Francesca Ceccherini-Silberstein; Federico Gago; Maria Santoro; Caterina Gori; Valentina Svicher; Fátima Rodríguez-Barrios; Roberta d'Arrigo; Massimo Ciccozzi; Ada Bertoli; Antonella d'Arminio Monforte; Jan Balzarini; Andrea Antinori; Carlo-Federico Perno
Journal:  J Virol       Date:  2005-08       Impact factor: 5.103

7.  Evidence for positive selection driving the evolution of HIV-1 env under potent antiviral therapy.

Authors:  S D Frost; H F Günthard; J K Wong; D Havlir; D D Richman; A J Leigh Brown
Journal:  Virology       Date:  2001-06-05       Impact factor: 3.616

8.  Lower in vivo mutation rate of human immunodeficiency virus type 1 than that predicted from the fidelity of purified reverse transcriptase.

Authors:  L M Mansky; H M Temin
Journal:  J Virol       Date:  1995-08       Impact factor: 5.103

9.  Therapeutic vaccination reduces HIV sequence variability.

Authors:  Dieter Hoffmann; Judith Seebach; Antonio Cosma; Frank D Goebel; Korbinian Strimmer; Hermann M Schätzl; Volker Erfle
Journal:  FASEB J       Date:  2007-10-10       Impact factor: 5.191

10.  Synonymous substitution rates predict HIV disease progression as a result of underlying replication dynamics.

Authors:  Philippe Lemey; Sergei L Kosakovsky Pond; Alexei J Drummond; Oliver G Pybus; Beth Shapiro; Helena Barroso; Nuno Taveira; Andrew Rambaut
Journal:  PLoS Comput Biol       Date:  2007-01-02       Impact factor: 4.475

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