Literature DB >> 20932334

In silico modeling indicates the development of HIV-1 resistance to multiple shRNA gene therapy differs to standard antiretroviral therapy.

Tanya Lynn Applegate1, Donald John Birkett, Glen John Mcintyre, Angel Belisario Jaramillo, Geoff Symonds, John Michael Murray.   

Abstract

BACKGROUND: Gene therapy has the potential to counter problems that still hamper standard HIV antiretroviral therapy, such as toxicity, patient adherence and the development of resistance. RNA interference can suppress HIV replication as a gene therapeutic via expressed short hairpin RNAs (shRNAs). It is now clear that multiple shRNAs will likely be required to suppress infection and prevent the emergence of resistant virus.
RESULTS: We have developed the first biologically relevant stochastic model in which multiple shRNAs are introduced into CD34+ hematopoietic stem cells. This model has been used to track the production of gene-containing CD4+ T cells, the degree of HIV infection, and the development of HIV resistance in lymphoid tissue for 13 years. In this model, we found that at least four active shRNAs were required to suppress HIV infection/replication effectively and prevent the development of resistance. The inhibition of incoming virus was shown to be critical for effective treatment. The low potential for resistance development that we found is largely due to a pool of replicating wild-type HIV that is maintained in non-gene containing CD4+ T cells. This wild-type HIV effectively out-competes emerging viral strains, maintaining the viral status quo.
CONCLUSIONS: The presence of a group of cells that lack the gene therapeutic and is available for infection by wild-type virus appears to mitigate the development of resistance observed with systemic antiretroviral therapy.

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Year:  2010        PMID: 20932334      PMCID: PMC2959037          DOI: 10.1186/1742-4690-7-83

Source DB:  PubMed          Journal:  Retrovirology        ISSN: 1742-4690            Impact factor:   4.602


  56 in total

1.  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

2.  Computational design of antiviral RNA interference strategies that resist human immunodeficiency virus escape.

Authors:  Joshua N Leonard; David V Schaffer
Journal:  J Virol       Date:  2005-02       Impact factor: 5.103

Review 3.  MicroRNA biogenesis: coordinated cropping and dicing.

Authors:  V Narry Kim
Journal:  Nat Rev Mol Cell Biol       Date:  2005-05       Impact factor: 94.444

Review 4.  Ribo-gnome: the big world of small RNAs.

Authors:  Phillip D Zamore; Benjamin Haley
Journal:  Science       Date:  2005-09-02       Impact factor: 47.728

5.  Overexpression of exportin 5 enhances RNA interference mediated by short hairpin RNAs and microRNAs.

Authors:  Rui Yi; Brian P Doehle; Yi Qin; Ian G Macara; Bryan R Cullen
Journal:  RNA       Date:  2004-12-21       Impact factor: 4.942

6.  Impact of gene-modified T cells on HIV infection dynamics.

Authors:  Dorothee von Laer; Susanne Hasselmann; Klaus Hasselmann
Journal:  J Theor Biol       Date:  2005-07-05       Impact factor: 2.691

7.  Decay characteristics of HIV-1-infected compartments during combination therapy.

Authors:  A S Perelson; P Essunger; Y Cao; M Vesanen; A Hurley; K Saksela; M Markowitz; D D Ho
Journal:  Nature       Date:  1997-05-08       Impact factor: 49.962

8.  Gene therapy of T helper cells in HIV infection: mathematical model of the criteria for clinical effect.

Authors:  O Lund; O S Lund; G Gram; S D Nielsen; K Schønning; J O Nielsen; J E Hansen; E Mosekilde
Journal:  Bull Math Biol       Date:  1997-07       Impact factor: 1.758

9.  HIV-1 dynamics in vivo: virion clearance rate, infected cell life-span, and viral generation time.

Authors:  A S Perelson; A U Neumann; M Markowitz; J M Leonard; D D Ho
Journal:  Science       Date:  1996-03-15       Impact factor: 47.728

10.  HIV-1 can escape from RNA interference by evolving an alternative structure in its RNA genome.

Authors:  Ellen M Westerhout; Marcel Ooms; Monique Vink; Atze T Das; Ben Berkhout
Journal:  Nucleic Acids Res       Date:  2005-02-01       Impact factor: 16.971

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  9 in total

1.  HIV develops indirect cross-resistance to combinatorial RNAi targeting two distinct and spatially distant sites.

Authors:  Priya S Shah; Nhung P Pham; David V Schaffer
Journal:  Mol Ther       Date:  2012-01-31       Impact factor: 11.454

Review 2.  Ex vivo gene therapy for HIV-1 treatment.

Authors:  Lisa J Scherer; John J Rossi
Journal:  Hum Mol Genet       Date:  2011-04-19       Impact factor: 6.150

Review 3.  Creating genetic resistance to HIV.

Authors:  John C Burnett; John A Zaia; John J Rossi
Journal:  Curr Opin Immunol       Date:  2012-09-15       Impact factor: 7.486

4.  A comparison of multiple shRNA expression methods for combinatorial RNAi.

Authors:  Glen J McIntyre; Allison J Arndt; Kirsten M Gillespie; Wendy M Mak; Gregory C Fanning
Journal:  Genet Vaccines Ther       Date:  2011-04-17

5.  Multiple shRNA combinations for near-complete coverage of all HIV-1 strains.

Authors:  Glen J McIntyre; Jennifer L Groneman; Yi-Hsin Yu; Anna Tran; Tanya L Applegate
Journal:  AIDS Res Ther       Date:  2011-01-13       Impact factor: 2.250

Review 6.  MicroRNAs and human retroviruses.

Authors:  Laurent Houzet; Kuan-Teh Jeang
Journal:  Biochim Biophys Acta       Date:  2011-05-24

7.  Preclinical safety and efficacy of an anti-HIV-1 lentiviral vector containing a short hairpin RNA to CCR5 and the C46 fusion inhibitor.

Authors:  Orit Wolstein; Maureen Boyd; Michelle Millington; Helen Impey; Joshua Boyer; Annett Howe; Frederic Delebecque; Kenneth Cornetta; Michael Rothe; Christopher Baum; Tamara Nicolson; Rachel Koldej; Jane Zhang; Naomi Keech; Joanna Camba Colón; Louis Breton; Jeffrey Bartlett; Dong Sung An; Irvin Sy Chen; Bryan Burke; Geoff P Symonds
Journal:  Mol Ther Methods Clin Dev       Date:  2014-02-12       Impact factor: 6.698

Review 8.  Antiviral RNAi: translating science towards therapeutic success.

Authors:  Priya S Shah; David V Schaffer
Journal:  Pharm Res       Date:  2011-08-09       Impact factor: 4.200

9.  A quantitative comparison of anti-HIV gene therapy delivered to hematopoietic stem cells versus CD4+ T cells.

Authors:  Borislav Savkovic; James Nichols; Donald Birkett; Tanya Applegate; Scott Ledger; Geoff Symonds; John M Murray
Journal:  PLoS Comput Biol       Date:  2014-06-19       Impact factor: 4.475

  9 in total

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