Literature DB >> 9214851

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

O Lund1, O S Lund, G Gram, S D Nielsen, K Schønning, J O Nielsen, J E Hansen, E Mosekilde.   

Abstract

This paper presents a mathematical analysis of the criteria for gene therapy of T helper cells to have a clinical effect on HIV infection. The analysis indicates that for such a therapy to be successful, it must protect the transduced cells against HIV-induced death. The transduced cells will not survive as a population if the gene therapy only blocks the spread of virus from transduced cells that become infected. The analysis also suggests that the degree of protection against disease-related cell death provided by the gene therapy is more important than the fraction cells that is initially transduced. If only a small fraction of the cells can be transduced, transduction of T helper cells and transduction of haematopoietic progenitor cells will result in the same steady-state level of transduced T helper cells. For gene therapy to be efficient against HIV infection, our analysis suggests that a 100% protection against viral escape must be obtained. The study also suggests that a gene therapy against HIV infection should be designed to give the transduced cells a partial but not necessarily total protection against HIV-induced cell death, and to avoid the production of viral mutants insensitive to the gene therapy.

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Year:  1997        PMID: 9214851     DOI: 10.1007/bf02458427

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  8 in total

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2.  Secreted antiviral entry inhibitory (SAVE) peptides for gene therapy of HIV infection.

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

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4.  Theoretical design of a gene therapy to prevent AIDS but not human immunodeficiency virus type 1 infection.

Authors:  Leor S Weinberger; David V Schaffer; Adam P Arkin
Journal:  J Virol       Date:  2003-09       Impact factor: 5.103

Review 5.  Genetic therapies against HIV.

Authors:  John J Rossi; Carl H June; Donald B Kohn
Journal:  Nat Biotechnol       Date:  2007-12       Impact factor: 54.908

6.  Computational models of HIV-1 resistance to gene therapy elucidate therapy design principles.

Authors:  Sharon Aviran; Priya S Shah; David V Schaffer; Adam P Arkin
Journal:  PLoS Comput Biol       Date:  2010-08-12       Impact factor: 4.475

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

8.  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

  8 in total

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