Title |
A cell-free enzymatic activity assay for the evaluation of HIV-1 drug resistance to protease inhibitors
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Published in |
Frontiers in Microbiology, October 2015
|
DOI | 10.3389/fmicb.2015.01220 |
Pubmed ID | |
Authors |
Satoko Matsunaga, Takashi Masaoka, Tatsuya Sawasaki, Ryo Morishita, Yasumasa Iwatani, Masashi Tatsumi, Yaeta Endo, Naoki Yamamoto, Wataru Sugiura, Akihide Ryo |
Abstract |
Due to their high frequency of genomic mutations, human retroviruses often develop resistance to antiretroviral drugs. The emergence of drug-resistant human immunodeficiency virus type 1 (HIV-1) is a significant obstacle to the effective long-term treatment of HIV infection. The development of a rapid and versatile drug-susceptibility assay would enable acquisition of phenotypic information and facilitate determination of the appropriate choice of antiretroviral agents. In this study, we developed a novel in vitro method, termed the Cell-free drug susceptibility assay (CFDSA), for monitoring phenotypic information regarding the drug resistance of HIV-1 protease (PR). The CFDSA utilizes a wheat germ cell-free protein production system to synthesize enzymatically active HIV-1 PRs directly from PCR products amplified from HIV-1 molecular clones or clinical isolates in a rapid one-step procedure. Enzymatic activity of PRs can be readily measured by AlphaScreen (Amplified Luminescent Proximity Homogeneous Assay Screen) in the presence or absence of clinically used protease inhibitors (PIs). CFDSA measurement of drug resistance was based on the fold resistance to the half-maximal inhibitory concentration (IC50) of various PIs. The CFDSA could serve as a non-infectious, rapid, accessible, and reliable alternative to infectious cell-based phenotypic assays for evaluation of PI-resistant HIV-1. |
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Geographical breakdown
Country | Count | As % |
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United States | 1 | 33% |
Switzerland | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
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Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
Geographical breakdown
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Unknown | 37 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 16% |
Student > Doctoral Student | 3 | 8% |
Student > Master | 2 | 5% |
Researcher | 2 | 5% |
Student > Bachelor | 2 | 5% |
Other | 4 | 11% |
Unknown | 18 | 49% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 4 | 11% |
Biochemistry, Genetics and Molecular Biology | 2 | 5% |
Nursing and Health Professions | 2 | 5% |
Immunology and Microbiology | 2 | 5% |
Other | 3 | 8% |
Unknown | 19 | 51% |