Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA
<p>Abstract</p> <p>Background</p> <p>Analysis of within-patient HIV evolution under anti-HIV therapy is crucial to a better understanding the possible mechanisms of HIV drug-resistance acquisition. The high evolutionary rate of HIV allows us to trace its evolutionary pr...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2009-10-01
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| Series: | BMC Bioinformatics |
| Online Access: | http://www.biomedcentral.com/1471-2105/10/360 |
| _version_ | 1811329404465315840 |
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| author | Matsuda Masakazu Shibata Junko Sugiura Wataru Hasegawa Naoki Ren Fengrong Tanaka Hiroshi |
| author_facet | Matsuda Masakazu Shibata Junko Sugiura Wataru Hasegawa Naoki Ren Fengrong Tanaka Hiroshi |
| author_sort | Matsuda Masakazu |
| collection | DOAJ |
| description | <p>Abstract</p> <p>Background</p> <p>Analysis of within-patient HIV evolution under anti-HIV therapy is crucial to a better understanding the possible mechanisms of HIV drug-resistance acquisition. The high evolutionary rate of HIV allows us to trace its evolutionary process in real time by analyzing virus samples serially collected from the same patient. However, such studies are still uncommon due to the lack of powerful computational methods designed for serial virus samples. In this study, we develop a computational method, vSPA (viral Sequential Pathway Analysis), which groups viral sequences from the same sampling time into clusters and traces the evolution between clusters over sampling times. The method makes use of information of different sampling times and traces the evolution of important amino acid mutations. Second, a permutation test at the codon level is conducted to determine the threshold of the correlation coefficient for clustering viral quasispecies. We applied vSPA to four large data sets of HIV-1 protease and reverse transcriptase genes serially collected from two AIDS patients undergoing anti-HIV therapy over several years.</p> <p>Results</p> <p>The results show that vSPA can trace within-patient HIV evolution by detecting many amino acid changes, including important drug-resistant mutations, and by classifying different viral quasispecies coexisting during different periods of the therapy.</p> <p>Conclusion</p> <p>Given that many new anti-HIV drugs will be available in the near future, vSPA may be useful for quickly providing information on the acquisition of HIV drug-resistant mutations by monitoring the within-patient HIV evolution under anti-HIV therapy as a computational approach.</p> |
| first_indexed | 2024-04-13T15:43:18Z |
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| institution | Directory Open Access Journal |
| issn | 1471-2105 |
| language | English |
| last_indexed | 2024-04-13T15:43:18Z |
| publishDate | 2009-10-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Bioinformatics |
| spelling | doaj.art-a107e38ca8064743b636128eb71c6bc02022-12-22T02:41:05ZengBMCBMC Bioinformatics1471-21052009-10-0110136010.1186/1471-2105-10-360Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPAMatsuda MasakazuShibata JunkoSugiura WataruHasegawa NaokiRen FengrongTanaka Hiroshi<p>Abstract</p> <p>Background</p> <p>Analysis of within-patient HIV evolution under anti-HIV therapy is crucial to a better understanding the possible mechanisms of HIV drug-resistance acquisition. The high evolutionary rate of HIV allows us to trace its evolutionary process in real time by analyzing virus samples serially collected from the same patient. However, such studies are still uncommon due to the lack of powerful computational methods designed for serial virus samples. In this study, we develop a computational method, vSPA (viral Sequential Pathway Analysis), which groups viral sequences from the same sampling time into clusters and traces the evolution between clusters over sampling times. The method makes use of information of different sampling times and traces the evolution of important amino acid mutations. Second, a permutation test at the codon level is conducted to determine the threshold of the correlation coefficient for clustering viral quasispecies. We applied vSPA to four large data sets of HIV-1 protease and reverse transcriptase genes serially collected from two AIDS patients undergoing anti-HIV therapy over several years.</p> <p>Results</p> <p>The results show that vSPA can trace within-patient HIV evolution by detecting many amino acid changes, including important drug-resistant mutations, and by classifying different viral quasispecies coexisting during different periods of the therapy.</p> <p>Conclusion</p> <p>Given that many new anti-HIV drugs will be available in the near future, vSPA may be useful for quickly providing information on the acquisition of HIV drug-resistant mutations by monitoring the within-patient HIV evolution under anti-HIV therapy as a computational approach.</p>http://www.biomedcentral.com/1471-2105/10/360 |
| spellingShingle | Matsuda Masakazu Shibata Junko Sugiura Wataru Hasegawa Naoki Ren Fengrong Tanaka Hiroshi Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA BMC Bioinformatics |
| title | Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA |
| title_full | Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA |
| title_fullStr | Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA |
| title_full_unstemmed | Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA |
| title_short | Inferring within-patient HIV-1 evolutionary dynamics under anti-HIV therapy using serial virus samples with vSPA |
| title_sort | inferring within patient hiv 1 evolutionary dynamics under anti hiv therapy using serial virus samples with vspa |
| url | http://www.biomedcentral.com/1471-2105/10/360 |
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