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ACCURACY OF HIV-1 SUBTYPE ASSIGNMENT OF V3 LOOP GP120 GENE

https://doi.org/10.22328/2077-9828-2015-7-1-40-44

Abstract

The use of HIV-1 genotyping for tropism prediction before Maraviroc (MVC, Pfizer) prescription in Russia will produce a large number of env gene sequences. These data may be useful for both therapy and epidemiological surveillance. But HIV-1 subtyping tools performance on Russian strains is still undetermined. In this work we have investigated the accuracy of genotypic subtype prediction by Geno2pheno algorithm on env gene region. Concordant results between pol and env regions were for 84,7% samples. Agreement between phylogenetic analysis and automatic prediction by Geno2Pheno of env gene region was found in 90,6% that means quite high accuracy of the algorithm. Discordant results were associated with low sensitivity for recombinants and inaccurate algorithm performance.

About the Authors

M. Y. Dmitryukova
Central Research Institute for Epidemiology
Russian Federation


D. E. Kireev
Central Research Institute for Epidemiology
Russian Federation


A. E. Lopatukhin
Central Research Institute for Epidemiology
Russian Federation


I. A. Lapovok
Central Research Institute for Epidemiology
Russian Federation


G. A. Shipulin
Central Research Institute for Epidemiology
Russian Federation


References

1. Global report: UNAIDS Report on global AIDS epidemic 2013 / WHO Library Cataloguing-in-Publication Data. - Geneva: UNAIDS, 2013. - 198 р.

2. Покровский В.В., Ладная Н.Н., Соколова Е.В., Буравцова Е.В. ВИЧ-инфекция: Информационный бюллетень № 38. - М.: Федеральный научно-методический центр по профилактике и борьбе со СПИДом, 2013. - 53 с. - URL: http://hivrussia.ru/files/bul_38.pdf (дата обращения 07.07.2014) г.

3. HIV DATABASES. - URL: www.hiv.lanl.gov (дата обращения 5.06.2014).

4. Hemelaar J. Implications of HIV diversity for the HIV-1 pandemic // Journal of Infections. - 2013. - Vol. 66. - P. 391-400.

5. Bobkova M. Current status of HIV-1 diversity and drug resistance monitoring in the former USSR // AIDS Rev. - 2013. - Vol. 15. - P. 204-212.

6. Santoro M.M., Perno C.F. HIV-1 genetic variability and clinical implication // ISRN Microbioilogy. - 2013. - 2013. - Р. 481314, doi: 10.1155/2013/481314.

7. de Oliveira T., Deforche K., Cassol S., Salminen M., Paraskevis D., Seebregts C., Snoeck J., van Rensburg E.J., Wensing A.M., van de Vijver D.A., Boucher C.A., Camacho R., Vandamme A.M. An automated genotyping system for analysis of HIV-1 and other microbial sequences // Bioinformatics. - 2005. - Vol. 21 (19). - p. 3797-3800.

8. Lengauer T. Bioinformatical assistance of selecting anti-HIV therapies: where do we stand? // Intervirology. - 2012. - Vol. 55. - P. 108-112.

9. Tamura K., Stecher G., Peterson D., Filipski A., Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0 // Molecular Biology and Evolution. - 2013. - Vol. 30. - P. 2725-2729.

10. Lengauer T., Sander O., Sierra S., Thielen A., Kaiser R. Bioinformatics prediction of HIV coreceptor usage // Nat Biotechnol. - 2007. - Vol. 25. - P. 1407-1410.

11. Liitsola K., Holm K., Bobkov A., Pokrovsky V., Smolskaya T., Leinikki P., Osmanov S., Salminen M. An AB recombinant and its parental HIV type 1 strains in the area of the former Soviet Union: low requirements for sequence identity in recombination. UNAIDS Virus Isolation Network // AIDS Res. Hum. Retroviruses. - 2000. - Vol. 16 (11). - P. 1047-1053.

12. Yebra G., Mulder M., Martin L., Perez-Cachafeiro S., Rodriguez C., Labarga P. Sensitivity of seven HIV subtyping tools differs among subtypes/recombinants in the Spanish cohort of naïve HIV-infected patients (CoRIS) // Antiviral Res. - 2011. - Vol. 89. - P. 19-25.

13. Snoeck J.I., Kantor R., Shafer R.W., Van Laethem K., Deforche K., Carvalho A.P. Discordances between interpretation algorithms for genotypic resistance to protease and reverse transcriptase inhibitors of human immunodeficiency virus are subtype dependent // Antimicrob Agents Chemother. - 2006. - Vol. 50. - P. 694-701.

14. Struck D., Lawyer G., Ternes A.M., Schmit J.C., Perez Bercoff D. COMET: adaptive context-based modeling for ultrafast HIV-1 subtype identification// Nucleic Acids Research 2014. doi 10.1093/nar/gku739.


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For citations:


Dmitryukova M.Y., Kireev D.E., Lopatukhin A.E., Lapovok I.A., Shipulin G.A. ACCURACY OF HIV-1 SUBTYPE ASSIGNMENT OF V3 LOOP GP120 GENE. HIV Infection and Immunosuppressive Disorders. 2015;7(1):40-44. (In Russ.) https://doi.org/10.22328/2077-9828-2015-7-1-40-44

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