Impact of antiretroviral resistance and virological failure on HIV-1 informational entropy

Autor(es)

de Carvalho Lima, Elidamar Nunes ^{[1, 2]} ; Castilho Piqueira, Jose Roberto ^[2] ; Camargo, Michelle ^[1] ; Galinskas, Juliana ^[1] ; Sucupira, Maria Cecilia ^[1] ; Diaz, Ricardo Sobhie ^[1]

Afiliação do(s) autor(es)

^[1] Fed Univ Sao Paulo UNIFESP, Paulista Sch Med, Div Infect Dis, Sao Paulo, SP - Brazil

^[2] Univ Sao Paulo, Sch Engn, Telecommun & Control Engn Dept, Sao Paulo, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: Journal of Antimicrobial Chemotherapy; v. 73, n. 4, p. 1054-1059, APR 2018.
• Citações Web of Science: 0

Resumo

Objectives: The present study investigated the relationship between genomic variability and resistance of HIV-1 sequences in protease (PR) and reverse transcriptase (RT) regions of the pol gene. In addition, we analysed the resistance among 651 individuals presenting antiretroviral virological failure, from 2009 to 2011, in the state of Sao Paulo, Brazil. Methods: The genomic variability was quantified by using informational entropy methods and the relationship between resistance and replicative fitness, as inferred by the residual viral load and CD4+ T cell count. Results: The number of antiretroviral schemes is related to the number of resistance mutations in the HIV-1 PR (alpha = 0.2511, P = 0.0003, R-2 = 0.8672) and the RT (alpha = 0.7892, P = 0.0001, R-2 = 0.9141). Increased informational entropy rate is related to lower levels of HIV-1 viral loads (alpha = -0.0121, P = 0.0471, R-2 = 0.7923), lower levels of CD4+ T cell counts (alpha = -0.0120, P = 0.0335, R-2 = 0.8221) and a higher number of antiretroviral resistance-related mutations. Conclusions: Less organized HIV genomes as inferred by higher levels of informational entropy relate to less competent host immune systems, lower levels of HIV replication and HIV genetic evolution as a consequence of antiretroviral resistance. (AU)

• Processo FAPESP: 11/12156-0 - Estudos das quasispecies do HIV com o uso de sequenciamento paralelo maciço
• Beneficiário: Ricardo Sobhie Diaz
• Modalidade de apoio: Auxílio à Pesquisa - Regular