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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Discrepancies of HIV-1 Reverse Transcriptase Resistance Interpretation of Insertions and Deletions between Two Genotypic Algorithms

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Autor(es):
Silva Lopez-Lopes, Giselle Ibette [1] ; Lanca, Andre Minhoto [1] ; de Paula Ferreira, Joao Leandro [1] ; Souza, Luciana Oliveira [1] ; de Macedo Brigido, Luis Fernando [1]
Número total de Autores: 5
Afiliação do(s) autor(es):
[1] Ctr Virol, Inst Adolfo Lutz, Retrovirus Lab, Sao Paulo - Brazil
Número total de Afiliações: 1
Tipo de documento: Artigo Científico
Fonte: Intervirology; v. 56, n. 4, p. 217-223, 2013.
Citações Web of Science: 1
Resumo

Background: Bioinformatics algorithms have been developed for the interpretation of resistance from sequence submission, which supports clinical decision making. This study evaluated divergences of the interpretation of the genotyping in two commonly used algorithms, using sequences with indels of reverse transcriptase genes. Methods: Sequences were obtained from virus RNA of patients failing highly active antiretroviral therapy from 2004 to 2011. Alignments were obtained using Clustal W including subtype B consensus and HXB2. Sequences with evidence of indels were submitted to the Stanford Resistance Database and to the Geno2Pheno to locate indel positioning and determine the resistance profile. Results: A total of 1,959 partial reverse transcriptase sequences were assessed, mostly subtype B (74%). Insertions and deletions were observed in 0.9 and 0.6% of sequences, respectively. Discordant insert positioning was assigned for most (90%) insertion sequences, with 27% discordances for deletions. Susceptibility differed for some antiretroviral drugs, predominantly for TDF, d4T and ETV, when sequences with deletions were evaluated. Conclusion: Both indel positioning and its impact on drug susceptibility varies depending on the algorithm, a fact that might influence the clinical decision. Critical analysis of indel sequences with manual alignments is important, and its use alongside different algorithms may be important to better understand the outcomes of genotypic resistance prediction. Copyright (C) 2013 S. Karger AG, Basel (AU)

Processo FAPESP: 11/21958-2 - Resistência genotípica no resgate terapêutico de pacientes infectados pelo HIV-1 com novas classes de antirretrovirais
Beneficiário:Luís Fernando de Macedo Brígido
Modalidade de apoio: Auxílio à Pesquisa - Regular
Processo FAPESP: 06/61311-0 - Avaliação do teste de genotipagem do HIV e terapias de resgate no estado de São Paulo
Beneficiário:Rosangela Rodrigues
Modalidade de apoio: Auxílio à Pesquisa - Pesquisa em Políticas Públicas para o SUS