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Genotype testing and antiretroviral resistance profiles from HIV-1 patients experiencing therapeutic failure in northeast Brazil
Medeiros, Melissa Soares; Arruda, Érico Antônio Gomes; Guerrant, Richard Littleton; Brown, Christopher; Hammarskjold, Marie-Louise; Rekosh, David; Lima, Aldo Ângelo Moreira.
Afiliação
  • Medeiros, Melissa Soares; Federal University of Ceará. Department of Pharmacology and Physiology. IBIMED. Fortaleza. BR
  • Arruda, Érico Antônio Gomes; São José Hospital of Infectious Diseases. Fortaleza. BR
  • Guerrant, Richard Littleton; University of Virginia. Center of Global Health. Charlottesville. US
  • Brown, Christopher; University of Virginia. Center of Global Health. Charlottesville. US
  • Hammarskjold, Marie-Louise; Federal University of Ceará. Department of Pharmacology and Physiology. IBIMED. Fortaleza. BR
  • Rekosh, David; Federal University of Ceará. Department of Pharmacology and Physiology. IBIMED. Fortaleza. BR
  • Lima, Aldo Ângelo Moreira; Federal University of Ceará. Department of Pharmacology and Physiology. IBIMED. Fortaleza. BR
Braz. j. infect. dis ; 11(4): 390-394, Aug. 2007. tab
Artigo em Inglês | LILACS | ID: lil-460697
Biblioteca responsável: BR1.1
ABSTRACT
Genotype testing for HIV-1 drug resistance is useful for selecting antiretroviral drug regimens for patients experiencing therapeutic failure, but the optimal means for interpreting the test results is unknown because many HIV-1 protease and reverse transcriptase (RT) mutations contribute to drug resistance. This study identified common combinations of resistance mutations related to antiretroviral resistance profiles. From April 2002 to March 2004, 101 protease and RT sequences were determined for HIV-1 isolates from patients who were failing antiretroviral therapy. The resistance profile was evaluated using the Stanford Database program. Male patients predominated (76.2 percent), the median age was 38 years, the average CD4 count was 279.21 cells/mm³ and the average viral load was 4.49 log. In relation to protease inhibitors (IP) 31 mutation patterns were detected, 49 mutation patterns were detected in Nucleoside RT Inhibitors (NRTI), and 17 patterns were found in the Non Nucleoside RT Inhibitors (NNRTI). K65R was detected in 5.9 percent of the isolates. The most frequent mutations were L90M, M184V and K103N related to PI's, NRTI's and NNRTI's, respectively. The best antiretroviral susceptibility was found to be Lopinavir in the PI class and Tenofovir in the NRTI class. The top six mutation patterns accounted for 49 percent of the resistance to PI's, for 38.5 percent of NRTI resistance, and the top two mutation patterns accounted for 40.9 percent of resistance to NNRTI's.
Assuntos

Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Assunto principal: Infecções por HIV / HIV-1 / Fármacos Anti-HIV / Farmacorresistência Viral / Mutação Limite: Adolescente / Adulto / Idoso / Criança / Feminino / Humanos / Masculino País/Região como assunto: América do Sul / Brasil Idioma: Inglês Revista: Braz. j. infect. dis Assunto da revista: Doenças Transmissíveis Ano de publicação: 2007 Tipo de documento: Artigo País de afiliação: Brasil / Estados Unidos Instituição/País de afiliação: Federal University of Ceará/BR / São José Hospital of Infectious Diseases/BR / University of Virginia/US
Texto completo: Disponível Coleções: Bases de dados internacionais Base de dados: LILACS Assunto principal: Infecções por HIV / HIV-1 / Fármacos Anti-HIV / Farmacorresistência Viral / Mutação Limite: Adolescente / Adulto / Idoso / Criança / Feminino / Humanos / Masculino País/Região como assunto: América do Sul / Brasil Idioma: Inglês Revista: Braz. j. infect. dis Assunto da revista: Doenças Transmissíveis Ano de publicação: 2007 Tipo de documento: Artigo País de afiliação: Brasil / Estados Unidos Instituição/País de afiliação: Federal University of Ceará/BR / São José Hospital of Infectious Diseases/BR / University of Virginia/US
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