Association of X4 tropism with disease progression in antiretroviral-treated children and adolescents living with HIV/AIDS in Sao Paulo, Brazil

  • F.J. A
  • M.S. Z
  • D.H. M
  • et al.
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Abstract

Management of children with HIV/AIDS is specially challenging. Age-related issues do not allow for direct transposition of adult observations to this population. CXCR4 tropism has been associated with disease progression in adults. The geno2pheno web-base is a friendly tool to predict viral tropism on envelope V3 sequences, generating a false positive rate for a CXCR4 prediction. We evaluated the association of HIV-1 tropism prediction with clinical and laboratory outcome of 73 children with HIV/AIDS in Sao Paulo, Brazil. The CXCR4 tropism was strongly associated with a lower (nadir) CD4 documented during follow-up (p<0.0001) and with disease severity (clinical event and/or CD4 below 200cells/mm3) at the last observation, using commonly applied clinical cutoffs, such as 10%FPRclonal (p=0.001). When variables obtained during follow-up are included, both treatment adherence and viral tropism show a significant association with disease severity. As for viremia suppression, 30% (22/73) were undetectable at the last observation, with only adherence strongly associated with suppression after adjustment. The study brings further support to the notion that antiretroviral treatment adherence is pivotal to management of HIV disease, but suggests that tropism prediction may provide an additional prognostic marker to monitor HIV disease in children. © 2013 Elsevier Editora Ltda.

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APA

F.J., A., M.S., Z., D.H., M., J., de S. C., R., R., E.N., B., … L.F., de M. B. (2014). Association of X4 tropism with disease progression in antiretroviral-treated children and adolescents living with HIV/AIDS in Sao Paulo, Brazil. Brazilian Journal of Infectious Diseases. F.J. Almeida, R. Dr. Jose Rodrigues Alves Sobrinho, 150, 05466-040 Sao Paulo, SP, Brazil. E-mail: flaviaja@gmail.com: Contexto. Retrieved from http://www.scielo.br/scielo.php?pid=1413-8670&script=sci_serial

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