Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53063
Title: Estimating the timing of mother-to-child transmission of the human immunodeficiency virus type 1 using a viral molecular evolution model
Authors: Antoine Chaillon
Tanawan Samleerat
Faustine Zoveda
Sébastien Ballesteros
Alain Moreau
Nicole Ngo-Giang-Huong
Gonzague Jourdain
Sara Gianella
Marc Lallemant
Frantz Depaulis
Francis Barin
Keywords: Agricultural and Biological Sciences
Biochemistry, Genetics and Molecular Biology
Medicine
Issue Date: 9-Apr-2014
Abstract: Background: Mother-to-child transmission (MTCT) is responsible for most pediatric HIV-1 infections worldwide. It can occur during pregnancy, labor, or breastfeeding. Numerous studies have used coalescent and molecular clock methods to understand the epidemic history of HIV-1, but the timing of vertical transmission has not been studied using these methods. Taking advantage of the constant accumulation of HIV genetic variation over time and using longitudinally sampled viral sequences, we used a coalescent approach to investigate the timing of MTCT. Materials and Methods: Six-hundred and twenty-two clonal env sequences from the RNA and DNA viral population were longitudinally sampled from nine HIV-1 infected mother-and-child pairs [range: 277-1034 days]. For each transmission pair, timing of MTCT was determined using a coalescent-based model within a Bayesian statistical framework. Results were compared with available estimates of MTCT timing obtained with the classic biomedical approach based on serial HIV DNA detection by PCR assays. Results: Four children were infected during pregnancy, whereas the remaining five children were infected at time of delivery. For eight out of nine pairs, results were consistent with the transmission periods assessed by standard PCR-based assay. The discordance in the remaining case was likely confused by co-infection, with simultaneous introduction of multiple maternal viral variants at the time of delivery. Conclusions: The study provided the opportunity to validate the Bayesian coalescent approach that determines the timing of MTCT of HIV-1. It illustrates the power of population genetics approaches to reliably estimate the timing of transmission events and deepens our knowledge about the dynamics of viral evolution in HIV-infected children, accounting for the complexity of multiple transmission events. © 2014 Chaillon et al.
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84899580589&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/53063
ISSN: 19326203
Appears in Collections:CMUL: Journal Articles

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