23 research outputs found

    Impact of enterovirus and other enteric pathogens on oral polio and rotavirus vaccine performance in Bangladeshi infants

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    AbstractBackgroundOral polio vaccine (OPV) and rotavirus vaccine (RV) exhibit poorer performance in low-income settings compared to high-income settings. Prior studies have suggested an inhibitory effect of concurrent non-polio enterovirus (NPEV) infection, but the impact of other enteric infections has not been comprehensively evaluated.MethodsIn urban Bangladesh, we tested stools for a broad range of enteric viruses, bacteria, parasites, and fungi by quantitative PCR from infants at weeks 6 and 10 of life, coincident with the first OPV and RV administration respectively, and examined the association between enteropathogen quantity and subsequent OPV serum neutralizing titers, serum rotavirus IgA, and rotavirus diarrhea.ResultsCampylobacter and enterovirus (EV) quantity at the time of administration of the first dose of OPV was associated with lower OPV1-2 serum neutralizing titers, while enterovirus quantity was also associated with diminished rotavirus IgA (−0.08 change in log titer per tenfold increase in quantity; P=0.037), failure to seroconvert (OR 0.78, 95% CI: 0.64–0.96; P=0.022), and breakthrough rotavirus diarrhea (OR 1.34, 95% CI: 1.05–1.71; P=0.020) after adjusting for potential confounders. These associations were not observed for Sabin strain poliovirus quantity.ConclusionIn this broad survey of enteropathogens and oral vaccine performance we find a particular association between EV carriage, particularly NPEV, and OPV immunogenicity and RV protection. Strategies to reduce EV infections may improve oral vaccine responses.ClinicalTrials.gov Identifier: NCT01375647

    Anthropometry over the first 2 years of life for the 371 children with complete anthropometric measurements.

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    <p>Height and weight were taken at 3-month intervals and transformed to standardized Z scores. The X-axis depicts the child’s age while the Y-axis depicts the percentage of children in the cohort who had a LAZ, WAZ, or WHZ <-2 SD.</p

    Random forests plots of the top 15 variables selected for linear growth and performance on the Bayley-III scales of infant and Toddler Development.

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    <p>Random forests models were constructed for LAZ at two years (A), the change in LAZ from enrollment to two years (B), and Bayley-III scores at two years of age. The Bayley-III is comprised of 4 components, namely cognitive (C), language (D), motor (E), and social-emotional (F). Color-coding correlates to the three clusters identified when all variables were analyzed using Pearson’s correlation (<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0006363#pntd.0006363.s001" target="_blank">S1 Fig</a>).</p
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