20 research outputs found

    Differential Levels of Soluble Inflammatory Markers by Human Immunodeficiency Virus Controller Status and Demographics

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    Background. Human immunodeficiency virus (HIV)-1 elite controllers (ECs) represent an ideal population to study the effects of HIV persistence on chronic inflammation in the absence of antiretroviral therapy (ART). Methods. Twenty inflammatory markers measured in cohorts of ECs, HIV suppressed noncontrollers, and HIV-uninfected controls were compared using rank-based tests and partial least squares discriminant analysis (PLSDA). Spearman correlations were determined among the inflammatory markers, residual viremia by the single-copy assay, and CD4+ T cell slope. Results. Significant differences were seen between cohorts in 15 of the soluble inflammatory markers. Human immunodeficiency virus-1 ECs were found to have the highest levels for all of the markers with the exception of RANTES. In particular, median levels of 7 inflammatory markers (soluble CD14 [sCD14], interferon [IFN]-γ, IFN-γ-inducible protein [IP]-10, interleukin [IL]-4, IL-10, sCD40L, and granulocyte-macrophage colony-stimulating factor) were twice as high in the HIV-1 ECs compared with either of the HIV-suppressed or uninfected groups. Multivariate PLSDA analysis of inflammatory markers improved differentiation between the patient cohorts, discerning gender differences in inflammatory profile amongst individuals on suppressive ART. Soluble markers of inflammation in ECs were not associated with either levels of residual HIV-1 viremia or CD4+ T cell decline. Conclusions. Despite maintaining relatively low levels of viremia, HIV-1 ECs had elevated levels of a set of key inflammatory markers. Additional studies are needed to determine whether ECs may benefit from ART and to further evaluate the observed gender differences

    Genetic Variability of West Nile Virus in U.S. Blood Donors from the 2012 Epidemic Season

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    <div><p>West Nile virus (WNV) is an arbovirus maintained in nature in a bird-mosquito enzootic cycle which can also infect other vertebrates including humans. WNV is now endemic in the United States (U.S.), causing yearly outbreaks that have resulted in an estimated total of 4–5 million human infections. Over 41,700 cases of West Nile disease, including 18,810 neuroinvasive cases and 1,765 deaths, were reported to the CDC between 1999 and 2014. In 2012, the second largest West Nile outbreak in the U.S. was reported, which caused 5,674 cases and 286 deaths. WNV continues to evolve, and three major WNV lineage I genotypes (NY99, WN02, and SW/WN03) have been described in the U.S. since introduction of the virus in 1999. We report here the WNV sequences obtained from 19 human samples acquired during the 2012 U.S. outbreak and our examination of the evolutionary dynamics in WNV isolates sequenced from 1999–2012. Maximum-likelihood and Bayesian methods were used to perform the phylogenetic analyses. Selection pressure analyses were performed with the HyPhy package using the Datamonkey web-server. Using different codon-based and branch-site selection models, we detected a number of codons subjected to positive pressure in WNV genes. Thirteen of the 19 completely sequenced isolates from 10 U.S. states were genetically similar, sharing up to 55 nucleotide mutations and 4 amino acid substitutions when compared with the prototype isolate WN-NY99. Overall, these analyses showed that following a brief contraction in 2008–2009, WNV genetic divergence in the U.S. continued to increase in 2012, and that closely related variants were found across a broad geographic range of the U.S., coincident with the second-largest WNV outbreak in U.S. history.</p></div

    Evolutionary fingerprint based on 1000 distribution samples (Datamonkey server www.datamonkey.org).

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    <p>The plot depicts the estimate of the distribution of synonymous and non-synonymous rates inferred from alignment of WNV sequences (n = 77) from strains collected in the US in 2012. The ellipses reflect a Gaussian-approximated variance in each individual rate estimate, and colored pixels show the density of the posterior sample of the distribution for a given rate. The diagonal line represents the idealized neutral evolution scenario (ω = 1), points above the line correspond to positive selection (ω>1), and points below the line to negative selection (ω<1).</p

    Increasing evolutionary divergence of North American WNV strains over the time of collection.

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    <p>Y-axis: Substitutions per site. X-axis: Years. Blue line: average divergence over sequence pairs within years; the numbers of base substitutions per site from averaging over all sequence pairs within each year are shown. Red line: divergence over sequence pairs between 1999 and other years; the numbers of base substitutions per site from averaging over all sequence pairs between 1999 and other years are shown. Green line: estimates of net evolutionary divergence between groups of sequences, 1999–2012: the numbers of base substitutions per site from estimation of net average between groups of sequences corresponding to each year are shown. Analyses were conducted in MEGA6 [<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0004717#pntd.0004717.ref024" target="_blank">24</a>] using the Maximum Composite Likelihood model [<a href="http://www.plosntds.org/article/info:doi/10.1371/journal.pntd.0004717#pntd.0004717.ref046" target="_blank">46</a>].</p

    Maximum clade credibility tree from Bayesian analysis of WNV strains from North America, 1999–2012 (n = 870).

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    <p>A) WNV genotypes are color-coded in the branches of the tree as NY99 (black), WN02 (blue), SW/WN03 (purple) and cluster MW/WN06 (red). Nodes 1 to 6 containing WNV isolates from this study are highlighted in green and shown in detail. The mean time to the most recent common ancestor (tMRCA) is shown in each principal node. The 95% highest probability densities (95% HPD) for each node age are shown as blue bars. B) Bayesian coalescent inference of genetic diversity and population dynamics using the Bayesian Skyline plot. The X axis represents years of study and the Y axis, the relative genetic diversity product of the effective population size.</p
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