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100 results for “Yellow fever”
Long-term immunity against yellow fever in children vaccinated during infancy: a longitudinal cohort study
<p>The data represent the concentrations of specific neutralizing antibodies following infant immunization against yellow fever. We used a microneutralization assay to measure protective antibodies against yellow fever virus in 587 Malian and 436 Ghanaian children vaccinated around age 9 months, and followed for 4.5 years (Mali), or 2.5 and 6 years (Ghana). We standardized antibody concentrations with reference to the yellow fever WHO International Standard.</p> <p>The serum samples used in this study, and the sample metadata included in the present dataset originate from trials of the meningococcal group A conjugate vaccine, MenAfriVac, namely the PsATT-004 (phase II) and Pers-004 (phase IV) studies in Ghana, and the PsATT-007 (phase III) and Pers-007 (phase IV) studies in Mali (clinical trial registry numbers ISRCTN82484612, ISRCTN10763234, PACTR201110000328305, and ISRCTN37623829). MenAfriVac was developed by PATH and Serum Institute India Pvt. Ltd. (SIIPL).</p> <p>This dataset consists of three files:</p> <p>1. Ghana group data | Tab-delimited text file: Yellow_fever_nAb_Ghana.csv</p> <p>2. Mali group data | Tab-delimited text file: Yellow_fever_nAb_Mali.csv</p> <p>3. Data dictionary | PDF file: Yellow_fever_nAb_Data_Dictionary.pdf</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
Asaia spp. accelerate development of the yellow fever mosquito, Aedes aegypti, via interactions with the vertically transmitted larval microbiome
<p><strong><span>Background:</span></strong><em> Aedes aegypti</em> mosquitoes are the primary vectors of yellow fever, dengue, chikungunya and Zika virus. Control programs primarily rely on insecticide application, which encounter challenges related to efficacy and resistance evolution. Alternative strategies, such as the sterile insect technique, highly depend on efficient mass-rearing of healthy insects prior to mass release. Based on effects seen in other mosquito species, we tested the hypothesis that acetic acid bacteria <span>of the </span><em>Asaia</em> <span>genus are</span> mutualist<span>s</span> for developing <em>Ae. aegypti</em> larvae. We tested for beneficial interactions across three <em>Asaia </em>species and whether <em>Asaia</em> inoculation benefited both axenic and conventionally reared larvae. To better understand the underlying mechanisms, we characterized the larval microbiome<span> </span>using culture-based methods and 16S rRNA gene amplicon sequencing.</p> <p><strong>Results:</strong><span> <span>Even</span></span> though <em>Asaia </em>bacteria were transient members of the gut community in conventionally reared insects<span>, t</span>wo <em>Asaia </em>species accelerated larval development relative to controls.<span> Despite their transient nature, </span>the two mutualist <em>Asaia</em> species had lasting impacts on the larval microbiome, mostly by altering the relative abundance of the most dominant bacteria genera <em>Klebsiella</em> and <em>Pseudomonas</em> and other minor components<span>.</span> Axenic larvae that were inoculated with <em>Asaia </em>were dominated by this group, but always exhibited slower development than conventionally reared insects.</p> <p><strong>Conclusions:</strong> These results reveal <em>Asaia</em> as a poor mutualist for <em>Ae. aegypti</em>, with its<em> </em>positive effect on the host mediated by interactions with other bacteria. A practical application of <em>Asaia </em>for improving mass-rearing efficiency results from the acceleration of development time to pupation by a day.</p>
Figure 6 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 6. Aedes aegypti larval mortality when exposed to 1000 infective juveniles (IJs) of Heterorhabditis bacteriophora at different depths of water.
Figure 2 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 2. Susceptibility of Aedes aegypti larvae to different species of EPN. Five 3rd instar larvae exposed to 1000 infective juveniles (IJs) and mortality assessed daily over 3-day period (DPI).
Figure 4 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 4. Melanization of Heterorhabditis bacteriophora within Aedes aegypti larvae (3rd instar). A melanized H. bacteriophora within dead Ae. aegypti larvae (a), close up picture of melanized nematode upon larval dissection (b), nematodes representing different stages of melanization recovered from one dead Ae. aegypti larvae (c). Arrows indicate melanized nematode within Ae. aegypti larvae.
Figure 7 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 7. Aedes aegypti larval mortality when exposed to supernatants and cell suspensions of Xenorhabdus nematophila (X. n.) and Photorhabdus laumondii (P. l.) in 24 well plates. Different uppercase or lower letters above error bars indicate statistical significance (Tukey's test p ≤ 0.05).
Figure 3 in Indiscriminate ingestion of entomopathogenic nematodes and their symbiotic bacteria by Aedes aegypti larvae: a novel strategy to control the vector of Chikungunya, dengue and yellow fever
Figure 3. Different stages of Heterorhabditis bacteriophora colonization of Aedes aegypti larvae (3rd instar). H. bacteriophora within larvae at 2-day post inoculation (a), H. bacteriophora emerging out of larvae upon larval dissection at 7-day post inoculation) (b), adult H. bacteriophora within larvae along with large number of infective juveniles (IJs) released from another adult H. bacteriophora (c). Black arrows indicate adult H. bacteriophora, whereas green arrows indicate newly emerged IJs.
Interferon-induced activation of dendritic cells and monocytes by yellow fever vaccination correlates with early antibody responses
<p>Bulk RNA-seq analysis of sorted subpopulations isolated from PBMC of yellow fever vaccinees from before and 3, 7, 14 and 28 days after vaccination and single cell RNA-seq analysis of sorted DC and monocytes fractions isolated from PBMC of of yellow fever vaccinees from before and 3 and 7 days after vaccination.</p>
Genomic epidemiology unveils the dynamics and spatial corridor behind the Yellow Fever virus outbreak in Southern Brazil
<p>Despite the considerable morbidity and mortality of yellow fever virus (YFV) infections in Brazil our understanding of disease outbreaks is hampered by limited viral genomic data. Determining the timing and spatial corridors of YFV spread, as well as the geographic hotspots that link the endemic north of the country with epidemic extra-Amazonian regions, are central to predicting and preventing future outbreak and epidemics. Here, we tracked the recent spread of the virus by integrating genome sequences with both epidemiological and vector data. Through a combination of phylogenetic and epidemiological models we reconstructed the recent transmission history of YFV within different epidemic seasons in Brazil. A suitability index based on the highly domesticated <em>Aedes aegypti</em> was able to capture the seasonality of reported human infections. Spatial modelling revealed spatial hotspots with both past reporting and low vaccination coverage, which coincided with many of the largest urban centres in the Southeast. Phylodynamic analysis unravelled the circulation of three distinct YFV lineages, and provided proof of the directionality of a known spatial corridor of viral spread that connects the endemic North with the extra-Amazonian basin. This study illustrates that genomics linked with eco-epidemiology in a One Health framework can provide new insights into the landscape of YFV transmission, augmenting traditional approaches to infectious disease surveillance and control.</p>
Immune Response to Different Schedules of a Tetravalent Dengue Vaccine Given With or Without Yellow Fever Vaccine
ClinicalTrials.gov study NCT01488890. IPD Sharing: YES. Countries: 1. Publications: 1.
Study on an Investigational Yellow Fever Vaccine Compared With YF-VAX in Adults in the USA
ClinicalTrials.gov study NCT04942210. IPD Sharing: YES. Countries: 1. Publications: 0.
Dataset for: Hug et al. Unexpected behavioural adaptation of yellow fever mosquitoes in response to high temperatures
<p>Dataset for the manuscript: Hug et al. Unexpected behavioural adaptation of yellow fever mosquitoes in response to high temperatures</p>
Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti
<p><strong>* These authors contributed equally: </strong>Alejandro N. Lozada-Chávez, Irma Lozada-Chávez.</p> <h3> </h3> <h1>Supplementary Dataset</h1> <p> </p> <p>This repository contains the <strong> Supplementary Data (from 1 to 12) </strong>cited in our paper "Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti" in <em>Nature Ecology and Evolution</em>: <a title="Aedes aegypti domestication." href="https://doi.org/10.1038/s41559-025-02643-5">https://doi.org/10.1038/s41559-025-02643-5</a></p> <p>These datasets are available in the section "Supplementary Information" of our paper, but with the absence of the SD-9 due its large big size (~3Gb after decompressed). Here you can find the complete set of datasets in a single ZIP file:</p> <p><strong>41559_2025_2643_MOESM5_ESM_Supplementary_Data.zip</strong></p> <p> </p> <p><strong>LIST OF DATASETS:</strong></p> <p>1) Supplementary Data 1. SNP statistics for populations through genomic regions (TXT). <br>2) Supplementary Data 2. Sequences of new detected nrEVEs (FASTA). <br>3) Supplementary Data 3. Phylogenetic trees for populations and individuals (NEWICK). <br>4) Supplementary Data 4. Information for 8,120 hard selective sweeps detected with RAiSD in out-of-Africa populations (TXT). <br>5) Supplementary Data 5. Information for 1,030 SNP outliers detected with PCAdapt within 2,266 genes (VCF format). <br>6) Supplementary Data 6. Matrix with DoS scores for 11,651 orthologous protein-coding genes in AaegL5 and each Ae. aegypti population (TXT). <br>7) Supplementary Data 7. Matrix with MKT scores for 11,651 orthologous protein-coding genes in AaegL5 and each Ae. aegypti population (TXT). <br>8) Supplementary Data 8. Matrix with DoS scores used to estimate relaxed selection (TXT). <br>9) Supplementary Data 9. Matrix with SNPs and genomic coordinates within adaptive protein-coding genes and ncRNAs that are shared or private for out-of-Africa populations against African populations (TXT). <br>10) Supplementary Data 10. Matrix with 483 nonsynonymous SNPs and their allele frequencies for our 40 populations Florida and Colombia (TXT).<br>11) Supplementary Data 11. Genomic coordinates of SNPs in AaegL5 obtained from the literature and VectorBase (TXT). <br>12) Supplementary Data 12. Source data of metrics used to plot Figure 4b (TXT).</p> <p> </p> <p><strong>UPDATES NOTE:</strong></p> <ul> <li><strong>Repository version 3.</strong> Final version of datasets for the accepted manuscript.</li> <li><strong>Repository version 2.</strong> Incomplete datasets: Files as prelimary versions and their content may vary. The SD-10 is not present (matrix with 483 SNPs) was added. The SD-7 is a broken file (cannot be opened).</li> <li><strong>Repository version 1. </strong> Incomplete datasets: Files as prelimary versions and their content may vary. Two final SD files are not present.</li> </ul> <p> </p> <p><strong>CITATION OF THIS REPOSITORY:</strong></p> <p>Lozada-Chávez, A. N., Lozada-Chávez, I., Alfano, N., Palatini, U., Sogliani, D., Elfekih, S., Degefa, T., Sharakhova, M. V., Badolo, A., Patchara, S., Casas-Martinez, M., Carlos, B. C., Carballar-Lejarazú, R., Lambrechts, L., Souza-Neto, J. A., & Bonizzoni, M. (2024). Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti [Data set]. Zenodo. https://doi.org/10.5281/zenodo.14948092</p> <p> </p> <p> </p>
Data from: The effect of parasite infection on the recombination rate of the yellow fever mosquito Aedes aegyti
Sexual reproduction and meiotic recombination generate new genetic combinations and may thereby help an individual infected by a parasite to protect its offspring from being infected. While this idea is often used to understand the evolutionary forces underlying the maintenance of sex and recombination, it also suggests that infected individuals should increase plastically their rate of recombination. We tested the latter idea with the mosquito Aedes aegypti and asked whether females infected by the microsporidian Vavraia culicis were more likely to have recombinant offspring than uninfected females. To measure the rate of recombination over a chromosome we analysed combinations of microsatellites on chromosome 3 in infected and uninfected females, in the (uninfected) males they copulated with and in their offspring. As predicted, the infected females were more likely to have recombinant offspring than the uninfected ones. These results show the ability of a female to diversify her offspring in response to parasitic infection by plastically increasing her recombination rate.
The current and future distribution of the yellow fever mosquito (Aedes aegypti) on Madeira Island [data set].
<p><strong>Additional data for manuscript:</strong> "The current and future distribution of the yellow fever mosquito (<em>Aedes aegypti</em>) on Madeira Island" published in PLOS Neglected Tropical Diseases by José Maurício Santos, César Capinha, Jorge Rocha, Carla Alexandra Sousa.</p> <p><strong>Corresponding authors:</strong> José Maurício Santos (josemauriciosantos@campus.ul.pt) & César Capinha (cesarcapinha@campus.ul.pt).</p> <p> </p> <p> </p> <p> </p>
Immunogenicity of Yellow Fever Vaccine in a Pediatric Population Vaccinated at 12-23 Months of Age in Argentina
ClinicalTrials.gov study NCT05644145. IPD Sharing: YES. Countries: 1. Publications: 6.
Trial of Yellow Fever Inactivated Vaccine
ClinicalTrials.gov study NCT00995865. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Study of the Safety and Immunogenicity of Reduced Doses of the US Yellow Fever Vaccine
ClinicalTrials.gov study NCT05374317. IPD Sharing: NO. Countries: 1. Publications: 14.
Dose-ranging Study of an Investigational Yellow Fever Candidate Vaccine in Adults
ClinicalTrials.gov study NCT04142086. IPD Sharing: YES. Countries: 1. Publications: 1.
Immune Response to Yellow Fever Vaccination in Adults With Atopic Dermatitis
ClinicalTrials.gov study NCT00723489. IPD Sharing: Not stated. Countries: 1. Publications: 1.
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