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278 results for “Dengue virus”
Data from: Blockade of dengue virus transmission from viremic blood to Aedes aegypti mosquitoes using human monoclonal antibodies
Background <p class="CxSpFirst">Dengue is the most prevalent arboviral disease of humans. Virus neutralizing antibodies are likely to be critical for clinical immunity after vaccination or natural infection. A number of human monoclonal antibodies (mAbs) have previously been characterized as able to neutralize the infectivity of dengue virus (DENV) for mammalian cells in cell-culture systems.</p> <p class="CxSpLast"> </p> Methodology/Principle findings <p class="CxSpFirst">We tested the capacity of 12 human mAbs, each of which had previously been shown to neutralize DENV in cell-culture systems, to abrogate the infectiousness of dengue patient viremic blood for mosquitoes. Seven of the twelve mAbs (1F4, 14c10, 2D22, 1L12, 5J7, 747(4)B7, 753(3)C10), almost all of which target quaternary epitopes, inhibited DENV infection of <i>Ae. aegypti</i>. The mAbs 14c10, 747(4)B7 and 753(3)C10 could all inhibit transmission of DENV in low microgram per mL concentrations. An Fc-disabled variant of 14c10 was as potent as its parent mAb.</p> <p class="CxSpLast"> </p> Conclusions/Significance <p class="CxSpFirst">The results demonstrate that mAbs can neutralize infectious DENV derived from infected human cells, in the matrix of human blood. Coupled with previous evidence of their ability to prevent DENV infection of mammalian cells, such mAbs could be considered attractive antibody classes to elicit with dengue vaccines, or alternatively, for consideration as therapeutic candidates.</p>
Thermal adaptation in Aedes aegypti does not constrain temperature-sensitive growth of bacteria or dengue virus
<p>Data set and R script used for the following manuscript : </p> <p><strong>Thermal adaptation in <em>Aedes aegypti</em> does not constrain temperature-sensitive growth of bacteria or dengue virus</strong></p> <p><span lang="EN-US">Alida Kropf<sup>1*#</sup>, Stéphanie Dabo<sup>2</sup>, Marine Amann<sup>3</sup>, Louis Lambrechts<sup>2</sup>, Jacob C Koella<sup>1</sup></span></p> <p><span lang="EN-US">PROCEEDINGS OF THE ROYAL SOCIETY B THE ROYAL SOCIETY B BIOLOGICAL SCIENCES</span></p> <p><strong><em><span lang="IT-CH">DOI: 10.1098/rspb.2025-0832.R1 </span></em></strong></p>
Data for Seropositivity to Dengue virus DENV in three neighborhoods in the periphery of a city with a recent history of outbreaks in Argentina: what can we learn from unreported cases?
<p>This release include the datasets, R scripts and interactive maps generated for the manuscript: Seropositivity to Dengue virus DENV in three neighborhoods in the periphery of a city with a recent history of outbreaks in Argentina: what can we learn from unreported cases? Authors: DA Mendicino, T Ricardo, MA Cristaldi, M Maglianesi, G Guzmán S Claussen, RG Chiaraviglio, CA Ávalos, MA Previtali. (2024).</p>
Fig. 2 a in Circulating dengue virus serotypes and vertical transmission in AEdES larvae during outbreak and inter-outbreak seasons in a high dengue risk area of Sri Lanka
Fig. 2 a Distribution of dengue cases in the Kegalle District and Mawanella MOH area, Sri Lanka from December 2015 to March 2017. b Distribution of DENV serotypes in patients and distribution of Aedes mosquito larvae in and around the residences of dengue patients in Mawanella from December 2015 to March 2017. Abbreviations: DENV1, -2, -3, -4, DENV serotypes 1, 2, 3, 4
Datasets underlying the publication "A new lineage nomenclature to aid genomic surveillance of dengue virus"
<p>These datasets are underlying the scientific publication titled "A new lineage nomenclature to aid genomic surveillance of dengue virus", published in the <a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002834#abstract0">PLOS Biology</a> journal. </p> <p>All sequences used to design the lineage system are from Genbank and GISAID, with accession numbers listed in the tables. Custom scripts and alignments of representative sequences from Genbank can be found on the github of the publication authors (<a href="https://github.com/DENV-lineages/lineages-paper">https://github.com/DENV-lineages/lineages-paper</a>).</p> <p>Sequences for the Vietnam case study can be found on Genbank under accession numbers PP269455-PP270050, in bioproject PRJNA1072696. For the case study from Tanzania, sequences can be found on Genbank under accession numbers OM920035-OM920066 for DENV-3 and OM920075-OM920415 for DENV-1. Sequences for the Brazil case study can be found on GISAID under accession numbers EPI_ISL_17733558 ‐ EPI_ISL_191469691.<br><br>The provided information in the datasets are further discussed and interpreted in detail, as well as their subsequent results, in the scientific publication.</p> <p>VIRTIGATION partner EMWEB contributed to this publication with findings from the VIRTIGATION project, a project which is part of the EU Open Research Data pilot. This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 101000570.</p>
Data from: Blockade of dengue virus transmission from viremic blood to Aedes aegypti mosquitoes using human monoclonal antibodies
Open the record for dataset details and reuse information.
RNA sequences for Aedes species, Dengue, and Chikungunya viruses
<p>There are arthropod-borne disease outbreaks as a result of pathogen influx including arboviruses which are transmitted by strains of <em>Aedes</em> species that occur periodically in varying spots on the globe. The aim of this study was to determine phylogenetic relationship of <em>Aedes</em> mosquitoes, Dengue, and Chikungunya viruses along the Coastline of Kenya based on sequences of:</p> <ol> <li>mitochondria nicotinamide adenine dehydrogenase sub unit 4 gene for Aedes species.</li> <li>non-structural protein 5 gene for Dengue virus</li> <li>non-structural protein 1 gene for Chikungunya virus</li> </ol>
Underlying data for 'Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes'
<p>The pantropic emergence of severe dengue disease can partly be attributed to the co-circulation of different dengue viruses (DENVs) in the same geographical location. Effective monitoring for circulation of each of the four DENVs is critical to inform disease mitigation strategies. In low resource settings, this can be effectively achieved by utilizing inexpensive, rapid, sensitive and specific assays to detect viruses in mosquito populations. In this study, we developed four rapid DENV tests with direct applicability for low-resource virus surveillance in mosquitoes. The test protocols utilize a novel sample preparation step, a single-temperature isothermal amplification, and a simple lateral flow detection. Analytical sensitivity testing demonstrated tests could detect down to 1,000 copies/µL of virus-specific DENV RNA, and analytical specificity testing indicated tests were highly specific for their respective virus, and did not detect closely related flaviviruses. All four DENV tests showed excellent diagnostic specificity and sensitivity when used for detection of both individually infected mosquitoes and infected mosquitoes in pools of uninfected mosquitoes. With individually infected mosquitoes, the rapid DENV-1, -2 and -3 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=8 for DENV-1; n=10 for DENV 2,3) and the DENV-4 test showed 92% diagnostic sensitivity (CI: <span>62% to 100%, n=12</span>) along with 100% diagnostic specificity (CI: 48–100%) for all four tests. Testing infected mosquito pools, the rapid DENV-2, -3 and -4 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=10) and the DENV-1 test showed 90% diagnostic sensitivity (<span>55.50% to 99.75%, n=10</span>) together with 100% diagnostic specificity (CI: 48–100%). Our tests reduce the operational time required to perform mosquito infection status surveillance testing from > two hours to only 35 minutes, and have potential to improve accessibility of mosquito screening, improving monitoring and control strategies in low-income countries most affected by dengue outbreaks.</p>
Selection pressure analysis of dengue virus complete genome and E gene nucleotide sequences from Pakistan
<p>This dataset comprises 43 E gene and 44 complete genome nucleotide sequences of the dengue virus from serotypes DENV-1 to DENV-4, representing all documented sequences in Pakistan to date, sourced from the Virus Pathogen Resource (ViPR) database and NCBI. The E gene is critical as it is involved in serotype changes of the dengue virus, making it a pivotal target for understanding shifts in viral pathogenicity and immune escape mechanisms. The aim of compiling this dataset is to facilitate comprehensive genetic analysis and enhance understanding of the evolutionary dynamics of the dengue virus within the region. To assess the evolutionary pressures acting on these sequences, we conducted a selection pressure analysis utilizing computational methods. These methods include the Single Likelihood Ancestor Counting (SLAC), Fixed Effects Likelihood (FEL), adaptive Branch Site Random Effects Likelihood (aBSREL), Mixed Effects Model of Evolution (MEME), and the Genetic Algorithm for Recombination Detection (GARD), all implemented in the HyPhy software package. Our analysis focused on identifying genomic sites under both positive and negative selection pressures, providing insights into the adaptive evolutionary processes affecting the E gene of the dengue virus in Pakistan. Understanding the molecular evolution of this gene is crucial for predicting serotype evolution, potentially aiding in the development of effective vaccines and therapeutic strategies.</p>
Fig. 1 in Circulating dengue virus serotypes and vertical transmission in AEdES larvae during outbreak and inter-outbreak seasons in a high dengue risk area of Sri Lanka
Fig. 1 Map of Sri Lanka showing the location of Mawanella, the study area
Table 2 in Circulating dengue virus serotypes and vertical transmission in AEdES larvae during outbreak and inter-outbreak seasons in a high dengue risk area of Sri Lanka
<p><b>Table 2</b> Distribution of DENV serotypes in patients with suspected dengue and in <i>Aedes</i> mosquito larvae</p><table><tbody><tr><th>Patient no.</th><th><i>Ae. aegypti</i></th><th><i>Ae. albopictus</i></th><th>DENV serotype identified in mosquito pools</th><th>DENV serotype identified in patients</th></tr></tbody><tbody><tr><th>1</th><td>Detected</td><td>ND</td><td>DENV-3</td><td>DENV-3</td></tr><tr><th>2</th><td>ND</td><td>Detected</td><td>DENV-1</td><td>DENV-1</td></tr><tr><th>3</th><td>ND</td><td>Detected</td><td>DENV-3</td><td>DENV-3</td></tr><tr><th>4</th><td>ND</td><td>Detected</td><td>DENV-4</td><td>ND</td></tr><tr><th>5</th><td>ND</td><td>Detected</td><td>DENV-3</td><td>ND</td></tr><tr><th>6</th><td>ND</td><td>Detected</td><td>DENV-1</td><td>ND</td></tr><tr><th>7</th><td>Detected</td><td>ND</td><td>DENV-2</td><td>ND</td></tr><tr><th>8</th><td>Detected</td><td>ND</td><td>DENV-1</td><td>ND</td></tr><tr><th>9</th><td>Detected</td><td>ND</td><td>DENV-1</td><td>ND</td></tr><tr><th>10</th><td>ND</td><td>Detected</td><td>DENV-3</td><td>ND</td></tr><tr><th>11</th><td>ND</td><td>Detected</td><td>DENV-2</td><td>ND</td></tr><tr><th>12</th><td>ND</td><td>Detected</td><td>DENV-2</td><td>DENV-1</td></tr><tr><th>13</th><td>ND</td><td>Detected</td><td>DENV-2</td><td>ND</td></tr><tr><th>14</th><td>ND</td><td>Detected</td><td>DENV-4</td><td>ND</td></tr><tr><th>15</th><td>ND</td><td>Detected</td><td>DENV-1</td><td>ND</td></tr><tr><th>16</th><td>ND</td><td>Detected</td><td>DENV-2</td><td>DENV-2</td></tr></tbody></table><p><i>ND</i> Not detected</p>
Table 1 in Circulating dengue virus serotypes and vertical transmission in AEdES larvae during outbreak and inter-outbreak seasons in a high dengue risk area of Sri Lanka
<p><b>Table 1</b> Distribution of <i>Aedes</i> mosquito larvae in and around residences of patients with suspected dengue in Mawanella from December 2015 to March 2017</p><table><tbody><tr><th>Period</th><th>Month and year of sample collection</th><th>Total no. of vector pools collected in entomological survey</th><th>No. of <i>Aedes</i> mosquito pools identified</th></tr><tr><th><i>Ae. aegypti</i></th><th><i>Ae. albopictus</i></th></tr></tbody><tbody><tr><th>Epidemic</th><td>12/2015</td><td>18</td><td>3</td><td>15</td></tr><tr><th></th><td>1/2016</td><td>22</td><td>8</td><td>14</td></tr><tr><th>Inter-epidemic</th><td>2/2016</td><td>5</td><td>0</td><td>5</td></tr><tr><th></th><td>3/2016</td><td>3</td><td>1</td><td>2</td></tr><tr><th></th><td>4/2016</td><td>4</td><td>1</td><td>3</td></tr><tr><th></th><td>5/2016</td><td>12</td><td>1</td><td>11</td></tr><tr><th></th><td>6/2016</td><td>15</td><td>9</td><td>6</td></tr><tr><th>Epidemic</th><td>7/2016</td><td>7</td><td>1</td><td>6</td></tr><tr><th></th><td>8/2016</td><td>5</td><td>2</td><td>3</td></tr><tr><th></th><td>9/2016</td><td>5</td><td>2</td><td>3</td></tr><tr><th>Inter-epidemic</th><td>10/2016</td><td>6</td><td>1</td><td>5</td></tr><tr><th></th><td>11/2016</td><td>6</td><td>1</td><td>5</td></tr><tr><th>Epidemic</th><td>12/2016</td><td>14</td><td>3</td><td>11</td></tr><tr><th></th><td>1/2017</td><td>23</td><td>8</td><td>15</td></tr><tr><th>Inter-epidemic</th><td>2/2017</td><td>1</td><td>0</td><td>1</td></tr><tr><th></th><td>3/2017</td><td>25</td><td>8</td><td>17</td></tr><tr><th>Total</th><td></td><td>171</td><td>49</td><td>122</td></tr></tbody></table>
Mechanical transmission of Dengue Virus by Aedes aegypti may influence disease transmission dynamics during outbreaks data
<strong><span>Summary</span></strong> <p class="MsoNormal"><em><span>Background</span></em><span>: Dengue virus outbreaks are increasing in number and severity worldwide. Viral transmission is assumed to require a minimum time period of viral replication within the mosquito midgut. It is unknown if alternative transmission periods not requiring replication are possible.</span></p> <p class="MsoNormal"><em><span>Methods</span></em><span>: We used a mouse model of dengue virus transmission to investigate the potential of mechanical transmission of dengue virus. We investigated minimal viral titres necessary for development of symptoms in bitten mice and used resulting parameters to inform a new model of dengue virus transmission within a susceptible population.</span></p> <p class="MsoNormal"><em><span>Findings</span></em><span>: Naïve mice bitten by mosquitoes immediately after they took partial blood meals from dengue infected mice showed symptoms of dengue virus, followed by mortality. Incorporation of mechanical transmission into mathematical models of dengue virus transmission suggests that this supplemental transmission route could result in larger outbreaks which peak sooner.</span></p> <p class="MsoNormal"><em><span>Interpretation</span></em><span>: The potential of dengue transmission routes independent of midgut viral replication has implications for vector control strategies that target mosquito lifespan and suggest the possibility of similar mechanical transmission routes in other disease-carrying mosquitoes.</span></p>
The Aedes aegypti RNA interference response against Zika virus in the context of co-infection with dengue and chikungunya viruses
<p>This is the corresponding data of the Publication in Plos Neglected tropical diseases.</p> <p>Zika virus (ZIKV) is a mosquito-borne human-pathogenic arbovirus of the <em>Flaviviridae</em> family, genus <em>Flavivirus</em>. Other arboviruses, including dengue (DENV) or chikungunya (CHIKV) virus, can occur in the same regions as ZIKV and are also transmitted by <em>Aedes aegypti</em>. Notably, it has been shown that these viruses can co-infect this mosquito, andco-transmission occurs. Such processes may add to the serious public health issues already linked to those pathogens. Arbovirus infections in mosquitoes are controlled through an immune response called RNA interference (RNAi). It is however unknown whether immune responses changs when a mosquito is exposed to a co-infection of ZIKV with either DENV or CHIKV. In this study, we provide evidence that ZIKV co-infections with CHIKV or DENV are similarly well controlled by RNAi as single infections. These findings give new insights into the dynamics of arboviral co-infections in mosquito vectors that increase our understanding of co-infection scenarios during arbovirus outbreaks.</p>
Immunogenicity and Safety of Tetravalent Dengue Vaccine (TDV) Co-administered With an Hepatitis A Virus Vaccine
ClinicalTrials.gov study NCT03525119. IPD Sharing: YES. Countries: 1. Publications: 1.
A Phase II Trial of a Live Attenuated Virus Tetravalent Dengue Vaccine in Healthy Adults in Thailand
ClinicalTrials.gov study NCT00370682. IPD Sharing: YES. Countries: 1. Publications: 1.
This Study Will Describe the Burden of DENgue Fever Virus (DENV) Illness Among Household Members Aged 6 Months to 50 Years of Selected Communities in Latin America and Southeast Asia
ClinicalTrials.gov study NCT02766088. IPD Sharing: Not stated. Countries: 2. Publications: 2.
GLS-5700 in Dengue Virus-Naïve Adults
ClinicalTrials.gov study NCT02809443. IPD Sharing: NO. Countries: 2. Publications: 1.
Safety and Immunogenicity of the Dengue Virus Vaccine TV005 (TetraVax-DV TV005) in Healthy Adults, Adolescents, and Children in Dhaka, Bangladesh
ClinicalTrials.gov study NCT02678455. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
A Two-dose Primary Vaccination Study of a Tetravalent Dengue Virus Purified Inactivated Vaccine vs. Placebo in Healthy Adults
ClinicalTrials.gov study NCT01666652. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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