Mechanical transmission of dengue virus by Aedes aegypti may influence disease transmission dynamics during outbreaks
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. We used a mouse model of d...
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| Veröffentlicht in: | EBioMedicine 2023-08, Vol.94, p.104723-104723, Article 104723 |
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| creator | Li, Hsing-Han Su, Matthew P. Wu, Shih-Cheng Tsou, Hsiao-Hui Chang, Meng-Chun Cheng, Yu-Chieh Tsai, Kuen-Nan Wang, Hsin-Wei Chen, Guan-Hua Tang, Cheng-Kang Chung, Pei-Jung Tsai, Wan-Ting Huang, Li-Rung Yueh, Yueh Andrew Chen, Hsin-Wei Pan, Chao-Ying Akbari, Omar S. Chang, Hsiao-Han Yu, Guann-Yi Marshall, John M. Chen, Chun-Hong |
| description | 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.
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.
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 suggest that this supplemental transmission route could result in larger outbreaks which peak sooner.
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.
This study was funded by grants from the National Health Research Institutes, Taiwan (04D2-MMMOST02), the Human Frontier Science Program (RGP0033/2021), the National Institutes of Health (1R01AI143698-01A1, R01AI151004 and DP2AI152071) and the Ministry of Science and Technology, Taiwan (MOST104-2321-B-400-016). |
| doi_str_mv | 10.1016/j.ebiom.2023.104723 |
| format | Article |
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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.
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 suggest that this supplemental transmission route could result in larger outbreaks which peak sooner.
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.
This study was funded by grants from the National Health Research Institutes, Taiwan (04D2-MMMOST02), the Human Frontier Science Program (RGP0033/2021), the National Institutes of Health (1R01AI143698-01A1, R01AI151004 and DP2AI152071) and the Ministry of Science and Technology, Taiwan (MOST104-2321-B-400-016).</description><identifier>ISSN: 2352-3964</identifier><identifier>EISSN: 2352-3964</identifier><identifier>DOI: 10.1016/j.ebiom.2023.104723</identifier><identifier>PMID: 37487418</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Aedes aegypti mosquito ; Animal models of dengue virus ; Dengue transmission ; Mathematical modelling of disease outbreak</subject><ispartof>EBioMedicine, 2023-08, Vol.94, p.104723-104723, Article 104723</ispartof><rights>2023 The Authors</rights><rights>Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.</rights><rights>2023 The Authors 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c460t-33d14735839c35af3cb79b1bbdfe242a378abc9c123e93321b0829a8bd1249e63</citedby><cites>FETCH-LOGICAL-c460t-33d14735839c35af3cb79b1bbdfe242a378abc9c123e93321b0829a8bd1249e63</cites><orcidid>0000-0002-0828-9019 ; 0000-0003-4984-7942</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382859/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10382859/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37487418$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Hsing-Han</creatorcontrib><creatorcontrib>Su, Matthew P.</creatorcontrib><creatorcontrib>Wu, Shih-Cheng</creatorcontrib><creatorcontrib>Tsou, Hsiao-Hui</creatorcontrib><creatorcontrib>Chang, Meng-Chun</creatorcontrib><creatorcontrib>Cheng, Yu-Chieh</creatorcontrib><creatorcontrib>Tsai, Kuen-Nan</creatorcontrib><creatorcontrib>Wang, Hsin-Wei</creatorcontrib><creatorcontrib>Chen, Guan-Hua</creatorcontrib><creatorcontrib>Tang, Cheng-Kang</creatorcontrib><creatorcontrib>Chung, Pei-Jung</creatorcontrib><creatorcontrib>Tsai, Wan-Ting</creatorcontrib><creatorcontrib>Huang, Li-Rung</creatorcontrib><creatorcontrib>Yueh, Yueh Andrew</creatorcontrib><creatorcontrib>Chen, Hsin-Wei</creatorcontrib><creatorcontrib>Pan, Chao-Ying</creatorcontrib><creatorcontrib>Akbari, Omar S.</creatorcontrib><creatorcontrib>Chang, Hsiao-Han</creatorcontrib><creatorcontrib>Yu, Guann-Yi</creatorcontrib><creatorcontrib>Marshall, John M.</creatorcontrib><creatorcontrib>Chen, Chun-Hong</creatorcontrib><title>Mechanical transmission of dengue virus by Aedes aegypti may influence disease transmission dynamics during outbreaks</title><title>EBioMedicine</title><addtitle>EBioMedicine</addtitle><description>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.
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.
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 suggest that this supplemental transmission route could result in larger outbreaks which peak sooner.
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.
This study was funded by grants from the National Health Research Institutes, Taiwan (04D2-MMMOST02), the Human Frontier Science Program (RGP0033/2021), the National Institutes of Health (1R01AI143698-01A1, R01AI151004 and DP2AI152071) and the Ministry of Science and Technology, Taiwan (MOST104-2321-B-400-016).</description><subject>Aedes aegypti mosquito</subject><subject>Animal models of dengue virus</subject><subject>Dengue transmission</subject><subject>Mathematical modelling of disease outbreak</subject><issn>2352-3964</issn><issn>2352-3964</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNp9UctOHDEQtKJEARG-IFLkI5dd_JodzyFCCJGABOKSnC0_ehZvZuyNPV5p_h5vFhBccupWu7q6XIXQV0qWlNDV-WYJxsdxyQjjdSJaxj-gY8YbtuDdSnx80x-h05w3hBDaiDqUn9ERb4VsBZXHqNyDfdTBWz3gKemQR5-zjwHHHjsI6wJ451PJ2Mz4EhxkrGE9byePRz1jH_qhQLCAnc-gM7zncHPQo7cZu5J8WONYJpNA_8lf0KdeDxlOn-sJ-v3j-tfVzeLu4eft1eXdwooVmRacOyraKpl3lje659a0naHGuB6YYJq3UhvbWco4dJwzaohknZbGUSY6WPETdHHg3RYzgrMQqr5BbZMfdZpV1F69fwn-Ua3jTlHCJZNNVxnOnhlS_FsgT6p-zsIw6ACxZMVktVES0tAK5QeoTTHnBP3rHUrUPjS1Uf9CU_vQ1CG0uvXtrcTXnZeIKuD7AQDVqJ2HpLL1e8-dT2An5aL_74EnCjCsZw</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Li, Hsing-Han</creator><creator>Su, Matthew P.</creator><creator>Wu, Shih-Cheng</creator><creator>Tsou, Hsiao-Hui</creator><creator>Chang, Meng-Chun</creator><creator>Cheng, Yu-Chieh</creator><creator>Tsai, Kuen-Nan</creator><creator>Wang, Hsin-Wei</creator><creator>Chen, Guan-Hua</creator><creator>Tang, Cheng-Kang</creator><creator>Chung, Pei-Jung</creator><creator>Tsai, Wan-Ting</creator><creator>Huang, Li-Rung</creator><creator>Yueh, Yueh Andrew</creator><creator>Chen, Hsin-Wei</creator><creator>Pan, Chao-Ying</creator><creator>Akbari, Omar S.</creator><creator>Chang, Hsiao-Han</creator><creator>Yu, Guann-Yi</creator><creator>Marshall, John M.</creator><creator>Chen, Chun-Hong</creator><general>Elsevier B.V</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-0828-9019</orcidid><orcidid>https://orcid.org/0000-0003-4984-7942</orcidid></search><sort><creationdate>20230801</creationdate><title>Mechanical transmission of dengue virus by Aedes aegypti may influence disease transmission dynamics during outbreaks</title><author>Li, Hsing-Han ; 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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.
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.
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 suggest that this supplemental transmission route could result in larger outbreaks which peak sooner.
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.
This study was funded by grants from the National Health Research Institutes, Taiwan (04D2-MMMOST02), the Human Frontier Science Program (RGP0033/2021), the National Institutes of Health (1R01AI143698-01A1, R01AI151004 and DP2AI152071) and the Ministry of Science and Technology, Taiwan (MOST104-2321-B-400-016).</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>37487418</pmid><doi>10.1016/j.ebiom.2023.104723</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-0828-9019</orcidid><orcidid>https://orcid.org/0000-0003-4984-7942</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Aedes aegypti mosquito Animal models of dengue virus Dengue transmission Mathematical modelling of disease outbreak |
| title | Mechanical transmission of dengue virus by Aedes aegypti may influence disease transmission dynamics during outbreaks |
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