Development of an automated biomaterial platform to study mosquito feeding behavior

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dc.citation.articleNumber1103748
dc.citation.journalTitleFrontiers in Bioengineering and Biotechnology
dc.citation.volumeNumber11
dc.contributor.authorJanson, Kevin D.
dc.contributor.authorCarter, Brendan H.
dc.contributor.authorJameson, Samuel B.
dc.contributor.authorde Verges, Jane E.
dc.contributor.authorDalliance, Erika S.
dc.contributor.authorRoyse, Madison K.
dc.contributor.authorKim, Paul
dc.contributor.authorWesson, Dawn M.
dc.contributor.authorVeiseh, Omid
dc.date.accessioned2023-02-16T20:32:55Z
dc.date.available2023-02-16T20:32:55Z
dc.date.issued2023
dc.description.abstractMosquitoes carry a number of deadly pathogens that are transmitted while feeding on blood through the skin, and studying mosquito feeding behavior could elucidate countermeasures to mitigate biting. Although this type of research has existed for decades, there has yet to be a compelling example of a controlled environment to test the impact of multiple variables on mosquito feeding behavior. In this study, we leveraged uniformly bioprinted vascularized skin mimics to create a mosquito feeding platform with independently tunable feeding sites. Our platform allows us to observe mosquito feeding behavior and collect video data for 30–45 min. We maximized throughput by developing a highly accurate computer vision model (mean average precision: 92.5%) that automatically processes videos and increases measurement objectivity. This model enables assessment of critical factors such as feeding and activity around feeding sites, and we used it to evaluate the repellent effect of DEET and oil of lemon eucalyptus-based repellents. We validated that both repellents effectively repel mosquitoes in laboratory settings (0% feeding in experimental groups, 13.8% feeding in control group, p < 0.0001), suggesting our platform’s use as a repellent screening assay in the future. The platform is scalable, compact, and reduces dependence on vertebrate hosts in mosquito research.
dc.identifier.citationJanson, Kevin D., Carter, Brendan H., Jameson, Samuel B., et al.. "Development of an automated biomaterial platform to study mosquito feeding behavior." <i>Frontiers in Bioengineering and Biotechnology,</i> 11, (2023) Frontiers Media S.A.: https://doi.org/10.3389/fbioe.2023.1103748.
dc.identifier.doihttps://doi.org/10.3389/fbioe.2023.1103748
dc.identifier.urihttps://hdl.handle.net/1911/114457
dc.language.isoeng
dc.publisherFrontiers Media S.A.
dc.rightsThis is an author's post-print. The published article is copyrighted by the author and distributed under the terms of the Creative Commons Attribution License (CC BY).
dc.titleDevelopment of an automated biomaterial platform to study mosquito feeding behavior
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpost-print
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