Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy
The transmission of dengue (DENV) and Zika (ZIKV) has been continuously increasing worldwide. An efficient arbovirus surveillance system is critical to designing early-warning systems to increase preparedness of future outbreaks in endemic countries. The Near Infrared Spectroscopy (NIRS) is a promis...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-12-01
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| Series: | Viruses |
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| Online Access: | https://www.mdpi.com/1999-4915/15/1/11 |
| _version_ | 1797436584488861696 |
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| author | Gabriela A. Garcia Anton R. Lord Lilha M. B. Santos Tharanga N. Kariyawasam Mariana R. David Dinair Couto-Lima Aline Tátila-Ferreira Márcio G. Pavan Maggy T. Sikulu-Lord Rafael Maciel-de-Freitas |
| author_facet | Gabriela A. Garcia Anton R. Lord Lilha M. B. Santos Tharanga N. Kariyawasam Mariana R. David Dinair Couto-Lima Aline Tátila-Ferreira Márcio G. Pavan Maggy T. Sikulu-Lord Rafael Maciel-de-Freitas |
| author_sort | Gabriela A. Garcia |
| collection | DOAJ |
| description | The transmission of dengue (DENV) and Zika (ZIKV) has been continuously increasing worldwide. An efficient arbovirus surveillance system is critical to designing early-warning systems to increase preparedness of future outbreaks in endemic countries. The Near Infrared Spectroscopy (NIRS) is a promising high throughput technique to detect arbovirus infection in <i>Ae. aegypti</i> with remarkable advantages such as cost and time effectiveness, reagent-free, and non-invasive nature over existing molecular tools for similar purposes, enabling timely decision making through rapid detection of potential disease. Our aim was to determine whether NIRS can differentiate <i>Ae. aegypti</i> females infected with either ZIKV or DENV single infection, and those coinfected with ZIKV/DENV from uninfected ones. Using 200 <i>Ae. aegypti</i> females reared and infected in laboratory conditions, the training model differentiated mosquitoes into the four treatments with 100% accuracy. DENV-, ZIKV-, and ZIKV/DENV-coinfected mosquitoes that were used to validate the model could be correctly classified into their actual infection group with a predictive accuracy of 100%, 84%, and 80%, respectively. When compared with mosquitoes from the uninfected group, the three infected groups were predicted as belonging to the infected group with 100%, 97%, and 100% accuracy for DENV-infected, ZIKV-infected, and the co-infected group, respectively. Preliminary lab-based results are encouraging and indicate that NIRS should be tested in field settings to evaluate its potential role to monitor natural infection in field-caught mosquitoes. |
| first_indexed | 2024-03-09T11:03:46Z |
| format | Article |
| id | doaj.art-fea47e3920fa44fc9d50002fc2266ced |
| institution | Directory Open Access Journal |
| issn | 1999-4915 |
| language | English |
| last_indexed | 2024-03-09T11:03:46Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Viruses |
| spelling | doaj.art-fea47e3920fa44fc9d50002fc2266ced2023-12-01T01:06:05ZengMDPI AGViruses1999-49152022-12-011511110.3390/v15010011Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared SpectroscopyGabriela A. Garcia0Anton R. Lord1Lilha M. B. Santos2Tharanga N. Kariyawasam3Mariana R. David4Dinair Couto-Lima5Aline Tátila-Ferreira6Márcio G. Pavan7Maggy T. Sikulu-Lord8Rafael Maciel-de-Freitas9Laboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilSchool of Biological Sciences, University of Queensland, Brisbane, QLD 4072, AustraliaLaboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilSchool of Biological Sciences, University of Queensland, Brisbane, QLD 4072, AustraliaLaboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilLaboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilLaboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilLaboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilSchool of Biological Sciences, University of Queensland, Brisbane, QLD 4072, AustraliaLaboratório de Mosquitos Transmissores de Hematozoários, Oswaldo Cruz Institute, Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Rio de Janeiro, BrazilThe transmission of dengue (DENV) and Zika (ZIKV) has been continuously increasing worldwide. An efficient arbovirus surveillance system is critical to designing early-warning systems to increase preparedness of future outbreaks in endemic countries. The Near Infrared Spectroscopy (NIRS) is a promising high throughput technique to detect arbovirus infection in <i>Ae. aegypti</i> with remarkable advantages such as cost and time effectiveness, reagent-free, and non-invasive nature over existing molecular tools for similar purposes, enabling timely decision making through rapid detection of potential disease. Our aim was to determine whether NIRS can differentiate <i>Ae. aegypti</i> females infected with either ZIKV or DENV single infection, and those coinfected with ZIKV/DENV from uninfected ones. Using 200 <i>Ae. aegypti</i> females reared and infected in laboratory conditions, the training model differentiated mosquitoes into the four treatments with 100% accuracy. DENV-, ZIKV-, and ZIKV/DENV-coinfected mosquitoes that were used to validate the model could be correctly classified into their actual infection group with a predictive accuracy of 100%, 84%, and 80%, respectively. When compared with mosquitoes from the uninfected group, the three infected groups were predicted as belonging to the infected group with 100%, 97%, and 100% accuracy for DENV-infected, ZIKV-infected, and the co-infected group, respectively. Preliminary lab-based results are encouraging and indicate that NIRS should be tested in field settings to evaluate its potential role to monitor natural infection in field-caught mosquitoes.https://www.mdpi.com/1999-4915/15/1/11<i>Aedes aegypti</i>Near Infrared Spectroscopy (NIRS)dengueZikachikungunyaearly-warning system |
| spellingShingle | Gabriela A. Garcia Anton R. Lord Lilha M. B. Santos Tharanga N. Kariyawasam Mariana R. David Dinair Couto-Lima Aline Tátila-Ferreira Márcio G. Pavan Maggy T. Sikulu-Lord Rafael Maciel-de-Freitas Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy Viruses <i>Aedes aegypti</i> Near Infrared Spectroscopy (NIRS) dengue Zika chikungunya early-warning system |
| title | Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy |
| title_full | Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy |
| title_fullStr | Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy |
| title_full_unstemmed | Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy |
| title_short | Rapid and Non-Invasive Detection of <i>Aedes aegypti</i> Co-Infected with Zika and Dengue Viruses Using Near Infrared Spectroscopy |
| title_sort | rapid and non invasive detection of i aedes aegypti i co infected with zika and dengue viruses using near infrared spectroscopy |
| topic | <i>Aedes aegypti</i> Near Infrared Spectroscopy (NIRS) dengue Zika chikungunya early-warning system |
| url | https://www.mdpi.com/1999-4915/15/1/11 |
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