Rapid, noninvasive detection of Zika virus in
            <i>Aedes aegypti</i>
            mosquitoes by near-infrared spectroscopy

Fernandes, Jill N.; Santos, Lilha Maria Barbosa dos; Chouin-Carneiro, Thaís; Pavan, Márcio G.; Garcia, Gabriela A.; David, Mariana Rocha; Beier, John C.; Dowell, Floyd E.; Maciel-de-Freitas, Rafael; Sikulu-Lord, Maggy T.

doi:10.1126/sciadv.aat0496

Cited by 79 publications

(97 citation statements)

References 40 publications

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“…The far-(30-400 cm -1 ), mid-(400-4,000 cm -1 ), and nearinfrared (4,000-10,000) regions of the mosquito spectra were compared ( Supplementary Figure 4). The far-and nearinfrared regions were essentially featureless in dried mosquitoes, unlike the spectra observed in the literature 37,39,40,50,51 that show the intense signals of liquid water as they were measured in undried mosquitoes (Supplementary Figure 5). However, the mid-infrared region showed a large number of well-defined intense peaks, which are easily identifiable as coming from the chemical components of the cuticle (Supplementary Table 1).…”

Section: Resultsmentioning

confidence: 54%

“…Indeed, microorganism infections alter mosquito physiology and could directly or indirectly modify its cuticular composition. For example, in the dengue and Zika vector Ae-des aegypti mosquitoes, infrared spectroscopy has recently been developed to detect Zika virus, 39 and the bacterial endosymbiont Wolbachia. 43,50 The accuracy and generalisability of the MIRS approach presented here to determine key mosquito traits shows that this tool can be used to assist the evaluation of vector control intervention in large mosquito populations.…”

Section: Discussionmentioning

confidence: 99%

“…arabiensis, 38 or to detect whether Aedes aegypti mosquitoes carry the Zika virus. 39 The appeal of this approach is that it does not require reagents, and holds promise as a fast, practical and cost-effective method for entomological surveillance. Nevertheless, recent results have raised concerns that it may lack discriminatory power when the mosquitoes analysed have not been fed and reared homogeneously.…”

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confidence: 99%

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Prediction of malaria mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

González‐Jiménez

Babayan

Khazaeli

et al. 2018

Preprint

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These authors contributed equally to this work.Despite the global efforts made in the fight against malaria, the disease is resurging. One of the main causes is the resistance that Anopheles mosquitoes, vectors of the disease, have developed to insecticides. Anopheles must survive for at least 12 days to possibly transmit malaria. Therefore, to evaluate and improve malaria vector control interventions, it is imperative to monitor and accurately estimate the age distribution of mosquito populations as well as total population sizes. However, estimating mosquito age is currently a slow, imprecise, and labour-intensive process that can only distinguish under-from over-fourday-old female mosquitoes. Here, we demonstrate a machine-learning based approach that utilizes midinfrared spectra of mosquitoes to characterize simultaneously, and with unprecedented accuracy, both age and species identity of females of the malaria vectors Anopheles gambiae and An. arabiensis mosquitoes within their respective populations. The prediction of the age structures was statistically indistinguishable from true modelled distributions. The method has a negligible cost per mosquito, does not require highly trained personnel, is substantially faster than current techniques, and so can be easily applied in both laboratory and field settings. Our results show that, with larger mid-infrared spectroscopy data sets, this technique can be further improved and expanded to vectors of other diseases such as Zika and Dengue.

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Section: Resultsmentioning

confidence: 54%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Prediction of malaria mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

González‐Jiménez

Babayan

Khazaeli

et al. 2018

Preprint

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“…Yet another study reported that near-infrared spectroscopy (NIRS) is a rapid, reagent-free, and cost-effective tool used to detect ZIKV noninvasively in heads and thoraces of intact Aedes aegypti mosquitoes with high prediction accuracies relative to quantitative RT-qPCR reaction. Perhaps this technique could be extended upon for identifying probable arbovirus hotspots to guide spatial prioritization of vector control (Fernandes et al 2018). Recently developed surface plasma resonance (SPR) spectroscopy was developed to be a valuable optical biosensor and potential method for diagnosis of dengue virus E-protein and also for identification of antibodies to DENV antigen.…”

Section: Spectroscopy-based Immunodetectionmentioning

confidence: 99%

Advanced Immunotechnological Methods for Detection and Diagnosis of Viral Infections: Current Applications and Future Challenges

Bramhachari

Sheela

Prathyusha

et al. 2020

Dynamics of Immune Activation in Viral Diseases

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Diagnosis and identification of viruses is an important component of diagnostic virology laboratory. Although various modes of diagnostic methods are now available at disposal, a vast majority of the diseases across the globe remain undiagnosed. This is largely due to the overlapping undifferentiated set of symptoms across myriad set of RNA and DNA viral diseases. As such, it becomes critical to take into consideration several factors for viral diagnosis ranging from the type and quality of specimen collected, time of specimen collection, mode of transport, accuracy, specificity, sensitivity, and the type of diagnostic method used. This chapter broadly emphasizes various methods on diagnostic virology ranging from the classical methods of diagnosis to the most recently developed molecular methods of detection of virus.

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“…Many of these assays are laborious and laboratory-based and require expensive and bulky instruments, making them incompatible with low-resource regions (24). Recently, several novel, advanced point-of-care (POC) diagnostic measures have been developed for detecting mosquito-borne viruses in the field, including honey-baited nucleic acid preservation cards (25, 26), loop-mediated isothermal amplification (LAMP) (27), biosensors (28), and adaptations of near-infrared spectrometry techniques (29). However, these techniques have documented limitations, including cross-reactivity with other flaviviruses or requirements for training on specialized equipment, making the adoption of these new diagnostic tools difficult (30, 31).…”

Section: Introductionmentioning

confidence: 99%

Field-deployable molecular diagnostic platform for arbovirus andWolbachiadetection inAedes aegypti

Rutkowski

Dong

Dimopoulos

2020

Preprint

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26Background: Surveillance of mosquito infection status is critical for planning and deployment 27 of proper mosquito control initiatives. Concurrently, Wolbachia is being widely used as a control 28 method for arboviral transmission. Point-of-care (POC) detection assays are necessary for 29 monitoring the infection prevalence and geographic range of viruses as well as Wolbachia in 30 mosquito vector populations. We therefore assessed the novel qPCR bCUBE molecular 31 diagnostic system as a tool for virus and Wolbachia detection. 32 Results: We developed a reliable, specific, and sensitive diagnostic assay for detecting Zika 33 virus and dengue virus serotype 2 using the real-time qPCR platform bCUBE. With bCUBE-34 based qRT-PCR, both Wolbachia bacterium and virus RNA could be reliably detected in 35 individually infected Ae. aegypti mosquitoes and in pools of 5, 10, or 15 mosquitoes. 36 Conclusions: The portable qPCR bCUBE diagnostic platform is capable of detecting Zika and 37 dengue virus as well as Wolbachia in mosquitoes and therefore has potential as a practical field-38 deployable diagnostic test for vector-borne disease surveillance programs. 39 40 41 42 43 44 45 46 47

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Rapid, noninvasive detection of Zika virus in Aedes aegypti mosquitoes by near-infrared spectroscopy

Abstract: We report the first use of near-infrared spectroscopy for rapid, low-cost, noninvasive detection of Zika virus in Aedes aegypti.

Cited by 79 publications

References 40 publications

Prediction of malaria mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

Prediction of malaria mosquito species and population age structure using mid-infrared spectroscopy and supervised machine learning

Advanced Immunotechnological Methods for Detection and Diagnosis of Viral Infections: Current Applications and Future Challenges

Field-deployable molecular diagnostic platform for arbovirus andWolbachiadetection inAedes aegypti

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