Journal article
Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy
- Abstract:
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Background
Large-scale surveillance of mosquito populations is crucial to assess the intensity of vector-borne disease transmission and the impact of control interventions. However, there is a lack of accurate, cost-effective and high-throughput tools for mass-screening of vectors.
Methods
A total of 750 Anopheles gambiae (Keele strain) mosquitoes were fed Plasmodium falciparum NF54 gametocytes through standard membrane feeding assay (SMFA) and afterwards maintained in insectary conditions to allow for oocyst (8 days) and sporozoite development (14 days). Thereupon, each mosquito was scanned using near infra-red spectroscopy (NIRS) and processed by quantitative polymerase chain reaction (qPCR) to determine the presence of infection and infection load. The spectra collected were randomly assigned to either a training dataset, used to develop calibrations for predicting oocyst- or sporozoite-infection through partial least square regressions (PLS); or to a test dataset, used for validating the calibration’s prediction accuracy.
Results
NIRS detected oocyst- and sporozoite-stage P. falciparum infections with 88% and 95% accuracy, respectively. This study demonstrates proof-of-concept that NIRS is capable of rapidly identifying laboratory strains of human malaria infection in African mosquito vectors.
Conclusions
Accurate, low-cost, reagent-free screening of mosquito populations enabled by NIRS could revolutionize surveillance and elimination strategies for the most important human malaria parasite in its primary African vector species. Further research is needed to evaluate how the method performs in the field following adjustments in the training datasets to include data from wild-caught infected and uninfected mosquitoes.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Version of record, pdf, 2.2MB, Terms of use)
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- Publisher copy:
- 10.1186/s12936-019-2719-9
Authors
- Funding agency for:
- Maia, MF
- Grant:
- AXA RF fellowship: 14-AXA-PDOC-130
- Publisher:
- BioMed Central
- Journal:
- Malaria Journal More from this journal
- Volume:
- 18
- Issue:
- 85
- Pages:
- 1-11
- Publication date:
- 2019-03-19
- Acceptance date:
- 2019-03-11
- DOI:
- EISSN:
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1475-2875
- Pmid:
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30890179
- Language:
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English
- Keywords:
- Pubs id:
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pubs:986778
- UUID:
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uuid:9aad28a1-4342-4e9f-b758-4dc37ce572d4
- Local pid:
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pubs:986778
- Source identifiers:
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986778
- Deposit date:
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2019-04-30
- ARK identifier:
Terms of use
- Copyright holder:
- Maia et al
- Copyright date:
- 2019
- Notes:
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© The Author(s) 2019, corrected publication 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
Note: an erratum exists for this article, originally published and available at: https://doi.org/10.1186/s12936-019-2776-0
- Licence:
- CC Attribution (CC BY)
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