Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy
Abstract 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...
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ftdoajarticles:oai:doaj.org/article:f5730f63d8494a91bea08bd92021a88b 2023-05-15T15:12:17+02:00 Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy Marta F. Maia Melissa Kapulu Michelle Muthui Martin G. Wagah Heather M. Ferguson Floyd E. Dowell Francesco Baldini Lisa Ranford-Cartwright 2019-03-01T00:00:00Z https://doi.org/10.1186/s12936-019-2719-9 https://doaj.org/article/f5730f63d8494a91bea08bd92021a88b EN eng BMC http://link.springer.com/article/10.1186/s12936-019-2719-9 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-019-2719-9 1475-2875 https://doaj.org/article/f5730f63d8494a91bea08bd92021a88b Malaria Journal, Vol 18, Iss 1, Pp 1-11 (2019) Near infrared spectroscopy Malaria Anopheles gambiae Plasmodium falciparum Sporozoite Oocyst Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2019 ftdoajarticles https://doi.org/10.1186/s12936-019-2719-9 2022-12-31T10:09:43Z Abstract 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. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 18 1 |
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Open Polar |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Near infrared spectroscopy Malaria Anopheles gambiae Plasmodium falciparum Sporozoite Oocyst Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Near infrared spectroscopy Malaria Anopheles gambiae Plasmodium falciparum Sporozoite Oocyst Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Marta F. Maia Melissa Kapulu Michelle Muthui Martin G. Wagah Heather M. Ferguson Floyd E. Dowell Francesco Baldini Lisa Ranford-Cartwright Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy |
topic_facet |
Near infrared spectroscopy Malaria Anopheles gambiae Plasmodium falciparum Sporozoite Oocyst Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
Abstract 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. |
format |
Article in Journal/Newspaper |
author |
Marta F. Maia Melissa Kapulu Michelle Muthui Martin G. Wagah Heather M. Ferguson Floyd E. Dowell Francesco Baldini Lisa Ranford-Cartwright |
author_facet |
Marta F. Maia Melissa Kapulu Michelle Muthui Martin G. Wagah Heather M. Ferguson Floyd E. Dowell Francesco Baldini Lisa Ranford-Cartwright |
author_sort |
Marta F. Maia |
title |
Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy |
title_short |
Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy |
title_full |
Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy |
title_fullStr |
Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy |
title_full_unstemmed |
Detection of Plasmodium falciparum infected Anopheles gambiae using near-infrared spectroscopy |
title_sort |
detection of plasmodium falciparum infected anopheles gambiae using near-infrared spectroscopy |
publisher |
BMC |
publishDate |
2019 |
url |
https://doi.org/10.1186/s12936-019-2719-9 https://doaj.org/article/f5730f63d8494a91bea08bd92021a88b |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 18, Iss 1, Pp 1-11 (2019) |
op_relation |
http://link.springer.com/article/10.1186/s12936-019-2719-9 https://doaj.org/toc/1475-2875 doi:10.1186/s12936-019-2719-9 1475-2875 https://doaj.org/article/f5730f63d8494a91bea08bd92021a88b |
op_doi |
https://doi.org/10.1186/s12936-019-2719-9 |
container_title |
Malaria Journal |
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18 |
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1 |
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1766342983864549376 |