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Current status of insecticide resistance among malaria vectors in Kenya

BACKGROUND: Insecticide resistance has emerged as one of the major challenges facing National Malaria Control Programmes in Africa. A well-coordinated national database on insecticide resistance (IRBase) can facilitate the development of effective strategies for managing insecticide resistance and s...

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Autores principales: Ondeto, Benyl M., Nyundo, Christopher, Kamau, Luna, Muriu, Simon M., Mwangangi, Joseph M., Njagi, Kiambo, Mathenge, Evan M., Ochanda, Horace, Mbogo, Charles M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606043/
https://www.ncbi.nlm.nih.gov/pubmed/28927428
http://dx.doi.org/10.1186/s13071-017-2361-8
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author Ondeto, Benyl M.
Nyundo, Christopher
Kamau, Luna
Muriu, Simon M.
Mwangangi, Joseph M.
Njagi, Kiambo
Mathenge, Evan M.
Ochanda, Horace
Mbogo, Charles M.
author_facet Ondeto, Benyl M.
Nyundo, Christopher
Kamau, Luna
Muriu, Simon M.
Mwangangi, Joseph M.
Njagi, Kiambo
Mathenge, Evan M.
Ochanda, Horace
Mbogo, Charles M.
author_sort Ondeto, Benyl M.
collection PubMed
description BACKGROUND: Insecticide resistance has emerged as one of the major challenges facing National Malaria Control Programmes in Africa. A well-coordinated national database on insecticide resistance (IRBase) can facilitate the development of effective strategies for managing insecticide resistance and sustaining the effectiveness of chemical-based vector control measures. The aim of this study was to assemble a database on the current status of insecticide resistance among malaria vectors in Kenya. METHODS: Data was obtained from published literature through PubMed, HINARI and Google Scholar searches and unpublished literature from government reports, research institutions reports and malaria control programme reports. Each data source was assigned a unique identification code and entered into Microsoft Excel 2010 datasheets. Base maps on the distribution of insecticide resistance and resistance mechanisms among malaria vectors in Kenya were generated using ArcGIS Desktop 10.1 (ESRI, Redlands, CA, USA). RESULTS: Insecticide resistance status among the major malaria vectors in Kenya was reported in all the four classes of insecticides including pyrethroids, carbamates, organochlorines and organophosphates. Resistance to pyrethroids has been detected in Anopheles gambiae (s.s.), An. arabiensis and An. funestus (s.s.) while resistance to carbamates was limited to An. gambiae (s.s.) and An. arabiensis. Resistance to the organochlorine was reported in An. gambiae (s.s.) and An. funestus (s.s.) while resistance to organophosphates was reported in An. gambiae (s.l.) only. The mechanisms of insecticide resistance among malaria vectors reported include the kdr mutations (L 1014S and L 1014F) and elevated activity in carboxylesterase, glutathione S-transferases (GST) and monooxygenases. The kdr mutations L 1014S and L 1014F were detected in An. gambiae (s.s.) and An. arabiensis populations. Elevated activity of monooxygenases has been detected in both An. arabiensis and An. gambiae (s.s.) populations while the elevated activity of carboxylesterase and GST has been detected only in An. arabiensis populations. CONCLUSIONS: The geographical maps show the distribution of insecticide resistance and resistance mechanisms among malaria vectors in Kenya. The database generated will provide a guide to intervention policies and programmes in the fight against malaria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-017-2361-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-56060432017-09-20 Current status of insecticide resistance among malaria vectors in Kenya Ondeto, Benyl M. Nyundo, Christopher Kamau, Luna Muriu, Simon M. Mwangangi, Joseph M. Njagi, Kiambo Mathenge, Evan M. Ochanda, Horace Mbogo, Charles M. Parasit Vectors Research BACKGROUND: Insecticide resistance has emerged as one of the major challenges facing National Malaria Control Programmes in Africa. A well-coordinated national database on insecticide resistance (IRBase) can facilitate the development of effective strategies for managing insecticide resistance and sustaining the effectiveness of chemical-based vector control measures. The aim of this study was to assemble a database on the current status of insecticide resistance among malaria vectors in Kenya. METHODS: Data was obtained from published literature through PubMed, HINARI and Google Scholar searches and unpublished literature from government reports, research institutions reports and malaria control programme reports. Each data source was assigned a unique identification code and entered into Microsoft Excel 2010 datasheets. Base maps on the distribution of insecticide resistance and resistance mechanisms among malaria vectors in Kenya were generated using ArcGIS Desktop 10.1 (ESRI, Redlands, CA, USA). RESULTS: Insecticide resistance status among the major malaria vectors in Kenya was reported in all the four classes of insecticides including pyrethroids, carbamates, organochlorines and organophosphates. Resistance to pyrethroids has been detected in Anopheles gambiae (s.s.), An. arabiensis and An. funestus (s.s.) while resistance to carbamates was limited to An. gambiae (s.s.) and An. arabiensis. Resistance to the organochlorine was reported in An. gambiae (s.s.) and An. funestus (s.s.) while resistance to organophosphates was reported in An. gambiae (s.l.) only. The mechanisms of insecticide resistance among malaria vectors reported include the kdr mutations (L 1014S and L 1014F) and elevated activity in carboxylesterase, glutathione S-transferases (GST) and monooxygenases. The kdr mutations L 1014S and L 1014F were detected in An. gambiae (s.s.) and An. arabiensis populations. Elevated activity of monooxygenases has been detected in both An. arabiensis and An. gambiae (s.s.) populations while the elevated activity of carboxylesterase and GST has been detected only in An. arabiensis populations. CONCLUSIONS: The geographical maps show the distribution of insecticide resistance and resistance mechanisms among malaria vectors in Kenya. The database generated will provide a guide to intervention policies and programmes in the fight against malaria. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-017-2361-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-09-19 /pmc/articles/PMC5606043/ /pubmed/28927428 http://dx.doi.org/10.1186/s13071-017-2361-8 Text en © The Author(s). 2017 Open AccessThis 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.
spellingShingle Research
Ondeto, Benyl M.
Nyundo, Christopher
Kamau, Luna
Muriu, Simon M.
Mwangangi, Joseph M.
Njagi, Kiambo
Mathenge, Evan M.
Ochanda, Horace
Mbogo, Charles M.
Current status of insecticide resistance among malaria vectors in Kenya
title Current status of insecticide resistance among malaria vectors in Kenya
title_full Current status of insecticide resistance among malaria vectors in Kenya
title_fullStr Current status of insecticide resistance among malaria vectors in Kenya
title_full_unstemmed Current status of insecticide resistance among malaria vectors in Kenya
title_short Current status of insecticide resistance among malaria vectors in Kenya
title_sort current status of insecticide resistance among malaria vectors in kenya
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5606043/
https://www.ncbi.nlm.nih.gov/pubmed/28927428
http://dx.doi.org/10.1186/s13071-017-2361-8
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