Evidence map›Paper›PMID 27531125›Full record

ArticleParasites & vectors2016

Multiple insecticide resistance in an infected population of the malaria vector Anopheles funestus in Benin.

Rousseau Djouaka, Jacob M Riveron, Akadiri Yessoufou, Genevieve Tchigossou, Romaric Akoton, Helen Irving, Innocent Djegbe, Kabirou Moutairou, Razack Adeoti, Manuele Tamò and 2 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed, 110 citations in OpenAlex.

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  19. Evolution of thePathogens (Basel, Switzerland) · 2022
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 3 countries.

Rousseau DjouakaInternational Institute of Tropical Agriculture, Cotonou, 08 BP 0932, Benin. R.Djouaka@cgiar.org.
Jacob M RiveronLiverpool School of Tropical Medicine, Pembroke Place, L3 5QA, Liverpool, UK.
Akadiri YessoufouUniversity of Abomey, Calavi BP 526, Cotonou, Benin.
Genevieve TchigossouInternational Institute of Tropical Agriculture, Cotonou, 08 BP 0932, Benin.
Romaric AkotonInternational Institute of Tropical Agriculture, Cotonou, 08 BP 0932, Benin.
Helen IrvingLiverpool School of Tropical Medicine, Pembroke Place, L3 5QA, Liverpool, UK.
Innocent DjegbeUniversity of Sciences, Arts and Techniques of Natitingou, Ecole Normale Supérieure de Natitingou, Natitingou, BP 123, Benin.
Kabirou MoutairouUniversity of Abomey, Calavi BP 526, Cotonou, Benin.
Razack AdeotiInternational Institute of Tropical Agriculture, Cotonou, 08 BP 0932, Benin.
Manuele TamòInternational Institute of Tropical Agriculture, Cotonou, 08 BP 0932, Benin.
Victor ManyongInternational Institute of Tropical Agriculture, Dar Es Salaam, Tanzania.
Charles S WondjiLiverpool School of Tropical Medicine, Pembroke Place, L3 5QA, Liverpool, UK.
International Institute of Tropical Agriculture · BJLiverpool School of Tropical Medicine · GBUniversité d'Abomey-Calavi · BJInternational Institute of Tropical Agriculture · TZ

Funding

Wellcome Trust 099864/Z/12/Z
6 · The paper itself

Abstract

backgroundKnowledge on the spread and distribution of insecticide resistance in major malaria vectors such as Anopheles funestus is key to implement successful resistance management strategies across Africa. Here, by assessing the susceptibility status of an inland population of An. funestus Giles (Kpome) and investigating molecular basis of resistance, we show that multiple resistance and consistent plasmodium infection rate are present in Anopheles funestus populations from Kpome.

methodsThe insecticide susceptibility level of collected Anopheles funestus was assessed. Synergist (PBO) was used to screen resistance mechanisms. The TaqMan technique was used for genotyping of insecticide resistant alleles and detecting plasmodium infection levels. The nested PCR was used to further assess the plasmodium infection rate.

resultsThe TaqMan analysis of plasmodial infections revealed an infection rate (18.2 %) of An. funestus in this locality. The WHO bioassays revealed a multiple phenotypic resistance profile for An. funestus in Kpome. This population is highly resistant to pyrethroids (permethrin and deltamethrin), organochlorines (DDT), and carbamates (bendiocarb). A reduced susceptibility was observed with dieldrin. Mortalities did not vary after pre-exposure to PBO for DDT indicating that cytochrome P450s play little role in DDT resistance in Kpome. In contrast, we noticed, a significant increase in mortalities when PBO was combined to permethrin suggesting the direct involvement of P450s in pyrethroid resistance. A high frequency of the L119F-GSTe2 DDT resistance marker was observed in the wild DDT resistant population (9 %RS and 91 %RR) whereas the A296S mutation was detected at a low frequency (1 %RS and 99 %SS).

conclusionThe presence of multiple resistance in An. funestus populations in the inland locality of Kpome is established in this study as recently documented in the costal locality of Pahou. Data from both localities suggest that resistance could be widespread in Benin and this highlights the need for further studies to assess the geographical distribution of insecticide resistance across Benin and neighboring countries as well as a more comprehensive analysis of the resistance mechanisms involved.

Indexed as

AnimalsAnophelesBeninHost-Parasite InteractionsInsecticide ResistanceInsecticidesInsect VectorsMalariaPlasmodiumSpecies SpecificityInsecticidesAnopheles funestusBeninInsecticide resistanceMalariaMalaria vector controlResistance mechanisms

Identifiers

PMID27531125
PMCPMC4987972
OpenAlexW2513710989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.