| Literature DB >> 34663348 |
Aristide S Hien1, Dieudonné D Soma1, Samina Maiga1, Dramane Coulibaly1, Abdoulaye Diabaté1, Allison Belemvire2, Mame B Diouf3, Djenam Jacob4, Adama Koné5, Ellen Dotson6, Taiwo S Awolola6,7, Richard M Oxborough4, Roch K Dabiré8.
Abstract
BACKGROUND: Pyrethroid resistance poses a major threat to the efficacy of insecticide-treated nets (ITNs) in Burkina Faso and throughout sub-Saharan Africa, particularly where resistance is present at high intensity. For such areas, there are alternative ITNs available, including the synergist piperonyl butoxide (PBO)-based ITNs and dual active ingredient ITNs such as Interceptor G2 (treated with chlorfenapyr and alpha-cypermethrin). Before deploying alternative ITNs on a large scale it is crucial to characterize the resistance profiles of primary malaria vector species for evidence-based decision making.Entities:
Keywords: Anopheles gambiae; Burkina Faso; Chlorfenapyr; Insecticide resistance; Insecticide-treated net; Malaria; Piperonyl butoxide; Pyrethroid
Mesh:
Substances:
Year: 2021 PMID: 34663348 PMCID: PMC8524873 DOI: 10.1186/s12936-021-03936-3
Source DB: PubMed Journal: Malar J ISSN: 1475-2875 Impact factor: 2.979
Fig. 1Location of 15 NMCP selected insecticide resistance monitoring sites where testing was conducted in 2019 (including 3 sites where IRS was conducted and 3 neighbouring unsprayed site)
Fig. 2Members of the Anopheles gambiae s.l. present at each study sites (n≈50 females mosquitoes analysed per site)
Fig. 3Percentage mortality (24 h) of Anopheles gambiae s.l. in WHO tube tests at 1, 5, and 10 times the diagnostic concentration of A deltamethrin (0.05%, 0.25%, 0.50%), B alpha-cypermethrin (0.05, 0.25, 0.50%) and C permethrin (0.75, 3.75, 7.50%) (n≈100 female mosquitoes per dose/insecticide)
Fig. 4Percentage mortality (24 h) of Anopheles gambiae s.l. in WHO tube tests with A deltamethrin (0.05%) with/without PBO (4%) and B permethrin (0.75%) with/without PBO (4%) C alpha-cypermethrin (0.05%) with/without PBO (4%)
Time to knockdown (in minutes) for 50% and 95% (KDT50 and KDT95) of Anopheles gambiae s.l. from the Sudanian area following exposure to pyrethroids only and PBO plus pyrethroid
| Climatical area | Insecticides | KDT50 (min) | [95% IC] KDT50 | KDT95 (min) | [95% IC] KDT95 |
|---|---|---|---|---|---|
| Sudan | Deltamethrin | 48.61 | [45.43–52.59] | 146.48 | [123.23–182.75] |
| Sudan | PBO + deltamethrin | 22.97 | [22.06–23.89] | 48.46 | [45.31–52.41] |
| Sudan | Permethrin | 154.21 | [111.65–262.32] | 1051.22 | [520.39–3427.81] |
| Sudan | PBO + permethrin | 78.29 | [66.69–97.07] | 530.84 | [348.65–955.87] |
Fig. 5Percentage mortality (24 and 72 h) of Anopheles gambiae s.l. in susceptibility tests with chlorfenapyr in bottle bioassays at a dose of 100 µg AI/bottle
Allele frequency of the Vgsc-L1014F and -L1014S mutations in Anopheles gambiae s.l. populations in 2019
| Species | Sites | N | L1014L | L1014F | L1014S | L1014F | L1014L | L1014L | Allele frequency | |
|---|---|---|---|---|---|---|---|---|---|---|
| L1014L | L1014F | L1014S | L1014S | L1014F | L1014S | L1014F | L1014S | |||
| Kampti | 13 | 0 | 11 | 2 | 0 | 0 | 0 | 0.85 | 0.15 | |
| Gaoua | 27 | 0 | 21 | 3 | 1 | 1 | 1 | 0.81 | 0.15 | |
| Solenzo | 9 | 1 | 5 | 2 | 0 | 1 | 0 | 0.61 | 0.22 | |
| Nouna | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0.50 | 0.50 | |
| Kongoussi | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0.25 | 0.50 | |
| Seguenega | 46 | 2 | 9 | 3 | 11 | 14 | 7 | 0.34 | 0.14 | |
| Orodara | 44 | 2 | 38 | 0 | 0 | 4 | 0 | 0.91 | 0 | |
| Soumousso | 42 | 1 | 41 | 0 | 0 | 0 | 0 | 0.98 | 0 | |
| Ouagadougou | 40 | 1 | 37 | 0 | 0 | 0 | 2 | 0.93 | 0.03 | |
| Boromo | 34 | 7 | 14 | 1 | 3 | 5 | 4 | 0.53 | 0.13 | |
| Mangodara | 43 | 7 | 27 | 3 | 0 | 6 | 0 | 0.70 | 0.07 | |
| Kaya | 8 | 2 | 0 | 0 | 1 | 4 | 1 | 0.25 | 0.06 | |
| Total | 310 | 23 | 204 | 15 | 17 | 35 | 16 | 0.71 | 0.13 | |
| Kampti | 9 | 1 | 2 | 0 | 1 | 4 | 1 | 0.50 | 0.11 | |
| Gaoua | 3 | 0 | 2 | 0 | 0 | 1 | 0.67 | 0.17 | ||
| Solenzo | 26 | 3 | 10 | 1 | 7 | 4 | 1 | 0.60 | 0.19 | |
| Nouna | 43 | 7 | 16 | 6 | 4 | 7 | 3 | 0.50 | 0.22 | |
| Kongoussi | 47 | 2 | 16 | 2 | 8 | 19 | 0 | 0.63 | 0.13 | |
| Seguenega | 10 | 0 | 4 | 0 | 2 | 3 | 1 | 0.65 | 0.15 | |
| Orodara | 2 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 1.00 | |
| Soumousso | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1.00 | 0 | |
| Ouagadougou | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | NA | |
| Boromo | 10 | 1 | 3 | 0 | 0 | 3 | 3 | 0.45 | 0.15 | |
| Mangodara | 7 | 0 | 2 | 5 | 0 | 0 | 0 | 0.29 | 0.71 | |
| Kaya | 42 | 10 | 8 | 3 | 1 | 16 | 5 | 0.39 | 0.14 | |
| Total | 200 | 24 | 64 | 19 | 23 | 56 | 15 | 0.52 | 0.19 | |
| Kampti | 28 | 0 | 11 | 0 | 11 | 1 | 5 | 0.60 | 0.29 | |
| Gaoua | 19 | 0 | 9 | 1 | 5 | 1 | 3 | 0.63 | 0.26 | |
| Solenzo | 9 | 6 | 2 | 0 | 1 | 0 | 0 | 0.28 | 0.06 | |
| Nouna | 5 | 2 | 0 | 0 | 0 | 2 | 1 | 0.20 | 0.10 | |
| Kongoussi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | NA | |
| Seguenega | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | NA | |
| Orodara | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 1.00 | 0 | |
| Soumousso | 6 | 4 | 0 | 2 | 0 | 0 | 0 | 0 | 0.33 | |
| Ouagadougou | 10 | 0 | 10 | 0 | 0 | 0 | 0 | 1.00 | 0 | |
| Boromo | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 1.00 | 0 | |
| Mangodara | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | NA | |
| Kaya | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NA | NA | |
| Total | 84 | 12 | 39 | 3 | 17 | 4 | 9 | 0.59 | 0.19 | |