Rebound of multiple infections and prevalence of anti-malarial resistance associated markers following malaria upsurges in Dielmo village, Senegal, West Africa
© 2023. BioMed Central Ltd., part of Springer Nature..
BACKGROUND: Thanks to the scale up of malaria control interventions, the malaria burden in Senegal has decreased substantially to the point that the National Malaria Control Programme plans to achieve malaria elimination by 2030. To guide such efforts, measuring and monitoring parasite population evolution and anti-malarial drugs resistance is extremely important. Information on the prevalence of parasite mutations related to drug resistance can provide a first signal of emergence, introduction and selection that can help with refining drug interventions. The aim of this study was to analyse the prevalence of anti-malarial drug resistance-associated markers before and after the implementation of artemisinin-based combination therapy (ACT) from 2005 to 2014 in Dielmo, a model site for malaria intervention studies in Senegal.
METHODS: Samples from both malaria patients and Plasmodium falciparum asymptomatic carriers were analysed with high resolution melting (HRM) technique to genotype P. falciparum chloroquine resistance transporter (Pfcrt) gene haplotypes and multidrug-resistant protein 1 (Pfmdr1) gene at codons N86 and Y184.
RESULTS: Among the 539 samples analysed, 474, 486, and 511 were successfully genotyped for Pfmdr1 N86, Y184, and Pfcrt, respectively. The prevalence of drug resistance markers was high, particularly during the malaria upsurges. Following the scale-up in bed net distribution, only the mutant (86F-like) variant of Pfmdr1 86 was present while during the malaria upsurges the predominance of two types 86Y-86N (43%) and 86F-like (56%) were observed. Most infections (87%) carried the wild type Y-allele at Pfmdr1 184 during the period of nets scale-up while during the malaria upsurges only 16% of infections had wild type and 79% of infections had mixed (mutant/wild) type. The frequency of the mixed genotypes SVMNT-like_CVMNK and SVMNT-like_CVIET within Pfcrt gene was particularly low during bednet scale up. Their frequency increased significantly (P < 0.001) during the malaria upsurges.
CONCLUSION: This data demonstrated the effect of multiple interventions on the dynamics of drug resistance-associated mutations in the main malaria parasite P. falciparum in an endemic village in Senegal. Monitoring drug resistance markers should be conducted periodically to detect threats of emergence or resurgence that could compromise the efficacy of anti-malarial drugs.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:22 |
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| Enthalten in: |
Malaria journal - 22(2023), 1 vom: 05. Sept., Seite 257 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Wotodjo, Amélé Nyedzie [VerfasserIn] |
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| Links: |
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| Themen: |
886U3H6UFF |
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| Anmerkungen: |
Date Completed 07.09.2023 Date Revised 18.11.2023 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1186/s12936-023-04694-0 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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NLM361680201 |
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| 245 | 1 | 0 | |a Rebound of multiple infections and prevalence of anti-malarial resistance associated markers following malaria upsurges in Dielmo village, Senegal, West Africa |
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| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. BioMed Central Ltd., part of Springer Nature. | ||
| 520 | |a BACKGROUND: Thanks to the scale up of malaria control interventions, the malaria burden in Senegal has decreased substantially to the point that the National Malaria Control Programme plans to achieve malaria elimination by 2030. To guide such efforts, measuring and monitoring parasite population evolution and anti-malarial drugs resistance is extremely important. Information on the prevalence of parasite mutations related to drug resistance can provide a first signal of emergence, introduction and selection that can help with refining drug interventions. The aim of this study was to analyse the prevalence of anti-malarial drug resistance-associated markers before and after the implementation of artemisinin-based combination therapy (ACT) from 2005 to 2014 in Dielmo, a model site for malaria intervention studies in Senegal | ||
| 520 | |a METHODS: Samples from both malaria patients and Plasmodium falciparum asymptomatic carriers were analysed with high resolution melting (HRM) technique to genotype P. falciparum chloroquine resistance transporter (Pfcrt) gene haplotypes and multidrug-resistant protein 1 (Pfmdr1) gene at codons N86 and Y184 | ||
| 520 | |a RESULTS: Among the 539 samples analysed, 474, 486, and 511 were successfully genotyped for Pfmdr1 N86, Y184, and Pfcrt, respectively. The prevalence of drug resistance markers was high, particularly during the malaria upsurges. Following the scale-up in bed net distribution, only the mutant (86F-like) variant of Pfmdr1 86 was present while during the malaria upsurges the predominance of two types 86Y-86N (43%) and 86F-like (56%) were observed. Most infections (87%) carried the wild type Y-allele at Pfmdr1 184 during the period of nets scale-up while during the malaria upsurges only 16% of infections had wild type and 79% of infections had mixed (mutant/wild) type. The frequency of the mixed genotypes SVMNT-like_CVMNK and SVMNT-like_CVIET within Pfcrt gene was particularly low during bednet scale up. Their frequency increased significantly (P < 0.001) during the malaria upsurges | ||
| 520 | |a CONCLUSION: This data demonstrated the effect of multiple interventions on the dynamics of drug resistance-associated mutations in the main malaria parasite P. falciparum in an endemic village in Senegal. Monitoring drug resistance markers should be conducted periodically to detect threats of emergence or resurgence that could compromise the efficacy of anti-malarial drugs | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Anti-malarial drugs | |
| 650 | 4 | |a Dielmo | |
| 650 | 4 | |a Malaria upsurges | |
| 650 | 4 | |a Pfcrt | |
| 650 | 4 | |a Pfmdr1 184 | |
| 650 | 4 | |a Pfmdr1 86 | |
| 650 | 4 | |a Resistance | |
| 650 | 4 | |a Senegal | |
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| 650 | 7 | |a Membrane Transport Proteins |2 NLM | |
| 700 | 1 | |a Oboh, Mary Aigbiremo |e verfasserin |4 aut | |
| 700 | 1 | |a Doucoure, Souleymane |e verfasserin |4 aut | |
| 700 | 1 | |a Diagne, Nafissatou |e verfasserin |4 aut | |
| 700 | 1 | |a Diène-Sarr, Fatoumata |e verfasserin |4 aut | |
| 700 | 1 | |a Niang, Makhtar |e verfasserin |4 aut | |
| 700 | 1 | |a Trape, Jean-François |e verfasserin |4 aut | |
| 700 | 1 | |a Sokhna, Cheikh |e verfasserin |4 aut | |
| 700 | 1 | |a Amambua-Ngwa, Alfred |e verfasserin |4 aut | |
| 700 | 1 | |a D'Alessandro, Umberto |e verfasserin |4 aut | |
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