Abstract
Introduction.
Malaria control is highly dependent on the effectiveness of artemisinin-based combination therapies (ACTs), the current frontline malaria curative treatments. Unfortunately, the emergence and spread of parasites resistant to artemisinin (ART) derivatives in Southeast Asia and South America, and more recently in Rwanda and Uganda (East Africa), compromise their long-term use in Sub-Saharan Africa where most malaria deaths occur.
Methods.
Here, we evaluated ex vivo susceptibility to dihydroartemisinin (DHA) from 38 P. falciparum isolates collected in 2017 in Thiès (Senegal) expressed with the Ring-stage Survival Assay (RSA). We explored major and minor variants in the full Pfkelch13 gene, the main determinant of ART resistance using a targeted-amplicon deep sequencing (TADS) approach.
Results.
All samples tested in the ex vivo RSA were found to be susceptible to DHA. Both non-synonymous mutations K189T and K248R were observed each in one isolate, as major (99%) or minor (5%) variants, respectively.
Conclusion.
Altogether, investigations combining ex vivo RSA and TADS are a useful approach for monitoring ART resistance in Africa.
Keywords: Malaria, Plasmodium falciparum, Artemisinin partial resistance, Ring-stage Survival Assay, Pfkelch13 genotype, targeted-amplicon deep sequencing, Senegal
Background
Prompt management of malaria cases remains a vital component of malaria control and elimination strategies [1]. Over the two last decades, artemisinin (ART)-based combination therapies (ACTs) have contributed significantly to the reduction of malaria-related morbidity and mortality in Sub-Saharan Africa[2]. Since 2006, the Senegalese National Malaria Control Program (NMCP) have recommended artemether–lumefantrine (AL) as the first-line treatment for uncomplicated malaria [3]. However, recent reports of the emergence and expansion of partial resistance to ART (ART-R) in the Greater Mekong Subregion have endangered the long-term efficacy of ACTs. Although ACTs remain clinically and parasitologically effective in most African malaria endemic countries [4], the local emergences of ART-R in Rwanda and in Uganda, respectively reported in 2020 and 2021, are warning signals in the loss of ART efficiency [5–8]. As ART-R could independently emerge in western Africa or spread from eastern African ATR-R hotspots, the monitoring of P. falciparum parasites susceptibility to ART-based on the current clinical and biological tools is of utmost importance and must be implemented [4]. Clinically, ART-R is defined as delayed parasite clearance or Day-3 positive parasitemia upon ART-based treatment [9]. Delayed clearance has been associated with decreased in vitro parasite susceptibility (survival rate ≥1%) expressed in the Ring-stage Survival Assay (RSA0–3h) [10]. These clinical and biological phenotypes were later associated with non-synonymous mutations in the P. falciparum kelch13 gene (Pfkelch13) [11]. Pfkelch13 encodes a 726-amino acid protein containing three structurally conserved domains: a coiled-coil-like (CCC) domain, a Broad-Complex, Tramtrack and Bric a brac (BTB) domain, and a C-terminal kelch-repeat propeller domain where most of non-synonymous mutations associated with ART-R have been described [12]. Since then, the surveillance based on the detection of Pfkelch13 single-nucleotide polymorphisms (SNPs) have been conducted in many countries. In the Greater Mekong Subregion, multiple ART-R Pfkelch13 mutant parasites evolved concomitantly until a multidrug-resistant Pfkelch13 C580Y lineage (named KEL1/PLA1) outcompeted the others and spread across Southeast Asia [13]. In Africa, this variant has been sporadically reported [14–16]. Rather, the Pfkelch13 R561H mutant rapidly increased in frequency in Rwanda between 2014–2016 and 2018–2019 (from 8–22%, respectively) [17–19] and was associated with in vivo and in vitro ART-R [19]. Similarly, in Uganda, two Pfkelch13 mutants (A675V and C469Y) were recently reported to be associated with in vivo and in vitro ART-R [6, 8, 20]. In Senegal, most investigations have looked for SNPs in the propeller-encoding domain of Pfkelch13 gene using conventional methods such as PCR/Sanger sequencing [21–26], except for two studies that used Pfkelch13 targeted-amplicon deep sequencing (TADS) [25, 26]. Although the authors did not detect validated or candidate ART-R Pfkelch13 mutations [27], TADS approach is particularly relevant to detect the presence of minor variants in P. falciparum isolates. Here, Pfkelch13 genotype was evaluated by TADS in 38 P. falciparum isolates collected in Thiès in 2017. We also explored the genetic variation of the whole conserved-domains of Pfkelch13 gene owing that mutation in the BTB-encoding domain of Pfkelch13 gene in a western African strain has been shown to be associated with ART-R [28].
Materials And Methods
Ethics.
The National Ethics Committee for Health Research and the Ministry of Health of Senegal approved the protocol used for this study under number 00000169/MSAS/DPRS/CNERS (December 2nd, 2016). Written and informed consent was obtained from all participants, before participant recruitment and sample collection.
Study site.
The study was conducted during the peak malaria season (September to December) in 2017 in Thiès (Senegal; 14° 47′ 26″ north, 16° 55′ 29″ west), an area belonging to the Sahelian facies defined by a short malaria seasonal transmission (< 4 months). In this region, the entomological inoculation rate (EIR) is low, estimated to be < 5 [29], and malaria is mainly transmitted by Anopheles arabiensis and Anopheles gambiae mosquito vectors.
Study design.
Individuals who visited the Service de Lutte Antipaludique (SLAP) clinic with signs and symptoms suggestive of uncomplicated P. falciparum malaria were screened by microscopic examination on Giemsa-stained blood smears. Malaria infected patients were treated with artemether-lumefantrine (AL, Coartem), according to the treatment guideline of the Senegal National Malaria Control Program (NMCP). For each patient, 5 mL vacutainer tubes of venous blood were collected for ex vivo RSA.
Parasite culture and ring-stage survival assay. Parasitemia was estimated by microscopy examination on Giemsa-stained blood smears. Venous blood samples were then processed by eliminating plasma, leukocytes and anticoagulant from red blood cells (RBCs), washed twice in RPMI 1640 medium (Gibco, Life technologies). Parasitemia were adjusted to 1% if greater by adding uninfected RBCs as previously described [10]. Then, 900 μL RBCs were loaded into wells, exposed to either 100 μL of 700 nM DHA or0.1% of dimethyl sulfoxide (DMSO) and cultivated at 37°C in incubator for six hours (conditions: 94% N2, 5% CO2, 1% O2) [30]. Finally, RBCs were washed and cultivated for 66 hours. The proportions of viable parasites were estimated independently by two expert malaria microscopists on Giemsa-stained thin smears. The number of viable parasites that developed into ring/trophozoite stages were determined, pyknotic forms were excluded. The average of the two counts was calculated. If any discrepancy was noted (either difference of parasite density of > 50%), slides were checked by a third independent reader, and parasite densities were calculated by averaging the two most close counts. Survival rates were calculated as the ratio of parasites in exposed and non-exposed cultures. Results were deemed as interpretable if the parasitemia in the sample exposed to DMSO was higher than the initial parasitemia at 0h [31].
DNA extraction.
DNA was extracted from the same whole blood sample used for the ex vivo RSA using the QIAamp DNA Blood Mini Kit (Qiagen, Valencia, CA, USA) according to manufacturer instructions.
Targeted-amplicon deep sequencing of Pfkelch13.
Extracted DNA samples were subjected to two separate overlapping PCRs covering the three conserved-encoding domains of the Pfkelch13 gene (one fragment covering the CCC and BTB domains: 5’-agatgcagcaaatctta-3’ and 5’-ttctacaccatcaaatcc-3’; and the second fragment covering from the end of the CCC domain to the propeller domain (5’-aaaaagaaaaagaagaacataggaaa-3’and 5’-tgtgcatgaaaataaatattaaagaag-3’). Briefly, 1 μL of DNA was amplified with 0.25 μM of each primer, 0.2 mM of dNTP, 0.625 unit of GoTaq G2 Flexi DNA Polymerase (Promega, Madison, USA) and 2.5 mM and 3 mM of MgCl2 for the first and the second fragment respectively. The cycling conditions were as follows: 3 min at 95°C, then 40 cycles of 30 s at 95°C, 30 s at 55°C, 90 s at 68°C and final extension 3 min at 68°C. PCR products were detected using 1% agarose gel electrophoresis and SYBR Safe staining (Invitrogen, Waltham, USA). DNA from P. falciparum 3D7 strain and water were used as positive and negative controls, respectively. Generated amplicons were then sequenced. Briefly, PCR amplicons were fragmented with the Covaris S220 to about 150 bp, and libraries were constructed using the KAPA hyper Prep Library Preparation Kit (Kapa Biosystems, Woburn, MA) following the manufacturer’s protocol. Amplicons were purified and the library size selection was performed with AMPure Agencourt XPbeads. Libraries quality and quantity control were assessed using Qubit® for concentration and Bio Analyser 2100 Agilent for fragment size. Libraries were pooled at approximately equal concentration and sequenced on an Illumina NextSeq 500 instrument (Illumina Inc, San Diego, CA, USA) to generate 150 bp paired-end reads at the GENOM’IC platform of Cochin Institute (Paris, France). Raw sequences were then demultiplexed and quality trimmed at a Phred score of 30. Primer sequences were trimmed from the 5′-end of the sequences to avoid primer bias in the sequenced fragments. Base calling was performed by comparing reads with a custom database consisting of the Pfkelch13 sequence retrieved from the 3D7 reference genome. Bioinformatic analyses were performed using the CLC Genomics Workbench 22 software (Qiagen).
Results
Baseline characteristics.
A total of 38 patients with uncomplicated P. falciparum malaria meeting the inclusion criteria were enrolled. The sex ratio (M/F) was largely dominated by males (36 males/2 females). The age of the participants ranged from 9 to 70 years (median of 21.5 years). Median weight was 59.5 kg and median body temperature was 38.5°C. The median parasitemia was 1.03%, ranging from 0.68–1.53% (Table 1).
Table 1.
Baseline characteristics of the study participants and the P. falciparum isolates, Thies, Senegal, 2017.
| median | CI95% | IQR25–75 | |
|---|---|---|---|
| Age, years | 21.5 | 17.0 to 25.0 | 15.0–28.0 |
| Weight, kilogram | 59.5 | 50.5 to 64.5 | 38.0–67.0 |
| Temperature, °C | 38.5 | 38.2 to 39.1 | 37.8–39.5 |
| Glycemia | 0.9 | 0.9 to 10.9 | 0.8–1.0 |
| Hemoglobin | 13.4 | 12.1 to 14.2 | 11.5–15.4 |
| Parasitaemia % | 1.0 | 0.7 to 1.5 | 0.6–1.9 |
CI95%: Confidence interval 95%; IQR: Interquartile range
Ex vivo RSA phenotype.
Examination of blood smears and species-specific PCR revealed that all samples were pure P. falciparum infections. Ex vivo RSA were successfully performed for the 38 tested samples. Survival rates showed the absence of surviving parasite to the 700nM DHA pulse as for the 3D7 strain (0%) except for three isolates Th54, Th77 and Th95 (0.054%, 0.06% and 0.22% respectively) which were however less than the 1% threshold.
Pfkelch13 genotyping.
Among the 38 samples successfully sequenced, two non-synonymous mutations (K189T and K248R) located outside of the propeller-encoding domain were detected (Table 2). Each mutation was observed in a single sample in major (99% for K189T) and minor (5% for K248R) proportions. The Pfkelch13 K248R mutant was detected for the first time in Senegal (Table 3).
Table 2.
Proportion of non-synonymous Pfkelch13 mutations detected in the 38 P. falciparum isolates
| Codon position | Reference sequence | Mutant sequence | Type | n/N | ||
|---|---|---|---|---|---|---|
| Amino acid | Nucleotide | Amino acid | Nucleotide | |||
| 189 | K | AAA | T | ACA | NS | 1/38 |
| 248 | K | AAG | R | AGG | NS | 1/38 |
Note: The boldface highlights the nucleotide base change. Abbreviations: n, number of samples containing mutant allele; N, total number of successfully sequenced samples; NS, non-synonymous mutation
Table 3.
List of the mutations in the Pfkelch13 gene previously observed in Senegal and in the present study
| Plasmodium-specific/CCC/BTB-POZ | Propeller | Authors | Year(s) | Year(s) |
|---|---|---|---|---|
| T149S and K189T* N142N/NN (insertion) | No mutations | Madamet et al. | 2012–2013 | Dakar |
| D109H, L119L, H136N, P152P, M163I, K189T*, K189N, D214G, M235I, R239L, R255K, L258M, K278N, G287C, K293N, I313I, G357V, T367T, L368I, R398M, S423I, L429F | P443Q, S459S, Q468Q, C469C, C473F, W518C, G533V, R539I, R553I, V555L, E556V, P570L, A578D, R587I, G592V, R597I, A621A, A626V, W660C, G690G | Talundzic et al. | 2011–2014 | Dakar and Thiès |
| K123R, N137S, N142NN/NNN, T149S, and K189T/N | N554H, Q613H, and V637I | Boussaroque et al. | 2013–2014 | Dakar |
| D109H, T149S, K189N, K189T*, H274Y, D283Y, D389Y, N141-N142NN, N142N | T478T, A578S and V637I | Gaye et al. | 2015–2016 | Dakar (2015) Kédougou and Matam (2016) |
| No mutations | C469C, F491F, G545G, F583F and A627A | Ahouidi et al. | 2015, 2016 and 2017 | Bounkiling |
| No mutations | No mutations | Diallo et al. | 2018 | Diourbel and Kédougou |
| No mutations | No mutations | Delandre et al | 2015, 2016, 2017, 2018 and 2019 | Dakar |
| K189T*, K248R | No mutations | This Study | 2017 | Thiès |
Most frequent mutations
Discussion
ACTs are now the mainstay of treatment for uncomplicated malaria in malaria endemic regions [2]. Unfortunately, the emergence and the clonal expansion of Pfkelch13 mutant parasites have been reported recently in Rwanda (R561H) and Uganda (C469Y and A675V) [5–8]. Therefore, the World Health Organization (WHO) recommends to closely monitor the susceptibility of P. falciparum to antimalarial drugs and particularly to ART derivatives [4]. As in many Sub-Saharan African countries, ACTs have contributed significantly to the decline in malaria incidence and mortality over the past decade. In Senegal, considerable efforts have been done to reduce malaria morbidity and mortality mainly since 2006 when AL was introduced [3]. Consequently, the emergence of ART-resistant parasites is a major threat which can hinder road to malaria elimination.
Partial resistance to ART is associated with non-synonymous mutations in the Pfkelch13 gene. However, the impact of most mutations on ART-R detected in field samples is largely unknown mainly due to the lack of association between the clinical phenotype (delayed parasite clearance) and the Pfkelch13 genotype. The study presented here aims to fill this gap by combining ex vivo Ring-stage Survival Assay (RSA) with Pfkelch13 genotyping. The ex vivo RSA estimates the susceptibility of P. falciparum to ART using parasite isolates freshly collected from patients with malaria. The ex vivo RSA has been previously used in studies conducted in Central [32] and East Africa [31, 33]. Four isolates from Uganda showed high (> 10%) survival rates, levels of which are reported to be closely associated with delayed parasite clearance following artesunate monotherapy [31]. The data presented here showed that none of the tested samples confer in vitro ART-R with a survival rate ≥ 1%, suggesting the absence of decrease susceptibility of Senegalese parasites to ART derivatives.
Partial resistance to ART has also been associated with specific mutations in the Pfkelch13 gene [1, 2]. Since 2015, this molecular marker has been extensively used to seek Pfkelch13 mutants in Sub-Saharan African countries. By using a targeted amplicon deep sequencing approach, we detected here two mutations (K189T and K248R). The K248R mutation was observed in one sample in minor proportion (5%). The mutation is located in the CCC domain of Pfkelch13, but we think the mutation not likely related to ART-R since the survival rate was less than 1%. While K189T had already been reported in Africa [34,35], the non-synonymous mutation K248R was detected for the first time in Senegal. The isolate carrying the K189T mutation had also a survival rate < 1%, confirming that this allele does not confer in vitro ART-R as previously observed in India [36]. Only three Pfkelch13 wild-type isolates (Th54,Th77 and Th95) were found to have a survival rate above 0%. To date, in vitro susceptibility to ART derivatives by RSA of P. falciparum isolates have been reported in Cameroon and Uganda. Two studies conducted in Cameroon [32, 33] showed the absence of Pfkelch13 mutations associated with ART-R while one study in Uganda[31] reported high survival rates of isolates carrying Pfkelch13 A675V and C469Y mutations.
The study presented here has several limitations. First, only 38 samples were tested owing that ex vivo RSA is time consuming and requires skilled personnel. Second, in vitro RSA (from culture-adapted parasites) was not performed to confirm the ex vivo survival rates. And third, the study was conducted only in one site in Senegal (Thiès) and no clinical data on delayed parasite clearance (like Day-3 positivity rate) was collected.
Conclusion
This study shows that combining ex vivo RSA phenotype and Pfkelch13 genotyping can be efficiently carried out to monitor ART-R and providing relevant data to malaria control programs on parasite susceptibility to ART. Particularly, targeted-amplicon deep sequencing used here confirmed to be useful to detect the presence of minor alleles. This study showed that all P. falciparum isolates collected in Thiès were susceptible to DHA. As recommended by the WHO [4], similar studies must be conducted in Senegal and other African countries to strengthen surveillance of antimalarial drug efficacy and resistance and minimize the threat and impact of antimalarial drug resistance in Africa.
Acknowledgments
We would like to acknowledge the African Center of Excellence for Genomics of Infectious Disease (ACEGID), the International Centre for Excellence in Malaria Research (ICEMR) project and the Parasitology and Mycology Laboratory Le Dantec Hospital. We thank Frédéric Ariey, Lucie Adoux, Adja Bousso Gueye and Daba Zoumarou for their contribution to this study. The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Funding
The work was supported by the International Centers of Excellence for Malaria Research (ICEMR), West Africa (U19AI089696) and the Université Cheikh Anta Diop de Dakar. The study was also supported by the Institut Pasteur, Paris, the French Government (Agence Nationale de la Recherche), Laboratoire d’Excellence (LabEx) “French Parasitology Alliance for Health Care” (ANR-11-15 LABX-0024-PARAFRAP), the Cochin institute (ANR Chrono ANR-19-CE35-0009) and the University of Strasbourg through the Programme IdEX 2022 (DM).
Abbreviations
- ACT
Artemisinin-based combination therapy
- RSA
Ring-stage Survival Assay
- TADS
Targeted-amplicon deep sequencing
- Pfkelch13
- PCR
Polymerase chain reaction
- DNA
Deoxyribonucleic acid
- NMCP
National Malaria Control Program
- WHO
World Health Organization
Footnotes
Ethics approval and consent to participate
Ethical clearance was obtained from the Ethics Committee of the Ministry of Health in Dakar, Senegal 00000169/MSAS/DPRS/CNERS (December 2nd, 2016). Study participants, their parents, or guardians were informed about their rights, purpose, procedure, and benefit of the study and side effects of the procedure and written informed consent was obtained.
Consent for publication
The participants in this study consented for its publication.
Competing interests
The authors declare that they have no competing interests.
Contributor Information
Mamadou Samb Yade, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Baba Dièye, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Romain Coppée, Université Paris Cité and Sorbone Paris Nord, Inserm, IAME.
Aminata Mbaye, Centre for Research and Training in Infectiology of Guinea (CRTIG).
Mamadou Alpha Diallo, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Khadim Diongue, Cheikh Anta Diop University of Dakar.
Justine Bailly, University of Paris Cité, IRD, MERIT.
Atikatou Mama, Université de Paris, Institut Cochin, Inserm U1016.
Awa Fall, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Alphonse Birane Thiaw, Department of Biochemistry and Functional Genomics, Faculty of Medicine and Health Sciences.
Ibrahima Mbaye Ndiaye, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Tolla Ndiaye, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Amy Gaye, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Abdoulaye Tine, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Younouss Diédhiou, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Amadou Mactar Mbaye, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Cécile Doderer-Lang, Université de Strasbourg, UR7292 Dynamics of Host-Pathogen Interactions.
Mamane Nassirou Garba, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Amy Kristine Bei, Yale School of Public Health.
Didier Ménard, Université de Strasbourg, UR7292 Dynamics of Host-Pathogen Interactions.
Daouda Ndiaye, Centre International de Recherche et de Formation en Génomique Appliquée, et de Surveillance Sanitaire (CIGASS), Cheikh Anta Diop University of Dakar.
Availability of data and materials
The data that support the findings of this study are available from the corresponding author on reasonable request. All relevant data are within the manuscript.
References
- 1.WHO Guidelines for malaria. https://app.magicapp.org/#/guideline/6287
- 2.Nzoumbou-Boko R, Panté-Wockama CBG, Ngoagoni C, Petiot N, Legrand E, Vickos U, et al. Molecular assessment of kelch13 non-synonymous mutations in Plasmodium falciparum isolates from Central African Republic (2017–2019). Malar J. 2020. May 24;19(1):191. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Ministère de la santé et de l’action sociale. Paludisme Plan Stratégique [Google Scholar]
- 4.National de Lutte contre le Paludisme. Dakar: ; 2016. [Google Scholar]
- 5.Tackling emerging antimalarial drug resistance in Africa. https://www.who.int/news/item/18-11-2022-tackling-emerging-antimalarial-drug-resistance-in-africa.
- 6.Uwimana A, Umulisa N, Venkatesan M, Svigel SS, Zhou Z, Munyaneza T, et al. Association of Plasmodium falciparum kelch13 R561H genotypes with delayed parasite clearance in Rwanda: an open-label, single-arm, multicentre, therapeutic efficacy study. Lancet Infect Dis. 2021. Aug;21(8):1120–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Balikagala B, Fukuda N, Ikeda M, Katuro OT, Tachibana SI, Yamauchi M, et al. Evidence of Artemisinin-Resistant Malaria in Africa. N Engl J Med. 2021. Sep 23;385(13):1163–71. [DOI] [PubMed] [Google Scholar]
- 8.World Health Organization. World malaria report 2021. https://apps.who.int/iris/handle/10665/350147
- 9.Coppée R, Bailly J, Sarrasin V, Vianou B, Zinsou BE, Mazars E, et al. Circulation of an Artemisinin-Resistant Malaria Lineage in a Traveler Returning from East Africa to France. Clin Infect Dis. 2022. Oct 1;75(7):1242–4. [DOI] [PubMed] [Google Scholar]
- 10.Dondorp AM, Nosten F, Yi P, Das D, Phyo AP, Tarning J, et al. Artemisinin resistance in Plasmodium falciparum malaria. N Engl J Med. 2009. Jul 30;361(5):455–67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Witkowski B, Amaratunga C, Khim N, Sreng S, Chim P, Kim S, et al. Novel phenotypic assays for the detection of artemisinin-resistant Plasmodium falciparum malaria in Cambodia: in-vitro and ex-vivo drug-response studies. Lancet Infect Dis. 2013. Dec 1;13(12):1043–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Ariey F, Witkowski B, Amaratunga C, Beghain J, Langlois AC, Khim N, et al. A molecular marker of artemisinin-resistant Plasmodium falciparum malaria. Nature. 2014. Jan 2;505(7481):50–5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Coppée R, Jeffares DC, Miteva MA, Sabbagh A, Clain J. Comparative structural and evolutionary analyses predict functional sites in the artemisinin resistance malaria protein K13. Sci Rep. 2019. Jul 23;9(1):10675. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Amato R, Pearson RD, Almagro-Garcia J, Amaratunga C, Lim P, Suon S, et al. Origins of the current outbreak of multidrug-resistant malaria in southeast Asia: a retrospective genetic study. Lancet Infect Dis. 2018. Mar;18(3):337–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Feng J, Li J, Yan H, Feng X, Xia Z. Evaluation of Antimalarial Resistance Marker Polymorphism in Returned Migrant Workers in China. Antimicrob Agents Chemother. 2014. Dec 23;59(1):326–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Matrevi SA, Opoku-Agyeman P, Quashie NB, Bruku S, Abuaku B, Koram KA, et al. Plasmodium falciparum Kelch Propeller Polymorphisms in Clinical Isolates from Ghana from 2007 to 2016. Antimicrob Agents Chemother. 2019. Oct 22;63(11):e00802–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Aninagyei E, Duedu KO, Rufai T, Tetteh CD, Chandi MG, Ampomah P, et al. Characterization of putative drug resistant biomarkers in Plasmodium falciparum isolated from Ghanaian blood donors. BMC Infect Dis. 2020. Jul 22;20(1):533. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Uwimana A, Legrand E, Stokes BH, Ndikumana JLM, Warsame M, Umulisa N, et al. Emergence and clonal expansion of in vitro artemisinin-resistant Plasmodium falciparum kelch13 R561H mutant parasites in Rwanda. Nat Med. 2020. Oct;26(10):1602–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Bergmann C, van Loon W, Habarugira F, Tacoli C, Jäger JC, Savelsberg D, et al. Increase in Kelch 13 Polymorphisms in Plasmodium falciparum, Southern Rwanda. Emerg Infect Dis. 2021. Jan;27(1):294–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Straimer J, Gandhi P, Renner KC, Schmitt EK. High Prevalence of Plasmodium falciparum K13 Mutations in Rwanda Is Associated With Slow Parasite Clearance After Treatment With Artemether-Lumefantrine. J Infect Dis. 2022. Apr 19;225(8):1411–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Asua V, Conrad MD, Aydemir O, Duvalsaint M, Legac J, Duarte E, et al. Changing Prevalence of Potential Mediators of Aminoquinoline, Antifolate, and Artemisinin Resistance Across Uganda. J Infect Dis. 2021. Mar 29;223(6):985–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Limited polymorphisms in k13 gene in Plasmodium falciparum isolates from Dakar, Senegal in 2012–2013. https://malariajournal.biomedcentral.com/articles/10.1186/1475-2875-13-472 [DOI] [PMC free article] [PubMed]
- 23.Boussaroque A, Fall B, Madamet M, Camara C, Benoit N, Fall M, et al. Emergence of Mutations in the K13 Propeller Gene of Plasmodium falciparum Isolates from Dakar, Senegal, in 2013–2014. Antimicrob Agents Chemother. 2016. Jan;60(1):624–7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Diallo MA, Yade MS, Ndiaye YD, Diallo I, Diongue K, Sy SA, et al. Efficacy and safety of artemisinin-based combination therapy and the implications of Pfkelch13 and Pfcoronin molecular markers in treatment failure in Senegal. Sci Rep. 2020. Jun 1;10(1):8907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ahouidi A, Oliveira R, Lobo L, Diedhiou C, Mboup S, Nogueira F. Prevalence of pfk13 and pfmdr1 polymorphisms in Bounkiling, Southern Senegal. PLOS ONE. 2021. Mar 26;16(3):e0249357. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Talundzic E, Ndiaye YD, Deme AB, Olsen C, Patel DS, Biliya S, et al. Molecular Epidemiology ofPlasmodium falciparum kelch13 Mutations in Senegal Determined by Using Targeted Amplicon Deep Sequencing. Antimicrob Agents Chemother. 2017. Feb 23;61(3):e02116–16. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Gaye A, Sy M, Ndiaye T, Siddle KJ, Park DJ, Deme AB, et al. Amplicon deep sequencing of kelch13 in Plasmodium falciparum isolates from Senegal. Malar J. 2020. Mar 30;19(1):134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Report on antimalarial drug efficacy, resistance and response: 10 years of surveillance (2010–2019). https://www.who.int/publications-detail-redirect/9789240012813
- 29.Paloque L, Coppée R, Stokes BH, Gnädig NF, Niaré K, Augereau JM, et al. Mutation in the Plasmodium falciparum BTB/POZ Domain of K13 Protein Confers Artemisinin Resistance. Antimicrob Agents Chemother. 2022. Jan 18;66(1):e0132021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Wong W, Griggs AD, Daniels RF, Schaffner SF, Ndiaye D, Bei AK, et al. Genetic relatedness analysis reveals the cotransmission of genetically related Plasmodium falciparum parasites in Thiès, Senegal. Genome Med. 2017. Jan 24;9:5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Ak B, Sd P, Sk V, Ad A, D N, S M, et al. An adjustable gas-mixing device to increase feasibility of in vitro culture of Plasmodium falciparum parasites in the field. PloS One. https://pubmed.ncbi.nlm.nih.gov/24603696/ [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ikeda M, Kaneko M, Tachibana SI, Balikagala B, Sakurai-Yatsushiro M, Yatsushiro S, et al. Artemisinin-Resistant Plasmodium falciparum with High Survival Rates, Uganda, 2014–2016. Emerg Infect Dis. 2018. Apr;24(4):718–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Menard S, Tchoufack JN, Maffo CN, Nsango SE, Iriart X, Abate L, et al. Insight into k13-propeller gene polymorphism and ex vivo DHA-response pro les from Cameroonian isolates. Malar J. 2016. Nov 26;15(1):572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Cooper RA, Conrad MD, Watson QD, Huezo SJ, Ninsiima H, Tumwebaze P, et al. Lack of Artemisinin Resistance in Plasmodium falciparum in Uganda Based on Parasitological and Molecular Assays. Antimicrob Agents Chemother. 2015. Aug;59(8):5061–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Kayiba NK, Yobi DM, Tshibangu-Kabamba E, Tuan VP, Yamaoka Y, Devleesschauwer B, et al. Spatial and molecular mapping of Pfkelch13 gene polymorphism in Africa in the era of emerging Plasmodium falciparum resistance to artemisinin: a systematic review. Lancet Infect Dis. 2021. Apr;21(4):e82–92. [DOI] [PubMed] [Google Scholar]
- 36.Riloha Rivas M, Warsame M, Mbá Andeme R, Nsue Esidang S, Ncogo PR, Phiri WP, et al. Therapeutic efficacy of artesunate-amodiaquine and artemether-lumefantrine and polymorphism in Plasmodium falciparum kelch13-propeller gene in Equatorial Guinea. Malar J. 2021. Jun 22;20(1):275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.S D, B S, Ak H, S R. Evidence of Artemisinin-Resistant Plasmodium falciparum Malaria in Eastern India. N Engl J Med. https://pubmed.ncbi.nlm.nih.gov/30428283/ [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author on reasonable request. All relevant data are within the manuscript.
