- Open Access
Low polymorphisms in pfact, pfugt and pfcarl genes in African Plasmodium falciparum isolates and absence of association with susceptibility to common anti-malarial drugs
Malaria Journalvolume 18, Article number: 293 (2019)
Resistance to all available anti-malarial drugs has emerged and spread including artemisinin derivatives and their partner drugs. Several genes involved in artemisinin and partner drugs resistance, such as pfcrt, pfmdr1, pfK13 or pfpm2, have been identified. However, these genes do not properly explain anti-malarial drug resistance, and more particularly clinical failures observed in Africa. Mutations in genes encoding for Plasmodium falciparum proteins, such as P. falciparum Acetyl-CoA transporter (PfACT), P. falciparum UDP-galactose transporter (PfUGT) and P. falciparum cyclic amine resistance locus (PfCARL) have recently been associated to resistance to imidazolopiperazines and other unrelated drugs.
Mutations on pfugt, pfact and pfcarl were characterized on 86 isolates collected in Dakar, Senegal and 173 samples collected from patients hospitalized in France after a travel in African countries from 2015 and 2016 to assess their potential association with ex vivo susceptibility to chloroquine, quinine, lumefantrine, monodesethylamodiaquine, mefloquine, dihydroartemisinin, artesunate, doxycycline, pyronaridine and piperaquine.
No mutations were found on the genes pfugt and pfact. None of the pfcarl described mutations were identified in these samples from Africa. The K784N mutation was found in one sample and the K734M mutation was identified on 7.9% of all samples for pfcarl. The only significant differences in ex vivo susceptibility according to the K734M mutation were observed for pyronaridine for African isolates from imported malaria and for doxycycline for Senegalese parasites.
No evidence was found of involvement of these genes in reduced susceptibility to standard anti-malarial drugs in African P. falciparum isolates.
According to the World Health Organization (WHO) recommendations, endemic countries have adopted the use of artemisinin-based combination therapy (ACT) to treat uncomplicated malaria cases . Despite considerable progress, 219 million new malaria cases were reported with 435,000 deaths in 2017 . Currently, artemisinin-based combinations are the most potent available anti-malarial drugs that are used for the reduction of the malaria global burden. Combination of a long acting drug with the short acting artemisinin is used to provide a protection against emergence of resistant parasites . Mefloquine, lumefantrine, amodiaquine, and more recently piperaquine and pyronaridine are the available artemisinin-based partner drugs in ACT. Resistance to artemisinin described as a delayed parasite clearance after treatment has emerged in Southeast Asia [4, 5]. It was also reported that low treatment success rate of ACT was associated with resistance to the partner drugs. This resistance has been described in Southeast Asia and may occur in Africa soon [6, 7].
In 2013, a molecular marker strongly associated with artemisinin resistance was identified as mutations in the Kelch 13 propeller domain (pfk13) in the Southeast Asia, but none of these mutations are yet documented in Africa [8, 9]. Pfk13 and/or the Ring-stage Survival Assay (RSA) are now used as tools to track artemisinin and artemisinin derivatives resistance in endemic areas in addition with epidemiological survey. However, recent studies proved that pfk13 is not the only marker to be associated with artemisinin resistance . Clinical failures with ACT have also been observed in African patients with P. falciparum parasites without pfk13 polymorphism [11,12,13,14,15]. Polymorphisms in other genes, like P. falciparum actin-binding protein coronin, P. falciparum ubiquitin carboxyl-terminal hydrolase 1 (pfubp1) or P. falciparum clathrin vesicle-associated adaptor 2 µ subunit (pfap2mu), have been also found to be associated with artemisinin resistance in African isolates [16, 17].
Additionally, resistance has also emerged to dihydroartemisinin–piperaquine, the most recently marketed ACT, in Cambodia and Vietnam [18,19,20,21]. In vitro and in vivo resistance to piperaquine has been associated with amplification of copy number of the plasmepsin II gene (pfpm2) in Cambodian isolates [22, 23]. However, amplification of this gene seems to be not associated with piperaquine in vitro and in vivo resistance particularly in Africa [24,25,26,27,28,29]. In conclusion, predictive molecular markers to track resistance to ACT in Africa are not yet identified.
Drug efficacy is modulated by parasite membrane proteins that are involved in drug transport. Two parasites membrane proteins, the Plasmodium falciparum chloroquine resistance transporter (PfCRT) and the P. falciparum multidrug resistance protein 1 (PfMDR1), both localized on the membrane of the digestive food vacuole, have been involved in drug resistance [30,31,32]. These proteins play an important role in trafficking of drugs between the parasite cytosol and the food vacuole. Their association with quinoline resistance has been demonstrated in many studies [30, 33,34,35].
But other less studied proteins may be involved in molecules traffic within the parasite. The P. falciparum Acetyl-CoA transporter (PfACT) and the P. falciparum UDP-galactose transporter (PfUGT)  are examples of major facilitator superfamily transporters and may share similar function . The protein PfACT function is not known yet, but its parasite localization and its homologues form in other organisms suggest that this protein may be involved in intracellular translocation of small molecules including metabolites, nucleosides, oligosaccharides, amino-acids, oxyanions and drugs. These two putative transporters have been associated with in vitro resistance to imidazolopiperazines, and more particularly to KAF156 and GNF179, two new potential antimalarial compounds that are under clinical evaluation . KAF156 showed high in vitro activity and in vivo efficacy against P. falciparum and P. vivax and in vitro and in vivo transmission blocking activity [39, 40]. KAF156 did not show in vitro cross-resistance with artemisinin and lumefantrine . GNF179 was active in vitro against blood stages as well as liver stages . Resistant parasites to KAF156 and GNF179 generated in vitro showed different mutations (A94T, R108K, S110R, D165N, C183*, S242*, L253* and G559K) in the pfact gene and a substitution of a phenylalanine by a valine at the position 37 of the gene pfugt (F37V) . Additionally, the generation of resistant parasites to KAF156 and GNF179 lead to mutations (L830V, S1076N/I, V1103L, I1139K) in the P. falciparum cyclic amine resistance locus (PfCARL) [38, 39, 41,42,43]. Pfcarl plays a role in protein folding within the endoplasmic reticulum . Mutations in pfcarl did not lead to in vitro resistance to artemisinin, chloroquine and mefloquine in two mutant strains . These three genes seem to be multidrug-resistance genes specific to resistance to benzimidazolyl piperidines and imidazolopiperazines [38, 42, 43]. However, the data on cross-resistance with standard anti-malarial drugs were obtained from in vitro selection of P. falciparum mutant clones. Neither the involvement of these three genes in resistance to imidazolopiperazines nor cross-resistance with standard anti-malarial drugs have been assessed in field isolates. There are no data on polymorphisms and their prevalence in natural parasite populations, or in the involvement of these three genes on the susceptibility of ACT partner drugs such as piperaquine, pyronaridine, lumefantrine or amodiaquine against field P. falciparum isolates.
The present study aimed to evaluate the prevalence of polymorphisms in pfact, pfugt and pfcarl genes and to evaluate their association with reduced susceptibility to common anti-malarial drugs on 259 P. falciparum African isolates.
Eighty-six of the samples used were collected from falciparum malaria patients, who were recruited at the Hôpital Principal de Dakar, Senegal after the rainy seasons between 2013 and 2015 in the context of studies on evaluation of anti-malarial drug resistance [15, 45,46,47]. A total of 173 samples collected between 2015 and 2016 from patients hospitalized in France with imported malaria from a malaria-endemic country, especially from Cameroon, Côte d’Ivoire, Central African Republic, Burkina Faso, Togo, Gabon, Guinea and Senegal (Fig. 1) were additionally used to complete the study. Twelve samples have an unknown African origin. The samples were sent from different civilian or military hospitals of the French National Reference Centre for Imported Malaria network (Aix en Provence, Bordeaux, Fréjus, Marseille, Montpellier, Nice, Toulon and Toulouse) to the French National Reference Centre for Malaria (IRBA, IHU Méditerranée Infection Marseille).
Peripheral venous blood samples were collected in Vacutainer® ACD tubes (Becton–Dickinson, Rutherford, NJ, USA) prior to patient treatment for parasite detection. The diagnosis was performed on thin blood smears that were stained using a RAL® kit (Réactifs RAL, Paris, France), based on eosin and methylene blue, to determine the P. falciparum density. The diagnosis of P. falciparum mono-infection was confirmed by real time PCR (LightCycler 2.0, Roche Group, Switzerland), as previously described . An aliquot of each sample was collected and stored at − 20 °C for molecular study. Parasitized erythrocytes were washed three times in RPMI 1640 medium (Invitrogen, Paisley, UK) buffered with 25 mM HEPES and 25 mM NaHCO3. If parasitaemia exceeded 0.1%, infected erythrocytes were diluted to 0.1% with uninfected erythrocytes (human blood type A+) and resuspended in RPMI 1640 medium supplemented with 10% human serum (Abcys S.A. Paris, France), for a final haematocrit of 1.5%. The susceptibility of the isolates to the different anti-malarial drugs was assessed without culture adaptation.
Drugs and ex vivo assay
Chloroquine (CQ), quinine (QN), dihydroartemisinin (DHA) and doxycycline (DOX) were obtained from Sigma (Saint Louis, MO, USA), monodesethylamodiaquine (DQ) from the World Health Organization (Geneva, Switzerland), mefloquine (MQ) from Roche (Paris, France), lumefantrine (LMF) from Novartis Pharma (Basel, Switzerland), and artesunate (AS), piperaquine (PPQ) and pyronaridine (PND) from Shin Poong Pharm Co. (Seoul, Korea).
For each experiment, parasitized erythrocytes (final parasitemia at 0.5% and a final haematocrit at 1.5%) were aliquoted into 96-well plates that were pre-dosed with a concentration gradient of anti-malarial drugs. The plates were incubated for 72 h at 37 °C in controlled atmosphere at 85% N2, 10% O2, 5% CO2 for imported isolates and in a sealed bag with atmospheric generators for capnophilic bacteria using Genbag CO2® at 5% CO2 and 15% O2 (BioMérieux, Marcy l’Etoile, France) for Senegalese isolates . The drug susceptibility assay was performed using the HRP2 ELISA-based assay Malaria Ag Celisa kit (ref KM2159, Cellabs PTY LDT, Brookvale, Australia), as previously described .
Each batch of plates was validated using the CQ-resistant W2 strain (isolated in Indochina; obtained from MR4, VA, USA) in four independent experiments using the same conditions described below.
The mean 50% inhibitory concentration (IC50) values for the chloroquine-resistant W2 strain for the different batches used over 2 years in controlled atmosphere at 85% N2, 10% O2, 5% CO2 were 484 ± 40 nM for CQ, 388 ± 29 nM for QN, 97 ± 18 nM for DQ, 1.0 ± 0.4 nM for LMF, 26.3 ± 3.1 nM for MQ, 54.1 ± 5.4 nM for PPQ, 20.4 ± 3.4 nM for PND, 2.5 ± 0.4 nM for DHA, 1.5 ± 0.3 nM for AS and 11.5 ± 1.9 µM for DOX. A comparison of the W2 susceptibility data of the ten anti-malarial drugs between the different batches of plates indicated that there was no significant difference in the responses to anti-malarial drugs over the 2 years (0.583 < p < 0.993). The cut-off values for the reduced ex vivo susceptibility or resistance were as follows: 100 nM (CQ), 800 nM (QN), 80 nM (DQ), 30 nM (MQ), 150 nM (LMF), 135 nM (PPQ), 60 nM (PND), 10.5 nM (DHA and AS) and 35 µM (DOX) [50, 51].
The mean IC50 values for the W2 strain for the different batches used during the 3 years using atmospheric generators for capnophilic bacteria were 292 nM for CQ, 275 nM for QN, 72 nM for DQ, 13.7 nM for LMF, 15.4 nM for MQ, 32.5 nM for PPQ, 26.4 nM for PND, 1.27 nM for DHA, and 10.7 µM for DOX. A comparison of W2 susceptibility data for the nine anti-malarial drugs indicated that there was no significant difference in the responses to anti-malarial drugs over the 3 years (0.39 < p < 0.95). The cut-off values for the reduced ex vivo susceptibility or resistance were as follows: 77 nM (CQ), 611 nM (QN), 61 nM (DQ), 30 nM (MQ), 115 nM (LMF), 135 nM (PPQ), 60 nM (PND), 12 nM (DHA and AS) and 37 µM (DOX) [46, 47, 52].
Nucleic acid extraction
Total genomic DNA of each sample was isolated and purified using the QIAamp® DNA Mini kit according to the manufacturer’s recommendations (Qiagen, Hilden, Germany).
Genotyping of pfact, pfugt and pfcarl
The three genes, pfact (PF3D7_1036800), pfugt (PF3D7_1113300) and pfcarl (PF3D7_0321900), were amplified by polymerase chain reaction using the oligonucleotide primer pairs described in Table 1.
Two primer pairs were used to amplify the pfact fragments (1042 and 407 nucleotides). The reaction mixture contained 200 ng of genomic DNA, 0.32 µM of each primer, 1× final of reaction buffer (750 mM of Tris–HCl, 200 mM of (NH4)2SO4, 0.1% (v/v) Tween 20 and stabilizer, pH 8.8), 2.5 mM of MgCl2, 200 µM of dNTP mixture and 1 U of Hot Diamond Taq® polymerase (Eurogentec, Liège, Belgium) in a final volume of 25 µL. The thermal cycler (Life Eco V 2.04; Bioer, China) was programmed as follows: 95 °C for 10 min, 40 cycles of 95 °C for 30 s, hybridization temperature for 45 s (Table 1), 72 °C for 1 min 20 s, and a final 10-min extension step at 72 °C.
A fragment of 600 nucleotides of pfugt gene was amplified using the two primer pairs described in Table 1. The reaction mixture contained 200 ng of genomic DNA, 0.32 µM of each primer, 1× final of reaction buffer (750 mM of Tris–HCl, 200 mM of (NH4)2SO4, 0.1% (v/v) Tween 20 and stabilizer, pH 8.8), 2.5 mM of MgCl2, 200 µM of dNTP mixture and 1 U of Hot Diamond Taq® polymerase (Eurogentec, Liège, Belgium) in a final volume of 25 µL. The thermal cycler (Life Eco V 2.04; Bioer, China) was programmed as follows: 95 °C for 10 min, 40 cycles of 95 °C for 30 s, hybridization temperature for 45 s (Table 1), 72 °C for 45 s, and a final 10-min extension step at 72 °C.
To analyse pfcarl mutations, a fragment of 821 nucleotides was amplified using the specific primer pair described in Table 1. The reaction mixture contained 200 ng of genomic DNA, 0.32 µM of each primer, 1× final of reaction buffer (750 mM of Tris–HCl, 200 mM of (NH4)2SO4, 0.1% (v/v) Tween 20 and stabilizer, pH 8.8), 2.5 mM of MgCl2, 200 µM of dNTP mixture and 1 U of Hot Diamond Taq® polymerase (Eurogentec, Liège, Belgium) in a final volume of 25 µL. The thermal cycler (Life Eco V 2.04; Bioer, China) was programmed as follows: 95 °C for 10 min, 40 cycles of 95 °C for 30 s, hybridization temperature for 45 s (Table 1), 72 °C for 1 min, and a final 10-min extension step at 72 °C.
The purified amplicons were sequenced using corresponding PCR primers and a sequencing primer for pfact first fragment (Table 1) on an ABI Prism 3100 analyser (Applied Biosystems, Villebon sur Yvette, France) according to the manufacturers’ instructions. Sequences were aligned and compared with the corresponding sequences of the P. falciparum 3D7 using Vector NTI 10.3.0 (Invitrogen, Cergy Pontoise, France) to identify potential SNPs.
Data and statistical analysis
Samples and genotype distribution were performed on Tableau Desktop (Version 10.3.2). Plots of IC50 distribution were performed using R software. Statistical analyses were performed on SPSS, Version 16 (IBM, USA). Normally distributed IC50s data for each drug were assessed by the Kolmogorov–Smirnov test.
Ex vivo susceptibility to anti-malarial drugs
The average parameters of the IC50 values for the ten anti-malarial drugs are presented in Table 2. The distribution of the IC50 values are showed in Fig. 2 for the Senegalese isolates and in Fig. 3 for malaria imported isolates.
Gene sequence polymorphism analysis
The previously identified mutations at position 94, 108, 110, 165, 183, 242, 253 and 559 in the pfact gene were not detected and no other polymorphism was identified in the 259 African isolates. For the gene pfugt, all samples were also wild type at position 37 and no other polymorphism was identified within the sequences.
None of the mutations of the pfcarl gene involved in imidazolopiperazine resistance was found in African P. falciparum isolates. Three new mutations were detected: the K784N mutation present in one isolate, the K734M mutation (8.9% on Senegalese samples and 7.5% on malaria imported samples) and the K903E mutation which was found on both all Senegalese and malaria imported valid sequences (100%). The only significant differences in ex vivo susceptibility according to the K734M mutation were observed for PND for African isolates from imported malaria (p = 0.028; 22.1 nM vs. 39.2 nM) and for DOX for Senegalese parasites (p = 0.034; 26.4 µM vs. 8.0 µM) (Table 3). The difference in PND IC50s according to the wild type/mutant haplotype of PfCARL was not significant by pooling all the IC50s from imported and Senegalese isolates (20.4 nM vs. 30.4 nM; p = 0.202). There was no significant difference between the prevalences of 734 M mutated parasites in susceptible isolates and that in parasites with reduced susceptibility to the different anti-malarial drugs tested in the present study (p values between 0.053 and 1 [Fisher’s exact test]) (Table 4).
The aim of the present study was to determine whether described SNPs in the genes pfact, pfugt and pfcarl, involved in imidazolopiperazine resistance, are found in African isolates, their prevalence and if these mutations are associated with common anti-malarial drug susceptibility. The main limitation of this study is the low number of parasites with reduced susceptibility to LMF (0% for Senegalese isolates and imported isolates), QN (5.7% for Senegalese isolates and 0% for imported isolates), PND (3.1% for Senegalese isolates and 6.1% for imported isolates) and PPQ (6.1% for Senegalese isolates and 0.6% for imported isolates). However, IC50 values were distributed in a broad way (Figs. 2, 3). There was no polymorphism in the analysed sequence of pfact and pfugt. None of the mutations of the pfcarl gene involved in imidazolopiperazine resistance was found in African P. falciparum isolates but three other ones were identified: the K784N mutation present in one isolate, the K734M mutation (7.9%) (prevalence of 8.9% in Senegalese samples and 7.5% in malaria imported samples from Africa) and the K903E mutation (100%). These mutations were also found in P. falciparum sequences filed on PlasmoDB in similar proportions: 0.4% for K784N, 11% for K734M and 99% for K903E mutation. The K734M seemed to be not associated with susceptibility to standard anti-malarial drugs. No evidence was found of prevalence difference between susceptible isolates and parasites with reduced susceptibility. Only parasites collected from African imported malaria carrying the K734M mutation were significantly less susceptible to pyronaridine than wild P. falciparum parasites (39.2 nM vs. 22.1 nM; p = 0.028). However, these data should be taken with caution due to the low number of samples, and more specially parasites with reduced susceptibility to anti-malarial drugs. It is necessary to further assess more P. falciparum isolates to ascertain the potential association between the pfcarl K734M mutation and reduced susceptibility to pyronaridine.
A limitation of this kind of study is the strength of the correlation between ex vivo or in vitro studies and therapeutic efficacy assays. Clinical failures with dihydroartemisinin/piperaquine in Cambodia were associated with resistant phenotype but this association has not been shown yet in Africa [22, 23, 55]. Association between these two methods is not fully established for some anti-malarial drugs like mefloquine, lumefantrine, piperaquine, pyronaridine, and more particularly in Africa. The main explanations for a lack of correlation are that in vitro assays and clinical studies of therapeutic efficacy do not address the same biological and clinical endpoints and the cut off for in vitro reduced susceptibility are usually fixed arbitrarily without any reference to predictable clinical and parasitological response . Many factors, and more specially host factors like acquired immunity, nutritional status, pharmacokinetic characteristics, interact in drug in vivo efficacy. However, the major criteria for a valid in vitro or ex vivo threshold should be the association with clinical outcome.
Additionally, in the absence of standardized ex vivo and in vitro tests, it is very difficult to compare data from different laboratories. IC50 and cut-off values for in vitro resistance are specific to the methodology. The in vitro effects and the IC50 values for anti-malarial drugs depend on incubation conditions [57, 58], gas conditions (e.g., the effects of O2 and CO2) [45, 59], and methodology (e.g., use of an isotopic test vs. an immune-enzymatic test) . These differences in methodology must be taken into account when comparing and analysing resistance data from different studies. The use of a reference strain as internal control is essential to validate and compare data obtained with several batches of plates.
None of the mutations of the pfact, pfugt and pfcarl genes involved in imidazolopiperazine or benzimidazolyl piperidine resistance was found in 259 African P. falciparum isolates. The prevalence of these mutations in Africa was very low. This absence of mutations involved in imidazolopiperazine or benzimidazolyl piperidine resistance suggests that the pfact, pfugt and pfcarl genes are not involved in quinoline ex vivo resistance (28.3 to 48.6% of resistance to chloroquine, 8.1 to 23.6% of resistance to desethylamodiaquine or 48.5 to 67.7% of resistance to mefloquine) and in doxycycline reduced susceptibility (17.3 to 28.2%) in the 259 P. falciparum African isolates which were evaluated in the present study. Additionally, the 734M mutation identified in the pfcarl gene at a rate of 7.9% was not associated with ex vivo susceptibility to standard anti-malarial drugs. This absence of identification of the mutations in pfact, pfugt and pfcarl genes, which are involved in imidazolopiperazine resistance, in 259 African P. falciparum isolates, is suggesting a very low prevalence of resistant parasites, encouraging data for the use of KAF156 and GNF179 for malaria treatment.
Availability of data and materials
The datasets analysed in this study are available from the corresponding author on reasonable request.
artemisinin-based combination therapy
- IC50 :
50% inhibitory concentration
Plasmodium falciparum Acetyl-CoA transporter
- pfap2mu :
P. falciparum clathrin vesicle-associated adaptor 2 µ subunit
Plasmodium falciparum cyclic amine resistance locus
Plasmodium falciparum chloroquine resistance transporter
Plasmodium falciparum Kelch 13
Plasmodium falciparum multidrug resistance 1 gene
- pfubp1 :
P. falciparum ubiquitin carboxyl-terminal hydrolase 1 gene
Plasmodium falciparum UDP-galactose transporter
single nucleotide polymorphism
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The authors thank the patients and the staff of the Hôpital Principal de Dakar and of the hospitals of the French National Reference Centre for Imported Malaria network.
French National Reference Centre for Imported Malaria Study Group: V Augis (Hôpital Pellegrin, Bordeaux), D Basset (Centre Hospitalier Universitaire de Montpellier, Montpellier), P Bastien (Centre Hospitalier Universitaire de Montpellier, Montpellier), F Benoit-Vical (Centre Hospitalier Universitaire de Rangueil, Toulouse), A Berry (Centre Hospitalier Universitaire de Rangueil, Toulouse), P Brouqui (Institut Hospitalo-Universitaire Méditerranée Infection, Marseille), M Cividin (Centre Hospitalier du Pays d’Aix, Aix en Provence), P Delaunay (Centre Hospitalier Universitaire de l’Archet, Nice), L Delhaes (Hôpital Pellegrin, Bordeaux), M Drancourt (Institut Hospitalo-Universitaire Méditerranée Infection, Marseille), T Gaillard (Hôpital d’Instruction des Armées Saint-Anne, Toulon), A Genin (Centre Hospitalier du Pays d’Aix, Aix en Provence), E Garnotel (Hôpital d’Instruction des Armées Laveran, Marseille), E Javelle (Hôpital d’Instruction des Armées Laveran, Marseille), C L’Ollivier (Institut Hospitalo-Universitaire Méditerranée Infection, Marseille), M Leveque (Centre Hospitalier Universitaire de Montpellier, Montpellier), D Malvy (Hôpital Pellegrin, Bordeaux), P Marty (Centre Hospitalier Universitaire de l’Archet, Nice), M Mechain (Hôpital Pellegrin, Bordeaux), G Ménard (Hôpital d’Instruction des Armées Saint-Anne, Toulon), P Millet (Hôpital Pellegrin, Bordeaux), P Minodier (Hôpital Nord, Marseille), A Mottard (Hôpital de Fréjus-Saint Raphael, Fréjus), P Parola (Institut Hospitalo-Universitaire Méditerranée Infection, Marseille), R Piarroux (Hôpital la Timone, Marseille), C Pomares-Estran (Centre Hospitalier Universitaire de l’Archet, Nice), M-C Receveur (Hôpital Pellegrin, Bordeaux), A Robin (Centre Hospitalier du Pays d’Aix, Aix en Provence), E Sappa (Centre Hospitalier du Pays d’Aix, Aix en Provence), H Savini (Hôpital d’Instruction des Armées Laveran, Marseille), F Simon (Hôpital d’Instruction des Armées Laveran, Marseille), Y Sterkers (Centre Hospitalier Universitaire de Montpellier, Montpellier), C Surcouf (Hôpital d’Instruction des Armées Laveran, Marseille), E Varlet (Centre Hospitalier Universitaire de Montpellier, Montpellier), A Wolff (Hôpital d’Instruction des Armées Laveran, Marseille).
This research was supported by the Délégation Générale pour l’Armement (Grant No. PDH-2-NRBC-4-B-4104), the Schéma directeur Paludisme Etat Major des Armées Françaises (Grant LR 607), by the Ministère des Affaires Etrangères and by the French Institute for Public Health Surveillance (Santé Publique France, Grant CNR paludisme). Francis T Foguim was supported by a scholarship from the Foundation Méditerranée Infection.
Ethics approval and consent to participate
Bio-banking of human clinical samples used for malaria diagnostics and secondary uses for scientific purposes is possible as long as the corresponding patients are informed and have not indicated any objections. This requirement was fulfilled here by giving verbal information to the patients, and no immediate or delayed patient opposition was reported to the hospital clinicians. Verbal consent was obtained from all the patients or their parents/guardians before blood collection in Dakar. The ethical committee of the Hôpital Principal de Dakar approved the study. Informed consent was not required for this study because the sampling procedures and testing are part of the French national recommendations for the care and surveillance of malaria.
Consent for publication
The authors declare that they have no competing interests.
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