Literature DB >> 21569596

High prevalence of dhfr triple mutant and correlation with high rates of sulphadoxine-pyrimethamine treatment failures in vivo in Gabonese children.

Ghyslain Mombo-Ngoma1, Sunny Oyakhirome, Rosalynn Ord, Julian J Gabor, Katja C Greutélaers, Katharina Profanter, Benedikt Greutélaers, Florian Kurth, Bertrand Lell, Jürgen F J Kun, Saadou Issifou, Cally Roper, Peter G Kremsner, Martin P Grobusch.   

Abstract

BACKGROUND: Drug resistance contributes to the global malaria burden. Plasmodium falciparum dihydrofolate reductase (dhfr) and dihydropteroate synthase (dhps) polymorphisms confer resistance to sulphadoxine-pyrimethamine (SP).
METHODS: The study assessed the frequency of SP resistance-conferring polymorphisms in Plasmodium falciparum-positive samples from two clinical studies in Lambaréné. Their role on treatment responses and transmission potential was studied in an efficacy open-label clinical trial with a 28-day follow-up in 29 children under five with uncomplicated malaria.
RESULTS: SP was well tolerated by all subjects in vivo. Three subjects were excluded from per-protocol analysis. PCR-corrected, 12/26 (46%) achieved an adequate clinical and parasitological response, 13/26 (50%) were late parasitological failures, while 1/26 (4%) had an early treatment failure, resulting in early trial discontinuation. Of 106 isolates, 98 (92%) carried the triple mutant dhfr haplotype. Three point mutations were found in dhps in a variety of haplotypic configurations. The 437G + 540E double mutant allele was found for the first time in Gabon.
CONCLUSIONS: There is a high prevalence of dhfr triple mutant with some dhps point mutations in Gabon, in line with treatment failures observed, and molecular markers of SP resistance should be closely monitored.

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Year:  2011        PMID: 21569596      PMCID: PMC3112455          DOI: 10.1186/1475-2875-10-123

Source DB:  PubMed          Journal:  Malar J        ISSN: 1475-2875            Impact factor:   2.979


Background

Plasmodium falciparum malaria is a major cause of morbidity and mortality amongst children in sub-Saharan Africa; killing an estimated 1 million children below five years of age annually [1]. Chloroquine and sulphadoxine-pyrimethamine (SP) were, until fairly recently, the mainstays of malaria treatment in Africa. Resistance to chloroquine is now widespread, while resistance to SP increases. When used as first line treatment for malaria, SP exerts a strong selection pressure on parasite populations, thus increasing the frequency of resistance mutations in the dihydrofolate reductase (dhfr) gene which codes for the enzyme DHFR (the target of pyrimethamine) [2,3] and the dihydropteroate synthase (dhps) gene which codes for the enzyme DHPS (the target of sulphadoxine) [4,5] in the parasite reservoir [6]. These mutations are known to confer resistance to the component drugs of SP in P. falciparum, and this rise in resistance has been well documented in studies in vivo throughout the African continent [7-11]. Consequently, there is now a general move towards artemisinin-based combination therapy as first line anti-malarial treatment of uncomplicated falciparum malaria [12]. As elsewhere, in the Lambaréné area in the Moyen Ogoué Province, Gabon, artemisinin-based combination therapy is increasingly frequently prescribed and administered (Profanter et al., submitted for publication). However, the use of SP for curative treatment in Gabon is still common because it is affordable on household level. SP is also recommended for use as intermittent preventive treatment of malaria in pregnancy (IPTp) [13] whilst intermittent preventive treatment in infants (IPTi) with SP has been evaluated in detail [14] and has recently been adopted by the World Health Organization as an additional malaria control tool [15]. Given these facts, monitoring of SP resistance remains an important task. Different combinations of point mutations in the parasite's dhfr and dhps genes confer varying levels of drug tolerance. A dhfr codon 108 exchange (Ser-108 to Asn-108) confers mild pyrimethamine tolerance. The additional presence of Ile-51 and Arg-59 confers pronounced resistance to pyrimethamine and predicts SP treatment failure in some areas. Similarly, for dhps, mutant Gly-437 is associated with some sulfonamide resistance while additional changes Glu-540, Gly-581, and Ser-613 appear to increase its degree [16]. A common mutation Ala-436 is generally considered an alternative wild type polymorphism [17]. The combination of the dhfr triple mutant together with a dhps Gly-437 + Glu-540 double mutant has been shown to predict SP treatment failure in East African settings [18,19] but this genotype is rare in West Africa. This paper reports the prevalence of dhfr and dhps point mutations in P. falciparum isolates collected from children with malaria attacks in Lambaréné from 2005 to 2007, and the associations of these point mutations with SP treatment outcome.

Methods

Study area and samples

Blood samples positive with P. falciparum were collected from patients and asymptomatic individuals during two separate studies from 2005 to 2007, initiated by the IPTi consortium [14] and carried out at the Medical Research Unit of the Albert Schweitzer Hospital in Lambaréné, Gabon. In this study area of 30,000 inhabitants, malaria transmission is perennial, with little seasonal variation [20,21]. One study was an IPTi trial (ClinicalTrials.gov identifier: NCT00167843) reported elsewhere [21,22] and included into a meta-analysis of IPTi-SP trials across Africa [14]. The second study as reported here was an in vivo therapeutic efficacy trial of SP in children aged 6-59 months with uncomplicated falciparum malaria (ClinicalTrials.gov identifier: NCT00453856). Both studies were approved by the ethics committee of the International Foundation of the Albert Schweitzer Hospital. Both studies included children from Lambaréné and its vicinity. Informed consent was obtained from parents or legal representative for each subject prior to enrolment. Children with acute febrile disease were physically examined; a thick blood film was screened for malaria parasites and a finger-prick blood sample for filter paper blood spotting (FTA Classic Card, Whatman Inc., Sanford, ME, USA) was obtained. The filter paper blood spots were air dried and stored at 4°C in individual plastic bags with desiccant and genotyping analysis later performed at the London School of Hygiene and Tropical Medicine (London, UK).

SP treatment in vivo study-specific procedures

The target sample size of 139 children was determined from a therapeutic efficacy between 70 and 95%, with a precision of 7.5% allowing for a 20% drop-out. The study end points were adequate clinical and parasitological response, late clinical failure, late parasitological failure and early treatment failure as defined by the World Health Organization [23]. These were calculated in the per-protocol population, while safety and tolerance were evaluated in the intention-to-treat population, all children who received single-dose SP. Study physicians examined all eligible children at enrolment, recording blood pressure, pulse and axillary temperature. Laboratory data recorded were parasite density of asexual and sexual forms of malaria, haemoglobin, haematocrit, white blood cell count, thrombocyte count (ABX Pentra 60®, ABX Diagnostics, Montpellier, France), creatinine and alanine- aminotransferase (ABX Mira Plus®, ABX Diagnostics). A single dose of SP (25 mg/kg and 1.25 mg/kg; Maneesh Pharmaceuticals PVT Ltd, Govandi Mumbai, India) was crushed and mixed with glucose solution and administered orally by a study clinician. A patient was withdrawn from the trial if a re-dose was vomited and the outcome was early treatment failure, late clinical failure or late parasitological failure according to WHO definitions [23]. These patients were subsequently treated with oral artemether-lumefantrine (COARTEM®, Novartis Pharma Ltd Beijing for Novartis Pharma AG, Basle Switzerland) or hospitalized, if oral treatment was not tolerated. Scheduled follow up visits of all study subjects were on days 1, 2, 3, 7, 14, 21 and 28 after oral administration of SP (day 0).

DNA extraction and PCR amplification of dhfr and dhps genes

DNA was extracted from bloodspots dried on filter papers by soaking overnight in 1 mL of 0.5% saponin-1x phosphate buffered saline. The segment was then washed twice in 1 mL of PBS and boiled for 8 min in 100 μL PCR quality water with 50 μL 20% Chelex suspension (pH 9.5). Dhfr and dhps were PCR amplified using a nested PCR. The outer and nested dhfr/dhps PCR conditions, including primer sequences and reaction parameters, were as previously described [24]. The nested PCR products were confirmed by electrophoresis on a 1% agarose gel along with a set of controls.

Molecular genotyping of point mutations using SSOP

Point mutations at codons 51, 59, 108 and 164 of the dhfr gene and codons 436, 437, 540, 581, and 613 of the dhps gene were genotyped using the Sequence Specific Oligonucleotide Probes (SSOP), a dot-blot methodology previously described by Pearce and colleagues [24]. The probed blots were visualized through alkaline phosphatase-catalyzed breakdown of the fluorogenic substrate (ECF) (GE Healthcare, Buckinghamshire, UK) and the chemifluorescent signal scanned on a TYPHOON Trio® Phosphoimager (GE Healthcare, Buckinghamshire, UK). The stringency and specificity of the hybridization process was confirmed by inspection of a series of four controls of known single genotype variant sequence. All blots with non-specifically bound probes were stripped and re-probed. A sequence variant was considered to be present in the PCR product when the intensity of signal was higher than that of the background. The presence, absence, and relative abundance of hybridization signal were recorded for every probe at each locus. Blood samples were categorized as having a single, a majority plus a minority, or a mixture of sequences at every locus. A sample was considered to have a single haplotype when only one sequence variant was found at each locus. Majority and mixed genotype infections were differentiated according to the relative intensity of signal.

Molecular treatment outcome measures

Each P. falciparum infection was characterized on the basis of the MSP-2 polymorphism [25]. Allele-specific PCR to amplify FC27 or IC1/3D7 fragments was performed on paired pre- and post-treatment bloodspot samples. Cases in which pre- and post-treatment genotypes were identical were considered as recrudescence, i.e. failures; cases in which pre- and post-treatment genotypes were different were considered as re-infections; mixed genotypes were classified as failures. Parasite clearance time was defined as the time from starting SP treatment until parasites were undetectable in two consecutive peripheral blood films at least 24 hrs apart. An experienced laboratory technician measured asexual parasitaemia per μL according to the Lambaréné method [26]. The presence of single or multiple dhfr or dhps mutations from samples collected prior to treatment with SP were examined for their association with patients' treatment outcome. Each isolate was coded based on the presence or absence of a resistance associated allele. For example, infections with mixed wild-type/mutant alleles were treated as mutant. Transmission potential was evaluated by measuring gametocytaemia on enrolment and at scheduled visits following the same technique used for asexual parasitaemia.

Statistical methods

The study analysis consisted on calculating the proportion of malaria infections with mutations of interest present in samples from the IPTi plus those present at the time of enrolment in the SP in vivo study and estimated 95 percent binomial confidence intervals for prevalence of mutations in the study area. For the SP treatment in vivo study, data were entered into an electronic database and validated by complete manual review. Statistical analysis was performed using Stata (Stat Corp., College Station, TX, USA) statistical software. Fever clearance time was calculated as the time from the start of treatment to the first of two consecutive axillary temperature measurements that recorded below 37.5°C and parasite elimination time as the time from the start of treatment to that of two consecutive negative blood smears.

Results

SP in vivo treatment response

Of the 29 patients who received a standard oral dose of SP in the study assessing the in vivo efficacy of SP, 18 (62.1%) completed the 28-day active follow-up, before the trial was stopped for safety concerns. The targeted sample size was not attained because after 29 subjects were enrolled, a decision to stop the trial was taken by the investigators because of concerns about the early treatment failure. Figure 1 provides the study flow, and Table 1 provides baseline characteristics of patients and details on day 28 cure rates. Clinically, 14 subjects developed treatment failure, with one early and 13 late treatment failures. Three patients were excluded from per protocol analysis, because of mixed infections with other Plasmodium species (n = 2), and parents withdrawal of a consent for one child at the follow-up visit day 28. Matched sample pairs collected before and after treatment from 26 subjects were analyzed at the msp-2 locus. Overall, 12 subjects (46%) had an adequate clinical and parasitological response, including two subjects with parasites on day 28 post-treatment which were new infections, while 14 (54%) carrying parasites in the post-treatment sample probably failed SP treatment.
Figure 1

Study flow chart.

Table 1

Baseline Characteristics and results of the SP efficacy study

Number of patients29
Age, mean (SD), months34.8 (16.6)

Sex ratio (male/female)1.9 (19/10)

Weight, mean (SD), kg13.0 (2.5)

Axillary temperature at admission, mean (SD), °C37.1 (0.95)

Parasitaemia at admission, median (quartiles)18,718 (2,800-33,300)

Day 28 PCR adjusted cure in PP analysis, n (%) Day 28 unadjusted cure in PP analysis, n (%)12/26 (46) 10/26 (38.5)

Early treatment failures, n (%)1 (4)

Late parasitological failures, n (%)13 (50)

Parasite clearance time, mean (95%CI), hours61 (45-76)

Fever clearance time, mean (95%CI), hours22 (14-30)

Gametocyte carrier rate at admission, n (%)2 (6)

Gametocytes carrier rate during follow-up, n (%)22 (85)

SD: Standard Deviation, PCR: Polymerase Chain Reaction, CI: Confidence Interval, n: number of patients.

Study flow chart. Baseline Characteristics and results of the SP efficacy study SD: Standard Deviation, PCR: Polymerase Chain Reaction, CI: Confidence Interval, n: number of patients. Mean fever clearance time was 22 hours, parasite elimination time was 61 hours and the gametocytes carriage rate was 85%. On enrolment (D0) the mean haemoglobin was 9.4 g/dL; 45% of the subjects (13/29) had a haemoglobin less than 9.0 g/dL - a mean change in hemoglobin between D0 to D28 of 1.5 g/dL (CI; 1 - 2.1, p < 0.0001). Oral SP was well tolerated by all 29 subjects. There were 26 adverse events reported during the course of this study; worm infestation (n = 9), respiratory infection (n = 8), anaemia (n = 4), skin infections (n = 4) and diarrhoea (n = 1). There was no serious adverse event observed during this trial except the hospitalization (per protocol) of one patient who had an early treatment failure.

Prevalence of dhfr and dhps point mutations

Of the total 155 falciparum-positive samples collected in Lambaréné from 2005 to 2007 and sent for analysis, 106 yielded PCR products for dhfr and 121 for dhps. Among these, 5% were infections with mixed strains at dhfr and 26% were mixed at dhps. The high number of mixed infections was a reflection of the high level of transmission in the area. Three point mutations were found in dhfr; 51I, 59R and 108N, while 164L and 108Thr were absent. A high proportion of infections (98/106; 92%) were found to have the triple mutant dhfr 51I-59R-108N, while the sensitive wild-type was absent. The single mutant 59R (NRS) was present only in one sample (1%) (Table 2). Three point mutations were found in dhps; 436A, 437G and 540E, while 581G and 613T were absent. The prevalence of dhps single mutant haplotypes containing 436A alone, 18/121 (15%) or 437G alone, 60/121 (50%) were higher than double mutant haplotypes dhps 436A + 437G, 6/121 (5%) and 437G + 540E, 4/121 (3%) (Table 2). The dhps wildtype haplotype (SAK) was found in 2/121 (2%) of infections.
Table 2

Prevalence of dhfr and dhps haplotypes in isolates from Plasmodium falciparum positive patients from Lambaréné, Gabon, 2005-2007

dhfrN = 106%
Single mutant11

Double mutant22

Triple mutant9892

MIX55

dhpsN = 121%

Sensitive22

Single mutant (436A only)1815

Single mutant (437G only)6050

Double mutant (436A + 437G)65

Double mutant (437G + 540E)43

MIX3126

MIX: infections with mixed strains

Prevalence of dhfr and dhps haplotypes in isolates from Plasmodium falciparum positive patients from Lambaréné, Gabon, 2005-2007 MIX: infections with mixed strains The combined dhfr and dhps haplotypes were available for 102 samples. The triple mutant dhfr 51I-59R-108N was found in combination with dhps 437G in 44 isolates (43%). Of these, just 4 (4%) carried the 'quintuple' genotype (dhfr 51I-59R-108N + dhps 437G + 540E), which is predictive of SP treatment failure. The combined sensitive alleles for dhfr and dhps were not observed in any of the isolates. Therefore, dhfr/dhps combined individual infections according to the number of mutations at dhfr and dhps codons were categorized as M3, M4, and M5 (Table 3).
Table 3

Combined dhfr and dhps haplotypes

Combined dhfr and dhps haplotypesN = 102%
dhfr_51I-59C-108N + dhps_436A-437A-540KICN + AAK =M322

dhfr_51I-59R-108N + dhps_436S-437A-540KIRN + SAK =M322

dhfr_51I-59R-108N + dhps_436A-437A-540KIRN + AAK =M41616

dhfr_51I-59R-108N + dhps_436S-437G-540KIRN + SGK =M44443

dhfr_51I-59R-108N + dhps_436A-437G-540KIRN + AGK =M544

dhfr_51I-59R-108N + dhps_436S-437G-540EIRN + SGE =M544

dhfr_51I-59R-108N + dhps_MIXMIX2424

dhfr_51N-59R-108S + dhps_MIXMIX11

dhfr_MIX + dhps_436S-437G-540KMIX11

dhfr_MIX + dhps_MIXMIX44
Combined dhfr and dhps haplotypes Of the 29 pre-treatment isolates, the analysis of the dhfr product at each of the codons found with point mutations - 51, 59 and 108 - showed that most of the infections were from mutant strains, as depicted in Table 4. Interestingly, all the positive samples at post-treatment carried the point mutations 51I (8/26), 59R (12/26), and 108N (10/26) (Table 4).
Table 4

Prevalence of dhfr gene mutations at enrolment and at day of failure in children included in the in vivo study

DHFR
Pre-treatmentN = 29

Codon5159108164

SensitiveNCSI

1 (3%)2 (7%)028 (97%)

MutantIRNL

23 (79%)26 (90%)26 (90%)0

No PCR product5131

Post-treatmentN = 26

Codon5159108164

SensitiveNCSI

00012 (46%)

MutantIRNL

8 (31%)12 (46%)10 (38%)0

No PCR product18141614
Prevalence of dhfr gene mutations at enrolment and at day of failure in children included in the in vivo study Regarding dhps, an analysis specific to the combined codons 436/437 showed prior to treatment that the 436/437SG was the most frequent haplotype either in mono- or mixed infections and also post-treatment (Table 5).
Table 5

Prevalence of dhps gene mutations at enrolment and at day of failure in children included in the in vivo study

DHPS
Pre-treatment

436/437 SA436/437 SG436/437 AA436/437 AGN = 29%

01001138

100013

110013

010127

001027

0110724

101013

0111414

Post-treatment

436/437 SA436/437 SG436/437 AA436/437 AGN = 26%

00001142

01001038

110014

000114

001028

011014

SA: sensitive, wild-type; SG: single mutant 437G; AA: single mutant 436A; double mutant 436A + 437G

Prevalence of dhps gene mutations at enrolment and at day of failure in children included in the in vivo study SA: sensitive, wild-type; SG: single mutant 437G; AA: single mutant 436A; double mutant 436A + 437G

Mutations and parasite clearance time

The cumulative parasite clearance time distribution for the 29 study subjects was as follows: 17% (5/29), 57% (13/23) and 60% (6/10) cleared parasites by days 1, 2 and 3, respectively. Subjects with a parasite clearance time longer than 3 days (n = 4), included two children with treatment failure and two children with adequate responses. Two subjects (8%) did not clear parasites until the visit after day 7 of treatment and were considered as late parasitological failure. The proportion of subjects who by Day 3 after treatment have not cleared parasites (~40%) was relatively high and certainly associated with the mere presence of the dhfr triple mutant, as the risk estimate did not increase when comparing dhfr triple mutant alone and combined with dhps single and double mutants, odds ratio (OR) (95% CI) for parasite clearance time longer than 3 days of 1.9 (0.1 - 52.8) and 1.3 (0.03 - 53.6), respectively.

Mutations and treatment outcome

Drug and iron plasma concentrations, or biostatistics information like age and sex were not taken into account, as any influence on treatment response has not been reported previously [27]. The very small number of patients does not allow for strong conclusions; however, the high rates of SP treatment failure in this study obviously correlate with the high rates of dhfr triple mutant isolates, and with the emergence of dhps 540E under treatment. The addition of dhps mutations had not increased this risk, as OR (95% CI) for dhfr/dhps combined were 6.3 (0.2 - 180.4) and 3.0 (0.1 - 115.4), respectively, for M4 and M5. Peak gametocytaemia occurred 7 days after treatment, when 17 (50%) subjects had detectable gametocytes, up from 2 (6%) at baseline. Dhps haplotypes were not associated with gametocyte prevalence or density at any time.

Discussion

These findings show a high prevalence (98/106; 92%) of parasites with triple mutant 51I-59R-108N dhfr haplotype in the study area. Previous studies in Gabon point to an increase in the prevalence of resistant dhfr in recent years. Fifty percent prevalence of 108N was found in Lambaréné in 1996 [28], and 90% was reported from Franceville in 1998 [29]. A later study conducted in Bakoumba in 2000 [30] reported a prevalence rate of 72% of triple-mutant dhfr. Consistent with those earlier studies no mutation at dhfr codons 164 (Leu-164) was found in the study reported here; neither Thr-108, which is associated with cycloguanil resistance [28-30]. In the in vivo study assessing the SP efficacy, the results show an unacceptable PCR-corrected failure rate of 54%. In earlier studies assessing the in vivo efficacy of SP in Gabon from 1995 - 2006 cure rates were higher, ranging from 69% to 95% [10,27-34]. Similarly, in vitro studies also showed an increasing rate of resistance, from 30% in 1992 [35] to 75% in 2000 [30], which seems to correlate with the increase of the dhfr-resistant genotypes as well. At the dhps codons, the most frequent haplotypes were single mutant dhps haplotypes 436A and 437G (Table 2). The prevalence of 437G overall was 58% (Table 2), which compares to 28% (10 of 36) in Lambaréné in 1996 [28], 37% (14 of 38) in Franceville in 1998, [29] and 63% (70 of 110) in Bakoumba in 2000 [30]. Because the clinical trial had to be terminated prematurely on the grounds of unexpected high therapeutic failure rates, it was underpowered to show a statistical correlation between the presence of dhfr or dhps mutation and SP efficacy. The finding of high prevalence of dhfr triple mutant and dhps 437G mutations, coincidental with high rates of failures point to deterioration of SP treatment efficacy in Gabon. These findings suggest that in Gabon, the prevalence of the dhfr triple mutation and dhps 437G and 540E could be used as tool to screen for and monitor SP resistance. Although factors associated with treatment success such as drug absorption, immunity and folate levels [36,37] as well as parasite density [38] would increase the precision predicting resistance; in practice, molecular markers need to be simple and easy to apply. Another important factor associated with treatment success is drug quality, whether or not good manufacturing practice standards have been followed. However, treatment efficacy assessment and molecular markers appear to be of limited use when it comes to assessing the usefulness and appropriateness of IPT-SP. Indeed, when used for malaria prevention, SP appears in some settings to function despite high rates of resistant haplotypes and reduced efficacy in treatment of symptomatic malaria. Gametocyte carriage is known to be elevated following SP failure [39], dhfr mutants were associated with increased gametocytaemia despite a high therapeutic efficacy of SP in Colombia [40]. Gametocyte carriage one week following treatment was increased in our study, contemporaneous with the high frequency of dhfr triple mutant parasites. These findings lead to the assumption that dhfr mutations might influence gametocyte prevalence.

Conclusions

These results show the high prevalence of dhfr triple mutant and some dhps point mutations in Gabon, which could explain the longer parasite clearance time, increased SP treatment failure rates and the high rate of gametocyte carriers after SP treatment. This paper supports the appropriateness of discouraging the use of SP for the treatment of malaria in sub-Saharan Africa as reflected in current guidelines with a shift towards artemisinin-based combination therapy; hence, SP drug pressure is likely to decrease soon, which may limit the spread of SP-resistant parasites and therefore permit SP to continue to be used for IPT in pregnant women and infants whenever applicable. What are the implications for IPTi-SP as a possible tool for malaria control in the Gabonese setting? The original IPTi trial in Gabon [21] yielded reductions in malaria episodes and anemia in the same order of magnitude as others [14], yet did not reach statistical significance due to a variety of reasons, including a pronounced Healthy Cohort Effect. The current World Health Organization guideline on IPTi with SP in children [15] recommends a ≥ 50% cut-off of dhps 540E as benchmark for discouraging IPTi-SP use. In the particular setting of the study, the results show for the first time isolates carrying this polymorphism in a small sample size, and in correlation with significant treatment failure. In summary, molecular markers of SP resistance and particularly dhfr triple mutants and dhps 540E need to be closely monitored in Gabon. Although the dhps 540E benchmark of 50% has not been formally reached in this study, Gabon is at present most likely to be considered as one of those countries falling below the threshold in the decision-making for IPTi-SP introduction.

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

GMN, SO, CR, PGK and MPG conceived the paper and designed the studies reported. GMN performed the molecular analyses. RO, JFJK and CR contributed to the molecular data analysis. SO, JJG, KCG, KP, BG, FK, BL, SI, MPG contributed to the clinical field work. GMN, SO and MPG drafted the paper. All authors have contributed to the writing, and approved of the final version of the paper.
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Journal:  Malar J       Date:  2011-10-17       Impact factor: 2.979

4.  A thirteen-year analysis of Plasmodium falciparum populations reveals high conservation of the mutant pfcrt haplotype despite the withdrawal of chloroquine from national treatment guidelines in Gabon.

Authors:  Matthias Frank; Nicola Lehners; Pembe I Mayengue; Julian Gabor; Matthias Dal-Bianco; David U Kombila; Ghyslain Mombo Ngoma; Christian Supan; Bertrand Lell; Francine Ntoumi; Martin P Grobusch; Klaus Dietz; Peter G Kremsner
Journal:  Malar J       Date:  2011-10-17       Impact factor: 2.979

5.  Prospective evaluation of artemether-lumefantrine for the treatment of non-falciparum and mixed-species malaria in Gabon.

Authors:  Ghyslain Mombo-Ngoma; Christian Kleine; Arti Basra; Heike Würbel; Daisy A Diop; Mesküre Capan; Ayola A Adegnika; Florian Kurth; Benjamin Mordmüller; Fanny Joanny; Peter G Kremsner; Michael Ramharter; Sabine Bélard
Journal:  Malar J       Date:  2012-07-10       Impact factor: 2.979

6.  RDTs as a source of DNA to study Plasmodium falciparum drug resistance in isolates from Senegal and the Comoros Islands.

Authors:  Nasserdine Papa Mze; Yaye Die Ndiaye; Cyrille K Diedhiou; Silai Rahamatou; Baba Dieye; Rachel F Daniels; Elizabeth J Hamilton; Mouhamadou Diallo; Amy K Bei; Dyann F Wirth; Souleymane Mboup; Sarah K Volkman; Ambroise D Ahouidi; Daouda Ndiaye
Journal:  Malar J       Date:  2015-09-29       Impact factor: 2.979

7.  Polymorphism in dhfr/dhps genes, parasite density and ex vivo response to pyrimethamine in Plasmodium falciparum malaria parasites in Thies, Senegal.

Authors:  Daouda Ndiaye; Baba Dieye; Yaye D Ndiaye; Daria Van Tyne; Rachel Daniels; Amy K Bei; Aminata Mbaye; Clarissa Valim; Amanda Lukens; Souleymane Mboup; Omar Ndir; Dyann F Wirth; Sarah Volkman
Journal:  Int J Parasitol Drugs Drug Resist       Date:  2013-08-12       Impact factor: 4.077

8.  No evidence of decline in malaria burden from 2006 to 2013 in a rural Province of Gabon: implications for public health policy.

Authors:  Vanessa Assele; Gildas Ella Ndoh; Dieudonné Nkoghe; Thierry Fandeur
Journal:  BMC Public Health       Date:  2015-02-04       Impact factor: 3.295

9.  Declining efficacy of artesunate plus sulphadoxine-pyrimethamine in northeastern India.

Authors:  Neelima Mishra; Kamlesh Kaitholia; Bina Srivastava; Naman K Shah; Jai Prakash Narayan; Vas Dev; Sobhan Phookan; Anupkumar R Anvikar; Roma Rana; Ram Suresh Bharti; Gagan Singh Sonal; Akshay Chand Dhariwal; Neena Valecha
Journal:  Malar J       Date:  2014-07-22       Impact factor: 2.979

10.  Increased Prevalence of Mutant Allele Pfdhps 437G and Pfdhfr Triple Mutation in Plasmodium falciparum Isolates from a Rural Area of Gabon, Three Years after the Change of Malaria Treatment Policy.

Authors:  Jacques-Mari Ndong Ngomo; Denise Patricia Mawili-Mboumba; Noé Patrick M'Bondoukwe; Rosalie Nikiéma Ndong Ella; Marielle Karine Bouyou Akotet
Journal:  Malar Res Treat       Date:  2016-04-17
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