Abstract
Resistance to the amino alcohol quinine has been associated with polymorphisms in pfnhe, a sodium hydrogen exchanger. We investigated the role of this gene in quinine resistance in vitro in isolates from Kenya. We analyzed pfnhe whole-gene polymorphisms, using capillary sequencing, and pfcrt at codon 76 (pfcrt-76) and pfmdr1 at codon 86 (pfmdr1-86), using PCR-enzyme restriction methodology, in 29 isolates from Kilifi, Kenya, for association with the in vitro activities of quinine and 2 amino alcohols, mefloquine and halofantrine. In vitro activity was assessed as the drug concentration that inhibits 50% of parasite growth (IC50). The median IC50s of quinine, halofantrine, and mefloquine were 92, 22, and 18 nM, respectively. The presence of 2 DNNND repeats in microsatellite ms4760 of pfnhe was associated with reduced susceptibility to quinine (60 versus 227 nM for 1 and 2 repeats, respectively; P < 0.05), while 3 repeats were associated with restoration of susceptibility. The decrease in susceptibility conferred by the 2 DNNND repeats was more pronounced in parasites harboring the pfmdr1-86 mutation. No association was found between susceptibility to quinine and the pfcrt-76 mutation or between susceptibility to mefloquine or halofantrine and the pfnhe gene and the pfcrt-76 and pfmdr1-86 mutations. Using previously published data on the in vitro activities of chloroquine, lumefantrine, piperaquine, and dihydroartemisinin, we investigated the association of their activities with pfnhe polymorphism. With the exception of a modulation of the activity of lumefantrine by a mutation at position 1437, pfnhe did not modulate their activities. Two DNNND repeats combined with the pfmdr1-86 mutation could be used as an indicator of reduced susceptibility to quinine.
The amino alcohol quinine (QN) remains one of the important drugs against malaria. It is the drug of choice for the treatment of severe malaria, and in most African countries, including Kenya, where artemisinin-based combinations (lumefantrine-artemether, amodiaquine-artesunate) are now first-line treatments, 7-day quinine monotherapy has become the second-line treatment for uncomplicated malaria (44). However, there is evidence of selection and spread of QN-resistant parasites or those with reduced susceptibility to QN (1-3, 8, 30, 34). This observation led to the investigation of artesunate (an artemisinin derivative) as an alternative to QN for the treatment of severe malaria (14). However, this option could now be compromised by the emergence of artemisinin resistance (9).
Several studies have been dedicated to understanding the mechanisms of quinine resistance. Polymorphisms in pfmdr, a gene associated with chloroquine (CQ) resistance, modulate QN susceptibility (27, 33, 36). A mutation of the CQ resistance gene pfcrt at codon 76 (pfcrt-76) has been associated with reduced susceptibility to QN in vitro, although transfection studies have shown conflicting results (16, 37). A seminal study on the association of polymorphisms in pfnhe, a sodium hydrogen exchanger gene, and the in vitro activity of QN indicated that an increase in the number of DNNND repeats (1-5) in an ms4760 microsatellite was associated with reduced susceptibility to QN (10), and this finding was confirmed recently (13). Variations in the copy number of this repeat in isolates from areas where QN efficacy is known to be reduced in vivo have also been reported (41).
The initial discovery that the microsatellite ms4760 region was associated with modulation of QN activity was based on the sequencing of the pfnhe gene of reference strains (71 in total) from several areas where malaria is endemic, including Kenya (10). However, the number of strains from each site of malaria endemicity was relatively small; for instance, only 3 strains from Kenya were analyzed. Subsequent investigations on the role of this gene in QN resistance focused on analysis of only the ms4760 region (13, 41), and additional genetic variations of Plasmodium falciparum in local populations may have been overlooked.
With this in mind, we sequenced the whole pfnhe gene of 29 isolates from Kilifi, on the Kenyan coast, and analyzed this gene polymorphism in association with QN activity in vitro, along with the activities of the amino alcohols mefloquine (MFQ) and halofantrine (HLF). Isolates we analyzed in the current study were used in a previous study to investigate polymorphisms of pfcrt at pfcrt-76 and pfmdr1 at codon 86 (pfmdr1-86) for associations with the in vitro activities of CQ, the amino alcohol lumefantrine (LM), and the drugs piperaquine (PQ) and dihydroartemisinin (DHA) (19). We included part of these data to establish the impact of pfnhe polymorphism on the in vitro activities of the aforementioned drugs and the roles of the pfcrt-76 and pfmdr1-86 genotypes on QN activity in vitro.
MATERIALS AND METHODS
CQ was purchased from Sigma Chemical Company (Poole, Dorset, United Kingdom). QN, MFQ, and HAL were gifts from Steve Ward, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Parasite adaptation.
P. falciparum parasites were collected from malaria patients as parts of several clinical studies that took place between 2005 and 2008 in the Kilifi district of Kenya, and the in vitro adaptation of parasites was carried out as reported elsewhere (35). Provision of informed consent for the original studies was assured by the Kenya Medical Research Institute, Nairobi.
Chemosensitivity testing.
We employed the P. falciparum drug-sensitive reference laboratory strain 3D7. Routine cultures were carried out in RPMI 1640 medium (Gibco BRL, United Kingdom) supplemented with 15% (vol/vol) normal human serum, 25 mM bicarbonate, 2 mM glutamine, 25 mM HEPES buffer, and 3.6 nM para-aminobenzoic acid.
The culture was diluted to 0.5% parasitemia and a final hematocrit of 1.5%, and 200 μl of this culture medium was added to each well of a 96-well microtiter plate containing the various drug concentrations and incubated at 37°C in a gas mixture containing 90% N2, 5% CO2, and 5% O2 for 48 h. Thereafter, 25 μl of 0.5 μCi [3H]hypoxanthine was added, and the mixture was incubated for another 18 h. The culture was then harvested, using a Tomtec Harvester (Tomtec, Hamden, CT), transferred to fiberglass paper (Wallac, Turku, Finland), and air dried. This dry fiberglass paper was wrapped in a sealing paper with scintillation fluid (Perkin Elmer, Norwalk, CT), and the amount of ionizing radiation was determined using a Wallac 1450 MicroBeta counter, (Wallac, Turku, Finland). Results were expressed as the drug concentration required for 50% inhibition of [3H]hypoxanthine incorporation into parasite nucleic acid or the concentration that inhibited 50% of parasite growth (IC50), determined by using nonlinear-regression analysis of the dose-response curve (39).
DNA preparation and sequencing.
Parasite DNA was extracted from field isolates adapted in vitro, using a QIAamp DNA blood minikit (Qiagen, United Kingdom). pfnhe (PF13_0019; PlasmoDB [http://www.plasmodb.org/]) was amplified from 30 parasites, using the primers PFNHE1aF (5′-TGTAGCAACACTCAGCTCAG-3′) and PFNHE14bR (5′-ACATATCGGTCCCTATTTTG-3′) to generate the PCR product by using a high-fidelity PCR enzyme (Roche Diagnostics GmbH, Roche Applied Science, Mannheim, Germany) under the following amplification conditions: 10 cycles of denaturation at 94°C for 2 min, denaturation at 94°C for 15 sec, annealing at 55.8°C for 30 sec, extension at 68°C for 4 min and a further 25 cycles of denaturation at 94°C for 15 sec, annealing at 55.8°C for 30 sec, extension at 68°C for 4 min, and a final extension at 72°C for 7 min. PCR products were purified with a QIAquick PCR purification kit (Qiagen, United Kingdom) and sequenced, using the amplification primers and several internal-sequencing primers, a BigDye Terminator version 3.1 cycle sequencing kit (Applied Biosystems, United Kingdom), and an ABI 3130xl capillary sequencer (Applied Biosystems, United Kingdom). Sequences were assembled and edited, using SeqMan, and aligned, using MegAlign (DNAStar Lasergene 7; Madison, WI) and BioEdit version 7.0.9 to identify single-nucleotide polymorphisms (SNPs) and repeat regions in the gene.
Statistical analysis.
All statistical analyses were performed with Stata 11 software (StataCorp LP, College Station, TX). We reported IC50s as median values. The nonparametric Kruskal-Wallis test was used to compare differences in IC50s for different molecular markers (microsatellite variations, codon polymorphisms, and pfcrt/pfmdr-1 genotypes) and antimalarial responses. Statistical significance was defined at the 5% level (P <0.05).
RESULTS AND DISCUSSION
We analyzed the in vitro activities of 29 field isolates against the amino alcohols QN, MFQ, and HLF (Fig. 1). QN, MFQ, and HLF median IC50s were 92 nM with a 95% confidence interval (CI) of 55 to 216 nM, 22 nM with a 95% CI of 18 to 37 nM, and 18 nM with a 95% CI of 10 to 34 nM, respectively. To date, the QN resistance cutoff point has not been defined. Parasites for which the QN IC50 was >800 nM have been proposed to be resistant; however, lower IC50 values (>500 nM) have been suggested as well (26, 40). Based on the lower threshold, all but 2 of our isolates are sensitive in vitro, and based on the high cutoff point, none of the tested isolates is QN resistant; thus, QN is active against isolates from this part of Kenya. Interestingly, studies carried out almost 20 years ago in the coastal region of Kenya (including our study site, Kilifi) showed a similar QN activity range against field isolates, with IC50s of <500 nM (12, 25, 43). Our data are in line with reports from another part of Kenya (Western region) and other African countries (4, 20, 22, 28, 32, 40), although QN-resistant parasites in vitro have also been reported in Africa (6, 15, 18, 26). In vivo, QN is used every 8 h for 7 days, and lack of compliance with this regimen is common (11). Several reports point to a decrease in QN efficacy (1, 3, 17, 24, 30, 31, 34); however, most of these results are based on effectiveness studies. Thus, the observed reduced efficacy could be associated with lack of compliance. In the absence of clear resistance in vivo, it is difficult to define a cutoff point.
To establish the role of pfnhe in QN susceptibility, we sequenced the whole pfnhe gene from 30 parasites, including the gene of the reference strain 3D7 (GenBank accession numbers HM210746 to HM210771). Information on the gene's structure and polymorphism is summarized in Table 1 and Fig. 2. We identified SNPs (nonsynonymous) at codons 834, (AAT to AAA), 950 (GGG to GTG), and 1437 (TAT to TTT) (Table 1). The first 2 SNPs, at codons 834 and 950, were reported previously (10).
TABLE 1.
Isolate | IC50 (nM) | Codon polymorphisms |
Microsatellite polymorphisms |
|||||
---|---|---|---|---|---|---|---|---|
894 | 950 | 1437 | No. of SDNN repeats | msR1 | ms3580 | ms4760 | ||
3D7 | 27.1 | AAT | GTG | TAT | 4 | Absent | NIH | ms4760-2 |
AK127 | 569.5 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK182 | 549.2 | AAT | GGG | TTT | 2 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK227 | 495.3 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
CDA-1553 | 333.3 | AAT | GGG | TTT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK150 D-0 | 296.6 | AAT | GGG | TAT | 3 | Absent | NIH | ms4760-1 |
AK249 | 270.4 | AAT | GTG | TAT | 3 | Absent | NIH | ms4760-1 |
AK121 | 270.2 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-21 |
AK158 | 234.0 | AAT | GGG | TAT | 2 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK167 | 227.0 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK222 | 210.5 | AAT | GGG | TAT | 2 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK152 D-56 | 207.7 | AAA | GTG | TAT | 2 | Absent | NIH | ms4760-6 |
AK062 | 181.5 | AAT | GTG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
AK144 | 145.8 | AAT | GTG | TTT | 4 | Absent | NIH | ms4760-23 |
AK018 | 141.1 | AAT | GGG | TTT | 2 | Absent | NIH | ms4760-20 |
AK150 D-42 | 91.6 | AAT | GGG | TAT | 2 | Absent | NIH | ms4760-1 |
9067 | 80.1 | AAT | GTG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-3 |
8885 | 78.2 | AAT | GGG | TAT | 3 | Absent | NIH | ms4760-22 |
AK183 | 73.9 | AAT | GGG | TTT | 4 | TCDNNMPNNNMSNNN | Absent | ms4760-20 |
6816 | 73.3 | AAT | GGG | TAT | 1 | TCDNNMPNNNMSNNN | NIH | ms4760-18 |
8966 | 55.8 | AAT | GTG | TAT | 4 | TCDNNMPNNNMSNNN | Absent | ms4760-1 |
AK033 D-49 | 54.1 | AAT | GGG | TAT | 3 | TCDNNMPNNNMSNNN | NIH | ms4760-7 |
AK022D-0 | 42.4 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-22 |
9070 | 41.5 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-22 |
8977 | 35.9 | AAT | GGG | TTT | 3 | Absent | NIH | ms4760-7 |
AK033 D-0 | 32.8 | AAT | GGG | TAT | 4 | Absent | NIH | ms4760-1 |
8968 | 30.6 | AAA | GGG | TAT | 4 | Absent | NIH | ms4760-2 |
8948 | 27.8 | AAA | GGG | TAT | 4 | Absent | NIH | ms4760-7 |
AK022 D-28 | 22.0 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-1 |
8973 | 20.0 | AAT | GGG | TAT | 4 | TCDNNMPNNNMSNNN | NIH | ms4760-7 |
We identified 10 ms4760 sequences, as shown in Fig. 2. The majority of the isolates had a single repeat of microsatellites msR1 (TCDNNMPNNNMSNNN) and ms3580 (NIH), while the rest had no repeats (Table 1). Twenty percent (6 out of 29), 76% (22 out 29), and 3% (1 out 29) of isolates had 1, 2, and 3 DDNHNDNHNND repeats (in ms4760), respectively. DNNND (in ms4760) was distributed as follows: of 29 isolates, 17 and 6 isolates had 2 and 1 repeats, respectively, and the remaining 6 isolates had 3 repeats. The pfnhe genetic profile of reference strain 3D7 is identical to one described by Ferdig et al. (10), and overall, the distribution of microsatellites in our field isolates is in line with that of previous reports (10, 13). Interestingly, however, we found repeat variations in the microsatellite SDNN, with the number of repeats changing from 1 to 4 and the majority of isolates (more than 52%) harboring 4 repeats (Table 1).
No association was found between the IC50 of QN and SNPs, the repeat number variation in msR1, ms3580, and DDNHNDHHNND (in ms4067), and the new repeat, SDNN. Parasites with 1 DNNND or DDNHNDHHNND repeat (in ms4067) were more susceptible to QN than those with >1 repeat (60 versus 182 nM and 58 versus 141 nM for DNNND and DDNHNDHHNND, respectively), but the difference was not significant. Previous work clearly indicates that the increase in DNNND repeats is associated with reduced susceptibility to QN (10, 13). However, detailed observation of our data shows that the increase in the QN IC50 is observed only for parasites with 2 DNNND repeats. Indeed, the QN IC50 rose from 60 to 227 nM for parasites harboring 1 and 2 repeats, respectively (P < 0.05), and the latter value dropped to 45 nM for parasites with 3 repeats (P < 0.01) (Fig. 3 A). To investigate this further, we reused data from the study of Ferdig et al. (10). As shown in Fig. 3B, the increase from 1 to 2 repeats was associated with decreasing susceptibility to QN (IC90s from 157 to 471 nM; P < 0.01), and the change from 2 to 3 repeats rendered parasites more susceptible (IC90s from 471 to 125 nM; P < 0.01). Thus, these data indicate that the presence of 3 repeats of DNNND restores susceptibility to QN. However, more studies are needed to confirm this observation, since a recent study shows no decrease in QN activity in parasites with 3 DNNND repeats (13).
Early reports demonstrated in vitro cross-resistance between QN and its related drugs, such as CQ, LM and MFQ, and HLF (5, 7, 38, 42), an indication that some of the mechanisms of resistance to these drugs may be common. We therefore investigated the in vitro activities of the quinoline CQ, PQ, the amino alcohol LM, MFQ, and the sesquiterpene DHA in association with pfnhe polymorphism. Detailed information on the in vitro activities of CQ, LM, PQ, and DHA in relation to polymorphisms in pfcrt-76 and pfmdr1-86 was reported elsewhere (19). We reused these data in the current study.
The median IC50s of CQ, PQ, LM, and DHA for the 29 field isolates we used were 56 nM with a 95% CI of 26 to 88 nM, 56 nM with a 95% CI of 43 to 69 nM, 58 nM with a 95% CI of 49 to 881 nM, and 1 nM with a 95% CI of 0.7 to 1 nM, respectively. Neither pfnhe SNPs nor microsatellite repeats modulated susceptibility to these 4 drugs, except that LM activity decreased from 52 to 104 nM (P < 0.005) in the presence of an SNP at position 1437 (TAT to TTT). However, more studies are needed to confirm whether pfnhe, in addition to pfcrt-76 and pfmdr1-86, contributes to a decrease in the median LM susceptibility value (19).
We also investigated the role of the pfcrt-76 and pfmdr1-86 mutations in QN resistance (pfcrt and pfmdr1 are the 2 genes associated with CQ resistance). The pfcrt-76 mutation did not affect QN activity (IC50s were 164 [n = 16] and 142 nM [n = 9] for the mutant and wild type, respectively; P > 0.05). However, a trend toward a decrease in QN activity in parasites carrying the pfmdr1-86 mutation was observed, although the difference was not significant (74 [n = 16] versus 208 nM [n = 9] for the wild type and mutant, respectively; P > 0.05). Transfection studies showed that polymorphisms in pfmdr1, mainly those at codons N1042D and D1246Y, modulate QN activity (16, 33). We limited our studies to codon 86 of pfmdr1; thus, this mutation may have been selected with those at N1042D and D1246Y, though these mutations are predominantly found in South America (8). Interestingly, the presence of wild-type pfmdr1-86 has been associated with reduced susceptibility to QN but in association with an increase in the number of pfmdr1 copies (8). However, the isolates we analyzed in the present study have 1 pfmdr1 copy (a finding from our previous work [19]); thus, pfmdr1 point mutations also modulate QN activity, as previously reported (16, 21, 33).
Our data indicate that pfcrt-76 does not affect quinine activity, which is in line with a recent report (23), although modulation of QN activity by pfcrt has been supported by transfection studies (16, 37).
We also sought to establish the contributions of pfmdr1-86 and pfcrt-76 in the context of DNNND polymorphisms in QN resistance. As shown in Fig. 4 A, parasites with 2 DNNND repeats on a background of wild-type pfmdr1-86 have QN IC50s of 92 nM, while this value rises by almost 3-fold in the pfmdr1-86 mutant parasites (QN IC50 of 249 nM). In contrast, no difference was found with regard to pfcrt-76 (211 versus 234 nM) (Fig. 4B). These data indicate that pfmdr1 is an important contributing factor in QN resistance. Thus, monitoring QN resistance should involve both the pfnhe and pfmdr1 genes.
Our isolates were sensitive to MFQ and HLF, with IC50s of <25. These drugs are not commonly used in Africa because of their relatively high cost and the reported potential side effects, mainly cardiotoxicity and neuropsychiatric complications for HLF and MFQ, respectively. pfcrt-76, pfmdr1-86, and pfnhe did not modulate their in vitro activities. In Southeast Asia, where MFQ has been used extensively, resistance has been associated with an increase in pfmdr1 copy number (29). All our isolates have 1 copy of the pfmdr1 gene (19), explaining the susceptibility of our parasites to MFQ.
In summary, the presence of 2 repeats of DNNND in ms4760 of the pfnhe and pfmdr1-86 mutants is associated with a decrease in in vitro QN susceptibility, and an increase to 3 repeats of DNNND may restore QN activity, although this observation needs to be confirmed. Thus, pfnhe and pfmdr1 could be used as markers to monitor QN resistance.
Acknowledgments
We thank the director of the Kenya Medical Research Institute for permission to publish the manuscript. We thank Kevin Marsh for helpful comments.
This study was supported by the European Developing Countries Clinical Trials Partnership (EDCTP) and Wellcome Trust grant WT077092 (to Kevin Marsh for core activity support of the KEMRI/Wellcome unit in Kenya).
The authors declare no conflict of interest.
Footnotes
Published ahead of print on 1 June 2010.
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