Skip to main content
Download PDF

Artemisinin resistance without pfkelch13 mutations in Plasmodium falciparum isolates from Cambodia

Malaria Journal volume 16, Article number: 195 (2017) Cite this article

Abstract

Background

Artemisinin resistance is associated with delayed parasite clearance half-life in vivo and correlates with ring-stage survival under dihydroartemisinin in vitro. Both phenotypes are associated with mutations in the PF3D7_1343700 pfkelch13 gene. Recent spread of artemisinin resistance and emerging piperaquine resistance in Southeast Asia show that artemisinin combination therapy, such as dihydroartemisinin–piperaquine, are losing clinical effectiveness, prompting investigation of drug resistance mechanisms and development of strategies to surmount emerging anti-malarial resistance.

Methods

Sixty-eight parasites isolates with in vivo clearance data were obtained from two Tracking Resistance to Artemisinin Collaboration study sites in Cambodia, culture-adapted, and genotyped for pfkelch13 and other mutations including pfmdr1 copy number; and the RSA0–3h survival rates and response to antimalarial drugs in vitro were measured for 36 of these isolates.

Results

Among these 36 parasites one isolate demonstrated increased ring-stage survival for a PfKelch13 mutation (D584V, RSA0–3h = 8%), previously associated with slow clearance but not yet tested in vitro. Several parasites exhibited increased ring-stage survival, yet lack pfkelch13 mutations, and one isolate showed evidence for piperaquine resistance.

Conclusions

This study of 68 culture-adapted Plasmodium falciparum clinical isolates from Cambodia with known clearance values, associated the D584V PfKelch13 mutation with increased ring-stage survival and identified parasites that lack pfkelch13 mutations yet exhibit increased ring-stage survival. These data suggest mutations other than those found in pfkelch13 may be involved in conferring artemisinin resistance in P. falciparum. Piperaquine resistance was also detected among the same Cambodian samples, consistent with reports of emerging piperaquine resistance in the field. These culture-adapted parasites permit further investigation of mechanisms of both artemisinin and piperaquine resistance and development of strategies to prevent or overcome anti-malarial resistance.

Background

Artemisinin (ART) and related compounds provide the main class of anti-malarial drugs, and ART resistance in Plasmodium falciparum is one of the greatest threats to global efforts to control, eliminate and eradicate malaria. To forestall emergence and spread of ART resistance it was recommended that ART and its derivatives be used only in combination with a partner drug as an ART combination therapy (ACT), with over 400 million ACT treatments dispensed annually. It is conservatively estimated that 116,000 additional deaths would occur annually in the event of widespread ART resistance, with annual health costs of US$32 million and productivity losses exceeding US$385 million [1]. The magnitude of the health and economic threat posed by ART resistance serves as an urgent call to action to develop strategies that circumvent its spread [2]. Doing so requires understanding the underlying mechanisms of ART resistance.

Currently, ART resistance is prevalent across the Greater Mekong Sub-region (GMS) and centered on Cambodia, where it was first detected in 2007 [3, 4]. Concern for the spread of ART resistance outside of Southeast Asia led to the Tracking Resistance to Artemisinin Collaboration (TRAC) study that assessed and tracked ART resistance across 15 sites both in Asia and Africa [5]. Using parasite clearance as a measure of resistance, the TRAC project confirmed that ART-resistant P. falciparum was established in Cambodia, Laos, Myanmar, Thailand, and Vietnam.

Artemisinin resistance is indicated by either delays in parasite clearance from patients, or by increased in vitro parasite survival under dihydroartemisinin (DHA) in ring-stage survival assay (RSA0–3h) [6]. Sequencing parasites selected under increasing ART pressure identified pfkelch13 as a critical gene for conferring ART resistance [7]. Multiple mutations have been identified in this gene, and several key single nucleotide polymorphisms (SNPs) have been validated using a gene-editing approach [8, 9]. However, the function of PfKelch13 and its role in ART resistance remain unclear.

Recent reports confirm that specific pfkelch13 mutations confer ring-stage survival [7, 8], and indicate possible mechanisms of ART resistance, including perturbation of haemoglobin processing [10,11,12], protein ubiquitination [13], increased expression of oxidative stress response [13, 14], unfolded protein response pathways [14], or phosphatidylinositide 3-kinase pathways [15]. While these results may all be relevant, a full understanding of the mechanisms involved in ART action and resistance has yet to emerge [16, 17].

One of the key partner drugs used with ART for malaria treatment in the GMS is piperaquine (PPQ), which has proved well tolerated and highly effective in areas where multi-drug-resistant P. falciparum is prevalent. However, emergence of PPQ resistance threatens to undermine this strategy in areas of increasing ART resistance [18, 19]. Currently PPQ resistance is evident by higher PPQ half maximal effective concentration (EC50) values and elevated recrudescence rates in settings where DHA–PPQ is in use and ART resistance is common [18, 19]. Reported molecular markers of PPQ resistance include SNPs in pfcrt and de-amplification of a region on chromosome 5 that includes or is proximal to pfmdr1 [20]. PPQ resistance is also associated with an amplification of plasmepsin II and III [21, 22]. Yet, to date no mechanism has been established for PPQ resistance. Increasing resistance to both ART and PPQ in the same parasite population has motivated a call for use of triple combination therapy in certain malaria-endemic settings where ACT may have reduced efficacy [18, 23]. Specifically, mefloquine (MFQ) has been suggested for combination with ART and PPQ given the inverse effects PPQ and MFQ pressure have on pfmdr1 copy number variation (CNV), as PPQ negatively selects pfmdr1 CNV, while MFQ positively selects pfmdr1 CNV [18].

As part of the TRAC collaboration, 157 cryopreserved parasites were obtained from two sites in western Cambodia with a range of in vivo clearance phenotypes. Of these parasites, 68 were culture-adapted, and a sub-set of 36 parasites evaluated for their RSA0–3h phenotype. Using a high-resolution melt (HRM) genotyping assay for the most common pfkelch13 mutation (C580Y) and Sanger sequencing, pfkelch13 propeller mutations were tested for associations with both parasite in vivo clearance half-lives and in vitro parasite RSA0–3h survival rates. The analysis (1) identified parasites lacking pfkelch13 mutations, but exhibiting increased RSA0–3h survival phenotype (referred to as discordant parasites), suggesting that loci other than pfkelch13 may be involved in ART resistance; (2) demonstrated a new association between D584V and increased ring-stage survival; and, (3) detected a PPQ-resistant isolate among these parasites, consistent with other reports from this malaria-endemic region. Although there is a strong association between pfkelch13 mutations and increased ring-stage survival, mutations in pfkelch13 are not necessary for this ART resistance phenotype. Furthermore, in vitro PPQ resistance is present among these culture-adapted Cambodian parasites, which will enable further investigation of PPQ resistance mechanisms.

Methods

These parasite samples were obtained with informed consent from patients enrolled in the TRAC study in the Pailin and Pursat sites located in Western Cambodia. Full details of this study, the approvals, and the clinical and laboratory methodologies have been reported in detail elsewhere [5].

Culture-adaptation and maintenance of TRAC parasites

All parasite samples were collected under protocols approved by ethical review boards in Cambodia, at Oxford University and at the Harvard T. H. Chan School of Public Health. Culture-adaptation of parasites was accomplished by thawing cryopreserved material containing infected red blood cells (iRBCs) that had been mixed with glycerolyte. Parasites were maintained in fresh human blood (O+) and Hepes buffered RPMI media containing 12.5% AB+ human serum (heat inactivated and pooled). Cultures were placed in modular incubators and gassed with 1% O2/5% CO2/balance N2 gas and incubated with rotation (50 rpm) in a 37 °C incubator (Additional file 1).

Sample extraction

Genetic material were extracted from filter papers (Whatman) and culture-adapted material using Promega DNA IQ Casework Pro Kit for Maxwell 16 (Promega Corp., Madison, WI, USA) and Qiagen (QIAmp DNA Blood Mini Kit) commercial kits, respectively, according to manufacturer instructions.

Genotyping

Development of a high-resolution melt (HRM) assay to screen populations for mutations around amino acid position 580 in the pfkelch13 locus. The forward primer (5′-GGCACCTTTGAATACCC-3′), reverse primer (5′-CATTAGTTCCACCAATGACA-3′), and unlabeled, blocked probe (5′-AGCTATGTGTATTGCTTTTGAT-block-3′) were amplified asymmetrically at 0.5, 0.1, and 0.4 μM, respectively with 1 ng template DNA. After an initial 2-min hold at 95 °C, 5 or 10 μL reaction mixtures with 2.5 × HRM master mix (BioFire Defense, Salt Lake City, UT. USA) were PCR amplified for 55 cycles: 95 °C for 30 s, 66 °C for 30 s, and 74 °C for 30 s, followed by a pre-melt step of 95 and 28 °C for 30 s each. Products were melted from 45 to 90 °C on a BioFire Defense LightScanner-384 or -32 and analysed using the manufacturer software. Two plasmid controls containing the wild-type and mutant alleles were included as standards for every HRM run. Molecular barcoding was performed as described [24, 25] to identify monogenomic samples with unique parasite genotypes.

Whole genome sequences

This publication uses sequencing data generated by the Pf3k project [26]. The variant call files generated from this project were used to identify SNPs in each of the samples used in this study.

Pfkelch13 PCR sequencing strategy

The propeller domain of pfkelch13 was PCR amplified using Phusion HF DNA Polymerase kit and primers 3F and 1R′ in all 68 culture adapted parasites. DNA from KH001_024 was also amplified with primers 4F and 3R′. An aliquot of PCR product was resolved by gel electrophoresis to check for specificity and yield and the remaining product was purified using DNA Clean & Concentrator, ZymoResearch and sequenced using the same primers used to amplify the product by Genewiz. The full ORF of pfkelch13 was PCR amplified using primers 1F and 1R from 3D7 and individual culture-adapted parasites. The resulting PCR product of ~2.2 kb was purified by gel extraction (QIAquick Gel Extraction Kit, Qiagen) and sequenced at Genewiz using primers 1F, 2F, 3F, 1R, 2R and 3R. Primer sequences are as follows: 1F: 5′-ATGGAAGGAGAAAAAGTAAAAACAAAAGCAAATAG-3′; 2F: 5′-GGTAGGTGATTTAAGAATTACATTTATTAATTGGT-3′; 3F: 5′-CATTCCCATTAGTATTTTGTATAGGTG-3′; 4F: 5′-GTAGAGGTGGCACCTTTGAATACCCCTAGATCATC-3′ 1R: 5′-TTATATATTTGCTATTAAAACGGAGTGACCAAATCTG-3′; 1R′: 5′-TTA TAT ATT TGC TAT TAA AAC GGA GTG-3′; 2R: 5′-AGCCTTATAATCATAGTTATTACCACCAAAAACG-3′; 3R: 5′-TGTTGGTATTCATAATTGATGGAGAATTC-3′; 3R′: 5′-ATAAAATGTGCATGAAAATAAATATTAAAG-3′.

In vitro 72-h drug susceptibility by SYBR green staining

Drug susceptibility was measured using the SYBR Green I method as previously described [27]. Briefly, tightly synchronized 0–6 h rings were grown for 72 h in the presence of different concentrations of drugs in 384-well plates at 1% haematocrit and 1% starting parasitaemia; and, growth at 72 h was measured by SYBR Green staining of parasite DNA. Except for PPQ and KH001_053 where a 24-point dilution series was used, a 12-point dilution series of each drug was carried out in triplicate and repeated with at least three biological replicates. DMSO stocks of drugs were dispensed by a HP D300 Digital Dispenser (Hewlett Packard Palo Alto, CA, USA) except for the CQ and PPQ stocks that were prepared in water and dispensed with a Velocity 11 Robot (Bravo). Relative fluorescence units (RFU) was measured at an excitation of 494 nm and emission of 530 nm on a SpectraMax M5 (Molecular Devices Sunnyvale, CA, USA) and analysed using GraphPad Prism version 5 (GraphPad Software La Jolla, CA. USA). EC50 values were determined with the curve-fitting algorithm log(inhibitor) vs response—variable slope, except for PPQ and KH001_053. Due to the bimodal dose response of KH001_053 to PPQ, curve fitting didn’t give an accurate EC50 value. The reported PPQ EC50s for KH001_053 are estimates using biphasic curve fitting. Spearman correlation analysis was performed to assess the relationship between the anti-malarial EC50 values and in vivo clearance half-life, ring survival assay value or pfmdr1 copy number. p values <0.05 were considered significant.

Copy number variation assays

To determine copy numbers for pfmdr1, plasmepsin II and the 63 kb amplicon genes (PF3D7_0520100, PF3D7_0520500, PF3D7_0520600, PF3D7_0520900 and PF3D7_0521000), real time quantitative PCR was performed on genomic DNA (extracted with QIAmp Blood Mini Kit, Qiagen) as previously described [28] with the following modifications: Amplification reactions were done in MicroAmp 384-well plates in 10 μL SYBR Green master mix (Applied Biosystems), 150 nM of each forward and reverse primer and 0.4 ng template. Forty cycles were performed in the Applied Biosystems ViiA™ 7 Real-time PCR system (Life Technologies). Forward and reverse primers used were as previously described to amplify the following loci: pfmdr1 (PF3D7_0523000) [29], the 63 kb region on chromosome 5 (PF3D7_0520100, PF3D7_0520500, PF3D7_0520600, PF3D7_0520900 and PF3D7_0521000 [20]) and plasmepsin II (PF3D7_140800) [22]. For the endogenous controls, β-tubulin forward and reverse primers [28] were used for pfmdr1, PF3D7_0520100 and PF3D7_0520900 while pfldh forward and reverse primers [30] were used for PF3D7_0520500, PF3D7_0520600 and PF3D7_0521000. Target primers used were validated to have the same PCR efficiencies as their endogenous control primers; and, average copy number values were calculated for each gene using data from three independent experiments.

Sequencing the pfcrt locus

The entire pfcrt locus was sequenced as previously described [20] with some modifications. Briefly, total RNA was extracted using RNeasy kit (Qiagen) and used to generate cDNA using Superscript III (Invitrogen). The resulting cDNA was then used as template for PCR amplification of pfcrt [20], followed by Sanger sequencing (GENEWIZ) [20]. Sequence data analysis was performed using MacVector.

Ring survival assay (RSA0–3h)

The RSA0–3h was performed as described previously [6]. Essentially, parasites were sorbitol synchronized twice at 40-h intervals, synchronous 40–44 h segmented schizonts were incubated for 15 min at 37 °C in serum-free media supplemented with heparin to disrupt agglutinated erythrocytes and late stages were purified with 35/65% discontinuous Percoll gradient. The segmented schizonts were washed and cultured with fresh RBCs for 3 h, after which late stages were removed by sorbitol treatment. Cultures with 0–3 h rings were adjusted to 2% haematocrit and 1% parasitaemia and seeded into a 24-well plate with 1 ml complete media per well. To these wells, either DHA at 700 nM or 0.1% DMSO were added immediately and incubated for 6 h at 37 °C, washed and incubated in drug free media. At 72 h from seeding, thin blood smears were made from control and treated wells and survival rates were measured microscopically by counting the proportion of next generation viable rings with normal morphology. Survival rates were expressed as ratios of viable parasitaemias in DHA-exposed and DMSO-treated controls. Parasites were counted from 10,000 RBC, and two separate individuals served as independent slide readers.

Results

Characteristics of original and culture-adapted parasite isolates

A total of 157 cryopreserved TRAC study samples collected in 2011 from Pursat or Pailin, Cambodia where ART resistance is observed were obtained. These isolates were selected before the discovery of the pfkelch13 marker and were designed to comprise western Cambodian samples, with two-thirds of the samples coming from the upper segment of the clearance half-life distribution and one-third being isolates with the shortest clearance times. 68 parasites were culture-adapted for further investigation, without knowledge of their in vivo clearance data. A summary of the overall population and the sub-set selected for culture-adaptation and further characterization is provided in Additional files 2 and 3. Collectively, 63% of both the original and the adapted parasites were from Pursat and the remaining 37% were from Pailin (Additional file 3). Similarly, 67% of both parasite sets (original and adapted) had a delayed clearance of ≥5 h and 33% had a clearance half-life of <5 h; for one isolate there were insufficient data to determine an in vivo half-life. All culture-adapted samples were confirmed to harbour monogenomic infections by molecular barcode analysis [25], only those parasites with unique barcode signatures [25] were initially pursued to maximize genetic diversity and exclude highly similar parasites among the analysed isolates.

Pfkelch13 propeller mutations are associated with parasite clearance half-life ≥5 h

Next, parasites were genotyped for the pfkelch13 locus previously associated with delayed parasite clearance (defined as >5 h) and increased ring-stage survival (defined as RSA0–3h ≥1%) [7]. An HRM genotyping assay [24, 25] for the common non-synonymous mutation conferring the C580Y change in PfKelch13 was developed and validated, among the 157 original samples with an unambiguous genotyping call, 71% (108/152) had the C580Y mutation (Additional file 2). These data, confirmed a significant positive association between the C580Y non-synonymous mutation and in vivo parasite clearance half-life values for these parasites [26]. This association was more pronounced among Pursat parasites (unpaired Student’s t test with Welch’s correction, p < 0.0001) as compared to parasites from Pailin (p = 0.0322, Additional file 4) for this sample set.

A combination of available whole genome sequence (WGS) data from the original samples [26, 31, 32], and pfkelch13-specific PCR-based sequencing identified both pfkelch13 mutations other than C580Y in this population and confirmed persistence of all pfkelch13 mutations in the culture adapted parasites further analysed. Overall there was good concordance between the molecular barcode derived from filter paper and cultured parasite samples, and between the pfkelch13 mutations identified in WGS or PCR re-sequencing data. Six different mutations were present in the pfkelch13 propeller domain: Y493H, R539T, I543T, C580Y, D584V, and H719N, and two pfkelch13 mutations outside the propeller region: H136N, E270K. The two parasites with the H136N change also contained C580Y, but E270K was seen by itself, in a single isolate (Additional file 2). All propeller domain mutations were positively associated with in vivo clearance values (Fig. 1a), including parasites with the double mutation H136N/C580Y genotype (Additional file 2). Additionally, two asparagine (Asn) insertions at codon 142 were identified in all isolates tested except those with the Y493H change and one parasite with the D584V genotype (Additional file 2). The location of this Asn insertion was distinct from that previously noted among Asian parasites [33]. No association between this Asn insertion and either parasite clearance half-life or RSA0–3h phenotype was detected.

Fig. 1
figure 1

Positive association between pfkelch13 propeller mutations and in vivo clearance half-life as well as in vitro RSA0–3h. Parasites from Pursat (round symbols) or Pailin (square symbols) were classified according to their pfkelch13 alleles. a Comparison of clearance half-live values (hours, h) from culture-adapted parasites harbouring different pfkelch13 propeller alleles, and combining alleles represented by less than five samples. Parasites outlined in bold were further tested for RSA0–3h phenotypes in b. A one-way ANOVA test, with a Tukey’s post-test, was performed between wild-type (WT) and each allele category. Significance values are indicated by asterisks: *(p < 0.05); **(p < 0.01); ***(p < 0.001); and ****(p < 0.0001). b In vitro RSA0–3h testing. Percent survival is displayed on the y-axis and pfkelch13 allele represented on the x-axis. All parasites that harbour a pfkelch13 propeller mutation exhibit an RSA0–3h value of >1% (dotted line). Data were analysed by Kruskal–Wallis test followed by Dunn’s multi-comparison test. p values: ***<0.001. An additional subset represented by coloured symbols, also underwent conventional in vitro drug testing and assessment of pfmdr1 copy number variation. These were chosen as representatives of parasites that were ART sensitive (green) or, ART resistant (red) as assessed by both RSA0–3h phenotype and pfkelch13. Two ‘discordant’ samples (resistant according to RSA but wild-type at pfkelch13) are indicated in blue

Full size image

The sub-set of 68 culture-adapted parasites harbored all mutation types observed in the 157 initial isolates except H136N, and each pfkelch13 mutation detected by WGS was confirmed by PCR re-sequencing (Additional files 2, 3). Overall, the sub-set of culture-adapted parasites showed similar distribution of pfkelch13 genotypes detected among the original 157 isolates chosen for this study. The majority of parasites in this sub-set (79% or 54/68) carried non-synonymous mutations in pfkelch13, with the most common change resulting in C580Y (53% or 36/68, Table 1). Among these culture-adapted parasites from Pailin there was a higher frequency of pfkelch13 mutations than parasites from Pursat (88 and 74%, respectively), with the C580Y mutation being the most prevalent (77 and 60%, respectively). Both geographic locations had their own private mutations not found in the other location (Additional file 2). All pfkelch13 propeller mutations displayed positive associations with in vivo clearance phenotypes (Fig. 1a).

Table 1 Summary of PfKelch13 mutations
Full size table

Pfkelch13 propeller mutations are positively associated with increased ring-stage survival by in vitro RSA0–3h

There was a positive association between increased RSA0–3h survival phenotypes and pfkelch13 mutations among 36 culture adapted parasites (Fig. 1b) and parasites with the D584V change previously associated with increased in vivo parasite clearance time [5] demonstrated an increased ring-stage survival by RSA0–3h.

In vitro RSA0–3h phenotypes were evaluated as a measure of ART resistance for 36 adapted parasites exhibiting a range of in vivo clearance phenotypes and harbouring a variety of pfkelch13 mutations. Consistent with previous reports [6], the distribution of RSA0–3h phenotypes spanned two log10 ranges for all parasites analysed. Overall, there was a significant difference between wild-type (RSA0–3h = 0.1–6.0%, n = 7) parasites and those with pfkelch13 mutations (RSA0–3h = 2.1–38.6%, n = 29) in terms of RSA0–3h parasite survival rate (Student’s t test p = 0.0018). RSA0–3h survival rates also differed between parasites with individual pfkelch13 mutations; whereby parasites with either a C580Y or R539T mutation exhibited the highest survival rates (Fig. 1b). One isolate with a PfKelch13 E270K mutation outside the propeller domain exhibited a clearance of >4 h, yet had an RSA0–3h value of 0.4%. Among the parasites with RSA0–3h values >1%, 19% (7/36) had in vivo clearance values between 4 and 5 h, which suggests that for this specific population a clearance value of 4 h or greater is more consistent with ART resistance based upon an RSA0–3h phenotype (Additional file 5).

All pfkelch13 propeller polymorphisms found among these parasites were previously identified [7, 33]. However, a novel positive association was demonstrated between the D584V mutation and in vitro ring survival values (8.0 h clearance and 8.5% RSA survival for D584V), not previously tested for in vitro ART resistance (Fig. 1b). These data confirm that all pfkelch13 propeller mutations found in these TRAC isolates are associated with an RSA0–3h phenotype ≥1%, thus considered in vitro ART resistant.

Identification of discordant parasites that exhibit increased ring-stage survival but lack Pfkelch13 mutations

ART resistance in vitro has been suggested to correlate with an RSA0–3h survival value of ≥1% [6], and all isolates in this study with a mutation in pfkelch13 had an RSA0–3h ≥1%. All wild-type pfkelch13 parasites had in vivo clearance half-lives below 5 h (Additional file 2); however, there was a range of in vitro RSA0–3h survival phenotypes from 0.1 to 6%, including four isolates with RSA0–3h of approximately ≥1% (0.8, 1.1, 3, and 6%) (Fig. 1b). Parasites with an RSA0–3h of ≥0.8% that lack pfkelch13 mutations are considered discordant. These data suggest changes outside pfkelch13 could also confer an increased ring-stage survival phenotype indicative of ART resistance in this parasite population.

Using WGS data previously generated [26] for 33 of the RSA0–3h phenotyped parasites, the question was explored whether mutations outside pfkelch13 were evident in the four parasites with RSA0–3h ≥0.8% values that lack pfkelch13 ORF mutations. This small data set was underpowered to identify novel mutations using a genome-wide strategy, but a candidate gene approach was undertaken to ask whether any known drug resistant loci or other previously identified secondary mutations could potentially explain the high RSA0–3h survival values (Additional file 6). Variant positions were identified across 23 genes previously associated with ART resistance among the set of 33 RSA0–3h phenotyped parasites [7, 15, 26], which included both sensitive and resistant parasites. Examination of both sensitive and resistant parasites would allow detection of mutations that may account for the differences in RSA0–3h survival values and identification of mutations that confer high RSA0–3h survival values independent of pfkelch13.

This analysis identified 37 SNPs (30 non-synonymous, four synonymous, two intronic) spread across 19 unique genes (Additional file 7). Eleven of these positions were invariant among these four isolates that lack pfkelch13 ORF mutations but exhibited an RSA0–3h survival value ≥0.8%. These 37 SNP positions are found in genes known to be associated with drug resistance including dihydrofolate reductase (dhfr, PF3D7_0417200) [34] and dihydropteroate synthase (dhps, PF3D7_0810800) [35]. Another locus, phosphatidylinositol-4-phosphate 5-kinase (PIP5K, PF3D7_0110600) [36], is involved in cellular signaling pathways, including synthesis of PIP2, a substrate for PI3K to produce PIP3, which activates the AKT family of serine/threonine kinases, a pathway implicated in an ART resistance mechanism [15]. The putative NLI Interacting factor-like phosphatase (NIF4, PF3D7_1012700) [36,37,39] is a protein phosphatase 2C protein. Several members of the Plasmodium phosphatome contain kelch domains and have been shown to be key regulators of parasite development and differentiation [37, 40], but NIF4 lacks an intact DxDx(T/V) motif, and thus may be catalytically inactive [39]. Pfmdr2 (PF3D7_1447900) [41, 42] is implicated as a secondary locus associated with delayed parasite clearance [26]. No other changes associated with ART resistance reported in the literature [43, 44] were detected among these parasites (Additional file 6).

Detection of PPQ resistance phenotype

To further evaluate the relationship between RSA0–3h phenotype and pfkelch13 mutations, a sub-set of eight isolates with a range of ring-stage survival phenotypes was selected. This sub-set included the two most sensitive (in green) and the two most resistant (discordant, in blue) parasites without pfkelch13 mutations, as well as four resistant parasites that contain pfkelch13 mutations (in red) (Fig. 1b). First standard in vitro drug tests [27] were used to evaluate anti-malarial drug responses among these parasites (Fig. 2). EC50 values for ART and its derivatives did not consistently correlate with either the in vivo clearance or in vitro RSA0–3h phenotypes, as previously reported [6, 7] (Additional file 8; Fig. 2). The parasite clearance half-life and RSA0–3h survival phenotypes did not consistently associate with responses to other anti-malarial compounds tested (chloroquine (CQ), MFQ, lumefantrine (LUM), atovaquone (ATV), quinine (QN) and PPQ, Additional file 8). A significant positive correlation was observed between EC50 values for ART (r = 0.881, p = 0.0072), artesunate (AS, r = 0.719, p = 0.0368), MFQ (r = 0.7619, p = 0.0368) and LUM (r = 0.857, p = 0.0107) and increased pfmdr1 copy number (Spearman correlation, Additional file 8 and Fig. 2), consistent with previous reports [30, 45, 46].

Fig. 2
figure 2

Pfmdr1 copy numbers are positively associated with MEF, LUM, ART and ARS. Drug sensitivity assays were set up with 0–6 h old ring stage parasites and % growth was measured 72 h later by SYBR Green. Shown are the average EC50 values from at least three biological replicates for two ART sensitive (green), two discordant (blue) and four resistant (red) isolates. Their respective clearance time, RSA0–3h percent survival and their pfmdr1 copy number are indicated at the bottom. The Spearman correlation coefficient for pfmdr1 copy number and each drug is shown in the graph. A one-way ANOVA test, with a Tukey’s post-test was performed between all isolates for each drug. Significance values are indicated by asterisks, as follows: *(p < 0.05); **(p < 0.01)

Full size image

Interestingly, one isolate, KH001_053, with a slow clearance time (8.7 h) and high ring survival (30%) exhibited a bimodal response to PPQ that indicated parasite survival at high PPQ concentrations (Fig. 3a). Compared to other isolates, KH001_053 also demonstrated a high survival phenotype (50–70%) when grown at high concentrations of PPQ (125 and 250 nM) for 72 h [47] (Fig. 3b). This PPQ-resistant parasite also demonstrated hyper-susceptibility to MFQ and LUM (Fig. 2), explicable at least in part by a single copy of the pfmdr1 gene (Additional file 8).

Fig. 3
figure 3

KH001_053 exhibits resistance to piperaquine (PPQ). a EC50 growth curves for eight parasite isolates in different PPQ concentrations. Percent growth is displayed on the y-axis and the PPQ concentration (nM) is represented in a log scale on the x-axis, with KH001_053 indicated by red triangles. b Relative growth is shown (percent growth) for TRAC isolates exposed to 125 nM PPQ for 72 h starting with 0–6 h old rings, with individual parasite lines represented on the x-axis. Colours correspond to parasites with RSA0–3h ≤0.2% that lack pfkelch13 mutations (sensitive, green); RSA0–3h >3% that lack pfkelch13 mutations (discordant, blue); and, RSA0–3h >1% that harbour with pfkelch13 mutations (resistant, red). Data were analysed by Kruskal–Wallis test followed by Dunn’s multi-comparison test. p values: *<0.1, **<0.01, ****<0.0001

Full size image

KH001_053 was then tested for evidence of known molecular markers associated with PPQ resistance [20], including C101F mutation in pfcrt, an amplification of 63 kb region on chromosome 5, and amplification of plasmepsin II [21, 22]. All eight isolates were evaluated for SNPs in the pfcrt locus by PCR amplification and sequencing of cDNA across pfcrt. Eight non-synonymous mutations (M74I, N75E, K76T, A220S, Q271E, N326S, I356T, R371I) were found that were fixed in these eight isolates. No evidence of the previously reported C101F haplotype in the KH001_053 parasite was detected [20]. Since PPQ resistance has been associated with an increased copy number of a 63 kb amplicon on chromosome 5 (including PF3D7_0520100, PF3D7_0520500, PF3D7_0520600, PF3D7_0520900 and PF3D7_0521000, 825600–888300 bp) and a decreased number of pfmdr1 in vitro [20, 30] as well as an increased copy number of plasmepsin II (PF3D7_140800) locus in vivo [21, 22], copy number assays were performed on those loci. In concordance with to a previous study [30] no increased copy number on the 63 kb amplicon region on chromosome 5 was detected. However, KH001_053 did harbour two copies of plasmepsin II consistent with previous reports where the presence of an increased plasmepsin II and III copy number was predictive of recrudescence in DHA/PPQ-treated patients [21, 22]. These findings strengthen the hypothesis that increased plasmepsin II copy number may play a role in PPQ resistance.

Discussion

Within a set of 68 culture-adapted Cambodian parasites, some parasites exhibited an increased RSA0–3h phenotype that lack pfkelch13 mutations, a parasite harbouring the PfKelch13 D584V change exhibited increased RSA0–3h survival, and some parasites showed evidence for PPQ resistance. To evaluate a set of 157 Cambodian P. falciparum isolates from the TRAC study, with known clearance half-life data, a genotyping assay for the common C580Y change associated with ART resistance was developed and confirmed a clear association between delayed parasite clearance half-life and the presence of the C580Y allele. Sequence or genotype data from 146 of these parasites demonstrated a positive association between the clearance phenotype and pfkelch13 propeller mutations. 68 of these parasites were culture-adapted and 36 were tested for their in vitro RSA0–3h phenotype. Increased parasite clearance half-life was associated with RSA0–3h ≥1% values, with a 4-h or greater clearance phenotype being more consistent with ART resistance based upon RSA0–3h for this population. A novel positive association was demonstrated between D584V and in vitro ring-stage parasite survival under DHA among these parasites.

Despite this general correspondence between in vivo clearance and in vitro RSA0–3h phenotypes and Pfkelch13 propeller mutations, there were discordant parasites that exhibited a resistant RSA0–3h phenotype (RSA0–3h ≥0.8%) yet harboured no mutations in the entire pfkelch13 ORF, consistent with other studies that found similarly discordant parasites by RSA0–3h [48], or by clearance half-life [26]. A parasite (see Additional file 5) with a PfKelch13 E270K outside the propeller domain exhibited a clearance value of >4 h, yet had an RSA0–3h value of 0.4 %. These differences may be due to differential host factors including variances in drug pharmacokinetics, pharmacodynamics or host immune status. More isolates with an E270K mutation need to be studied to confirm the role of a pfkelch13 mutation outside the propeller domain in ART resistance and reduce the probability of an artifact related to microscopy. Taken together, these results suggest that ART resistance in natural parasite populations could be mediated by changes outside of the pkelch13 propeller domain. Parasites with these phenotypes around the defined cut off values may be important for identification and study of loci other than pfkelch13 that contribute to ART resistance. Inspection of candidate loci, including traditional drug resistance mutations, recently identified secondary mutations, or loci related to pathways implicated in ART resistance, identified a few specific changes that may account for these discordant parasites, but lacked the statistical power to determine whether any of these contributed to ART resistance. However, identification of potential mutations in the PIP5K and pfmdr2 loci is consistent with other reports. Nevertheless, the identification of parasites that lack pfkelch13 mutations yet harbour an increased RSA0–3h survival phenotype, suggest loci other than pfkelch13 may modulate ART resistance in these parasites. Alternative strategies, such as the use of independent chemogenomic strategies or genetic crosses in vitro [49], might be useful to identify loci involved in conferring the observed increased ring-stage survival phenotype in the absence of pfkelch13 mutations.

No relationship was found between EC50 values for ART or its derivatives with either clearance or ring-stage survival phenotypes, but a previously noted correspondence was confirmed between pfmdr1 copy number and EC50 values of ART and AS, as well as with MFQ and LUM responses, among eight parasites evaluated for drug responses (Fig. 2). Drug testing identified a PPQ-resistant isolate among this population, consistent with reports in the literature of increased PPQ resistance in this region [18, 19]. The PPQ-resistant parasite had a single copy of the pfmdr1 gene [20, 30] and amplification of the plasmepsin II locus previously noted [21, 22]. The exact nature of this resistance, the role of plasmepsin II and the explanation for the apparent bimodal response to PPQ remains unknown and under investigation, but identification of culture-adapted parasites affords additional testing of both the phenotype and genotype (Additional file 1).

It has been suggested [18, 19] that PPQ resistance arose in the context of or as a consequence of ART resistance. Understanding the nature of this resistance and the underlying mechanism will be critical for reducing or restricting emergence of PPQ resistance in Southeast Asia where reports indicate rapid emergence over the past several years [18]. Furthermore, since DHA–PPQ is being utilized in mass drug administration campaigns designed to facilitate elimination of malaria in specific settings, use of molecular markers of resistance and understanding the relationship between ART and PPQ resistance will be important. Thus, identification of PPQ resistance with MFQ and LUM hyper-susceptibility in an ART resistant parasite could be an important clue to understanding mechanisms of drug response, and testing the implications of triple therapy, such as ART–PPQ–MFQ, being considered for use in this region [18].

Conclusions

In a large set of P. falciparum isolates from the TRAC study, the associations between C580Y and several other pfkelch13 propeller mutations and parasite clearance half-life was investigated. In a subset of 68 culture-adapted parasites, RSA0–3h survival and conventional responses to multiple antimalarial drugs were measured. Several pfkelch13 mutations (including D584V) were associated with increased RSA0–3h survival, and discordant parasites with RSA0–3h survival 1% but without pfkelch13 ORF mutations were identified. These data suggest that mutations outside of Pfkelch13 may confer in vitro ART resistance in P. falciparum. It will therefore be important to continue phenotypic assessment of ART resistance, in addition to surveying for pfkelch13 propeller mutations. Detection of a PPQ-resistant parasite will enable further studies to investigate underlying mechanisms of PPQ resistance. This panel of culture-adapted parasites with known parasite clearance half-life, RSA0–3h survival, and pfkelch13 genotype will facilitate further investigation of ART resistance mechanisms, providing tools to identify potential PfKelch13-binding partners and other interacting molecules.

Abbreviations

ACT:

artemisinin combination therapy

ART:

artemisinin

AS:

artesunate

Asn:

asparagine

ATV:

atovaquone

CQ:

chloroquine

DHA:

dihydroartemisinin

HRM:

high resolution melt

iRBC:

infected red blood cell

LUM:

lumefantrine

MFQ:

mefloquine

NIF4:

NLI interacting factor-like phosphatase

ORF:

open reading frame

PCR:

polymerase chain reaction

PPQ:

piperaquine

QN:

quinine

RBC:

red blood cells

SNP:

single nucleotide polymorphism

TRAC:

Tracking Resistance to Artemisinin Collaboration

WGS:

whole genome sequencing

RSA0–3h :

ring-stage survival assay

PIP5K:

phosphatidylinositol-4-phosphate 5-kinase

CNV:

copy number variation

References

  1. Lubell Y, Dondorp A, Guerin PJ, Drake T, Meek S, Ashley E, et al. Artemisinin resistance–modelling the potential human and economic costs. Malar J. 2014;13:452.

    Article  PubMed  PubMed Central  Google Scholar 

  2. White NJ. Artemisinin resistance—the clock is ticking. Lancet. 2010;376:2051–2.

    Article  PubMed  Google Scholar 

  3. 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;361:455–67.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Noedl H, Socheat D, Satimai W. Artemisinin-resistant malaria in Asia. N Engl J Med. 2009;361:540–1.

    Article  CAS  PubMed  Google Scholar 

  5. Ashley EA, Dhorda M, Fairhurst RM, Amaratunga C, Lim P, Suon S, et al. Spread of artemisinin resistance in Plasmodium falciparum malaria. N Engl J Med. 2014;371:411–23.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 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;13:1043–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. 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;505:50–5.

    Article  PubMed  Google Scholar 

  8. Straimer J, Gnadig NF, Witkowski B, Amaratunga C, Duru V, Ramadani AP, et al. Drug resistance. K13-propeller mutations confer artemisinin resistance in Plasmodium falciparum clinical isolates. Science. 2015;347:428–31.

    Article  CAS  PubMed  Google Scholar 

  9. Ghorbal M, Gorman M, Macpherson CR, Martins RM, Scherf A, Lopez-Rubio JJ. Genome editing in the human malaria parasite Plasmodium falciparum using the CRISPR-Cas9 system. Nat Biotechnol. 2014;32:819–21.

    Article  CAS  PubMed  Google Scholar 

  10. Hong YL, Yang YZ, Meshnick SR. The interaction of artemisinin with malarial hemozoin. Mol Biochem Parasitol. 1994;63:121–8.

    Article  CAS  PubMed  Google Scholar 

  11. Wang J, Zhang CJ, Chia WN, Loh CC, Li Z, Lee YM, et al. Haem-activated promiscuous targeting of artemisinin in Plasmodium falciparum. Nat Commun. 2015;6:10111.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Xie SC, Dogovski C, Hanssen E, Chiu F, Yang T, Crespo MP, et al. Haemoglobin degradation underpins the sensitivity of early ring stage Plasmodium falciparum to artemisinins. J Cell Sci. 2016;129:406–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Dogovski C, Xie SC, Burgio G, Bridgford J, Mok S, McCaw JM, et al. Targeting the cell stress response of Plasmodium falciparum to overcome artemisinin resistance. PLoS Biol. 2015;13:e1002132.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Mok S, Ashley EA, Ferreira PE, Zhu L, Lin Z, Yeo T, et al. Drug resistance. Population transcriptomics of human malaria parasites reveals the mechanism of artemisinin resistance. Science. 2015;347:431–5.

    Article  CAS  PubMed  Google Scholar 

  15. Mbengue A, Bhattacharjee S, Pandharkar T, Liu H, Estiu G, Stahelin RV, et al. A molecular mechanism of artemisinin resistance in Plasmodium falciparum malaria. Nature. 2015;520:683–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Phyo AP, Ashley EA, Anderson TJ, Bozdech Z, Carrara VI, Sriprawat K, et al. Declining efficacy of artemisinin combination therapy against P. falciparum malaria on the Thai–Myanmar Border (2003–2013): the role of parasite genetic factors. Clin Infect Dis. 2016;63:784–91.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tilley L, Straimer J, Gnadig NF, Ralph SA, Fidock DA. Artemisinin action and resistance in Plasmodium falciparum. Trends Parasitol. 2016;32:682–96.

    Article  CAS  PubMed  Google Scholar 

  18. Amaratunga C, Lim P, Suon S, Sreng S, Mao S, Sopha C, et al. Dihydroartemisinin-piperaquine resistance in Plasmodium falciparum malaria in Cambodia: a multisite prospective cohort study. Lancet Infect Dis. 2016;16:357–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Leang R, Taylor WR, Bouth DM, Song L, Tarning J, Char MC, et al. Evidence of Plasmodium falciparum malaria multidrug resistance to artemisinin and piperaquine in western Cambodia: dihydroartemisinin–piperaquine open-label multicenter clinical assessment. Antimicrob Agents Chemother. 2015;59:4719–26.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Eastman RT, Dharia NV, Winzeler EA, Fidock DA. Piperaquine resistance is associated with a copy number variation on chromosome 5 in drug-pressured Plasmodium falciparum parasites. Antimicrob Agents Chemother. 2011;55:3908–16.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  21. Amato R, Lim P, Miotto O, Amaratunga C, Dek D, Pearson RD, et al. Genetic markers associated with dihydroartemisinin–piperaquine failure in Plasmodium falciparum malaria in Cambodia: a genotype-phenotype association study. Lancet Infect Dis. 2017;17:164–73.

    Article  CAS  PubMed  Google Scholar 

  22. Witkowski B, Duru V, Khim N, Ross LS, Saintpierre B, Beghain J, et al. A surrogate marker of piperaquine-resistant Plasmodium falciparum malaria: a phenotype-genotype association study. Lancet Infect Dis. 2017;17:174–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  23. White NJ. Can new treatment developments combat resistance in malaria? Expert Opin Pharmacother. 2016;17:1303–7.

    Article  PubMed  Google Scholar 

  24. Daniels R, Hamilton EJ, Durfee K, Ndiaye D, Wirth DF, Hartl DL, et al. Methods to increase the sensitivity of high resolution melting single nucleotide polymorphism genotyping in malaria. J Vis Exp. 2015;105:e52839.

    Google Scholar 

  25. Daniels R, Volkman SK, Milner DA, Mahesh N, Neafsey DE, Park DJ, et al. A general SNP-based molecular barcode for Plasmodium falciparum identification and tracking. Malar J. 2008;7:223.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Miotto O, Amato R, Ashley EA, MacInnis B, Almagro-Garcia J, Amaratunga C, et al. Genetic architecture of artemisinin-resistant Plasmodium falciparum. Nat Genet. 2015;47:226–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Johnson JD, Dennull RA, Gerena L, Lopez-Sanchez M, Roncal NE, Waters NC. Assessment and continued validation of the malaria SYBR green I-based fluorescence assay for use in malaria drug screening. Antimicrob Agents Chemother. 2007;51:1926–33.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Ribacke U, Mok BW, Wirta V, Normark J, Lundeberg J, Kironde F, et al. Genome wide gene amplifications and deletions in Plasmodium falciparum. Mol Biochem Parasitol. 2007;155:33–44.

    Article  CAS  PubMed  Google Scholar 

  29. Price RN, Uhlemann AC, Brockman A, McGready R, Ashley E, Phaipun L, et al. Mefloquine resistance in Plasmodium falciparum and increased pfmdr1 gene copy number. Lancet. 2004;364:438–47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  30. Lim P, Dek D, Try V, Eastman RT, Chy S, Sreng S, et al. Ex vivo susceptibility of Plasmodium falciparum to antimalarial drugs in western, northern, and eastern Cambodia, 2011–2012: association with molecular markers. Antimicrob Agents Chemother. 2013;57:5277–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  31. Schwach F, Bushell E, Gomes AR, Anar B, Girling G, Herd C, et al. PlasmoGEM, a database supporting a community resource for large-scale experimental genetics in malaria parasites. Nucleic Acids Res 2015;43: 1176–82. doi:10.1093/nar/gku1143

    Article  Google Scholar 

  32. The MalariaGEN Genomic Epidemiology Network Pf3K Project. https://www.malariagen.net/projects/pf3k. Accessed Mar 2015.

  33. Wang Z, Wang Y, Cabrera M, Zhang Y, Gupta B, Wu Y, et al. Artemisinin resistance at the China–Myanmar border and association with mutations in the K13 propeller gene. Antimicrob Agents Chemother. 2015;59:6952–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Bzik DJ, Li WB, Horii T, Inselburg J. Molecular cloning and sequence analysis of the Plasmodium falciparum dihydrofolate reductase-thymidylate synthase gene. Proc Natl Acad Sci USA. 1987;84:8360–4.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  35. Triglia T, Cowman AF. Primary structure and expression of the dihydropteroate synthetase gene of Plasmodium falciparum. Proc Natl Acad Sci USA. 1994;91:7149–53.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Leber W, Skippen A, Fivelman QL, Bowyer PW, Cockcroft S, Baker DA. A unique phosphatidylinositol 4-phosphate 5-kinase is activated by ADP-ribosylation factor in Plasmodium falciparum. Int J Parasitol. 2009;39:645–53.

    Article  CAS  PubMed  Google Scholar 

  37. Guttery DS, Poulin B, Ramaprasad A, Wall RJ, Ferguson DJ, Brady D, et al. Genome-wide functional analysis of Plasmodium protein phosphatases reveals key regulators of parasite development and differentiation. Cell Host Microbe. 2014;16:128–40.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Pandey R, Mohmmed A, Pierrot C, Khalife J, Malhotra P, Gupta D. Genome wide in silico analysis of Plasmodium falciparum phosphatome. BMC Genom. 2014;15:1024.

    Article  Google Scholar 

  39. Wilkes JM, Doerig C. The protein-phosphatome of the human malaria parasite Plasmodium falciparum. BMC Genom. 2008;9:412.

    Article  Google Scholar 

  40. Guttery DS, Poulin B, Ferguson DJ, Szoor B, Wickstead B, Carroll PL, et al. A unique protein phosphatase with kelch-like domains (PPKL) in Plasmodium modulates ookinete differentiation, motility and invasion. PLoS Pathog. 2012;8:e1002948.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Zalis MG, Wilson CM, Zhang Y, Wirth DF. Characterization of the pfmdr2 gene for Plasmodium falciparum. Mol Biochem Parasitol. 1993;62:83–92.

    Article  CAS  PubMed  Google Scholar 

  42. Rubio JP, Cowman AF. Plasmodium falciparum: the pfmdr2 protein is not overexpressed in chloroquine-resistant isolates of the malaria parasite. Exp Parasitol. 1994;79:137–47.

    Article  CAS  PubMed  Google Scholar 

  43. Cheeseman IH, Miller BA, Nair S, Nkhoma S, Tan A, Tan JC, et al. A major genome region underlying artemisinin resistance in malaria. Science. 2012;336:79–82.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Takala-Harrison S, Jacob CG, Arze C, Cummings MP, Silva JC, Dondorp AM, et al. Independent emergence of artemisinin resistance mutations among Plasmodium falciparum in Southeast Asia. J Infect Dis. 2015;211:670–9.

    Article  CAS  PubMed  Google Scholar 

  45. Chaorattanakawee S, Saunders DL, Sea D, Chanarat N, Yingyuen K, Sundrakes S, et al. Ex vivo drug susceptibility testing and molecular profiling of clinical Plasmodium falciparum isolates from Cambodia from 2008 to 2013 suggest emerging piperaquine resistance. Antimicrob Agents Chemother. 2015;59:4631–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Chaorattanakawee S, Lanteri CA, Sundrakes S, Yingyuen K, Gosi P, Chanarat N, et al. Attenuation of Plasmodium falciparum in vitro drug resistance phenotype following culture adaptation compared to fresh clinical isolates in Cambodia. Malar J. 2015;14:486.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Duru V, Khim N, Leang R, Kim S, Domergue A, Kloeung N, et al. Plasmodium falciparum dihydroartemisinin-piperaquine failures in Cambodia are associated with mutant K13 parasites presenting high survival rates in novel piperaquine in vitro assays: retrospective and prospective investigations. BMC Med. 2015;13:305.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Boulle M, Witkowski B, Duru V, Sriprawat K, Nair SK, McDew-White M, et al. Artemisinin-resistant Plasmodium falciparum K13 mutant alleles, Thailand–Myanmar border. Emerg Infect Dis. 2016;22:1503–5.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Vaughan AM, Pinapati RS, Cheeseman IH, Camargo N, Fishbaugher M, Checkley LA, et al. Plasmodium falciparum genetic crosses in a humanized mouse model. Nat Methods. 2015;12:631–3.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Authors’ contributions

AM, SB, PM carried out RSA0–3h, drug testing, PCR-based genotyping and copy number variation analysis and helped write the manuscript; WW carried out the genomic analysis with data provided by OM and helped write the manuscript; RD developed the C580Y HRM genotyping assay and carried out molecular barcoding of the samples; AD created primer sets and helped with RSA0–3h analysis of the samples; SS helped with genomic analysis and provided critical edits to the manuscript; CA, PL, MD, CW, EAA, AMD, NJW, and RF carried out field collection and provided in vivo sample information and samples. DFW provided critical review of the data and experimental guidance. SKV culture adapted the parasites, provided critical review of the data and experimental guidance, and wrote the manuscript. All authors provided critical review of the data and manuscript before publication. All authors read and approved the final manuscript.

Acknowledgements

We would like to thank the patients who participated to the TRAC study and Dr. Kesinee Chotivanich and her team for initial cryopreservation of the isolates. We would like to thank Courtney Edison for help with tissue culture and RSA assays, and Elizabeth Hamilton for work developing the C580Y genotyping assay and for genotyping filter paper derived samples. We would also like to thank Katelyn Durfee for molecular barcode analysis of culture-adapted lines. We thank Paul Hinkson for his help with EC50 assays for anti-malarial drug testing of the culture-adapted parasites.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Datasets generated and/or analysed during the current study are available through the MalariaGEN Pf3K Project [26, 32].

Ethics approval and consent to participate

The scientific merit and use of human subjects for this study was approved by the institutional review board (IRB) of the Harvard T. H. Chan School of Public Health (22689-101). Written informed consent was obtained from all adult subjects and from the parent or legal guardians of minors.

Funding

We thank the generous funding that supported this work. The TRAC study was funded by the UK Department for International Development; support for culture-adaptation and analysis at the Harvard T. H. Chan School of Public Health was provided by the University of Oxford/Bill and Melinda Gates Foundation for “Identifying a Laboratory Marker of Artemisinin Resistance” (OPP104063, PI: Nicholas White); and from the Bill and Melinda Gates Foundation “Genomics-Based Diagnostics for Elimination and Eradication of Plasmodium” (OPP1053604, PI: Dyann Wirth).

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Author information

Author notes

  1. Angana Mukherjee and Selina Bopp contributed equally to this work

Authors and Affiliations

  1. Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, I-704, Boston, MA, 02115, USA

    Angana Mukherjee, Selina Bopp, Pamela Magistrado, Wesley Wong, Rachel Daniels, Allison Demas, Dyann Wirth & Sarah K. Volkman

  2. Infectious Disease Initiative, The Broad Institute of MIT and Harvard, Cambridge, MA, USA

    Rachel Daniels, Stephen Schaffner, Dyann Wirth & Sarah K. Volkman

  3. Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Rockville, MD, USA

    Chanaki Amaratunga, Pharath Lim & Rick Fairhurst

  4. Asia Regional Centre, Worldwide Antimalarial Resistance Network, Bangkok, Thailand

    Mehul Dhorda

  5. Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, UK

    Mehul Dhorda, Charles Woodrow, Elizabeth A. Ashley, Arjen M. Dondorp & Nicholas J. White

  6. Mahidol-Oxford Tropical Medicine Research Unit, Mahidol University, Bangkok, Thailand

    Olivo Miotto, Charles Woodrow, Elizabeth A. Ashley, Arjen M. Dondorp & Nicholas J. White

  7. Centre for Genomics and Global Health, Wellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK

    Olivo Miotto

  8. Wellcome Trust Sanger Institute, Hinxton, UK

    Olivo Miotto

  9. Department of Intensive Care, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands

    Arjen M. Dondorp

  10. School of Nursing and Health Sciences, Simmons College, Boston, MA, USA

    Sarah K. Volkman

Authors
  1. Angana Mukherjee
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Selina Bopp
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Pamela Magistrado
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Wesley Wong
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Rachel Daniels
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Allison Demas
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Stephen Schaffner
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Chanaki Amaratunga
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Pharath Lim
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Mehul Dhorda
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Olivo Miotto
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Charles Woodrow
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Elizabeth A. Ashley
    View author publications

    You can also search for this author in PubMed Google Scholar

  14. Arjen M. Dondorp
    View author publications

    You can also search for this author in PubMed Google Scholar

  15. Nicholas J. White
    View author publications

    You can also search for this author in PubMed Google Scholar

  16. Dyann Wirth
    View author publications

    You can also search for this author in PubMed Google Scholar

  17. Rick Fairhurst
    View author publications

    You can also search for this author in PubMed Google Scholar

  18. Sarah K. Volkman
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sarah K. Volkman.

Additional files

Additional file 1. Culture-adaptation of TRAC parasites.

Additional file 2. Summary of all genotypes available.

12936_2017_1845_MOESM3_ESM.pptx

Additional file 3. Schematic shows distribution of parasites obtained from Pursat (blue star on map, KH1 parasites indicated in blue) and Pailin (red star, KH4 parasites indicated in red) from Cambodia (map modified from https://commons.wikimedia.org/wiki/File:Cambodia_provinces_en.svg).

12936_2017_1845_MOESM4_ESM.pdf

Additional file 4. Distribution of C580Y mutations in Cambodian isolates. Parasites from Pursat (round symbols) or Pailin (square symbols) were classified according to their Pfkelch13 alleles. Comparison of clearance half-life values (hours, h) from parasites harboring the wild-type (C) or mutant (Y) allele at amino acid position 580 in the Pfkelch13 locus, with culture-adapted parasites represented by black outlined symbols. C580 parasites harboring a mutation in the Pfkelch13 propeller domain other than C580Y are indicated by grey filled symbols. An unpaired t test was performed between the C580 and C580Y carrying parasites from Pursat (p < 0.0001) or Pailin (p < 0.05); with significant differences (p < 0.0001 overall) when both Pursat and Pailin were combined.

12936_2017_1845_MOESM5_ESM.pdf

Additional file 5. Association between percent survival RSA0–3h and clearance time. Correlation between clearance time on the x-axis and percent survival RSA0–3h on the y-axis. Each dot represents an isolate. Samples represented by color were used for in vitro drug testing and for pfmdr1 copy number variation determination—green for ART sensitive; blue for discordant; and red for ART resistant parasites. The grey dot marks the isolate with an E270K mutation. The dotted lines represent the cut off used to discriminate between resistant and sensitive parasites (1% for RSA0–3h, 4 or 5% for clearance).

Additional file 6. All genes analysed for candidate gene approach.

Additional file 7. All positions that are variant in RSA0–3h phenotyped isolates.

12936_2017_1845_MOESM8_ESM.xlsx

Additional file 8. Spearman correlation coefficients between antimalarial EC50 values, in vivo clearance half-life, ring survival assay0–3h or pfmdr1 copy number.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Mukherjee, A., Bopp, S., Magistrado, P. et al. Artemisinin resistance without pfkelch13 mutations in Plasmodium falciparum isolates from Cambodia. Malar J 16, 195 (2017). https://doi.org/10.1186/s12936-017-1845-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12936-017-1845-5

Keywords

Malaria Journal

ISSN: 1475-2875

Contact us