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Am. J. Trop. Med. Hyg., 74(5), 2006, pp. 758-761
Copyright © 2006 by The American Society of Tropical Medicine and Hygiene

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SHORT REPORT


DYNAMICS OF PLASMODIUM FALCIPARUM MALARIA AFTER SUB-OPTIMAL THERAPY IN UGANDA

ALISSA MYRICK*, ERIKA LEEMANN, CHRIS DOKOMAJILAR, HEIDI HOPKINS, GRANT DORSEY, MOSES R. KAMYA, AND PHILIP J. ROSENTHAL
Department of Medicine, San Francisco General Hospital, University of California, San Francisco, California; Makerere University, Kampala, Uganda

 

ABSTRACT

We followed parasite genotypes of 75 patients for 42 days after treatment of uncomplicated malaria with chloroquine + sulfadoxine-pyrimethamine in Kampala, Uganda. Infections were complex (mean, 2.88 strains) and followed three patterns: 27% of patients eliminated all strains and remained parasite-free, 48% had a long aparasitemic interval followed by reappearance of original strains after 3–33 days (mean, 9.2 days), and 25% failed to clear original strains and required therapy after 3–35 days (mean, 17 days). These results highlight the complexity of malaria in Africa and have implications for efficacy trials, because missing late reappearances of strains could lead to misclassification of outcomes.

 

INTRODUCTION

In sub-Saharan Africa, malaria is highly endemic, infections are often polyclonal, and antimalarial regimens are limited by drug resistance. Therefore, treatment is commonly followed by either recrudescent or new infections. In this setting, it is of interest to rigorously evaluate the dynamics of malaria infections after therapy. A number of studies have analyzed parasite dynamics during asymptomatic plasmodial infections.1,2 Some reports noted a 48-hour periodicity in the appearance of strains, suggesting synchronicity of polyclonal Plasmodium falciparum infections.14 The complexity of infection generally remained stable over time, but specific genotypes varied.2,3,5 Increasing complexity of asymptomatic infection, increasing parasitemia, and the appearance of novel strains were associated with an increasing risk of developing clinical symptoms.6,7

Few studies have analyzed the dynamics of infection after treatment of malaria. In patients with uncomplicated malaria evaluated in France, parasite genotypes varied within hours of treatment with quinine.8 In contrast, in patients with uncomplicated malaria evaluated in Sweden, genotypes at 12-hour intervals during therapy remained remarkably constant.9 These studies were comprised of patients returning to nonendemic countries; thus, the impact of new infections on complexity of infection could not be examined. We were interested in the dynamics of malaria in Africans living in an area of high transmission and treated with a common, albeit sub-optimal regimen. We therefore evaluated 75 patients diagnosed with uncomplicated malaria in Uganda and treated with chloroquine + sulfadoxine/pyrimethamine (CQ/SP), the standard treatment for uncomplicated malaria in Uganda.

 

MATERIALS AND METHODS

Study site and population. Patients presenting to the outpatient department of Mulago Hospital in Kampala, Uganda, between December 2003 and August 2004 were evaluated. Patients with a positive screening thick blood smear were enrolled if they met the following inclusion criteria: 1) age of at least 6 months; 2) history of fever in the last 24 hours or tympanic temperature of at least 38.0°C; 3) P. falciparum mixed or mono-infection with a parasite density of no more than 400,000/µL; 4) no history of serious side effects to study medications; 5) no evidence of a concomitant febrile illness; 6) provision of informed consent; 7) ability to participate in 42-day follow-up; 8) absence of pregnancy based on history of last menstrual period; and 9) no danger signs (prostration, inability to drink, recent convulsion, persistent vomiting) or evidence of severe malaria. Patients received directly observed therapy with CQ/SP (Cosmoquine, Cosmos, sequential 10, 10, and 5 mg/kg daily doses; Fansidar, Roche, 25 mg/kg sulfadoxine and 1.25 mg/kg pyrimethamine as a single dose) and were followed for 42 days. Treatment outcomes were classified according to 2003 World Health Organization guidelines as early treatment failure (ETF)—danger signs, complicated malaria, or failure to adequately respond days 0–3—late clinical failure (LCF)—danger signs, complicated malaria, or fever and parasitemia on days 4–42 without meeting criteria for ETF—late parasitological failure (LPF)—asymptomatic parasitemia on day 42 without meeting criteria for ETF or LCF—and adequate clinical and parasitological response (ACPR)—absence of parasitemia on day 42 without meeting criteria for ETF, LCF, or LPF.10 Patients classified as ETF, LTF, or LPF were treated with quinine 10 mg/kg three times a day for 7 days. The Institutional Review Boards of the University of California, San Francisco and Makerere University approved this study. Blood was collected on filter paper (Whatman no. 3) daily for the first week and thrice weekly for 5 subsequent weeks. After the first week a medical officer who recorded the patient’s temperature and obtained a fingerprick blood sample performed home visits at 2- to 3-day intervals during the week. Also, patients were asked to return to clinic once a week, where interim history, a physical exam, and fingerprick blood samples were collected.

Molecular genotyping of parasite DNA. Parasite DNA was extracted with chelex.11 The block 3 region of merozoite surface protein-2 (msp-2) was amplified by nested polymerase chain reaction (PCR) with primers corresponding to conserved sequences flanking this region5 followed by primers to amplify the IC3D7 and FC27 allelic families.12 3D7 and HB3 genomic DNA was used for positive controls. PCR products were analyzed by electrophoresis using 2.0% Tris-Borate EDTA agarose gels. All samples from a single patient were run on the same gel. If there was no amplification for any allelic family on any day with a corresponding positive blood smear, PCR was repeated with 2.5 times the quantity of DNA for all samples from that patient. If no amplification was detected after this second attempt, genotyping was classified as unsuccessful. Of the patients included in this analysis, one patient had a single sampling day with a positive microscopy result but a negative PCR result. Gel images were digitized, and molecular weights were assigned to bands using GelCompar II software (Applied Maths, Austin, TX). Each band assigned a molecular weight was considered an individual strain. When comparing days, strains were considered the same if molecular weights were within 15 bp. Treatment outcomes were adjusted by comparing genotypes on the day of failure with those at presentation (day 0 or day 1). Recrudescences were defined as LCFs and LPFs when all strains detected on the day of failure were also seen at presentation, new infections as LCFs and LPFs when no strains present on the day of failure were seen on presentation, and mixed outcomes as LCFs and LPFs when the day of failure sample contained both original and new strains. For sequencing, PCR products were treated with ExoSAP-IT (US Biochemicals, Cleveland, OH) and sequenced by standard methods. ClustalW analysis was performed using Lasergene software (DNAStar, Madison, WI). For analysis of polymorphisms, PCR amplification of portions of the P. falciparum dihydrofolate reductase (dhfr) and dihydropteroate synthetase (dhps) genes and identification of genotypes by restriction endonuclease digestion were performed as previously described.13,14

Statistical analysis. Statistical tests were conducted using Stata version 8.0 (Stata Corp., College Station, TX). Comparisons of patient age and pre-treatment complexity of infection across the three genotyping patterns were made using a non-parametric test of trend (extension of Wilcoxon ranksum test). Comparisons of pre-treatment geometric mean parasite density across the genotyping patterns were made using analysis of variance (ANOVA).

 

RESULTS AND DISCUSSION

Among the 75 patients who completed the study, the mean age was 7.8 years (range, 9 months to 37 years), and 45% of patients were women. On day 0, the geometric mean parasite density was 46,410 parasites/µL (range, 440–281,600 parasites/µL), and the mean complexity of infection was 2.88 (range, 1–10). The anti-malarial efficacy of CQ/SP was quite poor. Early treatment failures were uncommon (8%), but only 33% of patients had an adequate clinical and parasitological response after 42 days of follow-up. Forty-nine percent of patients were late clinical failures, and an additional 9% were late parasitological failures. Clinical failures occurred within 14 days of the onset of therapy in 30%, within 28 days in 87%, and by day 35 in the remaining subjects. Genotyping showed that, among late clinical and parasitological failures, 55% were caused by mixed or new infections and 45% by recrudescence.

Frequent sampling provided numerous data points by which to follow parasite dynamics over 42 days after treatment. Gel patterns generated from msp-2 genotyping varied among patients. We identified three distinct patterns of parasite clearance. In pattern 1 (20 patients, 27%), parasites present on day 0 or day 1 cleared after therapy and did not recur through the course of follow-up (Figure 1AGo). All of these patients cleared original infecting strains within 3 days after treatment. New strains appeared in 65% of these patients but were usually cleared (77%).


Figure 1
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    FIGURE 1. Genotyping patterns after chloroquine/sulfadoxine-pyrimethamine therapy. At the indicated time-points, the IC3D7 and FC27 alleles of msp-2 were amplified, and products were resolved by electrophoresis. Representative results are shown for (A) a patient who cleared all strains (pattern 1), (B and C) two patients who experienced a long aparasitemic interval followed by recrudescence of original strains (pattern 2), and (D) a patient who did not clear infection, leading to treatment failure (pattern 3). Molecular weight markers (M), a negative control (Neg), and positive controls for the two alleles (3D7 for IC3D7 and HB3 for FC27) are indicated on each gel. Accompanying graphs show the dynamics of infection in the same patients.

 
In pattern 2 (36 patients, 48%), genotyping revealed a long aparasitemic interval (defined as at least 3 days between positive PCR results; mean, 9.2 days; range: 3–35 days) followed by reappearance of original infecting strains (Figure 1, B and CGo). Among these patients, 22 also had new strains appear during follow-up. In all cases, during intervals deemed aparasitemic based on PCR, parasite smears were also negative. No periodicity in the appearance of strains was observed. To confirm that strains that appeared after a long interval were recrudescent, as suggested by msp-2 banding patterns, we sequenced msp-2 alleles in nine patients with monoclonal infections. All studied patients had the same (> 98% identity) sequences, indicating that parasites commonly circulated at levels below microscopy and PCR limits of detection for many days before recrudescences. Previous studies of asymptomatic infection have shown that introduction of new strains is associated with increased risk of developing clinical symptoms.6,7 We examined the timing of appearance of new strains in relation to time of clinical failure and found that, for the 24 patients requiring rescue therapy in this pattern, 5 (21%) had a new strain appear one sampling frame before or on the day of clinical failure.

In pattern 3 (19 patients, 25%), original strains were not cleared after treatment (parasites absent at only a single time-point, flanked by microscopy-positive time-points, were not considered to have been cleared); the majority of patients (N = 16) required rescue therapy 3–35 days after CQ/SP treatment (Figure 1DGo). Parasite density increased 1–2 days before presentation, with recurrent fever in 11 patients (58%). Complexity of infection increased before presentation with fever in only five patients (26%). Of the 16 patients who required rescue therapy in this pattern, 4 (25%) had new strains appear one sampling frame before or on the day of clinical failure. Therefore, the majority of failures could be attributed to original infecting strains.

Considering all patterns over the course of follow-up, most identified strains were those observed at the onset of the study (Table 1Go). For 44 (59%) patients, baseline strains persisted through follow-up. For 21 of these patients, only baseline strains were detected. A total of 42 (56%) patients had new strains appear during follow-up. Among these individuals, new strains persisted in the absence of original strains in 5 patients (12%), original and new strains persisted in 14 (33%), original strains persisted after clearance of new strains in 9 (21%), and all strains were cleared in 14 (33%). In contrast to results from studies of asymptomatic infection,6,7 onset of recurrent malaria was mostly preceded by the presence of original infecting strains, rather than new strains.


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TABLE 1
Appearance of original and new strains through follow-up
 
A comparison of baseline data between the three genotyping patterns revealed some significant differences between the patient populations. As clearance of parasite strains diminished, there was a significant decrease in median age (pattern 1, 10 years; pattern 2, 7 years, pattern 3, 4 years; P = 0.04), a significant increase in pre-treatment geometric mean parasite density (pattern 1, 8,840/µL; pattern 2, 27,000/µL; pattern 3, 34,560/µL; P < 0.001), and a trend toward a higher mean complexity of infection (pattern 1, 2.3; patterns 2 and 3, 3.1; P = 0.18). Thus, age and parasite burden were significant factors in determining how well a patient cleared parasites after treatment.

These results indicate that exposure of parasites to drug pressure, with potential selection for resistance-mediating mutations, is common after treatment with CQ/SP. To assess the selection of resistant parasites, we evaluated key markers of resistance to SP (dhfr 59, dhps 540, and dhps 437) in 21 patients who had long aparasitemic intervals followed by reappearance of original isolates. Of evaluated patients, four had changes in molecular markers during the aparasitemic interval. Two patients showed shifts from mixed to mutant genotypes of dhfr 59, one from wild-type to mutant for dhps 437 and dhps 540 and mutant to mixed for dhfr 59, and one from mixed to mutant for dhps 437 and dhps 540. Although numbers for this analysis were small, the results suggest selection for resistance by CQ/SP.

In summary, after therapy with a standard, albeit suboptimal, regimen for uncomplicated malaria, the dynamics of infection and interplay between original and new strains were complex. Perhaps of greatest interest, a surprisingly large number of patients (48%) had long breaks without parasitemia detectable by microscopy or PCR followed by the reappearance of original infecting strains. These patients had lower mean age and higher pre-treatment parasite density than patients who were able to clear all original parasites. This observation indicates that, in malaria-immune individuals, parasites can persist in low numbers for extended periods of time, followed by multiplication to levels that cause recurrent illness. This result has important implications for drug efficacy studies. Follow-up that is not sufficiently long or that does not assess multiple time-points might miss late recrudescent infections, leading to misclassification of outcomes. It is likely that the use of CQ/SP, a drug that has a long half-life and intermediate antimalarial activity in Uganda,15 contributed to the high frequency of aparasitemic intervals after therapy. It will be of interest to study parasite dynamics after treatment with regimens with different pharmacokinetic and drug resistance profiles.


Received November 9, 2005. Accepted for publication January 27, 2006.

Acknowledgments: We thank the clinic and laboratory staff at the Makerere University/UC San Francisco Malaria Project in Kampala, as well as all of the patients who agreed to participate in the study.

Financial support: This study was supported by the National Institutes of Health (U01AI152142), the NIH Research Supplements for Underrepresented Minorities (UO1 AI152142-02S1) (AM), and the Doris Duke Charitable Foundation. P.J.R. is a Doris Duke Charitable Foundation Distinguished Clinical Scientist.

* Address correspondence to Alissa Myrick, Division of Infectious Diseases, Box 0811, U.C. San Francisco, San Francisco, CA 94143. E-mail: amyrick{at}medsfgh.ucsf.edu Back

Authors’ addresses: Alissa Myrick, Erika Leemann, Chris Dokomajilar, Heidi Hopkins, Grant Dorsey, and Philip J. Rosenthal, Division of Infectious Diseases, Box 0811, U.C. San Francisco, San Francisco, CA 94143. Moses R. Kamya, Makerere University Medical School, Department of Medicine, PO Box 7072, Kampala, Uganda.

 

REFERENCES

  1. Färnert A, Snounou G, Rooth I, Bjorkman A, 1997. Daily dynamics of Plasmodium falciparum subpopulations in asymptomatic children in a holoendemic area. Am J Trop Med Hyg 56: 538–547.[Abstract/Free Full Text]
  2. Bruce MC, Galinski MR, Barnwell JW, Donnelly CA, Walmsley M, Alpers MP, Walliker D, Day KP, 2000. Genetic diversity and dynamics of plasmodium falciparum and P. vivax populations in multiply infected children with asymptomatic malaria infections in Papua New Guinea. Parasitology 121: 257–272.
  3. Färnert A, Rooth I, Svensson, Snounou G, Bjorkman A, 1999. Complexity of Plasmodium falciparum infections is consistent over time and protects against clinical disease in Tanzanian children. J Infect Dis 179: 989–995.[ISI][Medline]
  4. Daubersies P, Sallenave-Sales S, Magne S, Trape JF, Contamin H, Fandeur T, Rogier C, Mercereau-Puijalon O, Druilhe P, 1996. Rapid turnover of Plasmodium falciparum populations in asymptomatic individuals living in a high transmission area. Am J Trop Med Hyg 54: 18–26.[Abstract/Free Full Text]
  5. Zwetyenga J, Rogier C, Tall A, Fontenille D, Snounou G, Trape JF, Mercereau-Puijalon O, 1998. No influence of age on infection complexity and allelic distribution in Plasmodium falciparum infections in Ndiop, a Senegalese village with seasonal, mesoendemic malaria. Am J Trop Med Hyg 59: 726–735.[Abstract]
  6. Ofosu-Okyere A, Mackinnon MJ, Sowa MP, Koram KA, Nkrumah F, Osei YD, Hill WG, Wilson MD, Arnot DE, 2001. Novel Plasmodium falciparum clones and rising clone multiplicities are associated with the increase in malaria morbidity in Ghanaian children during the transition into the high transmission season. Parasitology 123: 113–123.[Medline]
  7. Kun JF, Missinou MA, Lell B, Sovric M, Knoop H, Bojowald B, Dangelmaier O, Kremsner PG, 2002. New emerging Plasmodium falciparum genotypes in children during the transition phase from asymptomatic parasitemia to malaria. Am J Trop Med Hyg 66: 653–658.[Abstract]
  8. Jafari S, Le Bras J, Bouchaud O, Durand R, 2004. Plasmodium falciparum clonal population dynamics during malaria treatment. J Infect Dis 189: 195–203.[ISI][Medline]
  9. Färnert A, Bjorkman A, 2005. Limited advantage of multiple consecutive samples for genotyping Plasmodium falciparum populations during the first days of treatment. Am J Trop Med Hyg 73: 204–206.[Abstract/Free Full Text]
  10. World Health Organization, 2001. Assessment and Monitoring of Antimalarial Drug Efficacy for the Treatment of Uncomplicated Falciparum Malaria. Geneva, Switzerland: World Health Organization.
  11. Plowe CV, Djimde A, Bouare M, Doumbo O, Wellems TE, 1995. Pyrimethamine and proguanil resistance-conferring mutations in Plasmodium falciparum dihydrofolate reductase: polymerase chain reaction methods for surveillance in Africa. Am J Trop Med Hyg 52: 565–568.[Abstract/Free Full Text]
  12. Cattamanchi A, Kyabayinze D, Hubbard A, Rosenthal PJ, Dorsey G, 2003. Distinguishing recrudescence from reinfection in a longitudinal antimalarial drug efficacy study: comparison of results based on genotyping of msp-1, msp-2, and glurp. Am J Trop Med Hyg 68: 133–139.[Abstract/Free Full Text]
  13. Duraisingh MT, Curtis J, Warhurst DC, 1998. Plasmodium falciparum: detection of polymorphisms in the dihydrofolate reductase and dihydropteroate synthetase genes by PCR and restriction digestion. Exp Parasitol 89: 1–8.[ISI][Medline]
  14. Kyabayinze D, Cattamanchi A, Kamya MR, Rosenthal PJ, Dorsey G, 2003. Validation of a simplified method for using molecular markers to predict sulfadoxine-pyrimethamine treatment failure in African children with falciparum malaria. Am J Trop Med Hyg 69: 247–252.[Abstract/Free Full Text]
  15. Staedke SG, Mpimbaza A, Kamya MR, Nzarubara BK, Dorsey G, Rosenthal PJ, 2004. Combination treatments for uncomplicated falciparum malaria in Kampala, Uganda: randomised clinical trial. Lancet 364: 1950–1957.[ISI][Medline]




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