Open Access

Gametocyte carriage in Plasmodium falciparum-infected travellers

  • Catherine H Roberts1,
  • Margaret Armstrong1,
  • Ewa Zatyka1,
  • Samuel Boadi2,
  • Simon Warren1,
  • Peter L Chiodini1, 2, 3,
  • Colin J Sutherland2, 3 and
  • Tom Doherty1Email author
Malaria Journal201312:31

DOI: 10.1186/1475-2875-12-31

Received: 22 October 2012

Accepted: 9 January 2013

Published: 24 January 2013

Abstract

Background

Gametocytes are the sexual stage of Plasmodium parasites. The determinants of gametocyte carriage have been studied extensively in endemic areas, but have rarely been explored in travellers with malaria. The incidence of gametocytaemia, and factors associated with gametocyte emergence in adult travellers with Plasmodium falciparum malaria was investigated at the Hospital for Tropical Diseases in London.

Methods

Clinical, parasitological and demographic data for all patients presenting with P. falciparum malaria between January 2001 and December 2011 were extracted from a prospective database. These data were supplemented by manual searches of laboratory records and patient case notes.

Results

Seven hundred and seventy three adult patients with laboratory-confirmed P. falciparum malaria were identified. Four hundred and sixty five (60%) were born in a country where malaria is endemic. Patients presented to hospital a median of four days into their illness. The median maximum parasite count was 0.4%. One hundred and ninety six patients (25%) had gametocytes; 94 (12%) on admission, and 102 (13%) developing during treatment. Gametocytaemia on admission was associated with anaemia and a lower maximum parasitaemia. Patients with gametocytes at presentation were less likely to have thrombocytopenia or severe malaria. Patients who developed gametocytes during treatment were more likely to have had parasitaemia of long duration, a high maximum parasitaemia and to have had severe malaria. There was no apparent association between the appearance of gametocytes and treatment regimen.

Conclusions

The development of gametocytaemia in travellers with P. falciparum is associated with factors similar to those reported among populations in endemic areas. These data suggest that acquired immunity to malaria is not the only determinant of patterns of gametocyte carriage among patients with the disease.

Keywords

Falciparum malaria Gametocytes Adult travellers

Background

Gametocytes are the sexual stage of malaria parasites. The generation of male and female gametes is necessary for transmission to the mosquito vector where sexual recombination and generation of new haploid progeny takes place. In acute infection with Plasmodium falciparum, gametocytes arise seven to 15 days after the initial patent parasitaemia and last for a mean of 6.4 (range 2.5–22) days in the circulation, longer than the typical duration of asexual parasitaemia [1]. Factors associated with gametocyte production include the local intensity of malaria transmission [2, 3], the duration of infection, presence of anaemia [4] and other haematological factors such as reticulocyte and lymphocyte counts [5]. Gametocytes are of increasing academic interest as transmission-blocking interventions have been recognized as potentially important tools for malaria control and elimination [69].

Few data have been published on gametocyte carriage among travellers with P. falciparum. Travellers represent an interesting cohort for two reasons. First, they usually present early in the natural history of their disease, and second, they may have little immunity to malaria. This provides an opportunity to analyse the effect of other variables, such as the duration of infection and the impact of disease severity, on the likelihood with which gametocytes are seen. In this study, factors associated with gametocytaemia were assessed among a population of adult travellers with P. falciparum malaria at the Hospital for Tropical Diseases, London, UK.

Methods

The Hospital for Tropical Diseases is a tertiary referral hospital in London. Patients may present directly, by general practitioner referral or as a transfer from another hospital. Demographic details of all patients admitted to the hospital with falciparum malaria are prospectively collected into a database. Patients treated as outpatients were identified by reviewing laboratory records. Further data were collected from laboratory and case note records. All patients diagnosed with P. falciparum between the beginning of January 2001 and end of December 2011 were included. The diagnosis of malaria was made by the UK’s Parasitology Reference Laboratory using standard thick and thin films which were, for those admitted, repeated daily until asexual parasites were no longer seen. Severe malaria was defined according to the unit’s guidelines: parasitaemia >2% and/or the presence of complications [10]. Complications were defined as: cerebral involvement, severe anaemia (Hb <8.0 g/dl), renal failure (creatinine >265 mmol/L), pulmonary oedema, hypoglycaemia, bleeding, disseminated intravascular coagulation and acidosis. The cut-off for severe malaria was a parasitaemia estimate of greater than 2%, by microscopy. This conservative definition, the established guideline for the study facility, is routinely deployed rather than the WHO criteria of 4% parasitaemia. Associations between pairs of binary variables were tested for significance using the c2 distribution. Continuous variables were compared across binary categories using the Wilcoxon rank-sum test. Multivariate logistic regression was performed on those (binary) variables found significantly associated with gametocyte carriage in the univariate tests. All statistical analyses were performed in STATA (version 11; Timberlake Consultants Limited, London, UK). The study was reviewed and approved by the Audit and Research Committee at HTD who stated that, as this was a retrospective case note review, further formal ethical approval was not required.

Results

Eight hundred and twenty-two patients with laboratory-confirmed P. falciparum malaria were identified. Forty-nine of these were under the age of 18 years and were excluded as their biological response to malaria differs from adults. This left a total adult population of 773.

Demographics

Median age was 38 years and 63% were male. Four hundred and sixty five (60%) had been born in a malaria-endemic country and may have had partial immunity to the disease. Two hundred and sixty nine (34.8%) had been born in a country without malaria transmission and were assumed to be malaria-naïve (Table 1). The remainder did not have a country of origin recorded. Most (741, 96%) had travelled to Africa (Figure 1) and had visited relatives in their country of origin (399, 52%) (Figure 2).
Table 1

Population characteristics

Characteristics

N = 773 (%)

Age, years, median (IQR)

38 (30–48)

Male

493 (63%)

UK born

208 (27%)

Admitted to hospital

758 (98%)

Time to presentation, days. median (IQR)

4 (2–7)

Median maximum parasite count (%), (IQR)

0.4% (0.05–2.0)

Severe malaria

364 (47%)

https://static-content.springer.com/image/art%3A10.1186%2F1475-2875-12-31/MediaObjects/12936_2012_Article_2659_Fig1_HTML.jpg
Figure 1

Area of travel.

https://static-content.springer.com/image/art%3A10.1186%2F1475-2875-12-31/MediaObjects/12936_2012_Article_2659_Fig2_HTML.jpg
Figure 2

Reason for travel.

Malaria infection

Relatively few patients had taken appropriate anti-malarial prophylaxis (Table 2). Median time from onset of symptoms to presentation was four days (IQR 2–7). The median maximum parasite count was 0.4% (IQR 0.05–2.00). Most (758, 98%) were admitted to hospital. A large proportion (364, 47%) had at least one marker of severe disease. One hundred and ninety six patients (25%) had gametocytes identified in peripheral blood smears at one or more time points, 94 (12%) of these harboured gametocytes at presentation while 102 (13%) developed gametocytaemia during treatment.
Table 2

Factors associated with gametocytaemia at presentation

 

Gametocytes at presentation

No gametocytes at presentation

P value of Z score

P value (95% CI of odds ratio)

N = 94 (12.8%)

N = 639 (81.2%)

Duration of illness, days median (IQR)

5 (2-9)

4 (2-6)

0.0303

-

Length of stay in malarious country, days, median (IQR)

29 (19-45)

24 (14-43)

0.3194

-

Maximum parasitaemia, % median (IQR)

0.15 (0.02-1.18)

0.4 (0.05-2.35)

0.0047

-

Anaemia n (%)

57 (61)

235 (36)

-

<0.0005 (1.361-1.998)

Severe anaemia (Hb < 8 g/dl), n (%)

6 (6.4)

16 (2.5)

-

0.045 (1.023-6.352)

Thrombocytopenia, n (%)

52 (55)

495 (76)

-

<0.0005 (0.593-0.860)

Raised bilirubin, n (%)

43 (46)

306 (47)

-

0.702 (0.756-1.208)

Severe malaria, n (%)

35 (37)

318 (49)

-

0.039 (0.570-0.985)

Born in a malarious country, n (%)

59 (63)

390 (60)

-

0.485 (0.743-1.121)

Prophylaxis taken, n (%)

17 (18)

140 (21.4)

-

0.408 (0.524-1.300)

Gametocytes at presentation

Patients who had gametocytaemia at presentation were more likely to have been ill for longer, to be anaemic and to have a normal platelet count (Table 2). In addition, they were more likely to have a lower parasitaemia and less likely to have severe disease. The presence of gametocytes at presentation did not appear to be influenced by anti-malarial chemoprophylaxis. There was no discernible difference in the rate of gametocytaemia at presentation between those assumed to have partial immunity and those who were malaria-naïve. The time to presentation at a medical facility was no different in naïve patients (Tables 3).
Table 3

Factors associated with gametocytaemia at presentation to hospital in malaria naïve patients

 

Gametocytes at presentation

No gametocytes at presentation

P value of Z score

P value (95% CI of odds ratio)

N = 34 (12.6%)

N = 235 (87.4%)

Duration of illness, days median (IQR)

4 (2-8)

3 (2-6)

0.224

-

Maximum parasitaemia measured (%), median (IQR)

0.3 (0.08 - 3.0)

0.5 (0.02 - 1.75)

0.046

-

Anaemia of any degree, n (%)

24 (71)

99 (40)

-

<0.0005 (1.29 - 2.18)

Severe anaemia (Hb < 8 g/dl), n (%)

2 (6)

7 (3)

-

0.383 (0.428-9.118)

Thrombocytopenia, n (%)

19 (56)

198 (80)

-

0.008 (0.490-0.899)

Raised bilirubin, n (%)

11 (32)

112 (45)

-

0.132 (0.410-1.124)

Severe malaria, n (%)

10 (29)

139 (56)

-

0.010 (0.292-0.846)

Prophylaxis taken, n (%)

9 (27)

51 (21)

-

0.524 (0.662-2.246)

Multivariate logistic regression was performed with five parameters significantly associated with the presence of gametocytes at presentation (in decreasing order of apparent strength of association): anaemia, thrombocytopenia, asexual parasitaemia, duration of illness and severe anaemia (Tables 2 and 3). The continuous variables asexual parasitaemia and duration of illness were converted to binary variables for this analysis using the median as the cut-off in each case (0.4% parasitaemia and 4 days, respectively). Anaemia (OR 2.60, 95% CI 1.59 – 4.24; P <0.001), thrombocytopenia (OR 0.50, 95% CI 0.30 – 0.83; P = 0.007) and duration of illness (OR 1.77, 95% CI 1.10 – 2.82; P = 0.018) remained associated with the presence of gametocytes at the time of presentation.

Gametocytes developing on treatment

Those who developed gametocytes during treatment were more likely to have presented with a higher parasitaemia and to have at least one marker of severe disease compared to those who did not (Table 4). In addition, these patients tended to have had asexual parasites for longer.
Table 4

Factors associated with development of gametocytaemia on treatment in univariate analysis 1

 

Gametocytes on treatment

No gametocytes on treatment

P

N = 102 (15.6%)

N = 551 (84.4%)

Maximum parasitaemia measured (%), median (IQR)

1.0 (0.115-6.325)

0.4 (0.05-2.00)

0.0002*

Duration parasitaemia, days median (IQR)

5 (4-6)

3 (0.05-4)

<0.0001*

Thrombocytopenia proportion

85.3%

75.4%

0.030**

Anaemia proportion

63.7%

31.4%

<0.001**

Severe malaria, n (%)

60 (58.8)

260 (47.2)

0.017**

1 94 individuals who were gametocytaemic at presentation were excluded from this analysis.

* Wilcoxon rank-sum test.

** c2 test.

Most patients (643, 83%) were treated with quinine. Artemisinin treatment was postulated to be associated with a lower rate of gametocytaemia development post-treatment. No evidence was found to support this among the 54 patients receiving an artemisinin-containing regimen (p = 0.226). However, this analysis was confounded by the fact that patients treated with artemisinins were more likely to be severe malaria cases (OR 2.80, 95% CI 1.42 - 5.81; p = 0.001) and those with severe malaria were independently more likely to develop gametocytaemia following anti-malarial treatment (Table 4).

Multivariate logistic regression was performed for the parameters showing significant association with development of gametocytaemia during treatment in univariate analysis (Table 4). These were: duration of parasitaemia (median cut-off: 4 days), anaemia, thrombocytopenia, severe malaria and asexual parasitaemia. Of these parameters, duration of parasitaemia (OR 1.48, 95% CI 1.25 – 1.75; P < 0.001) and the presence of any degree of anaemia (OR 3.13, 95% CI 1.91 – 5.13; P < 0.001) remained significantly associated with development of peripheral gametocytaemia.

Discussion

Patients with gametocytes seen on their peripheral blood film fall into two groups: those who have gametocytaemia at presentation and those who develop gametocytaemia during treatment. It was postulated that those who have gametocytaemia at presentation would be more likely to have been ill for longer; analysis of the data supported this, in both the duration of symptoms and the haematological findings. These patients were more likely to be anaemic (associated with longer illness) and less likely to have thrombocytopenia (associated with acute illness) than those who did not have gametocytes at presentation. The data also suggest that despite the chronicity of their illness, these patients were less unwell; they tended to have a lower parasitaemia and fewer of them had any markers of severe malaria.

There are two principal explanations for the ability of some patients to tolerate malarial infection for longer without becoming unwell. One is the use of partially effective infrequent anti-malarial chemoprophylaxis, which may attenuate an infection without clearing it. The other is previous exposure to malaria, which may induce acquired immunity. There was no demonstrable association between prophylaxis use (either complete or incomplete) and gametocytaemia at presentation. It is well documented that immunity to P. falciparum develops among children who live in highly endemic areas and survive repeated infections [11, 12]. It may be reasonable to assume that patients who grew up in malaria-endemic parts of the world and then migrated to the UK may have some residual, but incomplete, immunity to the disease and may therefore be more likely to tolerate a subsequent infection. However, there was no discernible relationship between being born in an endemic country and having gametocytes at presentation.

Patients who have not grown up in an endemic area are usually considered to be malaria-naïve. Intuitively, this group may be considered at greater risk of severe disease and less likely to tolerate malaria infection. However, this group had a similar rate of gametocytaemia at presentation and were no more likely to have markers of severe disease. In this group, factors associated with gametocytaemia (severity of disease, anaemia, thrombocytopenia, etc) mirrored the findings from studies in endemic areas. In a three-centre study, gametocytaemia at presentation was seen in 35% of cases from Thailand, 37% of cases from The Gambia and 26% of cases from Tanzania [13]. The rate of gametocytaemia reported here for the naive group was lower than all of these estimates at 12.6%. Time to presentation was no different in those who did and did not have gametocytaemia at presentation in this group, suggesting that gametocytaemia at presentation is not related to a delay in presentation to medical services.

The data indicate that although previous exposure may be important in determining which patients present with gametocytaemia, this is not the full explanation. It seems conceivable that some form of innate immunity may also play a role in modulating the nature of the illness and the likelihood of gametocytes being present early in the clinical disease. A number of factors have been associated with the potential to protect against severe complications of malaria, but contribute towards anaemia, such as sickle cell trait [14]. However, what has been observed here may be independent of such factors. These findings are consistent with the limited published data on immunity to circulating sexual stages of P. falciparum, which indicate that previous infection history is a much less critical factor than it is for immune modulation of asexual parasitaemia [9, 12, 15].

The emergence of circulating gametocytes in patients receiving anti-malarial treatment has been associated with the time taken to clear asexual parasites from the peripheral circulation [16]. The data presented here corroborate this, in that patients who had a longer period of parasitaemia, who started with a higher parasitaemia and who had severe malaria were more likely to develop gametocytes. High parasitaemia and severe malaria are not independent variables and, unsurprisingly, in multivariate analysis severe malaria did not remain significantly associated with gametocyte emergence during treatment. Artemisinin compounds clear parasitaemia more rapidly than other anti-malarial drugs and are also gametocytocidal [17, 18]. It was anticipated that treatment with artemisinins would reduce the prevalence of gametocytaemia. This was not supported by the data, although the analysis was confounded by the fact that artemisinin therapy was more likely to be used for patients with higher parasite counts.

Conclusion

No evidence was found that gametocyte carriage among adult malaria patients in the UK was related to previous exposure to malaria. This suggests that acquired immunity alone is not the sole determinant of gametocyte emergence in clinical cases.

Declarations

Acknowledgements

The authors are grateful to all staff at the Hospital for Tropical Diseases involved in the care of patients. Spencer Polley provided assistance with data management. Chris Whitty is thanked for his help with reviewing the data.

We are grateful to Robin Bailey, Mike Brown, Philip Gothard, Alison Grant, Diana Lockwood, David Mabey, David Moore, Stephen Wright, and all our colleagues at HTD who helped care for these patients.

Financial support

This study was supported by the Special Trustees of the Hospital for Tropical Diseases and the University College London Hospitals Comprehensive Biomedical Research Centre Infection Theme. MA is supported by The Special Trustees of the Hospital for Tropical Diseases. CJS is supported by the UK Health Protection Agency. The funding agencies had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Authors’ Affiliations

(1)
Hospital for Tropical Diseases, Mortimer Market Centre
(2)
Department of Clinical Parasitology, Hospital for Tropical Diseases, Mortimer Market Centre
(3)
Faculty of Infectious & Tropical Diseases, London School of Hygiene and Tropical Medicine

References

  1. Bousema T, Okell L, Shekalaghe S, Griffin JT, Omar S, Sawa P, Sutherland C, Sauerwein R, Ghani AC, Drakeley CJ: Revisiting the circulation time of Plasmodium falciparum gametocytes: molecular detection methods to estimate the duration of gametocyte carriage and the effect of gametocytocidal drugs. Malar J. 2010, 9: 136-10.1186/1475-2875-9-136.PubMed CentralView ArticlePubMedGoogle Scholar
  2. Boudin C, Lyannaz J, Bosseno MF, Carnevale P, Ambroise-Thomas P: Epidemiology of Plasmodium falciparum in a rice field and a savannah area in Burkina Faso: seasonal fluctuations of gametocytaemia and malarial infectivity. Ann Trop Med Parasitol. 1991, 85: 377-385.PubMedGoogle Scholar
  3. Gamage-Mendis AC, Rajakaruna J, Carter R, Mendis KN: Infectious reservoir of Plasmodium vivax and Plasmodium falciparum malaria in an endemic region of Sri Lanka. Am J Trop Med Hyg. 1991, 45: 479-487.PubMedGoogle Scholar
  4. Price R, Nosten F, Simpson JA, Luxemburger C, Phaipun L, Kuile F, van Vugt M, Chongsuphajaisiddhi T, White NJ: Risk factors for gametocyte carriage in uncomplicated falciparum malaria. Am J Trop Med Hyg. 1999, 60: 1019-1023.PubMedGoogle Scholar
  5. Drakeley CJ, Secka I, Correa S, Greenwood BM, Targett GA: Host haematological factors influencing the transmission of Plasmodium falciparum gametocytes to Anopheles gambiae s.s. mosquitoes. Trop Med Int Health. 1999, 4: 131-138. 10.1046/j.1365-3156.1999.00361.x.View ArticlePubMedGoogle Scholar
  6. Sutherland CJ, Alloueche A, Curtis J, Drakeley CJ, Ord R, Duraisingh M, Greenwood BM, Pinder M, Warhurst D, Tragett GA: Gambian children successfully treated with chloroquine can harbour and transmit Plasmodium falciparum carrying resistance genes. Am J Trop Med Hyg. 2002, 67: 578-585.PubMedGoogle Scholar
  7. Hallett RL, Dunyo S, Ord R, Jawara M, Pinder M, Randall A, Alloueche A, Walraven G, Targett GA, Alexander N, Sutherland CJ: Chloroquine/sulfadoxine-pyrimethamine for Gambian children with malaria: transmission to mosquitoes of multidrug-resistant Plasmodium falciparum. PLoS Clin Trials. 2006, 1: e15-10.1371/journal.pctr.0010015.PubMed CentralView ArticlePubMedGoogle Scholar
  8. Blagborough AM, Sinden RE: Plasmodium berghei HAP2 induces strong malaria transmission-blocking immunity in vivo and in vitro. Vaccine. 2009, 27: 5187-5194. 10.1016/j.vaccine.2009.06.069.View ArticlePubMedGoogle Scholar
  9. Bousema T, Drakeley C: Epidemiology and infectivity of Plasmodium falciparum and Plasmodium vivax gametocytes in relation to malaria control and elimination. Clin Microbiol Rev. 2011, 24: 377-410. 10.1128/CMR.00051-10.PubMed CentralView ArticlePubMedGoogle Scholar
  10. Guidelines for Doctors. “Guidelines are guidelines, not tablets of stone”.http://www.thehtd.org/Guidelines%20for%20Doctors%202012.pdf,
  11. Paul RE, Bonnet S, Boudin C, Tchuinkam T, Robert V: Age, structured gametocyte allocation links immunity to epidemiology in malaria parasites. Malar J. 2007, 6: 123-10.1186/1475-2875-6-123.PubMed CentralView ArticlePubMedGoogle Scholar
  12. Ouedraogo AL, Bousema T, de Vlas SJ, Cuzin-Ouattara N, Verhave JP, Drakeley C, Luty AJ, Sauerwein R: The plasticity of Plasmodium falciparum gametocytaemia in relation to age in Burkina Faso. Malar J. 2010, 9: 281-10.1186/1475-2875-9-281.PubMed CentralView ArticlePubMedGoogle Scholar
  13. Stepniewska K, Price RN, Sutherland CJ, Drakeley CJ, von Seidlein L, Nosten F, White NJ: Plasmodium falciparum gametocyte dynamics in areas of different malaria endemnicity. Malar J. 2008, 7: 249-10.1186/1475-2875-7-249.PubMed CentralView ArticlePubMedGoogle Scholar
  14. Buffet PA, Safeukui I, Deplaine G, Brousse V, Prendki V, Thellier M, Turner GD, Mercereau-Puijalon O: The pathogenesis of Plasmodium falciparum malaria in humans: insights from splenic physiology. Blood. 2011, 117: 381-392. 10.1182/blood-2010-04-202911.PubMed CentralView ArticlePubMedGoogle Scholar
  15. Saeed M, Roeffen W, Alexander N, Drakeley CJ, Targett GAT, Sutherland CJ: Plasmodium falciparum antigens on the surface of the gametocyte-infected erythrocyte. PLoS One. 2008, 3: e2280-10.1371/journal.pone.0002280.PubMed CentralView ArticlePubMedGoogle Scholar
  16. Sowunmi A, Adedeji AA, Fateye BA, Babalola CP: Risk factors for gametocyte carriage in uncomplicated falciparum malaria in children. Parasitology. 2004, 129: 255-10.1017/S0031182004005669.View ArticlePubMedGoogle Scholar
  17. Peatey CL, Leroy D, Gardiner DL, Trenholme KR: Anti-malarial drugs: how effective are they against Plasmodium falciparum gametocytes. Malar J. 2012, 11: 34-10.1186/1475-2875-11-34.PubMed CentralView ArticlePubMedGoogle Scholar
  18. Sowunmi A, Okuboyejo TM, Gbotosho GO, Happi CT: Risk factors for gametocyte carriage in uncomplicated falciparum malaria in children before and after artemisinin-based combination treatments. Chemotherapy. 2011, 57: 497-504. 10.1159/000334126.View ArticlePubMedGoogle Scholar

Copyright

© Roberts et al.; licensee BioMed Central Ltd. 2013

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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