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Abstract

In Africa, the clearance time for severe malaria varies significantly, likely due to the complexity of infections and the sequestration phenomenon exhibited by this parasite. This study aims to evaluate different methods to study the intra-host dynamics of polyclonal infections during parasite clearance under antimalarial treatment. Additionally, it seeks to determine the association between parasite clearance rate following artesunate or quinine treatment and the genetic complexity of in Beninese children with severe malaria.

Sixty-five severe malaria individuals diagnosed by microscopy and treated with artesunate or quinine were sampled every 8 h for 24 h. Using whole-genome sequencing (WGS) data, we estimated the multiplicity of infection (MOI) with three algorithms (, THE REAL McCOIL and RoH). We then characterized the genetic complexity in WGS-identified polyclonal infections using amplicon sequencing (AmpSeq) on DNA extracted from plasma and the red blood cell pellet.

AmpSeq demonstrated greater sensitivity in detecting multiple genomes within isolates compared to WGS methods. The MOI from AmpSeq was significantly higher in red blood cell pellets compared to plasma (2.4 vs. 1.8 distinct microhaplotypes per isolate). However, at parasitaemia over 1,000 parasites per microlitre, the same MOI was detected in both plasma and pellet samples in 85.4% of the isolates. We observed a high variability in parasite clearance rate among participants, but it was not associated with parasite MOI at diagnosis. Interestingly, in 60.9% of participants, previously undetected microhaplotypes appeared in circulation 16 h after treatment initiation.

These findings demonstrate that combining different haplotyping techniques effectively determines parasite genetic complexity. Additionally, plasma can be effectively used for parasite genotyping at sufficient parasitaemia levels. The parasite clearance rate of severe malaria is independent of parasite MOI. However, genotyping a single blood sample upon hospital admission does not capture the full spectrum of parasite genotypes present in the infection.

Funding
This study was supported by the:
  • ParaFrap
    • Principle Award Recipient: AntoineClaessens
  • CNRS
    • Principle Award Recipient: AntoineClaessens
  • Institut Mérieux
    • Principle Award Recipient: GwladysBertin
  • Agence Nationale de la Recherche (Award 18‐CE15‐0009‐01)
    • Principle Award Recipient: AntoineClaessens
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License.
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/content/journal/mgen/10.1099/mgen.0.001386
2025-05-09
2025-05-18
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References

  1. White NJ. Severe malaria. Malar J 2022; 21:284 [View Article] [PubMed]
    [Google Scholar]
  2. WHO Management of Severe Malaria: A Practical Handbook, 3rd ed Geneva: World Health Organization; 2012
    [Google Scholar]
  3. Dondorp AM, Fanello CI, Hendriksen ICE, Gomes E, Seni A et al. Artesunate versus quinine in the treatment of severe falciparum malaria in African children (AQUAMAT): an open-label, randomised trial. Lancet 2010; 376:1647–1657 [View Article] [PubMed]
    [Google Scholar]
  4. Phyo AP, Nosten F, Phyo AP, Nosten F. The artemisinin resistance in Southeast Asia: an imminent global threat to malaria elimination. In Towards Malaria Elimination - A Leap Forward IntechOpen; 2018 [View Article] [PubMed]
    [Google Scholar]
  5. van der Pluijm RW, Imwong M, Chau NH, Hoa NT, Thuy-Nhien NT et al. Determinants of dihydroartemisinin-piperaquine treatment failure in Plasmodium falciparum malaria in Cambodia, Thailand, and Vietnam: a prospective clinical, pharmacological, and genetic study. Lancet Infect Dis 2019; 19:952–961 [View Article] [PubMed]
    [Google Scholar]
  6. Assefa A, Fola AA, Tasew G. Emergence of Plasmodium falciparum strains with artemisinin partial resistance in East Africa and the horn of Africa: is there a need to panic?. Malar J 2024; 23:34 [View Article] [PubMed]
    [Google Scholar]
  7. Balikagala B, Fukuda N, Ikeda M, Katuro OT, Tachibana S-I et al. Evidence of artemisinin-resistant malaria in Africa. N Engl J Med 2021; 385:1163–1171 [View Article] [PubMed]
    [Google Scholar]
  8. Ariey F, Witkowski B, Amaratunga C, Beghain J, Langlois A-C et al. A molecular marker of artemisinin-resistant Plasmodium falciparum malaria. Nature 2014; 505:50–55 [View Article] [PubMed]
    [Google Scholar]
  9. Kpemasse A, Dagnon F, Saliou R, Yarou Maye AS, Affoukou CD et al. Efficacy of artemether-lumefantrine for the treatment of Plasmodium falciparum malaria in bohicon and kandi, Republic of benin, 2018-2019. Am J Trop Med Hyg 2021; 105:670–676 [View Article] [PubMed]
    [Google Scholar]
  10. L’Episcopia M, Doderer-Lang C, Perrotti E, Priuli GB, Cavallari S et al. Polymorphism analysis of drug resistance markers in Plasmodium falciparum isolates from Benin. Acta Trop 2023; 245:106975 [View Article] [PubMed]
    [Google Scholar]
  11. Ataide R, Ashley EA, Powell R, Chan J-A, Malloy MJ et al. Host immunity to Plasmodium falciparum and the assessment of emerging artemisinin resistance in a multinational cohort. Proc Natl Acad Sci USA 2017; 114:3515–3520 [View Article] [PubMed]
    [Google Scholar]
  12. Intharabut B, Kingston HW, Srinamon K, Ashley EA, Imwong M et al. Artemisinin resistance and stage dependency of parasite clearance in falciparum malaria. J Infect Dis 2019; 219:1483–1489 [View Article] [PubMed]
    [Google Scholar]
  13. WWARN Parasite Clearance Study Group Abdulla S, Ashley EA, Bassat Q, Bethell D et al. Baseline data of parasite clearance in patients with falciparum malaria treated with an artemisinin derivative: an individual patient data meta-analysis. Malar J 2015; 14:359 [View Article] [PubMed]
    [Google Scholar]
  14. Kyabayinze DJ, Karamagi C, Kiggundu M, Kamya MR, Wabwire-Mangen F et al. Multiplicity of Plasmodium falciparum infection predicts antimalarial treatment outcome in ugandan children. Afr Health Sci 2008; 8:200–205 [PubMed]
    [Google Scholar]
  15. Topazian HM, Moser KA, Ngasala B, Oluoch PO, Forconi CS et al. Low complexity of infection is associated with molecular persistence of Plasmodium falciparum in Kenya and Tanzania. Front Epidemiol 2022; 2:852237 Epub ahead of print 6 June 2022 [View Article] [PubMed]
    [Google Scholar]
  16. Cunnington AJ, Bretscher MT, Nogaro SI, Riley EM, Walther M. Comparison of parasite sequestration in uncomplicated and severe childhood Plasmodium falciparum malaria. J Infect 2013; 67:220–230 [View Article] [PubMed]
    [Google Scholar]
  17. Dondorp AM, Desakorn V, Pongtavornpinyo W, Sahassananda D, Silamut K et al. Estimation of the total parasite biomass in acute falciparum malaria from plasma PfHRP2. PLoS Med 2005; 2:e204 [View Article] [PubMed]
    [Google Scholar]
  18. Fukuda N, Balikagala B, Ueno T, Anywar DA, Kimura E et al. The Impact of sequestration on artemisinin-induced parasite clearance in Plasmodium falciparum malaria in Africa. Clin Infect Dis 2023; 76:1585–1593 [View Article] [PubMed]
    [Google Scholar]
  19. White NJ. The parasite clearance curve. Malar J 2011; 10:278 [View Article] [PubMed]
    [Google Scholar]
  20. Imwong M, Stepniewska K, Tripura R, Peto TJ, Lwin KM et al. Numerical distributions of parasite densities during asymptomatic malaria. J Infect Dis 2016; 213:1322–1329 [View Article] [PubMed]
    [Google Scholar]
  21. Lamikanra AA, Dobaño C, Jiménez A, Nhabomba A, Tsang HP et al. A direct comparison of real time PCR on plasma and blood to detect Plasmodium falciparum infection in children. Malar J 2012; 11:201 [View Article] [PubMed]
    [Google Scholar]
  22. Sambe BS, Diagne A, Diatta HAM, Gaba FM, Sarr I et al. Molecular detection and quantification of Plasmodium vivax DNA in blood pellet and plasma samples from patients in Senegal. Front Parasitol 2023; 2:1149738 Epub ahead of print 24 April 2023 [View Article] [PubMed]
    [Google Scholar]
  23. Ruybal-Pesántez S, McCann K, Vibin J, Siegel S, Auburn S et al. Molecular markers for malaria genetic epidemiology: progress and pitfalls. Trends Parasitol 2024; 40:147–163 [View Article] [PubMed]
    [Google Scholar]
  24. Manske M, Miotto O, Campino S, Auburn S, Almagro-Garcia J et al. Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing. Nature 2012; 487:375–379 [View Article] [PubMed]
    [Google Scholar]
  25. Chang H-H, Worby CJ, Yeka A, Nankabirwa J, Kamya MR et al. THE REAL McCOIL: a method for the concurrent estimation of the complexity of infection and SNP allele frequency for malaria parasites. PLoS Comput Biol 2017; 13:e1005348 [View Article] [PubMed]
    [Google Scholar]
  26. Pearson RD, Amato R, Auburn S, Miotto O, Almagro-Garcia J et al. Genomic analysis of local variation and recent evolution in Plasmodium vivax. Nat Genet 2016; 48:959–964 [View Article] [PubMed]
    [Google Scholar]
  27. Lerch A, Koepfli C, Hofmann NE, Messerli C, Wilcox S et al. Development of amplicon deep sequencing markers and data analysis pipeline for genotyping multi-clonal malaria infections. BMC Genom 2017; 18:864 [View Article] [PubMed]
    [Google Scholar]
  28. WHO Methods for Surveillance of Antimalarial Drug Efficacy Genova: World Health Organization; 2009
    [Google Scholar]
  29. Kamaliddin C, Rombaut D, Guillochon E, Royo J, Ezinmegnon S et al. From genomic to LC-MS/MS evidence: Analysis of PfEMP1 in Benin malaria cases. PLoS One 2019; 14:e0218012 [View Article] [PubMed]
    [Google Scholar]
  30. Ahouidi A, Ali M, Almagro-Garcia J, Amambua-Ngwa A, Amaratunga C et al. An open dataset of Plasmodium falciparum genome variation in 7,000 worldwide samples. Wellcome Open Res 2021; 6:42 [View Article]
    [Google Scholar]
  31. Danecek P, Bonfield JK, Liddle J, Marshall J, Ohan V et al. Twelve years of SAMtools and BCFtools. Gigascience 2021; 10:giab008 [View Article] [PubMed]
    [Google Scholar]
  32. Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinforma Oxf Engl 2010; 26:841–842 [View Article] [PubMed]
    [Google Scholar]
  33. Gruenberg M, Lerch A, Beck H-P, Felger I. Amplicon deep sequencing improves Plasmodium falciparum genotyping in clinical trials of antimalarial drugs. Sci Rep 2019; 9:17790 [View Article] [PubMed]
    [Google Scholar]
  34. R Core Team n.d. R: A language and environment for statistical computing.
  35. White NJ. Malaria parasite clearance. Malar J 2017; 16:88 [View Article]
    [Google Scholar]
  36. Jones S, Kay K, Hodel EM, Gruenberg M, Lerch A et al. Should deep-sequenced amplicons become the new gold standard for analyzing malaria drug clinical trials?. Antimicrob Agents Chemother 2021; 65:00437–21 [View Article] [PubMed]
    [Google Scholar]
  37. Wilson DW, Langer C, Goodman CD, McFadden GI, Beeson JG. Defining the timing of action of antimalarial drugs against Plasmodium falciparum. Antimicrob Agents Chemother 2013; 57:1455–1467 [View Article] [PubMed]
    [Google Scholar]
  38. Chotivanich K, Udomsangpetch R, McGready R, Proux S, Newton P et al. Central role of the spleen in malaria parasite clearance. J Infect Dis 2002; 185:1538–1541 [View Article] [PubMed]
    [Google Scholar]
  39. Udomsangpetch R, Pipitaporn B, Krishna S, Angus B, Pukrittayakamee S et al. Antimalarial drugs reduce cytoadherence and rosetting Plasmodium falciparum. J Infect Dis 1996; 173:691–698 [View Article] [PubMed]
    [Google Scholar]
  40. Paris L, Tackie RG, Beshir KB, Tampuori J, Awandare GA et al. Parasite clearance dynamics in children hospitalised with severe malaria in the ho teaching hospital, volta region, Ghana. Parasite Epidemiol Control 2022; 19:e00276 [View Article] [PubMed]
    [Google Scholar]
  41. Mideo N, Bailey JA, Hathaway NJ, Ngasala B, Saunders DL et al. A deep sequencing tool for partitioning clearance rates following antimalarial treatment in polyclonal infections. Evol Med Public Health 2016; 2016:21–36 [View Article] [PubMed]
    [Google Scholar]
  42. Wamae K, Kimenyi KM, Osoti V, de Laurent ZR, Ndwiga L et al. Amplicon sequencing as a potential surveillance tool for complexity of infection and drug resistance markers in Plasmodium falciparum asymptomatic infections. J Infect Dis 2022; 226:920–927 [View Article] [PubMed]
    [Google Scholar]
  43. Carlsson AM, Ngasala BE, Dahlström S, Membi C, Veiga IM et al. Plasmodium falciparum population dynamics during the early phase of anti-malarial drug treatment in Tanzanian children with acute uncomplicated malaria. Malar J 2011; 10:380 [View Article] [PubMed]
    [Google Scholar]
  44. Marks F, von Kalckreuth V, Kobbe R, Adjei S, Adjei O et al. Parasitological rebound effect and emergence of pyrimethamine resistance in Plasmodium falciparum after single-dose sulfadoxine-pyrimethamine. J Infect Dis 2005; 192:1962–1965 [View Article] [PubMed]
    [Google Scholar]
  45. Flegg JA, Guerin PJ, White NJ, Stepniewska K. Standardizing the measurement of parasite clearance in falciparum malaria: the parasite clearance estimator. Malar J 2011; 10:339 [View Article] [PubMed]
    [Google Scholar]
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