PreprintCited by 35Malaria Research and ControlMonoclonal and Polyclonal Antibodies ResearchBlood groups and transfusion

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Broadly inhibitory antibodies against severe malaria virulence proteins

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Preprint — published as 10.1038/s41586-024-08220-3 · Paper page

Abstract

Plasmodium falciparum pathology is driven by the accumulation of parasite-infected erythrocytes in microvessels. This process is mediated by the parasite’s polymorphic erythrocyte membrane protein 1 (PfEMP1) adhesion proteins. A subset of PfEMP1 variants that bind human endothelial protein C receptor (EPCR) through their CIDRα1 domains is responsible for severe malaria pathogenesis. A longstanding question is whether individual antibodies can recognize the large repertoire of circulating PfEMP1 variants. Here, we describe two broadly reactive and binding-inhibitory human monoclonal antibodies against CIDRα1. The antibodies isolated from two different individuals exhibited a similar and consistent EPCR-binding inhibition of 34 CIDRα1 domains, representing five of the six subclasses of CIDRα1. Both antibodies inhibited EPCR binding of both recombinant full-length and native PfEMP1 proteins as well as parasite sequestration in bioengineered 3D brain microvessels under physiologically relevant flow conditions. Structural analyses of the two antibodies in complex with two different CIDRα1 antigen variants reveal similar binding mechanisms that depend on interactions with three highly conserved amino acid residues of the EPCR-binding site in CIDRα1. These broadly reactive antibodies likely represent a common mechanism of acquired immunity to severe malaria and offer novel insights for the design of a vaccine or treatment targeting severe malaria.

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Research works printed but not linked: 68

  1. 10.1038/415673a · DOI
  2. 10.1016/0092-8674(95)90054-3 · DOI
  3. 10.1016/0092-8674(95)90056-X · DOI · Paper page
  4. 10.1016/0092-8674(95)90055-1 · DOI · Paper page
  5. 2015, Structural Conservation Despite Huge Sequence Diversity Allows EPCR Binding by the PfEMP1 Family Implicated in Severe Childhood Malaria, Cell Host.Microbe, 17, 118, 10.1016/j.chom.2014.11.007 · DOI
  6. Rask, T.S. , et al., Plasmodium falciparum erythrocyte membrane protein 1 diversity in seven genomes--divide and conquer. PLoS Comput Biol, 2010. 6(9). · DOI
  7. Storm, J. , et al., Cerebral malaria is associated with differential cytoadherence to brain endothelial cells. EMBO Mol Med, 2019. · DOI
  8. 10.1186/s12916-017-0945-y · DOI
  9. 10.15252/emmm.201606188 · DOI
  10. 10.1371/journal.ppat.1006011 · DOI
  11. 2013, Expression of the domain cassette 8 Plasmodium falciparum erythrocyte membrane protein 1 is associated with cerebral malaria in Benin, PLoS.One, 8, e68368, 10.1371/journal.pone.0068368 · DOI
  12. 10.1073/pnas.1120455109 · DOI
  13. 10.1128/IAI.02073-05 · DOI
  14. 10.1016/j.chom.2017.09.009 · DOI
  15. Duffy, F. , et al., Meta-analysis of Plasmodium falciparum var Signatures Contributing to Severe Malaria in African Children and Indian Adults. mBio, 2019. 10(2). · DOI
  16. 10.1371/journal.ppat.1004537 · DOI
  17. Sahu, P.K ., et al., Determinants of brain swelling in pediatric and adult cerebral malaria. JCI Insight, 2021. 6(18). · DOI
  18. 10.1073/pnas.1524294113 · DOI
  19. 10.1038/nature12216 · DOI
  20. 10.1160/TH15-01-0018 · DOI
  21. 10.1111/cmi.12479 · DOI
  22. 10.1016/S0049-3848(16)30364-4 · DOI
  23. Obeng-Adjei, N ., et al., Longitudinal analysis of naturally acquired PfEMP1 CIDR domain variant antibodies identifies associations with malaria protection. JCI Insight, 2020. 5(12). · DOI
  24. 10.1093/infdis/jiy564 · DOI
  25. 10.1128/IAI.00271-15 · DOI
  26. 2023, Natural immunity to malaria preferentially targets the endothelial protein C receptor-binding regions of PfEMP1s, mSphere, 8, e0045123, 10.1128/msphere.00451-23 · DOI
  27. Rask, T.S. , et al., Plasmodium falciparum erythrocyte membrane protein 1 diversity in seven genomes--divide and conquer. PLoS.Comput.Biol., 2010. 6(9). · DOI
  28. Rajan Raghavan, S.S. , et al., Endothelial protein C receptor binding induces conformational changes to severe malaria-associated group A PfEMP1. Structure, 2023. · DOI
  29. 10.1016/j.chom.2014.11.007 · DOI
  30. Bernabeu, M. , et al., Binding Heterogeneity of Plasmodium falciparum to Engineered 3D Brain Microvessels Is Mediated by EPCR and ICAM-1. mBio, 2019. 10(3). · DOI
  31. 2005, Microvascular rheology and hemodynamics. Microcirculation, 12, 5
  32. 10.1084/jem.159.6.1567 · DOI
  33. 10.1126/science.2417315 · DOI
  34. 10.1038/303429a0 · DOI
  35. 10.1016/0166-6851(88)90040-0 · DOI
  36. 10.1128/CMR.00025-08 · DOI
  37. 10.4049/jimmunol.168.7.3444 · DOI · Paper page
  38. 10.1038/nm0398-358 · DOI · Paper page
  39. 10.1016/0035-9203(89)90478-1 · DOI · Paper page
  40. 10.1128/IAI.67.2.733-739.1999 · DOI
  41. 2019, Evolutionary analysis of the most polymorphic gene family in falciparum malaria, Wellcome Open Res, 4, 193, 10.12688/wellcomeopenres.15590.1 · DOI · Paper page
  42. Brazier, A.J. , et al., Pathogenicity Determinants of the Human Malaria Parasite Plasmodium falciparum Have Ancient Origins. mSphere, 2017. 2(1). · DOI
  43. 10.1186/1475-2875-13-111 · DOI
  44. 10.4269/ajtmh.14-0312 · DOI
  45. 10.1073/pnas.1712879115 · DOI
  46. 10.3389/fimmu.2020.594653 · DOI
  47. 10.1038/nm.4512 · DOI
  48. 10.1038/nature12216 · DOI
  49. 10.1186/1475-2875-7-108 · DOI
  50. 10.1016/j.chom.2017.02.009 · DOI
  51. Bachmann, A. and T. Lavstsen , Analysis of var Gene Transcript Patterns by Quantitative Real-Time PCR. Methods Mol Biol, 2022. 2470: p. 149–171. · DOI
  52. 10.1073/pnas.1201240109 · DOI · Paper page
  53. 10.1107/S0907444909047337 · DOI · Paper page
  54. 10.1107/S0907444913000061 · DOI
  55. 10.1107/s2059798319011471 · DOI · Paper page
  56. Emsley, P. and K. Cowtan , Coot: model-building tools for molecular graphics. Acta Crystallogr D Biol Crystallogr, 2004. 60(Pt 12 Pt 1): p. 2126-32. · DOI · Paper page
  57. 2018, ISOLDE: a physically realistic environment for model building into low-resolution electron-density maps, Acta Crystallogr D Struct Biol, 74, 519, 10.1107/S2059798318002425 · DOI
  58. 10.1002/PRO.3943 · DOI
  59. 10.1107/S2052252514009324 · DOI
  60. 10.1038/nmeth.4193 · DOI
  61. 10.1038/nmeth.4169 · DOI · Paper page
  62. 2021, Highly accurate protein structure prediction for the human proteome, Nature, 596, 590, 10.1038/s41586-021-03828-1 · DOI · Paper page
  63. 2023, ImmuneBuilder: Deep-Learning models for predicting the structures of immune proteins, Commun Biol, 6, 575, 10.1038/s42003-023-04927-7 · DOI
  64. 2018, Real-space refinement in PHENIX for cryo-EM and crystallography, Acta Crystallogr D Struct Biol, 74, 531, 10.1107/S2059798318006551 · DOI
  65. Wang, R.Y. , et al., Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta. Elife, 2016. 5. · DOI · Paper page
  66. 10.1021/ci200227u · DOI
  67. 10.1002/jcc.20084 · DOI
  68. 2021, Germline-Dependent Antibody Paratope States and Pairing Specific V(H)-V(L) Interface Dynamics, Front Immunol, 12, 675655, 10.3389/fimmu.2021.675655 · DOI

Metadata

Authors
Reyes, R. A., Raghavan, S. S. R., Hurlburt, N. K., Introini, V., Kana, I. H., Jensen, R. W., Martinez-Scholze, E., Gestal-Mato, M., Bau, C. B., Fernández-Quintero, M. L., Loeffler, J. R., Ferguson, J. A., Lee, W.-H., Martin, G. M., Theander, T. G., Ssewanyana, I., Feeney, M. E., Greenhouse, B., Bol, S., Ward, A. B., Bernabeu, M., Pancera, M., Turner, L., Bunnik, E. M., & Lavstsen, T.
Affiliations
  • The University of Texas at San Antonio Health Science Center (US)
  • Scripps Research Institute (US)
  • Fred Hutch Cancer Center (US)
  • European Molecular Biology Laboratory (ES)
  • University of Copenhagen (DK)
  • Infectious Diseases Research Collaboration (UG)
  • University of California, San Francisco (US)
Corresponding author
  • Turner, Louise
  • Bunnik, Evelien M.
  • Lavstsen, Thomas
Venue
Nature
Publisher
openRxiv
Published
2024-01-25
Volume
636
Issue
8041
Pages
182-189
ISSN
0028-0836 (ISSN-L)
OpenAlex
W4404566626
Cited by
35
References
1
Citations by year
2026: 13 · 2025: 17 · 2024: 5
FWCI
14.50
Type
journal article
Language
en
Open access
Licence
cc-by-nc
Locations
  • Nature (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc)
  • PubMed (publishedVersion)
  • Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, other-oa)
  • PubMed Central (acceptedVersion)
  • PubMed Central (submittedVersion, cc-by-nc)
  • RePEc: Research Papers in Economics (submittedVersion)
  • MPG.PuRe (Max Planck Society) (submittedVersion)
Funders
  • U.S. Department of Energy (-AC02-05CH11231, 05CH11231, DE AC02 05CH11231, DE-AC02-)
  • Cancer Prevention and Research Institute of Texas (RP210126, CA054174)
  • Wellcome Trust
  • European Molecular Biology Laboratory
  • Lundbeckfonden (R344-2020-934)
  • Novo Nordisk
  • Novo Nordisk Fonden (NNF23OC0086433)
  • H. Lundbeck A/S
  • National Institutes of Health (1s10od030432-01a1, DE-AC02–05CH11231, TL1TR002647, 1s10od028581-01, AI089674, CA054174)
  • Office of Science (DEAC02–05CH11231, AC02-05CH11231, DE-AC02)
  • University of Texas Health Science Center at San Antonio (TL1TR002647, P30 CA054174, TR002647)
  • National Cancer Institute (CA-054174, P30CA054174, DE-AC02-05CH11231)
  • National Institute of Allergy and Infectious Diseases (U01AI150741, K23AI076614, AI089674, F31AI169993, R01AI153425, R01AI093615, U19AI089674, K24AI144048)
  • National Center for Advancing Translational Sciences
  • Basic Energy Sciences (DE-AC02, DE-AC02-05CH11231., AC02–05CH11231)
  • H2020 Marie Skłodowska-Curie Actions
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Malaria Research and Control
  • Life Sciences › Immunology and Microbiology › Immunology › Monoclonal and Polyclonal Antibodies Research
  • Health Sciences › Medicine › Hematology › Blood groups and transfusion
Keywords
severe malaria, Plasmodium falciparum, PfEMP1, monoclonal antibodies, endothelial protein C receptor, erythrocyte sequestration, cerebral microvasculature, adaptive immunity, antibody structure, vaccine design, malaria treatment

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