Nanobody-mediated targeting of Plasmodium falciparum PfPIMMS43 can block malaria transmission in mosquitoes
Abstract The transition from ookinete to oocyst is a critical step in the Plasmodium falciparum lifecycle and an important target for malaria transmission-blocking strategies. PfPIMMS43, a surface protein of P. falciparum ookinetes and sporozoites, is critical for this transition and aids the parasi...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-025-08033-8 |
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| Summary: | Abstract The transition from ookinete to oocyst is a critical step in the Plasmodium falciparum lifecycle and an important target for malaria transmission-blocking strategies. PfPIMMS43, a surface protein of P. falciparum ookinetes and sporozoites, is critical for this transition and aids the parasite in evading mosquito immune responses. Previous studies demonstrated that polyclonal PfPIMMS43 antibodies reduced P. falciparum infection in Anopheles mosquitoes. Here, building on these findings, we have developed high-affinity single-domain VHH antibodies (nanobodies) derived from llama heavy-chain-only antibodies. We have shown that these nanobodies bind both recombinant and endogenous PfPIMMS43 produced by P. falciparum ookinetes in the mosquito midgut. Importantly, they significantly reduce infection intensity and prevalence of laboratory and field strains of P. falciparum in An. coluzzii and An. gambiae, respectively. Epitope mapping has revealed that the nanobodies target conserved regions in the second half of PfPIMMS43, with homology modelling confirming epitope accessibility. These findings establish PfPIMMS43 as a promising transmission-blocking target. To enhance malaria control and elimination efforts, we propose an innovative strategy in which genetically modified mosquitoes express PfPIMMS43-specific nanobodies in their midguts and spread this trait in wild mosquito populations via gene drive technology. |
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| ISSN: | 2399-3642 |