Abstract

Plasmodium sporozoites actively migrate in the dermis and enter blood vessels to infect the liver. Despite their importance for malaria infection, little is known about these cutaneous processes. We combine intravital imaging in a rodent malaria model and statistical methods to unveil the parasite strategy to reach the bloodstream. We determine that sporozoites display a high-motility mode with a superdiffusive Lévy-like pattern known to optimize the location of scarce targets. When encountering blood vessels, sporozoites frequently switch to a subdiffusive low-motility behavior associated with probing for intravasation hotspots, marked by the presence of pericytes. Hence, sporozoites present anomalous diffusive motility, alternating between superdiffusive tissue exploration and subdiffusive local vessel exploitation, thus optimizing the sequential tasks of seeking blood vessels and pericyte-associated sites of privileged intravasation.

Plasmodium sporozoites actively migrate in the dermis and enter blood vessels to induce infection. Here, Formaglio et al. show that Plasmodium sporozoites alternate global superdiffusive skin exploration and local subdiffusive blood vessel exploitation to find intravasation hotspots associated with pericytes, enter the blood circulation and start malaria infection.

Details

Title
Plasmodium sporozoite search strategy to locate hotspots of blood vessel invasion
Author
Formaglio, Pauline 1 ; Wosniack, Marina E. 2 ; Tromer, Raphael M. 3 ; Polli, Jaderson G. 4   VIAFID ORCID Logo  ; Matos, Yuri B. 4 ; Zhong, Hang 1 ; Raposo, Ernesto P. 5 ; da Luz, Marcos G. E. 4 ; Amino, Rogerio 1   VIAFID ORCID Logo 

 Université Paris Cité, Malaria Infection and Immunity Unit, Institut Pasteur, Paris, France (GRID:grid.508487.6) (ISNI:0000 0004 7885 7602) 
 Max Planck Institute for Brain Research, Frankfurt, Germany (GRID:grid.419505.c) (ISNI:0000 0004 0491 3878) 
 Universidade Federal do Rio Grande do Norte, Departamento de Física Teórica e Experimental, Natal-RN, Brazil (GRID:grid.411233.6) (ISNI:0000 0000 9687 399X) 
 Universidade Federal do Paraná, Departamento de Física, Curitiba-PR, Brazil (GRID:grid.20736.30) (ISNI:0000 0001 1941 472X) 
 Universidade Federal de Pernambuco, Laboratório de Física Teórica e Computacional, Departamento de Física, Recife-PE, Brazil (GRID:grid.411227.3) (ISNI:0000 0001 0670 7996) 
Pages
2965
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2817942298
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.