1. Plasmodium knowlesi: a superb in vivo nonhuman primate model of antigenic variation in malaria
- Author
-
GALINSKI, MR, LAPP, SA, PETERSON, MS, AY, F, JOYNER, CJ, LE ROCH, KG, FONSECA, LL, and VOIT, EO
- Subjects
Veterinary Sciences ,Agricultural ,Veterinary and Food Sciences ,Biological Sciences ,Microbiology ,Malaria ,Vector-Borne Diseases ,Infectious Diseases ,Biotechnology ,Rare Diseases ,Infection ,Good Health and Well Being ,Animals ,Antigenic Variation ,Disease Models ,Animal ,Macaca ,Plasmodium knowlesi ,Protozoan Proteins ,Systems Biology ,SIC Avar genes ,var genes ,Plasmodium falciparum ,epigenetics ,mathematical models ,systems biology ,multiomics ,host-pathogen interactions ,longitudinal infections ,macaques ,MAHPIC CONSORTIUM ,Plasmodium falciparum ,SICAvar genes ,var genes ,host–pathogen interactions ,multi-omics ,Mycology & Parasitology ,Veterinary sciences - Abstract
Antigenic variation in malaria was discovered in Plasmodium knowlesi studies involving longitudinal infections of rhesus macaques (M. mulatta). The variant proteins, known as the P. knowlesi Schizont Infected Cell Agglutination (SICA) antigens and the P. falciparum Erythrocyte Membrane Protein 1 (PfEMP1) antigens, expressed by the SICAvar and var multigene families, respectively, have been studied for over 30 years. Expression of the SICA antigens in P. knowlesi requires a splenic component, and specific antibodies are necessary for variant antigen switch events in vivo. Outstanding questions revolve around the role of the spleen and the mechanisms by which the expression of these variant antigen families are regulated. Importantly, the longitudinal dynamics and molecular mechanisms that govern variant antigen expression can be studied with P. knowlesi infection of its mammalian and vector hosts. Synchronous infections can be initiated with established clones and studied at multi-omic levels, with the benefit of computational tools from systems biology that permit the integration of datasets and the design of explanatory, predictive mathematical models. Here we provide an historical account of this topic, while highlighting the potential for maximizing the use of P. knowlesi - macaque model systems and summarizing exciting new progress in this area of research.
- Published
- 2018