Functional consequences of perturbing polyamine metabolism in the malaria parasite, Plasmodium falciparum.

Inhibition of polyamine biosynthesis and/or the perturbation of polyamine functionality have been exploited with success against parasitic diseases such as Trypanosoma infections. However, when the classical polyamine biosynthesis inhibitor, alpha-difluoromethylornithine, is used against the human malaria parasite, Plasmodium falciparum, it results in only a cytostatic growth arrest. Polyamine metabolism in this parasite has unique properties not shared by any other organism. These include the bifunctional arrangement of the catalytic decarboxylases and an apparent absence of the typical polyamine interconversion pathways implying different mechanisms for the regulation of polyamine homeostasis that includes the uptake of exogenous polyamines at least in vitro. These properties make polyamine metabolism an enticing drug target in P. falciparum provided that the physiological and functional consequences of polyamine metabolism perturbation are understood. This review highlights our current understanding of the biological consequences of inhibition of the biosynthetic enzymes in the polyamine pathway in P. falciparum as revealed by several global analytical approaches. Ultimately, the evidence suggests that polyamine metabolism in P. falciparum is a validated drug target worth exploiting.

Exploring functional genomics for drug target and therapeutics discovery in Plasmodia.

Functional genomics approaches are indispensable tools in the drug discovery arena and have recently attained increased attention in antibacterial drug discovery research. However, the application of functional genomics to post-genomics research of Plasmodia is still in comparatively early stages. Nonetheless, with this genus having the most species sequenced of any eukaryotic organism so far, the Plasmodia could provide unique opportunities for the study of intracellular eukaryotic pathogens. This review presents the status quo of functional genomics of the malaria parasite including descriptions of the transcriptome, proteome and interactome. We provide examples for the in silico mining of the X-ome data sets and illustrate how X-omic data from drug challenged parasites might be used in elucidating amongst others, the mode-of-action of inhibitory compounds, validate potential targets and discover novel targets/therapeutics.