Open Access Open Badges Methodology

Multivariable analysis of host amino acids in plasma and liver during infection of malaria parasite Plasmodium yoelii

Erisha Saiki12, Kenji Nagao3, Hiroka Aonuma1, Shinya Fukumoto2, Xuenan Xuan2, Makoto Bannai3 and Hirotaka Kanuka12*

Author Affiliations

1 Department of Tropical Medicine, The Jikei University School of Medicine, 3-25-8, Nishi-Shinbashi, Minato-ku, Tokyo, 105-8461, Japan

2 National Research Center for Protozoan Diseases, Obihiro University of Agriculture and Veterinary Medicine, Inada-cho, Obihiro, Hokkaido, 080-8555, Japan

3 Institute for Innovation, Ajinomoto Co Inc, Kanagawa, 210-8680, Japan

For all author emails, please log on.

Malaria Journal 2013, 12:19  doi:10.1186/1475-2875-12-19

Published: 16 January 2013



Malaria is the most significant human parasitic disease, and yet understanding of the energy metabolism of the principle pathogen, Plasmodium falciparum, remains to be fully elucidated. Amino acids were shown to be essential nutritional requirements since early times and much of the current knowledge of Plasmodium energy metabolism is based on early biochemical work, performed using basic analytical techniques, carried out almost exclusively on human plasma with considerable inter-individual variability.


In order to further characterize the fate of amino acid metabolism in malaria parasite, multivariate analysis using statistical modelling of amino acid concentrations (aminogram) of plasma and liver were determined in host infected with rodent malaria parasite, Plasmodium yoelii.

Results and conclusion

Comprehensive and statistical aminogram analysis revealed that P. yoelii infection caused drastic change of plasma and liver aminogram, and altered intra- and inter-correlation of amino acid concentration in plasma and liver. These findings of the interactions between amino acids and Plasmodium infection may provide insight to reveal the interaction between nutrients and parasites.

Plasmodium yoelii; Infection; Nutrition; Amino acid; Aminogram; Multivariable analysis