(341b) A Systems-Biology Approach to Investigate the Antimicrobial Activity of Oleuropein
AIChE Annual Meeting
2016
2016 AIChE Annual Meeting
Computing and Systems Technology Division
Computational Methods in Biological and Biomedical Systems
Tuesday, November 15, 2016 - 12:48pm to 1:06pm
In this study, a genome-scale modeling approach which can help predict systems-level changes of intracellular metabolisms was adopted to investigate the effect of oleuropein on S. aureus, a common food-borne pathogen. Genome-scale modeling approaches, which incorporate genomic genes and metabolites in a metabolic reaction network, have been proved of excellent performance in predicting the systems-level changes of intracellular metabolisms in organisms under specific nutrient environment or treated by specific stimuli. Among all the pathogens that are inhibited by oleuropein, S. aureus has been widely studied experimentally [1], [7] as well as by modeling [8]â??[10]. In this work, the model developed by Becker et al.[8] was first extended to incorporate the nitric oxide reaction into the intracellular metabolism based on experimental research. The stress that oleuropein imposes on S. aureus was mimicked by regulating the export of potassium, phosphate and glutamate out of the cell. With decreased phosphate uptake rate and increased glutamate secretion rate, S. aureus growth fits experimental results [1] in the presence of oleuropein at various concentrations. In addition, the reactions and enzymes that are highly related to oleuropein stress are identified by flux balance analysis. This study provides the first genome-scale model for oleuropein metabolism study, and the results indicates that genome-scale modeling is a promising method for revealing the intracellular metabolisms of oleuropein biological properties and thus help to find the food and pharmaceutical applications of oleuropein.
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References:
[1] C. C. Tassou and G. J. E. Nychas, â??Inhibition of Staphylococcus aureus by Olive Phenolics in Broth and in a Model Food System,â? J. Food Prot., vol. 57, no. JANUARY, p. 5, 1994.
[2] H. P. Fleming, W. M. Walter Jr., and J. L. Etchells, â??Antimicrobial properties of oleuropein and products of its hydrolysis from green olives,â? Appl Microbiol, vol. 26, no. 5, pp. 777â??782, 1973.
[3] A. P. Pereira, I. C. F. R. Ferreira, F. Marcelino, P. Valentão, P. B. Andrade, R. Seabra, L. Estevinho, A. Bento, and J. A. Pereira, â??Phenolic compounds and antimicrobial activity of olive (Olea europaea L. Cv. Cobrançosa) leaves.,â? Molecules, vol. 12, no. 5, pp. 1153â??1162, 2007.
[4] N. Caturla, L. Pérez-Fons, A. Estepa, and V. Micol, â??Differential effects of oleuropein, a biophenol from Olea europaea, on anionic and zwiterionic phospholipid model membranes,â? Chem. Phys. Lipids, vol. 137, no. 1â??2, pp. 2â??17, 2005.
[5] B. Juven, Y. Henis, and B. Jacoby, â??Studies on the Mechanism of the Antimicrobial Action of Oleuropein*,â? J. Appl. Bacteriol., vol. 35, no. 4, pp. 559â??567, 1972.
[6] F. Durlu-özkaya and M. T. Ã?zkaya, â??Oleuropein using as an Additive for Feed and Products used for Humans,â? Food Process. Technol., vol. 2, no. 3, pp. 1â??7, 2011.
[7] J. Casas-Sanchez, A. M. Alsina, M. K. Herrlein, and C. Mestres, â??Interaction between the antibacterial compound, oleuropein, and model membranes,â? Colloid Polym. Sci., vol. 285, no. 12, pp. 1351â??1360, 2007.
[8] S. A. Becker and B. Ã?. Palsson, â??Genome-scale reconstruction of the metabolic network in Staphylococcus aureus N315: an initial draft to the two-dimensional annotation,â? BMC Microbiol., vol. 5, no. 1, p. 8, 2005.
[9] M. Heinemann, A. Kümmel, R. Ruinatscha, and S. Panke, â??In silico genome-scale reconstruction and validation of the Staphylococcus aureus metabolic network,â? Biotechnol. Bioeng., vol. 92, no. 7, pp. 850â??864, 2005.
[10] D. S. Lee, H. Burd, J. Liu, E. Almaas, O. Wiest, A. L. Barabasi, Z. N. Oltvai, and V. Kapatral, â??Comparative genome-scale metabolic reconstruction and flux balance analysis of multiple Staphylococcus aureus genomes identify novel antimicrobial drug targets,â? J. Bacteriol., vol. 191, no. 12, pp. 4015â??4024, 2009.