Literature DB >> 22394478

Drug target validation of the trypanothione pathway enzymes through metabolic modelling.

Viridiana Olin-Sandoval1, Zabdi González-Chávez, Miriam Berzunza-Cruz, Ignacio Martínez, Ricardo Jasso-Chávez, Ingeborg Becker, Bertha Espinoza, Rafael Moreno-Sánchez, Emma Saavedra.   

Abstract

A kinetic model of trypanothione [T(SH)(2)] metabolism in Trypanosoma cruzi was constructed based on enzyme kinetic parameters determined under near-physiological conditions (including glutathione synthetase), and the enzyme activities, metabolite concentrations and fluxes determined in the parasite under control and oxidizing conditions. The pathway structure is characterized by a T(SH)(2) synthetic module of low flux and low catalytic capacity, and another more catalytically efficient T(SH)(2) -dependent antioxidant/regenerating module. The model allowed quantification of the contribution of each enzyme to the control of T(SH)(2) synthesis and concentration (flux control and concentration control coefficients, respectively). The main control of flux was exerted by γ-glutamylcysteine synthetase (γECS) and trypanothione synthetase (TryS) (control coefficients of 0.58-0.7 and 0.49-0.58, respectively), followed by spermidine transport (0.24); negligible flux controls by trypantothione reductase (TryR) and the T(SH)(2)-dependent antioxidant machinery were determined. The concentration of reduced T(SH)(2) was controlled by TryR (0.98) and oxidative stress (-0.99); however, γECS and TryS also exerted control on the cellular level of T(SH(2)) when they were inhibited by more than 70%. The model predicted that in order to diminish the T(SH)(2) synthesis flux by 50%, it is necessary to inhibit γECS or TryS by 58 or 63%, respectively, or both by 50%, whereas more than 98% inhibition was required for TryR. Hence, simultaneous and moderate inhibition of γECS and TryS appears to be a promising multi-target therapeutic strategy. In contrast, use of highly potent and specific inhibitors for TryR and the antioxidant machinery is necessary to affect the antioxidant capabilities of the parasites.
© 2012 The Authors Journal compilation © 2012 FEBS.

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Year:  2012        PMID: 22394478     DOI: 10.1111/j.1742-4658.2012.08557.x

Source DB:  PubMed          Journal:  FEBS J        ISSN: 1742-464X            Impact factor:   5.542


  13 in total

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Authors:  Chelsea Pratt; Suong Nguyen; Margaret A Phillips
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Authors:  Juan I Alice; Carolina L Bellera; Diego Benítez; Marcelo A Comini; Pablo R Duchowicz; Alan Talevi
Journal:  Mol Divers       Date:  2021-07-15       Impact factor: 2.943

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Journal:  Adv Microb Physiol       Date:  2014       Impact factor: 3.517

4.  Air-adapted Methanosarcina acetivorans shows high methane production and develops resistance against oxygen stress.

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Journal:  PLoS One       Date:  2015-02-23       Impact factor: 3.240

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6.  Understanding the Cross-Talk of Redox Metabolism and Fe-S Cluster Biogenesis in Leishmania Through Systems Biology Approach.

Authors:  Anurag Kumar; Nutan Chauhan; Shailza Singh
Journal:  Front Cell Infect Microbiol       Date:  2019-02-04       Impact factor: 5.293

7.  Mathematical modelling of polyamine metabolism in bloodstream-form Trypanosoma brucei: an application to drug target identification.

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Journal:  PLoS One       Date:  2013-01-23       Impact factor: 3.240

8.  Dissecting the catalytic mechanism of Trypanosoma brucei trypanothione synthetase by kinetic analysis and computational modeling.

Authors:  Alejandro E Leroux; Jurgen R Haanstra; Barbara M Bakker; R Luise Krauth-Siegel
Journal:  J Biol Chem       Date:  2013-06-28       Impact factor: 5.157

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Authors:  Diego Benítez; Andrea Medeiros; Lucía Fiestas; Esteban A Panozzo-Zenere; Franziska Maiwald; Kyriakos C Prousis; Marina Roussaki; Theodora Calogeropoulou; Anastasia Detsi; Timo Jaeger; Jonas Šarlauskas; Lucíja Peterlin Mašič; Conrad Kunick; Guillermo R Labadie; Leopold Flohé; Marcelo A Comini
Journal:  PLoS Negl Trop Dis       Date:  2016-04-12

Review 10.  Efflux pumps and antimicrobial resistance: Paradoxical components in systems genomics.

Authors:  Ritika Kabra; Nutan Chauhan; Anurag Kumar; Prajakta Ingale; Shailza Singh
Journal:  Prog Biophys Mol Biol       Date:  2018-07-18       Impact factor: 3.667

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