Literature DB >> 10329645

What controls glycolysis in bloodstream form Trypanosoma brucei?

B M Bakker1, P A Michels, F R Opperdoes, H V Westerhoff.   

Abstract

On the basis of the experimentally determined kinetic properties of the trypanosomal enzymes, the question is addressed of which step limits the glycolytic flux in bloodstream form Trypanosoma brucei. There appeared to be no single answer; in the physiological range, control shifted between the glucose transporter on the one hand and aldolase (ALD), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), phosphoglycerate kinase (PGK), and glycerol-3-phosphate dehydrogenase (GDH) on the other hand. The other kinases, which are often thought to control glycolysis, exerted little control; so did the utilization of ATP. We identified potential targets for anti-trypanosomal drugs by calculating which steps need the least inhibition to achieve a certain inhibition of the glycolytic flux in these parasites. The glucose transporter appeared to be the most promising target, followed by ALD, GDH, GAPDH, and PGK. By contrast, in erythrocytes more than 95% deficiencies of PGK, GAPDH, or ALD did not cause any clinical symptoms (Schuster, R. and Holzhütter, H.-G. (1995) Eur. J. Biochem. 229, 403-418). Therefore, the selectivity of drugs inhibiting these enzymes may be much higher than expected from their molecular effects alone. Quite unexpectedly, trypanosomes seem to possess a substantial overcapacity of hexokinase, phosphofructokinase, and pyruvate kinase, making these "irreversible" enzymes mediocre drug targets.

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Year:  1999        PMID: 10329645     DOI: 10.1074/jbc.274.21.14551

Source DB:  PubMed          Journal:  J Biol Chem        ISSN: 0021-9258            Impact factor:   5.157


  41 in total

1.  Compartmentation protects trypanosomes from the dangerous design of glycolysis.

Authors:  B M Bakker; F I Mensonides; B Teusink; P van Hoek; P A Michels; H V Westerhoff
Journal:  Proc Natl Acad Sci U S A       Date:  2000-02-29       Impact factor: 11.205

2.  Glyceraldehyde-3-phosphate dehydrogenase has no control over glycolytic flux in Lactococcus lactis MG1363.

Authors:  Christian Solem; Brian J Koebmann; Peter R Jensen
Journal:  J Bacteriol       Date:  2003-03       Impact factor: 3.490

Review 3.  Systems biology from micro-organisms to human metabolic diseases: the role of detailed kinetic models.

Authors:  Barbara M Bakker; Karen van Eunen; Jeroen A L Jeneson; Natal A W van Riel; Frank J Bruggeman; Bas Teusink
Journal:  Biochem Soc Trans       Date:  2010-10       Impact factor: 5.407

Review 4.  Engineering the glycolytic pathway: A potential approach for improvement of biocatalyst performance.

Authors:  Toru Jojima; Masayuki Inui
Journal:  Bioengineered       Date:  2015       Impact factor: 3.269

5.  Elucidation and structural analysis of conserved pools for genome-scale metabolic reconstructions.

Authors:  Evgeni V Nikolaev; Anthony P Burgard; Costas D Maranas
Journal:  Biophys J       Date:  2004-10-15       Impact factor: 4.033

6.  Compartmentation prevents a lethal turbo-explosion of glycolysis in trypanosomes.

Authors:  Jurgen R Haanstra; Arjen van Tuijl; Peter Kessler; Willem Reijnders; Paul A M Michels; Hans V Westerhoff; Marilyn Parsons; Barbara M Bakker
Journal:  Proc Natl Acad Sci U S A       Date:  2008-11-13       Impact factor: 11.205

7.  Global metabolic responses of mice to Trypanosoma brucei brucei infection.

Authors:  Yulan Wang; Jürg Utzinger; Jasmina Saric; Jia V Li; Jean Burckhardt; Stephan Dirnhofer; Jeremy K Nicholson; Burton H Singer; Reto Brun; Elaine Holmes
Journal:  Proc Natl Acad Sci U S A       Date:  2008-04-14       Impact factor: 11.205

Review 8.  Rewiring and regulation of cross-compartmentalized metabolism in protists.

Authors:  Michael L Ginger; Geoffrey I McFadden; Paul A M Michels
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-03-12       Impact factor: 6.237

9.  Thermodynamic constraints on the regulation of metabolic fluxes.

Authors:  Ziwei Dai; Jason W Locasale
Journal:  J Biol Chem       Date:  2018-10-25       Impact factor: 5.157

10.  TIde: a software for the systematic scanning of drug targets in kinetic network models.

Authors:  Marvin Schulz; Barbara M Bakker; Edda Klipp
Journal:  BMC Bioinformatics       Date:  2009-10-19       Impact factor: 3.169

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