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Biochemical Competition Makes Fatty-Acid β-Oxidation Vulnerable to Substrate Overload

Overview of attention for article published in PLoS Computational Biology, August 2013
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Title
Biochemical Competition Makes Fatty-Acid β-Oxidation Vulnerable to Substrate Overload
Published in
PLoS Computational Biology, August 2013
DOI 10.1371/journal.pcbi.1003186
Pubmed ID
Authors

Karen van Eunen, Sereh M. J. Simons, Albert Gerding, Aycha Bleeker, Gijs den Besten, Catharina M. L. Touw, Sander M. Houten, Bert K. Groen, Klaas Krab, Dirk-Jan Reijngoud, Barbara M. Bakker

Abstract

Fatty-acid metabolism plays a key role in acquired and inborn metabolic diseases. To obtain insight into the network dynamics of fatty-acid β-oxidation, we constructed a detailed computational model of the pathway and subjected it to a fat overload condition. The model contains reversible and saturable enzyme-kinetic equations and experimentally determined parameters for rat-liver enzymes. It was validated by adding palmitoyl CoA or palmitoyl carnitine to isolated rat-liver mitochondria: without refitting of measured parameters, the model correctly predicted the β-oxidation flux as well as the time profiles of most acyl-carnitine concentrations. Subsequently, we simulated the condition of obesity by increasing the palmitoyl-CoA concentration. At a high concentration of palmitoyl CoA the β-oxidation became overloaded: the flux dropped and metabolites accumulated. This behavior originated from the competition between acyl CoAs of different chain lengths for a set of acyl-CoA dehydrogenases with overlapping substrate specificity. This effectively induced competitive feedforward inhibition and thereby led to accumulation of CoA-ester intermediates and depletion of free CoA (CoASH). The mitochondrial [NAD⁺]/[NADH] ratio modulated the sensitivity to substrate overload, revealing a tight interplay between regulation of β-oxidation and mitochondrial respiration.

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Geographical breakdown

Country Count As %
Germany 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
France 1 <1%
Spain 1 <1%
Unknown 121 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 21 17%
Student > Bachelor 15 12%
Student > Master 9 7%
Student > Postgraduate 6 5%
Other 21 17%
Unknown 21 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 29%
Biochemistry, Genetics and Molecular Biology 32 25%
Medicine and Dentistry 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Computer Science 4 3%
Other 21 17%
Unknown 22 17%