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Living on the edge: substrate competition explains loss of robustness in mitochondrial fatty-acid oxidation disorders
Authors:Karen?van Eunen,Catharina?M.?L.?Volker-Touw,Albert?Gerding,Aycha?Bleeker,Justina?C.?Wolters,Willemijn?J.?van Rijt,Anne-Claire?M.?F.?Martines,Klary?E.?Niezen-Koning,Rebecca?M.?Heiner,Hjalmar?Permentier,Albert?K.?Groen,Terry?G.?J.?Derks,Barbara?M.?Bakker  author-information"  >  author-information__contact u-icon-before"  >  mailto:b.m.bakker@umcg.nl"   title="  b.m.bakker@umcg.nl"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:1.Department of Pediatrics, University of Groningen,University Medical Center Groningen,Groningen,The Netherlands;2.Department of Laboratory Medicine,University of Groningen, University Medical Center Groningen,Groningen,The Netherlands;3.Analytical Biochemistry and Interfaculty Mass Spectrometry Center,University of Groningen,Groningen,The Netherlands;4.Section of Metabolic Diseases, Beatrix Children’s Hospital,University of Groningen, University Medical Center Groningen,Groningen,The Netherlands;5.Top Institute for Food and Nutrition,Wageningen,The Netherlands;6.Systems Biology Center for Energy Metabolism and Aging,University of Groningen, University Medical Center Groningen,Groningen,The Netherlands;7.Present address: Department of Medical Genetics,University Medical Center Utrecht,Utrecht,The Netherlands;8.Groningen,The Netherlands
Abstract:

Background

Defects in genes involved in mitochondrial fatty-acid oxidation (mFAO) reduce the ability of patients to cope with metabolic challenges. mFAO enzymes accept multiple substrates of different chain length, leading to molecular competition among the substrates. Here, we combined computational modeling with quantitative mouse and patient data to investigate whether substrate competition affects pathway robustness in mFAO disorders.

Results

First, we used comprehensive biochemical analyses of wild-type mice and mice deficient for medium-chain acyl-CoA dehydrogenase (MCAD) to parameterize a detailed computational model of mFAO. Model simulations predicted that MCAD deficiency would have no effect on the pathway flux at low concentrations of the mFAO substrate palmitoyl-CoA. However, high concentrations of palmitoyl-CoA would induce a decline in flux and an accumulation of intermediate metabolites. We proved computationally that the predicted overload behavior was due to substrate competition in the pathway. Second, to study the clinical relevance of this mechanism, we used patients’ metabolite profiles and generated a humanized version of the computational model. While molecular competition did not affect the plasma metabolite profiles during MCAD deficiency, it was a key factor in explaining the characteristic acylcarnitine profiles of multiple acyl-CoA dehydrogenase deficient patients. The patient-specific computational models allowed us to predict the severity of the disease phenotype, providing a proof of principle for the systems medicine approach.

Conclusion

We conclude that substrate competition is at the basis of the physiology seen in patients with mFAO disorders, a finding that may explain why these patients run a risk of a life-threatening metabolic catastrophe.
Keywords:
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