Reference : Genome-Scale Methods Converge on Key Mitochondrial Genes for the Survival of Human Ca...
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/17457
Genome-Scale Methods Converge on Key Mitochondrial Genes for the Survival of Human Cardiomyocytes in Hypoxia
English
Edwards, Lindsay mailto [King’s College London > School of Biomedical Science]
Sigurdsson, Martin I [Brigham and Women's Hospital, Harvard Medical School > Department of Anaesthesia, Perioperative and Pain Medicine]
Robbins, Peter A [University of Oxford > Department of Physiology, Anatomy and Genetics]
Weale, Michael E [King's College London School of Medicine > Department of Medical & Molecular Genetics]
Cavalleri, Gianpiero L [Royal College of Surgeons in Ireland > Molecular and Cellular Therapeutics]
Montgomery, Hugh [University College London > Institute for Human Health and Performance]
Thiele, Ines mailto [University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > >]
2014
Circulation: Cardiovascular Genetics
American Heart Association
Yes (verified by ORBilu)
International
1942-325X
1942-3268
Dallas
USA
[en] systems biology ; hypoxia ; mitochondria ; genetic association
[en] Background—Any reduction in myocardial oxygen delivery relative to its demands can impair cardiac contractile performance. Understanding the mitochondrial metabolic response to hypoxia is key to understanding ischemia tolerance in the myocardium. We employed a novel combination of two genome-scale methods to study key processes underlying human myocardial hypoxia tolerance. In particular, we hypothesised that computational modelling and evolution would identify similar genes as critical to human myocardial hypoxia tolerance.

Methods and Results—We analysed a reconstruction of the cardiac mitochondrial metabolic network using constraint-based methods, under conditions of simulated hypoxia. We used flux balance analysis, random sampling and principle components analysis to explore feasible steady-state solutions. Hypoxia blunted maximal ATP (-17%) and haeme (-75%) synthesis and shrank the feasible solution space. TCA and urea cycle fluxes were also reduced in hypoxia, but phospholipid synthesis was increased. Using mathematical optimization methods, we identified reactions that would be critical to hypoxia tolerance in the human heart. We used data regarding SNP frequency and distribution in the genomes of Tibetans (whose ancestors have resided in persistent high-altitude hypoxia for several millennia). Six reactions were identified by both methods as being critical to mitochondrial ATP production in hypoxia: phosphofructokinase, phosphoglucokinase, Complex II, Complex IV, aconitase and fumarase.

Conclusions—Mathematical optimization and evolution converged on similar genes as critical to human myocardial hypoxia tolerance. Our approach is unique and completely novel and demonstrates that genome-scale modelling and genomics can be used in tandem to provide new insights into cardiovascular genetics.
Luxembourg Centre for Systems Biomedicine (LCSB): Molecular Systems Physiology (Thiele Group)
http://hdl.handle.net/10993/17457
10.1161/CIRCGENETICS.113.000269

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