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ABSTRACT: Introduction
Relative oxidation of different metabolic substrates in the heart varies both physiologically and pathologically, in order to meet metabolic demands under different circumstances. 13C labelled substrates have become a key tool for studying substrate use-yet an accurate model is required to analyse the complex data produced as these substrates become incorporated into the Krebs cycle.Objectives
We aimed to generate a network model for the quantitative analysis of Krebs cycle intermediate isotopologue distributions measured by mass spectrometry, to determine the 13C labelled proportion of acetyl-CoA entering the Krebs cycle.Methods
A model was generated, and validated ex vivo using isotopic distributions measured from isolated hearts
SUBMITTER: Lindsay RT
PROVIDER: S-EPMC6892366 | biostudies-literature | 2019 Nov
REPOSITORIES: biostudies-literature