Metabolome Profiling in the Plasma of Dogs with Idiopathic Dilated Cardiomyopathy: A Multiplatform Mass-Spectrometry-Based Approach

Figures

• 

  Figure 1. Metabolites identified in plasma of dogs with iDCM and healthy dogs using a Venn diagram. The untargeted liquid chromatography coupled to mass spectrometry (LC-MS) metabolomics approach identified 48 metabolites, the targeted metabolomics approach (Biocrates analysis) identified 199 metabolites, and 25 metabolites were identified by the gas chromatography coupled to mass spectrometry (GC-MS) metabolomics approach. A total of 272 metabolites were identified using three approaches.

• 

  Figure 2. Partial least squares discriminant analysis (PLS-DA) score plots were performed for the 8 analysed plasma samples of dogs with iDCM and 12 healthy dogs by untargeted LC-MS metabolomics analysis (a), targeted metabolomics analysis (b), and GC-MS-based metabolomics (c) (left panels). Variable importance in projection (VIP) scores for the 15 most influential metabolites identified by PLS-DA analysis in the untargeted LC-MS metabolomics (a), targeted metabolomics (b), and GC-MS metabolomics analysis (c) (right panels). The intensity of the coloured boxes on the right represents the relative intensities/concentrations of the corresponding metabolite in two group of dogs (healthy, dogs with iDCM).