【Animal Modeling】-Based on LC-MS-based Metabolomics Study of Coronary Heart Disease-derived Microbiota in Mice

  Objective To study the characteristic metabolites of mice with coronary heart disease-derived microbiota using non-targeted metabolomics technology based on liquid chromatography-mass spectrometry.

  Methods Twenty-eight sterile female C57BL/6J mice were divided into control group (CON) and model group (CAD). Plasma was collected from 7 animals, and LC-MS technology was used to study the plasma metabolites of mice, and PCA and PLS-DA statistical methods were used to identify characteristic metabolites and related metabolic pathways.

  Results 30 characteristic differential metabolites present at both time points were finally confirmed by standards. Among them, L-carnitine, phenylpyruvic acid, 1-naphthol and 2-naphthol were significantly increased in the model group. Bile acid metabolism pathway, glycine serine and threonine metabolic pathways were down-regulated at 6 weeks and 10 weeks of modeling.

  Conclusion Mice with coronary heart disease-derived microflora have metabolic disorders similar to those of patients.