Serum metabolomics analysis for biomarker of Lactobacillus plantarum NCU116 on hyperlipidaemic rat model feed by high fat diet

A metabolomics method based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF/MS) was used to investigate the effect of Lactobacillus plantarum NCU116 on the metabolites of hyperlipidaemic rat model feed by high-fat diet. Nine potential biomarkers (Pantothenic Acid, 5-Hydroxyindole acetaldehyde, Glycocholic Acid, Biliverdin IX, l -Leucine, 2-Phenylethanol glucuronide, Taurocholic acid, Indoleacrylic acid and 2-Arachidonoylglycerol) were identified and the pathway features were analyzed by Mass Profiler Professional (MPP) software. Meanwhile, clustering of principal components analysis (PCA), partial least squares-discriminant analysis (PLS-DA) and hierarchical clustering analysis (HCA) produces and biological pathways including tryptophan metabolism, bile secretion, fatty acid biosynthesis, glucose homeostasis, protein digestion and absorption were affected by L. plantarum NCU116. This study demonstrated that L. plantarum NCU116 improved hyperlipidaemic rats via metabolism pathways of amino acids, bile, fatty acids and glucose.