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. 2020 Apr 29;11:522. doi: 10.3389/fphar.2020.00522

Table 3.

Potential biomarkers in liver associated with SIM administration based on ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOFMS).

ion mode RT-Min Metabolite Mass VIP P-value Related pathway Changesa
Negative 97.57 Docosahexaenoic acid 330.08 1.48 0.05 Biosynthesis of unsaturated fatty acids
209.14 Hypotaurine 108.02 1.80 0.01 Taurine and hypotaurine metabolism
283.25 Taurine 124.01 1.34 0.01 Primary bile acid biosynthesis
41.523 Arachidonic Acid 607.47 1.90 0.00 Biosynthesis of unsaturated fatty acids
344.99 Glyceric acid 166.04 1.84 0.01 Glycerolipid metabolism
42.817 Linoleic acid 279.23 1.60 0.02 Biosynthesis of unsaturated fatty acids
Positive 47.16 20-Hydroxyarachidonic acid 321.24 1.67 0.01
127.58 Taurodeoxycholic acid (TDCA) 464.28 1.81 0.01
200.89 Chenodeoxyglycocholic acid (CDCA) 414.30 1.08 0.04
201.02 Glycodeoxycholic acid (GDCA) 450.32 1.12 0.04
249.15 3-(2-Hydroxyphenyl) 4-propionic acid 138.05 1.84 0.00 Propanoate metabolism
a

The differential metabolites were determined with the criteria of Variable Importance for the Projection (VIP) > 1 in partial least squares-discriminate analysis (PLS-DA) model of multivariate statistical analysis and P < 0.05 in univariate statistical analysis. ↑, ↓ All changes are significant (P < 0.05).