- Title
-
An Integrated Strategy for Rapid Discovery and Identification of Quality Markers in Gardenia Fructus Using an Omics Discrimination-Grey Correlation-Biological Verification Method
- Authors
- Dong, R., Tian, Q., Shi, Y., Chen, S., Zhang, Y., Deng, Z., Wang, X., Yao, Q., Han, L.
- Source
- Full text @ Front Pharmacol
The protective effect of nine samples of GF (S1-S9) collected from different areas on liver injury and inflammation |
Comparison of the protective effects of GF (S7 and S8) collected from specific locations on liver injury |
Comparison of the anti-inflammatory activities of GF (S4 and S6) collected from specific locations |
The results of multivariate statistical analysis of metabolomic data of protective effects of GF on liver injury and inflammation (A) A PCA scatter plot of 10 GF samples (B) The OPLA-DA scatter plot of the 10 samples (C) The S-plots for the OPLA-DA in the experiments of liver protection (D) PT test of the OPLA-DA model in experiments of liver protection (E) The PCA scatter plot of 11 GF samples (F) The OPLA-DA scatter plot of 11 samples (G) S-plots for the OPLA-DA in anti-inflammatory experiments (H) PT test of the OPLA-DA model in anti-inflammatory experiments. |
TICs of GF compounds at a negative ion mode. The total ion chrtograms (TICs) of GF extract, 1, 2, three on behalf of geniposide, genipin-1-β-D-gentiobioside, crocin-1, respectively; 6,7 and 9–15 represent quinic acid, gardenoside, |
Confirmation of the protective effects of the identified bioactive compounds of GF on liver injury and inflammation |