Fig. 4: The mechanism of FZA in treatment of NSCLC was investigated by non-targeted metabolomics. | Communications Biology

Fig. 4: The mechanism of FZA in treatment of NSCLC was investigated by non-targeted metabolomics.

From: Alkaloids of Aconiti Lateralis Radix Praeparata inhibit growth of non-small cell lung cancer by regulating PI3K/Akt-mTOR signaling and glycolysis

Fig. 4: The mechanism of FZA in treatment of NSCLC was investigated by non-targeted metabolomics.

A PCA scores scatter plot of serum metabolites. B PLS-DA scores scatter plot of serum metabolites. C Heatmap showed the differentially expressed metabolites between Model and FZA groups with adjusted P value < 0.05, |Log2FC | > 0.58 (Up-regulation metabolites were presented as red dots, whereas the down-regulation ones were in blue). D Pathway enrichment analysis by the MetaboAnalyst 4.0 tool. The y-axis represented the p value and the x-axis represented the impact value. The pathways were represented as a text-based on the p value. The color and size of each circle represent p-value and pathway impact values, respectively. E The compound-reaction-enzyme-gene networks of the key metabolites and targets. The compounds, reactions, enzymes, and genes were represented by the light red hexagons, gray squares (with associated KEGG reaction identifier numbers), green rounded corner squares, and light blue circles (with associated gene symbols), respectively. The input potential metabolites were represented by red hexagons.

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