Objective: To explore and validate the potential targets of Paeoniae Radix Alba (P. Radix, Bai Shao) in protecting against chemical liver injury through network pharmacology, molecular docking technology, and in vitro cell experiments. Methods: Network pharmacology was used to identify the common potential targets of P. Radix and chemical liver injury. Molecular docking was used to fit the components, which were subsequently verified in vitro. A cell model of hepatic fibrosis was established by activating hepatic stellate cell (HSC)-LX2 cells with 10 ng/mL transforming growth factor-β1. The cells were exposed to different concentrations of total glucosides of paeony (TGP), the active substance of P. Radix, and then evaluated using the cell counting kit-8 assay, enzyme-linked immunosorbent assay, and western blot. Results: Analysis through network pharmacology revealed 13 key compounds of P. Radix, and the potential targets for preventing chemical liver injury were IL-6, AKT serine/threonine kinase 1, jun proto-oncogene, heat shock protein 90 alpha family class A member 1 (HSP90AA1), peroxisome proliferator activated receptor gamma (PPARG), PTGS2, and CASP3. Gene Ontology (GO) enrichment analysis indicated the involvement of response to drugs, membrane rafts, and peptide binding. Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that the main pathways involved lipid and atherosclerosis and chemical carcinogenesis-receptor activation. Paeoniflorin and albiflorin exhibited strong affinity for HSP90AA1, PTGS2, PPARG, and CASP3. Different concentrations of TGP can inhibit the expression of COL-Ⅰ, COL-Ⅲ, IL-6, TNF-α, IL-1β, HSP-90α, and PTGS2 while increasing the expression of PPAR-γ and CASP3 in activated HSC-LX2 cells. Conclusion P. Radix primarily can regulate targets such as HSP90AA1, PTGS2, PPARG, CASP3. TGP, the main active compound of P. Radix, protects against chemical liver injury by reducing the inflammatory response, activating apoptotic proteins, and promoting the apoptosis of activated HSCs.

ObjectiveTo discriminate the age of Arisaema Cum Bile， the combination of headspace solid-phase microextraction （HS-SPME） with gas chromatography-mass spectrometry （GC-MS） was applied to explore the differences of volatile components of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented Arisaema Cum Bile. MethodSamples with different fermentation durations were collected and HS-SPME-GC-MS technology was employed to detect the volatile components of each sample. The relative contents of detected volatile components were processed and analyzed by chemometrics methods such as principal component analysis （PCA）， hierarchical cluster analysis （HCA）， and partial least squares discriminant analysis （PLS-DA）. ResultThe results showed that 145 volatile components were identified. Among these volatile components， the relative contents of heterocyclic， alcohols， aldehydes and aromatics were high. PCA， HCA， and PLS-DA can effectively separate Arisaema Cum Bile with four different ages. Based on variable importance in projection （VIP） value > 1， 73 markers of differential volatile components were identified. The content of 2，6，11-trimethyldodecane and m-xylene in unfermented samples was the highest， and the content difference between them and those in fermented samples was significant （P<0.05）. 2，3-butanediol was detected only in 1-year samples， octane was detected only in 2-year samples， and ethyl heptanoate was detected only in 3-year samples. These components can be used as odor markers for Arisaema Cum Bile with different fermentation years. ConclusionThe identification method of volatile components of Arisaema Cum Bile was established by HS-SPME-GC-MS technology， which can realize the rapid identification of unfermented， 1-year fermented， 2-year fermented， and 3-year fermented samples， and provide a scientific basis for the standardization of processing technology and quality standards of Arisaema Cum Bile.