Huazhi Rougan Granules attenuates steatosis in cell model of nonalcoholic fatty liver disease by inducing autophagy / 中国中药杂志

To investigate the effect of Huazhi Rougan Granules(HZRG) on autophagy in a steatotic hepatocyte model of free fatty acid(FFA)-induced nonalcoholic fatty liver disease(NAFLD) and explore the possible mechanism. FFA solution prepared by mixing palmitic acid(PA) and oleic acid(OA) at the ratio of 1∶2 was used to induce hepatic steatosis in L02 cells after 24 h treatment, and an in vitro NAFLD cell model was established. After termination of incubation, cell counting kit-8(CCK-8) assay was performed to detect the cell viability; Oil red O staining was employed to detect the intracellular lipid accumulation; enzyme-linked immunosorbnent assay(ELISA) was performed to measure the level of triglyceride(TG); to monitor autophagy in L02 cells, transmission electron microscopy(TEM) was used to observe the autophagosomes; LysoBrite Red was used to detect the pH change in lysosome; transfection with mRFP-GFP-LC3 adenovirus was conducted to observe the autophagic flux; Western blot was performed to determine the expression of autophagy marker LC3B-Ⅰ/LC3B-Ⅱ, autophagy substrate p62 and silent information regulator 1(SIRT1)/adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK) signaling pathway. NAFLD cell model was successfully induced by FFA at 0.2 mmol·L~(-1) PA and 0.4 mmol·L~(-1) OA. HZRG reduced the TG level(P<0.05, P<0.01) and the lipid accumulation of FFA-induced L02 cells, while elevated the number of autophagosomes and autophagolysosomes to generate autophagic flux. It also affected the functions of lysosomes by regulating their pH. Additionally, HZRG up-regulated the expression of LC3B-Ⅱ/LC3B-Ⅰ, SIRT1, p-AMPK and phospho-protein kinase A(p-PKA)(P<0.05, P<0.01), while down-regulated the expression of p62(P<0.01). Furthermore, 3-methyladenine(3-MA) or chloroquine(CQ) treatment obviously inhibited the above effects of HZRG. HZRG prevented FFA-induced steatosis in L02 cells, and its mechanism might be related to promoting autophagy and regulating SIRT1/AMPK signaling pathway.

Mechanism and experimental verification of Dachengqi Decoction in treatment of sepsis based on network pharmacology / 中国中药杂志

This study aims to predict the material basis and mechanism of Dachengqi Decoction in the treatment of sepsis based on network pharmacology. The chemical constituents and targets of Dachengqi Decoction were retrieved from TCMSP, UniPot and DrugBank and the targets for the treatment of sepsis from OMIM and GeneCards. The potential targets of Dachengqi Decoction for the treatment of sepsis were screened by OmicShare. STRING database and Cytoscape 3.7.2 were used to construct the Chinese medicinal-active component-target-disease, active component-key target-key pathway, and protein-protein interaction(PPT) networks. The gene ontology(GO) term enrichment analysis and Kyoto encyclopedia of genes and genomes(KEGG) pathway enrichment analysis were performed by DAVID(P<0.05). Finally, the animal experiment was conducted to verify some targets and pathways. A total of 40 active components and 157 targets of the Dachengqi Decoction, 2 407 targets for the treatment of sepsis, and 91 common targets of the prescription and the disease were also obtained. The key targets were prostaglandin G/H synthase 2(PTGS2), prostaglandin G/H synthase 1(PTGS1), protein kinase cAMP-dependent catalytic-α(PRKACA), coagulation factor 2 receptor(F2 R), phosphatidylinositol-4,5-bisphosphate 3-kinase catalytic gamma subunit(PIK3 CG), dipeptidyl peptidase 4(DPP4), etc. A total of 533 terms and 125 pathways were obtained for the 91 targets. The main terms were the response to drug, negative regulation of apoptotic process, positive regulation of nitric oxide biosynthetic process and lipopolysaccharide-mediated signaling pathway, and the pathways included pathways in cancer, hepatitis B, and phosphatidylinositol 3-kinase and protein kinase B(PI3 K/Akt) signaling pathway. The animal experiment confirmed that Dachengqi Decoction can down-regulate inflammatory cytokines interleukin-1β(IL-1β), IL-6 and tumor necrosis factor α(TNF-α)(P<0.01). It could also reduce the wet/dry weight ratio of lung tissue, the level of myeloperoxidase(MPO) and the phosphorylation of PI3 K and Akt(P<0.01). These results indicated that Dchengqi Decoction could act on inflammation-related targets and improve sepsis by inhibiting PI3 K/Akt signaling pathway. The animal experiment supported the predictions of network pharmacology. Dachengqi Decoction intervenes sepsis via multiple components, multiple targets, and multiple pathways. The result lays a foundation for further research on the mechanism of Dachengqi Decoction in the treatment of sepsis.

Taste comparison of unprocessed and processed Siegesbeckiae puescens based on electronic tongue / 中草药

Objective: To study the taste of unprocessed and processed Siegesbeckiae puescens (SP) and establish a taste discrimination model. Methods: The sour, bitter, astringent, salty, and sweet values of 12 batches of unprocessed and processed SP were measured by electronic tongue using a paired t-test, principal component analysis (PCA), and the linear discriminant factor analysis (LDA) to study the changes of the taste of unprocessed and processed SP. Results: The paired t-test showed that the bitterness and saltiness of processed SP decreased; Astringency, sweetness, and sourness did not significantly change. The PCA can distinguish unprocessed and processed SP. The model of the taste of unprocessed and processed SP was established through the LDA, and conduct cross validation; Its correct rate reached 100%. The fingerprint of taste of unprocessed and processed SP was established through radar-graph. Conclusion: Electronic tongue can identify sour, bitter, astringent, salty, and sweet values of traditional Chinese medicine accurately. It can reflect the numerical change of taste of unprocessed and processed SP combining with statistical method. Based on it, it can be inferred that the relationship between the change of taste and clinical efficacy before and after processing of SP. Besides, the discriminant model can be used to distinguish unprocessed and processed SP.