Fingerprinting and Determination of Hepatotoxic Constituents in Polygoni Multiflori Radix Praeparata of Different Producing Places by HPLC

Synergic effects and possible mechanism of emodin and stilbene glycosides on colorectal cancer

BACKGROUND

Polygonum multiflorum (PM) is a core herb that enhances immunity. It can also detoxify, reduce swelling, and intercept malaria. Its main components, emodin (EMD) and 2,3,5,4'-Tetrahydroxy stilbene-2-O-β-D-glucoside (stilbene glycoside, TSG), have good anti-cancer potential.

PURPOSE

The study aims to investigate synergic effects of EMD and TSG on CRC and its possible mechanism.

METHODS

Network pharmacology and bioinformatics were used to identify targets. HPLC was used to analyze the effective ingredients in PM and to determine the content of the main ingredients. HT-29 cells were used for in vitro experiments. Cell Counting Kit-8 (CCK8) and scratch test were used to detect the effects of various chemical components of PM on the proliferation and migration of HT-29 cells, and Western Bolt (WB) test was used to evaluate the effects of EMD and TSG on P53 pathway. In vivo experiments, the effects of EMD and TSG were evaluated by measuring tumor weight and tumor volume in CRC mice model and histological analysis were carried out with HE staining. The expressions of HSP90, P53, COX2, and ROS were detected by quantitative reverse transcription polymerase chain reaction (PCR), and IL-1β, IL-4, IL-6, IL-10, TGF-β and IFN-γ were detected by enzyme linked immunosorbent assay (ELISA). WB and Immunohistochemistry (IHC) were used to detect the expression of P53 related proteins.

RESULTS

Network pharmacology showed PM closely related to colorectal cancer pathway and the core targets included STAT3 and P53; bioinformatics indicated P53 played an important role in the development and prognosis of CRC; chemical analysis showed identified and quantified gallic acid (GA), cis-TSG, trans-TSG, Emodin glucoside(EMDG), physcion glucoside (PHYG), EMD in PM; EMD induced apoptosis and TSG inhibited migration of HT-29 cells; EMD and TSG could coordinately shrink tumor size of CRC mice, elevate expressions of F4/80, decrease the content of IL-6 and TGF-β, promote tumor oxidized and reduce expression of P53 and STAT3 in the tumor.

CONCLUSIONS

In vitro experiments showed that TSG inhibited cancer cell migration and EMD induced apoptosis. EMD and TSG had synergic effects on CRC, whose possible mechanism might be to regulate the expression of cytokines and inhibit P53 pathway.

Chemical Fingerprint Analysis and Content Determination of Horned Gallnut and Bellied Gallnut in Galla Chinensis

To establish an objective and comprehensive methodology to analyse the connections and differences between horned gallnut (HG) and bellied gallnut (BG) in Galla Chinensis (GC). The HPLC fingerprints from 15 batches of HG and 15 batches of BG were performed, and chemometric analysis including similarity analysis (SA), hierarchical clustering analysis (HCA), principal component analysis (PCA), and orthogonal partial least squares discrimination analysis (OPLS-DA) was also set up. The results showed that the similarity of all batch samples was more than 0.9. In fingerprint analysis, 8 distinct common peaks were detected, among which gallic acid (GA), 1,3,6-tri-O-galloyl-β-D-glucose (TGG), and 1,2,3,4,6-O-galloyl-D-glucose (PGG) were identified by comparing with the standard compounds. Meanwhile, samples were clearly grouped into two classifications corresponding to HG and BG. This study demonstrated that HPLC fingerprints coupled with chemometric analysis could be applied to discriminate HG and BG and evaluate the qualities of HG and BG rapidly, which provided a certain experimental basis for the selection of GC raw materials and subsequent use.

Exploring the mechanism of Jianpi Huatan recipe in protecting hepatocellular carcinoma based on network pharmacology

ETHNOPHARMACOLOGICAL RELEVANCE

Jianpi Huatan Recipe (JPHTR) is an effective prescription for delaying progression of hepatocellular carcinoma (HCC) provided by Longhua Hospital affiliated to Shanghai University of traditional Chinese Medicine, and it is consisted of nine traditional Chinese drugs, but the protective mechanism of JPHTR against HCC progression is unclear.

AIM OF THE STUDY

To study the mechanism of JPHTR preventing the progression of HCC based on the network pharmacology.

MATERIALS AND METHODS

The chemical component and potential gene targets of JPHTR and the important gene targets of HCC were obtained by retrieving traditional Chinese medicine network pharmacology analysis system (TCMNPAS) database. The data obtained from the database are used to construct the drugs-chemical component-targets network and protein-protein interaction network by using Cytoscape software and STRING database. The potential targets of JPHTR and HCC targets were imported into TCMNPAS-related modules in order to obtain the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment pathways. Finally, we used HCC rat model to verify the vital signaling pathways predicted by network pharmacology.

RESULTS

A total of 197 potential compounds and 721 potential targets of JPHTR and 611 important gene targets of HCC were obtained. Through the experiment in vivo, it was found that JPHTR can reduce the serum levels of alanine aminotransferase, aspartate aminotransferase and alkaline phosphatase, reduce the lipid droplets and inflammatory injury of liver tissue, and reduce the mRNA expression of Interleukin-6 (Il-6), Janus tyrosine Kinase2 (Jak2) and Forkhead box O3 (Foxo3) in FOXO pathway in the liver, thus delaying the development of HCC.

CONCLUSION

Through network pharmacology and rat experiments, it is preliminarily confirmed that JPHTR may delay the progression of HCC by regulating the expression of Il-6/Jak2/Foxo3 in FOXO signal pathway, which is expected to be a new therapeutic target for the protection of HCC.

Chemical fingerprint analysis and quality assessment of Tibetan medicine Triphala from different origins by high-performance liquid chromatography

INTRODUCTION

Although the Tibetan medicine Triphala (THL) is widely used in many countries, insufficient progress has been made in quality control.

OBJECTIVES

The present study aimed to propose a methodology for quality control of THL based on HPLC fingerprinting combined with an orthogonal array design.

METHODS

Seven identified peaks were used as indicators to examine the effects of temperature, extraction time, and solid-liquid ratio on the dissolution of active ingredients in THL. Fingerprint analysis was performed on 20 batches of THL from four geographical areas (China, Laos, Thailand, and Vietnam). For further chemometric assessment, analysis techniques including similarity analysis, hierarchical clustering analysis, principal component analysis, and orthogonal partial least squares discrimination analysis (OPLS-DA) were used to classify the 20 batches of samples.

RESULTS

Fingerprints were established and 19 common peaks were identified. The similarity of 20 batches of THL was more than 0.9 and the batches were divided into two clusters. Four differential components of THL were identified based on OPLS-DA, including chebulinic acid, chebulagic acid, and corilagin. The optimal extraction conditions were an extraction time of 30 min, a temperature of 90°C, and a solid-liquid ratio of 30 mL/g.

CONCLUSION

HPLC fingerprinting combined with an orthogonal array design could be used for comprehensive evaluation and quality assessment of THL, providing a theoretical basis for further development and utilization of THL.

Proposing Two Local Modeling Approaches for Discriminating PGI Sunite Lamb from Other Origins Using Stable Isotopes and Machine Learning

For the protection of Protected Geographical Indication (PGI) Sunite lamb, PGI Sunite lamb samples and lamb samples from two other banners in the Inner Mongolia autonomous region were distinguished by stable isotopes (δ¹³C, δ¹⁵N, δ²H, and δ¹⁸O) and two local modeling approaches. In terms of the main characteristics and predictive performance, local modeling was better than global modeling. The accuracies of five local models (LDA, RF, SVM, BPNN, and KNN) obtained by the Adaptive Kennard–Stone algorithm were 91.30%, 95.65%, 91.30%, 100%, and 91.30%, respectively. The accuracies of the five local models obtained by an approach of PCA–Full distance based on DD–SIMCA were 91.30%, 91.30%, 91.30%, 100%, and 95.65%, respectively. The accuracies of the five global models were 91.30%, 91.30%, 91.30%, 100%, and 91.30%, respectively. Stable isotope ratio analysis combined with local modeling can be used as an effective indicator for protecting PGI Sunite lamb.