PCR-RFLP for Distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex / 中国实验方剂学杂志

ObjectiveTo establish a polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method for rapid distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex， so as to avoid the influence of genetic confusion on drug safety. MethodThe DSS-tagged sequences of Periplocae Cortex were obtained from the Chloroplast Genome Information Resource （CGIR） and analyzed to find the enzymatic cleavage sites that were different from those of Acanthopanacis Cortex and Lycii Cortex. The specific enzymatic cleavage site， Cla I， of Periplocae Cortex was selected， on the basis of which the primers for PCR-RFLP were designed. Furthermore， the factors such as annealing temperature， number of cycles， Taq enzyme， PCR instruments， and enzymatic treatment time that may influence PCR-RFLP were studied. The established PCR-RFLP method was applied to the identification of Periplocae Cortex， Acanthopanacis Cortex， and Lycii Cortex samples produced in different regions. ResultThe PCR-RFLP at the annealing temperature of 59 ℃ and with 40 cycles showed clear bands of the samples. When the enzyme digestion time was 30 min. The reaction produced the target bands at about 140 bp and 290 bp for both Periplocae Cortex and its original plant and only a band at about 430 bp for Acanthopanacis Cortex， Lycii Cortex， and their original plants. The method can accurately distinguish Periplocae Cortex from its confounders Acanthopanacis Cortex and Lycii Cortex. ConclusionThe PCR-RFLP method for distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex was established. It has high stability， sensitivity， and applicability， providing a reference for the quality control of Periplocae Cortex， Acanthopanacis Cortex， and Lycii Cortex.

Herbal Textual Research on Acanthopanacis Cortex in Famous Classical Formulas / 中国实验方剂学杂志

Through the textual research and analysis of ancient and modern documents of Acanthopanacis Cortex（AC）， this paper combed the variety， origin， harvesting， processing and ancient quality evaluation methods of AC， and clarified the historical context of the mixing of its common counterfeit product（Periplocae Cortex）， in order to provide a basis for the development of famous classical formulas containing AC. AC was first published in Shennong Bencaojing with the name of Wujia， Wujiapi is the name rectification in all dynasties since Leigong Paozhilun. According to the description of inflorescence location and fruit morphology of Wujia in the materia medica， it is judged that the mainstream origin of AC used in previous dynasties was Acanthopanax gracilistylus. Periplocae Cortex was mixed with AC in the period of the Republic of China because it was in line with the "like Lycii Cortex， light， brittle and fragrant". The origin of Wujiapi recorded in past dynasties was concentrated in the middle and lower reaches of the Yangtze River， mainly in Hubei， Henan， Anhui and other places. Since modern times， the traditional quality evaluation of AC has been gradually summarized， with thick skin， white color and fragrant smell as the best. The traditional harvesting and processing of AC involved picking the stems in May and July of the lunar calendar， picking the roots in October， and drying in the shade. In modern times， the roots of AC are harvested， washed， peeled and dried in summer and autumn. In the past dynasties， there were rice wine processing， Euodiae Fructus boiling， ginger juice processing and other methods. In modern times， it is usually cut into thick slices after the cleansing. According to the research results， it is suggested that the root bark of A. gracilistylus should be selected as the origin of AC in famous classical formulas， which should be processed into the medicine according to the specific prescription requirements. In addition， it is suggested to restore the medicinal name of Periplocae Cortex as Yangtao， in order to reduce its chaotic influence on the medicinal use of AC.

Comparative Analysis of Acanthopanacis Cortex and Periplocae Cortex Using an Electronic Nose and Gas Chromatography-Mass Spectrometry Coupled with Multivariate Statistical Analysis.

Chinese Herbal Medicines (CHMs) can be identified by experts according to their odors. However, the identification of these medicines is subjective and requires long-term experience. The samples of Acanthopanacis Cortex and Periplocae Cortex used were dried cortexes, which are often confused in the market due to their similar appearance, but their chemical composition and odor are different. The clinical use of the two herbs is different, but the phenomenon of being confused with each other often occurs. Therefore, we used an electronic nose (E-nose) to explore the differences in odor information between the two species for fast and robust discrimination, in order to provide a scientific basis for avoiding confusion and misuse in the process of production, circulation and clinical use. In this study, the odor and volatile components of these two medicinal materials were detected by the E-nose and by gas chromatography-mass spectrometry (GC-MS), respectively. An E-nose combined with pattern analysis methods such as principal component analysis (PCA) and partial least squares (PLS) was used to discriminate the cortex samples. The E-nose was used to determine the odors of the samples and enable rapid differentiation of Acanthopanacis Cortex and Periplocae Cortex. GC-MS was utilized to reveal the differences between the volatile constituents of Acanthopanacis Cortex and Periplocae Cortex. In all, 82 components including 9 co-contained components were extracted by chromatographic peak integration and matching, and 24 constituents could be used as chemical markers to distinguish these two species. The E-nose detection technology is able to discriminate between Acanthopanacis Cortex and Periplocae Cortex, with GC-MS providing support to determine the material basis of the E-nose sensors' response. The proposed method is rapid, simple, eco-friendly and can successfully differentiate these two medicinal materials by their odors. It can be applied to quality control links such as online detection, and also provide reference for the establishment of other rapid detection methods. The further development and utilization of this technology is conducive to the further supervision of the quality of CHMs and the healthy development of the industry.

Discovery of potential Q-marker of traditional Chinese medicine based on plant metabolomics and network pharmacology: Periplocae Cortex as an example.

BACKGROUND: Quality control exerted great importance on the clinical application of drugs for ensuring effectiveness and safety. Due to chemical complexity, diversity among different producing areas and harvest seasons, as well as unintentionally mixed with non-medicinal parts, the current quality standards of traditional Chinese medicine (TCM) still faced challenges in evaluating the overall chemical consistency. PURPOSE: We aimed to develop a new strategy to discover potential quality marker (Q-marker) of TCM by integrating plant metabolomics and network pharmacology, using Periplocae Cortex (GP, the dried root bark of Periploca sepium Bge.) as an example. METHODS: First, plant metabolomics analysis was performed by UPLC/Q-TOF MS in 89 batches of samples to discover chemical markers to distinguish medicinal parts (GP) and non-medicinal parts (the dried stem bark of Periploca sepium Bge. (JP)), harvest seasons and producing region of Periplocae Cortex. Second, network pharmacology was applied to explore the initial linkages among chemical constituents, targets and diseases. Last, potential Q-marker were selected by integrating analysis of plant metabolomics and network pharmacology, and the quantification method of Q-marker was developed by using UPLC-TQ-MS. RESULTS: The chemical profiling of GP and JP was investigated. Fifteen distinguishing features were designated as core chemical markers to distinguish GP and JP. Besides, the content of 4-methoxybenzaldehyde-2-O-ß-d-xylopyranosyl-(1→6)-ß-d-glucopyranoside could be used to identify Periplocae Cortex harvested in spring-autumn or summer. Meanwhile, a total of 15 components targeted rheumatoid arthritis were screened out based on network pharmacology. Taking absorbed constituents into consideration, 23 constituents were selected as potential Q-marker. A simultaneous quantification method (together with 11 semi-quantitative analysis) was developed and applied to the analysis of 20 batches of commercial Periplocae Cortex on the market. The PLS-DA model was successfully developed to distinguish GP and JP samples. In addition, the artificially mixed GP sample, which contained no less than 10% of the adulterant (JP), could also be correctly identified. CONCLUSION: Our results indicated that 9 ingredients could be considered as Q-marker of Periplocae Cortex. This study has also demonstrated that the plant metabolomics and network pharmacology could be used as an effective approach for discovering Q-marker of TCM to fulfill the evaluation of overall chemical consistency among samples from different producing areas, harvest seasons, and even those commercial crude drugs, which might be mixed with a small amount of non-medicinal parts.

[Research progress on chemical composition and pharmacological effects of Periplocae Cortex and predictive analysis on Q-marker].

Periplocae Cortex is a traditional Chinese medicine in China, which is mainly produced in northeast China, north China, northwest China, southwest China. In recent years, the increasing in-depth research resulted in the discovery of anti-tumor and cardiac pharmacological activities of Periplocae Cortex, which has broad application prospects. On the basis of summarizing chemical components and pharmacological effects, combined with the theoretical system of Q-marker, the quality control components of Periplocae Cortex were predicted from the aspects of the correlation between chemical composition and traditional medicinal properties, traditional efficacy, and new clinical use, plasma composition, measurable composition, storage time by analyzing literature. Among the components, periplocoside, periplocin, periplogenin, 4-methoxy salicylaldehyde showed significant activity, which provides a scientific basis for quality evaluation of Periplocae Cortex.

Characterization of chemical components of Periplocae Cortex and their metabolites in rats using ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry.

Periplocae Cortex, named Xiang-Jia-Pi in China, has been widely used to treat autoimmune diseases, especially rheumatoid arthritis. However, the in vivo substances of Periplocae Cortex remain unknown yet. In this study, an ultra-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry was used for profiling the chemical components and related metabolites of Periplocae Cortex. A total of 98 constituents were identified or tentatively characterized in Periplocae Cortex: 42 C21 steroidal glycosides, 10 cardiac glycosides, 23 organic acids, 4 aldehydes, 7 triterpenes, and 12 other types. Among them, 18 components were unambiguously identified by comparison with reference standards. In addition, 176 related xenobiotics (34 prototypes and 142 metabolites) were screened out and characterized in rats' biosamples (plasma, urine, bile, and feces) after the oral administration of Periplocae Cortex. Moreover, the metabolic fate of periplocoside S-4a, a C21 steroidal glycoside, was proposed for the first time. In summary, phase II reactions (methylation, glucuronidation, and sulfation), phase I reactions (hydrolysis reactions, oxygenation, and reduction), and their combinations were the predominant metabolic reactions of Periplocae Cortex in rat. It is the first report to reveal the in vivo substances and metabolism feature of Periplocae Cortex. This study also provided meaningful information for further pharmacodynamics study of Periplocae Cortex, as well as its quality control research.

Research progress on chemical composition and pharmacological effects of Periplocae Cortex and predictive analysis on Q-marker / 中国中药杂志

Periplocae Cortex is a traditional Chinese medicine in China, which is mainly produced in northeast China, north China, northwest China, southwest China. In recent years, the increasing in-depth research resulted in the discovery of anti-tumor and cardiac pharmacological activities of Periplocae Cortex, which has broad application prospects. On the basis of summarizing chemical components and pharmacological effects, combined with the theoretical system of Q-marker, the quality control components of Periplocae Cortex were predicted from the aspects of the correlation between chemical composition and traditional medicinal properties, traditional efficacy, and new clinical use, plasma composition, measurable composition, storage time by analyzing literature. Among the components, periplocoside, periplocin, periplogenin, 4-methoxy salicylaldehyde showed significant activity, which provides a scientific basis for quality evaluation of Periplocae Cortex.

Effect of baohuoside-I on Wnt/β-catenin signaling pathway of human esophageal carcinoma cell Eca-109 / 中草药

Objective: To study the effect of baohuoside-I extracted from Periplocae Cortex on proliferation and Wnt/β-catenin signaling pathway of human esophageal carcinoma cell Eca-109. Methods: The expressions of β-catenin, Cyclin D1, and Survivin protein in Eca-109 cells were measured with flow cytometry (FCM). The expressions of β-catenin, Cyclin D1, and Survivin mRNA were detected by RT-PCR. Results: After treatment with 25 and 50 μg/mL of baohuoside-I for 48 h, the expression levels of β-catenin, Cyclin D1, Survivin mRNA, and protein were decreased significantly (P<0.01), but with 12.5 μg/ML of baohuoside-I the expression level was not decreased significantly compared with the control group. Conclusion: Baohuoside-I from Periplocae Cortex could inhibit the proliferation of Eca-109 cells. This effect associais with down-regulation expression of β-catenin, Cyclin D1, Survivin, and their proteins, which affects on the Wnt/β-catenin signaling pathway.