《Discovery of potential Q-marker of traditional Chinese medicine based on plant metabolomics and network pharmacology: Periplocae Cortex as an example》 was written by Li, Zi-ting; Zhang, Feng-xiang; Fan, Cai-lian; Ye, Meng-nan; Chen, Wei-wu; Yao, Zhi-hong; Yao, Xin-sheng; Dai, Yi. Recommanded Product: 673-22-3This research focused ontraditional Chinese medicine plant metabolomic pharmacol Periplocae; Multivariate statistical analysis; Network pharmacology; Periplocae Cortex; Q-marker; Quantification. The article conveys some information:
Quality control exerted great importance on the clin. application of drugs for ensuring effectiveness and safety. Due to chem. 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 chem. consistency. We aimed to develop a new strategy to discover potential quality marker (Q-marker) of TCM by integrating plant metabolomics and network pharmacol., using Periplocae Cortex (GP, the dried root bark of Periploca sepium Bge.) as an example. First, plant metabolomics anal. was performed by UPLC/Q-TOF MS in 89 batches of samples to discover chem. 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 pharmacol. was applied to explore the initial linkages among chem. constituents, targets and diseases. Last, potential Q-marker were selected by integrating anal. of plant metabolomics and network pharmacol., and the quantification method of Q-marker was developed by using UPLC-TQ-MS. The chem. profiling of GP and JP was investigated. Fifteen distinguishing features were designated as core chem. markers to distinguish GP and JP. Besides, the content of 4-methoxybenzaldehyde-2-O-β-D-xylopyranosyl-(1→6)-β-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 pharmacol. Taking absorbed constituents into consideration, 23 constituents were selected as potential Q-marker. A simultaneous quantification method (together with 11 semi-quant. anal.) was developed and applied to the anal. of 20 batches of com. 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. 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 pharmacol. could be used as an effective approach for discovering Q-marker of TCM to fulfill the evaluation of overall chem. consistency among samples from different producing areas, harvest seasons, and even those com. crude drugs, which might be mixed with a small amount of non-medicinal parts. The experimental part of the paper was very detailed, including the reaction process of 2-Hydroxy-4-methoxybenzaldehyde(cas: 673-22-3Recommanded Product: 673-22-3)
2-Hydroxy-4-methoxybenzaldehyde(cas: 673-22-3) is the main component of root bark essential oil of Periploca sepium Bunge. It is a potential tyrosinase inhibitor present in African medicinal plants. 2-Hydroxy-4-methoxybenzaldehyde was used in the synthesis of Schiff base ligand.Recommanded Product: 673-22-3
Referemce:
Ether – Wikipedia,
Ether | (C2H5)2O – PubChem