ABSTRACT OBJECTIVE To establish the HPLC fingerprint of Paeoniae Radix Alba and investigate the spectrum-effect relationship between the fingerprint and the protection against vascular injury.METHODS The HPLC method was used to establish the fingerprint of Paeoniae Radix Alba. Lipopolysaccharide-induced human umbilical vein endothelial cells (HUVEC) and Tg(fli1:egfp) zebrafish models were used to evaluate in vivo and in vitro protective effects of 17 batches of Paeoniae Radix Alba extracts. Grey correlation degree and partial least squares method were used to analyze the spectrum-effect relationship between thefingerprint of Paeoniae Radix Alba and the protection effects.RESULTS The HPLC fingerprint of Paeoniae Radix Alba was constructed, and 11 common peaks were obtained, and the correlation was high, indicating that multiple components of Paeoniae Radix Alba may had synergistic effects on the protection of vascular endothelial cell activity. The correlation sequence with in vivo activitywasP6>P7>P10>P11>P9>P5>P3>P2>P8>P1>P4, and in vitro activity was P6>P4>P2>P3>P5>P1>P10>P9>P7>P11>P8, respectively. Peak 6 was identified as paeoniflorin. The regression coefficient of the partial least squares standard equation was positive, positively correlated with the protection of vascular endothelial cell activity and the vascular development in Tg(fli1:egfp) zebrafish, with VIP>1.0. Furthermore, the verification experiments of active ingredient showed that paeoniflorin could improve cell viability, migration, and tube formation, as well as promote vascular development in Tg(fli1:egfp) zebrafish in a dose-dependent manner. The above results indicated that paeoniflorin might be the major active component of Paeoniae Radix Alba for the protection effect on vascular endothelial cell.CONCLUSION The main active substance of Paeoniae Radix Alba in protecting against vascular inflammation and damage is paeoniflorin, which can provide reference for the quality control of medicinal materials.

Objective To establish a rapid prediction method of the antioxidant activity in aqueous extract solutions of Melastoma dodecandrum based on ultraviolet spectroscopy and partial least squares regression algorithm. Methods The DPPH free radical scavenging effect was used to characterize the antioxidant activity of aqueous extract solutions of Melastoma dodecandrum. The ultraviolet spectra of 190-600 nm were collected. The partial least squares regression model of antioxidant activity was established after optimizing the wavelength range and preprocessing method. The software was devised using Visual Basic as the integrated development environment to provide a convenient tool for the rapid determination of antioxidant activity. Results The optimal partial least squares regression model was established based on 200-290 nm as wavelength range and unit variance scaling as preprocessing method. The correlation coefficient of calibration, root mean square error of estimation, root mean square error of cross-validation was 0.887, 2.20% and 2.17%, respectively. The correlation coefficient of validation, root mean square error of prediction was 0.868, 2.08%. The average predicted recovery was 100.1±2.3%. With the predictive function in the software, the antioxidant activity of aqueous extract solution of Melastoma dodecandrum can be calculated automatically within 2 s after collecting the ultraviolet spectra. Conclusions This study provides a rapid method for the prediction of antioxidant activity in aqueous extract solutions of Melastoma dodecandrum.

Abstract Diabetic osteoporosis is a systemic metabolic bone disease caused by long-term hyperglycemia and has become one of the major complications of diabetes. It is characterized by decreased bone mass, destroyed bone microstructure, and increased bone fragility. Anemarrhenae Rhizoma-Phellodendri Chinensis Cortex herb pair is a classic drug combination, and has been widely used in many anti-diabetic osteoporosis prescriptions. The pharmacological studies have shown that the effects of this herb pair on promoting formation and inhibiting bone resorption are closely related to the Nrf2, MAPK, Wnt and RANK/RANKL signaling pathways as well as autophagy. The compatibility of this herb pair changes the dissolution and pharmacokinetics of the active substances, which have synergistic effects. This article summarized the effective substances of Anemarrhenae Rhizoma-Phellodendri Chinensis Cortex and its mechanism of action against diabetes and osteoporosis, providing a reference for further research and development of the drug pair.

OBJECTIVE： To establish a method for simultaneous determination of 4 triglyceride anti-tumor components in Coix lacryma seed oil. METHODS： HPLC-ELSD was adopted. The determination was performed on Inertsil ODS-3 C18 column with mobile phase consisted of acetonitrile-isopropanol （57 ∶ 43， V/V） at the flow rate of 1.0 mL/min. The column temperature was 30 ℃， and the sample size was 10 μL. Evaporative light scattering detector was used， the drift tube temperature was 70 ℃， and the gas flow rate was 2 L/min. Using glycerol trioleateas internal standard， relative correction factors （RCF） of linolein trilinolein， 1，2-linoleic acid-3-palmitic acid glyceride and 1-palmitic acid-2-oleic acid-3-linoleic acid glyceride were calculated respectively. The contents of above 3 components in C. lacryma seed oil were calculated by RCF. The contents of 4 components in C. lacryma seed oil were determined by external standard. The results of content determination by quatitative analysis of multi-components by single marker （QAMS） were compared with external standard method. RESULTS： The linear ranges were 0.15-4.50 μg for linolein trilinolein， 0.15-4.50 μg for 1，2-linoleic acid-3-palmitate， 0.35-10.50 μg for 1-palmitic acid-2-oleic acid-3-linoleic acid glyceride， 0.35-10.50 μg for glycerol trioleate （r≥0.999 5）. The limits of quantification were 0.13， 0.06， 0.07， 0.12 μg. The limits of detection were 0.04， 0.02， 0.02， 0.03 μg， respectively. RSDs of precision， stability， and repeatability tests were less than 2.0％（n＝6）. The average recoveries were 95.43％-102.67％（RSD＜2.0％， n＝6）. Average RCFs of linolein trilinolein， 1，2- linoleic acid-3-palmitic acid glyceride and 1-palmitic acid-2- oleic acid-3-linoleic acid glyceride were 0.31， 0.88， and 1.21， respectively. RCFs reproducibility was perfect under different experiment conditions. There was no significant difference in results of content determination between QAMS and external standard method （P＞0.05）. CONCLUSIONS： The method is simple， rapid， accurate and reliable. It is used for simultaneous determination of linolein trilinolein， 1， 2-linoleic acid-3-palmitate， 1-palmitic acid-2-oleic acid-3-linoleic acid glyceride and glycerol trioleateas in C. lacryma seed oil.