1.Determination of Resveratrol in Serum and Organs of Mice by RP-HPLC
Li WANG ; Hong ZHOU ; Sanqi ZHANG ; Aidong WEN ; Yi GU ; Jiafang LIAN ; Jingwen WANG
China Pharmacy 2005;0(17):-
OBJECTIVE: To develop RP-HPLC method for the rapid determination of resveratrol in serum and tissue homogenates (in some organs) of mice.METHODS:HPLC determination was performed using Kromasil C18 column,the mobile phase consisted of methanol - water (48∶ 52) with a flow rate of 1ml/min,the column was under room temperature with its pressure at 12kPa,the detection wavelength was 303nm and the sample size was 20?l. RESULTS: The linear range for resveratrol was 0.25~25?g/ml, with minimal detectable drug concentration at 0.1?g/ml (S/N=3). The average absolute rec_overy of the samples was above 88% and the methodological recovery rates of which ranged from 96% to 100%,RSD were below 10%. CONCLUSIONS: The established determination method is economical, reliable, simple and rapid, and suitable for the blood concentration determination of resveratrol and the study of its distribution in animal body.
2. Multivariate analysis of short-term prognosis of liver transplantation in patients with end-stage liver disease
Wei CHEN ; Aidong GU ; Hai DING ; Yongxiang YI ; Guangshun YANG
Chinese Journal of Organ Transplantation 2019;40(9):545-548
Objective:
To analyze many indicators during perioperative period of liver transplantation in patients with end-stage liver disease, only to seek related factors that can accurately predict short-term(≤three months)outcome.
Methods:
We analyzed retrospectively clinical data of consecutive patients with end-stage liver diseases undergone liver transplantation in a single treatment center. Logistic regression analysis was used to analyze the perioperative indicators including recipient gender, age, body mass index, preoperative serum albumin level, serum sodium concentration, urea nitrogen level and donor-recipient blood group, et al. Correlated factors were analyzed by the method of multivariate logistic regression. Statistical processing package was SAS 9.1.3 soft. The difference was statistically significant with