Oral drug-loaded nano-system include nano-gel drug delivery system, nano-suspension drug delivery system, nano-particle drug delivery system, liposomes drug delivery system, nano-micelles drug delivery system, alcohol liposoms,nano-framework drug delivery system, nano-emulsions drug delivery system, nano-self assembly drug delivery system.These nano-drug delivery systems can serve as multi-functional drug carriers.They may significantly improve the physicochemical and stabilization and biological properties of the free drug, enhance the therapeutic efficiency and reduce toxic side effects.This paper reviews the recent research progress in oral drug-loaded nano-systems.

Objective To study on whitening and anti -aging effect of ginseng saponin and its safety.Methods Whitening effect:using vitamin C as the control drug, the inhibition rate of tyrosinase was determined.Anti senescence effect: the aging model of D-was established, and the DPPH was applied to the skin of the rat's neck, and the drug was prepared by 2 times a day.Skin safety evaluation: the skin changes of the skin of the ginseng saponins were observed after the skin was given ginseng saponin and control drugs.Results When the concentration of ginsenoside was 7 mg/mL, the inhibition rate order was, the water solution of vitamin C >ginsenoside nano >ginsenoside aqueous solution ; In the aging model, the surface of the elastic fibers and the skin surface was parallel to the skin, but the elastic fibers were arranged in a more tortuous and non parallel to the skin;DPPH free radical scavenging effect order was, Vitamin C aqueous solution>ginsenoside nano>ginsenoside aqueous solution, and with the dosage of ginsenoside increasing, the efficiency of ginsenoside DPPH scavenging free radical increased significantly;Skin safety evaluation results showed that ginseng saponin nanometer milk smeared skin, no redness, irritation and other phenomena occured.Conclusion Ginseng saponin nanometer milk has obvious whitening effect, and can not cause damage to the skin, is safe and reliable.

10.3969/j.issn.2095-4344.2013.23.012

Objective:To establish an early warning model for acute pancreatitis (AP) complicated with acute respiratory distress syndrome (ARDS) and to evaluate its diagnostic value.Methods:Acute pancreatitis patients treated in the Emergency Department of Peking University People's Hospital from January 2018 to January 2021 were selected as the research subjects. At 14 days after the diagnosis of acute pancreatitis, the patients were divided into the ARDS group and the control group according to whether ARDS occurred. The general characteristics, laboratory examination results, imaging features, and clinical scores of the two groups of patients were compared. One-way analysis was performed first, and the indicators with statistical and clinical significance were then analyzed by multivariate logistic analysis. Finally, a risk prediction model was established, and the diagnostic sensitivity and specificity of the predictive model were calculated. The receiver operating characteristic (ROC) curve was plotted, and the area under the curve (AUC) was calculated. The diagnostic value of the model was compared with the Ranson score and BISAP score.Results:A total of 442 patients were selected for this study, including 72 patients in the ARDS group and 370 patients in the control group. Compared to the control group, the ARDS group had a higher proportion of early fever and a lower oxygenation index. Inflammatory indicators γ- GGT, blood amylase, blood urea nitrogen, and blood glucose levels in the ARDS group were significantly higher than those in the control group, while blood calcium, plasma albumin, and carbon dioxide binding capacity levels were significantly lower than those in the control group. Univariate and multivariate logistic regression analysis was conducted on the statistically significant and clinically significant indicators mentioned above. The increased neutrophil count ( OR=2.838, 95% CI: 1.339-6.018, P=0.007), increased procalcitonin level ( OR=1.198, 95% CI: 1.025-1.399, P=0.023), increased blood urea nitrogen level ( OR=1.665, 95% CI: 1.463-1.955, P=0.027) and the decreased oxygenation index ( OR=0.603, 95% CI: 0.384-0.949, P=0.029) were associated with acute pancreatitis complicated with ARDS. According to the above factors, an early warning model for acute pancreatitis patients complicated with ARDS was established: logistic ARDS/A P=35.131+1.043NEUT+0.408BUN-0.505OI+0.18PCT. The diagnostic sensitivity of this early warning model was 84.72% (61/72), the specificity was 85.68% (317/370), the positive predictive value was 53.51% (61/114), the negative predictive value was 96.64% (317/328), the diagnostic accuracy was 85.52% (378/442), and the area under the ROC curve was 0.894 (95% CI: 0.851-0.938). The predictive ability of this early warning model in acute pancreatitis complicated with ARDS was superior to the Ranson score, BISAP score, APACHE Ⅱ score and CTSI score (AUC: 0.894 vs. 0.823 vs.0.756 vs. 0.818 vs.0.723). Conclusions:The prediction model based on neutrophil count, blood urea nitrogen, early oxygenation index and procalcitonin has the value of early prediction of acute pancreatitis complicated with ARDS, and is superior to other scoring systems, which can better guide treatment and improve prognosis.