国家药品标准物质保障供应综合数据平台建设

目的：进一步提高国家药品标准物质供应保障的能力和水平,更好支撑药品监管需求和服务行业发展。方法：将信息化管理和分析方法与现有的标准物质管理技术要求相结合,研究建立数字化、可视化的数据共享系统。结果：建成的国家药品标准物质保障供应综合数据平台,可显示各品种的研制生产阶段和效率。结论：该平台试运行一年来已成为指导研制、生产和管理的有力抓手,为对接国际标准ISO 17034奠定了重要基础。     

Comparative study on main compounds in Ginkgo biloba L. base on mathematical statistics

In this paper, an HPLC-DAD-ELSD method was developed to determine main 20 components of Ginkgo bilobaL. leaves from different ages and sources, including six flavonol glycosides, five terpene lactones and nine organic acids. Using statistics method and establishing relevant mathematics models, the measured data has proceeded correlation analysis, principal component analysis, and regression statistics and the results showed generalityand specific characteristics. We defined p-hydroxybenzoicacid, catechinic, KRcG and ginkgolide A as characteristic indexes representing commonnessand specialityof Ginkgo biloba L. leaf. The four characteristic indexes can reflect the quality of Ginkgo biloba L. leaf, and the internal relations between them are significant.The contents of other compounds could define the quantity relation with characteristic markers. It simplified the approach of quality control, and provided a basis for quality control of Ginkgo biloba L.     

Radiomics in liver diseases: Current progress and future opportunities

Liver diseases, a wide spectrum of pathologies from inflammation to neoplasm, have become an increasingly significant health problem worldwide. Noninvasive imaging plays a critical role in the clinical workflow of liver diseases, but conventional imaging assessment may provide limited information. Accurate detection, characterization and monitoring remain challenging. With progress in quantitative imaging analysis techniques, radiomics emerged as an efficient tool that shows promise to aid in personalized diagnosis and treatment decision‐making. Radiomics could reflect the heterogeneity of liver lesions via extracting high‐throughput and high‐dimensional features from multi‐modality imaging. Machine learning algorithms are then used to construct clinical target‐oriented imaging biomarkers to assist disease management. Here, we review the methodological process in liver disease radiomics studies in a stepwise fashion from data acquisition and curation, region of interest segmentation, liver‐specific feature extraction, to task‐oriented modelling. Furthermore, the applications of radiomics in liver diseases are outlined in aspects of diagnosis and staging, evaluation of liver tumour biological behaviours, and prognosis according to different disease type. Finally, we discuss the current limitations of radiomics in liver disease studies and explore its future opportunities.     

泛素-蛋白酶体系统与呼吸系统疾病

蛋白是细胞功能的主要执行者,蛋白的质量和数量与细胞功能和疾病有着密切的联系。蛋白的降解系统控制着蛋白的数量,泛素一蛋白酶体系统是细胞内蛋白的主要降解系统,负责细胞内大部分蛋白的降解。对于泛素一蛋白酶体与心血管、肿瘤和神经系统的关系目前研究的比较多,一些新的I艋床药物也应运到临床为患者带来福音。而该系统与呼吸系统疾病关系的研究并不多,了解泛素一蛋白酶体系统在呼吸系统疾病中的作用对于呼吸系统疾病的防治有重要的意义。