基于本体的证候命名规范研究

探讨证候术语的几种常见的命名规律及关系词在证候术语规范化、标准化研究中的重要意义。     

海派名医祝味菊学术思想探析

祝味菊先生是"海派中医"的重要代表人物之一,学术上衷中参西,崇尚温阳,首提"八纲"一词,独创"伤寒五段""本体疗法"等思想,新解发热机制,重识四气五味,临床上善用附子,创多种温热配伍法,五段辨治疾病,临床疗效奇佳。     

基于《丹溪心法·痰》探讨肝癌发病与痰的相关性

肝癌的治疗目前对人类来说仍是一个难以攻克的难题。基于《丹溪心法·痰》对中医病理产物"痰"的认识与阐述,探讨肝癌与痰的病因病机相关性。通过阐述痰的本质、肝癌的病因病机与痰的关系论证肝癌与痰的相关性。并结合文献,对我国三个肝癌高发区致病危险因素的中医辨证进行分析,进一步阐明痰在肝癌发病中的重要促进作用,以期对肝癌的临床治疗发挥指导作用,重视肝癌从痰论治。     

Integration of life science databases

More than 500 biological databases exist at present. Searching and integrating data from various sources is often a prerequisite for research in the field of molecular biology and bioinformatics although it is a non-trivial task. This review starts with an overview of the sources of database heterogeneity. Some different database integration approaches will then be introduced, to support scientists and practitioners in finding and implementing the most appropriate integration method for their specific tasks.     

Analysis of pharmacological mechanisms of Yinyanghuo as treatment of erectile dysfunction with network pharmacology-based strategy

Erectile dysfunction is considered an important health problem that impacts the quality of life of men. Yinyanghuo, also called Epimedium or Horny Goat Weed, is a frequently used Chinese traditional herbal medicine, commonly used in treating erectile dysfunction in China. A network pharmacology method was performed systematically, at a molecular level, to analyse the pharmacological mechanism of Yinyanghuo as erectile dysfunction therapy. The network pharmacology method used in this study primarily includes prescreening of the active compounds, prediction of targets, network analysis and gene enrichment analysis. This network analysis proved that 4 targets (AR, NR3C2, PDE5A and BMP2) could be the targets of Yinyanghuo therapy on erectile dysfunction. Besides, gene enrichment analysis predicted that Yinyanghuo might have a role in erectile dysfunction by regulating 10 molecular functions, 8 cellular components, 10 biological processes and 36 possible targets related to 10 signalling pathways. Our study demonstrated the molecular and pharmacological mechanisms of Yinyanghuo against erectile dysfunction with a holistic approach and demonstrated a powerful method for analysing pharmacological mechanisms and rational utilisation of Traditional Chinese Medicine clinically.     

Altered chromatin landscape in circulating T follicular helper and regulatory cells following grass pollen subcutaneous and sublingual immunotherapy

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Tissue-specific functions based on information content of gene ontology using cap analysis gene expression

Gene expressions differ depending on tissue types and developmental stages. Analyzing how each gene is expressed is thus important. One way of analyzing gene expression patterns is to identify tissue-specific functions. This is useful for understanding how vital activities are performed. DNA microarray has been widely used to observe gene expressions exhaustively. However, comparing the expression value of a gene to that of other genes is impossible, as the gene expression value of a condition is measured as a proportion of that for the same gene under a control condition. We therefore could not determine whether one gene is more expressed than other genes. Cap analysis gene expression (CAGE) allows high-throughput analysis of gene expressions by counting the number of cDNAs of expressed genes. CAGE enables comparison of the expression value of the gene to that of other genes in the same tissue. In this study, we propose a method for exploring tissue-specific functions using data from CAGE. To identify tissue-specificity, one of the simplest ways is to assume that the function of the most expressed gene is regarded as the most tissue-specific. However, the most expressed gene in a tissue might highly express in all tissues, as seen with housekeeping genes. Functions of such genes cannot be tissue-specific. To remove these from consideration, we propose measuring tissue specificity of functions based on information content of gene ontology terms. We applied our method to data from 16 human tissues and 22 mouse tissues. The results from liver and prostate gland indicated that well-known functions of these tissues, such as functions related to signaling and muscle in prostate gland and immune function in liver, displayed high rank.