Noor Fozia
Biochemical Engineering Institute, Saarland University, Saarbrücken, Germany.
J Physiol. 2015 Dec 1;593(23):5043-55. doi: 10.1113/JP271124. Epub 2015 Nov 4.
Cholestatic-liver diseases (CLDs) arise from diverse causes ranging from genetic factors to drug-induced cholestasis. The so-called diseases of civilization (obesity, diabetes, metabolic disorders, non-alcoholic liver disease, cardiovascular diseases, etc.) are intricately implicated in liver and gall bladder diseases. Although CLDs have been extensively studied, there seem to be important gaps in the understanding of human disease. Despite the fact that many animal models exist and substantial clinical data are available, translation of this knowledge towards therapy has been disappointingly limited. Recent advances in liver cell culture such as in vivo-like 3D cultivation of human primary hepatic cells, human induced pluripotent stem cell-derived hepatocytes; and cutting-edge analytical techniques such as 'omics' technologies and high-content screenings could play a decisive role in deeper mechanistic understanding of CLDs. This Topical Review proposes a roadmap to human biology-based research using omics technologies providing quantitative information on mechanisms in an adverse outcome/disease pathway framework. With modern sensitive tools, a shift in paradigm in human disease research seems timely and even inevitable to overcome species barriers in translation.
胆汁淤积性肝病(CLDs)由多种原因引起,从遗传因素到药物性胆汁淤积不等。所谓的文明病(肥胖、糖尿病、代谢紊乱、非酒精性肝病、心血管疾病等)与肝脏和胆囊疾病有着复杂的关联。尽管对CLDs已经进行了广泛研究,但在对人类疾病的理解上似乎仍存在重大差距。尽管存在许多动物模型且有大量临床数据可用,但将这些知识转化为治疗方法的进展却令人失望地有限。肝细胞培养的最新进展,如人原代肝细胞的体内样三维培养、人诱导多能干细胞衍生的肝细胞;以及前沿分析技术,如“组学”技术和高内涵筛选,可能在更深入地理解CLDs的机制方面发挥决定性作用。本专题综述提出了一条基于人类生物学研究的路线图,使用组学技术在不良结局/疾病途径框架中提供有关机制的定量信息。借助现代灵敏工具,在人类疾病研究中转变范式似乎是适时的,甚至是不可避免的,以克服转化过程中的物种障碍。