Department of Toxicology, University of Cagliari, Italy.
Curr Med Chem. 2012;19(27):4654-61. doi: 10.2174/092986712803306448.
The purpose of this review is to describe the state of the art of the pharmacological applications in perinatal medicine and highlight how a new emerging discipline, metabolomics, may have a significant impact on understanding complex biological processes associated with the drugs actions. Currently, there is great demand for new information regarding the use of drugs, especially during the perinatal period in order to minimize the occurrence of adverse drug reactions and to maximize the desired therapeutic effect. Metabolomics is a functional genomic tool concerned with the high-throughput identification, quantification and characterization of small molecule metabolites. This new technique has been shown to have a great impact on classifying phenotypes, investigation of physiological status, diagnosing disease, measuring the response to treatment, discovering biomarkers, and identifying perturbed pathways due to disease or treatment. Metabolic profiles appear to be a key factor in predicting the outcome of a pathological condition and the individual's response to a pharmacological treatment. This new systems biology tool may have important potential implication for pharmacological science, in particular drug discovery, development, and prediction of the drug's effects on the body by explaining the mechanisms by which drug response causes adverse effects.
本文旨在介绍药物在围生医学中的应用的最新进展,并强调新出现的代谢组学如何可能对理解与药物作用相关的复杂生物学过程产生重大影响。目前,人们对药物使用的新信息有很大的需求,尤其是在围生期,以尽量减少不良反应的发生,并最大限度地发挥所需的治疗效果。代谢组学是一种功能基因组工具,涉及小分子代谢物的高通量鉴定、定量和特征描述。该新技术已被证明在表型分类、生理状态研究、疾病诊断、治疗反应测量、生物标志物发现以及因疾病或治疗而导致的受扰途径方面具有重大影响。代谢谱似乎是预测病理状况结果和个体对药物治疗反应的关键因素。这种新的系统生物学工具可能对药理学科学具有重要的潜在意义,特别是药物发现、开发以及通过解释药物反应引起不良反应的机制来预测药物对身体的影响。