标题： 基于核磁共振的药代动力学代谢组学：一种用于评价传统草药药物的高效灵活工具 显示英文标题

标题： NMR based Pharmaco-metabolomics: An efficient and agile tool for therapeutic evaluation of Traditional Herbal Medicines

摘要： 传统印度（阿育吠陀）和中药已被用于治疗多种疾病数千年，因为它们的天然来源和较少的副作用。 然而，大多数这些传统药物的安全性和有效性数据（包括剂量和质量参数）远不足以满足支持其全球治疗使用的标准。 此外，由于这些草药成分复杂，大多数草药药物的机制理解仍然不足，这进一步限制了它们的广泛应用和接受度。 代谢组学——一种揭示疾病或其治疗干预所产生的改变代谢（生化效应）的新方法——在评估传统草药药物（THMs）的药理学和毒理学方面具有巨大潜力。 因此，它正逐渐成为基因组学、转录组学和蛋白质组学在药物产品（包括THMs）治疗评估中的相互补充技术；这种方法被称为药理代谢组学。 整个范式基于其提供代谢特征以确认疾病状态的能力，然后利用这些生物标志物的浓度谱来评估治疗反应。 核磁共振（NMR）光谱结合多变量数据分析目前是药理代谢组学研究的首选方法，因其无偏见、非破坏性以及样品制备要求 minimal。 在最近的过去，数十项基于NMR的药理代谢组学研究被致力于证明传统草药药物的治疗效果/安全性，并探索其潜在机制，取得了有希望的结果。 本文综述文章除了描述基于NMR的药理代谢组学涉及的技术和概念方面外，还总结了各种此类研究。 显示英文摘要

摘要： Traditional Indian (Ayurvedic) and Chinese herbal medicines have been used in the treatment of a variety of diseases for thousands of years because of their natural origin and lesser side effects. However, the safety and efficacy data (including dose and quality parameters) on most of these traditional medicines are far from sufficient to meet the criteria needed to support their world-wide therapeutic use. Also, the mechanistic understanding of most of these herbal medicines is still lacking due to their complex components which further limits their wider application and acceptance. Metabolomics -a novel approach to reveal altered metabolism (biochemical effects) produced in response to a disease or its therapeutic intervention- has huge potential to assess the pharmacology and toxicology of traditional herbal medicines (THMs). Therefore, it is gradually becoming a mutually complementary technique to genomics, transcriptomics and proteomics for therapeutic evaluation of pharmaceutical products (including THMs); the approach is so called pharmaco-metabolomics. The whole paradigm is based on its ability to provide metabolic signatures to confirm the diseased condition and then to use the concentration profiles of these biomarkers to assess the therapeutic response. Nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate data analysis is currently the method of choice for pharmaco-metabolomics studies owing to its unbiased, non-destructive nature and minimal sample preparation requirement. In recent past, dozens of NMR based pharmaco-metabolomic studies have been devoted to prove the therapeutic efficacy/safety and to explore the underlying mechanisms of THMs, with promising results. The current perspective article summarizes various such studies in addition to describing the technical and conceptual aspects involved in NMR based pharmaco-metabolomics.