Study of Herbal-Drug Interactions (HDIs) Using in Silico Methods – Mission (Im)Possible

K. Georgiev
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引用次数: 2

Abstract

Studying herb-drug interactions (HDIs) is extremely important for the clinical practice, as many patients with chronic diseases taking a number of conventional medicines, also take phytomedicines, decoyed by advertising, without realizing that these herbal products in some cases can be harmful instead of beneficial. Herbal extracts contain a very large range of substances (more than 200 sometimes) that can affect both the pharmacokinetic and the pharmacodynamic characteristics of the conventional therapy. However, can these interactions be evaluated by in vitro and in silico methods in order to be highly informative without major clinical trial costs? What are the difficulties that must be taken into account in order to overcome the trade-offs that are being made? This mini-review aims to address briefly these issues and and the difficulty of building the models and the simulations with herbal drugs. More patients suffering from chronic diseases are taking herbal medicines, claiming them to be effective agents with little or negligible undesirable effects. Many of them, however, could lead to important clinical herb-drug interactions (HDIs) [1-3]. Herbal extracts contain many biologically active substances, with specific pharmacological characteristics, which in some cases may act in different directions. The most common form of interaction is the inhibition of the activity of the cytochrome enzymes and, therefore, this mechanism will be largely considered [4]. Evaluation of possible drug interactions is most commonly evaluated in vitro, using isolated liver microsomes or recombinant forms of cytochrome enzymes [5,6]. The mechanism of the inhibition can be – reversible competitive, and irreversible, mechanism-based. The values of inhibitory concentration 50 (IC50) are calculated, which subsequently, after clarifying the mechanism of action, recalculate the inhibition constants (Ki – for reversible, KI and kinact – for irreversible inhibition). So far, the processes are not complicated to perform. According to the guidelines for studying drug interactions, basic static models are used to evaluate the potential of the new drug to cause drug-drug interactions (DDIs). However, in addition to the inhibitory constant, it is necessary to know the plasma concentration of the drug, in the case of plant extracts and fractions, because of the many substances in them, which is a problem. Alternatively, each plant extract exhibiting inhibitory potential on CYP3A4 can be tentatively calculated for the potential for herb-drug interactions with substrates of enterocytic CYP3A4 isoenzymes, using the basic static equations, where plasma concentrations are exchanged with concentrations in GIT, namely:
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用计算机方法研究草药-药物相互作用(hdi) -任务(可能)
研究草药相互作用(hdi)对临床实践极为重要,因为许多慢性病患者服用许多传统药物,也服用植物药,被广告欺骗,没有意识到这些草药产品在某些情况下可能是有害的而不是有益的。草药提取物含有非常广泛的物质(有时超过200种),这些物质可以影响传统疗法的药代动力学和药效学特性。然而,这些相互作用是否可以通过体外和计算机方法进行评估,以便在没有重大临床试验成本的情况下获得高度信息?为了克服正在进行的权衡,必须考虑到哪些困难?这篇综述的目的是简要地解决这些问题,以及建立草药模型和模拟的困难。越来越多的慢性疾病患者正在服用草药,声称它们是有效的药物,副作用很小或可以忽略不计。然而,其中许多可能导致重要的临床草药相互作用(hdi)[1-3]。草药提取物含有许多生物活性物质,具有特定的药理学特征,在某些情况下可能以不同的方向起作用。最常见的相互作用形式是抑制细胞色素酶的活性,因此,这一机制将被广泛考虑[4]。评估可能的药物相互作用最常在体外进行评估,使用分离的肝微粒体或重组形式的细胞色素酶[5,6]。抑制机制可以是可逆的竞争性的,也可以是不可逆的、基于机制的。计算抑制浓度50 (IC50)的值,然后在明确作用机制后,重新计算抑制常数(Ki -表示可逆抑制,Ki和kinact -表示不可逆抑制)。到目前为止,这些过程执行起来并不复杂。根据药物相互作用研究的指导原则,使用基本静态模型来评估新药引起药物相互作用(ddi)的可能性。但是,除了抑制常数,还需要知道药物的血浆浓度,在植物提取物和馏分的情况下,因为其中含有许多物质,这是一个问题。或者,每种对CYP3A4具有抑制潜力的植物提取物,可以使用基本的静态方程暂时计算出草药与肠细胞CYP3A4同工酶底物相互作用的潜力,其中血浆浓度与GIT浓度交换,即:
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