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Models for skin and brain penetration of major components from essential oils used in aromatherapy for dementia patients

机译:来自糖尿病患者芳香疗法的精油的主要成分皮肤和脑渗透模型

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Aromatherapy with essential oils (EOs) has been linked to improvement of cognitive function in patients with dementia. In order to act systemically, active EO components must be absorbed through the skin, enter the systemic circulation, and cross the blood brain barrier (BBB). Thus, the aim of this work was to develop quantitative structure activity relationships (QSARs), to predict skin and blood barrier penetrative abilities of 119 terpenoids from EOs used in aromatherapy. The first model was based on experimentally measured skin permeability for 162 molecules, and the second model on BBB permeability for 138 molecules. Each molecule was encoded with 63 calculated molecular descriptors and an artificial neural network was used to correlate molecular descriptors to permeabilities. Developed QSAR models confirm that EOs components penetrate through the skin and across the BBB. Some well-known descriptors, such as log P (lipophilicity), molecular size and shape, dominated the QSAR model for BBB permeability. Compounds with the highest predicted BBB penetration were hydrocarbon terpenes with the smallest molecular size and highest lipophilicity. Thus, molecular size is a limiting factor for penetration. Compounds with the highest skin permeability have slightly higher molecular size, high lipophilicity and low polarity. Our work shows that a major disadvantage of novel multitarget compounds developed for the treatment of Alzheimer's disease is the size of molecules, which cause problems in their delivery to the brain. Therefore, there is a need for smaller compounds, which possess more desirable physicochemical properties and pharmacokinetics, in addition to targeted biological effects. Communicated by Ramaswamy H. Sarma
机译:具有精油(EOS)的芳香疗法已与痴呆患者的认知功能的改善有关。为了全身行动,活性EO组件必须通过皮肤吸收,进入全身循环,并穿过血脑屏障(BBB)。因此,这项工作的目的是开发定量结构活动关系(QSAR),以预测来自芳香疗法中使用的EOS的皮肤和血液阻隔渗透性能力。第一模型基于对162分子的实验性皮肤渗透性,以及对138分子的BBB渗透性的第二模型。每个分子用63个计算的分子描述符编码,并且使用人工神经网络与渗透性相关的分子描述符。开发的QSAR模型确认EOS组件穿过皮肤和BBB。一些众所周知的描述符,例如log p(亲脂性),分子尺寸和形状,以Bbb渗透率的QSAR模型为主。具有最高预测的BBB渗透的化合物是具有最小的分子大小和最高亲脂性的烃类萜烯。因此,分子大小是渗透的限制因素。具有最高的皮肤渗透性的化合物具有略高的分子尺寸,高亲脂性和低极性。我们的作品表明,为治疗阿尔茨海默病制定的新型多元化化合物的主要缺点是分子的大小,导致其交付给大脑的问题。因此,除了靶向生物学效应之外,还需要更小的化合物,其具有更理想的物理化学性质和药代动力学。由Ramaswamy H. Sarma沟通

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