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抗结核药物的多方法定量味觉评估以支持可口儿科剂型的开发

Multi-Methodological Quantitative Taste Assessment of Anti-Tuberculosis Drugs to Support the Development of Palatable Paediatric Dosage Forms.

作者信息

Keating Alison V, Soto Jessica, Forbes Claire, Zhao Min, Craig Duncan Q M, Tuleu Catherine

机构信息

UCL School of Pharmacy, 29-39 Brunswick Square, London WC1N 1AX, UK.

Pfizer R&D UK Ltd., Ramsgate Road, Sandwich, Kent CT13 9ND, UK.

出版信息

Pharmaceutics. 2020 Apr 17;12(4):369. doi: 10.3390/pharmaceutics12040369.

Abstract

The unpalatability of antituberculosis drugs is often cited as a major cause of non-adherence in children, yet limited quantitative taste assessment data are available. The aim of this research was to quantify the bitterness of isoniazid, rifampicin, pyrazinamide, and ethambutol dihydrochloride using two in vivo (a human taste panel and a rat brief-access taste aversion (BATA) model) and one in vitro (sensor) method. The response of the Insent TS-5000Z electronic tongue was compared to the in vivo drug concentration found to elicit and suppress half the maximum taste response (EC in human and IC in rats). Using dose-relevant concentrations, an overarching rank order of bitterness was derived (rifampicin > ethambutol > pyrazinamid~isoniazid). In vitro, only ethambutol exhibited a linear response for all sensors/concentrations. Based on the EC/IC generated, a 'taste index' was proposed to allow for anticipation of the likelihood of taste issues in practice, taking in account the saturability in the saliva and therapeutic doses; ethambutol and isoniazid were found to be the worst tasting using this measure. The study presents the first quantitative taste analysis of these life-saving drugs and has allowed for a comparison of three methods of obtaining such data. Such information allows the operator to identify and prioritise the drugs requiring taste masking to produce palatable formulations.

摘要

抗结核药物的难吃性常被认为是儿童不依从治疗的主要原因,但现有的定量味觉评估数据有限。本研究的目的是使用两种体内方法(人体味觉小组和大鼠短期接触味觉厌恶(BATA)模型)和一种体外方法(传感器)来量化异烟肼、利福平、吡嗪酰胺和盐酸乙胺丁醇的苦味。将Insent TS-5000Z电子舌的响应与体内发现的能引发和抑制最大味觉反应一半的药物浓度(人体中的EC和大鼠中的IC)进行比较。使用与剂量相关的浓度,得出了苦味的总体排序(利福平>乙胺丁醇>吡嗪酰胺~异烟肼)。在体外,只有乙胺丁醇对所有传感器/浓度都表现出线性响应。基于所产生的EC/IC,提出了一个“味觉指数”,以考虑到唾液中的饱和性和治疗剂量,从而在实际中预测味觉问题的可能性;使用该指标发现乙胺丁醇和异烟肼的味道最差。该研究首次对这些救命药物进行了定量味觉分析,并对获取此类数据的三种方法进行了比较。这些信息使操作人员能够识别需要掩味以制成可口制剂的药物,并对其进行优先级排序。

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