Laboratory of Clinical and Translational Studies, National Institute on Alcohol Abuse and Alcoholism, 10 Center Drive, Bethesda, MD 20892, USA.
Alcohol Clin Exp Res. 2009 May;33(5):938-44. doi: 10.1111/j.1530-0277.2009.00906.x. Epub 2009 Mar 11.
Our previous studies have used intravenous (IV) clamping methods to demonstrate that family history positive (FHP) subjects exhibit a greater initial response to alcohol than family history negative (FHN) subjects. These results differ from other studies of family history of alcoholism (FHA) influences, most of which have used an oral alcohol challenge, suggesting that the route of administration may influence both the response to alcohol and FHA-related differences in response. To examine this possibility, one approach would be to directly compare responses following oral and IV alcohol administration in the same subjects. There is, however, a 3- to 4-fold variance, between- and within-subjects, in the breath alcohol concentrations (BrACs) following oral alcohol administration. Thus, our objective was to characterize the between-subject variability in the time course of BrACs following oral alcohol administration in healthy volunteers and to develop an IV infusion method to mimic the BrAC-time course attained following oral alcohol in the same subject.
This was a 2-session study in young adult, healthy, nondependent drinkers. In the first session, subjects ingested an oral dose of alcohol, based on total body water, to achieve a target peak BrAC of 80 mg%. In the second session, subjects received an IV infusion of ethanol designed to achieve the same BrAC time course as that achieved in the first session. The individualized infusion-rate profile was precomputed using a physiologically-based pharmacokinetic (PBPK) model for alcohol with model parameters adjusted to the individual's physiology. The peak BrACs (C(max)), times of peak BrAC (T(max)), and the areas under the BrAC vs. time curve (AUC) were compared between sessions to assess how closely the BrAC exposure during the IV infusion session mimicked the exposure following oral alcohol.
The time course of BrACs following oral alcohol administration showed a high degree of between-subject variability. Mean C(max), T(max), and AUC did not differ by gender, indicating that calculation of oral doses based on total body water results in comparable BrAC-time courses, on average, for females and males. The IV infusion driven BrAC-time profiles demonstrated good fidelity to the BrAC-time curves resulting from oral alcohol: the mean %difference in C(max) and AUC were both 11%, while the mean %difference for T(max) was 27%. This degree of variability is less than half that seen across individuals following oral alcohol administration, which was substantial [coefficient of variation (%CV) ranging from 22 to 52%].
Despite the use of standardized doses and controlled experimental conditions, there was substantial between-subject variability in the BrAC time course following oral administration of alcohol. The PBPK-model-based infusion method can mimic the BrACs attained with oral alcohol for individual subjects. This method provides a platform to evaluate effects attributable to the route of administration on the response to alcohol, as well as the influence of determinants such as family history of alcoholism on the alcohol response.
我们之前的研究使用静脉(IV)夹闭方法表明,家族史阳性(FHP)受试者对酒精的初始反应大于家族史阴性(FHN)受试者。这些结果与其他关于酒精家族史(FHA)影响的研究不同,大多数研究都使用口服酒精挑战,这表明给药途径可能会影响酒精的反应以及与 FHA 相关的反应差异。为了检验这种可能性,一种方法是在同一受试者中直接比较口服和 IV 酒精给药后的反应。然而,在口服酒精给药后,呼吸酒精浓度(BrAC)的个体内和个体间差异有 3 到 4 倍。因此,我们的目标是描述健康志愿者口服酒精后 BrAC 时间过程中的个体间变异性,并开发一种 IV 输注方法来模拟同一受试者口服酒精后达到的 BrAC 时间过程。
这是一项在年轻成年、健康、无依赖性饮酒者中进行的 2 期研究。在第一阶段,根据总体水,受试者摄入口服剂量的酒精,以达到 80mg%的目标峰值 BrAC。在第二阶段,受试者接受设计为达到与第一阶段相同 BrAC 时间过程的 IV 输注乙醇。使用基于生理学的药代动力学(PBPK)模型为酒精预先计算个体化输注率曲线,使用个体生理学参数对模型参数进行调整。在评估 IV 输注期间的 BrAC 暴露如何接近口服酒精后的暴露时,比较了两次会议之间的峰值 BrAC(C(max))、峰值 BrAC 时间(T(max))和 BrAC 与时间曲线下面积(AUC)。
口服酒精后 BrAC 的时间过程显示出高度的个体间变异性。C(max)、T(max)和 AUC 不因性别而异,表明基于总体水计算口服剂量会导致女性和男性的 BrAC 时间过程平均而言具有可比性。IV 输注驱动的 BrAC 时间曲线与口服酒精产生的 BrAC 时间曲线具有很好的相似性:C(max)和 AUC 的平均差异百分比均为 11%,而 T(max)的平均差异百分比为 27%。这种变异性程度不到口服酒精后个体间变异性的一半,差异很大[变异性系数(%CV)范围为 22%至 52%]。
尽管使用了标准化剂量和受控的实验条件,但口服酒精后 BrAC 的时间过程仍存在很大的个体间变异性。基于 PBPK 模型的输注方法可以模拟个体口服酒精后的 BrAC。该方法为评估给药途径对酒精反应的影响以及酒精反应的家族史等决定因素的影响提供了一个平台。