Overlooked aspects of scaling enzyme activity through abundance across tissues and individuals: Insights from kcat measurements in matched liver and intestinal samples.

IF 4 3区 医学 Q1 PHARMACOLOGY & PHARMACY Drug Metabolism and Disposition Pub Date : 2026-04-01 Epub Date: 2025-12-29 DOI:10.1016/j.dmd.2025.100229
Zubida M Al-Majdoub, Jill Barber, Amin Rostami-Hodjegan, Aleksandra Galetin, Daniel Scotcher
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Abstract

Prediction of human intestinal metabolism within physiologically based pharmacokinetic models is now well established within drug development. Extrapolation of in vitro kinetic parameters accounts for differences in abundance between different in vitro systems and tissues. The existing data assume that the activity of CYP3A4 is consistent between the intestine and liver once adjusted for its tissue-specific expression level. However, the validity of this assumption for other enzymes and other tissues remains uncertain. In the current study, indicators of "activity per unit of enzyme," namely, turnover number (kcat) or specificity constant (ksp), were measured for 7 enzymes (CYP2C9, CYP2C19, CYP2D6, CYP3A4, UGT1A6, UGT2B7, and UGT2B17) in microsomes prepared from 4 paired (same donor) intestine and liver tissue samples. After excluding 1 donor with low intestinal activity, the intestinal kcat and ksp for the studied CYPs were within 2-fold of the liver values, with the exception of 1 donor with 4-fold lower CYP2D6 kcat in the intestine compared with the liver. Conversely, the UGT1A1 ksp and UGT2B7 kcat were 5-fold and 7-fold higher in intestinal microsomes compared with liver microsomes, respectively. Trends in interdonor variability in kcat were noted and require further evaluation in a larger set of donors. The current paradigm of extrapolation of hepatic metabolism data to predict in vivo first-pass metabolism in the intestine using tissue abundances appears to be valid for CYPs but should be approached with caution when predicting intestinal glucuronidation. SIGNIFICANCE STATEMENT: This study assessed whether hepatic metabolism data can predict intestinal metabolism in physiologically based pharmacokinetic models by comparing enzyme abundance and activity in matched liver and intestine microsomes from 4 donors. Seven key drug-metabolizing enzymes were quantified. While CYP-mediated intestinal metabolism could generally be predicted from liver data after adjusting for tissue abundance, caution is warranted for enzymes involved in intestinal glucuronidation, where assumptions of equivalent activity across tissues may not hold.

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通过组织和个体的丰度来衡量酶活性的被忽视的方面:来自匹配肝脏和肠道样本的kcat测量的见解。
在基于生理的药代动力学模型中预测人体肠道代谢现已在药物开发中得到很好的建立。体外动力学参数的外推说明了不同体外系统和组织之间丰度的差异。现有数据假设,一旦调整其组织特异性表达水平,CYP3A4的活性在肠和肝之间是一致的。然而,这一假设对其他酶和其他组织的有效性仍然不确定。本研究测量了4对(同一供体)肠道和肝脏组织样品制备的微粒体中7种酶(CYP2C9、CYP2C19、CYP2D6、CYP3A4、UGT1A6、UGT2B7和UGT2B17)的“单位酶活性”指标,即周转数(kcat)或特异性常数(ksp)。在排除1例肠道活性较低的供体后,除了1例肠道CYP2D6 kcat较肝脏低4倍的供体外,所研究CYPs的肠道kcat和ksp均在肝脏值的2倍以内。相反,肠道微粒体中的UGT1A1 ksp和UGT2B7 kcat分别是肝微粒体的5倍和7倍。注意到kcat的捐助者间变异性趋势,需要在更大的捐助者群体中进一步评价。目前利用组织丰度推断肝脏代谢数据来预测肠道内体内首过代谢的模式似乎对CYPs是有效的,但在预测肠道葡萄糖醛酸化时应谨慎对待。意义声明:本研究通过比较4名供体肝脏和肠微粒体的酶丰度和活性,评估肝脏代谢数据是否可以在基于生理的药代动力学模型中预测肠道代谢。对7种关键药物代谢酶进行定量分析。虽然在调整了组织丰度后,cypp介导的肠道代谢通常可以从肝脏数据中预测,但对于参与肠道葡萄糖醛酸化的酶,需要谨慎,因为跨组织等效活性的假设可能不成立。
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来源期刊
CiteScore
6.50
自引率
12.80%
发文量
128
审稿时长
3 months
期刊介绍: An important reference for all pharmacology and toxicology departments, DMD is also a valuable resource for medicinal chemists involved in drug design and biochemists with an interest in drug metabolism, expression of drug metabolizing enzymes, and regulation of drug metabolizing enzyme gene expression. Articles provide experimental results from in vitro and in vivo systems that bring you significant and original information on metabolism and disposition of endogenous and exogenous compounds, including pharmacologic agents and environmental chemicals.
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