在ibuprofen代谢上对CYP2C19和CYP3A4基因多态的功能评估
Ling-Jing Yuan1, Xiang-Yu Li2, Jin-Huan Ni3
1Department of Pharmacy, Shaoxing Second Hospital, Shaoxing, Zhejiang, China.
Toxicology and applied pharmacology
|August 13, 2023
概括
在CYP2C19和CYP3A4的遗传变异显著改变ibuprofen代谢. 这项研究描述了中国人群中的这些遗传差异,突出了由于药物清除的改变而导致药物不良反应的潜在风险.
科学领域:
- 药物基因组学 药物基因组学
- 药物新陈代谢 药物新陈代谢
- 生物化学 生物化学
背景情况:
- 布洛芬是一种广泛使用的止痛药,但由于药物代谢的遗传差异,个体反应有所不同.
- 细胞染色体P450 (CYP) 酶多态性,特别是CYP2C19和CYP3A4,是影响药物代谢的关键因素.
- 了解这些遗传变异对于预测药物疗效和预防不良事件至关重要.
研究的目的:
- 研究CYP2C19和CYP3A4遗传多态化对中国人群中的布洛芬代谢的影响.
- 描述各种CYP2C19和CYP3A4基因型的动态参数,涉及ibuprofen.
- 为个性化医学提供对特定人群ibuprofen代谢的见解.
主要方法:
- 使用昆虫表达系统识别和描述31种CYP2C19和12种CYP3A4酶变体.
- 通过成熟的化系统和超高性能液体染色学-并联质谱法 (UPLC-MS/MS) 来评估变异,用于代谢物分析.
- 通过迈凯利斯-门建模,确定动力参数,包括内在清除率 (CLint).
主要成果:
- 与野生类型酶相比,大多数研究的CYP变体显示出明显改变的内在清除.
- 在CYP2C19途径中,15种变体显示CLint降低 (1-71%),而6种变体显示CLint增加 (121-291%).
- 在CYP3A4通路中,10种变体显示CLint减少,而CYP3A4*30没有可检测的活性.
结论:
- 这项研究提供了许多CYP2C19和CYP3A4基因型对ibuprofen代谢的首次动态表征.
- 代谢表型较差的个体有较高的易布洛芬相关药物暴露和不良反应的风险.
- 整合动力数据与人工智能可能有助于预测布洛芬毒性并减轻药物不良反应.
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