HPLC‐UV analysis of bupropion and hydroxybupropion: Application to in vivo pharmacokinetic drug‐drug interaction studies between bupropion and potent CYP2B6 inhibitors

作者
Alan L. Myers,Jillissa C. Molnari,Bryant Moeller,Alan L. Myers
出处
期刊:The FASEB Journal [Wiley]
卷期号:24 (S1) 被引量:1
标识
DOI:10.1096/fasebj.24.1_supplement.967.9
摘要

Bupropion is a popular antidepressant that is also prescribed in the management of smoking cessation. In humans, bupropion is predominantly metabolized to its active metabolite hydroxybupropion by CYP2B6. Inhibitors of CYP2B6 have the potential to decrease the clearance of bupropion, leading to adverse drug toxicity. We sought to develop a sensitive HPLC‐UV assay to quantify plasma and brain concentrations of bupropion and hydroxybupropion; and apply the assay to assess in vivo pharmacokinetic (PK) drug‐drug interaction (DDI) studies between bupropion and potent CYP2B6 inhibitors. Tissue extraction followed by HPLC‐UV detected timolol (IS), hydroxybupropion and bupropion at 6, 11 and 36 minutes, respectively. The LOD for both compounds was 6.0 ng/ml, and the intra‐day and inter‐day coefficients of variation was ±12% in plasma and ±15% in whole brain tissue. We then utilized this novel technique to evaluate the PK of bupropion and hydroxybupropion following repeated administration of the known CYP2B6 inhibitor ticlopidine (5 mg/kg daily x 5 days) in CF‐1 mice. Ticlopidine increased the plasma area under the concentration curve ( AUC) of bupropion (2.0‐fold, p< 0.01) and decreased the plasma AUC of hydroxybupropion (1.2‐fold;p< 0.05). In whole brain tissue, ticlopidine increased the AUC of bupropion (1.3‐fold;p> 0.05)and decreased the AUC of hydroxybupropion (2.0‐fold;p< 0.001). In summary, we have developed a sensitive HPLC assay and suitable rodent model to evaluate in vivo PK DDI between bupropion and CYP2B6 inhibitors. Support: Drake Univ COPHS Intramural Research Grants.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
李爱国应助精明纸鹤采纳,获得10
1秒前
英俊的铭应助WYC采纳,获得10
1秒前
袁瑞发布了新的文献求助10
1秒前
4秒前
zoey0313完成签到,获得积分10
4秒前
memory发布了新的文献求助10
5秒前
5秒前
刘晴晴完成签到,获得积分10
5秒前
woshi123应助爱偷懒的Q采纳,获得10
5秒前
5秒前
5秒前
little_wang发布了新的文献求助10
6秒前
xuan发布了新的文献求助10
6秒前
6秒前
6秒前
慕青应助cpufigo采纳,获得10
8秒前
cos发布了新的文献求助10
8秒前
lingling发布了新的文献求助50
9秒前
完美世界应助DengHH采纳,获得10
10秒前
NexusExplorer应助妮妮采纳,获得10
10秒前
老实的小蜜蜂应助111采纳,获得10
11秒前
FashionBoy应助语青采纳,获得10
12秒前
华仔应助精明的文涛采纳,获得10
12秒前
无情菀完成签到,获得积分10
12秒前
12秒前
SciGPT应助平常的毛豆采纳,获得10
12秒前
ldm完成签到,获得积分10
14秒前
深情安青应助负责的归尘采纳,获得10
14秒前
15秒前
bkagyin应助真6采纳,获得10
15秒前
欢呼以柳完成签到,获得积分10
15秒前
英俊的誉发布了新的文献求助10
16秒前
16秒前
16秒前
xuan发布了新的文献求助30
16秒前
bella发布了新的文献求助10
17秒前
17秒前
17秒前
李爱国应助得到采纳,获得10
17秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7583093
求助须知:如何正确求助?哪些是违规求助? 9161776
关于积分的说明 19604859
捐赠科研通 7165133
什么是DOI,文献DOI怎么找? 3266207
关于科研通互助平台的介绍 2431164
邀请新用户注册赠送积分活动 2257518