Safety and pharmacokinetic interaction between fotagliptin, a dipeptidyl peptidase-4 inhibitor, and metformin in healthy subjects

最大值 医学 二肽基肽酶-4抑制剂 药代动力学 二甲双胍 置信区间 药理学 二肽基肽酶-4 联合疗法 内科学 2型糖尿病 生物等效性 曲线下面积 糖尿病 内分泌学 胰岛素
作者
Yanhua Ding,Hong Zhang,Cuiyun Li,Wenbo Zheng,Meng Wang,Ying Li,Haigang Sun,Min Wu
出处
期刊:Expert Opinion on Drug Metabolism & Toxicology [Taylor & Francis]
卷期号:17 (6): 725-731 被引量:6
标识
DOI:10.1080/17425255.2021.1915283
摘要

Background Dipeptidyl peptidase-4 (DPP-4) inhibitors have significant clinical efficacy for type 2 diabetes mellitus (T2DM). The combination of fotagliptin (FOT) with metformin (MET) is a promising therapeutic approach in MET-resistant patients. The aim of the present study was to evaluate the pharmacokinetic (PK) interaction between FOT and MET in healthy subjects after multiple-dose administration.Methods Eighteen participants received a randomized open-label, three period treatment that included MET 1000 mg alone, co-administration of FOT 24 mg and MET, followed by FOT 24 mg alone. Serial blood samples were collected for PK analysis, which included geometric mean ratios (GMRs) with 90% confidence intervals (CIs), area under the concentration–time curve (AUC), and maximum plasma concentration (Cmax).Results Analysis results showed that for FOT alone or combination therapy, the 90% CIs of the GMR for AUC0-24,ss and Cmax,ss were 102.08% (98.9%, 105.36%) and 110.65% (102.19%, 119.82%), respectively. For MET, they were 113.41% (100.32%, 128.22%) and 97.11% (83.80%, 112.55%) for AUC0-12,ss and Cmax,ss, respectively. FOT or MET monotherapy and the combination therapy with both drugs were well tolerated.Conclusions No PK drug-drug interactions were found in the combination therapy with FOT and MET. Therefore, FOT can be co-administered with MET without dose adjustment.Trial registration The trial is registered at http://www.chinadrugtrials.org.cn/(Registration No. CTR20190221).
最长约 10秒,即可获得该文献文件

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
yy发布了新的文献求助10
2秒前
daishuheng发布了新的文献求助10
2秒前
ccc6195发布了新的文献求助20
2秒前
stupid发布了新的文献求助10
3秒前
小章鱼发布了新的文献求助10
3秒前
3秒前
345给345的求助进行了留言
3秒前
4秒前
脑洞疼应助独角戏采纳,获得30
4秒前
风趣思山发布了新的文献求助10
4秒前
limh完成签到,获得积分10
4秒前
4秒前
4秒前
余如龙完成签到,获得积分10
5秒前
6秒前
6秒前
搜集达人应助yoyo采纳,获得10
6秒前
quan完成签到,获得积分10
6秒前
泠漓发布了新的文献求助10
7秒前
songkoro完成签到,获得积分10
7秒前
脑洞疼应助daishuheng采纳,获得10
8秒前
Mashiro完成签到,获得积分10
8秒前
大个应助橘子味汽水采纳,获得10
8秒前
pikachu完成签到,获得积分10
8秒前
思源应助时光太浅丶采纳,获得10
9秒前
9秒前
9秒前
范范发布了新的文献求助10
9秒前
xuan发布了新的文献求助10
10秒前
自信的昊强完成签到,获得积分10
10秒前
11秒前
orixero应助stupid采纳,获得10
11秒前
11秒前
CipherSage应助呆萌的山柏采纳,获得10
11秒前
柔弱绝施发布了新的文献求助10
11秒前
12秒前
胡英俊完成签到,获得积分20
12秒前
12秒前
13秒前
爆米花应助铁柱采纳,获得10
14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