文献检索

查找使用阿拉丁产品的科研文献

检索与阿拉丁产品相关的同行评审论文、DOI、PubMed 编号、期刊、作者、CAS 号及研究领域。

科研影响力快照

与阿拉丁产品相关的已发表科研成果

在搜索之前,这些指标可帮助访客快速了解产品关联科研的规模与质量。

346,364+ SCI 论文 与阿拉丁产品引用相关
2,295,288.15 总影响因子 匹配文献记录中影响因子的总和
81.20 最高期刊影响因子 匹配期刊中的最高 IF
6.63 平均期刊影响因子 匹配文献的平均 IF

参考指标 指标基于阿拉丁文献引用数据库及期刊影响因子记录。文献关联仅供科研参考,请以原始文献为准。

热门产品

视图 列表 网格

1 项目

设置提升方向
U-47700
TOXICOLOGY AND APPLIED PHARMACOLOGY · 2025 · IF 3.4

Rat-to-human PBPK model of U-47700: Unveiling pharmacokinetic risks of a synthetic opioid through interspecies extrapolation

Lina Zhong,Longjie Li,Qingfeng He,Xiao Zhu,Ping Xiang,Xiaoqiang Xiang,Hui Yan

U-47700, a synthetic μ-opioid receptor agonist and emerging new psychoactive substance, poses critical public health risks due to its high abuse liability and fatal overdose potential. Ethical barriers prohibit clinical pharmacokinetic studies of such controlled substances, necessitating alternative approaches. Here, we developed the first physiologically based pharmacokinetic (PBPK) model for U-47700 by integrating in vitro experiments—including Caco-2 permeability, tissue-plasma partitioning, plasma protein binding, and human liver microsomal clearance. The rat PBPK model accurately predicted plasma concentration-time profiles across doses, and the metabolite's PBPK model was further established and validated to describe the kinetics of N -desmethyl-U-47700 and N , N -didesmethyl-U-47700. Human extrapolation via IVIVE ( in vitro-in vivo extrapolation) and allometric scaling revealed rapid systemic clearance (0.944–1.371 L/h/kg). For illicit drugs like U-47700, where clinical trials are unfeasible, this PBPK framework bridges computational modeling, preclinical insights, and real-world evidence, offering a critical tool to decode pharmacokinetic curves, estimate administration timelines from postmortem samples, and assess polydrug interaction risks. By enabling mechanistic insights into synthetic opioid toxicity, this work informs overdose prevention strategies and mitigates the societal impact of high-risk designer drugs.

CAS / MDL: 7558-80-7
研究领域: 毒理学 · 药理学 · 计算生物学
✓ 已验证 产品关联 DOI PubMed 高影响因子
查看原文 查看 PubMed
已复制

文献关联基于可获得的产品、CAS、DOI 及引用记录。收录不代表作者或出版方对阿拉丁产品的背书,请以原始文献为准。