4.1 Article

Physiologically-based pharmacokinetic model for 2,4-dinitrophenol

期刊

出版社

SPRINGER/PLENUM PUBLISHERS
DOI: 10.1007/s10928-022-09806-y

关键词

2; 4-Dinitrophenol; PBPK; Obesity

资金

  1. NIH [GM114179, AI138195]
  2. Centre for Protein Therapeutics at University at Buffalo
  3. Donald F. and Edna G. Bishop Scholarship Foundation

向作者/读者索取更多资源

The study found that DNP has limited distribution in mice and exhibits significant nonlinear pharmacokinetics, possibly due to nonlinear protein binding and distribution. By enhancing our understanding of the pharmacokinetic-pharmacodynamic relationship, we can develop new weight loss strategies.
New approaches in drug development are needed to address the growing epidemic of obesity as the prevalence of obesity increases worldwide. 2,4-Dinitrophenol (DNP) is an oxidative phosphorylation uncoupling agent that was widely used in the early 1930s for weight loss but was quickly banned by the FDA due to the severe toxicities associated with the compound. One of the limitations leading to the demise of DNP as a pharmaceutical was a lack of understanding about the pharmacokinetic-pharmacodynamic relationship. The purpose of this study was to investigate whole body disposition of DNP in order to understand the relationship between the pharmacokinetics, efficacy and toxicity in the C57BL/6J diet induced obese mouse model. Following intravenous administration of 1 mg/kg, and intraperitoneal administration of 5 mg/kg and 15 mg/kg of DNP, we found limited DNP distribution to tissues. Experimentally measured partition coefficients were found to be less than 1 for all analyzed tissues. In addition, DNP exhibits significant nonlinear pharmacokinetics, which we have attributed to nonlinear plasma protein binding and nonlinear partitioning into liver and kidney. By enhancing our understanding of the PK-PD relationship, we can develop new approaches to leverage oxidative phosphorylation uncoupling as a weight loss strategy.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.1
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据