Suppr超能文献

基于吲唑的雌激素相关受体 α 配体作为潜在的抗糖尿病药物。

Indazole-based ligands for estrogen-related receptor α as potential anti-diabetic agents.

机构信息

Janssen Research & Development, LLC, Welsh and McKean Roads, Spring House, PA 19477-0776, USA.

Janssen Research & Development, LLC, Welsh and McKean Roads, Spring House, PA 19477-0776, USA.

出版信息

Eur J Med Chem. 2017 Sep 29;138:830-853. doi: 10.1016/j.ejmech.2017.07.015. Epub 2017 Jul 14.

Abstract

Estrogen-related receptor α (ERRα) is an orphan nuclear receptor that has been functionally implicated in the regulation of energy homeostasis. Herein is described the development of indazole-based N-alkylthiazolidenediones, which function in biochemical assays as selective inverse agonists against this receptor. Series optimization provided several potent analogues that inhibited the recruitment of a co-activator peptide fragment in vitro (ICs < 50 nM) and reduced fasted circulating insulin and triglyceride levels in a sub-chronic pre-diabetic rat model when administered orally (10 mg/kg). A multi-parametric optimization strategy led to the identification of 50 as an advanced lead, which was more extensively evaluated in additional diabetic models. Chronic oral administration of 50 in two murine models of obesity and insulin resistance improved glucose control and reduced circulating triglycerides with efficacies similar to that of rosiglitazone. Importantly, these effects were attained without the concomitant weight gain that is typically observed with the latter agent. Thus, these studies provide additional support for the development of such molecules for the potential treatment of metabolic diseases.

摘要

雌激素相关受体 α(ERRα)是一种孤儿核受体,其功能与能量稳态的调节有关。本文描述了基于吲唑的 N-烷基噻唑烷二酮的开发,它们在生化测定中作为该受体的选择性反向激动剂起作用。通过对系列化合物进行优化,得到了几个有效的类似物,它们在体外抑制了共激活肽片段的募集(IC<50nM),并在亚慢性糖尿病大鼠模型中经口服给药(10mg/kg)时降低了空腹循环胰岛素和甘油三酯水平。采用多参数优化策略鉴定出 50 为一种先进的先导化合物,并在其他糖尿病模型中对其进行了更广泛的评估。50 在两种肥胖和胰岛素抵抗的小鼠模型中的慢性口服给药改善了葡萄糖控制,并降低了循环甘油三酯,其疗效与罗格列酮相当。重要的是,这些作用的取得并没有伴随后者通常观察到的体重增加。因此,这些研究为开发此类药物治疗代谢性疾病提供了更多支持。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验