Suppr超能文献

核激素受体家族2化学工具的比较评估与分析

Comparative Evaluation and Profiling of Chemical Tools for the Nuclear Hormone Receptor Family 2.

作者信息

Lewandowski Max, Busch Romy, Marschner Julian A, Merk Daniel

机构信息

Ludwig-Maximilians-Universität München, Department of Pharmacy, 81377 Munich, Germany.

出版信息

ACS Pharmacol Transl Sci. 2025 Mar 14;8(3):854-870. doi: 10.1021/acsptsci.4c00719. Epub 2025 Feb 20.

Abstract

Nuclear receptors regulate transcription in response to ligand signals and enable the pharmacological control of gene expression. However, many nuclear receptors are still poorly explored and are not accessible to ligand-based target identification studies. In particular, most members of the NR2 family are among the least studied proteins of the class, and apart from the retinoid X receptors (RXR), validated NR2 ligands are very rare. Here, we gathered the NR2 modulators reported in literature for comparative profiling in uniform test systems. Most candidate compounds displayed insufficient on-target activity or selectivity to be used as chemical tools for NR2 receptors underscoring the urgent need for further NR2 ligand development. Nevertheless, a small NR2 modulator set could be assembled for application in a chemogenomic fashion. There are 48 ligand-activated transcription factors in humans forming the superfamily of nuclear receptors (NRs, Figure 1a), which translate (endogenous) ligand signals into changes in gene expression patterns. The multifaceted roles of NRs span pivotal physiological processes, encompassing metabolism, inflammation, and cellular differentiation. Over decades, the NR1 and NR3 receptor families, including (steroid) hormone receptors and lipid sensors, have emerged as well-explored therapeutic targets of essential drugs like, for example, glucocorticoids as anti-inflammatory drugs, estrogen receptor modulators as contraceptives and anticancer agents, and PPAR agonists as oral antidiabetics. Despite this progress, a significant portion of the NR superfamily remains understudied, particularly within the NR2 family which comprises the hepatocyte nuclear factor-4 receptors (HNF4α/γ; NR2A1/2), the retinoid X receptors (RXRα/β/γ; NR2B1-3), the testicular receptors (TR2/4; NR2C1/2), the tailless-like receptors (TLX and PNR; NR2E1/3), and the COUP-TF-like receptors (COUP-TF1/2, V-erBA-related gene; NR2F1/2/6). Apart from RXR, all NR2 receptors are considered as orphan, and their ligands remain widely elusive. Therefore, chemical tools for most NR2 receptors are rare and poorly annotated posing an obstacle to target identification and validation studies. To enable chemogenomics on NR2 receptors and improve annotation, of the few available ligands, we gathered a scarce collection of NR2 modulators (agonists, antagonists, inverse agonists) for comparative evaluation and profiling. While the NR2B family (RXR) is well covered with high-quality ligands and a few early tools are available for NR2E1, we found the available ligands of the NR2A and NR2C families of insufficient quality to be used as chemical tools.

摘要

核受体响应配体信号调节转录,并实现对基因表达的药理学控制。然而,许多核受体仍未得到充分研究,基于配体的靶点识别研究也难以对其进行探索。特别是,NR2家族的大多数成员是该类别中研究最少的蛋白质之一,除了维甲酸X受体(RXR)外,经过验证的NR2配体非常罕见。在这里,我们收集了文献中报道的NR2调节剂,以便在统一的测试系统中进行比较分析。大多数候选化合物的靶向活性或选择性不足,无法用作NR2受体的化学工具,这凸显了进一步开发NR2配体的迫切需求。尽管如此,仍可组装一小套NR2调节剂,以化学基因组学的方式应用。人类中有48种配体激活的转录因子,形成了核受体超家族(NRs,图1a),它们将(内源性)配体信号转化为基因表达模式的变化。NRs的多方面作用涵盖了关键的生理过程,包括代谢、炎症和细胞分化。几十年来,NR1和NR3受体家族,包括(类固醇)激素受体和脂质传感器,已成为深入研究的基本药物治疗靶点,例如,糖皮质激素作为抗炎药,雌激素受体调节剂作为避孕药和抗癌药,以及PPAR激动剂作为口服抗糖尿病药。尽管取得了这一进展,但NR超家族的很大一部分仍未得到充分研究,特别是在NR2家族中,该家族包括肝细胞核因子-4受体(HNF4α/γ;NR2A1/2)、维甲酸X受体(RXRα/β/γ;NR2B1-3)、睾丸受体(TR2/4;NR2C1/2)、无尾样受体(TLX和PNR;NR2E1/3)以及COUP-TF样受体(COUP-TF1/2,V-erBA相关基因;NR2F1/2/6)。除了RXR,所有NR2受体都被认为是孤儿受体,它们的配体仍然广泛难以捉摸。因此,大多数NR2受体的化学工具很少且注释不佳,这对靶点识别和验证研究构成了障碍。为了在NR2受体上实现化学基因组学并改进注释,我们从少数可用配体中收集了一组稀缺的NR2调节剂(激动剂、拮抗剂、反向激动剂)进行比较评估和分析。虽然NR2B家族(RXR)有高质量的配体,并且有一些早期工具可用于NR2E1,但我们发现NR2A和NR2C家族的可用配体质量不足以用作化学工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d677/7617459/bd935aec4c5f/EMS203540-f001.jpg

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