Structural insights into antagonist recognition by the vasopressin V2 receptor

The vasopressin V2 receptor (V2R), a class A G protein-coupled receptor, is essential for regulating body water homeostasis. V2R antagonists have emerged as promising treatments for hyponatremia; however, the absence of structural information for antagonist-bound V2R hampers our understanding of antagonist recognition and the targeted design of V2R antagonists. In this study, we present two cryo-electron microscopy structures of inactive V2R bound to the clinically approved antagonists tolvaptan and conivaptan. Combined with functional analyses and molecular dynamic simulations, these structures reveal distinct binding poses: tolvaptan is deeply inserted within the binding pocket, whereas conivaptan is positioned at a shallower depth. Integrated analyses further define critical pharmacophoric features governing antagonist activity and unveil a TM7 helical conformation-dependent antagonism mechanism that is distinct from classical GPCR inactivation modes. Our findings deepen understanding of antagonist recognition and antagonism of V2R, providing a foundation for the development of V2R-targeted therapies.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-11-04
DOI
https://doi.org/10.1038/s41467-025-64735-x
Citations
2
Primary Topic
Electrolyte and hormonal disorders
Type
article
Field-Weighted Citation Impact
3.04

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural insights into antagonist recognition by the vasopressin V2 receptor

Youwei Xu, Canrong Wu, Yangxia Tan, Tianwei Zhang et al.
2 citations
Nature Communications
Electrolyte and hormonal disorders
3.04
article

Structural insights into antagonist recognition by the vasopressin V2 receptor

Youwei Xu, Canrong Wu, Yangxia Tan, Tianwei Zhang, Benxun Pan, H. Eric Xu, Chongzhao You, Yue Chen, Yi Jiang, Kai Wu, Wanchao Yin, Hongli Liu, Yixiao Zhang, Yuan Si, Sanshan Jin, Dong Guo, Yu-Ling Yin, Hong Sun
article en
2 citations

Abstract

The vasopressin V2 receptor (V2R), a class A G protein-coupled receptor, is essential for regulating body water homeostasis. V2R antagonists have emerged as promising treatments for hyponatremia; however, the absence of structural information for antagonist-bound V2R hampers our understanding of antagonist recognition and the targeted design of V2R antagonists. In this study, we present two cryo-electron microscopy structures of inactive V2R bound to the clinically approved antagonists tolvaptan and conivaptan. Combined with functional analyses and molecular dynamic simulations, these structures reveal distinct binding poses: tolvaptan is deeply inserted within the binding pocket, whereas conivaptan is positioned at a shallower depth. Integrated analyses further define critical pharmacophoric features governing antagonist activity and unveil a TM7 helical conformation-dependent antagonism mechanism that is distinct from classical GPCR inactivation modes. Our findings deepen understanding of antagonist recognition and antagonism of V2R, providing a foundation for the development of V2R-targeted therapies.

Nature CommunicationsVol. 16(1)
Xuzhou Medical College (CN), Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), Ruijin Hospital (CN), ShanghaiTech University (CN), Shanghai Institute of Materia Medica (CN)
China Postdoctoral Science Foundation, National Key Research and Development Program of China, Program of Shanghai Academic Research Leader
Openalex Percentile: Top 7%
Electrolyte and hormonal disorders
3.04
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.