Hotspot pocket-based discovery of urea transporter selective inhibitors

Urea transporter (UT) inhibitors are a promising class of diuretics, as selective inhibitors targeting UT-A subtypes have demonstrated considerable therapeutic potential. Herein, we employ a two-round progressive hotspot pocket-based virtual screening approach combined with biological validation to identify M353-0039 as a highly potent and selective inhibitor of UT-A2. We conduct cryo-electron microscopy to solve the structures of UT-A2 bound with the two inhibitors, M353-0039 and E822-1968, at the resolution of 2.7 Å and 2.9 Å respectively, and elucidate the structural mechanism underlying the superior efficacy and selectivity of M353-0039. Compared with the inhibitor HQA2 and E822-1968, M353-0039 occupies a deeper binding pocket and forms more interactions with UT-A2, thus leading to greater inhibitory potency. We demonstrate that the selectivity of M353-0039 is driven by the nonconserved residues C285 and G322 within the "T-T" subpocket of UT-A2. Finally, we validate the selective effects of M353-0039 in inhibiting UT-A2 function both in mouse models and hepatic cell. These findings not only identify a selective inhibitor as a tool that can be applied to elucidate the unique physiological roles of UT-A2 but also provide an available method for efficiently developing UT-A-selective inhibitors with potent activity as the next-generation diuretics.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-04-20
DOI
https://doi.org/10.1038/s41467-026-71834-w
Primary Topic
Ion Transport and Channel Regulation
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Hotspot pocket-based discovery of urea transporter selective inhibitors

Juanjuan Zhao, Yuhao Miao, Xiao Yu, Jin‐Peng Sun et al.
Nature Communications
Ion Transport and Channel Regulation
article

Hotspot pocket-based discovery of urea transporter selective inhibitors

Juanjuan Zhao, Yuhao Miao, Xiao Yu, Jin‐Peng Sun, Guige Hou, Dongfang Li, Zhi Li, Zhizhen Huang, Yan Zhang, Lei Liu, Kongkai Zhu, Shenming Huang, Baoxue Yang, Boyang Cai, Daolai Zhang
article en

Abstract

Urea transporter (UT) inhibitors are a promising class of diuretics, as selective inhibitors targeting UT-A subtypes have demonstrated considerable therapeutic potential. Herein, we employ a two-round progressive hotspot pocket-based virtual screening approach combined with biological validation to identify M353-0039 as a highly potent and selective inhibitor of UT-A2. We conduct cryo-electron microscopy to solve the structures of UT-A2 bound with the two inhibitors, M353-0039 and E822-1968, at the resolution of 2.7 Å and 2.9 Å respectively, and elucidate the structural mechanism underlying the superior efficacy and selectivity of M353-0039. Compared with the inhibitor HQA2 and E822-1968, M353-0039 occupies a deeper binding pocket and forms more interactions with UT-A2, thus leading to greater inhibitory potency. We demonstrate that the selectivity of M353-0039 is driven by the nonconserved residues C285 and G322 within the "T-T" subpocket of UT-A2. Finally, we validate the selective effects of M353-0039 in inhibiting UT-A2 function both in mouse models and hepatic cell. These findings not only identify a selective inhibitor as a tool that can be applied to elucidate the unique physiological roles of UT-A2 but also provide an available method for efficiently developing UT-A-selective inhibitors with potent activity as the next-generation diuretics.

Nature Communications
Shandong University (CN), Xuzhou Medical College (CN), Peking University (CN), State Administration of Traditional Chinese Medicine of the People's Republic of China (CN), Laboratoire de Chémo-biologie synthétique et thérapeutique (FR), Second Hospital of Shandong University (CN), Qilu Hospital of Shandong University (CN), Shandong First Medical University (CN), Taizhou University (CN)
Shandong University, National Natural Science Foundation of China, Government of Jiangsu Province, Jinan University, Natural Science Foundation of Shandong Province, Peking University, Guangzhou Science and Technology Program key projects, China National Funds for Distinguished Young Scientists, National Science Fund for Distinguished Young Scholars
Openalex Percentile: Top 17%
Ion Transport and Channel Regulation
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.