Structures of G-protein coupled receptor HCAR3 in complex with selective agonists reveal the basis for ligand recognition and selectivity

The hydroxycarboxylic acid receptors (HCAR2 and HCAR3), also known as prototypical metabolite-sensing receptors, are key targets for treating dyslipidemia and metabolic disorders. While HCAR2 activation, but not HCAR3 activation, is associated with side effects of cutaneous flushing, the structural features and ligand preferences of HCAR3 remain less understood. Here, we used Sf9 cells to express HCAR3-Gi and HCAR2-Gi complexes, and present cryo-EM structures of HCAR3-Gi complexes with agonists compound 6O (3.31 Å), D-phenyllactic acid (3.05 Å), IBC293 (3.26 Å), and acifran (3.18Å), as well as HCAR2-Gi complex with agonist acifran (2.72 Å). Our findings reveal the mechanism behind 6O's highest affinity to HCAR3, attributed to its full occupation of both R1 and R2 regions of the orthosteric binding pocket. Moreover, combined with cAMP assay in HEK-293 cells, we have elucidated that the ligand selectivity between HCAR3 and HCAR2 depended on π-π interaction with F1073.32 (L1073.32 in HCAR2) and ligand-binding pocket size difference, facilitated by key residues difference V/L832.60, Y/N862.63, and S/W9123.48. Collectively, these structural insights lay the groundwork for developing HCAR3-specific drugs, potentially avoiding HCAR2-induced adverse effects.

Authors

Institutions

Publication Details

Journal
PLoS Biology
Published
2025-12-08
DOI
https://doi.org/10.1371/journal.pbio.3003480
Primary Topic
Receptor Mechanisms and Signaling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structures of G-protein coupled receptor HCAR3 in complex with selective agonists reveal the basis for ligand recognition and selectivity

Qian Miao, Zhangsong Wu, Bangning Cheng, Peiruo Ning et al.
PLoS Biology
Receptor Mechanisms and Signaling
article

Structures of G-protein coupled receptor HCAR3 in complex with selective agonists reveal the basis for ligand recognition and selectivity

Qian Miao, Zhangsong Wu, Bangning Cheng, Peiruo Ning, Yong Chi, Nan‐Jie Gong, Xin Pan, Lizhe Zhu, Xinyu Li, Geng Chen, Fang Ye, Yang Du, Jiaxi Deng, Binghao Zhang, Lezhi Xu, Chungen Qian, Qian Wang, Zhiyi Zhang, Zhigang Ma
article en

Abstract

The hydroxycarboxylic acid receptors (HCAR2 and HCAR3), also known as prototypical metabolite-sensing receptors, are key targets for treating dyslipidemia and metabolic disorders. While HCAR2 activation, but not HCAR3 activation, is associated with side effects of cutaneous flushing, the structural features and ligand preferences of HCAR3 remain less understood. Here, we used Sf9 cells to express HCAR3-Gi and HCAR2-Gi complexes, and present cryo-EM structures of HCAR3-Gi complexes with agonists compound 6O (3.31 Å), D-phenyllactic acid (3.05 Å), IBC293 (3.26 Å), and acifran (3.18Å), as well as HCAR2-Gi complex with agonist acifran (2.72 Å). Our findings reveal the mechanism behind 6O's highest affinity to HCAR3, attributed to its full occupation of both R1 and R2 regions of the orthosteric binding pocket. Moreover, combined with cAMP assay in HEK-293 cells, we have elucidated that the ligand selectivity between HCAR3 and HCAR2 depended on π-π interaction with F1073.32 (L1073.32 in HCAR2) and ligand-binding pocket size difference, facilitated by key residues difference V/L832.60, Y/N862.63, and S/W9123.48. Collectively, these structural insights lay the groundwork for developing HCAR3-specific drugs, potentially avoiding HCAR2-induced adverse effects.

PLoS BiologyVol. 23(12)
Guangxi University (CN), Shenzhen University (CN), Chinese University of Hong Kong, Shenzhen (CN), University of Hong Kong - Shenzhen Hospital (CN), Shenzhen University Health Science Center (CN), Yangzhou University (CN)
Openalex Percentile: Top 64%
Receptor Mechanisms and Signaling
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.