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Structural insights into the mechanism of phosphate recognition and transport by XPR1

Wenhui Zhang, Yanke Chen, Zeyuan Guan, Yong Wang, Meng Tang, Zhangmeng Du, Jie Zhang, Meng Cheng, Jiaqi Zuo, Yan Liu, Qiang Wang, Yanjun Liu, Delin Zhang, Ping Yin, Ling Ma and Zhu Liu ()
Additional contact information
Wenhui Zhang: Huazhong Agricultural University
Yanke Chen: Huazhong Agricultural University
Zeyuan Guan: Huazhong Agricultural University
Yong Wang: Zhejiang University
Meng Tang: Huazhong Agricultural University
Zhangmeng Du: Huazhong Agricultural University
Jie Zhang: Huazhong Agricultural University
Meng Cheng: Huazhong Agricultural University
Jiaqi Zuo: Huazhong Agricultural University
Yan Liu: Huazhong Agricultural University
Qiang Wang: Huazhong Agricultural University
Yanjun Liu: Huazhong Agricultural University
Delin Zhang: Huazhong Agricultural University
Ping Yin: Huazhong Agricultural University
Ling Ma: Huazhong Agricultural University
Zhu Liu: Huazhong Agricultural University

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract XPR1 is the sole protein known to transport inorganic phosphate (Pi) out of cells, a function conserved across species from yeast to mammals. Human XPR1 variants lead to cerebral calcium-phosphate deposition and primary familial brain calcification (PFBC), a hereditary neurodegenerative disorder. Here, we present the cryo-EM structure of human XPR1 in both its Pi-unbound and various Pi-bound states. XPR1 features 10 transmembrane α-helices forming an ion channel-like structure, with multiple Pi recognition sites along the channel. Pathogenic mutations in two arginine residues, which line the translocation channel, disrupt Pi transport. Molecular dynamics simulations reveal that Pi ion undergoes a stepwise transition through the sequential recognition sites during the transport process. Together with functional analyses, our results suggest that this sequential arrangement allows XPR1 to facilitate Pi ion passage via a “relay” process, and they establish a framework for the interpretation of disease-related mutations and for the development of future therapeutics.

Date: 2025
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DOI: 10.1038/s41467-024-55471-9

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