Evidence map›Paper›PMID 39774464›Full record

ArticlePLoS pathogens2025

Cross-species recognition of two porcine coronaviruses to their cellular receptor aminopeptidase N of dogs and seven other species.

Yuyang Tian, Junqing Sun, Xiaohan Hou, Zhimin Liu, Zeao Chen, Xiaoqian Pan, Ying Wang, Jianle Ren, Ding Zhang, Bo Yang and 8 more

Abstract read
In one paragraph

Article in PLoS pathogens, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Cell entry mechanisms of porcine enteric coronaviruses.The Journal of biological chemistry · 2026
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors.

Yuyang TianCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Junqing SunCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Xiaohan HouCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Zhimin LiuCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Zeao ChenCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Xiaoqian PanCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.
Ying WangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Jianle RenCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Ding ZhangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Bo YangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Longlong SiCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Yuhai BiCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Kefang LiuCAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences (CAS), Beijing, China.
Guijun ShangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Wen-Xia TianCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
Qihui WangCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.
George Fu GaoCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.ORCID 0000-0002-3869-615X
Sheng NiuCollege of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, China.ORCID 0000-0002-7090-9346

Funding

Distinguished and Excellent Young Scholar Cultivation Project of Shanxi Agricultural UniversityFundamental Research Program of Shanxi ProvinceNational Natural Science Foundation of ChinaScience and Technology Innovation Teams of Shanxi ProvinceShanxi Key Laboratory of Protein Structure Determina-tionSpecial Research Fund of Shanxi Agricultural University for High-level Talents
6 · The paper itself

Abstract

Porcine deltacoronavirus (PDCoV) and transmissible gastroenteritis coronavirus (TGEV), the two causative agents of porcine diarrhea, have been reported to be at risk of cross-species transmission, including to humans. However, the potential host range in which these two CoVs interact remains unclear. We screened 16 animal counterparts for porcine aminopeptidase N (APN), the receptor of PDCoV and TGEV, and found that APNs from eight of 17 animals could bind to the receptor-binding domains (RBDs) of PDCoV and TGEV. Furthermore, the animal APNs that could bind to the RBDs could mediate cellular infection by both viruses. Dog APN (dAPN) has been identified as the animal receptor with the highest capability to mediate the virus infection. We further resolved the complex structures of dAPN bound to the PDCoV RBD/TGEV RBD, respectively, establishing its divergent receptor-binding modes. We identified R325 of dAPN as an important residue in the PDCoV RBD-dAPN interaction, and found the central role of Q746 and T749 in dAPN in the interaction with the TGEV RBD. These findings provide the molecular basis of the potential cross-species transmission of these two porcine CoVs and shed light on future surveillance of these CoVs.

Indexed as

CD13 AntigensCoronavirusCoronavirus InfectionsDeltacoronavirusReceptors, VirusSwine DiseasesTransmissible gastroenteritis virusAnimalsDogsHost SpecificityHumansSpecies SpecificitySwineCD13 AntigensReceptors, Virus

Identifiers

PMID39774464
PMCPMC11741606

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.