Evidence map›Paper›PMID 39261951›Full record

ArticleVirology journal2024

Quantification of the interaction forces between dengue virus and dopamine type-2 receptor using optical tweezers.

Jane C Arifin, Bo-Ying Tsai, Chun-Yu Chen, Li-Wei Chu, Yi-Ling Lin, Chau-Hwang Lee, Arthur Chiou, Yueh-Hsin Ping

Abstract read
In one paragraph

Article in Virology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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

8 authors.

Jane C ArifinInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Bo-Ying TsaiInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Chun-Yu ChenInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Li-Wei ChuDepartment and Institute of Pharmacology, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Yi-Ling LinInstitute of Biomedical Sciences, Academia Sinica, Taipei, 11529, Taiwan.
Chau-Hwang LeeInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Arthur ChiouInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan.
Yueh-Hsin PingInstitute of Biophotonics, National Yang Ming Chiao Tung University, Taipei, 11221, Taiwan. yhping@nycu.edu.tw.

Funding

Academia Sinica and Ministry of Science and Technology, Taiwan 107-0210-01-19-01Ministry of Science and Technology, Taiwan 109-2320-B-010-034-MY3Ministry of Science and Technology, Taiwan 110-2811-B-A49A-037National Science and Technology Council 112-2320-B-A49-044National Science and Technology Council,Taiwan 111-2811-B-A49A-047
6 · The paper itself

Abstract

backgroundDengue virus (DENV) causes the most significant mosquito-borne viral disease with a wide spectrum of clinical manifestation, including neurological symptoms associated with lethal dengue diseases. Dopamine receptors are expressed in central nervous system, and dopamine antagonists have been reported to exhibit antiviral activity against DENV infection in vivo and in vitro. Although identification of host-cell receptor is critical to understand dengue neuropathogenesis and neurotropism, the involvement of dopamine receptors in DENV infection remains unclear.

resultsWe exploited the sensitivity and precision of force spectroscopy to address whether dopamine type-2 receptors (D2R) directly interact with DENV particles at the first step of infection. Using optical tweezers, we quantified and characterized DENV binding to D2R expressed on Chinese hamster ovary (CHO) cells. Our finding suggested that the binding was D2R- and DENV-dependent, and that the binding force was in the range of 50-60 pN. We showed that dopamine antagonists prochlorperazine (PCZ) and trifluoperazine (TFP), previously reported to inhibit dengue infection, interrupt the DENV-D2R specific binding.

conclusionsThis study demonstrates that D2R could specifically recognize DENV particles and function as an attachment factor on cell surfaces for DENV. We propose D2R as a host receptor for DENV and as a potential therapeutic target for anti-DENV drugs.

Indexed as

CricetulusDengue VirusOptical TweezersReceptors, Dopamine D2AnimalsCHO CellsCricetinaeDengueDopamine AntagonistsHumansProtein BindingVirus AttachmentDopamine AntagonistsReceptors, Dopamine D2Dengue virusDopamine receptorForce spectroscopyOptical tweezersVirus-host interaction

Identifiers

PMID39261951
PMCPMC11391641

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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.