Evidence map›Paper›PMID 39972477›Full record

ArticleJournal of biomedical science2025

A non-structural protein 1 substitution of dengue virus enhances viral replication by interfering with the antiviral signaling pathway.

Jing-Ru Hee, Dayna Cheng, Yu-Hong Chen, Sheng-Hsuan Wang, Chiao-Hsuan Chao, Sheng-Wen Huang, Pin Ling, Shu-Wen Wan, Chih-Peng Chang, Justin Jang Hann Chu and 2 more

Abstract read
In one paragraph

Article in Journal of biomedical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

12 authors.

Jing-Ru HeeDepartment of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.
Dayna ChengInstitute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Yu-Hong ChenDepartment of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.
Sheng-Hsuan WangDepartment of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.
Chiao-Hsuan ChaoDepartment of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.
Sheng-Wen HuangNational Mosquito-Borne Diseases Control Research Center, National Health Research Institutes, Tainan, Taiwan.
Pin LingInstitute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Shu-Wen WanInstitute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Chih-Peng ChangInstitute of Basic Medical Sciences, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Justin Jang Hann ChuDepartment of Microbiology and Immunology, Infectious Diseases Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Trai-Ming YehDepartment of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan.
Jen-Ren WangDepartment of Medical Laboratory Science and Biotechnology, College of Medicine, National Cheng Kung University, No.1, University Road, Tainan, 701, Taiwan. jrwang@mail.ncku.edu.tw.ORCID http://orcid.org/0000-0002-4127-4046

Funding

National Cheng Kung University D113-F1737National Cheng Kung University and National Health Research Institutes NHRI-NCKUMC-11301National Health Research Institutes NHRI-IV-113-PP-11National Health Research Institutes NHRI-MR-113-GP-06National Science and Technology Council NSTC113-2321-B-006-007-National Science and Technology Council NSTC113-2327-B-006-002-
6 · The paper itself

Abstract

backgroundThe largest dengue virus 2 (DENV2) outbreak occurred in Taiwan in 2015, resulting in many fatalities. We therefore aim to identify crucial genetic variations which determine the virulence of the 2015 Taiwan outbreak strains.

methodsWe compared the 2015 Taiwan DENV2 sequences to the pre-2015 sequences. Reverse genetics (rg) viruses with substitutions were produced and the viral growth kinetics were investigated. We treated A549 cells with interferon (IFN) to determine the interferon-stimulated genes (ISGs) expression and STAT1 phosphorylation in the rg viral infection and plasmid transfection systems. IFN and pro-inflammatory cytokines levels were measured upon DENV infection using ELISA.

resultsThe rgNS1-K272R mutant showed faster replication in IFN-I producing cells compared to wildtype (WT) virus. Results revealed that NS1-K272R substitution contributed to higher soluble NS1 secretion and evade the antiviral response by suppressing the expression of ISGs and STAT1 phosphorylation compared to NS1-WT. Infection with rgNS1-K272R induced higher secretion of pro-inflammatory cytokines through the activation of canonical nuclear factor-kappa B (NF-κB) signaling pathway.

conclusionsOur results revealed that the DENV NS1 amino acid substitution affects the NS1 ability in immune evasion, which may contribute to the largest dengue outbreak in Taiwan since the 1990s.

Indexed as

DengueDengue VirusSignal TransductionViral Nonstructural ProteinsVirus ReplicationA549 CellsAmino Acid SubstitutionHumansSTAT1 Transcription FactorTaiwanNS1 protein, Dengue virus type 2STAT1 protein, humanSTAT1 Transcription FactorViral Nonstructural ProteinsDengue virusNon-structural protein 1Pro-inflammatory cytokinesType I interferon

Identifiers

PMID39972477
PMCPMC11841148

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LicenceCC BY
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Registered trials

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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.