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Interferon stimulated gene 15 promotes Zika virus replication through regulating Jak/STAT and ISGylation pathways

2020· article· en· W3045544130 on OpenAlexaff
Yancui Wang, Kai Ren, Shilin Li, Chunhui Yang, Limin Chen

Bibliographic record

VenueVirus Research · 2020
Typearticle
Languageen
FieldMedicine
TopicMosquito-borne diseases and control
Canadian institutionsToronto General HospitalUniversity of Toronto
FundersNational Key Research and Development Program of ChinaChinese Academy of Medical Sciences Initiative for Innovative MedicineNational Natural Science Foundation of China
KeywordsISG15Zika virusBiologyInterferon-stimulated geneVirologyInterferonViral replicationJAK-STAT signaling pathwayVirusMicrocephalyGeneImmunologySignal transductionGeneticsInnate immune systemImmune system

Abstract

fetched live from OpenAlex

Zika virus is an emergent arbovirus that has caused a public health emergency in South America. Zika virus infection is known to cause microcephaly and other congenital defects and Guillain-Barré syndrome. Unfortunately no direct antiviral treatments are available at present. IFN-stimulated gene 15 (ISG15) is one of the most upregulated host genes following type I interferon treatment or virus infections. ISG15 has been shown to have antiviral effect on a wide variety of viruses although pro-HCV replication was observed. However, the effect of ISG15 on ZIKV infection is not well defined. In this study, we try to clarify the effect of ISG15 on ZIKV replication and to further dissect the underlying mechanism. Our results indicated that ZIKV infection led to the increased expression of ISG15 in A549, 2fTGH, U5A cells. Overexpression of ISG15 stimulated ZIKV replication although ISG15 did not affect the viral entry. Further studies showed that this proviral effect was mediated through Jak/STAT signaling pathway and was ISGylation-dependent. Taken together, our work demonstrates that ISG15 is an important host factor exploited by ZIKV to facilitate its replication and might serve as a potential target for the development of novel antiviral agents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.595

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.167
GPT teacher head0.399
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2020
Admission routes1
Has abstractyes

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