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Record W4414595530 · doi:10.1371/journal.ppat.1013549

The tegument protein VP22 of pseudorabies virus inhibits cGAS condensation by inducing nuclear-to-cytoplasmic translocation of DDX21

2025· article· en· W4414595530 on OpenAlexaff
Wandi Cao, Hanhua Zhang, Xingmiao Yang, Chengyue Wu, Xingya Wang, Qian Sun, Jianxiong Guo, Ting Zhang, Yàn Liú, Xing Liu

Bibliographic record

VenuePLoS Pathogens · 2025
Typearticle
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsInstitute of Infection and Immunity
FundersNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsPseudorabiesViral tegumentInnate immune systemHelicaseVirusViral replicationAntiviral protein

Abstract

fetched live from OpenAlex

Cyclic GMP-AMP synthase (cGAS) is a pivotal DNA sensor that initiates antiviral responses, yet the mechanisms by which viruses evade cGAS-mediated innate immunity remain poorly understood. Here, we identified VP22, a tegument protein of pseudorabies virus (PRV), a member of the Alphaherpesvirinae subfamily, as a viral antagonist of the type I interferon (IFN-I) response through hijacking the host RNA helicase DDX21. Specifically, VP22 impairs 2'3'-cyclic GMP-AMP (cGAMP) synthesis by disrupting cGAS condensation. In vivo, cGAS restricts the replication of VP22-deficient PRV and attenuates its pathogenicity, an effect neutralized by VP22. Notably, DDX21 is essential for VP22-mediated inhibition of cGAS activity. Mechanistically, VP22 stabilizes DDX21 protein level and enhances its interaction with cGAS. Furthermore, VP22 promotes the translocation of DDX21 from the nucleus to the cytoplasm, a process required for inhibition of cGAS condensation and activation. Collectively, these findings reveal a previously unrecognized, host-dependent mechanism by which PRV subverts cGAS signaling, shedding light on viral strategies to subvert host DNA sensing and innate immunity.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.003
Threshold uncertainty score0.409

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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