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Record W2760637905 · doi:10.1089/vim.2017.0068

Fowl Aviadenovirus 9 dUTPase Plays a Role in Regulation of the Host Immune Response

2017· article· en· W2760637905 on OpenAlexafffund
Li Deng, Bryan D. Griffin, Yanlong Pei, David Leishman, Betty-Anne McBey, Shayan Sharif, Éva Nagy

Bibliographic record

VenueViral Immunology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsUniversity of Guelph
FundersChina Scholarship CouncilNatural Sciences and Engineering Research Council of CanadaCanadian Poultry Research Council
KeywordsBiologyImmune systemVirologyViral replicationVirusViral sheddingAntibodyHost (biology)ImmunologyGenetics

Abstract

fetched live from OpenAlex

Fowl aviadenoviruses (FAdVs) are distributed worldwide in poultry farms. Some FAdVs are the causative agents of inclusion body hepatitis and hydropericardium syndrome that cause significant economic losses to the poultry industry. In contrast with human adenovirus, the study of the molecular biology of FAdV is still far behind. We previously showed that FAdV-9 open reading frame 1 (ORF1) is a dUTPase enzyme that contributes to the upregulation of type I interferons and is not required for virus replication in vitro. In the present study, we compared virus replication in vivo and the host immune response in chickens orally inoculated with a dUTPase knockout virus (ORF1stop), the rescued version of ORF1stop (resORF1), and wtFAdV-9. Our data showed that replication of ORF1stop was delayed on days 1 and 3 postinoculation compared with wtFAdV-9, as evidenced by significantly less virus shedding in feces and lower viral loads in tissues. Moreover, we found that there was a significant difference in the induction of cytokine gene mRNA expression in tissues and IgG antibody responses in ORF1stop versus wtFAdV-9-infected chickens, suggesting that ORF1 plays some roles in modulating the host immune response. Our study provides useful data on the mechanism of the host immune response against FAdV infection.

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 score0.323
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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

Citations5
Published2017
Admission routes2
Has abstractyes

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