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Record W1993929701 · doi:10.1089/08828240260066198

Immune Responses to Myxoma Virus

2002· review· en· W1993929701 on OpenAlexaff
Peter J. Kerr, Grant McFadden

Bibliographic record

VenueViral Immunology · 2002
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicVirus-based gene therapy research
Canadian institutionsWestern University
Fundersnot available
KeywordsMyxoma virusMyxomatosisVirusBiologyVirologyMyxomaImmune systemInnate immune systemViral replicationHost (biology)DNA virusImmunologyGeneGeneticsMedicineGenome

Abstract

fetched live from OpenAlex

Myxoma virus causes the systemic disease myxomatosis in the European rabbit (Oryctolagus cuniculus). Originating in the South American rabbit Sylvilagus brasiliensis, where it causes a relatively localized fibroma, myxoma virus is a classic example of a virus that has jumped species to produce an exotic disease and then coevolved with its new host. Like other poxviruses, myxoma virus encodes multiple proteins capable of downregulating the host innate and acquired immune responses. Other virus-encoded proteins enable replication in host lymphocytes and monocytes, for example, by inhibiting apoptosis. Detailed studies on these proteins have demonstrated novel methods of interactions with the host immune system and added substantially to the understanding of the interaction of large DNA viruses with their hosts. Despite the increasingly detailed molecular knowledge of myxoma virus, relatively little is known about the dynamics of the interaction of the virus with the integrated host-immune system during infection and, in particular, about the evolution of resistance to the virus in wild rabbits or the species barrier. This review will focus on the detailed molecular studies that have been done with myxoma virus and discuss the more limited knowledge of the pathogenesis of myxoma virus in rabbits and the ways that the consolidated immune responses may determine genetic resistance to myxomatosis.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.003

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 head0.047
GPT teacher head0.360
Teacher spread0.313 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations98
Published2002
Admission routes1
Has abstractyes

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