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Isocitrate Lyase Activity Is Required for Virulence of the Intracellular Pathogen <i>Rhodococcus equi</i>

2005· article· en· W2144379375 on OpenAlexaff
Daniel M. Wall, Pamela S. Duffy, Christopher L. Dupont, John F. Prescott, Wim G. Meijer

Bibliographic record

VenueInfection and Immunity · 2005
Typearticle
Languageen
FieldMedicine
TopicInfectious Disease Case Reports and Treatments
Canadian institutionsUniversity of Guelph
FundersHealth Research Board
KeywordsRhodococcus equiVirulenceBiologyIsocitrate lyaseMicrobiologyPathogenIntracellularHuman pathogenRhodococcusVirologyBacteriaBiochemistryEnzymeGeneticsGeneGlyoxylate cycle

Abstract

fetched live from OpenAlex

Rhodococcus equi is an important pathogen of foals, causing severe pyogranulomatous pneumonia. Virulent R. equi strains grow within macrophages, a process which remains poorly characterized. A potential source of carbon for intramacrophage R. equi is membrane lipid-derived fatty acids, which following beta oxidation are assimilated via the glyoxylate bypass. To assess the importance of isocitrate lyase, the first enzyme of the glyoxylate bypass, in virulence of a foal isolate of R. equi, a mutant was constructed by a strategy of single homologous recombination using a suicide plasmid containing an internal fragment of the R. equi aceA gene encoding isocitrate lyase. Complementation of the resulting mutant with aceA showed that the mutant was specific for this gene. Assessment of virulence in a mouse macrophage cell line showed that the mutant was killed, in contrast to the parent strain. Studies in the liver of intravenously infected mice showed enhanced clearance of the mutant. When four 3-week-old foals were infected intrabronchially, the aceA mutant was completely attenuated, in contrast to the parent strain. In conclusion, the aceA gene was shown to be essential for virulence of R. equi, suggesting that membrane lipids may be an important source of carbon for phagocytosed R. equi.

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 score0.181
Threshold uncertainty score0.349

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 head0.024
GPT teacher head0.291
Teacher spread0.267 · 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

Citations64
Published2005
Admission routes1
Has abstractyes

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