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Record W2057168960 · doi:10.1086/423141

Production of Exopolysaccharide by<i>Burkholderia cenocepacia</i>Results in Altered Cell‐Surface Interactions and Altered Bacterial Clearance in Mice

2004· article· en· W2057168960 on OpenAlexaff
Barbara‐Ann D. Conway, Karen K. Chu, Johan Bylund, Eleonora Altman, David P. Speert

Bibliographic record

VenueThe Journal of Infectious Diseases · 2004
Typearticle
Languageen
FieldMedicine
TopicCystic Fibrosis Research Advances
Canadian institutionsBC Research (Canada)Institute for Biological SciencesUniversity of British Columbia
Fundersnot available
KeywordsBurkholderia cenocepaciaBurkholderia cepacia complexMicrobiologyVirulenceBiologyBiofilmPathogenBurkholderiaCystic fibrosisBacteriaGeneGenetics

Abstract

fetched live from OpenAlex

Despite the characterization of some Burkholderia cepacia complex exopolysaccharides (EPSs), little is known about the role of EPSs in the pathogenicity of B. cepacia complex organisms. We describe 2 Burkholderia cenocepacia (genomovar III) isolates obtained from a patient with cystic fibrosis (CF): the nonmucoid isolate C8963 and the mucoid isolate C9343. Both isolates had identical random amplified polymorphic DNA patterns. C9343 produced a capsule composed of the EPSs PS-I and PS-II, as well as alpha -1,6-glucan. These isolates exhibited several phenotypic differences: C8963 synthesized octanoyl-homoserine lactone and produced biofilms, but C9343 did not; in a mouse model of pulmonary infection, C8963 was cleared more rapidly than was C9343; and C9343 interacted poorly with macrophages and neutrophils, compared with C8963, suggesting that the C9343 capsule interfered with cell-surface interactions. Overproduction of EPS by C9343 resulted in a mucoid appearance and interfered with cell-surface interactions and clearance in an animal model. This mucoid colonial appearance could enhance the persistence and virulence of this important CF-related pathogen.

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)0.001
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 score0.392
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.010
GPT teacher head0.280
Teacher spread0.270 · 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

Citations84
Published2004
Admission routes1
Has abstractyes

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