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Record W7065449441

Dymanics of Neisseria meningitidis interactions with human cellular barriers and immune effectors

2009· article· en· W7065449441 on OpenAlexaff

Bibliographic record

VenueExplore Bristol Research · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsNeisseria meningitidisImmune systemReceptorEffectorDownregulation and upregulationInnate immune systemIn vitroComplement receptorBacteriaInflammation
DOInot available

Abstract

fetched live from OpenAlex

Neisseria meningitidis outer membrane (OM) adhesins, Opa and Opc are known to exert significant influence on bacterial adhesion and invasion properties. They are also likely to affect the dynamics of cellular barrier penetration as they target human receptors that are subject to upregulation under inflammatory conditions. As some of the targeted receptors are also expressed on immune cells, it is possible that the OM proteins, when presented on bacteria or in OM vesicle vaccines, have the additional capacity to modulate host immune responses. In our recent studies, in vitro model systems were used to further explore these possibilities. The studies illustrated that the major human receptors targeted by Opa and Opc, i.e. CEACAMs and integrins, when upregulated by inflammatory cytokines, encourage enhanced cellular adhesion, invasion and barrier traversal. Tissue infiltration by fully capsulate bacteria via Opa proteins was also observed for piliated Opa+ meningococci. Other studies indicate that Opc increases meningococcal resistance to serum-mediated killing by binding to the complement regulatory molecule vitronectin. In addition, although adverse immunomodulatory effects have been reported for Opa-expressing gonococci and meningococcal OMVs, our studies indicate that interactions with CD4+ T cell expressed CEACAM1 does not offer immunomodulatory properties to meningococci.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.135
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0210.000

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 head0.036
GPT teacher head0.347
Teacher spread0.311 · 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 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

Citations0
Published2009
Admission routes1
Has abstractyes

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