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<i>Streptococcus suis</i>stimulates ICAM-1 shedding from microvascular endothelial cells

2008· article· en· W2030171354 on OpenAlexafffund
Daniel Grenier, Charles Bodet

Bibliographic record

VenueFEMS Immunology & Medical Microbiology · 2008
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversité Laval
FundersNatural Sciences and Engineering Research Council of CanadaUniversité de MontréalJohns Hopkins University
KeywordsBiologyStreptococcus suisICAM-1MicrobiologyIntercellular Adhesion Molecule-1Cell adhesion moleculeCell biologyMolecular biologyBiochemistryVirulence

Abstract

fetched live from OpenAlex

In this study, we hypothesized that Streptococcus suis induces the shedding of adhesion molecules from the surface of human brain microvascular endothelial cells (HBMEC), which may contribute to the ongoing pathophysiological processes of meningitis. When HBMEC were stimulated with whole cells of S. suis S735, significantly larger amounts of soluble intercellular adhesion molecule-1 (sICAM-1) were shed into conditioned medium while basal levels of soluble E-cadherin and P-selectin were unaffected. At a multiplicity of infection of 1 and 10, S. suis increased the concentration of sICAM-1 3.5- and 5-fold, respectively. A capsule-deficient mutant of S. suis induced more shedding than the parental strain. In addition, an S. suis cell wall preparation dose-dependently stimulated ICAM-1 shedding. Specific inhibitors of tyrosine kinase, mitogen-activated extracellular kinase 1, 2, and c-JUN N-terminal kinase significantly reduced S. suis-mediated ICAM-1 release. ICAM-1 shedding was also inhibited by a specific inhibitor of matrix metalloproteinases. The capacity of S. suis to induce ICAM-1 shedding has many functional implications that may contribute to the pathophysiological process of meningitis.

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 categoriesInsufficient payload (model declined to judge)
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 score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.012
GPT teacher head0.251
Teacher spread0.238 · 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; both teacher heads agree on what is shown here.

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

Citations13
Published2008
Admission routes2
Has abstractyes

Explore more

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