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Record W2793478257 · doi:10.1093/infdis/jiy010

Protease-Activated Receptor 2 Facilitates Bacterial Dissemination in Pneumococcal Pneumonia

2018· article· en· W2793478257 on OpenAlexaff
Florry E. van den Boogaard, Xanthe Brands, JanWillem Duitman, Sacha F. de Stoppelaar, Keren Borensztajn, Joris J. T. H. Roelofs, Morley D. Hollenberg, C. Arnold Spek, Marcus J. Schultz, Cornelis van ′t Veer, Tom van der Poll

Bibliographic record

VenueThe Journal of Infectious Diseases · 2018
Typearticle
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsUniversity of Calgary
FundersNierstichtingUniversiteit van AmsterdamAgence Nationale de la RechercheChildren's Hospital of Philadelphia
KeywordsProteasesStreptococcus pneumoniaePneumoniaPneumolysinPneumococcal pneumoniaMicrobiologyImmunologyBiologyProteaseReceptorPathogenSepsisBacterial pneumoniaMedicineEnzymeInternal medicineAntibiotics

Abstract

fetched live from OpenAlex

Streptococcus pneumoniae is the most common causative pathogen in community-acquired pneumonia. Protease-activated receptor 2 (PAR2) is expressed by different cell types in the lungs and can mediate inflammatory responses. We sought to determine the role of PAR2 during pneumococcal pneumonia. Pneumococcal pneumonia or sepsis was induced in wild-type and PAR2 knock-out (Par2-/-) mice by infection with viable S. pneumoniae. Par2-/- mice demonstrated improved host defense, a largely preserved lung barrier integrity, and reduced mortality during pneumococcal pneumonia. PAR2 deficiency did not influence bacterial growth after intravenous infection. Inhibition of the endogenous PAR2 activating proteases tissue factor/factor VIIa or tryptase did not impact on bacterial burdens during pneumonia. In a PAR2 reporter cell line it was demonstrated that S. pneumoniae-derived proteases are able to cleave PAR2. These results show that S. pneumoniae is able to cleave and exploit PAR2 to disseminate systemically from the airways.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.275
Teacher spread0.266 · 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 source (direct Gemma or distilled Codex), 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

Citations15
Published2018
Admission routes1
Has abstractyes

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