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Record W2115971041 · doi:10.1189/jlb.0108001

Role of protease-activated receptors in inflammatory responses, innate and adaptive immunity

2008· review· en· W2115971041 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Leukocyte Biology · 2008
Typereview
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of Calgary
FundersGaldermaBundesministerium für Bildung und ForschungDeutsche Forschungsgemeinschaft
KeywordsProteasesBiologyInnate immune systemImmune systemInflammationImmunologyAcquired immune systemCell biologyReceptorEnzymeBiochemistry

Abstract

fetched live from OpenAlex

Serine proteases are well known as enzymes involved in digestion of dietary proteins, blood coagulation, and homeostasis. Only recent groundbreaking studies revealed a novel role of serine proteases as signaling molecules acting via protease-activated receptors (PARs). Important effects of PAR activation on leukocyte motility, cytokine production, adhesion molecule expression, and a variety of other physiological or pathophysiological functions have been described in vitro and in vivo. The crucial role of PAR activation during disease progression was revealed in animal models of different gastrointestinal pathologies, neuroinflammatory and neurodegenerative processes, skin, joint and airway inflammation, or allergic responses. This review focuses on the findings related to the impact of PAR deficiency in animal models of inflammatory and allergic diseases. Additionally, we observe the role of PAR activation in the regulation of functional responses of innate and adaptive immune cells in vitro. Understanding the mechanisms by which PARs exert the effects of serine proteases on immune cells may lead to new therapeutic strategies in inflammation, immune defense, and allergy.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.976
Threshold uncertainty score0.852

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.059
GPT teacher head0.333
Teacher spread0.273 · 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