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Record W2896987298 · doi:10.3233/ch-189320

Inhibition of GPR 55 improves dysregulated immune response in experimental sepsis

2018· article· en· W2896987298 on OpenAlex
Juan Zhou, Hye-Won Yang, Christine Lehmann

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

VenueClinical Hemorheology and Microcirculation · 2018
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune Response and Inflammation
Canadian institutionsDalhousie University
Fundersnot available
KeywordsSepsisIntravital microscopyImmune systemProinflammatory cytokineMicrocirculationMedicineCytokineImmunologyInflammationTumor necrosis factor alphaSystemic inflammatory response syndromeInternal medicine

Abstract

fetched live from OpenAlex

Sepsis is a medical condition caused by dysregulated systemic inflammatory response against infection, resulting in high mortality. Despite intensive research over the last few decades, the results from multiple clinical trials targeting specific inflammatory mediators have been disappointing. In the present study, we investigated the role of G protein-coupled receptor GPR55 modulation on immune response in an experimental sepsis model (endotoxemia). Immune response was evaluated by analyzing leukocyte-endothelial interactions and capillary perfusion in the intestinal microcirculation using intravital microscopy. In addition, the levels of plasma inflammatory cytokines were measured. The results demonstrated that GPR55 inhibition using antagonists, CID16020046 or O-1918, significantly reduced leukocyte adherence in intestinal submucosal venules and decreased proinflammatory cytokine TNF-α and IL-6 production. These data suggest that GPR55 inhibition may be a novel therapeutic target for attenuating hyperinflammation during sepsis.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.342
Threshold uncertainty score0.613

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.019
GPT teacher head0.314
Teacher spread0.295 · 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