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Record W4414817066 · doi:10.1177/23523689251384468

The cannabinoid type 2 receptor agonist, HU308, reduces cytokine secretion in LPS-stimulated RAW 264.7 macrophages

2025· article· en· W4414817066 on OpenAlexaff
Stefan Hall, Kayle Dickson, Juan Zhou, Zhenyu Cheng, Christine Lehmann

Bibliographic record

VenueJournal of Cellular Biotechnology · 2025
Typearticle
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMacrophageCannabinoidCannabinoid receptorInflammationSecretionImmune systemLipopolysaccharideCytokine

Abstract

fetched live from OpenAlex

Introduction Inflammatory mediators produced by macrophages play a key role in the immune response to sepsis. Agonism of the cannabinoid receptor two represents a promising anti-inflammatory strategy that can modulate macrophage activation in this context. In this article, we highlight the use of the synthetic cannabinoid HU-308 as an anti-inflammatory therapeutic agent in an in vitro model of macrophage inflammation. Methods To this end, RAW 264.7 murine macrophages were stimulated with lipopolysaccharide and their production of inflammatory mediators was evaluated using enzyme-linked immunosorbant assays. Further, we evaluated macrophage viability with HU-308 treatment and confirmed the expression of the cannabinoid receptor 2. Results We identified a dose-related reduction in the secretion of IL-6, TNF, and CXCL8. Conclusion HU-308 is a promising candidate for reducing inflammation secondary to macrophage activation, indicating the value of additional research on this topic.

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)0.001
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 score0.237
Threshold uncertainty score0.567

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.008
GPT teacher head0.284
Teacher spread0.276 · 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.

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

Citations0
Published2025
Admission routes1
Has abstractyes

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