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Anti-inflammatory effects of oral cannabidiol in rat models

2023· preprint· en· W4380995676 on OpenAlexaff
Sitthiphon Bunman, Sombat Muengtaweepongsa, Dilok Piyayotai, Ratthaphol Charlermroj, Korawit Kanjana, Sudtida Kaew-amdee, Manlika Makornwattana, Sang-Hyun Kim

Bibliographic record

VenueF1000Research · 2023
Typepreprint
Languageen
FieldMedicine
TopicCannabis and Cannabinoid Research
Canadian institutionsUniversité du Québec en Abitibi-TémiscamingueUniversité du Québec à Montréal
FundersRangsit UniversityThammasat University
KeywordsCarrageenanEdemaDiclofenacPharmacologyMedicineInflammationCannabidiolArthritisInternal medicine

Abstract

fetched live from OpenAlex

<ns4:p> <ns4:bold>Background:</ns4:bold> Cannabidiol (CBD), a non-psychoactive compound in cannabis, has various pharmacological advantages associated with clinical use, especially for reducing inflammatory arthritis and paw edema in animal models. This study evaluated the anti-inflammatory effects of various oral CBD doses (5-40 mg/kg) in rats after injecting 0.1 mL of carrageenan. </ns4:p> <ns4:p> <ns4:bold>Methods:</ns4:bold> Rats were orally administered various CBD doses an hour before the carrageenan-induced inflammation to observe the anti-inflammatory effects of CBD. Paw edema was measured at 0, 1, 2, 3, 4, and 5 h after carrageenan induction. Following a six-hour induction of carrageenan, histological analysis employing hematoxylin and eosin staining was performed to investigate inflammatory cell infiltration at paw edema. In addition, blood samples were taken and used for cytokine detection using ELISA and bead-base assays. </ns4:p> <ns4:p> <ns4:bold>Results:</ns4:bold> We found that the efficacy of all oral CBD doses decreased paw edema and was comparable to or had greater efficacy than an anti-inflammatory agent (Diclofenac 10 mg/kg), especially at 2, 3, 4, and 5 h after induced paw edema. Moreover, a high dose (40 mg/kg) of CBD suppressed chemokine productions, including monocyte chemoattractant protein (MCP)-1 and MCP-3, compared to diclofenac and placebo. In addition, serotonin levels, a pro-inflammatory-like neurotransmitter, were drastically decreased in rats treated with either CBD or diclofenac. </ns4:p> <ns4:p> <ns4:bold>Conclusions:</ns4:bold> Oral CBD is an interesting anti-inflammatory agent for use in the clinical setting. However, more information regarding drug safety and efficacy in a large population of human studies is needed. </ns4:p>

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Bench or experimentalmedium
models agreeAgreement compares identical category sets and study designs across arms.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.718
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.003
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 head0.054
GPT teacher head0.363
Teacher spread0.309 · 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

Labeled directly by 2 models reading the full record.

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

Citations2
Published2023
Admission routes1
Has abstractyes

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