Cannabinoid CB2 Receptors in Health and Disease
Bibliographic record
Abstract
Marijuana has been used for thousands of years to affect human health. Dissecting the peripheral effects from the central psychotropic effects has revealed a complex interplay between cannabinoids, endocannabinoids and their receptors. This review examines recent advances in understanding the expression, regulation and utilization of the CB(2) receptor. Here we highlight the molecular aspects of the CB(2) receptor, CB(2) receptor signaling and new ligands for this receptor. We focus in the rest of the review on recent findings in the immune system, the gastrointestinal tract and liver, the brain and the cardiovascular system and airways as examples of areas where new developments in our understanding of the CB(2) receptor have occurred. Early studies focused on expression of this receptor under baseline physiologic conditions; however, perturbations such as those that occur during inflammation, ischemia/reperfusion injury and cancer are revealing a critical role for the CB(2) receptor in regulating these disease processes amongst others. As a result, the CB(2) receptor is an appealing therapeutic target as well as a useful tool for shedding new light on physiological regulatory processes throughout the body.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".