Chronic cannabis use is associated with altered monocyte phenotype, immune response, and depression in physically active individuals
Bibliographic record
Abstract
Introduction: This study evaluated depression, monocyte phenotype, and immune function in physically active cannabis users. Methods: Participants ( N = 23) were classified as either cannabis users (CU, n = 11) or non-users (NU, n = 12). White blood cells isolated from blood were analyzed for co-expression of cluster of differentiation 14 and 16 using flow cytometry. Lipopolysaccharide (LPS) was cultured with whole blood and assessed for interleukin-6 and tumor necrosis factor-α (TNF-α) release. Results: The percentage of white blood cells classified as monocytes was not different between groups; however, CU had a significantly greater percentage of monocytes classified as intermediate ( p = 0.02). When standardized per milliliter of blood, CU had significantly greater numbers of total monocytes ( p = 0.01), classical monocytes ( p = 0.02), and intermediate monocytes ( p = 0.01). Intermediate monocytes per milliliter of blood were positively correlated to the number of times CU used cannabis per day ( r = 0.864, p < 0.01) and Beck Depression Inventory-II (BDI-II) score ( r = 0.475, p = 0.03), which was significantly greater in CU (5.1 ± 4.8) compared with NU (0.8 ± 1.0; p < 0.01). CU released significantly less TNF-α per monocyte in response to LPS. Conclusions: CU had altered monocyte phenotypes and functions compared with NU. Elevations in intermediate monocytes were positively correlated with measures of cannabis use and BDI-II score.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".