Physical activity in carotid atherosclerotic patients blunts monocyte pro-inflammatory processes: a randomised controlled trial
Bibliographic record
Abstract
BACKGROUND AND AIMS: Up to 25 % of ischemic strokes are the consequence of a ruptured vulnerable carotid atherosclerotic plaque. Circulating pro-inflammatory classical and intermediate monocytes are known predictors of ischemic events and cardiovascular death. Interestingly, chronic physical activity can decrease inflammation, and is thereby associated with a reduction in pro-inflammatory monocytes. METHODS: In a randomized, controlled and monocentric trial, we recruited 56 patients (71 ± 8 years old) with asymptomatic carotid stenosis of ≥50 % who were ineligible for carotid endarterectomy. Blood analyses were completed to assess the phenotype of monocytes, as well as a multiplex assay and colorimetric assay for cytokines concentration and redox status, respectively. RESULTS: Classical monocyte count was increased in the control arm, while it remained stable in response to the physical activity intervention (-5215 ± 2307, [95 %CI -9878 to -551], p = 0.03). Moreover, the expression of most of pro-inflammatory cytokines was down-regulated in response to the physical activity intervention, while it was increased in the control arm. CONCLUSIONS: The stabilization of classical monocytes and down-regulation of the expression of pro-inflammatory cytokines in response to the physical activity intervention suggest that chronic physical activity alleviate the pro-inflammatory state, and might thereby reduce carotid plaque vulnerability and the subsequent risk of ischemic events. These results highlight that home-based physical activity intervention is an efficient clinical care that induce biological changes in carotid atherosclerotic patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".