Effects of a Mindfulness-Based Intervention on Circulating Cytokine Levels in Individuals with Amnestic Mild Cognitive Impairment: A Pilot Study
Bibliographic record
Abstract
Peripheral inflammation plays an important role in the pathophysiology of Alzheimer’s disease (AD) and dysregulations in circulating levels of different inflammatory mediators are detectable as early as the mild cognitive impairment (MCI) stage towards AD. Depressive symptoms, another risk factor of AD, are often found in individuals with MCI and associated with heightened levels of peripheral inflammatory mediators. Diminution in depressive symptoms and alterations of peripheral inflammation profiles have been observed following Mindfulness-based interventions (MBIs). In this pilot randomized-control trial, the impact of a mindfulness-based intervention (MBI) was compared to that of a psychoeducation-based intervention (PBI) on the peripheral inflammation profile and depressive symptomatology of participants with MCI. Plasma samples and scores on the Geriatric Depression scale (GDS) were obtained from 12 participants per group before and after the 8-week interventions. Flow cytometry allowed for inter-group comparisons of the pro-inflammatory cytokines Interleukin (IL)-6 and Tumor Necrosis Factor (TNF)-α levels. Post-MBI, two tendencies stand out regarding inflammation profiles: 1) a decrease of TNF-α for participants having higher initial levels of this cytokine, and 2) an increase of IL-6 levels for all participants. In the PBI group, the cytokine levels remained unchanged post-intervention. Regarding depressive symptomatology, no significant variations were noted for both groups. Moreover, variations on depressive symptoms and peripheral levels of cytokines were not correlated. MBI could exert a physiological effect on an important feature of AD, namely inflammation. Furthermore, action mechanisms behind physiological and psychological effects of MBIs could stem from independent sources. This remains to be demonstrated with more robust data.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".