Mindfulness Intervention Improves Cognitive Function in Older Adults by Enhancing the Level of miRNA-29c in Neuron-Derived Exosomes
Bibliographic record
Abstract
Abstract Although mindfulness-based stress reduction (MBSR) improves cognitive function, the mechanism is not clear. In this study, people aged 65 years and older were recruited from elderly communities in Chitose City, Japan, and assigned to the non-MBSR group or MBSR group. In the MBSR group, the program was performed three times a week for 4 weeks. After the intervention, the score of Japanese version of the Montreal Cognitive Assessment (MoCA-J) as well as the expression of microRNA (miR)-29c in neuron-derived exosomes (NDEs) in blood was significantly increased in the MBSR group, compared to the non-MBSR group. Analysis of miR-29c target genes showed that the expression of DNA methyltransferase 3 alpha (DNMT3A), DNA methyltransferase 3 beta (DNMT3B), and signal transducer and activator of transcription 3 (STAT3) in NDEs was significantly decreased in the MBSR group. We also found that intracerebroventricular injection of a miR-29c mimic into 5xFAD mice prevented cognitive decline as well as neuronal loss in the subiculum area by down-regulating DNMT3A and STAT3 in the hippocampus. The results of the present study suggest that MBSR can prevent neuronal loss and cognitive impairment in elderly people by increasing the neuronal expression of miR-29c.
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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) | 0.001 | 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".