Exploration of acupuncture therapy in the treatment of mild cognitive impairment based on the brain-gut axis theory
Bibliographic record
Abstract
Background: Mild cognitive impairment (MCI) is an intermediary state between normal aging and dementia. Early intervention for MCI may be a key opportunity in managing dementia. Recent studies have demonstrated the alterations in the gut microbial communities associated with MCI. This study aims to evaluate if acupuncture can improve cognitive function in subjects with MCI and explore the possible mechanism of acupuncture by better defining the interactions of gut microbiota. Methods: A randomized assessor-blind controlled study is proposed. A total of 62 subjects will be recruited and randomly allocated into two groups in a 1:1 ratio: the treatment and control groups. Participants in the treatment group will receive active acupuncture and exercise/cognitive training (conventional treatment). The control group will receive sham acupuncture and exercise/cognitive training. Each participant will receive active or sham acupuncture for 12 weeks. The primary outcome will be the Montreal Cognitive Assessment (MoCA) score and intestinal flora. Secondary outcomes will include mini-mental state examination (MMSE) and activity of daily living (ADL) scores. Various scales will be collected at baseline, during the treatment (weeks 4 and 8), week 12, and months 4 and 6 after the intervention. Feces will be collected before and after the treatment based on 16S rRNA gene sequencing technology for each participant to characterize the intestinal flora. Adverse events will be recorded by monthly follow-up. Results: The trial is expected to show that cognitive function can be improved by acupuncture and produce reliable clinical outcomes in MCI patients. It will also provide preliminary data on the possible mechanism based on the changes in the intestinal flora. Collected data will be used to support future large-scale fundamental studies. Conclusion: Acupuncture is an effective method to improve cognitive function for MCI. This study will provide data on the relationship between gut microbiota and the effectiveness of acupuncture in patients with MCI from a new angle. Clinical trial registration: [www.ClinicalTrials.gov], identifier [MR-33-22-002376].
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".