Effects of idebenone on cognitive function and serum biomarkers in patients with amnestic mild cognitive impairment
Bibliographic record
Abstract
OBJECTIVES: This retrospective study aimed to investigate the effects of idebenone on cognitive function and serum levels of superoxide dismutase (SOD) and high-sensitivity C-reactive protein (hs-CRP) in individuals with amnestic mild cognitive impairment (aMCI). METHODS: Retrospective data were collected from the Neurology outpatient department of Liaocheng People's Hospital from January 2021 to June 2023. Patients with a newly diagnosed aMCI who received treatment were included in the idebenone treatment group. The treatment group took 30 mg of oral idebenone three times a day for 6 months. A control group of 51 MCI patients who did not receive cholinesterase inhibitors or other cognitive-enhancing drugs during the period was selected. Cognitive function assessments and serum Biomarkers were conducted before and after treatment in both groups. RESULTS: MoCA scores were significantly improved after 6 months of idebenone treatment, and the difference was statistically significant. The delayed recall score was significantly improved, and the difference was statistically significant; The level of SOD increased and the level of high-sensitivity C-reactive protein decreased after the treatment, but there was no significant change in the control group. CONCLUSIONS: The results of this study demonstrate that idebenone treatment significantly improves cognitive function in individuals with aMCI, particularly in the domain of delayed memory. In addition, idebenone reduces the degree of inflammation and oxidative stress and improves antioxidant levels. These findings suggest that idebenone may be a promising intervention for the management of cognitive impairments associated with aMCI.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 | 0.001 |
| 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".