Prospects Of Using Resveratrol For Cognitive Impairment Correction In Patients With Type II Diabetes Mellitus
Bibliographic record
Abstract
Our goal was to study the effectiveness of resveratrol in correcting cognitive impairments and in normalization of neurotrophin levels in patients with type II diabetes mellitus. Material and Methods ― In a randomized placebo-controlled trial, 100 patients with a verified diagnosis of type II diabetes mellitus took part, who were subsequently placed into two groups: the treatment group of 50 patients taking a polyphenol therapeutic drug in addition to standard therapy, and the comparison group of 50 indivuduals taking a placebo medication in addition to standard therapy. The control group consisted of 30 individuals belonging to the health group I sensu RF Ministry of Healthcare. Treatment efficacy was assessed using the Montreal Cognitive Assessment (MoCA) scale. The concentrations of insulin-like growth factor 1 (IFR-1), brain-derived neurotrophic factor (BDNF), and nerve growth factor (NGF) in blood plasma were analyzed before and after treatment completion (10 weeks later). Results ― Before starting treatment, patients exhibited an increase in the level of IFR-1 and a decrease in the content of neurotrophic factors (BDNF and NGF) in their blood plasma. In patients receiving resveratrol in addition to standard treatment, changes in IFR-1, BDNF and NGF in blood plasma were more noticeable relative to the comparison group and approached the values of the control group. According to the MoCA scale, more pronounced dynamics of cognitive functions was observed in patients of the treatment group. Conclusion ― The high efficiency of the polyphenol therapeutic drug resveratrol in the correction of cognitive impairments in patients with type II diabetes mellitus was established. The use of resveratrol promoted the normalization of the levels of IFR-1 and neurotrophic factors in the blood plasma: in the treatment group, a more pronounced statistically significant decrease in the concentration of IFR-1, along with an increase in BDNF and NGF levels, were observed relative to the control group. The clinically significant effect of resveratrol was in the reduction of cognitive deficit symptoms, which was confirmed by the data of dynamic monitoring on the MoCA scale: in treatment group, there was a statistically significant improvements of optical and spatial functions, attention, abstract thinking, and fulfilling delayed reproduction task; in the comparison group, there was a statistically significant improvement solely of completing delayed reproduction task.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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".