The influence of moderate physical activity on the concentration of particular fractions of brain-derived neurotrophic factor in the blood serum of patients with Alzheimer’s disease
Bibliographic record
Abstract
Material and methods.The study included 32 people diagnosed with AD of mild or moderate severity, previously not physically active, 16 of whom started training Nordic walking.The BDNF and mBDNF levels were determined before and after the 3-month study.Psychometric measurements were also carried out using the MoCA (Montreal Cognitive Assessment) and ADL (Activities of Daily Living) scales.Results.During the observation period in the entire study group (32 people) and in the group with MMSE (Mini-Mental State Examination) with scores of 19-23 points (15 people), a significant increase in the serum BDNF concentration was found.In the group of people with the late-onset disease (N = 27), a significant increase in the serum BDNF concentration was found, regardless of PA and a significant increase in the mBDNF concentration only in the active group.There were no significant correlations between changes in the BDNF and mBDNF levels and the general functioning and cognitive performance measured on the MoCA and ADL scales.Conclusions.The obtained results indicate the possibility of an increase in the BDNF concentration in the serum of patients with Alzheimer's disease, which is not always related to physical activity and does not correlate with Original research article / Artykuł oryginalnyThe influence of moderate physical activity on the concentration of particular fractions of brain-derived neurotrophic factor in the blood serum of patients with Alzheimer's disease Wpływ umiarkowanego wysiłku fizycznego na stężenie poszczególnych frakcji czynnika neurotrofowego pochodzenia mózgowego w surowicy krwi osób z chorobą Alzheimera
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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 | 0.001 |
| 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".