THE ROLE OF BRAIN-DERIVED NEUROTROPHIC FACTOR AND INTERLEUKIN-6 IN THE FORMATION OF COGNITIVE IMPAIRMENTS IN PATIENTS WITH MULTIPLE SCLEROSIS
Bibliographic record
Abstract
This study analysed the relationship between levels of brain-derived neurotrophic factor (BDNF) and pro-inflammatory interleukin-6 (IL-6) and cognitive impairment in patients with multiple sclerosis (MS) with different disease durations.The study included 72 patients with relapsing-remitting MS, who were divided into three groups depending on the duration of the disease: Group 1 -27 patients with a disease duration of up to 5 years, Group 2 -from 5 to 10 years (23 patients), Group 3 -over 10 years (22 patients).The neurocognitive status of patients was assessed using the MoCA, SDMT and PASAT-3 tests, and the serum levels of BDNF and IL-6 were determined by enzyme-linked immunosorbent assay.The results showed that in patients with MS, the formation of cognitive impairment (as assessed by the MoCA, SDMT, and PASAT-3 scores) was associated with a decrease in serum BDNF and an increase in IL-6 levels.In particular, a positive correlation was found between BDNF levels and cognitive test scores (MoCA r=0.61, p=0.000;SDMT r=0.668, p=0.000), while IL-6 levels were negatively correlated with cognitive scores p=0.000; p=0.000).These results confirm the importance of neurotrophic and inflammatory dysfunction in the development of cognitive impairment in patients with MS.
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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 | 0.000 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".