Serum levels of brain derived neurotrophic factor (BDNF) in severe obstructive sleep apnea syndrome (OSAS): Effects of CPAP treatment
Bibliographic record
Abstract
Background: OSAS is characterized by a chronic intermittent hypoxia (CIH) and sleep fragmentation. Polysonnography is the standard diagnostic test. New biomarkers have been proposed. The BDNF is a key mediator of neuronal and synaptic plasticity in cognitive functions. Experimental studies demonstrate changes of serum levels of BDNF following CIH Objectives: To determine serum level of BDNF in patients with severe OSAS compared with a control group and its relationship to neurocognitive function. Changes in BDNF serum levels in OSAS patients after CPAP treatment. Methods: Serum BDNF and the Montreal Cognitive Assestment (MoCA) are evaluated in 12 patients with newly diagnosed severe OSAS and in 8 healthy patients (control group). In OSAS patients serum BDNF and MoCA were reassessed after 45 days of CPAP treatment. Results: BDNF in OSAS patients was significantly higher compared to control group (p=0.01) and showed a positive correlation with ODI (p=0.01, r=0.6). Serum BDNF had a decreasing trend after CPAP treatment. Before the treatment, MoCA scores were lower in OSAS patients than controls and are positively correlated with serum BDNF levels (p=0.02, r=0.57). MoCA is normalized by CPAP therapy Conclusions: OSAS patients showed higher serum BDNF levels and lower MoCA scores compared to controls. The positive correlation between BDNF values and MoCA might reveal a peculiar BDNF-mediated neuroprotective mechanism against neuroinflammation induced by hypoxia.
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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".