Neuronal glutamate transporters are associated with cognitive impairment in obstructive sleep apnea patients without dementia
Bibliographic record
Abstract
Increasing evidence supports a link between obstructive sleep apnea (OSA) and cognition, and the mechanism is complex and still not well understood. We analyzed the relationship between the glutamate transporters and cognitive impairment in OSA. For this study 317 subjects without dementia, including 64 healthy controls (HCs), 140 OSA patients with mild cognitive impairment (MCI) and 113 OSA patients without cognitive impairment were assessed. All participants who completed polysomnography, cognition and white matter hyperintensity (WMH) volume were used. Plasma neuron-derived exosomes (NDEs) excitatory amino acid transporter 2 (EAAT2) and vesicular glutamate transporter 1 (VGLUT1) proteins were measured by ELISA kits. After 1 year of continuous positive airway pressure (CPAP) treatment, we analyzed plasma NDEs EAAT2 level and cognition changes. Plasma NDEs EAAT2 level was significantly higher in OSA patients than in HCs. Higher plasma NDEs EAAT2 level were significantly associated with cognitive impairment than normal cognition in OSA patients. Plasma NDEs EAAT2 level was inversely associated with the total Montreal Cognitive Assessment (MoCA) scores, visuo-executive function, naming, attention, language, abstraction, delayed recall and orientation. One year after CPAP treatment, plasma NDEs EAAT2 level (P = 0.019) was significantly lower, while MoCA scores (P = 0.013) were significantly increased compared with baseline. Upregulation of neuronal glutamate transporters at baseline may reflect a self-compensatory mechanism to prevent further neuronal damage, while plasma NDEs EAAT2 level was decreased after one year of CPAP therapy, which may be due to the loss of astrocytes and neurons.
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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 | 0.001 | 0.001 |
| 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".