Monocarboxylate Transporter 2 and Stroke Severity in a Rodent Model of Sleep Apnea
Bibliographic record
Abstract
Stroke is not only more prevalent but is also associated with more severe adverse functional outcomes among patients with sleep apnea. Monocarboxylate transporters (MCT) are important regulators of cellular bioenergetics, have been implicated in brain susceptibility to acute severe hypoxia (ASH), and could underlie the unfavorable prognosis of cerebrovascular accidents in sleep apnea patients. Rodents were exposed to either intermittent hypoxia (IH) during sleep, a characteristic feature of sleep apnea, or to sustained hypoxia (SH), and expression of MCT1 and MCT2 was assessed. In addition, the functional recovery to middle cerebral artery occlusion (MCAO) in rats and hMCT2 transgenic mice and of hippocampal slices subjected to ASH was assessed, as well as the effects of MCT blocker and MCT2 antisense oligonucleotides and siRNAs. IH, but not SH, induced significant reductions in MCT2 expression over time at both the mRNA and protein levels and in the functional recovery of hippocampal slices subjected to ASH. Similarly, MCAO-induced infarcts were significantly greater in IH-exposed rats and mice, and overexpression of hMCT2 in mice markedly attenuated the adverse effects of IH. Exogenous pyruvate treatment reduced infarct volumes in normoxic rats but not in IH-exposed rats. Administration of the MCT2 blocker 4CN, but not the MCT1 antagonist p-chloromercuribenzene sulfonate, increased infarct size. Thus, prolonged exposures to IH mimicking sleep apnea are associated with increased CNS vulnerability to ischemia that is mediated, at least in part, by concomitant decreases in the expression and function of MCT2. Efforts to develop agonists of MCT2 should provide opportunities to ameliorate the overall outcome of stroke.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".