Abstract 15: Hypoxia As Therapy For MitochondRial Injury Following Cardiac Arrest
Bibliographic record
Abstract
Introduction: Mitochondrial injury occurs following cardiac arrest (CA) and contributes to myocardial stunning and anoxic brain injury. Hypoxia has been proposed as a therapeutic strategy for neurodegenerative diseases associated with mitochondrial respiration defects, but its benefits in the post-CA setting remain unexplored. Here, we hypothesized mild hypoxia as therapy for post-CA mitochondrial injury. Methods and Results: Mice underwent brief asystolic CA (12 min) followed by cardiopulmonary resuscitation (CPR). One hour following successful CPR, mice were randomized to receive a brief episode (6 hours) of hyperoxia (33% O 2 ), normoxia (21% O 2 ), or hypoxia (10% O 2 ) in an environmental chamber. Post exposure, the mice were returned to room air (21% O 2 ). Hypoxia improved myocardial fractional shortening compared to normoxia and hyperoxia (Hypoxia: 45.6±2.3 %, Normoxia: 40.0±0.8 %, Hyperoxia: 29.0±4.0 %, n=5, P<0.05, respectively). Hypoxia also elevated neurological scores (Hypoxia: 8.4±1.3, Hyperoxia: 5.6±1.2, n=5, P<0.05) 48 hours post CA compared to hyperoxia. Ten-day survival was prolonged by hypoxia (Hypoxia: 87.5 %, Normoxia: 62.5 %, Hyperoxia: 12.5 %, n=10, P<0.05, respectively). Hypoxia also improved mitochondrial function (28% increase in basic oxygen consumption and 49% increase in ATP-related oxygen consumption, n=3, P<0.05, respectively) and a 20% decrease in ROS production (n=6, P<0.05) compared to normoxia. Conclusion: This study has two important findings: First , we demonstrate that oxygen availability in the early post-CA period is a critical determinant of long-term post-CA outcomes. Second , we show that mild hypoxic therapy in the early post-CA period improves early mitochondrial function and long-term post-CA outcomes. These findings reveal an important oxygen-dependent therapeutic window following resuscitation from CA that has implications for post-CA critical care.
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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 | 0.000 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".