Cerebral Amino Acid Profiles after Hypoxia-Reoxygenation and N-Acetylcysteine Treatment in the Newborn Piglet
Bibliographic record
Abstract
BACKGROUND: Neonatal hypoxia-ischemia (HI) is a common clinical occurrence. Recently, much evidence has been gathered to suggest that oxygen free radicals are implicated in the pathogenesis of hypoxia-reoxygenation injury through the initiation and propagation of toxic cascades including glutamate excitotoxicity and the manifestation of post-HI neurologic disorders. Following HI, excessive free radicals are formed and antioxidant defenses are diminished. N-acetylcysteine (NAC) is a clinically available antioxidant and has been previously shown to reduce oxidative stress and scavenge free radicals in multiple models of brain injury. OBJECTIVES: Using an acutely instrumented swine model of neonatal hypoxia-reoxygenation, the objective of the present study was to examine the neurochemical effects of NAC administration in 5 brain regions exquisitely vulnerable to severe hypoxia. METHODS: In a blinded fashion, newborn piglets (1-4 d, 1.4-2.2 kg) were block randomized into surgical sham (SHAM), hypoxic control (HC) and NAC-treated (H-NAC) groups. Both HC and H-NAC piglets were subject to 2 h of alveolar hypoxia (paO(2) = 20-40 mm Hg) and then resuscitated with 100% O(2 )for 1 h followed by 21% for an additional 3 h. RESULTS: Our results show that two hours of severe hypoxemia causes metabolic acidosis and significant changes in cerebral amino acids including glutamate, aspartate and alanine, in all brain regions investigated including the cortex, basal ganglia and thalamus. The administration of NAC 10 min into the reoxygenation period and subsequently continued as an infusion, maintains post-resuscitation amino acid neurochemistry at the levels observed in SHAM piglets. CONCLUSIONS: In newborn piglets that have sustained brain injury related to hypoxia/reoxygenation, the administration of NAC does not disrupt cerebral amino acid balance and maintains cerebral amino acid homeostasis.
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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 | 0.000 |
| 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 | 0.000 |
| 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".