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Abstract 10894: Cerebral Energy Metabolism and Pools of Neurotransmitters Related to the Use of Deep Hypothermic Circulatory Arrest in Infant Piglets

2015· article· en· W3029627145 on OpenAlexaff
Masaki Kajimoto, Dolena Ledee, Aaron Olson, Nancy Isern, Christine Des Rosiers, Michael A. Portman

Bibliographic record

VenueCirculation · 2015
Typearticle
Languageen
FieldNeuroscience
TopicAnesthesia and Neurotoxicity Research
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineCirculatory systemEnergy metabolismDeep hypothermic circulatory arrestMetabolismAnesthesiaCardiologyPhysiologyInternal medicineCerebral blood flowCerebral perfusion pressure

Abstract

fetched live from OpenAlex

Introduction: Complex congenital cardiac defect repair in infants often requires deep hypothermic circulatory arrest (DHCA). As immediate or late neurological complications still occur, adjunctive selective cerebral perfusion (SCP) theoretically provides superior neural protection by supplying oxygen and substrate and maintaining energy metabolism. Hypothesis: SCP preserves glucose utilization, energy metabolism, and glutamate cycling in comparison to DHCA alone. Methods: Fourteen male Yorkshire piglets (age 34-44 days) were assigned randomly to 2 groups (DHCA or SCP for 60 minutes at 18°C). Cerebral perfusion through 1st branch of aorta was maintained at 40 ml/kg/min during SCP. After the completion of rewarming, 13-Carbon-labeled glucose ( 13 C-glucose) was infused through common carotid artery for 1 hour under continuous cardiopulmonary bypass support and then cerebral tissue was extracted. Gas chromatography-mass spectrometry and nuclear magnetic resonance were used for cerebral metabolic analysis in the frontal cortex of brain. Results: There were no operative or technical complications in any groups. Cerebral rSO 2 in simple DHCA dropped substantially to ~ 25% during DHCA, but maintained over 80% in SCP. Apoptosis by TUNEL assay was significantly less in SCP at 2.5 hours after DHCA. ATP levels in the extracted cerebral tissue were similar between 2 groups but glycogen store were higher in SCP. Absolute levels of lactate and citric acid cycle intermediates and their 13 C-enrichment were similar in the cerebral tissue between the 2 groups. However, SCP increased absolute and 13 C-enrichment for glutamate and compared to DHCA, while gamma aminobutyric acid (GABA) increased in DHCA. Conclusions: SCP added to DHCA does not provide additional ATP preservation or modify glucose oxidation. However, SCP does alter glucose cycling into alternate pathways, leading to preservation of glycogen, and shifts flux away from GABA, a major inhibitory neurotransmitter, and towards glutamate. These flux changes suggest that SCP decreases synaptic inhibition, which may relate to the reduced neural apoptosis.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.869
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.076
GPT teacher head0.275
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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