MétaCan
Menu
Back to cohort
Record W2089914270 · doi:10.1159/000240679

Amino Acid Metabolism by the Fetal Brain during Normal and Hypoglycemic Conditions

2009· article· en· W2089914270 on OpenAlexaff
Joseph D. Schulman, Leon I. Mann, Larry Doores, Sybil Duchin, John Halverstam, John Mastrantonio

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicNeonatal and fetal brain pathology
Canadian institutionsWomen's Health Research Institute
Fundersnot available
KeywordsFetusHypoglycemiaAmino acidInternal medicineEndocrinologyMedicineUmbilical veinPregnancyInsulinBiologyBiochemistry

Abstract

fetched live from OpenAlex

Serum amino acid concentrations were quantitated using gas-liquid chromatography on blood samples drawn from fetal carotid artery, fetal sagittal vein, and a maternal peripheralartery under baseline conditions and during maternal and fetal hypoglycemia induced acutely by maternal insulin infusion. Serum concentrations of all amino acids were higher in the fetus than in the mother; in most cases, the fetal levels were 2–4 times higher than the maternal. A similar pattern was observed during hypoglycemia, although there was a tendency for most maternal arterial serum amino acid concentrations to decline during hypoglycemia and for most fetal sagittal vein concentrations to increase. Positive arterio venous differences in amino acid concentration across the fetal brain were demonstrated for 14 of 15 amino acids. These differences decreased during hypoglycemia for 12 of these 14 amino acids, and for 7 of these amino acids the hypoglycemic arteriovenous differences actually became negative. The data suggest that acute feto-maternal hypoglycemia impairs net uptake of multiple amino acids by the fetal brain. The relationship, if any, between such impairment and the untoward clinical effects of severe perinatal and/or neonatal hypoglycemia must be established by further investigation.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.748
Threshold uncertainty score0.267

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 studies0.0000.001
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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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 designBench or experimental
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".

Quick stats

Citations9
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueBiology of the NeonateSame topicNeonatal and fetal brain pathologyFrench-language works237,207