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Record W1990842431 · doi:10.1159/000241148

Thermic Effects of Glucose, Amino Acid and Lipid in the Term Newborn

2009· article· en· W1990842431 on OpenAlexaff
Julia Salomon, Paul R. Swyer, E Jéquier

Bibliographic record

VenueBiology of the Neonate · 2009
Typearticle
Languageen
FieldMedicine
TopicDiet and metabolism studies
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsCatabolismSpecific dynamic actionAmino acidInternal medicineEndocrinologyThermogenesisIngestionProtein catabolismLipid metabolismLipid oxidationMetabolismStimulationChemistryResting energy expenditureBiochemistryBasal metabolic rateBiologyEnergy metabolismMedicineAdipose tissue

Abstract

fetched live from OpenAlex

The thermic effect in term infants of intragastric isocaloric amounts of glucose, lipid and amino acid have been compared with control infants given water on the third to fifth days of life. In contrast with adults, the thermic effect of glucose was found to be non-existent and for lipids weak and ill-sustained. These results suggest that these nutrients are mainly oxidised and that processes involving an elevated metabolic cost, such as lipid synthesis, play a minor role. The ingestion of an isocaloric load of amino acids induced a small thermic effect (4.4% of the energy content of the load in 2 h). This effect is probably related to a low rate of protein synthesis or amino acid catabolism and an absence of tissue deposition. The small thermic effect observed suggests that a significant part of the load is not metabolised or channeled into protein synthesis. In term infants the weak thermic effect after amino acid and the failure of glucose and lipid to stimulate metabolism may possibly be analogous to the lack of post-prandial thermic effect reported in non-growing children suffering from malnutrition. It can be hypothesised that in both cases the energy storage related to lipid and protein synthesis is absent or minimal. Therefore, there is no stimulation of energy expenditure to produce a thermic effect.

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 score0.895
Threshold uncertainty score0.145

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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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".

Quick stats

Citations8
Published2009
Admission routes1
Has abstractyes

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