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Record W1965194893 · doi:10.1017/s0007114512000773

Pulse grain consumption and obesity: effects on energy expenditure, substrate oxidation, body composition, fat deposition and satiety

2012· review· en· W1965194893 on OpenAlexaff
Christopher P. F. Marinangeli, Peter J.H. Jones

Bibliographic record

VenueBritish Journal Of Nutrition · 2012
Typereview
Languageen
FieldNursing
TopicFood composition and properties
Canadian institutionsUniversity of ManitobaKellogg's (Canada)
Fundersnot available
KeywordsObesityAdipose tissueEnergy expenditureFood sciencePulse (music)EndocrinologyGlutamineInternal medicineChemistryBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

Pulses have been identified as important components of a healthy diet. Assessment of pulse grains' nutritional composition alongside data from available preclinical and clinical trials suggests that pulses can modulate biological processes that lead to obesity. Components of pulse grains, including pulse-derived fibre and resistant starch, have been shown to alter energy expenditure, substrate trafficking and fat oxidation as well as visceral adipose deposition. Although mechanistic studies are scarce, studies have indicated that fibres found in pulses can have an impact on the expression of genes that modulate metabolism. Arginine and glutamine may produce thermogenic effects as major components of pulse grain proteins. Finally, evidence suggests that pulse-derived fibres, trypsin inhibitors and lectins may reduce food intake by inducing satiety via facilitating and prolonging cholecystokinin secretion. Nonetheless, the aforementioned data remain controversial and associations between dietary pulse grains and energy intake require further study. Given the available evidence, it can be concluded that pulses could be useful as functional foods and food ingredients that combat obesity.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.981
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.273
Teacher spread0.244 · 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.

Study designOther design
Domainnot available
GenreReview

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

Citations54
Published2012
Admission routes1
Has abstractyes

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