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Record W2981350834 · doi:10.1093/cdn/nzz044.p08-069-19

Application of the Indicator Amino Acid Oxidation Method for the Determination of the Metabolic Availability of Lysine from Indian Sorghum Protein in Young Adult Men (P08-069-19)

2019· article· en· W2981350834 on OpenAlexaffabout
Alyssa Paoletti, Paul B. Pencharz, Rajavel Elango, Ronald O. Ball, Crystal L Levesque, Abrar Fakiha, Zujaja Tul‐Noor, Glenda Courtney‐Martin

Bibliographic record

VenueCurrent Developments in Nutrition · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicGABA and Rice Research
Canadian institutionsUniversity of AlbertaHospital for Sick Children
Fundersnot available
KeywordsSorghumLysineComplementationAmino acidFood sciencePhenylalanineChemistryBiochemistryBiologyAgronomy

Abstract

fetched live from OpenAlex

To measure the protein quality of cooked sorghum by determining the metabolic availability (MA) of lysine; the first limiting indispensable amino acid. Additionally, we aimed to assess the effect of complementation by combining lentils and sorghum in a mixed meal format. In a repeated measures design, the MA of lysine in sorghum was studied using the indicator amino acid oxidation (IAAO) method with L-[1–13C] phenylalanine as the indicator at four levels of lysine: 5, 8, 12, 15 mg. kg−1. d−1 in five healthy adult men. These intakes represent 13, 21, 32 and 40%, respectively, of the lysine requirement (37 mg. kg−1. d−1) for adult men. Each subject participated in 8 experimental diets: 4 lysine intakes as L-lysine from crystalline amino acid, 3 intakes of lysine from sorghum prepared by moist cooking and 1 experiment to discern the effects of complementation with lentils. The principles of slope-ratio were applied to calculate the MA of lysine in sorghum by comparing the IAAO response to varying intakes of lysine in cooked sorghum relative to the IAAO response to free crystalline lysine in the reference protein which was modelled after egg protein. The MA of lysine from cooked sorghum was found to be 94%. Upon complementation with lentils, there was a decline in the oxidation of L-[1–13C] phenylalanine, reflecting an increased uptake of lysine for the synthesis of protein. The findings demonstrate that most of the lysine in cooked sorghum, the fifth most commonly consumed cereal grain, is available for protein synthesis despite being of limiting concentration. Upon complementation with lentils, there was a decrease in oxidation which highlights the effectiveness of complementation. A combination of sorghum and lentil protein in a 2:1 ratio is a viable strategy to improve the protein quality for individuals consuming a plant-based sorghum and lentil diet. Supported by the Canadian Institutes for Health Research. Pfizer Consumer Healthcare (Mississauga, Ontario) donated the multivitamins. Mead Johnson Nutritionals donated the protein-free powder for experimental diets.

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)0.001
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 score0.510
Threshold uncertainty score0.124

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.020
GPT teacher head0.292
Teacher spread0.273 · 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

Citations0
Published2019
Admission routes2
Has abstractyes

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