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Record W4282837364 · doi:10.1093/cdn/nzac057.002

The Amount of Dietary Methionine Required to Maximize Synthesis of Transmethylated Products Is Higher Than That Needed for Protein Synthesis in Neonatal Piglets

2022· article· en· W4282837364 on OpenAlexaff
Mahesha U Asiriwardhana, Janet A. Brunton, Robert F. Bertolo

Bibliographic record

VenueCurrent Developments in Nutrition · 2022
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMethionineTransmethylationCreatineBiochemistryChemistryAmino acid

Abstract

fetched live from OpenAlex

Methionine is an indispensable sulfur-containing amino acid required for synthesizing protein as well as other critical nutrients. Methionine is the primary methyl donor for >50 transmethylation reactions to produce metabolites including creatine, phosphatidylcholine (PC), and methylated DNA. In piglets, because only one-third of methionine flux is incorporated into protein compared to transmethylation reactions (∼2/3), non-protein demands need to be considered when determining methionine requirement. Our objective was to quantify how much dietary methionine is required to maximize synthesis of protein as well as key transmethylated products. We hypothesized that more dietary methionine will be needed to maximize creatine synthesis, with lower levels required to maximize PC and protein synthesis. Twenty surgically altered Yucatan miniature piglets (∼8 d old; ∼1.6 kg) were fed complete diets for 5 d and then randomized to 20 test diets with methionine intakes ranging from 20%-220% of requirement (0.05–0.55 g/kg/d). After 24 h of test diet, [3H-methyl]-methionine was infused for 6 h to measure methyl incorporation into creatine, PC, and methylated DNA, and then a3H-phenylalanine flooding dose was given to measure protein synthesis. Break-point analysis was used to identify the methionine required to maximize product synthesis. Plasma methionine increased above 0.3 g methionine/kg/d, reflecting the whole body requirement. Creatine synthesis maximized at ∼0.3 g methionine/kg/d, while muscle protein synthesis was maximized at 0.2 g methionine/kg/d, suggesting growth is prioritized when methionine is limiting. PC synthesis was low up to 0.35 g methionine/kg/d and increased linearly with higher intakes, suggesting PC synthesis was not maximized at 200% of requirement.3H-DNA did not change with dietary methionine, and plasma homocysteine was positively correlated with dietary methionine. These data suggest that more methionine is required to accommodate demands for creatine and PC synthesis than that for protein synthesis. Therefore, methionine requirement estimates for infants, which rely on protein synthesis outcomes, are likely insufficient to achieve maximal synthesis of key methylated metabolites creatine and PC. NSERC.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.463
Threshold uncertainty score0.641

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.073
GPT teacher head0.329
Teacher spread0.256 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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