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Arginine or Guanidinoacetic Acid Can Serve as Precursors for Creatine Synthesis in Parenteral Nutrition, but Only with Excess Methionine to Facilitate Transmethylation

2016· article· en· W2891762431 on OpenAlexaffabout
Scott D. Bray, Alaa Aljaroudi, O. Chandani Dinesh, Thillayampalam Kankayaliyan, Janet A. Brunton, Robert F. Bertolo

Bibliographic record

VenueThe FASEB Journal · 2016
Typearticle
Languageen
FieldNursing
TopicClinical Nutrition and Gastroenterology
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsCreatineMethionineTransmethylationArginineInternal medicineAmino acidEndocrinologyChemistryBiochemistryBiologyMedicine

Abstract

fetched live from OpenAlex

Creatine synthesis in neonates demands high amounts of its precursors, arginine and methionine. Parenteral nutrition (PN) is typically marginal in these amino acids and devoid in creatine. The present study investigated the effectiveness of creatine supplementation of PN compared to supplementation with arginine, methionine and the unmethylated intermediate guanidinoacetic acid (GAA). The goal of this study was to determine if PN supplementation with creatine or GAA can spare methionine and/or arginine for other functions. Yucatan miniature‐piglets (6–10 d old; n=31) were fed 1 of 5 elemental PN diets: 1) low arginine and low methionine (Low Arg&Met), 2) low arginine and methionine plus GAA, 3) low arginine and methionine plus creatine, 4) high arginine and high methionine (High Arg&Met), or 5) low arginine with high methionine plus GAA (Met&GAA). After 7 d of feeding, a primed, constant infusion of [ 3 H‐methyl]‐methionine was intravenously infused for 4 h and label incorporation in transmethylation products (creatine, phosphatidylcholine, DNA) and protein were measured. Both High Arg&Met and Met&GAA pigs had greater daily weight gain compared to GAA‐ and creatine‐supplemented pigs (p < 0.05), indicating methionine was deficient in low methionine groups. Moreover, 72‐h nitrogen retention was significantly greater in High Met&Arg and Met&GAA pigs compared to GAA (p < 0.05). These results suggest that because methionine is heavily transmethylated in the neonatal piglet, excess methionine is needed to promote protein synthesis and increase growth. As expected, plasma methionine and arginine concentrations were significantly higher in High Met&Arg compared to Low Arg&Met, GAA and creatine treatments (p < 0.05). Plasma levels of ornithine were significantly higher and glutamine levels were significantly lower in High Met&Arg compared to all other treatments (p < 0.05) suggesting urea cycle metabolism was limited in the low arginine groups. Hepatic fractional synthetic rate of creatine was ~30–40% higher in High Met&Arg and Met&GAA pigs, suggesting creatine synthesis was limited by precursor availability. These results also suggest that PN supplementation of GAA requires excess levels of methionine to facilitate transmethylation to creatine. These results suggest that arginine or GAA is needed to adequately synthesize creatine in PN‐fed piglets, but only when sufficient methionine is fed to provide methyl groups. Moreover, it is clear that the methionine and arginine requirements during PN feeding need to accommodate creatine synthesis. Support or Funding Information Supported by Canadian Institutes of Health Research and the Janeway Research Foundation

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.055
GPT teacher head0.309
Teacher spread0.253 · 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 source (direct Gemma or distilled Codex), 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
Published2016
Admission routes2
Has abstractyes

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