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Record W4414830909 · doi:10.1093/jas/skaf300.603

PSXII-11 Maternal supplementation with guanidinoacetic acid and methionine: effects on arginine sparing, placental blood flow, and cow-calf performance.

2025· article· en· W4414830909 on OpenAlexaff
Luiz Jardel Müller Motta, Marta Maria Antonieta de Souza Santos, Luiza Vitarelli Kladt, Thaís Correia Costa, Lilian Yukie Pacheco Toma, Luthesco Haddad Lima Chalfun, Cláudia Batista Sampaio, Mateus Pies Gionbelli, Márcio de Souza Duarte

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Hydrolysis and Bioactive Peptides
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsGestationVenipunctureMethioninePregnancyOffspringArginineFetusEstrous cycleFactorial experiment

Abstract

fetched live from OpenAlex

Abstract Our aim was to assess whether maternal guanidinoacetic acid (GAA) supplementation, with or without rumen-protected methionine (RUP-Met) as a methyl group donor affects performance, plasma amino acid, and placental blood flow in pregnant beef cows during late gestation, and whether it impacts offspring performance. From day 202 of gestation until parturition, thirty-six Nelore cows (502 ± 12.8 kg) carrying female fetuses were randomly assigned to one of four treatments in a 2×2 factorial design: control (without inclusion of GAA and RUP-Met), RUP-Met (providing 0.02 g/kg BW of RUP-Met), GAA (providing 0.12 g/kg BW of GAA), and GAA+RUP-Met (providing 0.12 g/kg BW of GAA and 0.02 g/kg BW of RUP-Met). Body weight (BW) of the cows was taken at the beginning and end of the evaluation period. On days 232 and 267 of gestation blood samples were collected via jugular venipuncture and plasma was stored frozen at -20ºC for further analysis of amino acids. Simultaneously, approximately 50 mL of urine was collected by stimulated urination and stored at -80ºC for analysis of 3-methylhistidine. Uterine blood flow was evaluated at day 240 of gestation using Doppler ultrasound. At birth and weaning, calves from all treatments were weighed and kept with their dams under the same environmental and nutritional conditions. All statistical analyses were performed using the GLIMMIX procedure of SAS Studio and initial BW was used as a covariate when appropriate. Treatment effects were declared at P < 0.05. There was no treatment effect on cows’ voluntary intake (P = 0.44). Similarly, no treatment effect was observed in offspring performance (P = 0.79) and final BW of cows (P = 0.48). On the other hand, dietary GAA and GAA+RUP-Met had the lowest urinary concentration of 3-methylhistidine (corrected for creatinine), while the control treatment had the highest and RUP-Met showed intermediate values (P = 0.01). In contrast, dietary GAA and GAA+RUP-Met increased plasma concentration of arginine (P = 0.02) compared to other treatments. Glycine concentrations were highest in the GAA+RUP-Met treatment, being different from the control and RUP-Met treatment, while the GAA treatment showed intermediate values (P < 0.01). Conversely, dietary RUP-Met increased plasma methionine concentrations, with intermediate levels in GAA+RUP-Met treatment, and the lowest levels in control and GAA treatment (P < 0.01). A greater pulsatility index was observed in GAA treatment, followed by GAA+RUP-Met with intermediate values, and control and RUP-Met treatments showed the lowest values (P = 0.04). Supplementation of GAA alone or combined with RUP-Met as a methyl donor increases placental blood flow, spared arginine and reduce skeletal muscle catabolism in beef cows during late gestation. However, it does not affect offspring performance.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 head0.005
GPT teacher head0.245
Teacher spread0.241 · 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 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".

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Citations1
Published2025
Admission routes1
Has abstractyes

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