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Record W4411287960 · doi:10.1093/jas/skaf203

Maternal metabolizable energy intake during late gestation affects energy metabolism of the skeletal muscle of beef offspring

2025· article· en· W4411287960 on OpenAlexafffundabout
Luiza Vitarelli Kladt, Ziting Li, Cristina Mattos Veloso, Koryn S Hare, Walmir da Silva, Katharine M Wood, Mateus Pies Gionbelli, M.A. Steele, Márcio de Souza Duarte

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversity of SaskatchewanUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaCoordenação de Aperfeiçoamento de Pessoal de Nível Superior
KeywordsOffspringEnergy metabolismGestationSkeletal muscleMetabolismAffect (linguistics)EndocrinologyPregnancyAnimal scienceBiologyInternal medicinePhysiologyMedicinePsychology

Abstract

fetched live from OpenAlex

The objective of this study was to evaluate the effects of varying levels of maternal metabolizable energy (ME) intake during late gestation on the changes in postnatal development of skeletal muscle in calves. A total of 42 primiparous (n = 21) and multiparous (n = 21) pregnant Angus-Simmental beef cows (680.8 ± 74.4 kg) were housed indoors at the Ontario Beef Research Center at the University of Guelph. Cows were blocked by predicted calving date, balanced by initial body weight and parity, and randomly assigned to one of 3 treatment diets designed to provide 92% (LME, n = 16), 104% (CME, n = 13), or 118% (HME, n = 13) of predicted ME requirements, based on a 715 kg Angus cow with body condition score (BCS) 7 programmed to lose 2 BCS units over late gestation. All cows were managed under a planned moderate negative energy balance starting 53 d before expected calving. At birth, calves were weighed before suckling the dam, and again on day 209 at weaning. At 28 d of age, plasma and serum samples were collected for insulin, glucose, BHBA, and non-esterified fatty acids analysis. At 30 d of age Longissimus muscle samples were biopsied from the calves and were used for mRNA expression and protein abundance for energy metabolism. All statistical analyses were performed in SAS Studio, in a mixed model including the fixed effects of treatment and parity, and the random effect of sire. No differences were observed among treatments for calf birth weight, weaning weight, and metabolic profile. A lower mRNA expression of MYH1 was observed (P = 0.02) in the skeletal muscle of calves from the HME and LME groups compared to the CME. An increased mRNA expression of both MYH2a (P = 0.04) and MYH2 × (P = 0.01) was observed in calves from LME compared to HME, suggesting potential alterations in muscle fiber composition that may influence metabolic efficiency and growth performance. A greater mRNA expression of PPARα (P = 0.04), PPARGC1α (P = 0.04), and MEF2A (P = 0.01) were observed in calves from the LME group compared to the HME. A greater AMPK activity was observed (P = 0.01) in the skeletal muscle of calves from the LME group compared to CME and HME. In contrast, Akt activity was greater in HME and LME groups compared to CME (P = 0.01). Our findings suggest that maternal ME intake affected the muscle energy metabolism of the offspring, the oxidation of fatty acids, mitochondrial biogenesis, and the use of muscle fiber-type fuel.

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 score0.002
Threshold uncertainty score0.005

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 head0.008
GPT teacher head0.256
Teacher spread0.248 · 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".

Quick stats

Citations2
Published2025
Admission routes3
Has abstractyes

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