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Record W4414831278 · doi:10.1093/jas/skaf300.183

65 Moderate body weight loss and one-carbon metabolite supplementation in early gestation beef heifers alters the fetal Longissimus dorsi transcriptome.

2025· article· en· W4414831278 on OpenAlexaff
Rebecca M Swanson, Layla E King, Wellison J. S. Diniz, Kathlyn M Hauxwell, Jennifer L Hurlbert, Yssi L Enztie, Jessica G Syring, Alison K Ward, Carl R Dahlen, Lawrence P. Reynolds, Matthew S Crouse, Joel S Caton

Bibliographic record

VenueJournal of Animal Science · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicReproductive Physiology in Livestock
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsFetusGestationEstrous cycleMetabolitePregnancySireBeef cattleWeight gain

Abstract

fetched live from OpenAlex

Abstract Moderate body weight (BW) loss occurs naturally throughout production cycles and is detrimental to fetal growth and development. Supplementing one-carbon metabolites may alleviate improper fetal development. The objective of this study was to determine the effects of early gestation nutrient restriction and one-carbon metabolite (OCM) supplementation on fetal skeletal muscle gene expression. Angus-cross heifers (n = 72) were subjected to estrus synchronization and bred to a single sire using female-sexed semen. At breeding, heifers were stratified by BW in a 2 × 2 factorial: fed to gain 0.45 kg/d (CON) or lose 0.23 kg/d (RES) BW and to receive corn carrier with OCM supplement (+OCM) or without (−OCM) from d 0 to 63 of gestation. The OCM supplement consisted of vitamin B12 (20 mg/wk) and folate (320 mg/wk) injections and dietary rumen-protected methionine (7.4 g/d) and choline (44.4 g/d). Pregnancy was determined on d 35 of gestation using transrectal ultrasonography, resulting in 31 pregnant heifers across treatments. On d 63 of gestation, heifers were slaughtered and the uterus was excised for fetal dissection. Fetal Longissimus dorsi (LD) tissue was collected into RNAlater and stored at -80℃. Total RNA was extracted and after quality control, sequenced on the Illumina NovaSeq 6000 platform. After quality control, reads were mapped to the ARS-UCD1.2 reference genome using STAR. Differential gene expression was analyzed using DESeq2 (log2FC ≥ |1| and P ≤ 0.05). Pathway analysis was conducted using ShinyGO at nGenes ≥ 2 and FDR ≤ 0.10. There were 148 differentially expressed genes (DEG) in RES+OCM vs. CON−OCM, and ABC transporters pathway was enriched. Among the DEG, MAT1, EPYC, and PANX3 have roles in bone development and function, and were downregulated ≥ 4-fold in RES+OCM. There were 62 DEG in RES+OCM vs. CON+OCM, and 63 DEG in RES+OCM vs. RES−OCM. Interestingly, the Tyrosine metabolism pathway was enriched in both the RES+OCM vs. CON+OCM and RES+OCM vs. RES−OCM contrasts, and cytosolic DNA-sensing pathways was enriched in the RES+OCM vs. RES−OCM comparison. Tyrosine metabolism has essential roles in catecholamine and thyroid hormone synthesis. No other pathways were enriched among the remaining contrasts. There were 61 DEG in RES−OCM vs. CON+OCM. There were 121 genes in RES−OCM vs. CON−OCM. MATN1 and EPYC were downregulated > 4-fold in RES−OCM. There were 92 DEG in CON−OCM vs. CON+OCM. HSPA6 is involved in the cellular response to heat stress and was upregulated more than 2-fold in CON−OCM. Our results suggest that moderate BW loss and one-carbon metabolite supplementation affect the fetal LD transcriptome. In fact, pathway analysis suggests supplementation of one-carbon metabolites in moderate BW loss heifers during early gestation affects gene expression in pathways associated with fetal growth and development, and biological function.

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 score0.003
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 head0.017
GPT teacher head0.265
Teacher spread0.247 · 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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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