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Record W4414831290 · doi:10.1093/jas/skaf300.184

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

2025· article· en· W4414831290 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
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsFetusMetaboliteGestationEstrous cyclePregnancySireWeight gainBeef cattle

Abstract

fetched live from OpenAlex

Abstract Moderate body weight (BW) loss occurs in production cycles, particularly among heifers with increased nutrient demand from pregnancy, ultimately hindering fetal growth and development. Feed costs and associated labor create a challenge for providing supplemental feed. However, stimulating the one-carbon metabolite cycle may alleviate this problem. The objective of this study was to determine if moderate changes in rate of BW gain and one-carbon metabolite (OCM) supplementation in early gestation beef heifers alters fetal liver gene expression. Angus-cross heifers (n = 72) underwent estrus synchronization and were bred to a single sire using female-sexed semen. At breeding, heifers were stratified by BW into a 2 × 2 factorial of treatments: fed to gain 0.45 kg/d (CON) or lose 0.23 kg/d (RES) BW and to receive corn carrier with OCM supplements (+OCM) or without (−OCM) from d 0 to 63 of gestation. The OCM supplements 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). On d 35 of gestation, pregnancy diagnosis confirmation was performed using transrectal ultrasonography. The heifers confirmed pregnant with female fetuses across treatments were CON−OCM (n = 7), CON+OCM (n = 7), RES−OCM (n = 9), RES+OCM (n = 8). On d 63 of gestation, heifers were slaughtered and the fetus was excised and dissected for fetal liver collection. Total RNA was extracted and subjected to quality control, then sequenced on the Illumina NovaSeq 6000 platform. Reads were mapped to the ARS-UCD1.2 reference genome using STAR, then differential gene expression was analyzed using DESeq2 (log2fold ≥ |1| and P ≤ 0.05). KEGG pathway enrichment was conducted using ShinyGO at nGenes ≥ 2 and FDR ≤ 0.10. There were 114 differentially expressed genes (DEG) in RES+OCM vs. CON−OCM. HTRA4 is involved in apoptosis and programmed cell death, and was upregulated > 2.5-fold in RES+OCM. Whereas, ADCYAP1R1, a gene involved in regulating stress responses, was downregulated > 6-fold in RES+OCM. There were 108 DEG in RES−OCM vs. CON+OCM, and the GnRH secretion pathway was enriched. No other pathways were enriched among other contrasts. PRSS56, a negative regulator of MYRF, was downregulated > 3.5-fold in RES−OCM. There were 78 DEG in RES+OCM vs. CON+OCM. There were 155 DEG in RES−OCM vs. CON−OCM. PRSS56 was downregulated 2.9-fold in RES−OCM. There were 108 DEG in CON+OCM vs. CON−OCM. SOX8, a gene involved in organogenesis was upregulated 3-fold in CON+OCM, while ADCYAP1R1 was downregulated > 6-fold. There were 113 DEG in RES+OCM vs. RES−OCM. Taken together, moderate BW loss and one-carbon metabolite supplementation during early gestation altered fetal liver gene expression. Most notably, ADCYAP1R1 was down regulated in response to OCM supplementation in both CON and RES groups.

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 score0.005

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 head0.023
GPT teacher head0.307
Teacher spread0.284 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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