243 Translating Maternal Vitamin and Mineral Supplementation Effect on Early Developing Fetus Through Hepatic Long Non-Coding Rnas Profile in Beef Heifers
Bibliographic record
Abstract
Abstract Maternal nutrition is critical during pregnancy as the fetus relies on the nutrients from the dam. Fetal organogenesis starts during the first trimester. Thus, an appropriate supply of nutrients, including vitamins and minerals, is indispensable. In the field of fetal developmental programming, there is still a lack of knowledge based on appropriate livestock models to explain the role of regulatory factors in translating the effect of maternal minerals and vitamins on fetal development and metabolic function. Therefore, this study was designed to investigate the effect of maternal vitamin and mineral supplementation (VTM -d 71 periconceptual to d 83 of pregnancy) on fetal liver expression of long non-coding RNAs (lncRNAs) and their potential regulatory metabolic pathways. Angus crossbreed beef heifers (n = 16) were supplemented (VTM, n = 8) or not (NoVTM, n = 8) with 113 g· heifer-1· day-1 of mineral premix (Purina Wind & Rain Storm All-Season 7.5 Complete) and all heifers were bred with female sexed semen from a single sire. Transcriptomic profiles were determined with RNA-Seq in fetal livers collected on d 83 ± 0.27 of gestation. After data quality control and read mapping, lncRNAs were predicted using the FEELnc pipeline. Using the DESeq2 software, we identified 50 differentially expressed novel lncRNAs (expression of 32 lncRNAs was upregulated and 18 were downregulated; FDR < 0.05) located either downstream, upstream, or in exonic, or intronic regions of 51 genes (including PFKP, SLC30A10, KCNH8, ZNF451, MINPP1, BCL9, PAH, ITPR2, AHCY, and ABCG8), potentially regulating their expression. These genes could affect pathways (FDR < 0.1) such as PI3K signaling, mineral storage and transport, and amino acids biosynthetic pathways (i.e., cysteine and methionine biosynthesis). Collectively, these results suggest that periconceptual maternal vitamin and mineral supplementation affects the expression of lncRNAs and potentially regulates the expression of genes involved in fetal liver development and function.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".