Tissue-Specific Mitochondrial Functionality and Mitochondrial-Related Gene Profiles in Response to Maternal Nutrition and One-Carbon Metabolite Supplementation During Early Pregnancy in Heifers
Bibliographic record
Abstract
BACKGROUND: Mitochondria are essential for fetal development, regulating energy metabolism and metabolic programming. This study examined how maternal nutrition and one-carbon metabolite (OCM) supplementation during early gestation affect mitochondrial function in fetal liver and muscle at day 161 of gestation in beef heifers. METHODS: Twenty-nine crossbred Angus heifers were assigned to one of four treatments in a 2 × 2 factorial design: control (CON; 0.45 kg/day ADG) or restricted gain (RES; -0.23 kg/day), with or without OCM supplementation. Treatments were applied from breeding to day 63 of gestation, after which all heifers received a common diet. Fetal liver and muscle tissues were collected at day 161. Mitochondrial respiration (Seahorse assay), mtDNA copy number (qPCR), and mitochondria-related gene expression (RNA-seq) were assessed. RESULTS: ≤ 0.05). mtDNA copy number was greater in RES and +OCM groups. In fetal muscle, mtDNA copy number was influenced by gain, but respiration was unaffected. Transcriptomic analysis revealed more mitochondria-related differentially expressed genes (mtDEGs) in fetal muscle than liver (90% versus 10% of total mtDEG), with most genes downregulated in the RES and +OCM groups compared to the CON and -OCM groups (FDR ≤ 0.10). CONCLUSIONS: OCM supplementation enhanced mitochondrial respiration and biogenesis in fetal liver, likely via post-translational mechanisms. In contrast, fetal muscle showed downregulation of mitochondria-related genes without functional changes, indicating transcriptional reprogramming with potential effects on later metabolic function. These results underscore early gestation as a critical window for OCM-based nutritional interventions to improve metabolic outcomes in livestock.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".