Impact of Maternal Obesity on Offspring microRNA Profiles: A Systematic Review of Experimental Models
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Maternal malnutrition, including obesity, can have long-term adverse effects on offspring health, potentially mediated by epigenetic mechanisms such as microRNAs (miRNAs). miRNAs play a critical role in regulating gene expression and may contribute to the developmental programming of offspring outcomes. This systematic review aimed to explore the association between maternal obesity during pregnancy and miRNA alterations in offspring, focusing on evidence from animal models. METHODS: A comprehensive search of Embase, PubMed, and Scopus databases identified 811 articles, of which 15 met the inclusion criteria. RESULTS: Our analysis highlighted a great variability of miRNAs and target tissues studied. Across the reviewed studies, 35 miRNAs were identified as differentially expressed in offspring exposed to maternal high-fat diets during pregnancy. These alterations were predominantly observed in the brain, liver, cardiac tissue, and adipose tissue, affecting processes related to insulin signaling, development and growth, immune response, and lipid metabolism. CONCLUSIONS: The miRNA alterations observed across studies support the hypothesis that a maternal high-fat diet may induce a programmed epigenetic signature in offspring.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 it