Maternal adaptations in mouse lactation are vulnerable to diet-induced excess adiposity
Bibliographic record
Abstract
Abstract Lifetime maternal risk of obesity is increased by excess gestational weight gain, which alters maternal metabolic adaptations in pregnancy, but the effects of excess weight retention/adiposity in the early postpartum period have not been extensively studied. The pathophysiology of excess adiposity and its accompanying immunometabolic dysregulation are associated with impaired intestinal barrier function in both non-pregnant and pregnant contexts. Using a mouse model, we investigated effects of diet-induced excess adiposity on maternal physiological adaptations during lactation. We report that in lactation, excess adiposity altered maternal intestinal morphology, influenced local immune cell composition and phenotype, increased intestinal permeability, and altered whole-body glucose metabolism as well as peripheral inflammation and immune cell composition. Many of these effects persisted two months post-lactation in mice with excess adiposity. Our findings have important implications for the development of interventions for periconceptual/perinatal excess adiposity and emphasize that further studies are needed to better understand effects of excess adiposity on maternal postpartum health.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".