Maternal Intake of Dietary Fat Pre‐Programs Offspring's Gut Ecosystem Altering Colonization Resistance and Immunity to Infectious Colitis in Mice
Bibliographic record
Abstract
SCOPE: The transgenerational impact of dietary fat remains unclear. Here, the role of maternal fat consumption as a modulator of gut microbial communities and infectious disease outcomes in their offspring is explored. METHODS AND RESULTS: C57BL/6 mice are fed isocaloric high-fat diets throughout breeding, gestation and lactation. Diets contained either milk fat (MF), olive oil (OO) or corn oil (CO), with or without fish oil. The pups born to maternally exposed mice are weaned on to chow and raised into adulthood. At 8 weeks, the offsprings are either euthanized for colonic 16S rRNA analysis or challenged with the enteric pathogen, Citrobacter rodentium. Maternal CO exposure resulted in unique clustering of bacterial communities in offspring compared with MF and OO. Diets rich in CO reduced survival in offspring challenged with C. rodentium. The addition of fish oil did not improve mortality caused by CO and worsened disease outcomes when combined with OO. Unlike the unsaturated diets, MF is protective with and without fish oil. CONCLUSIONS: Overall, these data reveal that maternal intake of fatty acids do have transgenerational impacts on their offspring's bacteriome and enteric infection risk. Based on this study, saturated fats should be included in maternal diets.
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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 | 0.001 |
| 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".