The effects of a high-fat diet and bacterial lipopolysaccharide (LPS) induced inflammation on pregnancy and fetal development in mice
Bibliographic record
Abstract
Inflammation during pregnancy can disturb maternal tolerance of the fetus. In mice, maternal high-fat diet (HFD) induces inflammation without pregnancy complications. I hypothesised that an additional inflammatory insult would exacerbate the immune response, leading to serious complications. To test this, I developed a HFD/LPS model, where female mice were fed a high-fat or low-fat diet prior to mating, and then treated with either bacterial lipopolysaccharide (LPS), an inflammatory stimulant, or a control. Diet, LPS or a diet-LPS interaction had no effect on fetal and placental parameters or maternal levels of TNF-α, an inflammatory marker (p>0.05). Furthermore, fetal and placental parameters did not differ between HFD mice that were prone or resistant to weight-gain. While diet or a diet-LPS interaction did not affect pregnancy, LPS treatment alone caused complete fetal loss in some mice (p<0.05). These findings suggest that LPS does not exacerbate the inflammatory effects of HFD in pregnant mice.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.003 | 0.001 |
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".