C‐section birth increases offspring obesity risk dependent on maternal diet and obesity status in rats
Bibliographic record
Abstract
OBJECTIVE: The gut microbiota is a complex ecosystem that shapes host metabolism, especially in early life. Maternal vaginal and gut microbiota is vertically transmitted to offspring during natural birth. Offspring born by cesarean section (CS) do not receive these bacteria and exhibit higher obesity risk later in life. The objective of this study was to examine differences in obesity risk between offspring born naturally (NB) or by CS to lean/obese dams. METHODS: Lean and obese rat dams gave birth to offspring naturally or by CS. Offspring obesity risk was analyzed via body weight/composition, food intake, sucrose preference, gut microbiota, and gene expression in gut and brain tissues. RESULTS: Obese (O)+CS offspring showed greater weight gain and caloric intake but a reduction in hypothalamic agouti related neuropeptide, neuropeptide Y, and interleukin 1β expression compared with O+NB offspring. Lean (L)+CS offspring had higher serum corticosterone concentration and reduced liver peroxisome proliferator-activated receptor γ expression compared with L+NB. O+CS offspring had long-term alterations to gut microbiota, including increased relative abundance of Faecalibaculum and reduced Muribaculaceae. CONCLUSIONS: Overall, CS alters obesity risk differentially based on maternal obesity status. Further studies looking at the risks of obesity associated with CS are needed, with special attention paid to maternal obesity status and gut microbiota.
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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".