Low Dietary Vitamin D since Pre‐mating Does not Modify Fecal <i>Bacteroides</i> Counts of Mouse Dams at the End of Pregnancy
Bibliographic record
Abstract
Rationale Pioneering data suggested that micronutrients, including vitamin D, affect gut microbiota composition. This may be particularly relevant during pregnancy, since vitamin D supplementation is a common strategy worldwide to support health of the mother and her fetus. Alteration of the gut microbiota during pregnancy may affect gut microbial colonization of the newborn via vertical transfer (mother to offspring) of mother‐derived microorganisms and hence have long‐lasting effects to offspring health. The objective of this study was to determine if altering the level of dietary vitamin D affects the counts of Bacteroides , representing a main Gram‐negative genus in the gut microbiota, in the feces of dams prior to delivery. Study Design & Methods 3‐week old female C57BL/6J mice were fed AIN‐93G diet containing either 25 (low, LD) or 5000 (high, HD) IU vitamin D/kg diet (significantly below and above the 1000 IU vitamin D/kg of the reference AIN‐93G diet) for 4 weeks before mating until the end of lactation (age 13 weeks). Body weight was assessed at mating and weaning. Freshly passed fecal samples were collected just before mating (n=3–6), 1 week post‐mating (n=3–6), and before birth (n=19–20), and used for DNA extraction and quantification of Bacteroides using genus‐specific primers by quantitative PCR. Counts were normalized to total bacteria. Results There was no difference in body weight at mating ( p = 0.771) nor in body weight gain throughout pregnancy and lactation between the groups ( p = 0.238). Percent of fecal Bacteroides normalized to total bacteria increased over time and peaked before birth, independent of the vitamin D intervention (Diet: 0.402, Time: 0.003, Interaction: 0.508). There were no differences in percent Bacteroides normalized to total bacteria between dams receiving high or low vitamin D at the end of pregnancy (LD: 9.10 ± 2.01%, HD: 14.15 ± 2.85%; p = 0.153). Conclusion Bacteroides belong to the core microbiome and are largely saccharolytic. Their increase throughout pregnancy may modify the relationship between microbiota and energy metabolism in the mother and thus her offspring, besides affecting colonization of the offspring. While vitamin D impacts murine microbiota in health and colitis models, here, two substantially different levels of dietary vitamin D did not affect fecal Bacteroides variation during pregnancy. This suggests that Bacteroides are not susceptible to dietary vitamin D or that its effects are masked by other factors in this context. Studies of the whole microbiome at various intestinal regions will help understand this relationship. Support or Funding Information ‐Centrum Foundation Pfizer Consumer Healthcare Research Innovation Fund and the Department of Nutritional Sciences at the University of Toronto to WEW and EMC. ‐NSERC Discovery Grant to EMC. ‐Christopher R. Villa was partially funded by the Banting and Best Diabetes Centre‐Novo Nordisk Studentship and ‐Tamarack Graduate Award in Diabetes Research and by an Ontario Graduate Scholarship. ‐Wendy Ward holds a Canada Research Chair in Bone and Muscle Development. ‐Elena Comelli holds the Lawson Family Chair in Microbiome Nutrition Research at the University of Toronto.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".