High Maternal Vitamin D Status <i>in utero</i> through Weaning Beneficially Affects the Gut Microbiota‐Bone Axis in Obese Male Mice
Bibliographic record
Abstract
The gut microbiota may impact bone health via its released lipopolysaccharides (LPS), peptidoglycans or other metabolites, which we named the gut microbiota‐bone axis. A high‐fat high‐sugar diet increases serum LPS, decreases gut Bacteroides counts and weakens bones. In contrast, vitamin D has been recently shown to positively influence the composition of the gut microbiota, in addition to its important role in bone health. Interestingly, epidemiological studies show that prenatal vitamin D status is a critical contributor to offspring bone status. The purpose of this study was to investigate if exposure to high dietary vitamin D in utero and through weaning positively impacts gut microbiota and protects against chronic inflammation and compromised bone health in adult male mice fed a high‐fat high‐sugar diet. C57BL/6J dams were fed modified AIN93G containing high (H, 5000 IU/kg diet) or low (L, 25 IU/kg diet) vitamin D during pregnancy and lactation. At weaning, male pups remained on their respective vitamin D levels (HH or LL) or were switched (HL or LH) and fed a high‐fat high‐sugar diet to induce chronic inflammation. At seven months of age, colonic Bacteroides and serum LPS were quantified by quantitative PCR and ELISA and bone microarchitecture at the distal femur and lumbar vertebra 2 was assessed via micro computed tomography. Higher maternal but not offspring vitamin D status resulted in higher colonic Bacteroides counts (p=0.0004) and lower serum LPS (p=0.011) such that Bacteroides counts were negatively correlated with serum LPS (Spearman r=−0.49; p=0.018). Femur microarchitecture of offspring was also improved through higher maternal vitamin D status. Specifically, higher maternal vitamin D status resulted in offspring with higher bone volume/tissue volume (p=0.052), higher trabecular number (p=0.022) and lower trabecular separation (p=0.015) at distal femur and higher bone volume/tissue volume (p=0.049) at lumbar vertebra 2 compared to mothers with low vitamin D status. This suggests that the gut microbiota‐bone axis is programmed in utero and through weaning and is susceptible to nutritional modulation; the effects of low vitamin D status during these early life stages cannot completely be rescued by postnatal supplementation. Moreover, vitamin D may impact bone health via gut microbiota‐derived LPS. Support or Funding Information Funded by Centrum Foundation Research Innovation Fund, Department of Nutritional Sciences U of T, NSERC, Lawson Family Chair in Microbiome Nutrition Research, Banting and Best Diabetes Centre Novo Nordisk Studentship and Tamarack Graduate Award.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".