Low Dietary Vitamin D since Pre‐mating Does not Modify Fecal <i>Bacteroides</i> Counts of Mouse Dams at the End of Pregnancy
Notice bibliographique
Résumé
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.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».