PSV-3 Impacts of rotational ingredient supplementation on canine gastrointestinal microbiota upon exposure to rapid dietary change.
Notice bibliographique
Résumé
Abstract Rapid dietary changes have been reported to disrupt gastrointestinal health, but there is limited data on effective mitigation strategies. The objective of this study was to assess the impact of increased dietary diversity in response to an abrupt dietary transition as measured by short-chain fatty acid (SCFA) concentrations and microbial composition. Labrador retrievers (n = 16) aged 1-3 yo, BCS (5-6), enrolled in detection dog training and receiving daily conditioning and exercise, participated in a 120-day study. Dogs were enrolled into one of two treatment groups. Control dogs (CON) received a single basal diet, while rotational ingredient dogs (ROT) received the same basal diet with rotating supplemental ingredients (2.5% of total daily DM intake) over 90 days, including oatmeal, blueberries, pumpkin, beef liver, salmon, and rabbit. Following a 30-day acclimation period, both groups underwent a rapid, untransitioned dietary change (dietary challenge) for two meals (am/pm feedings) on days 0, 45, and 90. Fecal samples were collected across three consecutive days for each testing period beginning at d0, 45, and 90 and analyzed for SCFA concentrations and microbial composition. Statistical analysis was conducted using SAS (v 9.4) with significance set at 5%. Concentrations of SCFA were impacted across both treatment groups following the dietary challenge. All dogs experienced increased concentrations of butyric acid (P = 0.0015) and propionic acid (P = 0.0209) following the dietary challenge. Conversely, isovaleric (P = 0.0038) and isobutyric acid (P = 0.0027) were decreased following dietary challenge. Interestingly, concentrations of propionic acid increased throughout the study for all dogs (P = 0.0038). Analysis of the microbial composition revealed beneficial impacts of rotational ingredient supplementation including an increase in Faecalibacterium (P = 0.01) and Streptococcus (P = 0.04) as well as a reduction in E. coli (P = 0.023). Inclusion of dietary challenge increased levels of Turicibacter (P = 0.01), Streptococcus (P = 0.003), Blautia (P = 0.002), and C. hiranonis (P = 0.01). The recovery meal resulted in increased concentrations of Fusobacterium (P < 0.001) and Faecalibacterium (P < 0.0001). These findings suggest that while rotational ingredient supplementation did not significantly affect SCFA concentrations, there were significant benefits within the microbial profile including an increase in beneficial bacteria such as Faecalibacterium, along with reduced numbers of pathogens such as E. coli. Interestingly, the dietary challenge prompted changes including increased concentrations of butyric acid and propionic acid which may indicate a potential anti-inflammatory response of the gastrointestinal tract following abrupt dietary transitions. These findings provide further evidence to support dietary diversity as a method for improving gastrointestinal health and diversity. Future research is needed to determine guidelines and practices for rotational diets and other ingredients that may be used for improving gut health.
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) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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 ».