296 Saccharomyces cerevisiae derived postbiotic modulates inflammatory response and gut microbiota in large breed dogs exposed to endurance exercise and transport stress
Notice bibliographique
Résumé
Abstract Postbiotic supplements have been used in various livestock species to mitigate the negative effects of stress. This study aimed to determine if similar responses are seen in canine companion animals. We evaluated the effects of a Saccharomyces cerevisiae (S. cerevisiae) postbiotic supplement on inflammatory biomarkers, cortisol, and microbiota dysbiosis index in Labrador Retrievers exposed to exercise and transport stress. Dogs [n = 36; 3.52 ± 0.21 yr old and body weight (BW) = 27.6 ± 2.97 kg] were blocked by sex, age, and BW and assigned to receive 1 of 3 daily top-dressed treatments: 1) 15 g ground corn germ (Control, n = 12); 2) 7.5 g S. cerevisiae yeast postbiotic (Low, n = 12); or 3) 15 g of S. cerevisiae yeast postbiotic (High, n = 12). Dogs were given 1 wk to acclimate to treatments before beginning a 7-wk exercise regimen consisting of twice weekly 4.8 km guided runs. Dogs were exposed to a transportation stressor in wk 8. Fecal samples from d 0 and 56 were analyzed for calprotectin, calgranulin C (S100A12), α1-protease inhibitor, immunoglobulin A, and microbiota dysbiosis index. Blood was collected on d 0 and 63 for serum chemistries and complete blood counts. Blood collection was also performed prior to and 18 to 20 h after first and final runs of the exercise regimen for analysis of inflammatory cytokines. The Four Rivers Kennel (FRK) Gait Inflammation Index score was assessed prior to and 24 hours after the first and last exercise runs with the Gait4Dogs pressure mat system. Saliva cortisol was measured before and after transportation. Blood chemistry did not differ among treatments (P ≥ 0.19), but Control dogs had increased eosinophils (P = 0.01) and tended to have increased white blood cells (P = 0.08) and lymphocytes (P = 0.08) compared with dogs receiving postbiotic. Dogs fed Low dose had elevated monocyte chemoattractant protein-1 (P = 0.01) and maintained Interleukin (IL) -8 after the initial run (P = 0.03). Males in the Low group had increased IL-10 (P = 0.02). Fecal biomarkers and microbiota dysbiosis index score did not differ among treatments by d 56 (P ≥ 0.19). Blautia abundance was decreased in High (P = 0.04). Fusobacterium abundance tended to be reduced in High and increased in Control and Low (P = 0.07). Clostridium hiranonis tended to be greater in Low compared with Control (P = 0.07). The FRK Total Gait Inflammation Index scores decreased over time with acclimation to running (P < 0.01). Saliva cortisol concentrations did not differ among treatments (P ≥ 0.20). The Saccharomyces cerevisiae-based postbiotic tested in this study has potential as a functional ingredient to modulate immune function, improve muscle recovery shortly after exercise and positively change diversity of the gut microbiome in canine companion animal diets.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».