Cardiorespiratory Fitness as a Predictor of Intestinal Microbial Diversity and Distinct Metagenomic Functions
Notice bibliographique
Résumé
Background/Objective An imbalance between harmful and beneficial bacteria in the gut, termed dysbiosis, has been associated with a variety of illnesses. In specific, reduced community diversity has been implicated in various conditions such as inflammatory bowel disease, colorectal cancer, and irritable bowel syndrome amongst others. The role of physical fitness in the context of gut microbial community in humans is currently not known. A recent study of elite athletes suggested a positive association between fitness and microbial diversity in humans, however due to extreme dietary differences amongst the groups, disentangling the respective influences of fitness versus diet was not possible. Hence, we analyzed the gut microbiota of healthy subjects with varying cardiorespiratory fitness (CRF) levels with similar diets in order to isolate the relationship between fitness and microbial composition. Methods 22 males and 19 healthy females of similar age, BMI, and diets participated in this study. The subjects’ aerobic capacities were determined using a standard peak oxygen uptake (VO2peak) test, considered the gold standard of CRF. High‐throughput sequencing of the 16S rRNA of fecal microbiota were carried using the Illumina platform. Fecal short‐chain fatty acids (SCFA) were analysed using gas chromatography. Results The primary findings from this study showed that VO2peak was positively correlated with gut species richness (P=0.01, B‐coefficient=5.35) and can predict over 20% of the observed variability, while keeping all other factors constant, including diet. Further, protein intake but not VO2peak was significantly associated with changes in beta‐diversity, correlating strongly with Bacteroides genus. VO2peak was a significant factor in explaining variability of the microbiomes predicted metagenomic functions, aligning positively with genes related to bacterial chemotaxis and motility, and negatively with lipopolysaccharide biosynthesis. Of all SCFA analysed, VO2peak was positively correlated with only butyrate, known for its role in promoting gut health. Conclusions Results from this study show that CRF is correlated with increased microbial diversity in healthy humans and that the associated changes are anchored around a set of functional cores rather than specific taxa. The microbial profiles of those with high CRF levels favor the production of the beneficial SCFA, butyrate. As increased microbiota diversity and butyrate production is associated with overall host health, our findings warrant further research in the use of exercise prescription as an adjuvant therapy in combating dysbiosis‐associated diseases. Support or Funding Information This project was funded by the Natural Sciences & Engineering Research Council (NSERC) of Canada
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 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| 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 | 0,000 |
| 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 ».