Dietary beta-fructans reduce inflammation in patients with mild to moderate Ulcerative Colitis
Notice bibliographique
Résumé
A relative lack of protective versus disease-inducing intestinal bacteria in genetically susceptible individuals is important for pathogenesis of ulcerative colitis (UC). Non-digestible, fermentable carbohydrates (prebiotics) are able to stimulate the growth and activity of specific protective microbiota. Our previous work showed that a mixture of prebiotic inulin and fructo-oligosaccharides (FOS) reduce chronic colitis in HLA-B27 transgenic rats, a validated colitis model. THE AIM of the present study is to assess if this prebiotic combination can reduce inflammation in patients with mild to moderate UC and to analyze microflora changes induced by these prebiotics. Patients with mild to moderate active UC, on stable doses of oral 5-ASA or no medication, were randomized to 7.5g or 15g daily oral inulin plus FOS (1:1) for 9 weeks. At the start and at wk 9 patients were assessed for disease activity (UCDAI) and endoscopic activity. Stool and biopsies were collected for fecal calprotectin, microbiota and gene expression analyses. Multiplex pyrosequencing of 16S rRNA tags based on Titanium platform was employed to identify the bacterial community at different taxonomic units. Statistical analysis using the Mann-Whitney test was performed in order to identify differences in the fecal and biopsy microbiota composition. Spermann test was used to reveal possible correlations between bacterial groups and inflammation. A total of 570,000 sequences were employed for statistical analysis. Colonic monocarboxylate transporter 1 (MCT1)-mRNA expression was also quantified. 24 patients completed the trial and 2 patients withdrew. Fifty percent of the patients who completed the treatment showed clinical response (12/24), of which 10 patients (42%) entered remission. The prebiotic showed a dose-dependent effect; patients on 15g dose had an average decrease in UCDAI of 2.5 versus 1.2 in the 7.5g dose. The clinical response was associated with an increase of bacterial biodiversity, as assessed by Shannon's and Simpson's diversity indices. The prebiotic treatment altered the ratio between Bacteroides and Firmicutes with a relative increase of Firmicutes. The high dose inulin plus FOS stimulated Incertae Sedis XIV and Lachnospiraceae (butyrate-producers), and Bifidobacteriaceae. Veillonellaceae, Erysipelotrichaceae and Coriobacteriaceae were also significantly elevated, but their function remains to be identified. Colitis reduction was associated with higher numbers of mucosal Faecalibacterium, Roseburia, Dialister and Lactobacillus. In contrast, specific mucosa-associated bacteria, including Leuconostoc, Enterococcus, Flavobacterium and genera from beta- and gamma-Proteobacteria were positively correlated with inflammation. The clinical response was associated with improved butyrate metabolism in the colon demonstrated by increase butyrate levels, increased bacterial butyryl-CoA-transferase gene copy numbers and upregulation of MCT1 gene expression. This suggests that improved butyrate metabolism mediates colitis reduction. Modulation of the gut microbiota by a mixture of inulin and FOS can improve chronic inflammation and alter the composition and metabolic function of colonic bacteria in UC patients. This small open prospective study indicates that these prebiotics show promise as adjunctive therapy to induce a clinical response in UC.
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) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,001 | 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 ».