Risultati per: Microbiota e steatosi epatica: quali evidenze?
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Mo1914 COMPREHENSIVE MICROBIOME PROFILING REVEALS GUT MICROBIOTA HETEROGENEITY IN CRC PATIENTS WITH DIFFERENT TUMOR LOCATIONS
Mo1908 INCREASING SIMILARITY OF MICROBIOTA COMPOSITIONS BETWEEN ORAL AND GASTRIC SAMPLES DURING GASTRIC CARCINOGENESIS
Mo1794 CROHN'S DISEASE-ASSOCIATED PATHOGENIC MUTATION IN MANGANESE TRANSPORTER ZIP8 SHIFTS THE ILEAL AND RECTAL MUCOSAL MICROBIOTA IMPLICATING ABERRANT BILE ACID METABOLISM
Mo1800 CMTM4 ALLEVIATES COLITIS VIA THE IL-17RC-S100A8/9-GUT MICROBIOTA AXIS
Tu1775 UNVEILING METABOLITE-MICROBIOTA CROSSTALK IN A MURINE MODEL OF CHECKPOINT INHIBITOR-INDUCED COLITIS
Tu1919 IMPROVEMENT OF INSULIN RESISTANCE FOLLOWING FECAL MICROBIOTA TRANSPLANTATION: SYSTEMATIC REVIEW AND META-ANALYSIS OF RANDOMIZED CONTROLLED TRIALS
Tu1920 FECAL MICROBIOTA TRANSPLANT ENEMA AS A PROMISING TREATMENT IN METABOLIC SYNDROME: A RANDOMIZED DOUBLE-BLIND PLACEBO-CONTROLLED TRIAL
EP117 THE EFFECT OF LACTOBACILLUS RHAMNOSUS GG ON THE GLP-1/GLP-1R AXIS AND GUT MICROBIOTA IN OBESE MICE
943 THE MICROBIOTA AT THE TIME OF SURGERY IS SIGNIFICANTLY ENRICHED WITH PRO-TUMORIGENIC BACTERIA IN PATIENTS WHO DEVELOP A POSTOPERATIVE RECURRENCE
Fecal microbiota transplantation for recurrent C. difficile infection can be the best therapeutic option in severely immunocompromised patients depending on a case-by-case assessment of the benefit/risk ratio
Mixed-donor faecal microbiota transplantation was associated with increased butyrate-producing bacteria for obesity
We read with interest the recent article by Haifer et al (Gut, 2022, 2022–3 27 742), which reported that donor gut microbiome stability and species evenness were associated with higher donor species engraftment in patients with UC following faecal microbiota transplantation (FMT). This has brought us one step closer towards the selection of optimal FMT donors. However, the high prevalence of extended-spectrum beta-lactamase organisms and the COVID-19 pandemic have restricted the recruitment of FMT donors.1 An alternative means to increase the stability and species evenness is to pool the stool samples from multiple eligible FMT donors, which has been shown to be associated with higher clinical efficacy in UC.2 In obesity-related metabolic disorders, outcomes following FMT have been variable.3–8 Although the underlying mechanisms are unclear, the efficacy of FMT is likely to be affected by…
Using Fecal Microbiota–Based Therapies
These treatments are recommended “conditionally” for certain groups of patients with Clostridioides difficile colitis.
Gut microbiota predicts severity and reveals novel metabolic signatures in acute pancreatitis
Objective
Early disease prediction is challenging in acute pancreatitis (AP). Here, we prospectively investigate whether the microbiome predicts severity of AP (Pancreatitis—Microbiome As Predictor of Severity; P-MAPS) early at hospital admission.
Design
Buccal and rectal microbial swabs were collected from 424 patients with AP within 72 hours of hospital admission in 15 European centres. All samples were sequenced by full-length 16S rRNA and metagenomic sequencing using Oxford Nanopore Technologies. Primary endpoint was the association of the orointestinal microbiome with the revised Atlanta classification (RAC). Secondary endpoints were mortality, length of hospital stay and severity (organ failure >48 hours and/or occurrence of pancreatic collections requiring intervention) as post hoc analysis. Multivariate analysis was conducted from normalised microbial and corresponding clinical data to build classifiers for predicting severity. For functional profiling, gene set enrichment analysis (GSEA) was performed and normalised enrichment scores calculated.
Results
After data processing, 411 buccal and 391 rectal samples were analysed. The intestinal microbiome significantly differed for the RAC (Bray-Curtis, p value=0.009), mortality (Bray-Curtis, p value 0.006), length of hospital stay (Bray-Curtis, p=0.009) and severity (Bray-Curtis, p value=0.008). A classifier for severity with 16 different species and systemic inflammatory response syndrome achieved an area under the receiving operating characteristic (AUROC) of 85%, a positive predictive value of 67% and a negative predictive value of 94% outperforming established severity scores. GSEA revealed functional pathway units suggesting elevated short-chain fatty acid (SCFA) production in severe AP.
Conclusions
The orointestinal microbiome predicts clinical hallmark features of AP, and SCFAs may be used for future diagnostic and therapeutic concepts.
Trial registration number
NCT04777812.
Spotlight: Use of Fecal Microbiota-Based Therapies in Adults With Select GI Disorders
Consideration for Use of Fecal Microbiota-Based Therapies in Adults With GI Disorders
AGA Guideline, Gastro: https://www.gastrojournal.org/article/S0016-5085(24)00041-6/fulltext.