1 Department of Biotechnology, University of Verona, Strada le Grazie 15, 37134 Verona, Italy.
2 Unit of Pediatric Diabetes and Metabolic Diseases, Regional Center for Pediatric Diabetes, Department of Surgical Sciences, Dentistry, Gynecology and Pediatrics, University of Verona, P.le Stefani, 1, 37126 Verona, Italy.
Benef Microbes. 2019 Apr 19;10(3):301-313. doi: 10.3920/BM2018.0088. Epub 2019 Mar 4.
Diet-related modulation of gut microbiota and its metabolic activity represents an intriguing research context, particularly in the case of disorders related to imbalances in gut microbial communities. We here explored the effects of GBI-30, 6086 (BC30), β-glucans, and innovative whole-grain pastas, with or without these functional ingredients, on gut microbiota from three groups of children, presenting different susceptibility to type 1 diabetes, by using the well-controlled TNO model of the proximal colon (TIM-2). Short- and branched-chain fatty acids production and microbiota composition were assessed by means of gas chromatography and 16S rRNA gene profiling, respectively. In most cases, dietary interventions caused microbiota-dependent modulations as a result of intergroup variability, but also specific changes in microbial groups were shared between the three microbiotas, highlighting specific diet-microbial connections.
饮食相关的肠道微生物群及其代谢活性的调节是一个有趣的研究领域，特别是在与肠道微生物群落失衡相关的疾病方面。在这里，我们通过使用经过良好控制的近端结肠 TNO 模型（TIM-2），研究了 GBI-30、6086（BC30）、β-葡聚糖和具有或不具有这些功能性成分的创新全谷物面食对来自三组儿童的肠道微生物群的影响，这三组儿童对 1 型糖尿病的易感性不同。通过气相色谱法和 16S rRNA 基因谱分别评估了短链和支链脂肪酸的产生和微生物群落组成。在大多数情况下，饮食干预会导致菌群依赖性的调节，这是由于组间变异性所致，但三种微生物群之间也存在特定微生物群的变化，突出了特定的饮食-微生物联系。
