Gut microbiome activity contributes to individual variation in glycemic response in adults
Gut microbiome activity contributes to individual variation in glycemic response in adults
复制标题
肠道微生物组活动导致成人血糖反应的个体差异
DOI：
10.1101/641019
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
G. Banavar
中科院分区：
文献类型：
--
作者：
Hal Tily;Ally Perlina;Eric Patridge;Stephanie E. Gline;M. Genkin;V. Gopu;Haely Lindau;Alisson Sjue;I. Slavov;Niels Klitgord;M. Vuyisich;H. Messier;G. Banavar
限制餐后血糖反应是降低慢性代谢疾病风险的重要因素，并有助于血糖水平升高的人的显著健康益处。在这项研究中，我们收集了肠道微生物组活性（即，Metatranscriptomic）数据，并测量了550名成年人的血糖反应，这些成年人食用了超过30，000顿杂食或素食/无麸质饮食。我们证明，除了人体测量因素和食物的营养成分外，肠道微生物组活动对血糖反应的个体差异有统计学意义。我们描述了预测模型（多层次混合效应回归和梯度增强机）的变化，在个体之间的血糖反应ingertious相同的食物。我们介绍了从微生物活性数据汇总的功能特征，作为与血糖控制机制相关的候选人。总之，我们首次证明肠道微生物组的元转录组活性与成人的血糖反应相关。
Limiting post-meal glycemic response is an important factor in reducing the risk of chronic metabolic diseases, and contributes to significant health benefits in people with elevated levels of blood sugar. In this study, we collected gut microbiome activity (i.e., metatranscriptomic) data and measured the glycemic responses of 550 adults who consumed more than 30,000 meals from omnivore or vegetarian/gluten-free diets. We demonstrate that gut microbiome activity makes a statistically significant contribution to individual variation in glycemic response, in addition to anthropometric factors and the nutritional composition of foods. We describe predictive models (multilevel mixed-effects regression and gradient boosting machine) of variation in glycemic response among individuals ingesting the same foods. We introduce functional features aggregated from microbial activity data as candidates for association with mechanisms of glycemic control. In summary, we demonstrate for the first time that metatranscriptomic activity of the gut microbiome is correlated with glycemic response among adults.
DOI：
10.2174/1875044301205010047
发表时间：
2012-01
期刊：
Journal of epithelial biology & pharmacology
影响因子：
--
作者：
Rao R;Samak G
通讯作者：
Samak G
影响因子：
20.3
作者：
E. Cauter;And KENNETH S. POLONSKY;A. Scheen
通讯作者：
E. Cauter;And KENNETH S. POLONSKY;A. Scheen
影响因子：
13.8
作者：
Mendes-Soares, Helena;Raveh-Sadka, Tali;Nelson, Heidi
通讯作者：
Nelson, Heidi