Gut microbiome activity contributes to individual variation in glycemic response in adults

Author:

Tily Hal,Perlina Ally,Patridge Eric,Gline Stephanie,Genkin Matvey,Gopu Vishakh,Lindau Haely,Sjue Alisson,Slavov Iordan,Klitgord Niels,Vuyisich Momchilo,Messier Helen,Banavar Guruduth

Abstract

AbstractLimiting 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.

Publisher

Cold Spring Harbor Laboratory

Reference41 articles.

1. https://www.accessdata.fda.gov/cdrh_docs/pdf15/p150021c.p df

2. Use of Metatranscriptomics in Microbiome Research

3. Bates, Douglas , Martin Maechler , Ben Bolker , Steven Walker , Rune Haubo Bojesen Christensen, Henrik Singmann, Bin Dai, Gabor Grothendieck, C+ Eigen, and L. Rcpp. “Package ‘lme4’.” Convergence 12, no. 1 (2015).

4. Indra Bervoets, Daniel Charlier, Diversity, versatility and complexity of bacterial gene regulation mechanisms: opportunities and drawbacks for applications in synthetic biology, FEMS Microbiology Reviews, Feb 2019, https://doi.org/10.1093/femsre/fuz001

5. https://www.cdc.gov/media/releases/2017/p0718-diabetes-report.html

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3