Suppr超能文献

肠道微生物群与学龄儿童体重:KOALA 出生队列研究。

Gut Microbiota and Body Weight in School-Aged Children: The KOALA Birth Cohort Study.

机构信息

Top Institute Food and Nutrition, Wageningen, the Netherlands.

Department of Epidemiology, CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, the Netherlands.

出版信息

Obesity (Silver Spring). 2018 Nov;26(11):1767-1776. doi: 10.1002/oby.22320. Epub 2018 Oct 8.

Abstract

OBJECTIVE

This study aimed to examine the intestinal microbiota composition of school-aged children in association with (over)weight.

METHODS

The fecal microbiota composition of 295 children was analyzed using the Human Intestinal Tract Chip. Anthropometric outcomes (overweight [BMI  ≥  85th percentile], age- and sex-standardized BMI and weight z scores) were measured at 6 to 7 years of age, and elastic net was used to select genus-like bacterial groups related to all anthropometric outcomes. Subsequently, multiple linear and logistic regression models were used to model associations between selected bacterial groups and anthropometric measures while controlling for confounders.

RESULTS

Prevotella melaninogenica, Prevotella oralis, Dialister, and uncultured Clostridiales II (UCII) accounted for 26.1% of the variation in microbiota composition. Several bacterial groups were inversely associated with the anthropometric outcomes: Sutterella wadsworthensis, Marvinbryantia formatexigens, Prevotella melanogenica, P oralis, Burkholderia, uncultured Clostridiales II, and Akkermansia, while Streptococcus bovis was positively associated with overweight. Microbial diversity and richness, and Bacteroidetes to Firmicutes ratio, were not significantly associated with any of the outcomes.

CONCLUSIONS

In the largest population-based study on childhood gut microbiota and body weight so far, both new and previously identified bacterial groups were found to be associated with overweight. Further research should elucidate their role in energy metabolism.

摘要

目的

本研究旨在探讨学龄儿童肠道微生物群落组成与(超重)的关系。

方法

采用人类肠道芯片分析 295 名儿童的粪便微生物群落组成。在 6 至 7 岁时测量体重指数(超重[BMI≥第 85 百分位]、年龄和性别标准化 BMI 以及体重 z 分数)等人体测量结果,并使用弹性网络选择与所有人体测量结果相关的类似属细菌群。随后,使用多元线性和逻辑回归模型,在控制混杂因素的情况下,对选定的细菌群与人体测量指标之间的关联进行建模。

结果

普雷沃氏菌属、口腔普雷沃氏菌、戴氏菌和未培养梭菌 II(UCII)占微生物群落组成变异的 26.1%。有几个细菌群与人体测量结果呈负相关:萨特氏菌、马文氏产甲酸菌、普雷沃氏菌属、口腔普雷沃氏菌、伯克霍尔德氏菌、未培养梭菌 II 和阿克曼氏菌,而牛链球菌与超重呈正相关。微生物多样性和丰富度以及拟杆菌门到厚壁菌门的比例与任何结果均无显著相关性。

结论

在迄今为止最大的基于人群的儿童肠道微生物群和体重研究中,发现了新的和以前确定的细菌群与超重有关。进一步的研究应该阐明它们在能量代谢中的作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80d/6646907/4426d7491ca7/OBY-26-1767-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验