Use of dietary indices to control for diet in human gut microbiota studies.
Use of dietary indices to control for diet in human gut microbiota studies.
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DOI：
10.1186/s40168-018-0455-y
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发表时间：
2018-04-25
期刊：
影响因子：
15.5
通讯作者：
Steves CJ
中科院分区：
文献类型：
--
作者：
Bowyer RCE;Jackson MA;Pallister T;Skinner J;Spector TD;Welch AA;Steves CJ
环境因素对人体肠道菌群的组成有很大的影响。其中最具影响力和研究最充分的是宿主饮食。为了评估和解释非饮食因素对肠道微生物群的影响，我们努力确定最合适的方法来总结可归因于饮食影响的群落变化。饮食习惯是多维的，具有内在的相关性。这种复杂性可以通过使用饮食指数来简化，这些指数可以在单一测量中量化饮食差异，并提供一种在微生物群研究中控制饮食的方法。然而，迄今为止，尚未评估不同饮食指标对肠道微生物群研究的适用性。在这里，我们使用来自TwinsUK队列成员的食物频率问卷（FFQ）数据来创建适用于西方饮食人群的三种不同的饮食指标：健康饮食指数（HEI），地中海饮食评分（MDS）和健康食物多样性指数（HFD-Index）。我们验证并比较了这三个指标，以确定哪一个最能概括饮食对肠道微生物群组成的影响。所有三个指标都使用既定的健康指标独立验证，并且都与微生物群指标显着相关；在α多样性测量模型中，HEI的t值最高，与微生物类群的关联数最多。Beta多样性分析表明，HEI解释了微生物群组成的最大差异。在饮食指数得分不一致的双胞胎之间的配对试验中，HEI与类群差异和双胞胎差异相关。我们发现HEI解释了西方（英国）人群中肠道微生物群组成的最大差异，并且与肠道微生物群组成的关联最强，这表明它可能是捕获可归因于可比人群中习惯性饮食的肠道微生物群差异的最佳汇总措施。本文的在线版本（10.1186/s40168-018-0455-y）包含补充材料，授权用户可以使用。
Environmental factors have a large influence on the composition of the human gut microbiota. One of the most influential and well-studied is host diet. To assess and interpret the impact of non-dietary factors on the gut microbiota, we endeavoured to determine the most appropriate method to summarise community variation attributable to dietary effects. Dietary habits are multidimensional with internal correlations. This complexity can be simplified by using dietary indices that quantify dietary variance in a single measure and offer a means of controlling for diet in microbiota studies. However, to date, the applicability of different dietary indices to gut microbiota studies has not been assessed. Here, we use food frequency questionnaire (FFQ) data from members of the TwinsUK cohort to create three different dietary measures applicable in western-diet populations: The Healthy Eating Index (HEI), the Mediterranean Diet Score (MDS) and the Healthy Food Diversity index (HFD-Index). We validate and compare these three indices to determine which best summarises dietary influences on gut microbiota composition. All three indices were independently validated using established measures of health, and all were significantly associated with microbiota measures; the HEI had the highest t values in models of alpha diversity measures, and had the highest number of associations with microbial taxa. Beta diversity analyses showed the HEI explained the greatest variance of microbiota composition. In paired tests between twins discordant for dietary index score, the HEI was associated with the greatest variation of taxa and twin dissimilarity. We find that the HEI explains the most variance in, and has the strongest association with, gut microbiota composition in a western (UK) population, suggesting that it may be the best summary measure to capture gut microbiota variance attributable to habitual diet in comparable populations. The online version of this article (10.1186/s40168-018-0455-y) contains supplementary material, which is available to authorized users.
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影响因子：
5.6
作者：
Hébert, JR;Peterson, KE;Sorensen, G
通讯作者：
Sorensen, G
DOI：
10.1038/ismej.2014.45
发表时间：
2014-10
期刊：
The ISME journal
影响因子：
--
作者：
通讯作者：
--
影响因子：
4.7
作者：
Hatloy, A;Torheim, LE;Oshaug, A
通讯作者：
Oshaug, A
影响因子：
30.3
作者：
Gevers D;Kugathasan S;Denson LA;Vázquez-Baeza Y;Van Treuren W;Ren B;Schwager E;Knights D;Song SJ;Yassour M;Morgan XC;Kostic AD;Luo C;González A;McDonald D;Haberman Y;Walters T;Baker S;Rosh J;Stephens M;Heyman M;Markowitz J;Baldassano R;Griffiths A;Sylvester F;Mack D;Kim S;Crandall W;Hyams J;Huttenhower C;Knight R;Xavier RJ
通讯作者：
Xavier RJ
影响因子：
4.2
作者：
McNaughton, Sarah A.;Ball, Kylie;Mishra, Gita D.
通讯作者：
Mishra, Gita D.