Human microbiome variation associated with race and ethnicity emerges as early as 3 months of age.
Human microbiome variation associated with race and ethnicity emerges as early as 3 months of age.
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DOI：
10.1371/journal.pbio.3002230
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发表时间：
2023-08
期刊：
影响因子：
9.8
通讯作者：
中科院分区：
文献类型：
--
作者：
人类微生物组变异与许多疾病的发病率、患病率和死亡率有关，并与美国的种族和民族有关。然而，这些群体之间出现微生物组变异的年龄仍然是知识的核心差距。在这里，我们确定了与种族和民族相关的肠道微生物组变异在3个月大后出现，并持续到童年。三分之一的细菌分类群在儿童中的不同种族之间存在差异，据报道，这些分类群在成人之间也存在差异。来自8项队列研究（来自729名儿童的2，756个样本）的儿童微生物组的机器学习建模以87%的准确率区分种族和民族类别。重要的是，当儿童微生物组被用来预测成人自我认定的种族和民族时，预测性属也是前30个最重要的分类群之一。我们的研究结果强调了3个月或3个月后不久的一个关键发育窗口，当时社会和环境因素驱动了种族和种族相关的微生物组变异，并可能导致成人健康和健康差异。种族与新生儿的肠道微生物组变化无关，但在年龄较大的婴儿（>3个月）和儿童中很明显。
Human microbiome variation is linked to the incidence, prevalence, and mortality of many diseases and associates with race and ethnicity in the United States. However, the age at which microbiome variability emerges between these groups remains a central gap in knowledge. Here, we identify that gut microbiome variation associated with race and ethnicity arises after 3 months of age and persists through childhood. One-third of the bacterial taxa that vary across caregiver-identified racial categories in children are taxa reported to also vary between adults. Machine learning modeling of childhood microbiomes from 8 cohort studies (2,756 samples from 729 children) distinguishes racial and ethnic categories with 87% accuracy. Importantly, predictive genera are also among the top 30 most important taxa when childhood microbiomes are used to predict adult self-identified race and ethnicity. Our results highlight a critical developmental window at or shortly after 3 months of age when social and environmental factors drive race and ethnicity-associated microbiome variation and may contribute to adult health and health disparities. Race is not associated with gut microbiome variation in newborns, but is evident in older infants (>3 months of age) and children.
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影响因子：
7.3
作者：
Arrieta MC;Stiemsma LT;Amenyogbe N;Brown EM;Finlay B
通讯作者：
Finlay B
影响因子：
6.4
作者：
De Wolfe TJ;Arefin MR;Benezra A;Rebolleda Gómez M
通讯作者：
Rebolleda Gómez M
影响因子：
17.1
作者：
Arrieta, Marie-Claire;Stiemsma, Leah T.;Finlay, B. Brett
通讯作者：
Finlay, B. Brett
DOI：
10.1016/j.ssmph.2016.06.007
发表时间：
2016-12
期刊：
SSM - population health
影响因子：
--
作者：
Cobb RJ;Thomas CS;Laster Pirtle WN;Darity WA Jr
通讯作者：
Darity WA Jr
影响因子：
9.8
作者：
Brooks AW;Priya S;Blekhman R;Bordenstein SR
通讯作者：
Bordenstein SR