Obesity Alters the Microbial Community Profile in Korean Adolescents.
Obesity Alters the Microbial Community Profile in Korean Adolescents.
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DOI：
10.1371/journal.pone.0134333
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发表时间：
2015
期刊：
影响因子：
3.7
通讯作者：
Cho SH
中科院分区：
文献类型：
--
作者：
Hu HJ;Park SG;Jang HB;Choi MK;Park KH;Kang JH;Park SI;Lee HJ;Cho SH
肥胖是全球日益增长的公共卫生问题。根据经济合作与发展组织（OECD）最新报告（2014年），韩国儿童肥胖发生率已超过OECD平均水平。为了更好地了解和控制这种情况，本研究检查了正常和肥胖青少年肠道微生物群落的组成。从67名肥胖（体重指数[BMI] ≥ 30 kg/m2，或≥ 99 th BMI百分位数）和67名正常（BMI < 25 kg/m2或<85 th BMI百分位数）的13-16岁的韩国青少年收集粪便样本，并进行16 S rRNA基因测序。根据分类等级分析细菌组成（属、科、门）的研究表明，在正常和肥胖样本中，拟杆菌属和普雷沃菌属的种群存在显著差异在属和科的水平上（p < 0.005）;但是，在此情况下，在门水平上，正常和肥胖青少年样本之间的厚壁菌与拟杆菌（F/B）比率没有差异（F/B正常= 0.50 ± 0.53; F/B肥胖= 0.56 ± 0.86; p = 0.384）。统计分析显示，几种细菌分类群的组成与儿童肥胖之间存在显着关联。其中，拟杆菌属和普雷沃菌属与BMI的相关性最显著（分别为p < 0.0001和0.0001）。我们还发现拟杆菌属的组成与甘油三酯（TG）、总胆固醇和高敏C反应蛋白（hs-CRP）水平呈负相关（分别为p = 0.0049、0.0023和0.0038），而普雷沃菌属的组成与TG和hs-CRP水平呈正相关（分别为p = 0.0394和0.0150）。然后，我们应用关联规则挖掘算法生成“规则”来识别多种细菌分类群与肥胖之间的关联;这些规则能够区分肥胖与正常状态。因此，本研究描述了一种系统的方法来确定肠道细菌种群与儿童肥胖之间的关联。
Obesity is an increasing public health concern worldwide. According to the latest Organization for Economic Co-operation and Development (OECD) report (2014), the incidence of child obesity in Korea has exceeded the OECD average. To better understand and control this condition, the present study examined the composition of the gut microbial community in normal and obese adolescents. Fecal samples were collected from 67 obese (body mass index [BMI] ≥ 30 kg/m2, or ≥ 99th BMI percentile) and 67 normal (BMI < 25 kg/m2 or < 85th BMI percentile) Korean adolescents aged 13–16 years and subjected to 16S rRNA gene sequencing. Analysis of bacterial composition according to taxonomic rank (genus, family, and phylum) revealed marked differences in the Bacteroides and Prevotella populations in normal and obese samples (p < 0.005) at the genus and family levels; however, there was no difference in the Firmicutes-to-Bacteroidetes (F/B) ratio between normal and obese adolescents samples at the phylum level (F/B normal = 0.50 ± 0.53; F/B obese = 0.56 ± 0.86; p = 0.384). Statistical analysis revealed a significant association between the compositions of several bacterial taxa and child obesity. Among these, Bacteroides and Prevotella showed the most significant association with BMI (p < 0.0001 and 0.0001, respectively). We also found that the composition of Bacteroides was negatively associated with triglycerides (TG), total cholesterol, and high-sensitive C-reactive protein (hs-crp) (p = 0.0049, 0.0023, and 0.0038, respectively) levels, whereas that of Prevotella was positively associated with TG and hs-crp levels (p = 0.0394 and 0.0150, respectively). We then applied the association rule mining algorithm to generate “rules” to identify the association between the populations of multiple bacterial taxa and obesity; these rules were able to discriminate obese from normal states. Therefore, the present study describes a systemic approach to identify the association between bacterial populations in the gut and childhood obesity.