Gao Xue-Feng, Wu Bin-Bin, Pan Yong-Long, Zhou Shao-Ming, Zhang Ming, You Yue-Hua, Cai Yun-Peng, Liang Yan
Integrative Microecology Clinical Center, Shenzhen Key Laboratory of Gastrointestinal Microbiota and Disease, Shenzhen Clinical Research Center for Digestive Disease, Shenzhen Technology Research Center of Gut Microbiota Transplantation, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Central Laboratory, Shenzhen Key Laboratory of Precision Medicine for Hematological Malignancies, Shenzhen University General Hospital, Shenzhen, China.
Health Inf Sci Syst. 2023 Aug 17;11(1):37. doi: 10.1007/s13755-023-00236-9. eCollection 2023 Dec.
This study aimed to characterize the gut microbiota in obese adolescents from Shenzhen (China), and evaluate influence of gender on BMI-related differences in the gut microbiome.
Evaluation of physical examination, blood pressure measurement, serological assay and body composition were conducted in 205 adolescent subjects at Shenzhen. Fecal microbiome composition was profiled via high-throughput sequencing of the V3-V4 regions of the 16S rRNA gene. A Random Forest (RF) classifier model was built to distinguish the BMI categories based on the gut bacterial composition.
Fifty-six taxa consisting mainly of Firmicutes were identified that having significant associations with BMI; 2 OTUs belonging to Ruminococcaceae and 1 belonging to Lachnospiraceae had relatively strong positive correlations with body fate rate, waistline and most of serum biochemical properties. Based on the 56 BMI-associated OTUs, the RF model showed a robust classification accuracy (AUC 0.96) for predicting the obese phenotype. Gender-specific differences in the gut microbiome composition was obtained, and a lower relative abundance of genus was particularly found in obese boys. Functional analysis revealed a deficiency in bacterial gene contents related to peroxisome and PPAR signaling pathway in the obese subjects for both genders.
This study reveals unique features of gut microbiome in terms of microbial composition and metabolic functions in obese adolescents, and provides a baseline for reference and comparison studies.
The online version contains supplementary material available at 10.1007/s13755-023-00236-9.
本研究旨在对来自中国深圳的肥胖青少年的肠道微生物群进行特征分析,并评估性别对肠道微生物组中与体重指数(BMI)相关差异的影响。
对205名深圳青少年受试者进行体格检查、血压测量、血清学检测和身体成分评估。通过对16S rRNA基因V3-V4区域的高通量测序分析粪便微生物组组成。基于肠道细菌组成构建随机森林(RF)分类器模型以区分BMI类别。
鉴定出56个主要由厚壁菌门组成的分类单元,它们与BMI有显著关联;2个属于瘤胃球菌科的操作分类单元(OTU)和1个属于毛螺菌科的OTU与体脂率、腰围及大多数血清生化指标有较强的正相关。基于这56个与BMI相关的OTU,RF模型在预测肥胖表型方面显示出强大的分类准确性(曲线下面积[AUC]为0.96)。获得了肠道微生物组组成的性别特异性差异,尤其在肥胖男孩中发现某属的相对丰度较低。功能分析显示,肥胖受试者中与过氧化物酶体和过氧化物酶体增殖物激活受体(PPAR)信号通路相关的细菌基因含量存在缺陷,且男女均如此。
本研究揭示了肥胖青少年肠道微生物组在微生物组成和代谢功能方面的独特特征,并为参考和比较研究提供了基线。
在线版本包含可在网址10.1007/s13755-02***-00236-9获取的补充材料。