青少年肥胖的肠道微生物组生物标志物:一项区域研究。

IF 4.7 3区 医学 Q1 MEDICAL INFORMATICS
Health Information Science and Systems Pub Date : 2023-08-17 eCollection Date: 2023-12-01 DOI:10.1007/s13755-023-00236-9
Xue-Feng Gao, Bin-Bin Wu, Yong-Long Pan, Shao-Ming Zhou, Ming Zhang, Yue-Hua You, Yun-Peng Cai, Yan Liang
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引用次数: 0

摘要

目的:本研究旨在描述深圳(中国)肥胖青少年的肠道微生物群,并评估性别对肠道微生物群BMI相关差异的影响。方法:对深圳市205名青少年进行体格检查、血压测定、血清学检测和身体成分评价。通过16S rRNA基因的V3-V4区域的高通量测序来分析粪便微生物组组成。建立了随机森林(RF)分类器模型,根据肠道细菌组成区分BMI类别。结果:共鉴定出56个主要由厚壁菌门组成的类群,它们与BMI有显著相关性;Ruminococceae科2个OTU和Lachnospiraceae科1个OTU与体命运率、腰围和大部分血清生化特性呈正相关。基于56个BMI相关OTU,RF模型在预测肥胖表型方面显示出强大的分类准确性(AUC 0.96)。获得了肠道微生物组组成的性别特异性差异,在肥胖男孩中尤其发现气味杆菌属的相对丰度较低。功能分析显示,在两种性别的肥胖受试者中,与过氧化物酶体和PPAR信号通路相关的细菌基因含量不足。结论: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,为参考和比较研究提供了基线。补充信息:在线版本包含补充材料,可访问10.1007/s13755-023-00236-9。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Gut microbiome biomarkers in adolescent obesity: a regional study.

Purpose: 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.

Methods: 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.

Results: 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 Odoribacter 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.

Conclusions: 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.

Supplementary information: The online version contains supplementary material available at 10.1007/s13755-023-00236-9.

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来源期刊
CiteScore
11.30
自引率
5.00%
发文量
30
期刊介绍: Health Information Science and Systems is a multidisciplinary journal that integrates artificial intelligence/computer science/information technology with health science and services, embracing information science research coupled with topics related to the modeling, design, development, integration and management of health information systems, smart health, artificial intelligence in medicine, and computer aided diagnosis, medical expert systems. The scope includes: i.) smart health, artificial Intelligence in medicine, computer aided diagnosis, medical image processing, medical expert systems ii.) medical big data, medical/health/biomedicine information resources such as patient medical records, devices and equipments, software and tools to capture, store, retrieve, process, analyze, optimize the use of information in the health domain, iii.) data management, data mining, and knowledge discovery, all of which play a key role in decision making, management of public health, examination of standards, privacy and security issues, iv.) development of new architectures and applications for health information systems.
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