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 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.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.

Xue-Feng Gao

Bin-Bin Wu

Yong-Long Pan

Shao-Ming Zhou

Ming Zhang

Yue-Hua You

Yun-Peng Cai

Yan Liang

Health Information Science and Systems

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.

Health Information Science and Systems is a multidisciplinary journal that integrates artificial intelligence, computer science, and information technology with health science and services. The journal embraces research in information science along 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, as well as medical expert systems. The scope includes:  i.) smart health, artificial intelligence in medicine, computer-aided diagnosis, medical image processing, and medical expert systems;  ii.) medical big data and health/biomedical information resources such as patient medical records, devices, and tools, as well as software for capturing, storing, retrieving, processing, analyzing, and optimizing 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, public health management, standards examination, and privacy and security issues;  iv.) the development of new architectures and applications for health information systems.

《Health Information Science and Systems》是一本多学科期刊，结合了人工智能、计算机科学和信息技术与健康科学和服务。期刊内容涵盖信息科学研究以及与健康信息系统的建模、设计、开发、集成和管理相关的主题，包括智能健康、医学中的人工智能、计算机辅助诊断和医学专家系统。期刊的范围包括：  i.) 智能健康、医学中的人工智能、计算机辅助诊断、医学图像处理、医学专家系统；  ii.) 医疗大数据、医疗/健康/生物医学信息资源，如患者病历、设备和工具，软件和工具用于捕获、存储、检索、处理、分析和优化健康领域信息的使用；  iii.) 数据管理、数据挖掘和知识发现，这些在决策、公共卫生管理、标准审查、隐私和安全问题中起着关键作用；  iv.) 健康信息系统的新架构和应用的开发。

Category	Quartile
医学	3
医学, 医学信息	3

Gut microbiome biomarkers in adolescent obesity: a regional study

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Journal Info

Category	Quartile
MEDICAL INFORMATICS	1