Evaluation of the gastric microbiota based on body mass index using 16S rRNA gene sequencing.

IF 4.8 2区 医学 Q2 IMMUNOLOGY
Frontiers in Cellular and Infection Microbiology Pub Date : 2025-09-09 eCollection Date: 2025-01-01 DOI:10.3389/fcimb.2025.1651316
Sang Hoon Lee, Eun Bae Kim, Sung Chul Park, Seung-Joo Nam, Hyunseok Cho, Han Jo Jeon, Sang Pyo Lee
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引用次数: 0

Abstract

Introduction: Obesity is a multifactorial condition influenced by various factors, including the gut microbiota. However, the relationship between the gastric microbiota and obesity remains poorly understood. This study aimed to investigate the composition of gastric microbiota, excluding Helicobacter pylori, in relation to body mass index (BMI) and metabolic indicators.

Methods: Thirty participants undergoing health checkups were classified into three groups-normal weight (BMI 18.5-22.9), overweight (BMI 23.0-24.9), and obese (BMI ≥25.0)-with ten individuals per group. Those with H. pylori infection, atrophic gastritis, or intestinal metaplasia were excluded. Gastric microbiota from four antral biopsies per subject were analyzed using 16S rRNA sequencing and functional profiling by metagenomic prediction.

Results and discussion: Alpha diversity (Gini-Simpson index) was significantly lower in the combined overweight/obese group than that in the normal group (P=0.049). Beta diversity analysis revealed clear group separation (Bray-Curtis, P=0.005; unweighted UniFrac, P=0.004). Significant species differences between the groups were observed; specifically, the abundances of Muribaculum gordoncarteri, Turicibacter bilis, and Duncaniella dubosii, were significantly reduced in the overweight/obese group. Functional predictions showed differential enrichment of pathways related to fatty acid, amino acid, vitamin, and carbohydrate metabolism across BMI categories. These findings suggest that alterations in the gastric microbiota may be linked to obesity and metabolic dysregulation.

基于体重指数的胃微生物群的16S rRNA基因测序评价。
肥胖症是一种受多种因素影响的多因素疾病,包括肠道菌群。然而,胃微生物群与肥胖之间的关系仍然知之甚少。本研究旨在探讨除幽门螺杆菌外胃微生物群组成与体重指数(BMI)和代谢指标的关系。方法:30名接受健康检查的参与者分为正常体重组(BMI 18.5-22.9)、超重组(BMI 23.0-24.9)和肥胖组(BMI≥25.0),每组10人。排除幽门螺杆菌感染、萎缩性胃炎或肠化生的患者。通过16S rRNA测序和宏基因组预测的功能谱分析每位受试者四次胃窦活检的胃微生物群。结果与讨论:超重/肥胖联合组α多样性(Gini-Simpson指数)显著低于正常组(P=0.049)。Beta多样性分析显示明显的群体分离(Bray-Curtis, P=0.005; UniFrac, P=0.004)。组间物种差异显著;具体来说,在超重/肥胖组中,Muribaculum gordoncarteri、Turicibacter bilis和Duncaniella dubosii的丰度显著降低。功能预测显示,不同BMI类别的脂肪酸、氨基酸、维生素和碳水化合物代谢相关通路富集程度不同。这些发现表明,胃微生物群的改变可能与肥胖和代谢失调有关。
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来源期刊
CiteScore
7.90
自引率
7.00%
发文量
1817
审稿时长
14 weeks
期刊介绍: Frontiers in Cellular and Infection Microbiology is a leading specialty journal, publishing rigorously peer-reviewed research across all pathogenic microorganisms and their interaction with their hosts. Chief Editor Yousef Abu Kwaik, University of Louisville is supported by an outstanding Editorial Board of international experts. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, clinicians and the public worldwide. Frontiers in Cellular and Infection Microbiology includes research on bacteria, fungi, parasites, viruses, endosymbionts, prions and all microbial pathogens as well as the microbiota and its effect on health and disease in various hosts. The research approaches include molecular microbiology, cellular microbiology, gene regulation, proteomics, signal transduction, pathogenic evolution, genomics, structural biology, and virulence factors as well as model hosts. Areas of research to counteract infectious agents by the host include the host innate and adaptive immune responses as well as metabolic restrictions to various pathogenic microorganisms, vaccine design and development against various pathogenic microorganisms, and the mechanisms of antibiotic resistance and its countermeasures.
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