Wang Ziteng, Tan Wentao, Wu Lan, Zhang Pengfei, Xiong Huanhuan, Zhu Licun, Huang Jiali, Cui Jianfang, Li Li, Guo Chunmei, He Lingling, Wei Hongshan, Liu Hong
Gastroenterology Department, Beijing Shijitan Hospital Capital Medical University Beijing China.
Gastroenterology Department, Beijing Ditan Hospital Capital Medical University Beijing China.
Food Sci Nutr. 2025 Jun 20;13(6):e70367. doi: 10.1002/fsn3.70367. eCollection 2025 Jun.
The purpose of this study was to investigate the clinical characteristics of small intestinal bacterial overgrowth (SIBO) and analyze its relationship with changes in intestinal microbiota and metabolites. The study included patients from Beijing Shijitan Hospital (Feb 2021-Nov 2023) who underwent hydrogen-methane breath tests, hematological tests, and completed questionnaires. Baseline characteristics of SIBO patients were analyzed using descriptive statistics and independent t-tests. Logistic regression and Receiver Operating Characteristic (ROC) curve analysis identified potential SIBO predictors. Chi-square tests assessed the association between SIBO and symptoms. Stool samples from 29 patients underwent 16S rRNA sequencing to analyze gut microbiota and metabolites. Then we explored links between microbiota, metabolites, symptoms, and serum markers. 405 persons in all completed the hydrogen methane breath test, of whom 109 (26.91%) were in the SIBO- and 296 (73.09%) were in the SIBO+. No significant differences were observed between the SIBO+ and SIBO- groups in terms of gender, age, or BMI. However, lymphocyte counts were significantly different between the groups, with lymphocyte count proving to be a better predictor of SIBO in middle-aged and elderly non-obese men. SIBO was significantly associated with diarrhea and acid reflux symptoms. 16S rRNA sequencing of stool samples from 29 patients revealed that was the predominant intestinal microbiota in SIBO patients. Metabolic pathways involving various metabolites were identified as significantly altered in these patients. Additionally, there were significant correlations between various intestinal flora and metabolites with serum markers.
本研究旨在调查小肠细菌过度生长(SIBO)的临床特征,并分析其与肠道微生物群和代谢产物变化的关系。该研究纳入了北京世纪坛医院(2021年2月至2023年11月)接受氢-甲烷呼气试验、血液学检查并完成问卷的患者。使用描述性统计和独立t检验分析SIBO患者的基线特征。逻辑回归和受试者工作特征(ROC)曲线分析确定了潜在的SIBO预测因素。卡方检验评估SIBO与症状之间的关联。对29例患者的粪便样本进行16S rRNA测序,以分析肠道微生物群和代谢产物。然后我们探索了微生物群、代谢产物、症状和血清标志物之间的联系。共有405人完成了氢甲烷呼气试验,其中109人(26.91%)为SIBO阴性,296人(73.09%)为SIBO阳性。SIBO阳性组和SIBO阴性组在性别、年龄或BMI方面未观察到显著差异。然而,两组之间的淋巴细胞计数存在显著差异,淋巴细胞计数被证明是中年和老年非肥胖男性SIBO的更好预测指标。SIBO与腹泻和胃酸反流症状显著相关。对29例患者粪便样本的16S rRNA测序显示,[此处原文缺失具体内容]是SIBO患者的主要肠道微生物群。在这些患者中,涉及各种代谢产物的代谢途径被确定为显著改变。此外,各种肠道菌群和代谢产物与血清标志物之间存在显著相关性。