Department of General Surgery, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Department of Endocrinology, The First Hospital of Kunming, 504 Qingnian Road, Kunming, 650118, China.
Obes Surg. 2024 Apr;34(4):1185-1195. doi: 10.1007/s11695-024-07087-7. Epub 2024 Feb 22.
Obesity is a risk factor for many chronic diseases. This study aimed to investigate the effect of bariatric surgery on the gut microbiota from patients with obesity.
The microbiota composition from stool samples before and after bariatric surgery were identified using bacterial 16S rRNA gene sequencing. Based on the speed of weight loss, patients were classified as the slow-loss group and fast-loss group. The ɑ- and β-diversity analysis was done to compare the species richness, evenness, and overall structure of the microbiota between different groups. Next, linear discriminant analysis effect size (LEfSe) and receiver operating characteristic (ROC) analysis were implemented to identify high-dimensional biomarkers and significantly different species of microbial taxa between different groups. Finally, the pathway analysis was inferred using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) to predict the functional profiling of microbial communities.
β-diversity analysis suggested that species diversity of preoperative samples of slow-loss group was significantly higher than the fast-loss group. High levels of Oscillospira and Abiotrophia in the preoperative gut microbiota may lead to poor postoperative weight loss. For patients with poor postoperative weight loss due to changes in gut microbiota, the gut microbiota is mainly composed of Lactobacillus. For patients with good postoperative results, the gut microbiota is mainly composed of Escherichia, Robinsonella, and Dialister. In addition, multiple metabolic-related pathways were significantly different between the four groups.
This comparative study revealed biomarker species based on microfloral composition in patients with obesity before and after bariatric surgery.
肥胖是许多慢性疾病的危险因素。本研究旨在探讨减重手术对肥胖患者肠道微生物群的影响。
采用细菌 16S rRNA 基因测序技术对减重手术前后粪便样本中的微生物群落组成进行鉴定。根据体重下降速度，将患者分为缓慢减重组和快速减重组。采用 α-多样性和 β-多样性分析比较不同组间微生物群落的物种丰富度、均匀度和整体结构。然后，采用线性判别分析效应量（LEfSe）和接收者操作特征（ROC）分析鉴定不同组间微生物类群的高维生物标志物和显著差异物种。最后，采用基于未观测状态重建的群落系统发育分析（PICRUSt）对途径进行推断，以预测微生物群落的功能特征。
β-多样性分析表明，缓慢减重组术前样本的物种多样性明显高于快速减重组。术前肠道微生物群中高水平的 Oscillospira 和 Abiotrophia 可能导致术后体重减轻不良。对于因肠道微生物群变化而导致术后体重减轻不良的患者，肠道微生物群主要由乳杆菌组成。对于术后效果良好的患者，肠道微生物群主要由大肠杆菌、鲁宾逊菌和戴阿利斯特菌组成。此外，四组间有多个代谢相关途径存在显著差异。
本研究通过比较肥胖患者减重手术前后的微生物菌群组成，揭示了基于微生物菌群特征的生物标志物。
