Genomics Research Center, Key Laboratory of Gut Microbiota and Pharmacogenomics of Heilongjiang Province, State-Province Key Laboratory of Biomedicine-Pharmaceutics of China, College of Pharmacy, Harbin Medical University, Harbin, China.
Harbin Medical University-University of Calgary Cumming School of Medicine Centre for Infection and Genomics, Harbin Medical University, Harbin, China.
BMC Microbiol. 2024 Apr 5;24(1):119. doi: 10.1186/s12866-024-03278-5.
Obesity is a metabolic disorder closely associated with profound alterations in gut microbial composition. However, the dynamics of species composition and functional changes in the gut microbiome in obesity remain to be comprehensively investigated. In this study, we conducted a meta-analysis of metagenomic sequencing data from both obese and non-obese individuals across multiple cohorts, totaling 1351 fecal metagenomes. Our results demonstrate a significant decrease in both the richness and diversity of the gut bacteriome and virome in obese patients. We identified 38 bacterial species including Eubacterium sp. CAG:274, Ruminococcus gnavus, Eubacterium eligens and Akkermansia muciniphila, and 1 archaeal species, Methanobrevibacter smithii, that were significantly altered in obesity. Additionally, we observed altered abundance of five viral families: Mesyanzhinovviridae, Chaseviridae, Salasmaviridae, Drexlerviridae, and Casjensviridae. Functional analysis of the gut microbiome indicated distinct signatures associated to obesity and identified Ruminococcus gnavus as the primary driver for function enrichment in obesity, and Methanobrevibacter smithii, Akkermansia muciniphila, Ruminococcus bicirculans, and Eubacterium siraeum as functional drivers in the healthy control group. Additionally, our results suggest that antibiotic resistance genes and bacterial virulence factors may influence the development of obesity. Finally, we demonstrated that gut vOTUs achieved a diagnostic accuracy with an optimal area under the curve of 0.766 for distinguishing obesity from healthy controls. Our findings offer comprehensive and generalizable insights into the gut bacteriome and virome features associated with obesity, with the potential to guide the development of microbiome-based diagnostics.
肥胖是一种代谢紊乱疾病,与肠道微生物组成的深刻变化密切相关。然而,肥胖症患者肠道微生物组的物种组成和功能变化的动态仍需要全面研究。在这项研究中,我们对来自多个队列的肥胖和非肥胖个体的宏基因组测序数据进行了荟萃分析,共包括 1351 个粪便宏基因组。我们的结果表明,肥胖患者的肠道细菌组和病毒组的丰富度和多样性都显著降低。我们鉴定了 38 种细菌,包括 Eubacterium sp. CAG:274、Ruminococcus gnavus、Eubacterium eligens 和 Akkermansia muciniphila,以及 1 种古菌 Methanobrevibacter smithii,它们在肥胖症中显著改变。此外,我们观察到五个病毒家族的丰度发生了改变:Mesyanzhinovviridae、Chaseviridae、Salasmaviridae、Drexlerviridae 和 Casjensviridae。肠道微生物组的功能分析表明,与肥胖相关的特征明显不同,并确定 Ruminococcus gnavus 是肥胖症中功能富集的主要驱动因素,而 Methanobrevibacter smithii、Akkermansia muciniphila、Ruminococcus bicirculans 和 Eubacterium siraeum 是健康对照组中功能富集的驱动因素。此外,我们的研究结果表明,抗生素耐药基因和细菌毒力因子可能会影响肥胖症的发展。最后,我们证明了肠道 vOTUs 能够以 0.766 的最佳曲线下面积区分肥胖症与健康对照组,具有诊断准确性。我们的研究结果提供了与肥胖相关的肠道细菌组和病毒组特征的全面和普遍适用的见解,为基于微生物组的诊断方法的开发提供了潜在的指导。