Shi Ting-Ting, Hua Lin, Wang Hua, Xin Zhong
Department of Endocrinology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Department of Mathematics, School of Biomedical Engineering, Capital Medical University, Beijing, China.
Int J Endocrinol. 2019 Dec 18;2019:9736968. doi: 10.1155/2019/9736968. eCollection 2019.
A previous study reported alterations in the intestinal microbiota in patients with Graves' orbitopathy (GO). Thyrotropin receptor autoantibody (TRAb) stimulates orbital and periorbital tissues and plays a pivotal role in the development of GO. However, the association between gut microbiota and TRAb in GO patients has still remained elusive. In this study, we explored the relationships between gut microbiota and GO-related traits, in which we applied a metabolic-network-driven analysis to identify GO trait-related modules and extracted significant operational taxonomic units (OTUs).
In the present study, we profiled gut microbiota using 16S rRNA gene sequencing in 31 GO patients. We performed metabolic-network-driven analysis to investigate the association between gut microbiota and GO-related traits (e.g., TRAb, TGAb, and TPOAb) in the combination of microbial effects.
Applying microbiome network analysis of cooccurrence patterns and analysis of topological properties, we found that and showed a significant correlation with TRAb. In particular, we applied the latent class model to explore the association between gut microbiota and GO-related traits in the combination of microbial effects. It was revealed that the subjects involved in the latent class model with the higher abundance of and had a higher TRAb level.
Our results revealed the potential relationships between gut microbiota and GO-related traits in the combination of microbial effects. This study may provide a new insight into the interaction between the intestinal microbiota and TRAb-associated immune responses in GO patients.
先前的一项研究报道了格雷夫斯眼眶病(GO)患者肠道微生物群的改变。促甲状腺素受体自身抗体(TRAb)刺激眼眶和眶周组织,在GO的发展中起关键作用。然而,GO患者肠道微生物群与TRAb之间的关联仍不明确。在本研究中,我们探讨了肠道微生物群与GO相关特征之间的关系,应用代谢网络驱动分析来识别与GO特征相关的模块,并提取显著的可操作分类单元(OTU)。
在本研究中,我们对31例GO患者使用16S rRNA基因测序对肠道微生物群进行了分析。我们进行了代谢网络驱动分析,以研究肠道微生物群与微生物效应组合中GO相关特征(如TRAb、TGAb和TPOAb)之间的关联。
通过对共生模式的微生物组网络分析和拓扑性质分析,我们发现 和 与TRAb呈显著相关。特别是,我们应用潜在类别模型来探索微生物效应组合中肠道微生物群与GO相关特征之间的关联。结果显示,在潜在类别模型中, 和 丰度较高的受试者TRAb水平较高。
我们的结果揭示了微生物效应组合中肠道微生物群与GO相关特征之间的潜在关系。本研究可能为GO患者肠道微生物群与TRAb相关免疫反应之间的相互作用提供新的见解。