Lu Ganghua, Yu Xiaqing, Jiang Wen, Luo Qiong, Tong Junyu, Fan Suyun, Chai Li, Gao Dingwei, Qiao Tingting, Wang Ru, Deng Chengwen, Lv Zhongwei, Li Dan
Department of Nuclear Medicine, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Clinical Nuclear Medicine Center, Tongji University School of Medicine, Shanghai, China.
Front Endocrinol (Lausanne). 2022 Jun 3;13:893164. doi: 10.3389/fendo.2022.893164. eCollection 2022.
Currently, the high morbidity of individuals with thyroid cancer (TC) is an increasing health care burden worldwide. The aim of our study was to investigate the relationship among the gut microbiota community, metabolites, and the development of differentiated thyroid cancer.
16S rRNA gene sequencing and an integrated LC-MS-based metabolomics approach were performed to obtain the components and characteristics of fecal microbiota and metabolites from 50 patients with TC and 58 healthy controls (HCs).
The diversity and richness of the gut microbiota in the TC patients were markedly decreased. The composition of the gut microbiota was significantly altered, and the enterotype was the dominant enterotype in TC patients. Additionally, the diagnostic validity of the combined model (three genera and eight metabolites) and the metabolite model (six metabolites) were markedly higher than that of the microbial model (seven genera) for distinguishing TC patients from HCs. LEfSe analysis demonstrated that genera () and metabolites [27-hydroxycholesterol (27HC), cholesterol] closely related to lipid metabolism were greatly reduced in the TC group. In addition, a clinical serum indicator (total cholesterol) and metabolites (27HC and cholesterol) had the strongest influence on the sample distribution. Furthermore, functional pathways related to steroid biosynthesis and lipid digestion were inhibited in the TC group. In the microbiota-metabolite network, 27HC was significantly related to metabolism-related microorganisms ().
Our research explored the characteristics of the gut microecology of patients with TC. The findings of this study will help to discover risk factors that affect the occurrence and development of TC in the intestinal microecology.
目前,甲状腺癌(TC)患者的高发病率在全球范围内给医疗保健带来了日益沉重的负担。我们研究的目的是调查肠道微生物群落、代谢物与分化型甲状腺癌发展之间的关系。
采用16S rRNA基因测序和基于液相色谱 - 质谱联用的综合代谢组学方法,从50例TC患者和58例健康对照(HCs)中获取粪便微生物群和代谢物的组成及特征。
TC患者肠道微生物群的多样性和丰富度明显降低。肠道微生物群的组成发生了显著改变,且[某种肠型]是TC患者中的优势肠型。此外,联合模型(三个属和八种代谢物)和代谢物模型(六种代谢物)区分TC患者与HCs的诊断有效性明显高于微生物模型(七个属)。线性判别分析效应大小(LEfSe)分析表明,与脂质代谢密切相关的属([具体属名])和代谢物[27 - 羟基胆固醇(27HC)、胆固醇]在TC组中大幅减少。此外,一种临床血清指标(总胆固醇)和代谢物(27HC和胆固醇)对样本分布的影响最强。此外,TC组中与类固醇生物合成和脂质消化相关的功能通路受到抑制。在微生物群 - 代谢物网络中,27HC与代谢相关微生物([具体微生物])显著相关。
我们的研究探索了TC患者肠道微生态的特征。本研究结果将有助于发现肠道微生态中影响TC发生发展的危险因素。