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Front Cell Infect Microbiol. 2021 Sep 15;11:714162. doi: 10.3389/fcimb.2021.714162. eCollection 2021.
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The effects of smoking and drinking on the oral and esophageal microbiota of healthy people.吸烟和饮酒对健康人口腔及食管微生物群的影响。
Ann Transl Med. 2021 Aug;9(15):1244. doi: 10.21037/atm-21-3264.
3
Biliary Microbiota in Choledocholithiasis and Correlation With Duodenal Microbiota.胆管结石病中的胆汁微生物群及其与十二指肠微生物群的相关性。
Front Cell Infect Microbiol. 2021 Apr 29;11:625589. doi: 10.3389/fcimb.2021.625589. eCollection 2021.
4
PICRUSt2 for prediction of metagenome functions.用于宏基因组功能预测的PICRUSt2
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16S rDNA microbiome composition pattern analysis as a diagnostic biomarker for biliary tract cancer.16S rDNA 微生物组组成模式分析作为胆道癌的诊断生物标志物。
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A Preliminary Study of Biliary Microbiota in Patients with Bile Duct Stones or Distal Cholangiocarcinoma.胆管结石或远端胆管癌患者胆道微生物群的初步研究。
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The microbiome, cancer, and cancer therapy.微生物组、癌症与癌症治疗。
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Inflammation and the Gut-Liver Axis in the Pathophysiology of Cholangiopathies.炎症与肠-肝轴在胆病病理生理学中的作用。
Int J Mol Sci. 2018 Oct 1;19(10):3003. doi: 10.3390/ijms19103003.

胆囊结石、肝门周围胆管癌、远端胆管癌和胰腺癌中胆汁微生物群的特征。

Characteristics of bile microbiota in cholelithiasis, perihilar cholangiocarcinoma, distal cholangiocarcinoma, and pancreatic cancer.

作者信息

Li Zhengqi, Chu Jiangtao, Su Feixiong, Ding Xuan, Zhang Yueming, Dou Lizhou, Liu Yong, Ke Yan, Liu Xudong, Liu Yumeng, Wang Guiqi, Wang Linheng, He Shun

机构信息

Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Beijing 100021, China.

Department of Endoscopy, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen 518116, China.

出版信息

Am J Transl Res. 2022 May 15;14(5):2962-2971. eCollection 2022.

PMID:35702117
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9185071/
Abstract

Significant proof suggests an essential role played by the bile microbiota in biliary diseases. This study retrospectively analyzed the differences in biliary microbes among patients with perihilar cholangiocarcinoma (pCCA), distal cholangiocarcinoma (dCCA), pancreatic cancer (PC), and cholelithiasis (CH). Bile samples were obtained from 53 patients who underwent endoscopic retrograde cholangiopancreatography (ERCP), and the bile microbiota was analyzed through 16S rRNA gene analysis and next-generation sequencing. Based on the results of linear discriminant analysis effect size (LEfSe), the top three biomarkers for pCCA at the genus level were Pseudomonas, Sphingomonas, and Halomonas; for dCCA were Streptococcus, Prevotella, and Halomonas; and for PC were Pseudomonas, Chloroplast, and Acinetobacter. The top five genera in the pCCA, dCCA, and PC groups showed predictive values with areas under the receiver operating characteristic curves of 91.56%, 95.56%, and 96.59%, respectively. The PICRUSt2 analysis outcomes displayed the diversities of fifteen pathways between the CH and pCCA groups, 22 pathways between the CH and dCCA groups, and eighteen pathways between the CH and PC groups. As this pilot study identified specific microbial bile markers for patients with CH, pCCA, dCCA, and PC, the clinical implications are vast. Further study focusing on distinct bacterial populations in bile will help differentiate biliary diseases.

摘要

大量证据表明胆汁微生物群在胆道疾病中发挥着重要作用。本研究回顾性分析了肝门周围胆管癌(pCCA)、远端胆管癌(dCCA)、胰腺癌(PC)和胆结石(CH)患者胆汁微生物的差异。从53例行内镜逆行胰胆管造影(ERCP)的患者中获取胆汁样本,并通过16S rRNA基因分析和下一代测序对胆汁微生物群进行分析。基于线性判别分析效应大小(LEfSe)的结果,pCCA在属水平上的前三大生物标志物是假单胞菌属、鞘氨醇单胞菌属和嗜盐单胞菌属;dCCA的是链球菌属、普雷沃菌属和嗜盐单胞菌属;PC的是假单胞菌属、叶绿体和不动杆菌属。pCCA、dCCA和PC组中排名前五的属显示出预测价值,受试者工作特征曲线下面积分别为91.56%、95.56%和96.59%。PICRUSt2分析结果显示,CH组和pCCA组之间有15条途径存在差异,CH组和dCCA组之间有22条途径存在差异,CH组和PC组之间有18条途径存在差异。由于这项初步研究确定了CH、pCCA、dCCA和PC患者的特定微生物胆汁标志物,其临床意义重大。进一步研究胆汁中不同的细菌群体将有助于鉴别胆道疾病。