王中秋, 王清鑫, 巩琳琳, 袁智勇, 王伟. 放射性肠炎患者肠道菌群的变化及其与炎症反应的关系[J]. 中国肿瘤临床, 2021, 48(6): 275-282. DOI: 10.3969/j.issn.1000-8179.2021.06.801
引用本文: 王中秋, 王清鑫, 巩琳琳, 袁智勇, 王伟. 放射性肠炎患者肠道菌群的变化及其与炎症反应的关系[J]. 中国肿瘤临床, 2021, 48(6): 275-282. DOI: 10.3969/j.issn.1000-8179.2021.06.801
Zhongqiu WANG, Qingxin WANG, Linlin GONG, Zhiyong YUAN, Wei WANG. Changes in gut microbial profiles and their correlation with inflammation in patients with radiation proctitis[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2021, 48(6): 275-282. DOI: 10.3969/j.issn.1000-8179.2021.06.801
Citation: Zhongqiu WANG, Qingxin WANG, Linlin GONG, Zhiyong YUAN, Wei WANG. Changes in gut microbial profiles and their correlation with inflammation in patients with radiation proctitis[J]. CHINESE JOURNAL OF CLINICAL ONCOLOGY, 2021, 48(6): 275-282. DOI: 10.3969/j.issn.1000-8179.2021.06.801

放射性肠炎患者肠道菌群的变化及其与炎症反应的关系

Changes in gut microbial profiles and their correlation with inflammation in patients with radiation proctitis

  • 摘要:
      目的  探讨放射性肠炎(radiation proctitis,RP)患者肠道菌群的变化及其与炎症反应的关系。
      方法  回顾性分析2017年7月至2018年6月天津医科大学肿瘤医院18例接受盆腔外照射的初治宫颈癌患者(RP组10例,对照组8例)的临床资料。基于Illu? mina HiSeq测序平台对粪便细菌16S rRNA V4区进行双末端测序。制备粪菌悬液与FHC细胞共培养,检测炎症指标。检测患者血清炎性因子。构建RP小鼠模型,对肠道菌群进行定量分析,观察肠黏膜组织病理学及肠屏障功能,检测血清炎性因子。
      结果  RP组普氏菌属-9、沙雷氏菌属、罗氏菌属、普氏菌属-2、韦荣球菌属均显著增加,拟杆菌属和副拟杆菌属明显减少;α-多样性更低,β-多样性更显著;变形菌门、γ-变形菌纲以及肠杆菌目的丰度均明显升高。RP组的肠道菌群能促进上皮细胞分泌IL-1β、TNF-α和IL-4,激活P65,上调COX、iNOS、MCP1和CRP。RP组血清TNF-α、IL-1β和CXCL-1的分泌显著增加。RP小鼠粪便样本中总16S rRNA含量明显减少、普氏菌明显增加、拟杆菌明显下降;肠黏膜不完整,肠绒毛变短,上皮结构及黏膜屏障均被破坏;血清TNF-α、IL-1β和CXCL-1显著增加。
      结论  RP患者具有肠道菌群失调的现象,这种现象与宿主的炎症状态密切相关。

     

    Abstract:
      Objective  Radiation proctitis (RP) is the most common complication of radiotherapy for pelvic irradiation receivers. In this study, we investigated the changes in gut microbial profiles and their association with inflammation in patients with RP.
      Methods  Fecal samples were collected from 18 patients with cervical cancer undergoing radiotherapy, with 10 samples being obtained from patients with RP and 8 being used as control samples. Microbiota profiles were characterized by 16S rRNA sequencing using the Illumina HiSeq platform. An epithelial monolayer cell co-culture model was used to investigate the effects of radiation-induced microbial dysbiosis on the epithelial inflammatory response. Additionally, the serum cytokine levels of inflammatory indicators are evaluated. Furthermore, a radiation-induced mouse colitis model was used to analyze changes in fecal microbiota and tissue pathology, tight junction, and cytokine secretion.
      Results  Dysbiosis was observed among RP patients, and was characterized by a relatively higher abundance of Prevotella-9, Serratia, Rothia, Prevotella-2, and Veillonella and lower abundance of Bacteroides and Parasoidetes. The alpha diversity of the patients with RP was markedly reduced and the beta diversity analyses showed that the RP and control cohorts were differed substantially. Proteobacteria, Gammaproteobacteria, and Enterobacteriales were clearly enriched in patients with RP at the phylum, class, and order levels, respectively. Additionally, the levels of inflammatory markers were remarkably increased. Furthermore, RP-patient?derived microbiota induced the secretion of IL-1β, TNF-α, and IL-4, phosphorylation of p65, and the upregulation of COX, iNOS, MCP1, and CRP. Moreover, serum TNF-α, IL-1β, and CXCL-1 levels were significantly higher in patients with RP. In the RP mouse model, the quantities of total 16S rRNA gene and abundance of Bacteroides were significantly decreased, while the abundance of Prevotella was increased. The colons of RP mice were characterized by the destruction of epithelial architecture, mucus gland damage, and intense inflammatory cell infiltration. Meanwhile, the tight junctions were smaller, looser, and indistinct. Additionally, serum levels of TNF-α, IL-1β, and CXCL-1 were higher.
      Conclusions  We presented the overall picture of the gut microbiota in patients with RP. Our re-sults suggest that dysbiosis of the gut microbiota may be correlated with intestinal inflammation. Hence, gut microbiota may offer a set of biomarkers for prediction, disease activity evaluation, and treatment selection for RP.

     

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