畜牧兽医学报 ›› 2021, Vol. 52 ›› Issue (2): 543-552.doi: 10.11843/j.issn.0366-6964.2021.02.027

• 临床兽医 • 上一篇    下一篇

痛风雏鹅肠道菌群通过TLR4/MyD88/NF-κB通路促进肾损伤的研究

朱道仙1, 吴植3, 陆江2, 黄涛1, 刘莉1*   

  1. 1. 江苏农牧科技职业学院动物医学院, 泰州 225300;
    2. 江苏农牧科技职业学院宠物科技学院, 泰州 225300;
    3. 江苏省兽用生物制药高技术研究重点实验室, 泰州 225300
  • 收稿日期:2020-07-24 出版日期:2021-02-23 发布日期:2021-02-24
  • 通讯作者: 刘莉,主要从事动物临床营养及代谢病研究,E-mail:vetlily@163.com
  • 作者简介:朱道仙(1978-),女,安徽寿县人,讲师,硕士,主要从事动物临床营养及代谢病研究,E-mail:331802901@qq.com
  • 基金资助:
    江苏现代农业产业技术体系建设项目(JATS[2018]238);江苏农牧科技职业学院校企合作课题(11710120024)

Gut Bacteria of Gout Gosling Promoted Kidney Injury Through LTR4/MyD88/NF-κB Signaling Pathway

ZHU Daoxian1, WU Zhi3, LU Jiang2, HUANG Tao1, LIU Li1*   

  1. 1. Department of Animal Medicine, Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China;
    2. Department of Pet Science and Technology, Jiangsu Agri-animal Husbandry Vocational College, Taizhou 225300, China;
    3. Jiangsu Provincial Key Laboratory of Veterinary Bio-pharmaceutical High Technology Research, Taizhou 225300, China
  • Received:2020-07-24 Online:2021-02-23 Published:2021-02-24

摘要: 旨在研究痛风雏鹅的肠道菌群对肾损伤的影响及作用机制。本研究选取具有典型痛风特征的雏鹅15只,相同日龄及生长环境下的健康雏鹅15只,利用16S rDNA测序技术分析盲肠内容物中菌群的差异;用改良苦味酸法测定血清肌酐(Cr),用酶比色法测定血清尿酸(UA),用脲酶-谷氨酸脱氢酶法测定血清尿素氮(BUN);用RT-qPCR和Western blot法测定肾组织Toll样受体4(TLR4)、髓样分化因子(MyD88)、核转录因子-κB (NF-κB)、白细胞介素1β(IL-1β)、肿瘤坏死因子ɑ(TNF-ɑ)及白细胞介素6(IL-6)的mRNA和蛋白表达量。并将肠道菌群移植给无菌小鼠进行验证。结果显示:1)与健康雏鹅比较,痛风雏鹅肠道菌群16S rDNA测序所得操作分类单元(OTUs)数量、Chao 1指数及Shannon指数均显著降低(P<0.01),变形菌门、埃希菌属、变形菌属及肠球菌属等细菌丰度显著增加,痛风雏鹅肠道菌群在免疫系统、细菌感染、膜传输及核苷酸代谢等代谢途径参与度较高;2)与健康雏鹅比较,痛风雏鹅肾组织中TLR4、MyD88、NF-κBIL-1β、TNF-ɑIL-6的mRNA表达及蛋白表达均显著升高(P<0.05或P<0.01),且这些分子表达量与Cr、BUN及UA呈正相关,与埃希菌属、变形菌属及肠球菌属等菌属丰度呈强正相关关系;3)移植痛风雏鹅肠道菌群小鼠的肾小管发生变性,肾组织TLR4、MyD88、NF-κB的mRNA表达量及血中Cr、BUN、肾损伤因子-1(KIM-1)等水平显著高于移植健康雏鹅菌群的小鼠;给予移植痛风雏鹅菌群小鼠TAK-242后,可回调这些变化。综上表明,痛风雏鹅肠道菌群发生了变化,并可激活LTR4/MyD88/NF-κB通路,诱发炎症反应,促进肾损伤的发生。

关键词: 痛风雏鹅, 肠道菌群, 16S rDNA测序, LTR4/MyD88/NF-κB通路, 肾损伤

Abstract: This study aimed to investigate the effect of gut microbiota on renal injury and its mechanism in gout gosling. In this study, 15 goslings with typical gout characteristics and 15 healthy goslings of the same age and growth environment were selected. 16S rDNA sequencing technology was used to analyze the difference of bacterial diversity in cecal contents. Serum creatinine (Cr), uric acid (UA) and urea nitrogen (BUN) were respectively measured by modified picric acid method, enzyme colorimetric method and urease glutamate dehydrogenase method. RT qPCR and Western blot were respectively used to detect the mRNA and protein expressions of toll-like receptor 4 (TLR4), myeloid differentiation factor (MyD88), nuclear transcription factor-κB (NF-κB), interleukin-1β (IL-1β), tumor necrosis factor-ɑ (TNF-ɑ) and interleukin-6 (IL-6). Lastly, the gut microbiota was transplanted into sterile mice for the verification test. The results showed that: 1) Compared with healthy goslings, the number of operational taxonomic units (OTUs), Chao 1 index and Shannon index of gut microbiota in gout goslings were significantly decreased (P<0.01), and the abundance of Proteobacteria, Escherichia, Proteus and Enterococcus increased significantly. The gut microbiota of gout goslings had higher participation in the immune system, bacterial infection, membrane transport and nucleotide metabolism. 2) Compared with healthy goslings, the mRNA and protein expressions of TLR4, MyD88, NF-κB, IL-1β, TNF-α and IL-6 in kidney tissue of gout goslings were significantly increased (P<0.05 or 0.01). The mRNA expression levels of these molecules were positively correlated with Cr, BUN and UA, and strongly positively correlated with the abundance of Escherichia, Proteus and Enterococcus. 3) The mRNA expression of TLR4, MyD88, NF-κB in kidney tissue and the levels of Cr, BUN and KIM-1 in blood of mice transplanted gut microbiota of gout gosling were significantly higher than those of mice transplanted gut microbiota of healthy gosling. These changes could be reversed by TAK-242. In summary, gut microbiota changed in gout gosling can activate LTR4/MyD88/NF-κB signaling pathway, induce inflammatory response, and promote kidney injury.

Key words: gout gosling, gut bacteria, 16S rDRNA sequencing, LTR4/MyD88/NF-κB signaling pathway, kidney injury

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