上海交通大学学报(医学版) ›› 2023, Vol. 43 ›› Issue (6): 655-664.doi: 10.3969/j.issn.1674-8115.2023.06.001

• 儿童哮喘专题 •    

不同严重程度支气管哮喘儿童肠道菌群差异的探索性分析

温亚锦1(), 何雯1(), 韩晓2(), 张晓波1()   

  1. 1.复旦大学附属儿科医院呼吸科,上海 201102
    2.复旦大学附属儿科医院儿科研究院,上海 201102
  • 收稿日期:2022-12-02 接受日期:2023-04-10 出版日期:2023-06-28 发布日期:2023-06-28
  • 通讯作者: 韩晓,张晓波 E-mail:wenyajinchn@163.com;hewen@fudan.edu.cn;sqhx12@126.com;zhangxiaobo0307@163.com
  • 作者简介:温亚锦(1996—),女,硕士生;电子信箱:wenyajinchn@163.com
    何雯 (1996—),女,住院医师,硕士生;电子信箱:hewen@fudan.edu.cn第一联系人:*为共同第一作者。
    #为共同通信作者。
  • 基金资助:
    上海市科学技术委员会重点课题(22511106001);上海市“科技创新行动计划”自然科学基金(20ZR1408300);上海市青年科技启明星计划(22QA1401500)

Exploratory analysis of gut microbiota differences in childhood asthma with different severity

WEN Yajin1(), HE Wen1(), HAN Xiao2(), ZHANG Xiaobo1()   

  1. 1.Department of Respiratory Medicine, Children's Hospital of Fudan University, Shanghai 201102, China
    2.Institute of Pediatrics, Children's Hospital of Fudan University, Shanghai 201102, China
  • Received:2022-12-02 Accepted:2023-04-10 Online:2023-06-28 Published:2023-06-28
  • Contact: HAN Xiao,ZHANG Xiaobo E-mail:wenyajinchn@163.com;hewen@fudan.edu.cn;sqhx12@126.com;zhangxiaobo0307@163.com
  • Supported by:
    Key Project of Science and Technology Commission of Shanghai Municipality(22511106001);Natural Science Foundation of Shanghai(20ZR1408300);Shanghai Rising-Star Program(22QA1401500)

摘要:

目的·探讨不同严重程度支气管哮喘患儿肠道菌群的特征及差异,并构建重症哮喘肠道菌群预测模型。方法·选取2020年9月1日—2022年8月31日期间在复旦大学附属儿科医院呼吸科门诊就诊且主要诊断为哮喘的5~14岁儿童,根据2020年版《儿童支气管哮喘的规范化诊治建议》纳入重症哮喘儿童,根据年龄、性别匹配同期轻中度哮喘儿童、健康体检儿童。使用16S rRNA高通量测序对3组儿童新鲜粪便标本进行肠道菌群检测,比较各组儿童肠道菌群的多样性及群落结构,分析差异物种,绘制重症哮喘预测模型受试者操作特征曲线(receiver operating characteristic curve,ROC曲线)并比较曲线下面积(area under curve,AUC)。结果·共纳入重症哮喘儿童50例、性别和年龄匹配的轻中度哮喘儿童54例以及健康对照儿童39例。与健康对照组儿童相比,轻中度哮喘组和重症哮喘组儿童肠道菌群的α多样性显著降低(P<0.05)。健康对照儿童、轻中度哮喘儿童、重症哮喘儿童组密螺旋体属(Treponema)的相对丰度依次增加(P<0.001);与健康对照组儿童相比,轻中度哮喘组和重症哮喘组乳杆菌属(Lactobacillus)的相对丰度较高(均P<0.05)。重症哮喘儿童肠道菌群中普雷沃菌属(Prevotella)、乳杆菌属(Lactobacillus)、真杆菌属(Eubacterium_eligens_ group)、密螺旋体属(Treponema)、纺锤链杆菌属(Fusicatenibacter)的相对丰度较高;轻中度哮喘组巴恩斯菌属(Barnesiella)、霍尔德曼菌属(Holdemanella)、罗姆布茨菌属(Romboutsia)、苏黎世杆菌属(Turicibacter)的相对丰度较高;健康对照组儿童未培养细菌(uncultured)、Muribaculaceae菌属的相对丰度较高。其中,重症哮喘患儿肠道菌群中巴恩斯菌属的相对丰度较低,其预测重症哮喘的敏感度及特异度均高于其他菌属(AUC 0.713,95%CI 0.604~0.815)。结论·哮喘患儿的肠道菌群的多样性低于健康对照儿童,且不同严重程度哮喘儿童的肠道菌群存在较多显著差异物种。其中巴恩斯菌属在重症哮喘患儿肠道菌群中丰度显著降低,提示肠道菌群分析在儿童哮喘严重程度评估中的重要价值。

关键词: 儿童哮喘, 严重程度, 肠道菌群, 16s rRNA, 巴恩斯菌属

Abstract:

Objective ·To explore the characteristics and differences of gut microbiota in children with different severity of bronchial asthma, and build a prediction model of gut microbiota in severe asthma. Methods ·In this study, children aged 5 to 14 diagnosed with asthma in the Department of Respiratory Medicine of Children's Hospital of Fudan University from Sep 1, 2020 to Aug 31, 2022 were selected, and children with severe asthma (SA) according to the Recommendations for Standardized Diagnosis and Managementof Bronchial AsthmainChildren (2020) were included. Children with mild to moderate asthma (MMA) and healthy children in the same period were matched according to age and gender. Stool samples collected from the three groups were subjected to 16S rRNA gene sequencing and the gut microbiota diversity, structure, and composition were assessed. The area under the receiver operating characteristic (ROC) curve (AUC) was applied to compare the predictive efficacy for SA. Results ·Fifty children were enrolled in the SA group, 54 children matched by gender and age were in the MMA group and 39 healthy children were in the healthy control group. The α diversity of gut microbiota significantly decreased in the asthma children (P<0.05), compared with that in the healthy control group. The relative abundance of Treponema was the highest in the SA group, followed by the MMA group and healthy control group (P<0.001). The relative abundance of Lactobacillus in the MMA group and SA group was higher than that in the healthy control group (both P<0.05). The SA group had a higher relative abundance of Prevotella, Lactobacillus, Eubacterium_eligens_group, Treponema, and Fusicatenibacter. The MMA group had a higher relative abundance of Barnesiella, Holdemanella, Romboutsia and Turicibacter. The healthy control group had a higher relative abundance of the uncultured and Muribaculaceae. Among them, the relative abundance of Barnesiella decreased in the SA group, and itwas found to have the highest sensitivity and specificity in predicting SA (AUC 0.713, 95%CI 0.604?0.815). Conclusion ·The diversity of gut microbiota in asthma children is lower than that in healthy children, and the composition of gut microbiota differs among childhood asthma with different severity. The abundance of Barnesiella decreases in the SA group significantly, suggesting that analysis of gut microbiota may help in the assessment of childhood asthma with different severity.

Key words: childhood asthma, severity, gut microbiota, 16s rRNA, Barnesiella

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