基于16S核糖体RNA高通量测序前瞻性分析50岁及以上重度烧伤患者早期肠道菌群变化
作者:
作者单位:

1.武汉科技大学医学部医学院,湖北 武汉 430065 ; 2.武汉大学同仁医院暨武汉市第三医院消化内科 ;3.烧伤科,湖北 武汉 430000

作者简介:

通讯作者:

中图分类号:

基金项目:

国家自然科学基金(82100559);湖北省自然科学基金(2019CFB749)


Prospective analysis of early gut microbiota changes in severe burn patients aged 50 and above based on 16S rRNA high⁃throughput sequencing
Author:
Affiliation:

1.School of Medicine,Department of Medicine,Wuhan University of Science and Technology,Wuhan 430065 ; 2.Department of Gastroenterology ;3.Department of Burns,Tongren Hospital of Wuhan University & Wuhan ThirdHospital,Wuhan 430000 ,China

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    目的:借助16S核糖体RNA(16S ribosomal RNA,16S rRNA)高通量测序分析50岁及以上重度烧伤患者早期肠道菌群变化,为50岁及以上重度烧伤患者应用肠道菌群干预策略提供依据。方法:按照入排标准纳入13例重度烧伤患者(Burn 组)和同期12例健康志愿者(Control组)。收集两组临床资料及粪便样本,并对样本进行16S rRNA V4区基因测序,分析各类菌属的相对丰度;用Rarefy方法进行操作分类单元(operational taxonomic unit,OTU)划分,使用Z-score对差异菌群进行标准化,构建差异菌群热图,通过 QIIME 软件分析粪便菌群 OTU 数目及多样性指数;利用线性判别分析效应大小(linear discriminant analysis effect size,LEfSe)解析优势菌群;通过PICRUSt2软件预测菌群功能丰度;使用R语言中的igraph包对试验样本属水平差异菌行相关性可视化分析。结果:重度烧伤患者早期肠道菌群以厚壁菌门(Firmicutes)、拟杆菌门(Bacteroidota)为主。23种菌属在两组间的差异有统计学意义(P < 0.05)。差异菌群热图可见Control组的菌群丰度略优于Burn组。LEfSe分析表明,与 Control组相比,Burn组的肠道菌群物种数目在 1个门、2个纲、6个目、6个科和10个属中显著增加,两组差异微生物分布分支图提示Burn组以芽孢杆菌纲为主要区别标志菌群,Control组以梭菌纲为主要标志菌群。京都基因和基因组百科全书(Kyoto Encyclopedia of Genes and Genomes,KEGG)功能预测分析提示两组间差异无统计学意义(P > 0.05)。联合网络可视化分析发现厚壁菌门影响最大,在可检测到的菌属中共有136对菌属彼此间具有一定的正相关或负相关性(|r|>0.3,P < 0.05),以协同作用为主。结论:50岁及以上重度烧伤患者早期肠道菌群与健康同龄人存在显著差异,有益菌种类及丰度减少,厌氧菌比例显著升高,不同菌群间存在一定的协同及拮抗作用。

    Abstract:

    Objective:To analyze the early changes in the gut microbiota of patients aged 50 and above with severe burns using high -throughput sequencing of 16S ribosomal RNA(16S rRNA),and to provide a basis for applying intestinal flora intervention strategies in this patient population. Methods:Thirteen patients with severe burns(burn group)and twelve healthy volunteers(control group)were enrolled according to the inclusion and exclusion criteria. Clinical data and fecal samples were collected from both groups,and 16S rRNA V4 region gene sequencing was performed to assess the relative abundance of various bacterial taxa. The Rarefy method was employed to generate operational taxonomic units(OTUs),and Z-score normalization was applied to identify differentially abundant bacteria. A heatmap for differential bacterial communities was constructed. The number of fecal microbiota OTUs and diversity indices were analyzed using QIIME. Linear discriminant analysis effect size(LEfSe)was used to identify dominant bacterial groups. The functional abundance of the microbiota was predicted using PICRUSt2 software. The correlations among differential bacterial taxa at the genus level were visualized using the igraph package in R language. Results:The early gut microbiota of severe burn patients was predominantly composed of Firmicutes and Bacteroidota. Twenty - three bacterial genera exhibited significant differences between the two groups(P < 0.05). The heatmap of differential bacterial communities indicated that the burn group had a slightly lower abundance of microbial taxa than the control group. LEfSe analysis indicated that,compared to the control group,the burn group exhibited a significant increase in bacterial species in one phylum,two classes,six orders,six families,and ten genera. The differential microbial distribution dendrogram suggested that Bacilli were the primary distinguishing marker for the burn group, while Clostridia were the main marker for the control group. KEGG functional prediction analysis indicated no significant differences between the two groups(P > 0.05). Combined network visualization analysis revealed that Firmicutes exerted the greatest influence, with 136 bacterial genera showing significant positive or negative correlations(|r|> 0.3,P < 0.05),primarily through synergistic interactions. Conclusion:In patients aged 50 and above with severe burns,there are significant differences in early gut microbiota compared to healthy peers of the same age. The abundance of beneficial bacterial species is reduced,the proportion of anaerobic bacteria is significantly increased. Additionally,there are certain synergistic and antagonistic interactions among different microbial communities.

    参考文献
    相似文献
    引证文献
引用本文

秦浩,谢卫国,陈小红,刘蒙,田霞.基于16S核糖体RNA高通量测序前瞻性分析50岁及以上重度烧伤患者早期肠道菌群变化[J].南京医科大学学报(自然科学版),2025,(4):523-534

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-10-22
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2025-04-08
  • 出版日期:
关闭