16S rRNA 测序揭示了赫氏小肠结肠炎相关肠道细菌的变化。

IF 1.5 Q4 GENETICS & HEREDITY
Global Medical Genetics Pub Date : 2024-08-22 eCollection Date: 2024-12-01 DOI:10.1055/s-0044-1789237
Hao Shi, Yong She, Wu Mao, Yi Xiang, Lu Xu, Sanjun Yin, Qi Zhao
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引用次数: 0

摘要

赫氏相关性小肠结肠炎(HAEC)是赫氏病最常见、最严重的并发症。微生物群组成的变化可能是导致HAEC与健康人之间差异的原因,这为了解该病的发病机制提供了重要依据。在此,我们使用 16sRNA 扩增序列对一组 HAEC 患者(16 人)和健康对照组(14 人)的肠道微生物群变化进行了研究。结果显示,两组患者的贝塔多样性存在显著差异。对错误发现率进行校正后,属一级的秩和检验表明,双歧杆菌、乳酸杆菌和Veillonella的相对丰度明显下降,而肠球菌属在HAEC中的丰度则大幅上升,这一发现得到了线性判别分析效应大小分析的进一步支持。功能分析显示,推定转运和分解代谢、消化系统以及辅助因子和维生素的代谢被证明是健康组中一些丰富的 KO(京都基因和基因组百科全书 [KEGG] 直向同源物),而传染病、膜转运和碳水化合物代谢是 HAEC 组中丰度较高的三个 KO。我们的数据增加了我们对HAEC的了解,可能会进一步揭示HAEC的发病机制。我们的研究首次证明了HAEC患者与健康人粪便微生物群的差异,为了解HAEC的病理生理学迈出了一步。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
16S rRNA Sequencing Reveals Alterations of Gut Bacteria in Hirschsprung-Associated Enterocolitis.

Hirschsprung-associated enterocolitis (HAEC) stands as most common and serious complication of Hirschsprung's disease. Variations in the microbiota composition may account for the differences observed between HAEC and healthy individuals, offering crucial insights into the disease's pathogenesis. Here, we performed a study to changes in the gut microbiome using 16sRNA amplicon sequencing in a cohort of HAEC patients ( n  = 16) and healthy controls ( n  = 14). Our result revealed a significant disparity in beta diversity between the two groups. Following correction for false discovery rate, a rank-sum test at the genus level indicated a notable decrease in the relative abundance of Bifidobacterium , Lactobacillus , and Veillonella , whereas the Enterococcus genus exhibited a substantial increase in HAEC, a finding further supported by additional linear discriminant analysis effect size analysis. Functional analysis showed that putative transport and catabolism, digestive system, and metabolism of cofactors and vitamins were proved to be some abundant KOs (Kyoto Encyclopedia of Genes and Genomes [KEGG] orthologs) in healthy group, whereas infectious disease, membrane transport, and carbohydrate metabolism were the three KOs with the higher abundance in the HAEC group. Our data increased our insight into the HAEC, which may shed further light on HAEC pathogenesis. Our study firstly demonstrated the difference between fecal microbiota of HAEC patients and healthy individuals, which made a step forward in the understanding of the pathophysiology of HAEC.

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来源期刊
Global Medical Genetics
Global Medical Genetics GENETICS & HEREDITY-
自引率
11.80%
发文量
30
审稿时长
14 weeks
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