Center for Systemic Inflammation Research (CSIR), School of Preclinical Medicine, Youjiang Medical University for Nationalities, Baise, Guangxi Province, China.
Baise Maternal and Child Hospital, Baise, Guangxi Province, China.
Mediators Inflamm. 2022 May 20;2022:2808249. doi: 10.1155/2022/2808249. eCollection 2022.
Sepsis is characterized as a dysregulated host immune response to infection and has been known to be closely associated with the gut microbiome. This study was aimed at investigating the gut microbial profiles of Zhuang ethnic patients with sepsis.
Eleven Zhuang ethnic patients with sepsis and 20 healthy individuals (controls) were recruited at the Baise City People's Hospital, China. Their gut microbial community profiles were analyzed by 16S rRNA gene sequencing using the Illumina MiSeq system.
The gut microbial community of patients with sepsis was significantly altered compared to that of the healthy individuals based on the results of principal coordinate analysis and microbial ecological networks. Additionally, significantly lower microbial alpha diversity was observed in patients with sepsis than in healthy individuals. In particular, the enrichment of , , , and , along with the reduced abundance of a large number of short-chain fatty acid-producing microbes, including , , , , , , , and was observed in patients with sepsis compared to the control group. Moreover, patients with sepsis could be effectively classified based on the abundance of these bacteria using a support vector machine algorithm.
This study demonstrated significant differences in the gut microbiome between Zhuang ethnic patients with sepsis and healthy individuals. In the future, it is necessary to determine whether such alterations are the cause or consequence of sepsis.
脓毒症的特征是宿主对感染的免疫反应失调,并且与肠道微生物组密切相关。本研究旨在调查壮族脓毒症患者的肠道微生物特征。
在中国百色市人民医院招募了 11 名壮族脓毒症患者和 20 名健康个体(对照)。使用 Illumina MiSeq 系统通过 16S rRNA 基因测序分析他们的肠道微生物群落图谱。
基于主坐标分析和微生物生态网络的结果,脓毒症患者的肠道微生物群落与健康个体相比发生了显著改变。此外,脓毒症患者的微生物 α多样性明显低于健康个体。特别是,与对照组相比,在脓毒症患者中观察到了、、、和的富集,以及大量产生短链脂肪酸的微生物的丰度降低,包括、、、、、、和。此外,使用支持向量机算法可以根据这些细菌的丰度有效分类脓毒症患者。
本研究表明,壮族脓毒症患者与健康个体的肠道微生物组存在显著差异。未来有必要确定这些变化是脓毒症的原因还是结果。