Shi Hao, She Yong, Mao Wu, Xiang Yi, Xu Lu, Yin Sanjun, Zhao Qi
Department of Surgery, Guangdong Women and Children Hospital, Guangzhou, China.
Department of Experimental Research, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Glob Med Genet. 2024 Aug 22;11(4):263-269. doi: 10.1055/s-0044-1789237. eCollection 2024 Dec.
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 ( = 16) and healthy controls ( = 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 , , and , whereas the 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.
先天性巨结肠相关小肠结肠炎(HAEC)是先天性巨结肠最常见且最严重的并发症。微生物群组成的差异可能解释了HAEC患者与健康个体之间观察到的差异,为该疾病的发病机制提供了关键见解。在此,我们进行了一项研究,使用16sRNA扩增子测序对一组HAEC患者(n = 16)和健康对照(n = 14)的肠道微生物组变化进行分析。我们的结果显示两组之间的β多样性存在显著差异。在对错误发现率进行校正后,属水平的秩和检验表明,[具体属名1]、[具体属名2]和[具体属名3]的相对丰度显著降低,而[具体属名4]属在HAEC中显著增加,额外的线性判别分析效应大小分析进一步支持了这一发现。功能分析表明,假定的转运和分解代谢、消化系统以及辅因子和维生素的代谢在健康组中被证明是一些丰富的KEGG直系同源物(KO),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。我们的数据加深了我们对HAEC的认识,这可能为HAEC的发病机制提供进一步的线索。我们的研究首次证明了HAEC患者和健康个体粪便微生物群之间的差异,这在理解HAEC的病理生理学方面向前迈进了一步。