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.

H.S.: sample collection, methodology; W.M.: sample collection; Y.X.: sample collection; S.Y.: data analysis; Y.S.: data analysis, editing; Q.Z.: methodology, data analysis.

The 16S rRNA gene sequencing data sets used and analyzed during the current study are available at the Genome Sequence Archive: CRA011847.

Article published online:
22 August 2024

© 2024. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution License, permitting unrestricted use, distribution, and reproduction so long as the original work is properly cited. (https://creativecommons.org/licenses/by/4.0/)

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