Published online Jul 28, 2021. doi: 10.3748/wjg.v27.i28.4722
Peer-review started: January 26, 2021
First decision: February 27, 2021
Revised: March 7, 2021
Accepted: July 5, 2021
Article in press: July 5, 2021
Published online: July 28, 2021
Processing time: 180 Days and 22 Hours
The etiology of ulcerative colitis (UC) is still unclear, and dysbacteriosis may be a crucial environmental factor. Numerous studies have focused on the variations in intestinal microbiota diversity and composition of patients with UC.
Existing studies concerning UC and intestinal microbiota have arrived at various conclusions. A further understanding of the constitution and changes of the intestinal microbiota in patients with UC is necessary to elucidate the possible pathogenesis and investigate potential treatments.
To analyze the relationship between different clinical features and the intestinal microbiota, including bacteria and fungi, in Chinese patients with UC.
Gene amplicon sequencing of 16S rRNA gene and fungal internal transcribed spacer gene was used to detect the intestinal microbiota composition. Alpha diversity, principal component analysis, similarities analysis, and Metastats analysis were employed to evaluate differences among groups.
A total of 89 patients with UC and 33 controls were enrolled. A significant difference existed between the fecal and mucosal bacteria, and the α-diversity of intestinal bacteria and the relative abundance of some families decreased with the increasing severity of bowel inflammation. More intermicrobial correlations in UC in remission than in active patients were observed, and the bacteria-fungi correlations became single and uneven in patients with UC.
Patients with active UC have a significantly different intestinal microbiota in terms of various sample types and disease activities. Significantly different intermicrobial correlations and an unevenly distributed bacteria-fungi interaction were observed.
There is still a need to collect subjects to expand the sample size and further include data from other parts of China. And metagenomic sequencing method may be needed for more details at the species level in future research.