Published online Mar 9, 2024. doi: 10.5409/wjcp.v13.i1.90755
Peer-review started: December 12, 2023
First decision: December 19, 2023
Revised: January 1, 2024
Accepted: February 6, 2024
Article in press: February 6, 2024
Published online: March 9, 2024
Processing time: 85 Days and 8.7 Hours
Microbiota dysbiosis has been reported in patients with ulcerative colitis (UC).
The role of the microbiota in predicting UC has rarely been reported.
To evaluate the predictive power of fecal bacteria and bacteriophages for diagnosing UC in children.
Metagenomic analysis of bacterial and bacteriophage DNA in the stool of children with newly diagnosed UC. The area under the curve (AUC) was calculated to evaluate the predictive power of the total bacteria and bacteriophages, and random forest analysis was used to identify important microbes for distinguishing UC patients from controls.
The discriminatory power of the entire bacterial species (AUC: 89.5%) and bacteriophages (AUC: 87.4%) was very high. The random forest classification algorithm analysis revealed the excellent predictive power of important bacterial species (AUC: 97.6%) and bacteriophages (AUC: 94.5%).
The very high to excellent AUCs of fecal bacterial and viral species indicate the potential for the development of noninvasive microbiota-based tests for the diagnosis of UC in children. In addition, the identification of important bacteria and bacteriophages whose abundance is reduced in children with UC suggests the potential of preventive and adjuvant microbial therapy for UC.
Future research in this area with larger sample sizes is needed to clarify the role of the microbiota in the diagnosis, prevention, and treatment of UC.