COMBINED METABOLOMIC AND METAGENOMIC ANALYSIS REVEALS IBD DIVERSITY IN PEDIATRIC AND ADULT PATIENTS
Description
Comparative analysis revealed significant age-related differences in the abundance of Bacteroidota, with pediatric IBD patients showing a lower prevalence compared to adults. Microbial profiling identified Streptococcus salivarius and Escherichia coli as potential biomarkers for assessing IBD risk in children. Furthermore, metagenomic analysis uncovered five microbial signatures with diagnostic potential for Crohn’s disease (CD): Ralstonia insidiosa, Stenotrophomonas maltophilia, Erysipelatoclostridium ramosum, Blautia sp., and Coprococcus comes. Using comprehensive metabolomic profiling, we developed and validated novel risk prediction algorithms for pediatric IBD. The CD risk stratification model identifies high-risk patients based on two key biomarkers: an elevated IBD risk coefficient score and reduced levels of 1H-Indole-3-methyl-. The ulcerative colitis (UC) risk prediction model incorporates three metabolic biomarkers indicative of increased disease risk: an elevated risk coefficient score, increased acetate levels, decreased pentanoic acid, and altered excretion of p-cresol (4-methylphenol). State funding for the «IBD-ONCO 25-27» project Registration number of R&D 125030703327-1
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Institutions
- Institut obsej genetiki imeni N I Vavilova RAN
- Pervyj Moskovskij gosudarstvennyj medicinskij universitet imeni I M Secenova
- Federal'nyj naucno-kliniceskij centr fiziko-himiceskoj mediciny