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Abstract #2799

Linking Gut Microbiota-Metabolite Profiles with MRE Features to Advance a Multi-omics Diagnostic Model for Bowel Damage in Crohn’ s Disease

Lili Huang1, Jixin Meng1, Ruonan Zhang1, Xiaodi Shen1, Yangdi Wang1, Shiting Feng1, and Xuehua Li1
1Radiology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China

Synopsis

Keywords: Digestive, biomarkers, multi-omics

Motivation: Accurately diagnosing bowel damage (BD) in Crohn’s Disease (CD) is crucial, as BD reflects irreversible structural changes with high surgical risk, impacting patient prognosis.

Goal(s): To develop a diagnostic model integrating Magnetic Resonance Enterography (MRE) with gut microbiota and metabolomic profiles, enhancing BD assessment precision in CD.

Approach: A prospective study employing MRE, 16S rRNA sequencing, and targeted metabolomics to construct a multidimensional diagnostic model incorporating both structural imaging and molecular indicators of BD.

Results: The model achieved strong diagnostic accuracy in identifying BD, with correlation analyses revealing microbial and metabolic signatures associated with specific MRE features, further elucidating BD’ s biological characteristics.

Impact: This study bridges advanced MRE imaging with microbial and metabolic insights, providing clinicians with a more comprehensive diagnostic tool. It enables precise risk stratification in CD, paving the way for targeted, prognostic-driven interventions and more personalized patient care.

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