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Integrated Microbiota-Bile Acid Analysis as Potential NonInvasive Biomarkers for Ulcerative Colitis Staging Diagnose
Tianyu He1,2, Yun Wang1,2, Liang Zhao1,2
1State Key Laboratory of Natural Medicines, China Pharmaceutical University, Nanjing, P.R. China.
This study reveals that specific gut bacteria and bile acid ratios in ulcerative colitis (UC) patients can non-invasively track disease activity. These microbiome-bile acid profiles offer new diagnostic and therapeutic targets for UC.
Area of Science:
- Microbiology
- Metabolomics
- Gastroenterology
Background:
- Clinical staging of ulcerative colitis (UC) is challenging due to reliance on invasive endoscopic biopsies and poor patient compliance.
- Non-invasive biomarkers are needed for accurate monitoring of UC progression and activity.
Purpose of the Study:
- To explore a non-invasive, integrated biochemical index for quantitatively tracking UC pathological activity.
- To identify microbial and metabolic signatures associated with UC disease states.
Main Methods:
- Integrated analysis of metabolomic profiling, 16S rRNA, and metagenomic sequencing on serum and fecal samples.
- Comparison of samples from active UC patients, remission UC patients, and healthy controls.
- Analysis of bile acid profiles and their correlation with microbiome composition and UC activity.
Main Results:
- Several bile acid-transforming species correlated significantly with UC pathological activity.
- Identified bacterial gene markers related to secondary bile acid synthesis differentiated UC disease stages.
- Reduced serum deoxycholic acid (DCA)/cholic acid (CA) ratio and increased fecal ursodeoxycholic acid (UDCA)/chenodeoxycholic acid (CDCA) ratio were associated with UC activity.
- Serum/fecal bile acid ratios showed high accuracy in predicting UC outcomes.
Conclusions:
- Integrated microbiome-bile acid profiles can predict UC disease activity, offering a non-invasive diagnostic approach.
- Targeting microbiome-mediated gut flora and bile acid homeostasis may improve therapeutic efficacy for UC.
- These findings can enhance clinical diagnosis and optimize UC treatments.
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