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IBD Prediction Is Possible, but How Far Are We from Implementing It?
Williams Turpin1,2, Hamed Kalili3, Jonas Halfvarson4
1Zane Cohen Centre for Digestive Diseases, Lunenfeld Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, M5G 1X5, Canada.
Researchers are identifying early biomarkers for inflammatory bowel diseases (IBD), like Crohn's disease and ulcerative colitis. These preclinical indicators, including genetics and proteomics, could enable early detection and prevention strategies for IBD.
Area of Science:
- Gastroenterology and Immunology
- Biomarker Discovery
- Disease Pathophysiology
Background:
- Inflammatory bowel diseases (IBD), including Crohn's disease and ulcerative colitis, are chronic gastrointestinal disorders with complex and incompletely understood causes.
- Identifying preclinical biomarkers is crucial for predicting and potentially preventing IBD.
- Existing research explores a wide array of potential biomarkers.
Purpose of the Study:
- To review current research on preclinical biomarkers for IBD.
- To discuss the application of these biomarkers for early detection and risk stratification.
- To highlight the potential for personalized IBD prevention strategies.
Main Methods:
- Review of existing literature on IBD biomarkers.
- Analysis of genetic, gut permeability, microbiome, proteomic, and metabolomic data.
- Discussion of integrative risk score development.
Main Results:
- Proteomic markers (e.g., CXCL9, MMP-10) and pre-diagnostic metabolic changes show promise for IBD.
- Multiomic data combined with demographic/lifestyle factors can inform personalized risk prediction.
- Challenges include biomarker data complexity and variability.
Conclusions:
- Preclinical biomarkers offer significant potential for early IBD detection and risk stratification.
- Integrative approaches and validated predictive models are key to proactive IBD prevention.
- Continued research and clinical trials are essential to realize the potential of early risk prediction for reducing IBD incidence.
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