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Comprehensive Phenotyping in Inflammatory Bowel Disease: Search for Biomarker Algorithms in the Transkingdom
Ayelén D Rosso1,2,3,4, Pablo Aguilera2,3, Sofía Quesada1,2,3
1Laboratorio de Genómica Computacional (GeC-UNLu), Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján 6700, Argentina.
This study identifies unique gut microbial and epigenetic profiles in Inflammatory Bowel Disease (IBD) patients in Buenos Aires. These findings could lead to better diagnostic tools for ulcerative colitis (UC) and Crohn
Area of Science:
- Gastroenterology
- Microbiome Research
- Epigenetics
Background:
- Inflammatory Bowel Disease (IBD), encompassing ulcerative colitis (UC) and Crohn's disease (CD), presents diagnostic challenges due to its heterogeneity.
- IBD involves immune dysregulation against gut microbiota in genetically susceptible individuals.
- Rising IBD incidence in developing regions highlights the need for accessible diagnostic methods.
Purpose of the Study:
- To characterize epigenetic biomarkers and gut microbial profiles in UC and CD patients in the Buenos Aires Metropolitan area.
- To identify differences between IBD patients and non-IBD controls.
- To develop enhanced diagnostic tools by integrating multi-omic data.
Main Methods:
- Analysis of epigenetic biomarkers and gut microbial composition in IBD patients and controls.
- Characterization of microbial metabolic functions and core microorganisms.
- Integration of multi-omic data (clinical, biochemical, epigenetic, microbial) for phenotype discrimination.
Main Results:
- Distinct epigenetic and gut microbial profiles were identified in IBD patients compared to controls.
- Differences in general metabolic functions and core microorganisms were observed.
- The study revealed significant variations between non-IBD controls and IBD patients.
Conclusions:
- This research provides novel insights into the gut microbiome and epigenetics of IBD in the Buenos Aires region.
- The findings support the development of advanced diagnostic tools for IBD phenotyping.
- Integration of trans-kingdom data offers a powerful approach for comprehensive patient stratification.
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