Untargeted Metabolomic Profiling of Colonic Mucosa in Individuals with Irritable Bowel Syndrome DOI Creative Commons
Patrycja Krynicka,

Mariusz Kaczmarczyk,

Karolina Skonieczna‐Żydecka

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(3), P. 629 - 629

Published: March 5, 2025

Background: Irritable Bowel Syndrome (IBS) is a complex disorder characterized by altered gut–brain interactions, with gastrointestinal microbiota and metabolic dysregulation playing key roles in its pathophysiology. Identifying specific alterations within the colonic mucosa may enhance our understanding of IBS contribute to improved diagnostic therapeutic approaches. Methods: This cross-sectional study analyzed metabolomic profiles mucosal biopsies from 44 patients assessed ROME IV criteria 69 healthy controls undergoing colonoscopy. Untargeted profiling was conducted using liquid chromatography–mass spectrometry (LC-MS), differential metabolite analysis performed via fold-change calculations machine learning-based classification. Results: exhibited distinct profiles, significantly elevated levels N-acetylneuraminic acid 1-palmitoylglycerol, suggesting compromised epithelial integrity increased gut permeability. In contrast, cis-4-hydroxycyclohexanecarboxylic acid, associated protective functions, reduced. Random Forest identified these metabolites as discriminatory features between control groups, reinforcing their potential role biomarkers for IBS-related alterations. Conclusions: Our highlights unique signatures at level, emphasizing microbial disease pathology. These findings facilitate development novel tools targeted strategies, advancing personalized management patients.

Language: Английский

Untargeted Metabolomic Profiling of Colonic Mucosa in Individuals with Irritable Bowel Syndrome DOI Creative Commons
Patrycja Krynicka,

Mariusz Kaczmarczyk,

Karolina Skonieczna‐Żydecka

et al.

Biomedicines, Journal Year: 2025, Volume and Issue: 13(3), P. 629 - 629

Published: March 5, 2025

Background: Irritable Bowel Syndrome (IBS) is a complex disorder characterized by altered gut–brain interactions, with gastrointestinal microbiota and metabolic dysregulation playing key roles in its pathophysiology. Identifying specific alterations within the colonic mucosa may enhance our understanding of IBS contribute to improved diagnostic therapeutic approaches. Methods: This cross-sectional study analyzed metabolomic profiles mucosal biopsies from 44 patients assessed ROME IV criteria 69 healthy controls undergoing colonoscopy. Untargeted profiling was conducted using liquid chromatography–mass spectrometry (LC-MS), differential metabolite analysis performed via fold-change calculations machine learning-based classification. Results: exhibited distinct profiles, significantly elevated levels N-acetylneuraminic acid 1-palmitoylglycerol, suggesting compromised epithelial integrity increased gut permeability. In contrast, cis-4-hydroxycyclohexanecarboxylic acid, associated protective functions, reduced. Random Forest identified these metabolites as discriminatory features between control groups, reinforcing their potential role biomarkers for IBS-related alterations. Conclusions: Our highlights unique signatures at level, emphasizing microbial disease pathology. These findings facilitate development novel tools targeted strategies, advancing personalized management patients.

Language: Английский

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