An untargeted metabolomic study using ...
Type de document :
Article dans une revue scientifique: Article original
PMID :
URL permanente :
Titre :
An untargeted metabolomic study using MALDI-mass spectrometry imaging reveals region-specific biomarkers associated with bowel inflammation
Auteur(s) :
Ponzoni, A. [Auteur]
Speca, Silvia [Auteur]
Institute for Translational Research in Inflammation - U 1286 [INFINITE]
Hartle, M. [Auteur]
Gerstenberg, A. [Auteur]
Tomezyk, A. [Auteur]
Senechal, V. [Auteur]
Karnik, S. [Auteur]
Dubuquoy, Laurent [Auteur]
Institute for Translational Research in Inflammation - U 1286 [INFINITE]
Launay, David [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
Deprez-Poulain, Rebecca [Auteur]
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Gaudin, M. [Auteur]
Ramos, C. [Auteur]
Deprez, Benoit [Auteur]
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Speca, Silvia [Auteur]
Institute for Translational Research in Inflammation - U 1286 [INFINITE]
Hartle, M. [Auteur]
Gerstenberg, A. [Auteur]
Tomezyk, A. [Auteur]
Senechal, V. [Auteur]
Karnik, S. [Auteur]
Dubuquoy, Laurent [Auteur]
Institute for Translational Research in Inflammation - U 1286 [INFINITE]
Launay, David [Auteur]
Institut de Recherche Translationnelle sur l'Inflammation (INFINITE) - U1286
Deprez-Poulain, Rebecca [Auteur]
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Gaudin, M. [Auteur]
Ramos, C. [Auteur]
Deprez, Benoit [Auteur]
Médicaments et molécules pour les systèmes vivants - U 1177 [M2SV]
Titre de la revue :
Metabolomics
Nom court de la revue :
Metabolomics
Numéro :
21
Pagination :
-
Éditeur :
Springer
Date de publication :
2024-12-29
ISSN :
1573-3882
Mot(s)-clé(s) en anglais :
Mass spectrometry imaging
Untargeted metabolomics
Colitis
Inflammatory bowel diseases
Biomarkers
Untargeted metabolomics
Colitis
Inflammatory bowel diseases
Biomarkers
Discipline(s) HAL :
Sciences du Vivant [q-bio]
Résumé en anglais : [en]
Inflammatory bowel diseases (IBDs) are chronic immune driven intestinal disorders with marked metabolic alteration. Mass spectrometry imaging (MSI) enables the direct visualization of biomolecules within tissues and ...
Lire la suite >Inflammatory bowel diseases (IBDs) are chronic immune driven intestinal disorders with marked metabolic alteration. Mass spectrometry imaging (MSI) enables the direct visualization of biomolecules within tissues and facilitates the study of metabolic changes. Integrating multiple spatial information sources is a promising approach for discovering new biomarkers and understanding biochemical alteration within the context of the disease. Objective This study evaluates the metabolomic changes in gut tissue samples from a preclinical model of spontaneous colitis, the HLA-B27/hβ2m transgenic rat, to uncover disease biomarkers. Methods We applied MSI to study the biochemical profile of bowel samples from HLA-B27/hβ2m transgenic and WT control rats in an unbiased manner. Statistical comparison was used to identify discriminative features. Some features were annotated using LC-MS/MS. The significance of these discriminative features was evaluated based on their distribution within histological layers and the presence of immune infiltration. Results We identified spatially resolved changes in the metabolomic pattern of HLA-B27+ samples compared to WT controls. Out of the 275 discriminative features identified, 83 were annotated as metabolites. Two functional groups of discriminative metabolites were discussed as markers of gut barrier impairment and immune cell infiltration. Conclusion MS imaging’s spatial dimension provides insights into disease mechanisms through the identification of spatially resolved biomarkers.Lire moins >
Lire la suite >Inflammatory bowel diseases (IBDs) are chronic immune driven intestinal disorders with marked metabolic alteration. Mass spectrometry imaging (MSI) enables the direct visualization of biomolecules within tissues and facilitates the study of metabolic changes. Integrating multiple spatial information sources is a promising approach for discovering new biomarkers and understanding biochemical alteration within the context of the disease. Objective This study evaluates the metabolomic changes in gut tissue samples from a preclinical model of spontaneous colitis, the HLA-B27/hβ2m transgenic rat, to uncover disease biomarkers. Methods We applied MSI to study the biochemical profile of bowel samples from HLA-B27/hβ2m transgenic and WT control rats in an unbiased manner. Statistical comparison was used to identify discriminative features. Some features were annotated using LC-MS/MS. The significance of these discriminative features was evaluated based on their distribution within histological layers and the presence of immune infiltration. Results We identified spatially resolved changes in the metabolomic pattern of HLA-B27+ samples compared to WT controls. Out of the 275 discriminative features identified, 83 were annotated as metabolites. Two functional groups of discriminative metabolites were discussed as markers of gut barrier impairment and immune cell infiltration. Conclusion MS imaging’s spatial dimension provides insights into disease mechanisms through the identification of spatially resolved biomarkers.Lire moins >
Langue :
Anglais
Audience :
Internationale
Vulgarisation :
Non
Établissement(s) :
Université de Lille
Inserm
CHU Lille
Inserm
CHU Lille
Date de dépôt :
2025-01-04T22:00:49Z
2025-01-15T09:21:48Z
2025-01-15T09:21:48Z
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