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Urine metabolome profiling of immune-mediated inflammatory diseases

Authors :
Arnald Alonso, Antonio Juliá
Vinaixa, María
Domènech, Eugeni
Fernández-Nebro, Antonio
Cañete, Juan D.
Ferrándiz, Carlos
Tornero, Jesús
Gisbert
Nos, PIlar
Gutiérrez Casbas, Ana
Puig, Lluís
González-Álvaro, Isidoro
Pinto-Tasende, José A.
Blanco, Ricardo
Rodríguez, Miguel A.
Beltrán, Antoni
Correig, Xavier
Marsal, Sara
Arnald Alonso, Antonio Juliá
Vinaixa, María
Domènech, Eugeni
Fernández-Nebro, Antonio
Cañete, Juan D.
Ferrándiz, Carlos
Tornero, Jesús
Gisbert
Nos, PIlar
Gutiérrez Casbas, Ana
Puig, Lluís
González-Álvaro, Isidoro
Pinto-Tasende, José A.
Blanco, Ricardo
Rodríguez, Miguel A.
Beltrán, Antoni
Correig, Xavier
Marsal, Sara
Publication Year :
2016

Abstract

[Abstract] Background, Immune-mediated inflammatory diseases (IMIDs) are a group of complex and prevalent diseases where disease diagnostic and activity monitoring is highly challenging. The determination of the metabolite profiles of biological samples is becoming a powerful approach to identify new biomarkers of clinical utility. In order to identify new metabolite biomarkers of diagnosis and disease activity, we have performed the first large-scale profiling of the urine metabolome of the six most prevalent IMIDs: rheumatoid arthritis, psoriatic arthritis, psoriasis, systemic lupus erythematosus, Crohn’s disease, and ulcerative colitis. Methods, Using nuclear magnetic resonance, we analyzed the urine metabolome in a discovery cohort of 1210 patients and 100 controls. Within each IMID, two patient subgroups were recruited representing extreme disease activity (very high vs. very low). Metabolite association analysis with disease diagnosis and disease activity was performed using multivariate linear regression in order to control for the effects of clinical, epidemiological, or technical variability. After multiple test correction, the most significant metabolite biomarkers were validated in an independent cohort of 1200 patients and 200 controls. Results, In the discovery cohort, we identified 28 significant associations between urine metabolite levels and disease diagnosis and three significant metabolite associations with disease activity (PFDR < 0.05). Using the validation cohort, we validated 26 of the diagnostic associations and all three metabolite associations with disease activity (PFDR < 0.05). Combining all diagnostic biomarkers using multivariate classifiers we obtained a good disease prediction accuracy in all IMIDs and particularly high in inflammatory bowel diseases. Several of the associated metabolites were found to be commonly altered in multiple IMIDs, some of which can be considered as hub biomarkers. The analysis of the metabolic reactions conn

Details

Database :
OAIster
Notes :
1741-7015, http://hdl.handle.net/2183/25243, Alonso A,. Juliá A, Vinaixa M, Domènech E, Fernández-Nebro A, Cañete JD, et al. Urine metabolome profiling of immune-mediated inflammatory diseases. BMC Med. 2016;14(1): 133, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1159431435
Document Type :
Electronic Resource