Prediction of response of collagen-induced arthritis rats to methotrexate: An (1)H-NMR-based urine metabolomic analysis / 华中科技大学学报(医学)(英德文版)
Journal of Huazhong University of Science and Technology (Medical Sciences)
; (6): 438-43, 2012.
Artículo
en Inglés
| WPRIM (Pacífico Occidental)
| ID: wpr-635549
Biblioteca responsable:
WPRO
ABSTRACT
Over one half the patients with rheumatoid arthritis (RA) are being treated with methotrexate (MTX). Although well proven, the efficacy of MTX varies in individual patients. This study examined the metabolic biomarkers that can be used to predict the therapeutic effect of MTX by using metabolomic analysis. Rats were immunized with collagen to rapidly cause collagen-induced arthritis (CIA) and then treated with 0.1 mg/kg MTX for 4 weeks. The clinical signs and the histopathological features of CIA were observed to evaluate the therapeutic effects. Urine samples of CIA rats were collected, and analyzed by using 600 M (1)H-nuclear magnetic resonance ((1)H-NMR) for spectral binning after the therapy. The urine spectra were divided into spectral bins, and 20 endogenous metabolites were assigned by Chenomx Suite. Multivariate analyses were performed to identify the spectral pattern of endogenous metabolites related to MTX therapy. The results showed that the clustering of the spectra of the urine samples from the responsive rats (n=20) was different from that from the non-responsive rats (n=11). Multivariate analysis showed difference in metabolic profiles between the responsive and non-responsive rats by using partial least squares-discrimination analysis (PLS-DA) (R(2)=0.812, Q(2)=0.604). In targeted profiling, 13 endogenous metabolites (uric acid, taurine, histidine, methionine, glycine, etc.) were selected as putative biomarkers for predicting therapeutic response to MTX. It was suggested that (1)H-NMR-based metabolomic analysis can be used to predict the therapeutic effect of MTX, and several metabolites were found to be related to the therapeutic effects of MTX.
Texto completo:
Disponible
Base de datos:
WPRIM (Pacífico Occidental)
Tipo de estudio:
Estudio pronóstico
Idioma:
Inglés
Revista:
Journal of Huazhong University of Science and Technology (Medical Sciences)
Año:
2012
Tipo del documento:
Artículo