作者: Aalim M. Weljie , Reza Dowlatabadi , B. Joan Miller , Hans J. Vogel , Frank R. Jirik
DOI: 10.1021/PR070123J
关键词:
摘要: Rheumatoid arthritis, a debilitating, systemic inflammatory joint disease, is likely accompanied by alterations in circulating metabolites. Here, an 1H NMR spectroscopy-based metabolomics approach was developed to establish metabolic ‘biomarker pattern' model of rheumatoid the K/BxN transgenic mouse. Sera obtained from arthritic mice (N = 15) and control population 19) having same genetic background, but lacking arthritogenic T-cell receptor KRN transgene, were compared spectroscopy. A unique method combining technologies such as ultrafiltration remove proteins serum samples, quantitative ‘targeted profiling' known metabolites, pseudo-quantitative profiling unknown resonances, supervised O-PLS-DA pattern recognition analysis, metabolic-pathway based network analysis for interpretation results. In total, 88 spectral features profiled (59 metabolites 28 resonances). highly significant subset 18 s...