期刊
JOURNAL OF PROTEOME RESEARCH
卷 9, 期 9, 页码 4545-4553出版社
AMER CHEMICAL SOC
DOI: 10.1021/pr1002774
关键词
metabonomics; phenotyping; NMR; rheumatoid arthritis; chemometrics; disease monitoring; personalized medicine
资金
- Oak Foundation
- Velux Fonden
- Danish Rheumatism Association
- Aase og Ejnar Danielsens Fond
- Direktor Jacob Madsen og Hustru Olga Madsens Fond
- Medical Research Council [G0801056B] Funding Source: researchfish
H-1 NMR spectroscopy-based metabolic phenotyping was used to identify biomarkers in the plasma of patients with rheumatoid arthritis (RA). Forty-seven patients with RA (23 with active disease at baseline and 24 in remission) and 51 healthy subjects were evaluated during a one-year follow-up with assessments of disease activity (DAS-28) and H-1 NMR spectroscopy of plasma samples. Discriminant analysis provided evidence that the metabolic profiles predicted disease severity. Cholesterol, lactate, acetylated glycoprotein, and lipid signatures were found to be candidate biomarkers for disease severity. The results also supported the link between RA and coronary artery disease. Repeated assessment using mixed linear models showed that the predictors obtained from metabolic profiles of plasma at baseline from patients with active RA were significantly different from those of patients in remission (P = 0.0007). However, after 31 days of optimized therapy, the two patient groups were not significantly different (P = 0.91). The metabolic profiles of both groups of RA patients were different from the healthy subjects. H-1 NMR-based metabolic phenotyping of plasma samples in patients with RA is well suited for discovery of biomarkers and may be a potential approach for disease monitoring and personalized medication for RA therapy.
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