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应用核磁共振技术对类风湿关节炎血清代谢物图谱研究

欧阳昕 文锦丽 彭武建 齐素文 王红蕾 戴勇

中华临床免疫和变态反应杂志2011,Vol.5Issue(4):283-287,5.
中华临床免疫和变态反应杂志2011,Vol.5Issue(4):283-287,5.

应用核磁共振技术对类风湿关节炎血清代谢物图谱研究

Applying Metabolomics in the Diagnosis of Rheumatoid Arthritis

欧阳昕 1文锦丽 1彭武建 1齐素文 1王红蕾 1戴勇1

作者信息

  • 1. 暨南大学第二临床医学院深圳市人民医院临床研究中心,深圳518020
  • 折叠

摘要

Abstract

Objective Using nuclear magnetic resonance ( NMR) spectroscopy that depended on metabolomics approach to investigate the characteristic metabolites phenotype in serum from patients with rheumatoid arthritis. Methods 65 serum samples were collected including 30 RA patients and 35 healthy controls. Serum metabolites spectroscopy were obtained with 600 mHz NMR, the difference of serum metabolic profiles of RA patients were identified and consequently the diagnosis models were established combined with pattern recognizable methods. Results Diversities occurred in the metabolism of carbohydrate, lipids, amino acids and energy in RA patients according to metabolic profiles. Principal component analysis ( PCA) model is capable of distinguishing RA from healthy control. Partial least-squares discriminant analysis (PLS-DA) model has a good interpretability (R2X = 64. 2% , R2Y = 7.16%) and predictability ( Q2 =0.652). And the sensitivity and specificity of Orthogonal PLS-DA (OPLS-DA) model is up to 96. 7% and 91.4% separately. Conclusion NMR involved in metabolomics approach has a great potential to be a new diagnosis tool for RA.

关键词

代谢组学/类风湿关节炎/核磁共振/血清/模式识别分析法/诊断模型

Key words

metabolomics/ rheumatoid arthritis/ nuclear magnetic resonance/ serum/ pattern recognition/ diagnosis model

分类

医药卫生

引用本文复制引用

欧阳昕,文锦丽,彭武建,齐素文,王红蕾,戴勇..应用核磁共振技术对类风湿关节炎血清代谢物图谱研究[J].中华临床免疫和变态反应杂志,2011,5(4):283-287,5.

中华临床免疫和变态反应杂志

OACSTPCD

1673-8705

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