¹H NMR-based metabolomic study of metabolic profiling for systemic lupus erythematosus

Lupus. 2011 Nov;20(13):1411-20. doi: 10.1177/0961203311418707. Epub 2011 Oct 5.


Systemic lupus erythematosus (SLE) is a chronic inflammatory disease characterized by multi-system involvement, diverse clinical presentation, and alterations in circulating metabolites. In this study, a (1)H NMR spectroscopy-based metabolomics approach was applied to establish a human SLE serum metabolic profile. Serum samples were obtained from patients with SLE (n = 64), patients with rheumatoid arthritis (RA) (n = 30) and healthy controls (n = 35). The NOESYPR1D spectrum combined with multi-variate pattern recognition analysis was used to cluster the groups and establish a disease-specific metabolites phenotype. Principal component analysis (PCA) and orthogonal partial least-squares discriminant analysis (OPLS-DA) models were capable of distinguishing SLE or RA patients from healthy subjects. The OPLS-DA model was able to predict diagnosis of SLE with a sensitivity rate of 60.9% and a specificity rate of 97.1%. For diagnosing RA, the model has much higher sensitivity (96.7%) and specificity (91.4%). The SLE serum samples were characterized by reduced concentrations of valine, tyrosine, phenylalanine, lysine, isoleucine, histidine, glutamine, alanine, citrate, creatinine, creatine, pyruvate, high-density lipoprotein, cholesterol, glycerol, formate and increased concentrations of N-acetyl glycoprotein, very low-density lipoprotein and low-density lipoprotein in comparison with the control population. The results not only indicated that serum NMR-based metabolomic methods had sufficient sensitivity and specificity to distinguish SLE and RA from healthy controls, but also have the potential to be developed into a clinically useful diagnostic tool, and could also contribute to a further understanding of disease mechanisms.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Arthritis, Rheumatoid / blood
  • Arthritis, Rheumatoid / diagnosis
  • Arthritis, Rheumatoid / physiopathology
  • Discriminant Analysis
  • Female
  • Humans
  • Least-Squares Analysis
  • Lupus Erythematosus, Systemic / blood*
  • Lupus Erythematosus, Systemic / diagnosis
  • Lupus Erythematosus, Systemic / physiopathology
  • Male
  • Metabolome*
  • Metabolomics / methods*
  • Middle Aged
  • Nuclear Magnetic Resonance, Biomolecular
  • Phenotype
  • Principal Component Analysis