Association of antioxidized low-density lipoprotein antibodies with vascular arterial events and renal manifestations in systemic lupus erythematosus patients: Comment on the article by Frostegård et al

2006 ◽  
Vol 54 (6) ◽  
pp. 2035-2036 ◽  
Author(s):  
Ana M. Bertoli ◽  
Mónica Fernández ◽  
Gerald McGwin ◽  
John D. Reveille ◽  
Graciela S. Alarcón ◽  
...  
2020 ◽  
Vol 72 (6) ◽  
pp. 972-984 ◽  
Author(s):  
Hua‐Chen Chan ◽  
Hsiu‐Chuan Chan ◽  
Chan‐Jung Liang ◽  
Hsiang‐Chun Lee ◽  
Hung Su ◽  
...  

Lupus ◽  
2011 ◽  
Vol 20 (13) ◽  
pp. 1411-1420 ◽  
Author(s):  
X Ouyang ◽  
Y Dai ◽  
JL Wen ◽  
LX Wang

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 1H 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. Theresults 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.


Sign in / Sign up

Export Citation Format

Share Document