Lipoprotein subclasses and particle size determined by nuclear magnetic resonance spectroscopy in systemic lupus erythematosus

2008 ◽  
Vol 27 (10) ◽  
pp. 1227-1233 ◽  
Author(s):  
Cecilia P. Chung ◽  
Annette Oeser ◽  
Paolo Raggi ◽  
Joseph F. Solus ◽  
Ingrid Avalos ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Nuclear Magnetic Resonance ◽  
Particle Size ◽  
Magnetic Resonance ◽  
Magnetic Resonance Spectroscopy ◽  
Nuclear Magnetic Resonance Spectroscopy ◽  
Lupus Erythematosus ◽  
Resonance Spectroscopy ◽  
Systemic Lupus ◽  
Lipoprotein Subclasses

Early Diagnosis of Neuropsychiatric Systemic Lupus Erythematosus by Deep Learning Enhanced Magnetic Resonance Spectroscopy

2021 ◽  
Vol 11 (5) ◽  
pp. 1341-1347
Author(s):  
Xin Li ◽  
Lu Bai ◽  
Zuhao Ge ◽  
Zhizhe Lin ◽  
Xi Yang ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Magnetic Resonance ◽  
Early Diagnosis ◽  
Magnetic Resonance Spectroscopy ◽  
Lupus Erythematosus ◽  
Support Vector ◽  
Resonance Spectroscopy ◽  
Systemic Lupus ◽  
Proton Mrs ◽  
Neuropsychiatric Systemic Lupus Erythematosus

The neuropsychiatric systemic lupus erythematosus (NPSLE) has higher disability and mortality rates, which is one of the main causes of death in systemic lupus erythematosus (SLE) patients. Magnetic resonance spectroscopy (MRS) can detect the changes of metabolites in different intracranial areas in vivo in patients with SLE, so as to provide evidence for the early diagnosis of NPSLE. Different from the conventional single-voxel MRS, which can only screen one brain region with one metabolic change, we simultaneously detect 13 kinds of intracranial metabolic changes in nine brain regions by multivoxel proton MRS (MVS). We use a recursive feature elimination algorithm to select the most related metabolites for better identifying NPSLE. To accurately diagnosis NPSLE by these intracranial metabolites, we train a support vector machine deep stacked network (SVM-DSN) for quantitative analysis of these metabolites. Comparing with the conventional statistic method, which is about 70% of accuracy, the proposed model achieves 97.5% of accuracy for NPSLE diagnosis. We conclude the trained SVM-DSN can effectively analyze the metabolites obtained by multivoxel proton MRS for NPSLE diagnosis, which may help to early diagnosis and intervention of NPSLE, and alleviate the bias of manual screening.

Nuclear Magnetic Resonance Lipoprotein Subclasses and the APOE Genotype Influence Carotid Atherosclerosis in Patients with Systemic Lupus Erythematosus

2010 ◽  
Vol 37 (11) ◽  
pp. 2259-2267 ◽  
Author(s):  
MARTA GONZÀLEZ ◽  
JOSEP RIBALTA ◽  
GLÒRIA VIVES ◽  
SIMONA IFTIMIE ◽  
RAIMÓN FERRÉ ◽  
...  
Keyword(s):  
Systemic Lupus Erythematosus ◽  
Nuclear Magnetic Resonance ◽  
Magnetic Resonance ◽  
Lupus Erythematosus ◽  
Carotid Atherosclerosis ◽  
Apoe Genotype ◽  
Density Lipoprotein ◽  
Systemic Lupus ◽  
Lipoprotein Subclasses ◽  
Nuclear Magnetic

Objective.Patients with systemic lupus erythematosus (SLE) have accelerated atherosclerosis. Since the conventional lipid profile (total plasma cholesterol, triglycerides, low and high density lipoprotein cholesterol) is not consistently altered in SLE, we hypothesized that investigation of lipoprotein subclasses would improve prediction of risk of atherosclerosis in these patients.Methods.As a quantitative index of atherosclerosis, we measured the carotid intima-media thickness (IMT) in 68 patients with SLE and related the atherosclerosis to a detailed lipoprotein profile generated using nuclear magnetic resonance (NMR). We measured the cholesterol transported by the pool of remnant lipoproteins (RLPc) and evaluated the modulatory effect of the APOE genotype on the lipoprotein subclass profile and atherosclerosis associated with SLE.Results.Circulating lipoprotein remnant particles [RLPc and intermediate density lipoprotein (IDL)] were positively correlated with IMT, and among them, the indicator that explained 20.2% of the variability in carotid atherosclerosis measured in these patients was IDL, as assessed by NMR. Carriers of the APOE2 allele were at increased risk due to a significant accumulation of IDL particles.Conclusion.Lipoprotein subclasses are more associated with subclinical atherosclerosis in patients with SLE than the lipid variables that are routinely measured. The IDL fraction, which is significantly modulated by the APOE genotype, is the most strongly, significantly, and positively correlated with IMT.

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