Plasma lipidomic biomarker analysis reveals distinct lipid changes in vascular dementia

Computational and Structural Biotechnology Journal
Yue LiuNady Braidy

Abstract

Vascular dementia (VaD) is a complex neurocognitive disorder secondary to a variety of cerebrovascular lesions. Numerous studies have shown that lipid metabolism is involved in the pathobiology of the disease. We examined the plasma lipid profiles in VaD, with the expectation of identifying reliable lipid biomarkers for VaD. 49 VaD patients and 48 healthy controls were recruited from Bankstown-Lidcombe Hospital in Sydney, Australia. Lipids were extracted by single phase 1-butanol/methanol, and untargeted analysis was performed by liquid chromatography coupled-mass spectrometry (LC-MS/MS). Univariate analysis of variance was used to examine the differences in lipid classes and individual lipids between VaD and control groups. In an independent sample of 161 subjects from the Older Australian Twins Study (OATS), elastic net penalization for the generalized linear model (Glmnet) and Random Forest were applied to the lipid levels to subcategorise the sample into vascular cognitive impairment and controls. Most lipids belonging to the classes of ceramides (Cer), cholesterol esters (ChE) and phospholipids were significantly lower in VaD plasma, while glycerides were elevated compared to controls. Levels of ChE, Cer and the two lipid ...Continue Reading

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Citations

Aug 28, 2020·Frontiers in Aging Neuroscience·Ghazala IqbalTouqeer Ahmed

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Methods Mentioned

BETA
deacylation

Software Mentioned

R
Excel
GLMnet
SPSS
caret
Random Forest
Lipidsearch
R package pROC

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