Analytical and Bioanalytical Chemistry

, Volume 406, Issue 2, pp 555–564

Lipidomic profiling of plasma in patients with chronic hepatitis C infection

Research Paper

DOI: 10.1007/s00216-013-7479-8

Cite this article as:
Qu, F., Zheng, SJ., Wu, CS. et al. Anal Bioanal Chem (2014) 406: 555. doi:10.1007/s00216-013-7479-8

Abstract

Chronic hepatitis C virus (HCV) infection is a global health issue. Although its progression is reported to be closely associated with lipids, the way in which the plasma lipidome changes during the development of chronic HCV infection in humans is currently unknown. Using an improved quantitative high-throughput lipidomic platform, we profiled 284 lipids in human plasma samples obtained from healthy controls (n = 11) and patients with chronic HCV infection (n = 113). The intrahepatic inflammation grade (IG) of liver tissue was determined by biopsy. Two types of mass spectrometers were integrated into a single lipidomic platform with a wide dynamic range. Compared with previous methods, the performance of this method was significantly improved in terms of both the number of target sphingolipids identified and the specificity of the high-resolution mass spectrometer. As a result, 44 sphingolipids, one diacylglycerol, 43 triglycerides, 24 glycerophosphocholines, and 5 glycerophospho-ethanolamines were successfully identified and quantified. The lipid profiles of individuals with chronic HCV infection were significantly different from those of healthy individuals. Several lipids showed significant differences between mild and severe intrahepatic inflammation grades, indicating that they could be utilized as novel noninvasive indicators of intrahepatic IG. Using multivariate analysis, healthy controls could be discriminated from HCV patients based on their plasma lipidome; however, patients with different IGs were not well discriminated. Based on these results, we speculate that variations in lipid composition arise as a result of HCV infection, and are caused by HCV-related digestive system disorders rather than progression of the disease.

Figure

Flowchart of the lipidomic platform

Keywords

Lipidomics Hepatitis C virus Plasma Clinical analysis Intrahepatic inflammation grade 

Abbreviations

DG

Diacylglycerol

HCV

Hepatitis C virus

HPLC-MS

High-performance liquid chromatography tandem mass spectrometry

HRMS

High-resolution mass spectrometry

IG

Inflammation grade

LDA

Lipid data analyzer

LTQ-FT

Hybrid ion trap–Fourier transform mass spectrometry

MS

Mass spectrometry

MTBE

Methyl-tert-butyl ether

OPLS-DA

Orthogonal partial least squares discriminant analysis

PC

Glycerophosphocholine

PE

Glycerophosphoethanolamine

QC

Quality control

QQQ

Triple quadrupole mass spectrometry

SM

Sphingomyelin

TG

Triglyceride

Supplementary material

216_2013_7479_MOESM1_ESM.pdf (703 kb)
ESM 1(PDF 703 kb)

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia MedicaChinese Academy of Medical Sciences & Peking Union Medical CollegeBeijingChina
  2. 2.Artificial Liver Center, Beijing YouAn HospitalCapital Medical UniversityBeijingChina

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