Citation: BAI Dong, SONG Jian-Nan. Study of Metabolic Biomarkers in Plasma of Patients with Dyslipidemia Based on Gas Chromatography-Mass Spectrometry and Graphical Models[J]. Chinese Journal of Analytical Chemistry, ;2012, 40(10): 1482-1487. doi: 10.3724/SP.J.1096.2012.20012 shu

Study of Metabolic Biomarkers in Plasma of Patients with Dyslipidemia Based on Gas Chromatography-Mass Spectrometry and Graphical Models

BAI Dong ,
SONG Jian-Nan ^,

1.
Institute of Basic Theory, China Academic of Chinese Medicine Sciences, Beijing 100700, China

Corresponding author: SONG Jian-Nan,
Received Date: 6 January 2012
Available Online: 26 March 2012
Fund Project: 本文系国家自然科学基金(No.90709008)资助项目 (No.90709008)

To explore the plasma metabolite profiles in patients with dyslipidemia and seek for the metabolic biomarkers of the disease, the plasma metabolite profiles of 37 patients and 10 healthy people were analyzed by gas chromatography-mass spectrometry (GC-MS). Partial least squares-discriminant analysis (PLS-DA) was employed to perform the pattern recognition analysis of the data. The concentrations in plasma of 9 metabolites were found out with significant differences between patients with dyslipidemia and healthy people (p＜0.05) .They were identified as valine, glycine, alanine, pyroglutamic acid, glucuronic acid, galactose, mannose, linoleic acid and glycerol by searching in NIST database. The concentrations of 8 metabolites in plasma of patients with dyslipidemia were less than those of healthy people, while the glycerol`s was higher. The plasma metabolic biomarkers showed good correlation with the diagnostic criteria of dyslipidemia analyzed graphical models. Compared with healthy people, these 9 metabolites showing abnormal assembling in patients with dyslipidemia, and they might be the diagnostic and prognostic special metabolic biomarkers.
- Dyslipidemia,
- Gas chromatography-mass spectrometry,
- Graphical models,
- Metabolomic
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