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. 2018 Jan 2;8(2):647-654.
doi: 10.1039/c7ra09353e.

Lipidomic characterisation discovery for coronary heart disease diagnosis based on high-throughput ultra-performance liquid chromatography and mass spectrometry

Chang Liu  1 , Wen-Jing Zong  1   2 , Ai-Hua Zhang  1 , Hua-Min Zhang  2 , Yi-Han Luan  2 , Hui Sun  1 , Hong-Xin Cao  2 , Xi-Jun Wang  1
Affiliations

Lipidomic characterisation discovery for coronary heart disease diagnosis based on high-throughput ultra-performance liquid chromatography and mass spectrometry

Chang Liu et al. RSC Adv. .

Abstract

Although many diagnostic tools have been developed for coronary heart disease (CHD), its diagnosis is still challenging. Lipids play an important role in diseases and a lipidomics approach could offer a platform to clarify the pathogenesis and pathologic changes of this disease. To the best of our knowledge, no lipidomics studies on serum have been attempted to improve the diagnosis and identify the potential biomarkers of CHD. The aim of this study was to investigate the distinctive lipid changes in serum samples of CHD patients and to identify candidate biomarkers for the reliable diagnosis of CHD using this platform. In this study, the serum lipid profiles of CHD patients were measured via ultra-performance liquid chromatography-G2-Si-high definition mass spectrometry combined with multivariate data analysis. A MetaboAnalyst tool was used for the analysis of the receiver operating-characteristic, while the IPA software was applied for the pathway analysis. The obtained results inferred that 33 lipid molecular species involving 6 fatty acids, 21 glycerophospholipids and 6 sphingolipids have significant differences in the serum of CHD patients. Simultaneously, 4 upstream regulatory proteins related to lipid metabolism disorders of CHD were predicted. Ten lipids have high clinical diagnostic significance according to the receiver operating-characteristic curves. This research shows that the in-depth study of lipids in the serum contributes to the clinical diagnosis of CHD and interprets the occurrence and development of CHD.

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Conflict of interest statement

The authors declare that there is no financial interest in relation to the publication of this paper.

Figures

Fig. 1
Fig. 1. Lipid profiles based on UPLC-G2-Si-HDMS and multivariate data analysis. (A, E) Lipid profiles of healthy people; (B, F) lipid profiles of CHD patients; (C, G) 2D score plot of PCA; (D, H) VIP plot of OPLS-DA. (A–D) Positive ion mode; (E–H) negative ion mode.
Fig. 2
Fig. 2. Expression of each lipid between CHD patients and healthy people and heat map of differential lipids by statistical analysis (**P < 0.05).
Fig. 3
Fig. 3. Receiver operating-characteristic (ROC) curves of lipids with top 10 AUC values (A–J) and all 33 lipid combined ROC curves (K).
Fig. 4
Fig. 4. Interaction network of lipid metabolism in coronary heart disease.
See this image and copyright information in PMC

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