| HDL quality features revealed by proteome-lipidome connectivity are associated with atherosclerotic disease |
| 論文作者 |
Wang, DD; Yu, BL; Li, QR; Guo, YH; Koike, T; Koike, Y; Wu, QQ; Zhang, JF; Mao, L; Tang, XY; Sun, L; Lin, X; Wu, JR; Chen, YE; Peng, DQ; Zeng, R |
| 期刊/會議名稱 |
JOURNAL OF MOLECULAR CELL BIOLOGY |
| 論文年度 |
2022 |
| 論文類別 |
Article |
| 摘要 |
Lipoprotein, especially high-density lipoprotein (HDL), particles are composed of multiple heterogeneous subgroups containing various proteins and lipids. The molecular distribution among these subgroups is closely related to cardiovascular disease (CVD). Here, we established high-resolution proteomics and lipidomics (HiPL) methods to depict the molecular profiles across lipoprotein (Lipo-HiPL) and HDL (HDL-HiPL) subgroups by optimizing the resolution of anion-exchange chromatography and comprehensive quantification of proteins and lipids on the omics level. Furthermore, based on the Pearson correlation coefficient analysis of molecular profiles across high-resolution subgroups, we achieved the relationship of proteome-lipidome connectivity (PLC) for lipoprotein and HDL particles. By application of these methods to high-fat, high-cholesterol diet-fed rabbits and acute coronary syndrome (ACS) patients, we uncovered the delicate dynamics of the molecular profile and reconstruction of lipoprotein and HDL particles. Of note, the PLC features revealed by the HDL-HiPL method discriminated ACS from healthy individuals better than direct proteome and lipidome quantification or PLC features revealed by the Lipo-HiPL method, suggesting their potential in ACS diagnosis. Together, we established HiPL methods to trace the dynamics of the molecular profile and PLC of lipoprotein and even HDL during the development of CVD. |
| 期 |
3 |
| 卷 |
14 |
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