Linjun Ao, Diana van Heemst, J Wouter Jukema, Patrick C N Rensen, Ko Willems van Dijk, Raymond Noordam
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引用次数: 0
Abstract
Background: Plasma 1-H nuclear magnetic resonance (1H-NMR) metabolomic measures have yielded significant insight into the pathophysiology of cardiometabolic disease, but their interrelated nature complicates causal inference and clinical interpretation. This study aimed to investigate the associations of unrelated 1H-NMR metabolomic profiles with coronary artery disease (CAD) and ischemic stroke (ISTR).
Methods: Principal component analysis was performed on 168 1H-NMR metabolomic measures in 56,712 unrelated European participants from UK Biobank to retrieve uncorrelated principal components (PCs), which were used in Cox-proportional hazard models. For each outcome, two-sample Mendelian randomization (MR) analyses were then conducted based on three non-overlapping databases, followed by a meta-analysis.
Results: The first six PCs collectively explaining 88% of the total variance were identified. For CAD, results from Cox and MR analyses were generally directionally consistent. The pooled odds ratios (ORs) [95% CI] for CAD per one-SD increase in genetically-influenced PC1 and PC3 (both characterized by distinct ApoB-associated lipoprotein profiles) were 1.04 [1.03, 1.05] and 0.94 [0.93, 0.96], respectively. Besides, the pooled OR [95% CI] for CAD per one-SD increase in genetically-influenced PC4, characterized by simultaneously decreased small HDL and increased large HDL, and independent of ApoB, was 1.05 [1.03, 1.07]. For ISTR, increases of PC3 and PC5 (characterized by increased amino acids) were associated with a lower risk and a higher risk, respectively.
Conclusions: This study confirms associations of ApoB-associated lipoprotein profiles with CAD and ISTR, and highlights the possible existence of an ApoB-independent lipoprotein profile, characterized by a distinctive HDL sub-particle distribution, driving CAD.
期刊介绍:
The Journal of Lipid Research (JLR) publishes original articles and reviews in the broadly defined area of biological lipids. We encourage the submission of manuscripts relating to lipids, including those addressing problems in biochemistry, molecular biology, structural biology, cell biology, genetics, molecular medicine, clinical medicine and metabolism. Major criteria for acceptance of articles are new insights into mechanisms of lipid function and metabolism and/or genes regulating lipid metabolism along with sound primary experimental data. Interpretation of the data is the authors’ responsibility, and speculation should be labeled as such. Manuscripts that provide new ways of purifying, identifying and quantifying lipids are invited for the Methods section of the Journal. JLR encourages contributions from investigators in all countries, but articles must be submitted in clear and concise English.