Jing Xian Fang, Hui Min Zou, Jian Meng, Yu Han, Xue Hu, Qing Gu, Sui Jun Wang, Xing Zhen Liu
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引用次数: 0
Abstract
Circulating triglyceride (TG) and leukocytes, the main components of the vascular system, may impact each other and co-fuel atherosclerosis. While the causal relationship between plasma TG levels and leukocyte counts remains unclear. Bidirectional Mendelian randomization (MR) analysis was conducted to investigate the potential causal relationship between TG levels and the counts of leukocytes and their subtypes. A cross-lagged panel model (CLPM) using longitudinal healthy screening data (13,389 adults with a follow-up of 4 years) was fitted to examine the temporal relationship between them. Genetically predicted plasma TG levels were positively associated with total leukocyte counts (TLC) [β(se) = 0.195(0.01)], lymphocyte counts (LC) [β(se) = 0.196(0.019)], and neutrophil counts (NC) [β(se) = 0.086(0.01)], which remained significant after adjusting for several confounders. Inversely, the genetically predicted TLC [β(se) = 0.033(0.008)], LC [β(se) = 0.053(0.008)], and NC [β(se) = 0.034(0.008)] were positively associated with plasma TG levels. However, when all three of them were put into the MR model adjusted for each other, only LC was significantly associated with TG levels. There was no association between genetically predicted TG levels and monocyte counts (MC), basophil counts, and eosinophil counts. The results of CLPM showed that the temporal effect of elevated TLC, MC, LC, and NC on plasma TG levels was stronger than the inverse effect. Our findings suggest causal associations of plasma TG levels with TLC, LC, and NC. In turn, LC was positively associated with plasma TG levels. Additionally, elevated circulating LC may precede high plasma TG levels.
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.