BACKGROUND Metabolic-related markers and inflammatory factors have been proved to be associated with increased risk of dyslipidemia. Elucidating the mechanisms underlying these associations might provide an important perspective for the prevention of dyslipidemia. In the present study, we aimed to explore the effect of metabolic-related markers on dyslipidemia, and to assess what extent inflammation mediating these associations. METHODS A total of 25,130 participants without dyslipidemia at baseline were included in the present study during 2010-2015. A partial least squares path model was used to explore possible pathways from metabolic-related markers to dyslipidemia, and the mediation role of inflammation. RESULTS Lipid metabolism factor, blood pressure factor, obesity condition factor, glucose metabolism factor, renal function factor and lifestyle factor had diverse impact on development of dyslipidemia, directly and (or) indirectly. Partial least squares path analysis revealed that the determination coefficient of the model (R2) was 0.52. Lipid metabolism factor, obesity condition factor, and glucose metabolism factor had both direct and indirect effect on dyslipidemia through inflammatory factor. Lipid metabolism factor was the most important risk factor (β = 0.68) in the prediction of dyslipidemia, followed by obesity condition factor (β = 0.06) and glucose metabolism factor (β = 0.03). CONCLUSIONS Metabolic-related markers are strong risk factors for dyslipidemia. Inflammatory factors have significant mediating effect on these relationships. These findings suggested that comprehensive intervention strategies on metabolic biomarkers and inflammatory factors should be taken into consideration in prevention and treatment of dyslipidemia.

中文翻译：

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代谢相关的标志物和炎性因子可预测城市汉族成年人血脂异常。

背景技术已经证明与代谢有关的标志物和炎性因子与血脂异常的风险增加有关。阐明这些关联的潜在机制可能为预防血脂异常提供重要的视角。在本研究中，我们旨在探讨代谢相关标志物对血脂异常的影响，并评估炎症介导这些关联的程度。方法在2010-2015年期间，本研究共纳入25,130名基线时无血脂异常的参与者。使用偏最小二乘路径模型来探索从代谢相关标志物到血脂异常的可能途径，以及炎症的介导作用。结果脂质代谢因子，血压因子，肥胖状况因子，葡萄糖代谢因子，肾功能因子和生活方式因子直接或间接地对血脂异常的发展产生不同的影响。偏最小二乘路径分析表明，模型的确定系数（R2）为0.52。脂质代谢因子，肥胖状况因子和葡萄糖代谢因子通过炎症因子对血脂异常具有直接和间接的作用。在血脂异常的预测中，脂质代谢因子是最重要的危险因子（β= 0.68），其次是肥胖状况因子（β= 0.06）和葡萄糖代谢因子（β= 0.03）。结论代谢相关标志物是血脂异常的强烈危险因素。炎症因素对这些关系具有重要的中介作用。