Metabolic-related markers and inflammatory factors as predictors of dyslipidemia among urban Han Chinese adults

Ying Lian,Fang Tang,Lingling Xie,Yafei Liu

doi:10.1186/s12944-019-1109-1

Abstract

BackgroundMetabolic-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.MethodsA 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.ResultsLipid 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).ConclusionsMetabolic-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.

Highlights

Metabolic-related markers and inflammatory factors have been proved to be associated with increased risk of dyslipidemia
The results showed that the manifest variable of baseline low-density lipoprotein cholesterol (LDL-C) was the most significant contributor in the formation of lipid metabolism factor (LMF), followed by baseline total cholesterol (TC), baseline TG and baseline High-density lipoprotein cholesterol (HDL-C)
We found that 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 indirectly, and inflammatory factor played a mediating role in the associations

Summary

Introduction

Metabolic-related markers and inflammatory factors have been proved to be associated with increased risk of dyslipidemia. We aimed to explore the effect of metabolic-related markers on dyslipidemia, and to assess what extent inflammation mediating these associations. Epidemiological studies conducted in China showed that the prevalence of Metabolic-related risk factors such as glucose level and hypertension have been proved to be associated with dyslipidemia [7, 8]. Most of these factors reflect different metabolic pathways that may be involved in the pathogenesis of dyslipidemia.

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