Abstract
Dyslipidemia is a common, chronic metabolic disease associated with cardiovascular complications. Due to the multiplicity of etiological factors, the pathogenesis of dyslipidemia is still unclear. In this study, we combined proteomics and metabolomics methods to analyze the plasma of patients with dyslipidemia and healthy subjects. isobaric tags for relative and absolute quantification (iTRAQ) markers, combined with LC-MS/MS proteomics technology and the UHPLC/Orbitfast-X Tribrid system, were used to establish the metabolite profile in clinical dyslipidemia. A total of 137 differentially expressed proteins, mainly related to biological processes such as protein activation cascades, adaptive immune responses, complement activation, acute inflammatory responses, and regulation of acute inflammatory responses, were identified. These proteins are involved in the regulation of important metabolic pathways, such as immunity and inflammation, coagulation and hemostasis, lipid metabolism, and oxidation and antioxidant defenses. The analysis of clinical metabolites showed there were 69 different metabolites in plasma, mainly related to glycerolipid, sphingolipid, porphyrin, α-linolenic acid, linoleic acid, and arachidonic acid metabolism, suggesting that the regulation of inflammation and lipid metabolism may be disturbed in patients with dyslipidemia. Among these, significant changes were observed in indole-3-propionic acid (IPA), which is considered as a potential biomarker of dyslipidemia. The combined analysis of proteins and metabolites showed that arachidonic acid, linoleic acid, and lipid metabolic pathways were closely related to dyslipidemia. IPA may be a potential biomarker. The information provided in this study may provide new insights into the pathogenesis of animal models of dyslipidemia and related disease models, as well as potential intervention targets.
Highlights
Dyslipidemia is a common, chronic metabolic disease associated with cardiovascular complications [1]
Combined analysis of proteins and metabolites showed that arachidonic acid, linoleic acid and lipid metabolic pathways were closely related to dyslipidemia
indole-3-propionic acid (IPA) may be a potential biomarker.The information provided in this study may provide new insights into the pathogenesis of dyslipidemia and related diseases, as well as potential intervention targets
Summary
Dyslipidemia is a common, chronic metabolic disease associated with cardiovascular complications [1] It may occur in young adults (aged 21 to 39 years) and is an important risk factor for cardiovascular diseases [2]. The etiology of dyslipidemia is complex, so its pathogenesis is still unclear. Current clinical biomarkers, such as triglycerides, total cholesterol, LDL cholesterol, and HDL cholesterol, lack the necessary specificity and sensitivity and only increase significantly after severe dyslipidemia [8]. Dyslipidemia is a common, chronic metabolic disease associated with cardiovascular complications. Due to the multiplicity of etiological factors, the pathogenesis of dyslipidemia is still unclear
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