Genetic Testing in Hyperlipidemia

The Application of Metabolomics in Hyperlipidemia: Insights into Biomarker Discovery and Treatment Efficacy Assessment

Hyperlipidemia is a lipid metabolism disorder that refers to increased levels of total triglycerides (TGs), cholesterol (TC), and low-density lipoprotein-cholesterol (LDL-C) and decreased levels of high-density lipoprotein-cholesterol (HDL-C). It is a major public health issue with increased prevalence and incidence worldwide. The ability to identify individuals at risk of this disorder before symptoms manifest will facilitate timely intervention and management to avert potential complications. This can be achieved by employing metabolomics as an early detection method for the diagnostic biomarkers of hyperlipidemia. Metabolomics is an analytical approach used to detect and quantify metabolites. This provides the ability to explain the metabolic processes involved in the development and progression of certain diseases. In recent years, interest in the use of metabolomics to identify disease biomarkers has increased, and several biomarkers have been discovered, such as docosahexaenoic acid, glycocholic acid, citric acid, betaine, and carnitine. This review discusses the primary metabolic alterations in the context of hyperlipidemia. Furthermore, we provide an overview of recent studies on the application of metabolomics to the assessment of the efficacy of traditional herbal products and common lipid-lowering medications.

Protective Effects of Ferulic Acid on Metabolic Syndrome: A Comprehensive Review

Metabolic syndrome (MetS) is a complex disease in which protein, fat, carbohydrates and other substances are metabolized in a disorderly way. Ferulic acid (FA) is a phenolic acid found in many vegetables, fruits, cereals and Chinese herbs that has a strong effect on ameliorating MetS. However, no review has summarized the mechanisms of FA in treating MetS. This review collected articles related to the effects of FA on ameliorating the common symptoms of MetS, such as diabetes, hyperlipidemia, hypertension and obesity, from different sources involving Web of Science, PubMed and Google Scholar, etc. This review summarizes the potential mechanisms of FA in improving various metabolic disorders according to the collected articles. FA ameliorates diabetes via the inhibition of the expressions of PEPCK, G6Pase and GP, the upregulation of the expressions of GK and GS, and the activation of the PI3K/Akt/GLUT4 signaling pathway. The decrease of blood pressure is related to the endothelial function of the aortas and RAAS. The improvement of the lipid spectrum is mediated via the suppression of the HMG-Co A reductase, by promoting the ACSL1 expression and by the regulation of the factors associated with lipid metabolism. Furthermore, FA inhibits obesity by upregulating the MEK/ERK pathway, the MAPK pathway and the AMPK signaling pathway and by inhibiting SREBP-1 expression. This review can be helpful for the development of FA as an appreciable agent for MetS treatment.

Screening for Rare Genetic Variants Associated with Atherosclerosis: Opportunity for Personalized Medicine

Atherosclerosis and its clinical manifestations is a leading cause of disease burden worldwide. Currently, most of the individuals carrying a strong predisposition to complications of atherosclerosis because of monogenic dyslipidaemias remain undiagnosed and consequently are not given an opportunity for prevention. Therefore, one of the main public health challenges remains the identification of individuals with significantly increased risk for atherosclerosis due to monogenic predisposition. Next-Generation Sequencing (NGS) has revolutionized genetic testing in symptomatic patients. Although new genomic technologies are still developing, and evidence on the use of this methodology for screening purposes is still lacking, genome testing might provide a powerful tool for the identification of individuals at risk. This may pave the way for the implementation of personalized medicine in the field of atherosclerosis prevention. In this review, we discuss the potential of genetic screening for atherosclerosis prevention and present the potential target of 17 genes responsible for monogenic dyslipidaemias associated with atherosclerosis.

Dynamic lipid profile of hyperlipidemia mice

Biomarkers of serum fatty acids in hyperlipidemia need to be elucidated. 90 SPF KM male mice were randomly divided into 18 groups (n=5/group), control groups, and high fat diet (HFD) groups at 9 time points. On day 7, 10, 15, 18, 21, 24, 28, 31, and 35, the mice were sacrificed; blood was collected into tubes from the eyes, serum samples for clinical biochemistry assays and gas chromatography-mass spectroscopy were attained after centrifugation, and the contents of serum fatty acids were detected with GC-MS. Sections of livers were taken and stored in formalin solution for histological assessments. No species differences existed in all these groups. The contents of C16:1, C18:1, C22:6 were significantly different between HFD groups and the corresponding controls; meanwhile, the proportion of fatty acids, especially the monounsaturated degree, the polyunsaturated degree, changed significantly and regularly (P<0.05). Thus the three unsaturated fatty acids C16:1, C18:1, C22:6 and the monounsaturated/polyunsaturated unsaturated degrees may be as potential biomarkers of hyperlipidemia.