Abstract
Recently, lipidomics has revealed that many diseases are highly associated with altered lipid metabolism, as in the case of hypertension affecting serum lipid metabolism. In this study, an LC–MS-based lipidomic approach was used to profile serum lipids in spontaneously hypertensive rats (SHRs) treated with an extract of Acanthopanax sessiliflorus fruits (ASF), to elucidate the serum lipid metabolism alteration by hypertension and the treatment of a drug or ASF. First, UPLC-QTOF/MS profiled a total of 208 lipids from six pooled samples of normal controls, SHR, SHR + 100 mg/kg of drug, and SHR + ASF 200, 400, or 600 mg/kg. These six groups were differentiated by the PCA and sPLS–DA, and 120 lipid species were identified as differentially regulated lipids (DRLs) by ANOVA (p values < 0.05). Second, UPLC–QqQ/MS was used for the target profiling of 120 DRLs from individual samples of the six groups. Using an ANOVA, 67 lipids (38 TGs, 4 DGs, 17 PCs, 2 PEs, and 6 LPCs) were selected as validated DRLs. The mostly altered lipids, such as TG (62:13), TG (60:13), PC (34:4), PC (36:5), and PC (38:2), were decreased in SHR compared to the normal control, and received little by treatment with ASF. These results demonstrated the correlation between hypertension and serum lipid metabolism. Furthermore, both drug and ASF treatment similarly altered the lipid profiles of SHRs. Finally, we found that DRLs have the potential to help us to interpret the lipid metabolism of hypertension.
Highlights
Hypertension is a clinical syndrome leading to many chronic diseases, such as cardiovascular disease (CVD), stroke, renal disease, and diabetes [1,2]
Various lipids were well separated by ultra-performance LC (UPLC), and the MSE acquisition mode based on quadrupole time of flight (QTOF)/mass spectrometry (MS) was used for the full mass scan of lipids with exact mass measurements and MS/MS analysis
Various lipids were well separated by UPLC, and the MSE acquisition based on QTOF/MS was used for the full mass scan of lipids with exact mass measurements massmode values and retention time (RT)
Summary
Hypertension is a clinical syndrome leading to many chronic diseases, such as cardiovascular disease (CVD), stroke, renal disease, and diabetes [1,2]. CVD is a major cause of morbidity and mortality worldwide, and there is significant global interest in the prevention and treatment of CVD [3]. Hypertension is widely known as one of the main risk factors of CVD, the underlying mechanisms are not clearly understood. For the prevention of CVD, it is critical to research the mechanisms of the development of hypertension, as well as those of increased blood pressure. An atherogenic lipid profile with high levels of total cholesterol, low-density lipoprotein cholesterol, triglycerides, and low levels of high-density lipoprotein cholesterol was considered to be a risk factor for CVD [4]. High blood pressure, combined with undesirable levels of cholesterol can cause oxidative stress, vascular inflammatory responses, and atherosclerosis [5,6,7]
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