| Literature DB >> 31779098 |
Yue Wu1, Ming-Jiang Xu1, Zhiyou Cao1, Chun Yang2, Jinjie Wang2, Bijue Wang1, Jian Liu1, Yuhui Wang2, Xunde Xian2, Fang Zhang1, George Liu2, Xiaoli Chen1.
Abstract
Proprotein convertase subtilisin/kexin type 9 (PCSK9) plays a key role in cholesterol homeostasis and atherogenesis. However, there are only limited rodent models, with a functional low-density lipoprotein receptor (LDLR) pathway and cholesteryl ester transfer protein (CETP) to evaluate the drug candidates targeting the PCSK9/LDLR pathway, that are translatable to humans. Here, by using our recently generated LDLR heterozygote (Ldlr+/-) hamster model with functional LDLR pathway and CETP function, we seek to evaluate the effect of a PCSK9 antibody, evolocumab, on dyslipidemia and atherosclerosis compared with ezetimibe, an effective inhibitor of cholesterol absorption, as a positive therapeutic control. We show that the plasma levels of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and triglyceride (TG) were significantly increased in Ldlr+/- hamsters fed a high-fat high-cholesterol (HFHC) diet; therefore, areas of atherosclerotic lesion in the aorta were obviously increased and positively correlated with plasma LDL-C and TC. Circulating free PCSK9 was downregulated by the HFHC diet and was undetectable in the evolocumab treated group, as expected. Most importantly, either evolocumab or ezetimibe treatment prevented HFHC diet-induced hyperlipidemia and subsequent atherosclerotic plaque formation. The results indicate that Ldlr+/- hamsters fed an HFHC diet represent an ideal rodent model to evaluate drug candidates that affect LDLR pathways.Entities:
Keywords: animal model; atherosclerosis; dyslipidemia; low-density lipoprotein; low-density lipoprotein receptor; proprotein convertase subtilisin/kexin type 9
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Year: 2019 PMID: 31779098 PMCID: PMC6929182 DOI: 10.3390/ijms20235936
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Lipid profiles of wild-type (WT; N = 9) and Ldlr+/− (N = 44) hamsters fed with chow diet. ** The concentrations of plasma LDL (A), HDL (B), TC (C) and TG (D) were measured in WT and Ldlr+/- hamsters. p < 0.01, *** p < 0.001. An unpaired t-test was performed. LDL, low-density lipoprotein; HDL, high-density lipoprotein; TC, total cholesterol; TG, triglyceride.
Figure 2Evolocumab or ezetimibe treatment improved high-fat high-cholesterol (HFHC) diet-induced dyslipidemia in Ldlr+/− hamsters. Ldlr+/ hamsters were fed with chow or HFHC diet for 18 weeks, with simultaneous administration of ezetimibe or evolocumab. Blood samples were obtained at indicated time points. Plasma (A) LDL-C, (B) HDL-C, (C) TC, and (D) TG were measured. * p < 0.05, ** p < 0.01, *** p < 0.001 compared with values in HFHC model group. Two-way ANOVA with Dunnett’s multiple comparisons test was performed.
Figure 3En face analysis of aortic lesion area and its correlation with plasma lipid profiles. (A) Quantitative analysis of whole aorta lesion area. ** p < 0.01 compared with values in the HFHC diet model group. One-way ANOVA with Dunnett’s multiple comparisons test was performed. (B) Representative images of en face analysis. (C–F) Correlations between lesion areas and plasma LDL-C, TC, HDL, and TG in the HFHC diet model group were analyzed by linear regression. Dashed line shows 95% confidence band of best fit line.
Figure 4Evolocumab or ezetimibe treatment prevented HFHC diet-induced atherosclerotic lesions in aortic valves. (A) Representative images of Oil Red O (ORO) staining. (B) Representative images of CD68 immunohistochemical staining. Arrowheads indicate CD68 immunohistochemical stained areas. (C) Quantified lesion area of Oil Red O staining. (D) Quantified CD68-positive staining area. * p < 0.05, ** p < 0.01, *** p < 0.001, compared with values in the HFHC diet model group. One-way ANOVA with Dunnett’s multiple comparisons test was performed.
Figure 5Plasma-free PCSK9 protein concentration. ** p < 0.01, *** p < 0.001 compared with values in the HFHC model group. One-way ANOVA with Dunnett’s multiple comparisons test was performed.