| Title |
Elevated Circulating PCSK9 Concentrations Predict Subclinical Atherosclerotic Changes in Low Risk Obese and Non-Obese Patients
|
|---|---|
| Published in |
Cardiology and Therapy, June 2017
|
| DOI | 10.1007/s40119-017-0092-8 |
| Pubmed ID | |
| Authors |
Štefan Tóth, Ján Fedačko, Tímea Pekárová, Zdenka Hertelyová, Matan Katz, Adil Mughees, Jozef Kuzma, Peter Štefanič, Ivan Kopolovets, Daniel Pella |
| Abstract |
Many studies have highlighted the important role of PCSK9 in the development of cardiometabolic changes and its possible function as a biomarker of myocardial infarction or ischemic heart disease. This study aimed to determine the relationship between circulating PCSK9 levels and subclinical vascular changes in the group of low risk patients without manifest cardiovascular diseases. In this study, 120 healthy patients, free of manifest cardiovascular diseases, diabetes mellitus, and without lipid-lowering therapy, were divided into three groups based on BMI: normal weight (N = 50), overweight (N = 30), and obese (N = 40). Biochemical parameters, including basic lipid and non-lipid ones, were analyzed. PCSK9 levels were measured by ELISA, vascular changes were quantified by carotid ultrasound (carotid artery intima-media thickness, cIMT), and arterial stiffness parameters (pulse wave velocity, PWV; augmentation index, AI; stiffness parameter, β) were measured by an echo-tracking method. Plasma levels of PCSK9 significantly increased in obese (172.78 ± 51.67 ng/mL) in comparison with overweight (120.14 ± 37.64, p < 0.001) and normal weight groups (114.92 ± 35.87, p < 0.001). Differences between the overweight and normal weight groups were not significant (p = 0.85). The level of PCSK9 significantly correlated with values of BMI (p < 0.001, r = 0.38). In addition to increase in laboratory parameters associated with moderate metabolic changes, significant increase in cIMT and parameters of vascular changes (β, AI, PWV) were detected in groups with elevated BMI. Significant positive linear correlation of PCSK9 concentrations and cIMT (p < 0.001, r = 0.39), PWV (p < 0.001, r = 0.31), and β (p < 0.001, r = 0.3) were found. In multivariable regression analysis after adjusting for gender, age, BMI, and LDL, the impact of PCSK9 on cIMT, β, and PWV remained significant (p = 0.006, 0.03, and 0.002, respectively). PCSK9 plasma levels significantly correlated with subclinical vascular changes and their values were significantly elevated in obese subjects. We assume that PCSK9 could be used as a predictor of early vascular involvement, prior to the existence of manifest atherosclerosis. These results also highlight the role of anti-PCSK9 treatment in primary prevention. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 2% |
| Unknown | 45 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 11% |
| Student > Doctoral Student | 5 | 11% |
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 3 | 7% |
| Other | 5 | 11% |
| Unknown | 18 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 22% |
| Biochemistry, Genetics and Molecular Biology | 5 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 7% |
| Psychology | 2 | 4% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 4 | 9% |
| Unknown | 21 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 June 2017.
All research outputs
#15,465,171
of 22,981,247 outputs
Outputs from Cardiology and Therapy
#132
of 270 outputs
Outputs of similar age
#183,397
of 291,513 outputs
Outputs of similar age from Cardiology and Therapy
#7
of 9 outputs
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So far Altmetric has tracked 270 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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