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Abstract

Objective

To investigate the possible association between plasma proprotein convertase subtilisin/kexin type 9 (PCSK9) and the incidence and severity of calcific aortic valve disease (CAVD).

Methods

This prospective, cross sectional study involved patients with and without (controls) aortic valve calcification diagnosed by transthoracic echocardiography and dual source computed tomography (DSCT) scan. Aortic valves calcification scores were calculated from DSCT scans and patients were graded: grade 1, no calcification; grade 2, mildly calcified; grade 3, moderately calcified; grade 4, heavily calcified. Plasma PCSK9 levels were measured using an enzyme-linked immunosorbent assay.

Results

Forty patients were grade 1 (controls), 32 were grade 2, 48 were grade 3 and 32 were grade 4. Plasma levels of PCSK9 were significantly different between the four groups and the highest value was observed in the patients with grade 2 calcification. Only low-density lipoprotein cholesterol and lipoprotein (Lp)(a) were associated with the severity of CAVD. Regression analysis showed that age, Lp(a) and PCSK9 were independent predictors of CAVD.

Conclusion

Data from this cross sectional study in a small sample of patients showed that plasma PCSK9 was correlated with the presence of CAVD but not its severity.

Keywords

Calcific aortic valve disease proprotein convertase subtilisin/kexin type 9 lipoprotein (a)LDL cholesterol dual-source computed tomography

Introduction

Calcific aortic valve disease (CAVD) is associated with increased risk of major cardiovascular disease events and is the most common cardiac valvular disorder in the elderly.¹ Aortic valve calcification, which has long been considered a passive degenerative process, is the most frequent aetiological factor of aortic stenosis in western countries.¹ However, recent data have challenged this concept and CAVD is now believed to be a complex process. Atherogenesis and inflammation are thought to trigger biologically active and progressive processes that result in aortic valve calcification.² The early stages of aortic valve degeneration are similar to atherothrombotic coronary disease and large longitudinal studies have shown that factors such as smoking, age, hypertension and hypercholesterolaemia are closely related to the incidence of CAVD.³

The pathological mechanisms involved in the development of CAVD are not fully understood and a fundamental question is what drives the calcific remodelling of the aortic valve. Retention of lipids, oxidized lipid species, and lipoprotein (Lp)(a) have been shown to be associated with CAVD.³ Mutations in the gene, proprotein convertase subtilisin/kexin type 9 (PCSK9), have been associated with familial hypercholesterolaemia.⁴ By binding to the epidermal growth factor-like repeat A domain of the low-density lipoprotein (LDL) receptor, PCSK9 promotes its subsequent degradation.⁴ The inhibition of PCSK9 reduces a number of atherogenic lipoproteins, including apolipoprotein B (Apo B), LDL cholesterol (LDL-C), non high-density lipoprotein cholesterol (non-HDL-C) and Lp(a).⁴ To our knowledge, the possible association between PCSK9 and the process of aortic valve calcification has not previously been investigated. Therefore, the purpose of this current study was to investigate the correlation between circulating PCSK9 levels and the incidence and severity of CAVD.

Patients and methods

Study population

For this cross sectional study, patients with and without (controls) aortic valve calcification were prospectively enrolled at the Tianjin Chest Hospital between March 2015 and December 2015. Patients had initially attended the clinic because of chest pain or chest tightness and those included were aged ≥ 60 years and had been evaluated by transthoracic echocardiography and dual-source computed tomography (DSCT) within the previous 2 months. Exclusion criteria were: use of statins; confirmed coronary artery disease; bicuspid aortic valve; severe mitral valve stenosis (i.e. valve area less than 1 cm²); mitral valve calcification; severe mitral or aortic regurgitation; rheumatic valvular heart disease; cardiac failure; a planned aortic valve replacement; infectious disease; moderate-to-severe renal dysfunction; current or chronic history of hepatic illness; a history of alcohol or drug addiction.

The study was approved by the Ethical Review Board of Tianjin Chest Hospital (approval no. 2015KY-006-01) and written informed consent was obtained from all study participants. The study adhered strictly to the Declaration of Helsinki principle 2008 and was registered at http://www.chictr.org.cn/ (ChiCTR-COC-15006428).

Echocardiographic assessment

At study entry, all eligible patients had a two-dimensional echocardiogram (Somatom Definition Flash; Siemens Medical Solutions, Forchheim, Germany) performed in the left lateral decubitus position. Images were obtained using a S5-1 transducer and reviewed by two experienced observers (X.G. and C.L.) blinded to the other laboratory results. According to results from the transthoracic echocardiogram, patients were divided into those with and without CAVD. Aortic valve calcification was defined as focal areas of increased echogenicity and aortic valve leaflets thickness > 2 mm in the absence of aortic stenosis (i.e. velocity across the valve less ≤ 2.5 m/sec).⁵ Left ventricular ejection fraction was calculated using the biplane Simpson’s rule.⁶ Aortic valve morphology was evaluated at the parasternal short axis view.

DSCT scan assessment

Aortic valve images were also obtained using a DSCT system (Somatom Definition Flash; Siemens Medical Solutions) within 2 months of study entry. Aortic valves were scanned (detector collimation 2 × 32 × 0.75 mm, gantry rotation time 330 ms, tube voltage 100–120 kV, and tube current 320mA). The slice thickness of reconstruction was 0.75 mm and reconstruction interval was 0.5 mm. A remote workstation (VE36A, Syngo MultiModality Workplace; Siemens Medical Solutions) was used for post processing and image analysis. The CT scans were interpreted by two experienced medical radiologists (H.Z. and Y.M.) who were blinded to the echocardiographic and clinical data. The double oblique transverse view of the aortic valve was obtained by the correct orientation of the reconstructed coronal and single oblique sagittal view through the aortic valve.

The presence of aortic valve calcification was defined as any calcified pathological changes detected in the aortic valve leaflet area or extending to the root of the aorta. Mean phantom adjusted calcification scores were used. The calcification score of each lesion was acquired by multiplying lesion area by a density factor that was derived from maximal Hounsfield units (HUs), as reported previously.⁷ A plaque of at least three contiguous pixels with a density of more than 130 HUs was termed as calcification lesion. A total calcification score was created by summing lesion scores of each calcification lesion. Aortic valve calcification was further assessed by DSCT quantitative scoring system:⁸ grade 1, no calcification (i.e. controls); grade 2, mildly calcified (i.e. small isolated calcification spots in the aortic valve); grade 3, moderately calcified (i.e. multiple larger spots); grade 4, heavily calcified (i.e. extensive calcification of all aortic cusps) (Figure 1).

Figure 1.

Assessment of aortic valve calcification by dual source computed tomography. The degree of aortic valve calcification was graded as follows: grade 1, no calcification (a); grade 2, mildly calcified, small isolated spots (b); grade 3, moderately calcified, multiple larger spots (c); grade 4, heavily calcified, extensive calcification on all cusps (d).

Laboratory analyses

Fasting venous blood samples were taken at study entry and collected in pre-cooled ethylenediaminetetra-acetic acid tubes after centrifugation at 1000 g for 15 min at 4℃ within 30 min of collection; all plasma aliquots were stored at −80℃. Total cholesterol (TC), LDL-C, HDL cholesterol (HDL-C), triglycerides (TG), ApoA1 and B, Lp(a), fasting glucose and high sensitivity C-reactive protein (hs-CRP) were assessed using commercial kits (Roche Diagnostics, Mannheim, Germany) and a Roche c701 analyser. Plasma PCSK9 levels were measured using an enzyme-linked immunosorbent assay (ELISA) with a commercial PCSK9 ELISA Kit (Human Proprotein Convertase 9/PCSK9 Quantikine ELISA Kit; R&D Systems, Abingdon, UK).

Statistical analyses

Following results from a pilot study assessing PCSK9 levels, the statistical power was set as 0.9, the type I error rate as 1% and estimated the minimum sample size to be 30 patients in each group. All data were analysed using the SPSS® statistical package, version 20.0 (SPSS Inc., Chicago, IL, USA) for Windows®. Continuous variables were presented as mean ± SD or interquartile range in cases of non-Gaussian distribution and categorical variables were presented by frequencies and percentages. Analysis of variance using the Bonferroni correction for multiple comparisons was used for continuous variables and the χ² test was used in the comparison of categorical variables. Data that were not normally distributed (i.e. TG, Lp(a), hs-CRP) were transformed logarithmically. To characterize the relationship between aortic valve calcification score and laboratory parameters, Pearson’s correlation coefficients (r) were calculated. Independent risk factors of CAVD were analysed using binary logistic regression. A P value < 0.05 was considered to indicate statistical significance.

Results

This study enrolled 152 patients and their clinical characteristics are shown in Table 1. According to the DSCT scan, 40 patients were grade 1 (controls), 32 were grade 2, 48 were grade 3 and 32 were grade 4. Overall, 86 of 152 (56.6%) of the population was male, 74 of 152 (48.7%) had hypertension, 64 of 152 (42.1%) were smokers and 43 of 152 (28.3%) had diabetes mellitus. No significant differences between the four groups were found in the proportion of males, patients who smoked, had hypertension or diabetes mellitus. There were also no significant differences between groups in terms of medication usage, left ventricular ejection fraction (LVEF) and left ventricular end diastolic diameter (LVDD). There were significant differences between the four groups in age (P < 0.05) with grades 2, 3 and 4 patients being slightly older than controls and in aortic valve calcification scores (P < 0.01).

Table 1.

Clinical characteristics of the 152 patients involved in the study to investigate the correlation between plasma proprotein convertase subtilisin/kexin type 9 levels and the incidence and severity of calcific aortic valve disease. Patients were graded according to results from a dual source computed tomography (DSCT) scan.

Clinical characteristic	Grade of aortic valve calcification				Statistical significance^a
Clinical characteristic	Grade 1 (controls) n = 40	Grade 2 n = 32	Grade 3 n = 48	Grade 4 n = 32	Statistical significance^a
Age, years	67.8 ± 4.9	70.4 ± 5.0	70.0 ± 6.3	72.2 ± 4.7	P < 0.05
Male	18 (45.0)	21 (65.6)	31 (64.6)	16 (50.0)	NS
Smoker	17 (42.5)	14 (43.8)	18 (37.5)	15 (46.9)	NS
Hypertension	15 (37.5)	14 (43.8)	25 (52.1)	20 (62.5)	NS
Diabetes mellitus	9 (22.5)	8 (25.0)	11 (22.9)	15 (46.9)	NS
Medication use
ACEI/ARB	8 (20.0)	14 (43.8)	15 (31.3)	12 (37.5)	NS
β blocker	5 (12.5)	9 (28.1)	7 (14.6)	5 (15.6)	NS
CCB	6 (15.0)	9 (28.1)	10 (20.8)	5 (15.6)	NS
Diuretic	5 (12.5)	5 (15.6)	6 (12.5)	7 (21.9)	NS
Aspirin	10 (25.0)	10 (31.3)	13 (27.1)	7 (21.9)	NS
Echocardiography parameters
LVDD, mm	50.7 ± 3.0	51.0 ± 2.2	51.6 ± 2.4	51.9 ± 3.1	NS
LVEF, %	61.2 ± 5.1	61.0 ± 4.2	60.3 ± 4.7	58.3 ± 6.3	NS
DSCT parameters
AVC score	0	42.6–63.4	140.6–182.2	324.7–572.0	P < 0.01

Values are shown as mean ± SD, n (%) or interquartile range.

Analysis of variance using the Bonferroni correction for multiple comparisons was used for continuous variables and the χ² test was used in the comparison of categorical variables.

Grade 1, no calcification (controls); grade 2, mildly calcified; grade 3, moderately calcified; grade 4, heavily calcified.

ACEI/ARB, angiotensin-converting enzyme inhibitors or angiotensin receptor blocker; CCB, calcium channel blockers; LVDD, left ventricular diastolic diameter; LVEF, left ventricular ejection fraction; AVC, aortic valve calcification; NS, no significant between-group difference (P ≥ 0.05).

Among the laboratory variables, plasma levels of TC, LDL-C, Apo B and Lp(a) were significantly higher in the grade 2, 3 and 4 groups compared with the control (grade 1) group (P < 0.05 for all comparisons; Table 2). There were no statistically significant differences between groups in plasma levels of TG, HDL-C, Apo A1, hs-CRP and glucose. Plasma levels of PCSK9 were significantly different between the four groups and the highest value was observed in patients with grade 2 aortic valve calcification (P < 0.01).

Table 2.

Comparison of selected laboratory variables among the 152 patients involved in the study to investigate the correlation between plasma proprotein convertase subtilisin/kexin type 9 (PCSK9) levels and the incidence and severity of calcific aortic valve disease.

Laboratory variable	Grade of aortic valve calcification				Statistical significance
Laboratory variable	Grade 1 (controls) n = 40	Grade 2 n = 32	Grade 3 n = 48	Grade 4 n = 32	Statistical significance
TC, mmol/l	4.48 ± 0.45	4.92 ± 0.68^†	5.15 ± 0.69^‡	5.06 ± 0.53^§	P < 0.01
HDL-C, mmol/l	1.10 ± 0.14	1.08 ± 0.18	1.12 ± 0.20	1.02 ± 0.15	NS
LDL-C, mmol/l	2.91 ± 0.47	3.44 ± 0.60^†	3.44 ± 0.63^‡	3.65 ± 0.44^§	P < 0.01
Apo B, g/l	0.86 ± 0.22	0.97 ± 0.25^†	1.05 ± 0.26^‡	1.06 ± 0.21^§	P < 0.05
TG, mmol/l*	0.10 ± 0.22	0.18 ± 0.18	0.15 ± 0.17	0.19 ± 0.17^§	NS
Apo A1, g/l	1.09 ± 0.25	1.02 ± 0.20	1.05 ± 0.23	0.96 ± 0.27	NS
Lp(a), nmol/l*	1.21 ± 0.30	1.41 ± 0.32^†	1.61 ± 0.34^‡	1.63 ± 0.38^§	P < 0.01
hs-CRP, mg/l*	0.23 ± 0.37	0.25 ± 0.36	0.32 ± 0.33	0.39 ± 0.32	NS
PCSK9, ng/ml	260.2 ± 40.7	352.4 ± 59.3^†	334.0 ± 66.4^‡	312.4 ± 66.4^§	P < 0.01
Glucose, mmol/l	5.48 ± 0.88	5.29 ± 0.94	5.31 ± 0.94	5.44 ± 0.96	NS

Data are expressed as mean ± SD.

Grade 1, no calcification (controls); grade 2, mildly calcified; grade 3, moderately calcified; grade 4, heavily calcified.

Log transformed data.

TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; LDL-C, low-density lipoprotein cholesterol; Apo, apolipoprotein; TG, triglyceride; Lp(a), lipoprotein(a); hs-CRP, high sensitivity C-Reactive Protein; NS, no significant between-group difference (P ≥ 0.05).

†

Grade 2 compared with grade 1, P < 0.05; ^‡grade 3 compared with grade 1, P < 0.05; ^§grade 4 compared with grade 1, P < 0.05; analysis of variance using the Bonferroni correction for multiple comparisons was used for continuous variables.

Across all patients, aortic valve calcification scores evaluated by DSCT were statistically significantly correlated with TC (P < 0.01), LDL-C (P < 0.01), Apo B (P < 0.01), Lp(a) (P < 0.01) and PCSK9 (P < 0.01) (Table 3). In patients with CAVD (n = 112), only LDL-C and Lp(a) were significantly correlated with aortic valve calcification scores (P < 0.01 for both comparisons). Plasma levels of PCSK9 in patients with CAVD were not correlated with aortic valve calcification scores.

Table 3.

Pearson’s correlation coefficient analysis of the possible correlation between aortic valve calcification scores and laboratory variables.

Laboratory variable	All patients n = 152	CAVD group n = 112
TC	0.296^†	0.135
LDL-C	0.395^†	0.257^†
Apo B	0.263^†	0.154
Lp(a)*	0.408^†	0.286^†
PCSK9*	0.214^†	−0.010
hs-CRP*	0.150	0.129

Log transformed data.

†

P < 0.01.

TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; Apo B, apolipoprotein B; Lp(a), lipoprotein(a); PCSK9, proprotein convertase subtilisin/kexin type 9; hs-CRP, high sensitivity C-reactive protein.

Binary logistic regression analysis showed that of the risks factors examined, age (P = 0.017), Lp(a) (P = 0.005) and PCSK9 (P = 0.006) were independent predictors of CAVD in all patients (Table 4).

Table 4.

Binary logistic regression analysis of risk factors possibly associated with calcific aortic valve disease (n = 152).

Variable	Odds ratio	95% CI	Statistical significance
Age	1.121	1.021, 1.231	P = 0.017
Sex	0.926	0.337, 2.542	NS
Diabetes mellitus	0.996	0.299, 3.328	NS
Hypertension	0.498	0.516, 3.907	NS
Smoker	1.878	0.629, 5.610	NS
TC	0.419	0.331, 14.223	NS
LDL-C	0.798	0.190, 8.666	NS
Lp(a)	1.038	1.011, 1.064	P = 0.005
PCSK9	1.014	1.004, 1.024	P = 0.006

CI, confidence interval; TC, total cholesterol; LDL-C, low density lipoprotein cholesterol; Lp(a), lipoprotein(a); PCSK9, proprotein convertase subtilisin/kexin type 9; NS, no significant difference (P ≥ 0.05).

Discussion

In this cross sectional study, plasma PCSK9 levels were significantly higher in patients with CAVD at all grades compared with control patients without CAVD. Although regression analysis showed that plasma PCSK9 was significantly associated with the presence of CAVD, no correlation was observed between plasma PCSK9 and aortic valve calcification scores in patients with CAVD. In contrast, in patients with coronary heart disease (CHD), plasma PCSK9 levels were correlated with the severity of CHD and with an increased CHD risk.⁹ In addition, the effects of plasma PCSK9 levels on CHD were shown to be mediated by lipid (approximately 20%) and inflammation (approximately 15%).⁹ We suggest that the reason for the lack of correlation between plasma PCSK9 and the severity of CAVD in the present study is because elevated plasma PCSK9 may only be part of the complex processes involved in early stage CAVD.

In agreement with previous studies,^10,11 this present found that plasma levels of LDL-C, TC, Apo B and Lp(a) were higher in patients with aortic valve calcification compared with control patients without CAVD. Further analysis showed that aortic valve calcification scores were correlated with plasma TC, LDL-C, Apo B and Lp(a). However, in patients with CAVD, the severity of the condition was not correlated with TC or Apo B. Regression analysis showed that age, Lp(a) and PCSK9 were independent risk factors for CAVD. Studies have established that elevated Lp(a) is involved causally with CAVD and the requirement for aortic valve surgery.¹² Furthermore, a strong association has been established between a single nucleotide polymorphism in the locus of Lp(a) and the incidence of CAVD.¹³ Therefore, we believe that the ability of Lp(a) lowering therapies to modify CAVD progression is an area of potential investigation.

Research has confirmed that Lp(a) catabolism is regulated by PCSK9 through the LDL receptor;¹⁴ Lp(a) internalization by primary human fibroblasts and hepatic HepG2 cells was significantly decreased by PCSK9. In addition, upregulated expression of the LDL receptor in HepG2 cells improved the internalization of Lp(a) and the process was reduced following intervention with a LDL receptor monoclonal antibody.¹⁴ Therefore, the LDL receptor is involved in Lp(a) catabolism and the course can be modified by PCSK9. However, the significance of the role of LDL receptor is controversial. Another study found that LDL receptor-deficient fibroblasts did not alter the catabolism of Lp(a).¹⁵ The Lp(a) clearance by hepatocytes appeared to depend on very low density lipoprotein receptor (VLDLR) expression. Therefore, we postulate that the possible modulation of VLDLR by PCSK9 will be of great significance. Moreover, perhaps reducing PCSK9 expression or receptor binding activity may mediate the reduction of Lp(a). Indeed, anti-PCSK9 monoclonal antibodies have been shown to lower Lp(a) by 20–40%.¹⁶

The apparent link between lipid levels and aortic valve calcification as well as the pathological similarities with atherosclerosis has led to the hypothesis that statins might be beneficial in patients with aortic stenosis. This theory has been supported by nonrandomized clinical trials¹⁷ and experiments in hypercholesterolaemic animal models.¹⁸ However, predominantly negative, even conflicting results, have been reported when statins were formally tested in three independent randomized controlled clinical trials in patients with moderate-to-severe aortic stenosis.^19–21 The discrepancy in these findings may be due to the pathophysiological mechanisms underlying CAVD. For example, although lipid deposition and inflammation may be important in the initiation phase of CAVD, the later calcification and mineralization stages are characterized by a self-perpetuating cycle of calcium formation and ossification.²² Lipid-lowering medications are probably ineffective once this propagation phase is established. Therefore, the inchoate stages of CAVD, when valve stiffness and obstruction to blood flow have not yet developed, may provide us with a possible opportunity for lipid-lowering therapies to inhibit the development of CAVD.

In this present study, hs-CRP levels did not correlate with aortic valve calcification scores in all subjects nor in patients with CAVD. Therefore, CRP was not correlated with either the presence or severity of CAVD. Previous findings on the relationship between CRP and CAVD are inconsistent. In one study, CRP levels in patients with advanced symptomatic aortic sclerosis awaiting aortic valve replacement were higher than that in patients with aortic valve regurgitation.²³ For those patients who underwent the valve surgery, CRP levels declined after valve replacement. In contrast, the Cardiovascular Health Study found that the early inflammatory stages of CAVD were not associated with CRP values and elevated CRP levels did not precede the development of incident calcific aortic stenosis.²⁴ We suggest a possible explanation for these contradictory results is that CRP might be an excellent biomarker of severe aortic stenosis, but cannot predict the early stages of aortic sclerosis or CAVD.

Clinic trials of statins in CAVD patients have shown negative results^19–21 and so we believe that it is necessary to identify a more targeted and non-statin lipid intervention to halt disease progression in CAVD. Certainly, PCSK9 inhibition and the resulting increase in LDL receptors probably have synergistic advantages.^4,25,26 Furthermore, anti-PCSK9 monoclonal antibodies have been shown to have a significant effect on reducing LDL-C even in patients on statin treatment.¹⁶ In addition, blocking PCSK9 might be expected to increase the clearance of other atherogenic lipoproteins and may have a therapeutic effect beyond that generated by the lowering of LDL-C.²⁷

This present study had several limitations. Firstly, cross sectional data do not provide evidence of causality. Prospective, case–control studies would be necessary to assess whether PCSK9 can indeed predict progression of aortic valve calcification to aortic stenosis. Secondly, although the analyses were adjusted for the most pertinent variables that may have affected aortic valve calcification, the possibility exists that some confounding factors may have been omitted. Finally, the present study used a small patient population and so more studies with larger populations are required to confirm these preliminary findings.

In conclusion, data from this cross sectional study involving a small group of patients showed plasma PCSK9 was correlated with the presence of CAVD but not its severity. Further case–controlled studies involving more patients are required to confirm these findings.

Footnotes

Acknowledgements

We would like to thank the staff of Tianjin Cardiovascular Disease Research Institute and Nankai University, especially Professors Jihong Han and Yajun Duan for their excellent technical assistance. We would also like to thank the staff of the Department of Cardiology, Tianjin Chest Hospital for their help in patient recruitment.

Declaration of conflicting interests

The authors declare that there are no conflicts of interest.

Funding

This work was supported by the Tianjin Municipal Science and Technology Commission of China (grant number: 12ZCZDSY03200) and China Postdoctoral Science Foundation (grant number: 2015M581308).

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Proprotein convertase subtilisin/kexin type 9 levels and aortic valve calcification: A prospective,cross sectional study

Abstract

Objective

Methods

Results

Conclusion

Keywords

Introduction

Patients and methods

Study population

Echocardiographic assessment

DSCT scan assessment

Laboratory analyses

Statistical analyses

Results

Discussion

Footnotes

Acknowledgements

Declaration of conflicting interests

Funding

References