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Archives of Medical Science - Atherosclerotic Diseases
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Official journal of the International Lipid Expert Panel (ILEP)
vol. 4
Clinical research

Can metformin stabilize PCSK9 level in stable coronary artery disease patients treated with statins?

Aleksandr B. Shek
Rano B. Alieva
Ravshanbek D. Kurbanov
Shavkat U. Hoshimov
Ulugbek I. Nizamov
Adolat V. Ziyaeva

Arch Med Sci Atheroscler Dis 2019; 4: e144–e150
Online publish date: 2019/07/18
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Statin treatment is a cornerstone of cardiovascular disease prevention and treatment [13]. However, by lowering low-density lipoprotein cholesterol (LDL-cholesterol) in the blood, statins activate the expression of the proprotein convertase subtilisin/kexin type 9 (PCSK9), which is a secreted LDL receptor inhibitor, and a risk predictor of cardiovascular events [4]. Perhaps that is why application of maximal doses of statins during the therapy does not prevent residual risk of cardiovascular events and cannot lower LDL cholesterol to the target level [5]. Also, it has been shown that moderate statin therapy (atorvastatin 40 mg) causes an increase in PCSK9 levels after 16 weeks [6]. The connection between the level of PCSK9 and the risk of major adverse cardiovascular events (MACE) has been proven in a number of studies [79].

In this regard, nowadays there are two main targets for atherosclerotic cardiovascular disease (ASCVD): LDL cholesterol and PCSK9 [4, 10]. Monoclonal antibodies (MAB) which target PCSK9 lower LDL cholesterol (LDL-C) levels by 55% to 72% in high-risk patient groups and are the only tool which effectively reduces both LDL-C and PCSK9 [11, 12]. Unfortunately, the use of MAB in some cases is likely to be limited by cost factors.

During the Dallas Heart Study – a large multi-ethnic study (n = 3138) – Lakoski et al. [13] found that PCSK9 levels correlated significantly (p < 0.001) with fasting serum glucose, insulin, homeostatic model assessment of insulin resistance (HOMA-IR), obesity and diabetes. Another study, which included patients with type 2 diabetes (T2DM) and other metabolic disorders (metabolic syndrome (MetS), obesity and atherogenic dyslipidemia), showed that PCSK9 levels are increased in patients with T2DM and MetS and correlated with an atherogenic lipid profile and insulin resistance parameters [14]. Although precise mechanisms of PCSK9 regulation by insulin are not completely understood, a review of the literature shows that insulin regulates PCSK9 through a dual effect – induction and/or inhibition [15]. It is also well known that metformin is the best choice for reducing the main components of the metabolic syndrome – it reduces weight loss, improves the lipid profile and insulin resistance, and decreases the incidence of T2DM by 40% [16, 17].

Considering all the above, we aimed to study the influence of metformin on the level of circulating PCSK9 in patients with stable coronary artery disease (SCAD) and T2DM or MetS, receiving moderate doses of statins used in routine clinical practice.

Material and methods

The study was carried out on 80 patients who were hospitalized in the Department of Ischemic Heart Disease and Atherosclerosis of the Republican Specialized Center of Cardiology from November 2017 to July 2018 and who were diagnosed with chronic stable coronary artery disease (SCAD) on discharge. The protocol of the study was approved by the Ethics Committee under the Republican Specialized Center of Cardiology.

For the study only patients were taken:

  • With diagnoses T2DM, who, prior to randomization, did not take hypoglycemic drugs other than metformin and/or sulfonylureas and MetS, who took or did not take metformin;

  • Who took a course of statins (rosuvastatin 10–20 mg/day) for at least 3 months prior the study.

MetS was diagnosed based on the Global Consensus Definition of the International Diabetes Federation (IDF) [18]. This definition identified central obesity as an essential component of MetS and defined MetS as a cluster of the most dangerous heart attack risk factors which include central obesity (abdominal obesity as ≥ 94 cm in men or ≥ 80 cm in women) plus any two of four parameters, based on increased triglycerides, lower low-density lipoprotein (HDL) cholesterol, high blood pressure and fasting plasma glucose levels [18].

Exclusion criteria were: New York Heart Association functional class 3 or 4 heart failure; uncontrolled angina; hepatic impairment (based on assessment of liver function tests and liver imaging); renal impairment (estimated glomerular filtration rate < 45 ml/min/1.73 m²); acute illness (temperature, dehydration, severe infection, acute cardiac failure).

Depending on the metformin administration, all patients were divided into 2 groups: group I – patients who took extended-release metformin (dose of 500–1000 mg/day) before dividing into groups (n = 21); group II – patients who did not take metformin before the study (n = 59). After the baseline examination, patients of group I continued to receive rosuvastatin and metformin treatment for 3 months. In group II, all the patients were equally divided into 2 subgroups in an open-label crossover study protocol. Subgroup A consisted of 30 SCAD and T2DM or MetS patients who were treated with rosuvastatin 10–20 mg/day and metformin at a dose of 500 mg/day, and subgroup B had 29 patients who continued treatment with rosuvastatin 10–20 mg/day without metformin. However, in subgroup A, after addition of metformin to the treatment course, 3 patients suffered from gastrointestinal disorders (diarrhea); therefore, metformin was excluded from the treatment. Therefore, in subgroup A the number of patients was 27, in subgroup B it was 29. After 2 weeks in subgroup A, in 27 patients with good tolerability of metformin, its dose was increased to 1000 mg per day, but 3 patients had dyspeptic disorders (diarrhea, nausea or vomiting) and returned to a dose of 500 mg/day.

The basic therapy included antiplatelets (100%), β-blockers (100%), if required, renin-angiotensin system (RAS) blockers (90%) and short-acting nitrates. As noted above, the study did not include patients who took other hypoglycemic drugs other than metformin, with the exception of sulphonylureas, which, as has been proven [19, 20], do not improve insulin resistance, lipid metabolism and the prognosis of patients.

Functional and biochemical studies

To verify the CHD diagnosis, the following tests were performed: 12-lead ECG, echocardiography (EchoCG), 24-h Holter ECG monitoring, exercise stress test and coronary angiography, if required. Carotid artery ultrasound scans were performed at baseline examination and after 3 months with a SIEMENS Acuson X700. The following blood lipid spectrum parameters were studied: total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), very low-density lipoprotein cholesterol (VLDL-C), high-sensitive C-reactive protein (hsCRP), on a Daytona autoanalyzer (Randox, Ireland). The level of PCSK9 in the blood was measured with the enzyme-linked immunoassay, using a commercially available kit: Human Proprotein Convertase 9/PCSK9 ELISA Kit (MULTI SCIENCE, China).

Statistical analysis

Statistical analysis of the data was performed using Statistica 10.0. Obtained data were presented as mean and standard deviation (m ± SD), where the statistical significance of the obtained measurements for compared mean values was determined by Student’s t-test (t) with error probability (p) calculated to check normality of the distribution. In particular, independent samples Student’s t-test was used for between-group analysis and paired samples Student’s t-test was used for repeated measures analysis. If the distribution of studied variables differed from the normal distribution, the non-parametric analysis tests, Wilcoxon signed-rank, to compare two dependent samples, matched samples, or repeated measurements, Mann-Whitney T-test for two independent groups and Kruskal-Wallis ANOVA for multiple independent groups were used. In order to find differences between qualitative statistical measures, the χ2 method was used together with Fisher’s exact test for small samples.


Among the examined 80 patients with T2DM or MetS, 21 patients (group I) took metformin (dose of 500–1000 mg/day) before the beginning of the observation. It was noted that patients of group I (Table I) more commonly had cases of diabetes mellitus (p < 0.001), myocardial infarction (p < 0.001), stroke (p < 0.05) and percutaneous coronary intervention with a stenting history (p < 0.05) compared to the patients of group II (n = 59). This was accompanied by an increased fasting glucose level (p < 0.01) (Table II) and an increase in the thickness of the carotid intima-media complex on the left and right (p < 0.01) in patients of group I, compared to patients of group II (p < 0.05) (Table I).

Table I

Baseline clinical hemodynamic and biochemical parameters of group I and II patients (M ± SD, n (%))

ParametersAll (n = 80)Group I, metformin prior the study (n = 21)Group II, absence of metformin prior the study (n = 59)IIA, with metformin (n = 27)#IIB, without metformin (n = 29)
Average age [years]61.3 ±9.562.0 ±11.761.8 ±8.863.1 ±8.059.7 ±8.9
Sex (male/female)34/46 (43%/57%)8/13 (38%/62%)26/33 (44%/56%)14/13 (52%/48%)12/17 (41%/59%)
BMI [kg/m²]29.0 ±4.928.6 ±3.029.7 ±4.430.4 ±3.828.7 ±5.0
Arterial hypertension (%)100100100100100
Diabetes mellitus, n (%)29 (36)15 (71)***14 (24)9 (33)5 (17)
History of myocardial infarction, n (%)29 (36)14 (67)***15 (25)6 (22)8 (28)
History of stroke, n (%)4 (5)3 (14)*1 (2)1 (4)
Aortocoronary bypass grafting, n (%)8 (10)4 (19)4 (5)2 (11)2 (6)
Percutaneous coronary intervention, n (%)19 (24)9 (43)*10 (17)4 (15)5 (17)
CIMT left [mm]1.11 ±0.171.24 ±0.15**1.04 ±0.211.10 ±0.191.00 ±0.20
CIMT right [mm]1.10 ±0.121.22 ±0.08*1.03 ±0.181.09 ±0.181.00 ±0.19
Presence of atherosclerotic plaque on the left (CCA, ICA), n (%)38 (48)10 (48)28 (48)11 (41)16 (55)
Presence of atherosclerotic plaque on the right (CCA, ICA), n (%)33 (41)8 (38)25 (42)11 (41)14 (45)
% stenosis on the left (CCA, ICA)32.532.832.030.832.9
% stenosis on the right (CCA, ICA)33.135.331.635.931.3
Rosuvastatin average dose (dose range) [mg/day]16.3 (10–20)16.7 (10–20)16.1 (10–20)16.3 (10–20)16.2 (10–20)
Rosuvastatin treatment before the study [months]5.5 ±1.55.8 ±1.85.4 ±1.65.3 ±1.45.4 ±1.7
Sulfonylurea drugs, n (%)21 (26)7 (33)14 (24)9 (33)5 (17)

Values are summarized as mean ± SD, median (interquartile range) and categorical variables as percentage;

# 3 patients excluded due to intolerance to metformin;

* p < 0.05

** p < 0.01

*** p < 0.001 significance of the difference between groups I and II.

CIMT – carotid intima-media thickness, CCA – common carotid artery, ICA-internal carotid artery.

Table II

Dynamics (3 months) of blood lipids, hsCRP and circulating PCSK9 in the studied groups* (M ± SD, n (%))

ParameterI (n = 21)II (n = 59)II, dynamics in subgroups
II A (n = 27)#II B (n = 29)
Baseline3 monthsBaselineBaseline3 monthsBaseline3 months
Total cholesterol (CS) [mg/dl]166.6 ±40.3158.0 ±37.7178.3 ±37.5182.2 ±43.5176.9 ±39.7173.5 ±40.7162.0 ±46.7
TG [mg/dl]189.5 (115–318)149.5 (83–185)155.5 (109–215)160.0 (117–230)132.0 (114–139)152.5 (104–208)126 (91–174)
HDL-C [mg/dl]39.2 ±9.040.8 ±12.143.7 ±8.744.3 ±9.344.6 ±11.643.6 ±9.043.7 ±9.5
LDL-C [mg/dl]82.2 ±39.967.8 ±26.4101.9 ±39.2101.2 ±33.4101.1 ±33.994.5 ±36.388.4 ±36.8
Glucose [mmol/l]8.6 ±2.1**7.9 ±2.56.5 ±1.66.7 ±1.86.0 ±2.06.5 ±1.96.3 ±2.3
C-reactive protein (CRP) [mg/l]6.9 (3.0–8.5)5.4 (4.5–7.4)5.9 (3.2–7.1)6.0 (4.7–7.1)6.6 (4.4–8.3)5.5 (2.1–7.5)5.5 (2.2–7.5)
PCSK9 [ng/ml]581 (450–697)618 (568–703)658 (516–814)772 (526–1083)537 (405–676) ** (***)602 (516–706)787 (667–989) (**)

Values are summarized as mean ± SD, median (interquartile range) and categorical variables as percentage.

* Group I – metformin administered prior the study (n = 21); II, without metformin prior the study (n = 59); II A – metformin added (n = 27); II B – no added metformin (n = 29).

# 3 patients excluded due to intolerance to metformin;

** p < 0.01 – significance of the difference between the subgroups A and B; **

*** p < 0.01, p < 0.001 – significance of the difference compared to the baseline level.

The level of lipids of patients of the two groups did not significantly differ (Table II), as all of the patients took rosuvastatin 10–20 mg/day, at least 3 months before the start of study (Table I). However, despite the predominance of diabetes mellitus and MACE in group I patients, the average level of their circulating PCSK9 was not higher (Table II) compared to group II patients (581 vs. 658 ng/ml, p = 0.10).

After baseline examination, as mentioned above, patients of group II were equally divided into 2 subgroups – IIA (basic treatment + metformin) and IIB (continued basic treatment without metformin) – but 3 patients were excluded from the study due to intolerance of metformin. The subgroups did not differ in the main clinical parameters, structural changes of carotid arteries, lipid levels and hsCRP (Tables I, II). In subgroup A there were 9 (33%) patients with diabetes mellitus, whereas in B only 5 (17%). The level of PCSK9 in subgroups IIA and IIB was 772 vs. 602, respectively (p = 0.10).

Analysis of the dynamics, after three months of observation, showed that the level of lipids did not decrease further in both groups I and II (in both subgroups of group II as well) (Table II). There was no difference in glucose levels after addition of metformin to the therapy of patients in subgroup A (from initial = 6.7 ±1.8 mg/dl to 6.0 ±2.0 mg/dl) after 3 months (p = 0.18).

Ongoing rosuvastatin therapy in group I, did not significantly increase the level of PCSK9, but the level of PCSK9 in patients of group II was different: in subgroup A it decreased significantly compared to the initial level (p < 0.001), whereas in subgroup B it increased (p < 0.01). As a result, addition of metformin to rosuvastatin treatment was accompanied by a decrease in the level of PCSK9 in subgroup A compared to subgroup B (p < 0.01), after 3 months of therapy.


Our results showed that the level of circulating PCSK9 is not significantly distinguished among the patients of both groups with SCAD and DM or MetS, receiving metformin in addition to rosuvastatin (group I), or not receiving it (rosuvastatin only) (group II). However, there were significantly more cases of diabetes mellitus, myocardial infarction, stroke and percutaneous coronary intervention among the patients of group I, compared to group II, which in some cases could be accompanied by a higher level of PCSK9. The correlation between an increase in the level of circulating PCSK9 and the risk of a MACE had been shown in a number of recent studies [21, 22]. In particular, PCSK9 level was associated with insulin levels and HOMA-IR index in patients with stable CAD on statin treatment [7]. The results of the HUNT study in Norway [8] showed that a high level of PCSK9 was positively associated with risk of MI among 1,488 patients with a first incident of MI, and the level of serum PCSK9 was an independent predictor of MACE (death, acute coronary syndrome, and cerebral stroke) in 306 patients with SCAD [9]. On the other hand, the FOURIER randomized controlled trial had shown [23] that the risk of primary endpoints (cardiovascular death, myocardial infarction, stroke, hospital admission for unstable angina, or coronary revascularization) of diabetic patients was decreased by 17% by reducing the level of PCSK9.

The classic UKPDS study (United Kingdom Prospective Diabetes Study), which lasted 11 years, showed for the first time that metformin, regardless of its hypoglycemic action, compared to sulfonylurea and insulin, causes a statistically significant reduction of overall mortality, mortality from diabetes and mortality from myocardial infarction [19]. Treatment with metformin reduces insulin resistance in diabetic patients and therefore reduces the severity of its atherogenic effects [24]. Some studies have shown that metformin treatment reduces the severity of atherogenic dyslipidemia [25]. At the same time, a recent study conducted in Glasgow (“the CAMERA study”) showed that addition of metformin to statins in moderate, not intensive doses, had no effect on CIMT and such parameters as total cholesterol, HDL cholesterol, non-HDL cholesterol, triglycerides, hsCRP, or fasting glucose, but at the same time reduced a number of other important surrogate markers (HbA1c, insulin, HOMA-IR, and tissue plasminogen activator) of cardiovascular disease in non-diabetic patients with high cardiovascular risk [26].

In our study it was also found that addition of metformin to the 3-month statin therapy of group II patients did not significantly affect the level of lipids. However, the level of circulating PCSK9 in subgroup A decreased after 3 months of treatment, compared to subgroup B. At the same time, ongoing metformin treatment in group I patients was not accompanied by a further decrease in the PCSK9 concentration, which possibly testifies about stabilization of its level, instead of the increase, usually caused by statin treatment.

As mentioned above, a number of studies have shown the correlation between insulin resistance, impaired glucose tolerance, diabetes mellitus and increased level of blood PCSK9 [14, 2730], while in others, although this correlation was not confirmed, the role of PCSK9 in dyslipidemia modification was demonstrated [31]. It is known that hepatic PCSK9 expression is regulated by insulin via the sterol regulatory element binding protein I-C (SREBP-1C); thus, PCSK9 is secreted in an insulin-dependent fashion [32], which explains the association of PCSK9 with MetS [33, 34].

Metformin also activates AMPK in hepatocytes, which leads to a decrease in production of fatty acids and a consequent decrease in lipidemia and hepatic steatosis and an increase in the insulin sensitivity of liver cells [35]. Metformin increases activity of AMPK in skeletal muscles, which promotes greater uptake of glucose during contractile processes [36].

It is well known that only MAB, which target PCSK9 in high-risk patient groups, are the only tool which effectively reduces both LDL-C and PCSK9. However, since PCSK9 is involved in insulin-related pathophysiologies, such as MetS and T2DM, the results of research showing that some drugs that can reduce insulin resistance, such as liraglutide, a glucagon-like peptide-1 receptor agonist, can, to various extents, affect PCSK9 metabolism are interesting [37]. Also, recent studies on primary mouse and human hepatocytes provide partial support for the concept that metformin and AMPK activation may provide cardiovascular benefit via increased reverse cholesterol transport, induction of Abcg5 and Abcg8 expression, and indicate increased Ldlr expression as a potential additional mechanism [38].

Considering the above, we can only suggest that the addition of metformin to treatment can reduce the excessive increase of PCSK9 usually caused by statins (one of the possible mechanisms is insulin resistance). After that, it does not affect the basal secretion level of PCSK9 (initially high or low), and therefore it is unpromising in some categories of patients (for example, in familial heterozygous hypercholesterolemia).

The present study has several limitations. The first is the relatively small number of patients, associated with the fact that the study included patients with SCAD and T2DM or MetS who, prior to randomization, did not take hypoglycemic drugs other than metformin and/or sulfonylureas. Secondly, all patients took rosuvastatin in doses that were lower than recommended high-intensity statin therapy. Further research is needed, which should be carried out on a large number of observations.

In conclusion, the addition of metformin to ongoing rosuvastatin therapy did not significantly affect serum lipid levels, but stabilized the level of circulating PCSK9, compared with those without metformin treatment. Ongoing metformin treatment in SCAD patients who took rosuvastatin and metformin prior the study was not accompanied by a further decrease in the PCSK9 concentration, which indirectly indicates only the stabilization of its level instead of the increase usually caused by statin treatment.


The study was supported by a research grant from the Ministry of Innovation Development of the Republic of Uzbekistan (Contract No PZ-20170912103).

Conflict of interest

The authors declare no conflict of interest.



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