Skip to main content
Research Article
Originally Published 11 February 2020
Open Access

FURIN Expression in Vascular Endothelial Cells Is Modulated by a Coronary Artery Disease–Associated Genetic Variant and Influences Monocyte Transendothelial Migration

Journal of the American Heart Association

Abstract

Background

Genome‐wide association studies have shown an association between the single‐nucleotide polymorphism rs17514846 on chromosome 15q26.1 and coronary artery disease susceptibility. The underlying biological mechanism is, however, not fully understood. rs17514846 is located in the FES Upstream Region (FURIN) gene, which is expressed in vascular endothelial cells (ECs). We investigated whether rs17514846 has an influence on FURIN expression in ECs and whether FURIN affects EC behavior.

Methods and Results

Quantitative reverse transcription–polymerase chain reaction analysis showed that cultured vascular ECs from individuals carrying the coronary artery disease risk allele of rs17514846 had higher FURIN expression than cells from noncarriers. In support, luciferase reporter analyses in ECs indicated that the risk allele had higher transcriptional activity than the nonrisk allele. Electrophoretic mobility shift assays using EC nuclear protein extracts detected a DNA‐protein complex with allele‐specific differential binding of a nuclear protein. Knockdown of FURIN in ECs reduced endothelin‐1 secretion, nuclear factor‐κB activity, vascular cell adhesion molecule‐1, and MCP1 (monocyte chemotactic protein‐1) expression and monocyte‐endothelial adhesion and transmigration. A population‐based study showed an association of the rs17514846 risk allele with higher circulating MCP1 levels and greater carotid intima‐media thickness.

Conclusions

The coronary artery disease risk variant at the 15q26.1 locus modulates FURIN expression in vascular ECs. FURIN levels in ECs affect monocyte‐endothelial adhesion and migration.

Clinical Perspective

What Is New?

The coronary artery disease–associated single‐nucleotide polymorphism rs17514846 on chromosome 15q26.1 exerts an allele‐specific effect on FURIN expression in vascular endothelial cells.
The level of FURIN in vascular endothelial cells has an influence on monocyte‐endothelial adhesion and transmigration, mediated by an effect of FURIN on the secretion of endothelin‐1, nuclear factor‐κB activity, and the expression of vascular cell adhesion molecule‐1 and MCP1 (monocyte chemotactic protein‐1).
Individuals carrying the rs17514846 risk allele have higher circulating MCP1 levels and greater carotid intima‐media thickness.

What Are the Clinical Implications?

The results of this study provide new evidence supporting a role of FURIN in the pathogenesis of atherosclerosis and indicating FURIN as a potential therapeutic target for atherosclerosis.

Introduction

Genome‐wide association studies have identified a coronary artery disease (CAD) susceptibility locus on chromosome 15q26.1.1, 2, 3 At this locus, the A allele of the lead single‐nucleotide polymorphism (SNP) rs17514846, located in the FES Upstream Region (FURIN) gene, is associated with increased CAD risk.1, 2, 3 The biological mechanism underlying this genetic association, however, is still not fully understood and warrants further investigation.
The FURIN gene encodes the subtilisin‐like proprotein convertase FURIN, which possesses proteolytic activity to cleave the prodomain off of, and thereby activates, certain proteins. Endothelial cells (ECs), monocytes/macrophages, and smooth muscle cells in human atherosclerotic plaques express FURIN.4 Animal studies have demonstrated that FURIN promotes atherogenesis.5
Our recent study shows that rs17514846 modulates FURIN expression in monocytes and that levels of FURIN in monocytes affect their migratory and proliferative ability,6 which may partly explain the association of rs17514846 with CAD risk.
Because ECs in atherosclerotic plaques also express FURIN4 and because ECs also play a vital role in atherogenesis, we sought, in the present study, to determine whether rs17514846 has an effect on FURIN expression in ECs and investigate the effect of altered FURIN expression on EC functional behavior, with a goal to gain a more complete understanding of the biological mechanism underpinning the genetic association with CAD risk.

Methods

The data that support the findings of this study are available from the corresponding author on reasonable request.

Bioinformatics Analysis

Bioinformatics analysis of the genomic region containing rs17514846 was performed. Histone modification and transcription‐level data at the rs17514846 site in human vascular ECs, reported by Encyclopedia of DNA Elements, were obtained using the University of California, Santa Cruz, Genome Browser (https://genome.ucsc.edu/).

Isolation of Vascular ECs

This study had ethical approval from Queen Mary, University of London (reference: 08/H0704/140). All human tissue samples were fully anonymized before distribution to the recipient analysis groups, as per ethical approval. Venous ECs were isolated from umbilical cords from different individuals using the collagenase digestion method, as previously described.7

Cell Culture

Human umbilical vein ECs (HUVECs) were cultured in M199 media with supplementation, as described previously.8 THP1 monocytic cells were maintained in RPMI‐1640 media, supplemented with 10% (v/v) fetal bovine serum, 100 U/mL penicillin, and 100 μg/mL streptomycin. All cells were cultured in a humidified incubator at 37°C with 5% CO2.

Genotyping

Genomic DNA, extracted from cultured HUVECs of different individuals and from blood samples of Bruneck Study participants, was genotyped for rs17514846 using a TaqMan SNP genotyping assay (C___1244341_10; Applied Biosystems).

Reverse Transcription–Polymerase Chain Reaction

RNA samples, prepared from cultured HUVECs from different individuals, were reverse transcribed using random primers (Promega) and M‐MLV reverse transcriptase (Promega). The resulting cDNA was subjected to real‐time polymerase chain reaction for FURIN and the housekeeping gene 18S rRNA, using TaqMan gene expression assays (Hs00965485_g1 and Hs99999901_s1; Applied Biosystems).

Luciferase Reporter Assay

Two sets of plasmid constructs containing a firefly luciferase reporter gene were generated using the pGL4.10‐promoter vector (Promega). One set of these constructs contained an inserted DNA sequence from nucleotide position chromosome 15:90873290 to chromosome 15:90873350 on the hg38 human reference sequence, with either the A or C allele at the rs17514846 site (chromosome 15:90873320). The other set of constructs contained 3 tandemly repeated copies of the sequence from chromosome 15:90873309 to chromosome 15:90873331, with either the A or C allele at rs17514846. These constructs were individually combined with a Renilla luciferase reference plasmid (pRL‐TK; Promega) and transfected into HUVECs (ATCC; CRL2480). After 48 hours, luciferase assays using the Dual‐Glo Luciferase Assay System (Promega) were performed. Firefly luciferase data were normalized to Renilla to determine the relative activity of the cloned DNA sequences.

Electrophoretic Mobility Shift Assay

Nuclear protein extracts from HUVECs (ATCC; CRL2480) were prepared using the NE‐PER Nuclear and Cytoplasmic Extraction Reagents (ThermoFisher Scientific), according to the manufacturer's protocol. Fluorescein amidite‐labeled, double‐stranded DNA probes corresponding to the sequence (hg38 human reference sequence: chromosome 15:90873308 to chromosome 15:90873332) encompassing the rs17514846 site (chromosome 15:90873320) with either the A or C at this position, were individually incubated with EC nuclear protein extracts, in the presence or absence of unlabeled C or A allele oligonucleotides and an unlabeled unrelated oligonucleotide, respectively. The mixes were subjected to 10% nondenaturing polyacrylamide gel electrophoresis, and free probes and probe‐protein complexes were detected using the LightShift Chemiluminescent EMSA kit (Pierce Biotechnology; 20148). Three independent experiments were performed.

FURIN siRNA and Transfection

HUVECs (ATCC; CRL2480) from a donor of the A/C genotype for rs17514846 at passage 5 were transfected with either a FURIN siRNA (ThermoFisher Scientific; s9988) or a control siRNA (ThermoFisher Scientific; 4390843) using Lipofectamine RNAiMAX transfection reagent (Invitrogen). FURIN knockdown was verified by Western blot.

Monocyte‐Endothelial Adhesion Assay

Peripheral blood–derived primary monocytes, isolated using Dynabeads FlowComp Human CD14 kit (ThermoFisher Scientific; 11367D), were stained with CellTracker Green CMFDA Dye (ThermoFisher Scientific; C7025). Labeled monocytes (1×105 cells per well in 96‐well plates) were then incubated with a monolayer of untreated and siRNA‐transfected HUVECs for 1 hour, followed by washing to remove nonadhered monocytes, fixation, and fluorescence microscopy. The number of adhered monocytes was counted using ImageJ software.

Monocyte‐Endothelial Transmigration Assay

A total of 5×103 HUVECs (ATCC; CRL2480) of the A/C genotype for rs17514846 were seeded in 4.26‐mm diameter transwells with a 5.0‐μm pore size (Corning Costar; 3388) and transfected the next day (at 60%–80% confluence) with either a FURIN siRNA or a control siRNA and cultured for 48 hours to produce a confluent monolayer. Nontransfected controls were also included in all experiments. For transmigration assays, peripheral blood–derived primary monocytes or THP1 monocytes were stained with 2.5 mmol/L CellTracker Green CMFDA Dye (ThermoFisher Scientific; C7025) in serum‐free RPMI‐1640 medium for 30 minutes at 37°C. Monocytes were then washed with serum‐free RPMI‐1640 medium before being added to the transwell (1×105 cells per transwell in 100‐μL media). Migration was allowed to proceed for 4 hours at 37°C. After 4 hours, the transwell insert was removed and transmigration of monocytes was assessed by counting the number of cells that had migrated through the membrane.

Western Blot Analysis

Protein lysates of HUVECs were prepared using Radio Immuno Precipitation Assay (RIPA) Lysis Buffer. Western blot analysis was performed using antibodies against FURIN (Abcam; ab183495), endothelin‐1 (Abcam; ab117757), vascular cell adhesion molecule‐1 (VCAM1) (Abcam; ab174279), MCP1 (monocyte chemotactic protein‐1) (Abcam; ab151538), and beta‐Actin (Sangon Biotech; D110001).

Quantification of Endothelin‐1 by ELISA

The levels of endothelin‐1 in the supernatants of HUVEC cultures were measured using an ELISA kit (R&D Systems; QET00B) and a TECAN Infinite M200 Pro plate reader. Quantification of each sample was performed using a standard curve of known concentrations.

Nuclear Factor κB p65 Transcription Factor Activity Assay

HUVEC nuclear extracts were prepared using the NE‐PER Nuclear and Cytoplasmic Extraction Reagents (ThermoFisher Scientific; 78833). Nuclear factor (NF) κB activity was determined using 9 μg of nuclear extract and an NFκB p65 Transcription Factor Assay Kit (Abcam; ab133112), following the manufacturer's instructions. Absorbance was measured at 450 nm with a TECAN Infinite M200 Pro plate reader.

Bruneck Study Cohort and Measurements of Plasma MCP1 Levels and Carotid Intima‐Media Thickness

The Bruneck Study is a population‐based study of atherosclerosis.9, 10, 11, 12 Recruitment and characteristics of the Bruneck Study cohort have been described previously.9, 10, 11, 12 The study protocol was approved by the appropriate ethics committees, and all study subjects gave written informed consent before entering the study. At the outset of the study in 1990, a sex‐ and age‐stratified random sample of all inhabitants of Bruneck (Bolzano Province, Italy), aged 40 to 79 years (125 women and 125 men in each of the fifth to eighth decade; total n=1000), was drawn and the individuals were invited to take part in the study. A total of 93.6% participated, and data collection was completed for 919 subjects. The cohort was followed up in 1995, 2000, and 2005. DNA was extracted from blood samples taken from individuals (n=826) who took part in the 1995 follow‐up, and used in the present study for genotyping rs17514846. Plasma MCP1 levels in samples taken in 2000 were determined by proximity extension assay13 using Proseek Multiplex CVD I96×96 reagents kits (Olink Bioscience, Sweden). Common carotid intima‐media thickness was determined by Doppler ultrasound examination in 1995, as described previously.9, 10

Statistical Analyses

Statistical analyses were undertaken using SPSS software. Reverse transcription–polymerase chain reaction Ct (cycle threshold)values of FURIN were standardized against 18S rRNA Ct values, using the ΔCt method.14 Standardized FURIN Ct values were normalized by log transformation, and then a linear regression analysis was performed to test for an association between genotype (with C/C, C/A, and A/A coded as 0, 1, and 2, respectively) and log‐transformed standardized FURIN values under an additive genetic model, whereas a t test was performed to ascertain an effect of genotype (with C/C coded as 1 and both C/A and A/A coded as 2) on log‐transformed standardized FURIN values under an A‐allele dominant model. The Mann‐Whitney test was used to ascertain differences between C and A alleles in luciferase activity in the luciferase reporter assays and differences between control siRNA transfected cells versus FURIN siRNA transfected cells in the intensity of Western blot bands of FURIN, endothelin‐1, VCAM1, and MCP1, endothelin‐1 concentration in EC culture supernatants, NFκB activity, monocyte‐endothelial adhesion, and monocyte‐endothelial transmigration. Values of blood MCP1 levels in the Bruneck Study subjects were normalized by log transformation, and a linear regression analysis was then performed to test an association between genotype (with C/C, C/A, and A/A coded as 0, 1, and 2, respectively) in log‐transformed MCP1 levels under an additive genetic model, whereas a general linear model analysis was performed to ascertain an effect of genotype (with C/C coded as 1 and both C/A and A/A coded as 2) on log‐transformed MCP1 levels under an A‐allele dominant model, with adjustment for age and sex in both additive and dominant models. A linear regression analysis was performed to test an association between genotype and carotid intima‐media thickness in Bruneck Study participants with adjustment for age and sex. All P values were 2 sided.

Results

rs17514846 Influences FURIN Expression in ECs

A bioinformatics analysis showed that rs17514846 was located in a genomic region with active transcription in ECs (Figure 1). To determine if there was an allelic/genotypic effect of rs17514846 on FURIN expression in ECs, we genotyped a collection of ECs from different individuals (n=131) for rs17514846 and performed reverse transcription–polymerase chain reaction analysis to quantify FURIN expression levels in the cells. The analysis showed an association between rs17514846 genotype and FURIN expression levels in ECs, with the A allele associating with higher FURIN expression (Figure 2).
image
Figure 1. Results of bioinformatics analysis of the genomic region containing rs17514846. The figure was generated from University of California, Santa Cruz, Genome Browser (https://genome.ucsc.edu) with data from the Encyclopedia of DNA Elements Project showing features of active transcription, including histone modification marks (H3K27Ac, H3K4Me1, and H3K4Me3) and transcription level at the rs17514846 site, in human vascular endothelial cells.
image
Figure 2. Influence of rs17514846 genotype on FURIN expression in vascular endothelial cells. Primary cultures of human vascular endothelial cells from different individuals were genotyped for rs17514846 and subjected to quantitative reverse transcription–polymerase chain reaction analysis of FURIN. The graph shows mean and SE values of FURIN expression levels in each rs17514846 genotype group, after normalization to the 18S rRNA gene and the C/C group.
Having detected an association between rs17514846 genotype and FURIN expression in ECs, we investigated whether rs17514846 can directly modulate gene expression using a luciferase reporter assay. Cultured ECs were transfected with a firefly luciferase reporter plasmid containing either the A or C alleles of rs17514846, together with a Renilla luciferase plasmid to serve as a transfection efficiency control. This assay showed that cells transfected with the A allele plasmid had significantly higher firefly luciferase levels than C allele plasmid transfectants (Figure 3), suggesting that the A allele has greater strength in driving gene expression than the C allele.
image
Figure 3. Effects of rs17514846 on gene transcription regulation. Luciferase reporter assays were performed by transfecting vascular endothelial cells with luciferase plasmids containing 60 bp of DNA encompassing rs17514846 (left) or with luciferase plasmids containing 3, 22‐bp repeats containing rs17514846 (right). Both assays included Renilla luciferase as a transfection efficiency control. Columns and error bars represent mean (normalized to the C allele data) and SE values, respectively. N=3 experiments.
In addition, an electrophoretic mobility shift assay using EC nuclear protein extracts was performed to investigate if there was a difference between the 2 alleles of rs17514846 in nuclear protein binding. We found preferential nuclear protein binding to the labeled C allele probe compared with the labeled A allele probe (lanes 2 and 9, respectively; Figure 4). Moreover, the DNA‐protein complex was hardly detected in the presence of the unlabeled C allele probe as a competitor in 20× molar excess (lane 4; Figure 4). However, it was still readily detectable in the presence of the unlabeled A allele probe (lane 6; Figure 4). These data indicate that the C allele has greater affinity for binding of nuclear proteins compared with the A allele.
image
Figure 4. Allele‐specific effect of rs17514846 on nuclear protein binding. Fluorescence‐labeled double‐stranded 25‐mer oligonucleotide probes corresponding to the sequence encompassing the rs17514846 site, with either C or A at the rs17514846 site, were individually incubated with or without vascular endothelial cell nuclear protein extracts, in the presence or absence of unlabeled C allele oligonucleotide, unlabeled A allele oligonucleotide, or an unrelated oligonucleotide, respectively, followed by nondenaturing PAGE and fluorescence detection of the labeled probes. Arrows indicate a DNA‐protein complex and the free probe. Image shown is a representative from 3 experiments.

FURIN Promotes Monocyte‐Endothelial Adhesion and Transmigration

We previously demonstrated that monocyte FURIN levels influenced the ability of monocytes to migrate through a polycarbonate membrane (with 8‐μm pores) in a transwell assay.6 In the present study, we further investigated whether the level of FURIN in ECs had an effect on monocyte‐endothelial adhesion and monocyte transendothelial migration. Adhesion assays and migration assays using blood‐derived primary monocytes showed that siRNA‐mediated FURIN knockdown in ECs (Figure 5A) inhibited monocyte adhesion to ECs (Figure 5B) and retarded monocyte transendothelial migration (Figure 5C). Migration assays using THP1 monocytes also showed a trend toward reduced transendothelial migration when FURIN was knocked down in ECs (Figure 5D).
image
Figure 5. FURIN in vascular endothelial cells affects monocyte‐endothelial adhesion and transmigration. A, Western blot analysis of untreated and siRNA‐transfected endothelial cells at 72 hours after transfection was used to confirm successful knockdown of FURIN. A representative Western blot image is shown. Band intensities were normalized to β‐actin, N=9 per group. B, Results of monocyte‐endothelial adhesion assay. Peripheral blood–derived primary monocytes were stained with CellTracker Green CMFDA and then incubated with a monolayer of untreated and siRNA‐transfected endothelial cells for 1 hour, followed by washing to remove nonadhered THP1 cells, fixation, and fluorescence microscopy. The number of adhered THP1 cells was counted using ImageJ software. N=5 per group. C and D, Result of monocyte‐endothelial transmigration assay. Peripheral blood–derived primary monocytes (C) or THP1 monocytes (D) were stained with CellTracker Green CMFDA and then incubated with a confluent monolayer of untreated and siRNA‐transfected endothelial cells cultured on 96‐well transwells. After 4 hours, the number of THP1 cells that had migrated into the lower chamber was counted. N=8 per group (C), and N=6 per group (D). A through D, Graphs show mean values normalized to untreated samples, and error bars show SE.

FURIN Influences Endothelin‐1 Secretion, NFκB Activity, and Expression of VCAM1 and MCP1

To investigate possible reasons for the observed inhibitory effect of FURIN knockdown on monocyte‐endothelial adhesion and transmigration, we first tested whether FURIN knockdown affected endothelin‐1 secretion because a previous study showed that in mice, EC‐specific knockout of FURIN resulted in a substantial decrease in mature endothelin‐1.15 We found that knockdown of FURIN in cultured human ECs resulted in no change in cytoplasmic endothelin‐1 (Figure 6A) but led to a reduction in secreted endothelin‐1 (Figure 6B), suggesting a role of FURIN on endothelin‐1 processing and secretion in human ECs.
image
Figure 6. Effects of FURIN knockdown endothelin‐1 (ET1) secretion, nuclear factor (NF) κB activity, and MCP1 (monocyte chemotactic protein‐1) expression in vascular endothelial cells. FURIN siRNA‐transfected endothelial cells at 72 hours after transfection were subjected to Western blotting or ELISA. A, Western blot analysis of cellular ET1. A representative Western blot image is shown. ET1 band intensities were normalized to β‐actin band intensities. N=6 per group. B, ELISA analysis of secreted ET1 in cell culture supernatant. N=6 per group. C, ELISA analysis of nuclear NFκB activity. N=10 per group. D, Western blot analysis of vascular cell adhesion molecule‐1 (VCAM1). A representative Western blot image is shown. VCAM1 band intensities were normalized to β‐actin band intensities. N=9 per group. E, Western blot analysis of MCP1. A representative Western blot image is shown. MCP1 band intensities were normalized to β‐actin band intensities. N=7 per group. A through E, Graphs show mean values normalized to untreated samples, and error bars show SE.
Having confirmed that FURIN played a role in endothelin‐1 secretion, we tested whether FURIN had an effect on the activity of the transcription factor NFκB in ECs, as previous studies showed that endothelin‐1 induced NFκB activation in cancer cells.16, 17 Our study demonstrated that FURIN knockdown in cultured ECs resulted in reduced NFκB activity (Figure 6C), indicating a role of FURIN in NFκB activity regulation in ECs.
Because NFκB plays a critical role in the expression of VCAM118 and MCP1,19 which are key mediators of monocyte‐endothelial adhesion and transmigration,20 we investigated whether FURIN had an effect on VCAM1 and MCP1 expression. We found that FURIN knockdown resulted in decreased expression of VCAM1 and MCP1 in ECs (Figure 6D and 6E), which is likely to account for, at least in part, the effect of FURIN on monocyte‐endothelial adhesion and transmigration.
Furthermore, we found that there was an association between the A allele of SNP rs17514846 and higher circulating MCP1 levels in a cohort of individuals who participated in a population‐based study of atherosclerosis, the Bruneck Study9, 10, 11, 12 (Figure 7). We did not detect an association between rs17514846 genotype and the level of circulating VCAM1, intercellular adhesion molecule 1, E‐selection, or P‐selectin in the Bruneck Study cohort.
image
Figure 7. Association between rs17514846 genotype and circulating MCP1 (monocyte chemotactic protein‐1) levels. Blood samples from Bruneck Study participants were subjected to DNA extraction and genotyping for rs17514846. Plasma MCP1 levels were determined by proximity extension assay.

rs17514846 Is Associated With Carotid Intima‐Media Thickness

Further to the findings described above, we investigated if there was an association between rs17514846 genotype and carotid intima‐media thickness, a well‐established biomarker of early atherosclerosis and a predictor of future cardiovascular events.21, 22 An analysis of individuals participating in the Bruneck Study showed an association between the A allele of rs17514846 and greater carotid intima‐media thickness (Table), which remained significant after adjusting for age and sex.
Table 1. Association Between rs17514846 Genotype and cIMT
VariableC/C (n=247)A/C (n=401)A/A (n=152)P Value
cIMT, mm0.934 (0.013)0.943 (0.010)0.978 (0.017)0.046
cIMT values shown are age‐ and sex‐adjusted means (SEs). P value shown is for an additive genetic model. cIMT indicates carotid artery intima‐media thickness.

Discussion

It has been shown that in human atherosclerotic plaques, ECs express FURIN.4 A key new finding of our present study is that the CAD‐associated SNP rs17514846 at the 15q26.1 locus modulates the expression of FURIN in ECs, with the CAD risk (A) allele having higher FURIN expression levels than the nonrisk (C) allele. This complements our previously reported observation that rs17514846 genotype affects FURIN expression in monocytes,6 indicating that the CAD‐associated variant exerts a regulatory effect on FURIN expression in both cell types that are known to play pivotal roles in the development and progression of atherosclerosis.20, 23 The rs17514846 resides in intron 1 of the FURIN gene and is located in a genomic region with enriched binding of transcription factors, as indicated by histone 3 lysine 27 acetylation marks (Figure 1). Electrophoretic mobility shift assays, performed as part of our study, indicated that rs17514846 has an allele‐specific effect on the binding of a nuclear protein present in vascular ECs, which might possibly play a role in mediating the effect of rs17514846 on FURIN expression. The findings of our study are consistent with the accumulating evidence that intronic SNPs in many genes can modulate gene expression.24, 25
Second, our study demonstrates that the level of FURIN in ECs exerts an effect on monocyte‐endothelial adhesion and transmigration. This finding is in line with, and extends on, our previous observation that FURIN levels in monocytes influence monocytes’ migratory ability.6 There is evidence suggesting that FURIN may regulate endothelin‐1 activity by cleaving intracellular pro–endothelin‐1 and thereby facilitating the secretion of active endothelin‐1.26, 27 In agreement, our study shows that FURIN knockdown resulted in reduced secretion of endothelin‐1 but had no effect on cytoplasmic endothelin‐1 levels. Endothelin‐1 has been found to induce activation of NFκB,16, 17 a transcription factor that regulates the expression of genes associated with endothelial dysfunction and inflammation.28 In our study, NFκB activity and the expression of VCAM1 and MCP1 in ECs were significantly reduced after FURIN knockdown, indicating that FURIN can influence endothelin‐1 secretion, NFκB activity, and, in turn, VCAM1 and MCP1 expression. This can explain the finding of our study that FURIN knockdown inhibited monocyte‐endothelial adhesion and monocyte transendothelial migration, as it is well established that VCAM1 and MCP1 play key roles in monocyte recruitment in atherogenesis.20 Furthermore, consistent with the notion that an alteration in FURIN level can lead to a change in MCP1 expression, we found that there was an association between rs17514846 and plasma MCP1 levels in the Bruneck Study cohort, with the CAD risk (A) allele associating with higher levels of MCP1. MCP1 levels in individuals of the A/C genotype were similar to those in individuals of the A/A genotype, suggesting that the A allele might exert a dominant effect. Interestingly, the results of measurement of FURIN expression level in ECs from different individuals showed that the difference in FURIN expression level in ECs between A/A and A/C genotypes was smaller than that between the A/C and C/C genotype. Unlike the finding for MCP1, we did not detect an association between rs17514846 genotype and the level of circulating VCAM1, intercellular adhesion molecule 1, E‐selection, or P‐selectin in the Bruneck Study cohort. It is possible that this cohort did not have sufficient statistical power for these tests because of its moderate sample size.
Thus, the data we have obtained demonstrate that rs17514846 genotype affects FURIN expression in ECs and that altered FURIN level can influence VCAM1 and MCP1 expression and monocyte‐endothelial adhesion and transmigration. Furthermore, in a population‐based cohort study, we observed an association between the rs17514846 risk (A) allele and greater carotid intima‐media thickness, a well‐established biomarker of early atherosclerosis and a predictor of future cardiovascular events.21, 22 These findings provide an insight into the biological mechanisms linking the 15q26.1 locus and CAD risk. They also indicate FURIN as a potential therapeutic target for atherosclerosis. In support of this notion, a recent study showed that FURIN inhibition reduces atherosclerotic lesion progression in mice.5
Furthermore, the results of our study add to the accumulating evidence indicating that FURIN plays important roles in inflammation. In agreement with the findings reported herein and in our recent study,6 Yakala et al demonstrated in a mouse model that FURIN inhibitor treatment resulted in decreased expression of inflammatory and cytokine genes in vascular ECs and macrophages and reduced monocyte migration.5 Furthermore, Kappert et al showed that FURIN promotes adipose tissue–driven macrophage chemotaxis.29 On the other hand, Cordova et al reported that mice with myeloid cell–specific deletion of FURIN displayed an increased number of proinflammatory macrophages and increased proinflammatory gene expression in their macrophages.30 It is possible that FURIN may play divergent roles in inflammation in different situations, and further investigations in this area would be warranted.

Sources of Funding

We are thankful for the support of the British Heart Foundation (BHF) (PG/16/9/31995, RG/16/13/32609, RG/19/9/34655, PG/18/73/34059, and SP/19/2/344612) and the National Natural Science Foundation of China (81370202 and 81800364). This work falls under the portfolio of research conducted within the National Institute for Health Research Leicester Biomedical Research Centre. Dr Mayr is a BHF Chair Holder (CH/16/3/32406) with BHF program grant support (RG/16/14/32397). The research was also supported by the National Institute of Health Research Biomedical Research Centre, based at Guy's and St Thomas’ National Health Service Foundation Trust and King's College London, in partnership with King's College Hospital and by the excellence initiative VASCage (Centre for Promoting Vascular Health in the Ageing Community), an R&D K‐Centre (COMET program: Competence Centers for Excellent Technologies) funded by the Austrian Ministry for Transport, Innovation and Technology, the Austrian Ministry for Digital and Economic Affairs and the federal states Tyrol, Salzburg, and Vienna. Dr Willeit was supported by the Translational‐Research‐Programme grant “Tyrol Score,” funded by the “Land Tirol.”

Disclosures

None.

References

1.
CARDIoGRAMplusC4D Consortium, Deloukas P, Kanoni S, Willenborg C, Farrall M, Assimes TL, Thompson JR, Ingelsson E, Saleheen D, Erdmann J, Goldstein BA, Stirrups K, Konig IR, Cazier JB, Johansson A, Hall AS, Lee JY, Willer CJ, Chambers JC, Esko T, Folkersen L, Goel A, Grundberg E, Havulinna AS, Ho WK, Hopewell JC, Eriksson N, Kleber ME, Kristiansson K, Lundmark P, Lyytikainen LP, Rafelt S, Shungin D, Strawbridge RJ, Thorleifsson G, Tikkanen E, Van Zuydam N, Voight BF, Waite LL, Zhang W, Ziegler A, Absher D, Altshuler D, Balmforth AJ, Barroso I, Braund PS, Burgdorf C, Claudi‐Boehm S, Cox D, Dimitriou M, Do R; DIAGRAM Consortium, CARDIOGENICS Consortium, Doney AS, El Mokhtari N, Eriksson P, Fischer K, Fontanillas P, Franco‐Cereceda A, Gigante B, Groop L, Gustafsson S, Hager J, Hallmans G, Han BG, Hunt SE, Kang HM, Illig T, Kessler T, Knowles JW, Kolovou G, Kuusisto J, Langenberg C, Langford C, Leander K, Lokki ML, Lundmark A, McCarthy MI, Meisinger C, Melander O, Mihailov E, Maouche S, Morris AD, Muller‐Nurasyid M; Mu TC, Nikus K, Peden JF, Rayner NW, Rasheed A, Rosinger S, Rubin D, Rumpf MP, Schafer A, Sivananthan M, Song C, Stewart AF, Tan ST, Thorgeirsson G, van der Schoot CE, Wagner PJ; Wellcome Trust Case Control Consortium, Wells GA, Wild PS, Yang TP, Amouyel P, Arveiler D, Basart H, Boehnke M, Boerwinkle E, Brambilla P, Cambien F, Cupples AL, de Faire U, Dehghan A, Diemert P, Epstein SE, Evans A, Ferrario MM, Ferrieres J, Gauguier D, Go AS, Goodall AH, Gudnason V, Hazen SL, Holm H, Iribarren C, Jang Y, Kahonen M, Kee F, Kim HS, Klopp N, Koenig W, Kratzer W, Kuulasmaa K, Laakso M, Laaksonen R, Lee JY, Lind L, Ouwehand WH, Parish S, Park JE, Pedersen NL, Peters A, Quertermous T, Rader DJ, Salomaa V, Schadt E, Shah SH, Sinisalo J, Stark K, Stefansson K, Tregouet DA, Virtamo J, Wallentin L, Wareham N, Zimmermann ME, Nieminen MS, Hengstenberg C, Sandhu MS, Pastinen T, Syvanen AC, Hovingh GK, Dedoussis G, Franks PW, Lehtimaki T, Metspalu A, Zalloua PA, Siegbahn A, Schreiber S, Ripatti S, Blankenberg SS, Perola M, Clarke R, Boehm BO, O'Donnell C, Reilly MP, Marz W, Collins R, Kathiresan S, Hamsten A, Kooner JS, Thorsteinsdottir U, Danesh J, Palmer CN, Roberts R, Watkins H, Schunkert H, Samani NJ. Large‐scale association analysis identifies new risk loci for coronary artery disease. Nat Genet. 2013;45:25–33.
2.
Nikpay M, Goel A, Won HH, Hall LM, Willenborg C, Kanoni S, Saleheen D, Kyriakou T, Nelson CP, Hopewell JC, Webb TR, Zeng L, Dehghan A, Alver M, Armasu SM, Auro K, Bjonnes A, Chasman DI, Chen S, Ford I, Franceschini N, Gieger C, Grace C, Gustafsson S, Huang J, Hwang SJ, Kim YK, Kleber ME, Lau KW, Lu X, Lu Y, Lyytikainen LP, Mihailov E, Morrison AC, Pervjakova N, Qu L, Rose LM, Salfati E, Saxena R, Scholz M, Smith AV, Tikkanen E, Uitterlinden A, Yang X, Zhang W, Zhao W, de Andrade M, de Vries PS, van Zuydam NR, Anand SS, Bertram L, Beutner F, Dedoussis G, Frossard P, Gauguier D, Goodall AH, Gottesman O, Haber M, Han BG, Huang J, Jalilzadeh S, Kessler T, Konig IR, Lannfelt L, Lieb W, Lind L, Lindgren CM, Lokki ML, Magnusson PK, Mallick NH, Mehra N, Meitinger T, Memon FU, Morris AP, Nieminen MS, Pedersen NL, Peters A, Rallidis LS, Rasheed A, Samuel M, Shah SH, Sinisalo J, Stirrups KE, Trompet S, Wang L, Zaman KS, Ardissino D, Boerwinkle E, Borecki IB, Bottinger EP, Buring JE, Chambers JC, Collins R, Cupples LA, Danesh J, Demuth I, Elosua R, Epstein SE, Esko T, Feitosa MF, Franco OH, Franzosi MG, Granger CB, Gu D, Gudnason V, Hall AS, Hamsten A, Harris TB, Hazen SL, Hengstenberg C, Hofman A, Ingelsson E, Iribarren C, Jukema JW, Karhunen PJ, Kim BJ, Kooner JS, Kullo IJ, Lehtimaki T, Loos RJ, Melander O, Metspalu A, Marz W, Palmer CN, Perola M, Quertermous T, Rader DJ, Ridker PM, Ripatti S, Roberts R, Salomaa V, Sanghera DK, Schwartz SM, Seedorf U, Stewart AF, Stott DJ, Thiery J, Zalloua PA, O'Donnell CJ, Reilly MP, Assimes TL, Thompson JR, Erdmann J, Clarke R, Watkins H, Kathiresan S, McPherson R, Deloukas P, Schunkert H, Samani NJ, Farrall M; CARDIoGRAMplusC4D Consortium . A comprehensive 1,000 genomes‐based genome‐wide association meta‐analysis of coronary artery disease. Nat Genet. 2015;47:1121–1130.
3.
van der Harst P, Verweij N. Identification of 64 novel genetic loci provides an expanded view on the genetic architecture of coronary artery disease. Circ Res. 2018;122:433–443.
4.
Stawowy P, Kallisch H, Borges Pereira Stawowy N, Stibenz D, Veinot JP, Grafe M, Seidah NG, Chretien M, Fleck E, Graf K. Immunohistochemical localization of subtilisin/kexin‐like proprotein convertases in human atherosclerosis. Virchows Arch. 2005;446:351–359.
5.
Yakala GK, Cabrera‐Fuentes HA, Crespo‐Avilan GE, Rattanasopa C, Burlacu A, George BL, Anand K, Mayan DC, Corliano M, Hernandez‐Resendiz S, Wu Z, Schwerk AMK, Tan ALJ, Trigueros‐Motos L, Chevre R, Chua T, Kleemann R, Liehn EA, Hausenloy DJ, Ghosh S, Singaraja RR. FURIN inhibition reduces vascular remodeling and atherosclerotic lesion progression in mice. Arterioscler Thromb Vasc Biol. 2019;39:387–401.
6.
Zhao G, Yang W, Wu J, Chen B, Yang X, Chen J, McVey DG, Andreadi C, Gong P, Webb TR, Samani NJ, Ye S. Influence of a coronary artery disease‐associated genetic variant on FURIN expression and effect of furin on macrophage behavior. Arterioscler Thromb Vasc Biol. 2018;38:1837–1844.
7.
Baudin B, Bruneel A, Bosselut N, Vaubourdolle M. A protocol for isolation and culture of human umbilical vein endothelial cells. Nat Protoc. 2007;2:481–485.
8.
Zhang R, Witkowska K, Afonso Guerra‐Assuncao J, Ren M, Ng FL, Mauro C, Tucker AT, Caulfield MJ, Ye S. A blood pressure‐associated variant of the SLC39A8 gene influences cellular cadmium accumulation and toxicity. Hum Mol Genet. 2016;25:4117–4126.
9.
Kiechl S, Willeit J. The natural course of atherosclerosis, part I: incidence and progression. Arterioscler Thromb Vasc Biol. 1999;19:1484–1490.
10.
Kiechl S, Willeit J; Bruneck Study Group . The natural course of atherosclerosis, part II: vascular remodeling. Arterioscler Thromb Vasc Biol. 1999;19:1491–1498.
11.
Kiechl S, Lorenz E, Reindl M, Wiedermann CJ, Oberhollenzer F, Bonora E, Willeit J, Schwartz DA. Toll‐like receptor 4 polymorphisms and atherogenesis. N Engl J Med. 2002;347:185–192.
12.
Ye S, Willeit J, Kronenberg F, Xu Q, Kiechl S. Association of genetic variation on chromosome 9p21 with susceptibility and progression of atherosclerosis: a population‐based, prospective study. J Am Coll Cardiol. 2008;52:378–384.
13.
Assarsson E, Lundberg M, Holmquist G, Bjorkesten J, Thorsen SB, Ekman D, Eriksson A, Rennel Dickens E, Ohlsson S, Edfeldt G, Andersson AC, Lindstedt P, Stenvang J, Gullberg M, Fredriksson S. Homogenous 96‐plex PEA immunoassay exhibiting high sensitivity, specificity, and excellent scalability. PLoS One. 2014;9:e95192.
14.
Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real‐time quantitative PCR and the 2(‐Delta Delta C(T)) Method. Methods. 2001;25:402–408.
15.
Kim W, Essalmani R, Szumska D, Creemers JW, Roebroek AJ, D'Orleans‐Juste P, Bhattacharya S, Seidah NG, Prat A. Loss of endothelial furin leads to cardiac malformation and early postnatal death. Mol Cell Biol. 2012;32:3382–3391.
16.
Cianfrocca R, Tocci P, Semprucci E, Spinella F, Di Castro V, Bagnato A, Rosano L. Beta‐arrestin 1 is required for endothelin‐1‐induced NF‐kappaB activation in ovarian cancer cells. Life Sci. 2014;118:179–184.
17.
Felx M, Guyot MC, Isler M, Turcotte RE, Doyon J, Khatib AM, Leclerc S, Moreau A, Moldovan F. Endothelin‐1 (Et‐1) promotes MMP‐2 and MMP‐9 induction involving the transcription factor NF‐kappaB in human osteosarcoma. Clin Sci (Lond). 2006;110:645–654.
18.
Shu HB, Agranoff AB, Nabel EG, Leung K, Duckett CS, Neish AS, Collins T, Nabel GJ. Differential regulation of vascular cell adhesion molecule 1 gene expression by specific NF‐kappa B subunits in endothelial and epithelial cells. Mol Cell Biol. 1993;13:6283–6289.
19.
Ueda A, Okuda K, Ohno S, Shirai A, Igarashi T, Matsunaga K, Fukushima J, Kawamoto S, Ishigatsubo Y, Okubo T. NF‐kappa B and Sp1 regulate transcription of the human monocyte chemoattractant protein‐1 gene. J Immunol. 1994;153:2052–2063.
20.
Libby P. Inflammation in atherosclerosis. Nature. 2002;420:868–874.
21.
Lorenz MW, Markus HS, Bots ML, Rosvall M, Sitzer M. Prediction of clinical cardiovascular events with carotid intima‐media thickness: a systematic review and meta‐analysis. Circulation. 2007;115:459–467.
22.
O'Leary DH, Polak JF, Kronmal RA, Manolio TA, Burke GL, Wolfson SK Jr; Cardiovascular Health Study Collaborative Research Group . Carotid‐artery intima and media thickness as a risk factor for myocardial infarction and stroke in older adults. N Engl J Med. 1999;340:14–22.
23.
Ross R. The pathogenesis of atherosclerosis: a perspective for the 1990s. Nature. 1993;362:801–809.
24.
Cooper DN. Functional intronic polymorphisms: buried treasure awaiting discovery within our genes. Hum Genomics. 2010;4:284–288.
25.
Yang W, Ng FL, Chan K, Pu X, Poston RN, Ren M, An W, Zhang R, Wu J, Yan S, Situ H, He X, Chen Y, Tan X, Xiao Q, Tucker AT, Caulfield MJ, Ye S. Coronary‐heart‐disease‐associated genetic variant at the COL4A1/COL4A2 locus affects COL4A1/COL4A2 expression, vascular cell survival, atherosclerotic plaque stability and risk of myocardial infarction. PLoS Genet. 2016;12:e1006127.
26.
Denault JB, Claing A, D'Orleans‐Juste P, Sawamura T, Kido T, Masaki T, Leduc R. Processing of proendothelin‐1 by human furin convertase. FEBS Lett. 1995;362:276–280.
27.
Blais V, Fugere M, Denault JB, Klarskov K, Day R, Leduc R. Processing of proendothelin‐1 by members of the subtilisin‐like pro‐protein convertase family. FEBS Lett. 2002;524:43–48.
28.
Collins T, Cybulsky MI. NF‐kappaB: pivotal mediator or innocent bystander in atherogenesis? J Clin Invest. 2001;107:255–264.
29.
Kappert K, Meyborg H, Fritzsche J, Urban D, Kruger J, Wellnhofer E, Kintscher U, Fleck E, Stawowy P. Proprotein convertase subtilisin/kexin type 3 promotes adipose tissue‐driven macrophage chemotaxis and is increased in obesity. PLoS One. 2013;8:e70542.
30.
Cordova ZM, Gronholm A, Kytola V, Taverniti V, Hamalainen S, Aittomaki S, Niininen W, Junttila I, Ylipaa A, Nykter M, Pesu M. Myeloid cell expressed proprotein convertase FURIN attenuates inflammation. Oncotarget. 2016;7:54392–54404.

eLetters(0)

eLetters should relate to an article recently published in the journal and are not a forum for providing unpublished data. Comments are reviewed for appropriate use of tone and language. Comments are not peer-reviewed. Acceptable comments are posted to the journal website only. Comments are not published in an issue and are not indexed in PubMed. Comments should be no longer than 500 words and will only be posted online. References are limited to 10. Authors of the article cited in the comment will be invited to reply, as appropriate.

Comments and feedback on AHA/ASA Scientific Statements and Guidelines should be directed to the AHA/ASA Manuscript Oversight Committee via its Correspondence page.

Information & Authors

Information

Published In

Go to Journal of the American Heart Association
Go to Journal of the American Heart Association
Journal of the American Heart Association
PubMed: 32067586

History

Received: 16 August 2019
Accepted: 12 December 2019
Published online: 11 February 2020
Published in print: 18 February 2020

Permissions

Request permissions for this article.

Keywords

  1. coronary artery disease
  2. endothelial cells
  3. FURIN
  4. single‐nucleotide polymorphism

Subjects

Notes

(J Am Heart Assoc. 2020;9:e014333. https://doi.org/10.1161/JAHA.119.014333.)

Authors

Affiliations

Xu Yang, MSc
Shantou University Medical College Shantou China
Second Affiliated Hospital of Shantou University Medical College Shantou China
Wei Yang, MSc
Shantou University Medical College Shantou China
David G. McVey, PhD
Department of Cardiovascular Sciences and National Institute for Health Research Leicester Biomedical Research Centre University of Leicester United Kingdom
Guojun Zhao, PhD
Shantou University Medical College Shantou China
The Sixth Affiliated Hospital of Guangzhou Medical University Qingyuan City People's Hospital Qingyuan China
Jinfu Hu, MBBS
Shantou University Medical College Shantou China
Robin N. Poston, MD
William Harvey Research Institute Queen Mary University of London London United Kingdom
Meixia Ren, PhD
Department of Geriatric Medicine Fujian Provincial Hospital Fuzhou China
Karin Willeit, PhD
Department of Neurology Bern University Hospital University of Bern Switzerland
Stefan Coassin, PhD
Institute of Genetic Epidemiology Medical University of Innsbruck Innsbruck Austria
Johann Willeit, MD
Department of Neurology Medical University of Innsbruck Innsbruck Austria
Thomas R. Webb, PhD
Department of Cardiovascular Sciences and National Institute for Health Research Leicester Biomedical Research Centre University of Leicester United Kingdom
Nilesh J. Samani, MD
Department of Cardiovascular Sciences and National Institute for Health Research Leicester Biomedical Research Centre University of Leicester United Kingdom
Manuel Mayr, MD, PhD
Cardiovascular Division King's College London London United Kingdom
Stefan Kiechl, MD
Department of Neurology Medical University of Innsbruck Innsbruck Austria
Shu Ye, MD, PhD* [email protected]
Shantou University Medical College Shantou China
Department of Cardiovascular Sciences and National Institute for Health Research Leicester Biomedical Research Centre University of Leicester United Kingdom

Notes

*
Correspondence to: Shu Ye, MD, PhD, Shantou University Medical College, No. 22 Xinling Road, Shantou 515041, China. E‐mail: [email protected]

Funding Information

British Heart Foundation: PG/16/9/31995, RG/16/13/32609, RG/19/9/34655, PG/18/73/34059, SP/19/2/344612, CH/16/3/32406, RG/16/14/32397
National Institute of Health Research Biomedical Research Centre,
VASCage
Austrian Ministry for Digital and Economic Affairs
Tyrol Score
Land Tirol

Metrics & Citations

Metrics

Citations

Download Citations

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Select your manager software from the list below and click Download.

  1. The Role of Furin and Its Therapeutic Potential in Cardiovascular Disease Risk, International Journal of Molecular Sciences, 25, 17, (9237), (2024).https://doi.org/10.3390/ijms25179237
    Crossref
  2. Genome-Wide and Exome-Wide Association Study Identifies Genetic Underpinning of Comorbidity between Myocardial Infarction and Severe Mental Disorders, Biomedicines, 12, 10, (2298), (2024).https://doi.org/10.3390/biomedicines12102298
    Crossref
  3. Enhancing prediction accuracy of coronary artery disease through machine learning-driven genomic variant selection, Journal of Translational Medicine, 22, 1, (2024).https://doi.org/10.1186/s12967-024-05090-1
    Crossref
  4. Functional Roles of Furin in Cardio-Cerebrovascular Diseases, ACS Pharmacology & Translational Science, 7, 3, (570-585), (2024).https://doi.org/10.1021/acsptsci.3c00325
    Crossref
  5. Application of proteomics for novel drug discovery and risk prediction optimisation in stroke and myocardial infarction: a review of in-human studies, Drug Discovery Today, 29, 11, (104186), (2024).https://doi.org/10.1016/j.drudis.2024.104186
    Crossref
  6. COVID-19: A Comprehensive Review on Cardiovascular Alterations, Immunity, and Therapeutics in Older Adults, Journal of Clinical Medicine, 12, 2, (488), (2023).https://doi.org/10.3390/jcm12020488
    Crossref
  7. The Genetics of Coronary Artery Disease: A Vascular Perspective, Cells, 12, 18, (2232), (2023).https://doi.org/10.3390/cells12182232
    Crossref
  8. Genome-wide association studies of cardiovascular disease, Physiological Reviews, 103, 3, (2039-2055), (2023).https://doi.org/10.1152/physrev.00024.2022
    Crossref
  9. Massively parallel functional dissection of schizophrenia-associated noncoding genetic variants, Cell, 186, 23, (5165-5182.e33), (2023).https://doi.org/10.1016/j.cell.2023.09.015
    Crossref
  10. Association of single nucleotide polymorphisms with dyslipidemia and risk of metabolic disorders in the State of Qatar, Molecular Genetics & Genomic Medicine, 11, 8, (2023).https://doi.org/10.1002/mgg3.2178
    Crossref
  11. See more
Loading...

View Options

View options

PDF and All Supplements

Download PDF and All Supplements

PDF/EPUB

View PDF/EPUB
Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Personal login Institutional Login
Purchase Options

Purchase this article to access the full text.

Purchase access to this article for 24 hours

Restore your content access

Enter your email address to restore your content access:

Note: This functionality works only for purchases done as a guest. If you already have an account, log in to access the content to which you are entitled.

Figures

Tables

Media

Share

Share

Share article link

Share

Comment Response