MiR‑30e and miR‑92a are related to atherosclerosis by targeting ABCA1

  • Authors:
    • Zhisheng Wang
    • Jiayun Zhang
    • Songlan Zhang
    • Shifang Yan
    • Zihui Wang
    • Chao Wang
    • Xiaojiang Zhang
  • View Affiliations

  • Published online on: February 25, 2019     https://doi.org/10.3892/mmr.2019.9983
  • Pages: 3298-3304
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Abstract

Atherosclerosis is a chronic disease characterized by the accumulation of lipids and fibrous elements in the large arteries, which is the principal cause of coronary artery disease. Dysregulated exosomal microRNA (miRNA) levels in serum have been identified in patients with various diseases, including CAD. In the present study, nine candidate miRNAs were detected in the plasma exosome from 42 patients with coronary atherosclerosis, and a higher expression of miR‑30e and miR‑92a was identified in patients. Following bioinformatics analysis and confirmation through immunoblotting, it was demonstrated that ATP binding cassette (ABC)A1 is a direct target of miR‑30e, and miR‑92a. Furthermore, a negative correlation was identified between plasma miR‑30e and ABCA1, or miR‑30e and cholesterol. Thus, the results of the present study suggest that the miR‑30e level in exosomes from serum may have the potential to be a novel diagnostic biomarker for coronary atherosclerosis.

Introduction

Atherosclerosis, a chronic disease characterized by the accumulation of lipids and fibrous elements in the large arteries, is the principal cause of CAD, a leading cause of morbidity and mortality worldwide (1). Plasma high-density lipoprotein (HDL) is thought to be a sterol transporter which is a protective factor against atherosclerosis. Meanwhile, the inverse correlation between plasma HDL-C and the incidence of atherosclerosis is well established (2,3).

The formation of HDL occurs in the liver and intestine. The interaction between lipid poor apolipoprotein A1 (ApoA1) with the ATP binding cassette A1 (ABCA1) mediates this first step in HDL formation (4). ABCA1 is a member of the ABC family of membrane transporters that promotes phospholipid and cholesterol transfer from cells to poorly lapidated ApoA1. Recently, genetic association study and functional study in mice have indicate an important role of ABCA1 during the pathogenesis of atherosclerosis (58).

In cardiovascular pathologies circulating miRNAs have been described as disease-specific biomarkers and various animal models and clinical studies have proven miRNAs suitable for diagnostic purposes in CAD and myocardial infarction (MI) (9,10). Exosomes ranging in size from 40–100 nm in diameter, secreted by cells are proposed to be mechanism through which secreted cells pass signals to targeted cells. Meanwhile, altered exosomal miRNAs in serum has been found existed in the patients with CAD (11,12).

In the present study, we detected 9 candidate miRNAs in the plasma exosome from 42 patients with coronary atherosclerosis. The function of disturbed miRNA was examined by dual-luciferase assay and immunoblotting.

Materials and methods

Clinical samples

This study includes 42 consecutive patients with coronary atherosclerosis and 42 age and sex paired healthy controls. All the participants were collected from Beijing Institute of Heart Lung and Blood Vessel Diseases between September 2014 and November 2015. Clinical diagnosis of coronary atherosclerosis was evaluated by percutaneous coronary angiography, reviewed by two experienced cardiologists. Healthy control subjects, without atherosclerosis, were selected in the same period. Written informed consent was obtained from all participants and this study was approved by the Ethics Committee of Beijing Institute of Heart Lung and Blood Vessel Diseases.

A total of 10 ml peripheral venous blood was collected from each participant. Portion of the blood samples were processed for total cholesterol, HDL-C and LDL-C detection. Portion of blood sample was processed for plasma separation and exosomes extracted subsequently. The processing of these blood samples was started within 30 min after collection.

Plasma exosome extraction

Exosomes were extracted from plasma using ExoQuick Exosome Precipitation Solution (System Biosciences, Mountain View, CA, USA). Plasma was obtained by centrifugation at ×3,000 g for 15 min to remove cells and cellular fragments, and subsequent filtration of the supernatant was accomplished through a 0.45-µm pore polyvinylidene fluoride filter (Millipore, Billerica, MA, USA). Add 100 µl Thromboplastin D reagent rapidly into 100 µl plasma sample to mix thoroughly and then Incubate at 37°C for 15 min. Spin at 10,000 rpm at RT for 5 min. ExoQuick was added to the supernatants, and exosomes were precipitated by refrigeration at 4°C for 12 h. Exosome pellets collected by centrifugation at ×1,500 g for 30 min were dissolved in 20 µl PBS.

Cell culture

HepG2 and HEK293T cells were purchased from China Infrastructure of Cell Line Resources and cultured in Dulbecco's Modified Eagle Medium containing 10% fetal bovine serum (Hyclone, Logan, UT, USA), 100 IU/ml penicillin and 10 mg/ml streptomycin. THP1 cells were cultured in RPMI 1640 supplemented with 10% (v/v) fetal bovine serum (Hyclone). All cells were maintained at 37°C under an atmosphere of 5% CO2.

For macrophages differentiation, THP1 cells (1×106 cells/ml) were transferred into 100 mm-dishes by the addition of 100 ng/ml phorbol 12-myristate 13-acetate for a 72-h period.

RNA isolation and qRT-PCR

Total RNA was extracted from exosomes or from cell samples by using Trizol Reagent (Invitrogen, Carlsbad, CA, USA) according to the manufacturer's instructions. The expression level of miRNAs was detected by TaqMan miRNA RT-Real Time PCR. Single-stranded cDNA was synthesized by using TaqMan MicroRNA Reverse Transcription Kit (Applied Biosystems, Foster City, CA, USA) and then amplified by using TaqMan Universal PCR Master Mix (Applied Biosystems) together with miRNA-specific TaqMan MGB probes (Applied Biosystems). U6 level was quantified for normalization. Each sample in each group was measured in triplicate and the experiment was repeated at least three times for the detection of miRNAs.

Dual luciferase assay

A segment of 956 bp ABCA1 3′UTR segment containing the potential target sites of miR-92a and miR-30a was cloned into downstream of firefly luciferase coding region in pmirGLO plasmid (Promega, Madison, WI, USA) to generate luciferase reporter vector. For luciferase reporter assays, HEK293T cells were seeded in 48-well plates. 20 nM miRNAs mimic or inhibitor and luciferase reporter vector (200 ng/well) were co-transfected by using lipofectamine 2000 (Invitrogen). Two days later, cells were harvested and assayed with the Dual-Luciferase Assay kit (Promega). Each treatment was performed in triplicate in three independent experiments. The results were expressed as relative luciferase activity (Firefly LUC/Renilla LUC).

Western blot analysis

Protein extracts were boiled in SDS/β-mercaptoethanol sample buffer, and 30 µg samples were loaded into each lane of 10% polyacrylamide gels. The proteins were separated by electrophoresis, and the proteins in the gels were blotted onto PVDF membranes (Amersham Pharmacia Biotech, St. Albans, Herts, UK) by electrophoretic transfer. The membrane was incubated with mouse anti-ABCA1 monoclonal antibody (Abcam, Cambridge, MA, USA) or mouse anti-β-actin monoclonal antibody (Santa Cruz Biotechnology Inc.) over night at 4°C. The specific protein-antibody complex was detected by using horseradish peroxidase conjugated goat anti-rabbit or rabbit anti-mouse IgG. Detection by the chemiluminescence reaction was carried using the ECL kit (Pierce, Appleton, WI, USA). The β-actin signal was used as a loading control.

Enzyme linked immunosorbent assay (ELISA) for estimating ABCA1 protein

Serum ABCA1 level was estimated by using sandwich ELISA method and rabbit and mouse anti-ABCA1 antibodies (Abcam). Briefly, the 96-well plates were coated by mouse anti-ABCA1 (1:1,000 diluted) antibody and then incubated with 1:100 diluted serum samples for 2 h at room temperature. After washed by PBST, the plates were incubated using rabbit anti-ABCA1 antibody (1:1,000 diluted) followed by HRP labeled goat anti-rabbit secondary antibody (Santa Cruz Biotechnology Inc., Santa Cruz, CA, USA). TMB solution (Abcam) was added into each well, and incubated for 15–30 min. After adding equal volume of stopping solution the optical density was read at 450 nm. The relative concentrations were compared using OD value directly.

Blood biochemical indexes

Blood samples, from the same participants, were drawn for measurement of serum levels of TC, HDL-C, LDL-C after a 12-h overnight fast. Serum levels of TC (mmol/l), HDL-C (mmol/l), and LDL-C (mmol/l) were determined by colorimetric enzymatic assays with use of an Auto-Analyzer.

Cell proliferation assay

THP1 cells were seeded in 96-well plates at low density (5×103) and then transfected with miR-30e or miR-92a mimic or inhibitor. Twenty microliters MTT (5 mg/ml) (Sigma, St. Louis, MO, USA) were added into each well 48 h after transfection, and the cells were incubated for further 4 h. The absorbance was recorded at A570 nm with a 96-well plate reader after the DMSO addition.

Apoptosis analysis

Cell apoptosis was performed using Annexin V-FITC and propidium iodide (PI) staining and analyzed by flow cytometry.

Cholesterol efflux assessment

The cholesterol efflux of differentiated THP1 macrophages was examined using cholesterol efflux assay kit (Abcam) following the manufacture's instruction. Briefly, differentiated THP1 cells were transfected with miR-30e or miR-92a mimic or inhibitor for 6 h and then incubated with Labeling Reagent for 16 h. Wash cells by RPMI1640 medium, the cells were cultured at 37°C. Transfer the supernatant to 96-well plates at different time points to measure the fluorescence (Ex/Em=482/515 nm).

Statistical analysis

All the results were analyzed by using SPSS Statistical Package version 16. The data of two groups were analyzed by student's t-test and the correlation analysis was processed by χ2-analysis. P<0.05 was considered to indicate a statistically significant difference.

Results

Atherosclerosis is a chronic inflammatory disease of the vascular wall which leads to cardiovascular pathologies such as myocardial infarction, ischemic stroke and peripheral arterial disease. To find a new marker for atherosclerosis diagnosis and unveil the pathogenesis of atherosclerosis related CAD, we detected the expression of 9 candidate miRNAs expression in the exosome from serum sample of 42 patients with coronary atherosclerosis and age, sex paired healthy controls (Table I). These candidate miRNAs were reported to be related to the pathogenesis of CAD (1315). As shown in Fig. 1, the level of miR-30e and miR-92a was significantly upregulated in the plasma exosome of patients with atherosclerosis.

Table I.

Characteristics of cases and controls.

Table I.

Characteristics of cases and controls.

CharacteristicsCases (n=42)ControlsP-value
Age63 (42)63 (42)1
Sex (male/female)22/2022/201
Diabetes7 (42)5 (42)0.041
Hypertension (yes/no)29 (42)21(42)0.0035
Total cholesterol (mmol/l)4.64 (4.24–5.48)4.01 (3.28–5.23)<0.001
HDL-C (mmol/l)1.19 (1.05–1.43)1.25 (1.03–1.64)<0.001
LDL-C (mmol/l)3.09 (2.70–3.45)2.42 (2.04–3.01)<0.001

To further understand the biological function of miR-30e and miR-92a, the potential direct targets of miR-30e and miR-92a were predicted using online bioinformatics tool: miRanda (http://www.microrna.org). We found that ABCA1 is a potential target of miR-30e and miR-92a. To understand whether the expression of endogenous ABCA1 is repressed by miR-30e and miR-92a, HepG2 cells were transfected with mimic or inhibitor of miR-30e or miR-92a. 48 h after transfection, the cells were lysed and the expression of ABCA1 was examined by immunoblotting. As shown in Fig. 2A, the protein level was reduced in miR-30e or miR-92a mimic transfected cells and up-regulated in the cells transfected with miR-30e or miR-92a inhibitor (Fig. 2B).

To confirm the direct interaction between ABCA1 and miRNAs, we constructed a reporter vector through inserting ABCA1 3′UTR into pmirGLO vector, following the stop codon of firefly luciferase. Subsequently, dual luciferase assay was processed. As shown in Fig. 2C, the relative luciferase activity was decreased significantly in miR-30e or miR-92a mimic transfected cells. Meanwhile, the luciferase activity was up-regulated by inhibitors of miR-30e and miR-92a (Fig. 2C). When 4 nucleotides in the predicted target regions altered, the luciferase activity was not changed significantly by the mimic of miR-30e or miR-92a (Fig. 2D). These results indicated that miR-30e and miR-92a can repress the expression of luciferase by targeting 3′UTR of ABCA1. These results indicated that ABCA1 is a direct target of miR-30e and miR-92a.

ABCA1, also known as the cholesterol efflux regulatory protein (CERP) is a major regulator of cellular cholesterol and phospholipid homeostasis. Meanwhile, disturbed miRNA level also has the potential of altered cell proliferation and apoptosis. To further explore the function of miR-30e and miR-92a during the pathogenesis of CAD, we first examined the cell viability and apoptosis by MTT assay and flow cytometry. As shown in Fig. 3A, the relative cell viability was significantly repressed by miR-30e and up-regulated by miR-30e inhibitor. Meanwhile, the apoptotic cell number was increased in the cells transfected with miR-30e mimic (Fig. 3B). Subsequent cholesterol efflux assay results indicated that miR-30e and miR-92a mimic can repress the cholesterol efflux significantly (Fig. 3C). miR-30e inhibitor treatment relates to increased cholesterol efflux (Fig. 3D). miR-92a inhibitor up-regulated the cholesterol efflux slightly, but the difference was not significant (Fig. 3D).

To understand the correlation between the expression of miR-30e, miR-92a in the plasma and clinical characters of patients, we detected the plasma level of ABCA1 and cholesterol in the patients and relative controls. As shown in Fig. 4A, a higher plasma ABCA1 exists in the patients with atherosclerosis compared with healthy control. Meanwhile, a significant negative correlation was found between plasma ABCA1 level and plasma exosomal miR-30e level (Fig. 4B). However, no significant correlation was found between plasma ABCA1 level and exosomal miR-92a level (Fig. 4C). Furthermore, plasma cholesterol level was up-regulated in patients with atherosclerosis and negatively correlate with plasma exosomes miR-30e level instead of miR-92a (Fig. 5A-C).

Discussion

Atherosclerosis is a chronic disease characterized by the accumulation of lipids and fibrous elements in the large arteries which is the principal cause of CAD. Disturbed exosomal miRNAs in serum have been found in patients with a lot of kinds of diseases including CAD. In this study, we detected 9 candidate miRNAs in the plasma exosome from 42 patients with coronary atherosclerosis and found a higher expression of miR-30e and miR-92a in patients. Analyzed by bioinformatics tools and confirmed by immunoblotting, we found that ABCA1 is a direct target of miR-30e and miR-92a. Furthermore, a negative correlation was found between plasma miR-30e and ABCA1, or miR-30e and cholesterol. So miR-30e may have the potential to be a new biomarker for coronary atherosclerosis.

Exosomes are shed by cells under both normal and pathological conditions, and they carry nucleic acids and proteins from their host cells that are indicative of pathophysiological conditions. Meanwhile, under the protection of lipid bilayer, the bio-functional molecules are more stable than that exposed in the biofluids (16). So, they are widely considered to be crucial for biomarker discovery for clinical diagnostics, and that is why we choose miRNAs in exosomes to screen biomarkers for atherosclerosis. We chose 9 candidate miRNAs that were reported to be related to the pathogenesis of CAD (1315,17). We find an increased exosomal miR-92a expression in patients with coronary atherosclerosis, which is in line with the report of Niculescu LS et al (14). Meanwhile, we report for the first time that overexpressed miR-30e relates to coronary atherosclerosis, which was first reported in a mouse atherosclerosis model (15). However, we could not verify abnormal level of the other 7 miRNAs, the altered level of which was reported in the peripheral blood of patients with CAD. These results suggesting that exosomes may provide more specific biomarkers for atherosclerosis clinical diagnosis.

Exosomes are full of common constituents which are fusion of multivesicular bodies attachment to target cells. In this study, we reported that miR-30e and miR-92a were up-regulated in the serum exosomes of patients with coronary atherosclerosis and ABCA1 is a direct target of miR-30e and miR-92a. These two exosomal miRNAs may have the potential to be a biomarker for atherosclerosis diagnosis. Meanwhile, miRNAs can be delivered from the donor cells to the recipient cells by exosomes (18). So whether overexpressed miR-92a and miR-30e can be functionally delivered to target cells or not need to be further examined. Meanwhile, our study partially explained the function of disturbed miR-30e and miR-92a in the cell proliferation, apoptosis and cholesterol efflux, however, the role of miR-30e and miR-92a in the pathogenesis of atherosclerosis needs to be further unveiled.

The ABCA1 is a member of the ABC1 subfamily that moves phospholipids and cholesterol across the cell membrane to HDL-C and has an important role in the pathogenesis of atherosclerotic vascular diseases due to their involvement in cholesterol homeostasis, blood pressure regulation, endothelial function, vascular inflammation, as well as platelet production and aggregation (19). It is confirmed the more than XX miRNAs modulate ABCA1 expression directly including miR-33a, miR-122, miR-467b, miR-183, miR-28 and so on (20,21). In the present study, we confirm ABCA1 is a direct target of miR-92a and miR-30e for the first time, which is an import supplement of our knowledge of ABCA1 modulation system.

In conclusion, the level of plasma exosomal miR-30e and miR-92a was up-regulated in patients with atherosclerosis and negative correlate with the plasma cholesterol and ABCA1 level, which may provide a new biomarker for clinical diagnosis and treatment of coronary atherosclerosis.

References

1 

Libby P: Inflammation in atherosclerosis. Nature. 420:868–874. 2002. View Article : Google Scholar : PubMed/NCBI

2 

Miller GJ and Miller NE: Plasma-high-density-lipoprotein concentration and development of ischaemic heart-disease. Lancet. 1:16–19. 1975. View Article : Google Scholar : PubMed/NCBI

3 

Hausenloy DJ and Yellon DM: Targeting residual cardiovascular risk: Raising high-density lipoprotein cholesterol levels. Heart. 94:706–714. 2008. View Article : Google Scholar : PubMed/NCBI

4 

Duong PT, Collins HL, Nickel M, Lund-Katz S, Rothblat GH and Phillips MC: Characterization of nascent HDL particles and microparticles formed by ABCA1-mediated efflux of cellular lipids to apoA-I. J Lipid Res. 47:832–843. 2006. View Article : Google Scholar : PubMed/NCBI

5 

Abd El-Aziz TA, Mohamed RH and Hagrass HA: Increased risk of premature coronary artery disease in egyptians with ABCA1 (R219K), CETP (TaqIB), and LCAT (4886C/T) genes polymorphism. J Clin Lipidol. 8:381–389. 2014. View Article : Google Scholar : PubMed/NCBI

6 

Koopal C, Visseren FL, Kastelein JJ and Westerink J: Premature atherosclerosis, extremely low HDL-cholesterol and concurrent defects in APOA1 and ABCA1 genes: A family case report. Int J Cardiol. 177:e19–e21. 2014. View Article : Google Scholar : PubMed/NCBI

7 

Lv YC, Tang YY, Peng J, Zhao GJ, Yang J, Yao F, Ouyang XP, He PP, Xie W, Tan YL, et al: MicroRNA-19b promotes macrophage cholesterol accumulation and aortic atherosclerosis by targeting ATP-binding cassette transporter A1. Atherosclerosis. 236:215–226. 2014. View Article : Google Scholar : PubMed/NCBI

8 

Xu Y, Liu Q, Xu Y, Liu C, Wang X, He X, Zhu N, Liu J, Wu Y, Li Y, et al: Rutaecarpine suppresses atherosclerosis in ApoE-/- mice through upregulating ABCA1 and SR-BI within RCT. J Lipid Res. 55:1634–1647. 2014. View Article : Google Scholar : PubMed/NCBI

9 

Maegdefessel L: The emerging role of microRNAs in cardiovascular disease. J Intern Med. 276:633–644. 2014. View Article : Google Scholar : PubMed/NCBI

10 

Fichtlscherer S, De Rosa S, Fox H, Schwietz T, Fischer A, Liebetrau C, Weber M, Hamm CW, Röxe T, Müller-Ardogan M, et al: Circulating microRNAs in patients with coronary artery disease. Circ Res. 107:677–684. 2010. View Article : Google Scholar : PubMed/NCBI

11 

Chistiakov DA, Orekhov AN and Bobryshev YV: Cardiac extracellular vesicles in normal and infarcted heart. Int J Mol Sci. 17(pii): E632016. View Article : Google Scholar : PubMed/NCBI

12 

Huber HJ and Holvoet P: Exosomes: Emerging roles in communication between blood cells and vascular tissues during atherosclerosis. Curr Opin Lipidol. 26:412–419. 2015. View Article : Google Scholar : PubMed/NCBI

13 

Sayed AS, Xia K, Li F, Deng X, Salma U, Li T, Deng H, Yang D, Haoyang Z, Yang T and Peng J: The diagnostic value of circulating microRNAs for middle-aged (40-60-year-old) coronary artery disease patients. Clinics (Sao Paulo). 70:257–263. 2015. View Article : Google Scholar : PubMed/NCBI

14 

Niculescu LS, Simionescu N, Sanda GM, Carnuta MG, Stancu CS, Popescu AC, Popescu MR, Vlad A, Dimulescu DR, Simionescu M and Sima AV: MiR-486 and miR-92a identified in circulating HDL discriminate between stable and vulnerable coronary artery disease patients. PLoS One. 10:e01409582015. View Article : Google Scholar : PubMed/NCBI

15 

Zhang T, Tian F, Wang J, Jing J, Zhou SS and Chen YD: Endothelial cell autophagy in atherosclerosis is regulated by miR-30-mediated translational control of ATG6. Cell Physiol Biochem. 37:1369–1378. 2015. View Article : Google Scholar : PubMed/NCBI

16 

Suzuki E, Fujita D, Takahashi M, Oba S and Nishimatsu H: Stem cell-derived exosomes as a therapeutic tool for cardiovascular disease. World J Stem Cells. 8:297–305. 2016. View Article : Google Scholar : PubMed/NCBI

17 

Raitoharju E, Oksala N and Lehtimäki T: MicroRNAs in the atherosclerotic plaque. Clin Chem. 59:1708–1721. 2013. View Article : Google Scholar : PubMed/NCBI

18 

Narahari A, Hussain M and Sreeram V: MicroRNAs as biomarkers for psychiatric conditions: A review of current research. Innov Clin Neurosci. 14:53–55. 2017.PubMed/NCBI

19 

Schumacher T and Benndorf RA: ABC transport proteins in cardiovascular disease-A brief summary. Molecules. 22(pii): E5892017. View Article : Google Scholar : PubMed/NCBI

20 

Rotllan N, Price N, Pati P, Goedeke L and Fernández-Hernando C: microRNAs in lipoprotein metabolism and cardiometabolic disorders. Atherosclerosis. 246:352–360. 2016. View Article : Google Scholar : PubMed/NCBI

21 

Yang Z, Cappello T and Wang L: Emerging role of microRNAs in lipid metabolism. Acta Pharm Sin B. 5:145–150. 2015. View Article : Google Scholar : PubMed/NCBI

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April-2019
Volume 19 Issue 4

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Spandidos Publications style
Wang Z, Zhang J, Zhang S, Yan S, Wang Z, Wang C and Zhang X: MiR‑30e and miR‑92a are related to atherosclerosis by targeting ABCA1. Mol Med Rep 19: 3298-3304, 2019.
APA
Wang, Z., Zhang, J., Zhang, S., Yan, S., Wang, Z., Wang, C., & Zhang, X. (2019). MiR‑30e and miR‑92a are related to atherosclerosis by targeting ABCA1. Molecular Medicine Reports, 19, 3298-3304. https://doi.org/10.3892/mmr.2019.9983
MLA
Wang, Z., Zhang, J., Zhang, S., Yan, S., Wang, Z., Wang, C., Zhang, X."MiR‑30e and miR‑92a are related to atherosclerosis by targeting ABCA1". Molecular Medicine Reports 19.4 (2019): 3298-3304.
Chicago
Wang, Z., Zhang, J., Zhang, S., Yan, S., Wang, Z., Wang, C., Zhang, X."MiR‑30e and miR‑92a are related to atherosclerosis by targeting ABCA1". Molecular Medicine Reports 19, no. 4 (2019): 3298-3304. https://doi.org/10.3892/mmr.2019.9983