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SOAT1 methylation is associated with coronary heart disease
Lipids in Health and Disease volume 18, Article number: 192 (2019)
This study was designed to investigate whether differential DNA methylationin of cholesterol absorption candidate genes can function as a biomarker for patients with coronary heart disease (CHD).
DNA methylation levels of the candidate genes FLOT1, FLOT2 and SOAT1 were measured in peripheral blood leukocytes (PBLs) from 99 patients diagnosed with CHD and 89 control subjects without CHD. A total of 110 CPG sites around promoter regions of them were examined.
Compared with groups without CHD, patients with CHD had lower methylation levels of SOAT1 (P<0.001). When each candidate genes were divided into different target segments, patients with CHD also had lower methylation levels of SOAT1 than patients without (P = 0.005). After adjustment of other confounders, methylation levels of SOAT1 were still associated with CHD (P = 0.001, OR = 0.290, 95% CI: 0.150–0.561).
SOAT1 methylation may be associated with development of CHD. Patients with lower methylation levels in SOAT1 may have increased risks for CHD. Further studies on the specific mechanisms of this relationship are necessary.
Cholesterol is an important structural component of cell membranes, and a precursor to the synthesis of many bioactive molecules, including bile acids and salts, vitamin D, and steroid hormone . In human body, the main source of cholesterol is from Intestinal absorption, and less than half of cholesterol is from in vivo synthesis. Within the cells, the cholesterol homeostasis is tightly regulated to ensure normal cellular processes [2, 3]. Previous studies have proved that mammals cannot survive without cholesterol, and the high concentration of blood cholesterol level leads to a series of diseases such as atherosclerosis, fatty liver, and coronary heart disease (CHD), which is a leading cause of death in developed countries [4,5,6]. Epidemiological studies have demonstrated that there are some risk factors, including genetic, environmental, behavioral, and clinical factors, contributing to development of CHD, but how these risk factors impact on the cellular level to cause coronary heart disease is not fully understood .
DNA methylation is a biological process by which a methyl group is added to a DNA nucleotide, without changing the underlying DNA sequence . Methylated DNA causes the less effective combination of DNA binding proteins to the DNA’s main spiral groove. Therefore, it can regulate gene expression without changing DNA base sequence. The state of DNA methylation of CpG loci near gene promoters was found to be associated with transcriptional activity and gene expression [9, 10]. Recent studies on cardiovascular epigenetics showed that methylation of repetitive sequences, such as long-interspersed nucleotide repetitive elements-1 (LINE-1) and ALU have been associated with cardiovascular disease (CVD) . Specifically, elevated methylation of ALU in leukocytes was associated with prevalence of CVD and obesity in Chinese individuals . Patients with heart failure were found to have altered promoter methylation in genes relevant to myocyte apoptosis, fibrosis, and altered contractility .Comprehensive studies suggested that changes in DNA methylation states contribute to serious of disease such as dyslipidemia, atherosclerosis, hypertension, and inflammation . The relationship between DNA methylation and coronary heart disease needs further investigation.
Growing evidence indicated that genetic factors may affect the cholesterol absorption in patients with cardiovascular diseases (CVD) . Previous studies have suggested that many of genes such as FLOT1, FLOT2 and SOAT1, were closely associated with the cholesterol absorption [15,16,17]. We hypothesized that DNA methylation in some of these genes may reduce the absorption of cholesterol, and influence on the development of CHD. The aim of this study was to investigate whether DNA methylation has differences in patients with coronary heart disease from control group.
This study was approved by the Ethical Review Board of The First Affiliated Hospital of Xinjiang Medical University. Written informed consent was obtained from all enrolled patients. Patients with coronary heart disease were screened from The First Affiliated Hospital of Xinjiang Medical University between July 2012 and March 2016. Patients were included in the CHD group if they: (1) had previous coronary stent surgery histories; (2) aged 25 years or older; (3) Coronary angiography indicated at least one coronary artery was narrowed ≥75% or occluded. Patients were included in the control group if they: (1) had no previous coronary heart disease; (2) were not using Lipid-lowering drugs. Patients with malignant neoplasm, severe heart or liver, kidney dysfunction, autoimmune diseases were excluded. A total of 188 patients were finally enrolled in the present study.
DNA isolation and genotyping
Venous blood samples were drawn in the morning after an overnight fasting for biochemical marker assaying and methylation analyzing. Genomic DNA was extracted from whole blood with commercially available kits (TIANGEN Biotech, Shanghai, China). DNA was quantified and then diluted to a working concentration of 20 ng/UL for genotyping.
CpG islands located in the proximal promoter of FLOT1, FLOT2 and SOAT1, were selected for measurement according to the following criteria: (1) 200 bp minimum length; (2) 50% or higher GC content; (3) 0.60 or higher ratio of observed/expected dinucleotides CpG. BiSulfite Amplicon Sequencing (BSAS) was used for quantitative methylation analysis . Bisulfite conversion of 1 μg genomic DNA was performed with the EZ DNA Methylation™-GOLD Kit (ZYMO RESEARCH, CA, USA) according to the manufacturer’s protocol. Sodium bisulfite preferentially deaminates unmethylated cytosine residues to thymines, whereas methyl-cytosines remain unmodified. After PCR amplification (HotStar Taq polymerase kit, TAKARA, Tokyo, Japan) of target CpG regions and library construction, the products were sequenced on Illumina MiSeq Benchtop Sequencer (CA, USA). Primer sequences used for PCR were shown in Additional file 1: Table S1. All samples achieved a mean coverage of >600X. Each tested CpG site was named as its relative distance (in bp) to transcriptional start site (TSS). Methylation level at each CpG site was calculated as the percentage of the methylated cytosines over the total tested cytosines. The average methylation level was calculated using methylation levels of all measured CpG sites within the gene.
The data were analyzed by IBM SPSS Statistics Version 17.0 (Armonk, NY: IBM Corp.). The measurement data are shown as the Means±SD, and the differences between CHD and control subjects were assessed using an independent-sample t-test. Differences in the enumeration data, such as the frequencies of smoking, drinking, hypertension and diabetes between CHD and control subjects were analyzed using the chi-square test. As the methylation levels of FLOT1, FLOT2 and SOAT1 did not meet the normality assumption, they were described as median (interquartile range) and compared with Mann–Whitney U test. These analyses were performed on both the average gene methylation data and the methylation data of the individual CpG loci. Additionally, logistic regression analyses with effect ratios (odds ratio [OR] and 95% CI) were used to assess the major risk factors of CHD. A two-tailed value of p < 0.05 was considered statistically significant.
Baseline characteristics and major risk factors for cardiovascular diseases were listed in Table 1. The average age of the 188 analyzed patients was 59.46 ± 10.61 years, and 127(67.6%) of them were male. There were 60(31.9%) patients with hypertension and 18(9.6%) with DM.
Based on the above inclusion criteria, 99 patients were grouped as with and 89 without CHD. Compared with patients without CHD, those with CHD had higher prevalence of HTN (40.4% vs. 22.5%, P = 0.008) and T2DM (14.1% vs. 4.5%, p = 0.025). Patients with CHD had higher TC (4.52 vs. 4.02 mmol/L, P = 0.001), LDL (2.74 vs. 2.59 mmol/L, P = 0.013), TG (1.65 vs. 1.43 mmol/L, P = 0.034) than those without CHD (Table 1).
According to the results measured from target regions, there were 110 CpG sites (67 in FLOT1, 17 in FLOT2 and 26 in SOAT1) identified as methylated sites (detailed information of each site was shown in Additional file 1: Table S2).The distribution of methylation levels of the 142 CpGs were listed in Additional file 1: Table S3.
The methylation levels of each CpG sites compared between patients with and without CHD (Table 2). The methylated levels of 2 sites in FLOT1 and FLOT2, were higher in CHD group than that in control group respectively. The methylated levels of 7 sites in SOAT1 methylated levels were higher in control group than that in CHD group.
Differences in DNA methylation levels of each candidate genes between the two subgroups indicated that patients without CHD had higher methylation levels of SOAT1 than patients with CHD (P<0.001) (Table 3). When each candidate genes were divided into different target segments, patients without CHD also had higher methylation levels of SOAT1 than patients with (P = 0.005) (Table 4).
Further, we assessed the association between SOAT1 methylation levels and CHD. After adjustment of male, age, smoking, drinking, hypertension, diabetes, TG, TC, HDL-C and LDL-C, SOAT1 methylation levels were still associated with CHD (P = 0.001, OR = 0.290, 95% CI: 0.150–0.561) (Table 5).
In this study we analyzed DNA methylation levels of a subset of candidate genes in patients diagnosed with CHD and control subjects without CHD. All of the genes analyzed in this study were previously reported to have a potential importance in the absorption of the cholesterol [15,16,17, 19,20,21]. Our study observed that methylation levels of SOAT1 were relatively lower in patients with CHD than control group. These results verified our hypothesis that DNA methylation in SOAT1 plays vital role in the development of CHD.
Sterol O-acyltransferase (SOAT) is a key enzyme converting endoplasmic reticulum cholesterol to cholesterol esters, which are stored in the form of lipid droplet . There are two SOAT isoforms in mammals, including SOAT1 and SOAT2, with different tissue expression patterns. SOAT1 is ubiquitously expressed in tissues and cells, while SOAT2 is predominantly expressed in the liver and intestines . Reports indicated that SOAT1 is constitutively expressed and likely functions to maintain the intracellular balance of free and esterified cholesterol, whereas SOAT2 is associated with intestinal cholesterol absorption and hepatocyte-specific functions such as lipoprotein particle assembly and the production of bile, and SOAT1 is responsible for the formation of foam cell in macrophages [24, 25]. Previous studies also reported that SOAT1 was involved in the formation of atherosclerotic plaques, and was involved in regulating inflammation.
Some researchers have observed that hypercholesterolemia can cause multiple physiologic outcomes, such as coronary artery disease, diabetes and obesity [26, 27]. SOAT1 is an important protein for regulating cholesterol absorption and it plays a pivotal role in the development of atherosclerosis. Recent studies have shown that the deletion of the SOAT1 gene in macrophages results in an increase in atherosclerotic lesion area in the aortas of hypercholesterolemia mice [28, 29]. In 1996, the production of genetically engineered mice lacking functional SOAT1 was first reported by Farese et al. . SOAT1 gene disruption resulted in decreased cholesterol esterification in fibroblasts and adrenals. Studies of global DNA methylation in CVD patients report both increased and decreased DNA methylation. In addition, DNA isolated from atherosclerotic tissue has been observed to be hypomethylated globally, however, DNA hypermethylation was observed in the promoter regions of genes associated with atherosclerosis [7, 31, 32]. Therefore, we assume that SOAT1 gene and coronary artery disease might be associated. However, few researches have been conducted regarding the relationship between SOAT1 gene and cardiovascular diseases. Human and mouse studies have observed DNA hypermethylation of cytosines in the context of CpGs as an accompanying feature of atherosclerosis . Methylation in CpG islands near to promoter regions may promote gene expression. It was indicated in our study that hypermethylation of SOAT1 may promote gene expression and results in atherosclerosis.
Our study showed that these candidate genes have different levels of methylation. The methylation levels of each CpG site of them differ one from another. SOAT1 gene has more CpG methylation sites than others have. This may suggest that the more the number of methylation sites, the greater the contribution to gene expression regulation. When comparing methylation sites at the genetic level, SOAT1 gene had a significantly higher methylation levels than other genes had, and it was proven again that high methylation levels of SOAT1 significantly differentiate from others, when analyzing each of genes divided into different functional segments. Therefore, our study implied that DNA methylation of SOAT1 may play a potential role in cholesterol absorption and development of CHD. Further study is still indeed to enrich our outcomes.
There are several limitations in the present study. First, the source of CHD patients was limited to the First Affiliated Hospital of Xinjiang Medical University, and these subjects may possess some risk factors of cardiovascular disease, which may generate selection bias. Second, the relatively small sample size of this study may have contributed to weak statistical significance. Third, there is a lack of individual genetic background information for the subjects enrolled. Finally, the present study lacked functional validation. However, assessments of the functional outcomes and correlations with hormonal levels are currently ongoing. Nevertheless, a prospective cohort study with a reasonably long study duration is required to obtain evidence with higher quality and reliability.
In summary, SOAT1 methylation may be associated with development of CHD. Patients with lower methylation levels in SOAT1 may have increased risks for CHD. Our findings may provide some new implications for prevention and treatment of atherosclerotic diseases. Further studies on the specific mechanisms of this relationship are necessary.
Availability of data and materials
The data will not be shared, since part of the data is being reused by another study.
Coronary heart disease
Peripheral blood leukocytes
Transcriptional start site
Sèdes L, Thirouard L, Maqdasy S, et al. Cholesterol: A Gatekeeper of Male Fertility? Front Endocrinol (Lausanne). 2018;9:369.
Abudoukelimu M, Fu Z-Y, Maimaiti A, et al. The association of cholesterol absorption gene Numb polymorphism with Coronary Artery Disease among Han Chinese and Uighur Chinese in Xinjiang, China. Lipids Health Dis. 2015;14:120.
Dekkers Koen F, van Iterson M, Slieker Roderick C, et al. Blood lipids influence DNA methylation in circulating cells. Genome Biol. 2016;17:138.
Poh K-K, Ambegaonkar B, Baxter Carl A, et al. Low-density lipoprotein cholesterol target attainment in patients with stable or acute coronary heart disease in the Asia-Pacific region: results from the Dyslipidemia International Study II. Eur J Prev Cardiol. 2018;25:1950–63.
Zhang Y-Y, Fu Z-Y, Wei J, et al. A variant promotes low plasma LDL cholesterol and decreases intestinal cholesterol absorption. Science. 2018;360:1087–92.
Moon S, Chung HS, Yu JM et al. Association between serum selenium level and the prevalence of diabetes mellitus in U.S. population. J Trace Elem Med Biol. 2019;52:83–88.
Zhong J, Agha G, Baccarelli Andrea A. The role of DNA methylation in cardiovascular risk and disease: methodological aspects, study design, and data analysis for epidemiological studies. Circ Res. 2016;118:119–31.
Zagkos L, Auley MM, Roberts J, et al. Mathematical models of DNA methylation dynamics: implications for health and ageing. J Theor Biol. 2019;462:184–93.
Zhu H, Wu L-F, Mo X-B, et al. Rheumatoid arthritis-associated DNA methylation sites in peripheral blood mononuclear cells. Ann Rheum Dis. 2019;78:36–42.
van Otterdijk SD, Binder Alexandra M, Szarc Vel Szic K, et al. DNA methylation of candidate genes in peripheral blood from patients with type 2 diabetes or the metabolic syndrome. PLoS One. 2017;12:e0180955.
Khyzha N, Alizada A, Wilson Michael D, et al. Epigenetics of atherosclerosis: emerging mechanisms and methods. Trends Mol Med. 2017;23:332–47.
Dayeh T, Tuomi T, Almgren P, et al. DNA methylation of loci within ABCG1 and PHOSPHO1 in blood DNA is associated with future type 2 diabetes risk. Epigenetics. 2016;11:482–8.
Yu X-H, Zhang D-W, Zheng X-L, et al. Cholesterol transport system: an integrated cholesterol transport model involved in atherosclerosis. Prog Lipid Res. 2018;73:65–91.
Bogari Neda M, Aljohani A, Amin Amr A, et al. A genetic variant c.553G > T (rs2075291) in the apolipoprotein A5 gene is associated with altered triglycerides levels in coronary artery disease (CAD) patients with lipid lowering drug. BMC Cardiovasc Disord. 2019;19:2.
Gong H, Song L, Lin C, et al. Downregulation of miR-138 sustains NF-κB activation and promotes lipid raft formation in esophageal squamous cell carcinoma. Clin Cancer Res. 2013;19:1083–93.
Nie Z, Du M-Q, McAllister-Lucas LM, et al. Conversion of the LIMA1 tumour suppressor into an oncogenic LMO-like protein by API2-MALT1 in MALT lymphoma. Nat Commun. 2015;6:5908.
Jain P, Nattakom M, Holowka D, et al. Runx1 role in epithelial and Cancer cell proliferation implicates lipid metabolism and Scd1 and Soat1 activity. Stem Cells. 2018;36:1603–16.
Masser Dustin R, Berg Arthur S, Freeman WM. Focused high accuracy 5-methylcytosine quantitation with base resolution by benchtop next-generation sequencing. Epigenetics Chromatin. 2013;6:33.
Wilson D, Charidimou A, Shakeshaft C, et al. Volume and functional out-come of intracerebral hemorrhage according to oral anticoagulant type. Neurology. 2016;86:360–6.
Wagner Jonathan B, Abdel-Rahman S, Gaedigk R, et al. Impact of genetic variation on pravastatin systemic exposure in pediatric hypercholesterolemia. Clin Pharmacol Ther. 2019;105:1501–1512.
Li J, Qu X, Tian J, et al. Cholesterol esterification inhibition and gemcitabine synergistically suppress pancreatic ductal adenocarcinoma proliferation. PLoS ONE. 2018;13:e0193318.
Shibuya Y, Chang CC, Chang T-Y. ACAT1/SOAT1 as a therapeutic target for Alzheimer's disease. Future Med Chem. 2015;7:2451–67.
Kobayashi K, Ohshiro T, Tomoda H, et al. Discovery of SOAT2 inhibitors from synthetic small molecules. Bioorg Med Chem Lett. 2016;26:5899–901.
Wu N, Li R-Q, Li L. SOAT1 deficiency attenuates atherosclerosis by regulating inflammation and cholesterol transportation via HO-1 pathway. Biochem Biophys Res Commun. 2018;501:343–50.
Karakus E, Zahner D, Grosser G, et al. Estrone-3-Sulfate Stimulates the Proliferation of T47D Breast Cancer Cells Stably Transfected With the Sodium-Dependent Organic Anion Transporter SOAT (SLC10A6). Front Pharmacol. 2018;9:941.
Nomura A, Tada H, Okada H, et al. Impact of genetic testing on low-density lipoprotein cholesterol in patients with familial hypercholesterolemia (GenTLe-FH): a randomised waiting list controlled open-label study protocol. BMJ Open. 2018;8:e023636.
Chan ML-Y, Cheung C-L, Lee AC-H, et al. Genetic variations in familial hypercholesterolemia and cascade screening in East Asians. Mol Genet Genomic Med. 2019;7(2):e00520.
Shibuya K, Kawamine K, Miura T, et al. Design, synthesis and pharmacology of aortic-selective acyl-CoA: cholesterol O-acyltransferase (ACAT/SOAT) inhibitors. Bioorg Med Chem. 2018;26:4001–13.
Kapojos Magie M, Abdjul Delfly B, Yamazaki H, et al. Callyspongiamides A and B, sterol O-acyltransferase inhibitors, from the Indonesian marine sponge Callyspongia sp. Bioorg Med Chem Lett. 2018;28:1911–4.
Rudel Lawrence L, Lee Richard G, Parini P. ACAT2 is a target for treatment of coronary heart disease associated with hypercholesterolemia. Arterioscler Thromb Vasc Biol. 2005;25:1112–8.
Geng F, Cheng X, Wu X, et al. Inhibition of SOAT1 suppresses Glioblastoma growth via blocking SREBP-1-mediated Lipogenesis. Clin Cancer Res. 2016;22:5337–48.
Shibuya Y, Chang Catherine CY, Huang L-H, et al. Inhibiting ACAT1/SOAT1 in microglia stimulates autophagy-mediated lysosomal proteolysis and increases Aβ1–42 clearance. Neurosci. 2014;34:14484–501.
Ferraz-de-Souza B, Hudson-Davies Rebecca E, Lin L, et al. Sterol O-acyltransferase 1 (SOAT1, ACAT) is a novel target of steroidogenic factor-1 (SF-1, NR5A1, Ad4BP) in the human adrenal. Clin Endocrinol Metab. 2011;96:E663–8.
We thank all patients for participating in this study. We are also grateful to Center for Genetics & Genomic Analysis, Genesky Biotechnologies Inc. (Shanghai, 201203) for their technical support in sequencing.
This work was supported financially by The science and technology support project Xinjiang Uygur Autonomous Region (2017E0269).
Ethics approval and consent to participate
The study was approved by the Ethical Review Board of The First Affiliated Hospital of Xinjiang Medical University. Written informed consent was obtained from all enrolled patients.
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The authors declare that they have no competing interests.
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Additional file 1:
Table S1: Primer sequences used for PCR. Table S2: Methylated CpG sites identified in this study. Table S3: Distribution of methylation levels (%) of 142 CpGs sites in candidate genes.
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Abuzhalihan, J., Wang, YT., Ma, YT. et al. SOAT1 methylation is associated with coronary heart disease. Lipids Health Dis 18, 192 (2019). https://doi.org/10.1186/s12944-019-1138-9
- DNA methylation
- Coronary heart disease
- Cholesterol absorption