Characterized by ventricular dilatation and diminished contraction, dilated cardiomyopathy (DCM) is the leading cause of chronic heart failure with high mortality worldwide [1]. The prevalence of DCM ranges from 1/2500 to 1/250 people and the cause of DCM is multifactorial, among which hereditary factors play an important role [2, 3]. More than 100 DCM-related genes have been reported, but only a handful of these have been definitively linked to human disease, including genes encoding cytoskeletal, sarcomere and nuclear envelope proteins [4, 5]. Approximately 40% of DCM cases could be explained by rare variants in cardiomyopathy-related genes, which represents the current research priority [6]. Recently, the role of common variants in DCM has been widely investigated, which could explain a portion of DCM cases without the known DCM gene variants [3, 7, 8].
In this study, a total of 529 idiopathic DCM patients and 600 healthy controls were recruited between March 2014 and June 2017 from the Cardiology Division of Panzhihua central hospital in Sichuan. The diagnostic criteria of DCM refers to the modified version of standardized diagnostic criteria for DCM [19]. Patients with a family history of DCM, cardiac valve disease, coronary heart disease, hypertension, tachyarrhythmia, congenital heart disease, pericardial disease, acute viral myocarditis, heavy alcohol intake, skeletal myopathies, systemic diseases of a putative autoimmune origin, diabetes, and nutrition disorders were excluded from our study. Participants of healthy controls are free of cardiac disease, cardiac dysfunction, and a family history of DCM. Echocardiography was conducted for all participants to assess their heart function. 32 human heart samples used in this study were obtained between April 2015 and July 2017 from patients who received heart transplants at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology. Our study was in accordance with the principles of the Helsinki Declaration and approved by the Review Board of Tongji College of Medicine and Panzhihua central hospital. All patients have signed the informed consent. Detailed about clinical characteristics of patients are listed in Supplemental Table 1
Genomic DNA extraction from peripheral leucocytes were finished using a DNA isolation kit in accordance with the protocol (TIANGEN, Beijing, China) and quantified by a NanoDrop 2000 Spectrophotometer (NanoDrop Technologies, Wilmington, DE). The final concentration of the samples ranged from 10 to 30 ng/mL. Probe and primer for rs35006907 genotyping were purchased from ThermoFisher (Assay ID: C____449430_10). The variant rs35006907 was genotyped using a TaqMan assay on the TaqMan 7900HT Sequence Detection System (Applied Biosystems, Foster City, CA) with the following condition: 10 min at 95 °C (enzyme activation) followed by 45 cycles at 95 °C for 15 s and 60 °C for 1 min (annealing/extension).
To investigate the effect of rs35006907 on transcription activity of
A total of 20ug of protein extracts for each sample were denatured in sample buffer (SDS polyacrylamide) containing β-mercaptoethanol and electrophoretically resolved by 10% SDS-polyacrylamide gels, followed by transferring to polyvinylidene difluoride membranes. Non-specific binding sites were blocked with 5% non-fat milk for 2 h at room temperature. Subsequently, the membranes were incubated with primary antibodies (anti-
To determine the effect of rs35006907 on
SPSS version 13.0 (SPSS, Inc, Chicago, Illinois) for Windows (Microsoft Corp, Redmond, WA) and Prism (GraphPad) were used for the statistical analyses in our study. Normality was assessed using Shapiro–Wilk’s test with SPSS version 13.0. Polymorphism was tested for Hardy-Weinberg equilibrium (HWE) among the DCM patients and controls using χ2 test with SPSS version 13.0. We conducted binary logistic regression to test the association of rs35006907 with DCM in different genetic models (additive, dominant and recessive models) using SPSS version 13.0. The odds ratio (OR) and its 95% confidence intervals (95% CIs) were calculated to evaluate the effect of any differences between alleles or genotypes with SPSS version 13.0. The Mann–Whitney U test was used for comparison between two continuous data with Prism (GraphPad), while categorical data were compared using Pearson’s chi-square test. Data are expressed as mean ± SEM of n experiments. P<0.05 was considered to be significant.
As shown in Table 1, a total of 529 DCM and 600 healthy controls were matched by age with mean age of 56.6±10.5 and 55.8±9.6, respectively. There were no statistical differences between DCM and the control group in age (p=0.15), gender (p=0.5), SBP (p= 0.054), DBP (p= 0.09) or IVSD (p=0.3) between DCM and control groups. Compared with controls, the LVEDD and LVPWD were significantly higher in DCM group, while the LVEF was clearly lower.
Baseline characteristics of population
Age | 56.6±10.5 | 55.8±9.6 | 0.15 |
Gender (males/females) | 175/354 | 210/390 | 0.5 |
SBP (mmHg) | 123±28 | 126±26 | 0.054 |
DBP (mmHg) | 82±11 | 81±13 | 0.09 |
IVSD (mm), mean±SD | 9.7±1.7 | 9.8±2.6 | 0.3 |
LVEDD (mm), mean±SD | 65.3±8.4 | 46.04.2 | <0.001 |
LVPWD (mm), mean±SD | 9.6±1.4 | 9.2±1.6 | <0.001 |
LVEF (%) | 35.1±12.5 | 61.5±7.7 | <0.001 |
SBP, Systolic blood pressure; DBP, Diastolic blood pressure; IVSD, end-diastolic interventricular septal diameter; LVEDD, left ventricular end-diastolic diameter; LVPWD, end-diastolic left ventricular posterior wall diameter; LVEF, left ventricular ejection fraction; SD, standard deviation.
The genotype distribution was in HWE in both groups (χ2 =2.7, p = 0.1 in DCM group; χ2 =1.8, p = 0.18 in controls). As shown in Table 2, the frequency of A allele among DCM group was remarkably lower compared with controls (38% vs 44%). The results showed that rs35006907-A allele is significantly associated with reduced risk of DCM in additive (p= 0.004; OR=0.78; 95% CI=0.66–0.93) and recessive model (p=0.0005; OR=0.56; 95%CI=0.41–0.78) when compared with rs35006907-C allele.
Association of rs35006907 with DCM.
CC | CA | AA | Additive | 0.004 | 0.78 (0.66–0.93) | ||||
rs35006907 | Enhancer | Control | 0.44 | 194 | 280 | 126 | Dominant | 0.16 | 0.84 (0.66–1.07) |
C>A | DCM | 0.38 | 192 | 268 | 69 | Recessive | 0.0005 | 0.56 (0.41–0.78) |
Odds Ratios (ORs) and 95% confidence intervals (CIs) were obtained by logistic regression.
We attempted to explore the relationship between rs35006907 and clinical characteristics in DCM patients. As shown in Figure 1, patients carrying AA genotype displayed reduced LVEDD and increased LVEF when compared with CC (p=0.0001 for LVEDD and p<0.0001 for LVEF) and AC (p=0.003 for LVEDD and p=0.03 for LVEF) genotype. While no differences were observed in IVSD and LVPWD between different genotypes of rs35006907.
Firstly, we attempted to compare the
Subsequently, we investigated the effect of rs35006907 on
Comparison of clinical characteristics including LVEDD (A), LVEF (B), IVSD (C) and LVPWD (D) among DCM with different genotypes.
Finally, we transfected AC16 and 293T cells with reporter plasmids and found that the reporter gene expression of rs35006907-C allele was significantly increased compared with the rs35006907-A allele (shown in Figure 2D).
In this study, we found that rs35006907 was associated with DCM in both additive and recessive models, with the C allele increasing the risk of DCM. While the association showed no statistical significance in the dominant model. Similarly, the C allele of rs35006907 was found to be related to enlarged left ventricle and reduced cardiac function. A series of functional studies demonstrated that the rs35006907-C allele displayed higher reporter gene activity and increased MTSS1 expression when compared with A allele.
DCM is a life-threatening form of heart disease characterized by enlarged ventricle and reduced LVEF. Approximately 30–40% of DCM patients could be attributable to hereditary factors and classified as familial DCM [21]. The majority of DCM-associated genes were identified encoding proteins involved in sarcomere, cytoskeleton, nucleus, the nuclear lamina, and Z-disc [21]. First identified as a metastasis suppressor,
One limitation of our study is that we only focus on rs35006907. Other genetic loci in strict linkage disequilibrium with rs35006907 could be the causal variants, which needs further exploration. Besides, our DCM population is limited. Although the results were in line with previous reports, additional larger studies would help verify our findings.
In conclusion, our study demonstrated that rs35006907-C allele was associated with increased risk of DCM in Han Chinese population. A series of functional investigations revealed that the rs35006907-C allele represented higher activity and increased