BioMed Research International

Volume 2014 (2014), Article ID 907360, 7 pages

http://dx.doi.org/10.1155/2014/907360

Research Article

Cardiac Troponin T (TNNT2) Mutations in Chinese Dilated Cardiomyopathy Patients

Xiaoping Li,1,2 Rong Luo,³ Haiyong Gu,⁴ Yun Deng,³ Xiaolei Xu,⁵ Xiushan Wu,³ and Wei Hua¹

¹Cardiac Arrhythmia Center, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China

²Department of Cardiology, Sichuan Academy of Medical Sciences and Sichuan Provincial People’s Hospital, Chengdu, Sichuan 610072, China

³The Center of Heart Development, Key Lab of MOE for Development Biology and Protein Chemistry, College of Life Science, Hunan Normal University, Changsha, Hunan 410081, China

⁴Department of Cardiothoracic Surgery, Cardiovascular Institute and Fuwai Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100037, China

⁵Division of Cardiovascular Diseases, Mayo Clinic College of Medicine, Rochester, MN 55905, USA

Received 6 February 2014; Accepted 28 May 2014; Published 7 July 2014

Academic Editor: Gianluca Di Bella

Copyright © 2014 Xiaoping Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract.

Background. Dilated cardiomyopathy (DCM) is one of the leading causes of heart failure with high morbidity and mortality. Although more than 40 genes have been reported to cause DCM, the role of genetic testing in clinical practice is not well defined. Mutations in the troponin T (TNNT2) gene represent an important subset of known disease-causing mutations associated with DCM. Therefore, the aim of the present study was to determine the genetic variations in TNNT2 and the associations of those variations with DCM in Chinese patients. Methods. An approximately 4 kb fragment of the TNNT2 gene was isolated from 103 DCM patients and 192 healthy controls and was analyzed by DNA sequence analysis for genetic variations. Results. A total of 6 TNNT2 mutations were identified in 99 patients, including a G321T missense mutation (Leu84Phe) and 5 novel intronic mutations. Alleles of two novel SNPs (c. CA, OR , 95% CI: , ; c. GA, OR , 95% CI: , ) and SNP rs3729843 (OR , 95% CI: ; ) were significantly correlated with DCM. Conclusions. These results suggest that the missense mutation (Leu84Phe) and two novel SNPs (c. CA, c. GA) in TNNT2 gene might be associated with DCM in the Chinese population.

1. Background

Idiopathic or primary dilated cardiomyopathy (DCM) is one of the leading causes of heart failure with high morbidity and mortality [1, 2]. The prevalence of DCM is 36.5 cases per 100,000 individuals, and 30–50% of all cases are diagnosed as a familial form of DCM [2–4]. Recent studies have reported that more than 40 genes, including 2 X-linked genes, are associated with DCM [5, 6]. In the vast majority of cases, these genes encode for sarcomeric contractile proteins such as troponin T (TNNT2), troponin I (TNNI3), and cardiac α-actin (ACTC) [7, 8].

The TNNT2 gene (OMIM number *191045) encodes the thin-filament contractile protein cardiac troponin T, which links the troponin complex to tropomyosin in the sarcomere [9]. TNNT2 contains 16 exons, is located on chromosome 1q32, and comprises 25 kb of the genome. Recent data have indicated that TNNT2 mutations are associated with DCM and that the overall frequency of TNNT2 mutations in familial DCM is approximately 3–6% [10, 11]. In our laboratory, we found a significant association between tagging SNPs rs3729547, rs3729843 of TNNT2 and DCM in the Chinese Han population [12]. In the present study, we further explored additional variants in DCM patients by sequencing an approximately 4 kb (3992 bp) DNA fragment covering the rs3729843 and rs3729547 mutations. We identified 6 novel TNNT2 mutations in DCM patients, including a G12026T (c.252 G>T) missense mutation (Leu84Phe), 5 novel mutations in introns, and 2 novel single-nucleotide polymorphisms (SNP) (c.192 + 353 C>A, c.192 + 463 G>A).

2. Materials and Methods

2.1. Subjects and Selection of Tagging SNPs

This case-control study enrolled 103 unrelated DCM patients from the Fuwai Hospital. The clinical diagnosis of DCM was made in accordance with revised criteria [2]. Primary DCM was defined as systolic dysfunction (left ventricular (LV) ejection fraction <50%) with or without LV dilation in the absence of an apparent secondary cause of cardiomyopathy (such as congenital heart disease, ischemic heart disease, uncontrolled hypertension, significant valvular disease, glycogen storage disease, arrhythmogenic right ventricular cardiomyopathy, or concomitant complex congenital heart disease). Coronaroangiography was performed in all patients and patients with coronary artery disease were excluded. A total of 192 healthy, unrelated individuals from a routine health survey were enrolled as controls. This study was approved by the Ethics Committee of Fuwai Hospital. Subjects were informed of the study aims and provided written, informed consent prior to participating.

2.2. Samples

Blood samples were collected via puncture of the cubital vein. Tubes with ethylene diamine tetra acetic acid were used for DNA analysis. Blood samples were stored at 4°C and DNA isolation was performed by a modified salting out procedure [13] within a week of collection.

2.3. DNA Sequencing

Based on the SNP and linkage disequilibrium analysis of TNNT2 in our recent study in DCM patients [12], an approximately 4-kilo-base (kb) fragment of TNNT2 located at chr.201333582-201337484 was selected, and the fragment included exons 6, 7, 8, 9, and 10 and introns 5, 6, 7, 8, 9, and 10. The TNNT2 fragment was amplified by PCR with primers (primer sequences available on request). Products were then sequenced using an ABI 3730 DNA Sequencer (Applied Biosystems, Foster City, CA). The DNA sequence was viewed and analyzed using the Sequencher computer program (Gene Codes Corporation, Ann Arbor, MI).

2.4. Statistical Analysis

Differences in the distributions of selected variables and TNNT2 genotypes between cases and controls were evaluated using the chi-square test and continuous variables were analyzed using the independent-samples Student’s t-test. The correlation between the TNNT2 genotype and the risk of DCM was estimated by using logistic regression analysis to compute odds ratios (ORs) and 95% confidence intervals (CIs). The test was used to determine Hardy-Weinberg equilibrium among control subjects. All statistical analyses were performed with SPSS 16.0 (SPSS Inc., Chicago, IL, USA) and a value of <0.05 was considered statistically significant.

3. Results

3.1. Characteristics of the Study Cohort

The study included 295 subjects, consisting of 103 patients with DCM and 192 healthy control subjects; 4 patients and 3 control subjects were excluded from analyses due to indeterminate sequence results. A total of 79.4% of control subjects were males with a mean age of years. Patients with DCM were of a similar age to controls ( years; , ) and were made up of a similar percentage of males (77.3%; , ). In addition, 43.3% of DCM patients were smokers. There were no pregnant or peripartum subjects in this study. DCM patients were defined as having systolic dysfunction (LV ejection fraction <50%), LV dilation detected by echocardiogram, and no apparent secondary cause of cardiomyopathy. In DCM patients, the mean LV ejection fraction was %, LV diameter was  mm, and left atrium diameter was  mm. The genotypic frequencies of each SNP in control subjects fit the assumption of Hardy-Weinberg equilibrium (Table 1).

Table 1: The sequences of the primers used to amplify the 4 kb region in TNNT2.

Markers
Sequences of PCR primers
Tm
Length

TNNT2-1F
CATGTTCTGTGGTGCCAGAC
57
899

TNNT2-1R
TGCCACCAAGTTCTGTCCTC
58

TNNT2-2F
AGGAGGCTGAAGGTAAGGAT
55
691

TNNT2-2R
ACACTCACGCAGTGTGGAAC
56

TNNT2-3F
AGGCCTTGTCACTGTGAAGC
58
573

TNNT2-3R
TGCACGATTGGTGATGGAGT
59

TNNT2-4F
TGTGTACTGCACAAGCGTCTC
59
514

TNNT2-4R
GTGCACAAGAGGCCAGGAAG
61

TNNT2-5F
ATAGGCATGGCGGCTTCA
60
862

TNNT2-5R
ACAGCCACCGCTTACATCAA
59

TNNT2-6F
GGCAGTGCTGGAAGATTCTC
57
629

TNNT2-6R
GGCCATCAGAGAATGTTAGG
55

TNNT2-7F
AATGAGTTGCAGGCGCTGAT
61
454

TNNT2-7R
CTCCAGCCAGAGCAGCATGT
61

TNNT2-8F
CCTTGACTGCCAGAGCTGAG
58
559

TNNT2-8R
GAGAAGGTGACATCGCAGGTA
59

3.2. Identification of Mutations

The screening of the 3992-nucleotide fragment of TNNT2 led to the identification of one novel missense mutation. A single-nucleotide variant consisting of a G>T transversion (TTG>TTT) at nucleotide 12026 (G12026T, c.252 G>T) (Figure 1) in exon 9 was found in one DCM patient and would substitute a phenylalanine for the normal leucine at residue 84 (Leu84Phe). This patient was diagnosed at the age of 43 and was clinically symptomatic of heart failure, with LV 60 mm and LV ejection fraction 31%. Additionally, this patient had a familial history of coronary heart disease. In addition, we also identified 5 mutations in introns 6, 7, 9, and 10 in a subset of the DCM patients (Figure 1). Their clinical data are shown in Table 2.

Table 2: Mutations in TNNT2 in DCM patients.

Markers
Exon/intron
Location of nucleotide change
Amino acid change
Number of patients
Gender
Age at diagnosis (years)
Family history
LVEDD (mm)
LVEF (%)

c.
Intron 6
201337183 C>T
Noncoding
1
Male
37
No
82
18

c.
Intron 6
201336948 C>T
Noncoding
1
Male
30
No
81
31

c.
Intron 7
201336387 A>C
Noncoding
1
Male
59
Suspensive coronary heart disease
60
45

c.252
Exon 9
201334780 G>T
Leu 84 Phe
1
Male
43
Suspensive

coronary heart disease
60
31

c.
Intron 9
201334595 G>A
Noncoding
1
Male
45
No
58
40

c.
Intron 10
201333948 A>G
Noncoding
1
Male
62
Suspensive cardiovascular disease
80
36

Note: LVEDD: left ventricular end-diastolic diameter; LVEF: left ventricular ejection fraction.

Figure 1: Sequences of TNNT2. Six novel variants in TNNT2 gene in DCM patients, including a missense mutation (G12026T, c.252 G>T, Leu84Phe), five novel variants in introns, respectively.

3.3. Identification of Polymorphisms

During sequence analysis, 11 known SNPs and two novel SNPs (c.192 + 353 C>A, c.192 + 463 G>A) were identified in both DCM patients and control samples. We compared the genotype and allele frequencies of the TNNT2 SNPs between the DCM patients and control subjects. Our results showed that the allele of the two novel SNPs (c.192 + 353 C>A, , 95% , ; c.192 + 463 G>A, , 95% , ) and SNP rs3729843 (, 95% , ) were significantly correlated with DCM. The allele and genotype frequencies of the 13 SNPs identified in both DCM patients and control subjects are shown in Table 3, with corresponding results from statistical analysis.

Table 3: Genotype and allele frequencies of the SNPs in TNNT2 in the DCM patients and control subjects.

Marker
Genotype
, P value
Allele
value
OR (95% CI)
Power

rs45576939
A/A
A/G
G/G

A
G
0.173
0.235 (0.029, 1.889)
28%

    Patients
0 (0)
1 (0.01)
97 (0.99)

1 (0.01)
195 (0.99)

    Controls
0 (0)
8 (0.043)
179 (0.957)

8 (0.021)
366 (0.979)

rs3729842
C/C
C/T
T/T

C
T
0.865
1.042 (0.651, 1.667)
5.4%

    Patients
74 (0.755)
16 (0.163)
8 (0.082)

164 (0.837)
32 (0.163)

    Controls
135 (0.722)
45 (0.241)
7 (0.037)

315 (0.842)
59 (0.158)

rs3729843
A/A
A/G
G/G

A
G
0.002
1.889 (1.252, 2.852)
85.2%

    Patients
11 (0.112)
33 (0.337)
54 (0.551)

55 (0.281)
141 (0.719)

    Controls
7 (0.037)
50 (0.267)
130 (0.695)
P  =  0.004
64 (0.171)
310 (0.829)

rs1892028
A/A
A/G
G/G

A
G
0.140
0.770 (0.544, 1.090)
31.3%

    Patients
31 (0.313)
54 (0.5)
14 (0.143)

116 (0.586)
82 (0.414)

    Controls
55 (0.294)
86 (0.460)
47 (0.251)

196 (0.521)
180 (0.479)

rs10800775
C/C
C/T
T/T

C
T
0.152
0.766 (0.533, 1.103)
29.7%

    Patients
46 (0.465)
45 (0.455)
9 (0.090)

137 (0.685)
63 (0.315)

    Controls
73 (0.388)
89 (0.473)
26 (0.138)

235 (0.625)
141 (0.375)

rs7544061
T/T
T/C
C/C

T
C
0.612
0.821 (0.383, 1.761)
73%

    Patients
0 (0)
10 (0.101)
89 (0.899)

10 (0.051)
188 (0.949)

    Controls
0 (0)
23 (0.116)
166 (0.834)

23 (0.061)
355 (0.939)

rs3767545
A/A
A/G
G/G

A
G
0.294
1.680 (0.638, 4.424)
20.3%

    Patients
0 (0)
8 (0.081)
91 (0.919)

8 (0.04)
190 (0.960)

    Controls
0 (0)
9 (0.049)
175 (0.951)

9 (0.024)
359 (0.976)

rs3729547
C/C
T/C
T/T

C
T
0.033
0.679 (0.475, 0.970)
56.9%

    Patients
9 (0.092)
51 (0.520)
38 (0.388)

69 (0.352)
127 (0.648)

    Controls
37 (0.196)
94 (0.497)
58 (0.307)

168 (0.444)
210 (0.556)

rs3767546
A/A
A/T
T/T

A
T
0.457
0.751 (0.353, 1.597)
10.6%

    Patients
0 (0)
10 (0.102)
89 (0.908)

10 (0.051)
188 (0.949)

    Controls
1 (0.005)
23 (0.122)
165 (0.873)

25 (0.067)
353 (0.934)

rs117962659
C/C
C/A
A/A

C
A
0.186
1.920 (0.730, 5.049)
12.4%

    Patients
0 (0)
6 (0.061)
93 (0.939)

6 (0.030)
192 (0.970)

    Controls
1 (0.005)
15 (0.080)
172 (0.915)

17 (0.045)
359 (0.955)

rs2275860
A/A
A/G
G/G

A
G
0.448
0.745 (0.351, 1.588)
10.8%

    Patients
1 (0.010)
8 (0.081)
90 (0.909)

10 (0.051)
188 (0.949)

    Controls
0 (0)
25 (0.133)
163 (0.867)

25 (0.066)
351 (0.934)

c.192 + 353 C/A
C/C
C/A
A/A

C
A
0.022
0.095 (0.013, 0.714)
87.2%

    Patients
98 (0.990)
1 (0.010)
0 (0)

197 (0.995)
1 (0.005)

    Controls
168 (0.898)
19 (0.102)
0 (0)
P  =  0.004
355 (0.949)
19 (0.051)

c.192 + 463 G/A
G/G
A/G
A/A

G
A
0.019
0.090 (0.012, 0.675)
89.7%

    Patients
98 (0.99)
1 (0.01)
0 (0)

197 (0.995)
1 (0.005)

    Controls
167 (0.893)
20 (0.107)
0 (0)
P  =  0.003
354 (0.947)
20 (0.053)

Note: OR: odds ratio, at which the minor allele was viewed as an exposure factor in this case-control study.

4. Discussion

In our study, we analyzed a 3992-nucleotide sequence of the TNNT2 gene containing exons 6, 7, 8, 9, and 10 and introns 5, 6, 7, 8, 9, 10, and 11. We identified 6 novel TNNT2 mutations in DCM patients, including a missense mutation (G12026T, c.252 G>T, Leu84Phe) and 5 novel intronic mutations. We also found that the genotype of two novel single-nucleotide polymorphisms (c.192 + 353 C>A, c.192 + 463 G>A) and the previously identified rs3729843 [12] were correlated with DCM. These data indicate that TNNT2 variants are associated with DCM in Chinese population. To our knowledge, the two novel SNPs and the six mutations, in which five are in intron and one is in exon, have not been reported in dilated cardiomyopathy before.

Dilated cardiomyopathy is an important cause of heart failure and the leading indication for cardiac transplantation worldwide [14]. With careful evaluation of relatives, familial disease can be identified in approximately 30% of patients with idiopathic DCM [15]. Genetic characterization of DCM has been a challenging task owing to incomplete knowledge of the genes involved in the disease as well as difficulties in determining the clinical significance of DNA variants identified in patients. More than 40 different genes have been implicated in the pathophysiology of DCM [5, 6], and TNNT2 mutations in familial DCM are approximately 3–6% [10, 11].

Cardiac troponin (cTn) is made up of three distinct subunits, each named according to its function: cardiac troponin I (cTnI) can inhibit the actomyosin ATPase activity independently of the other Tn subunits; cardiac troponin C (cTnC) binds Ca²⁺ to a low affinity Ca²⁺-specific binding site, relieving the cTnI inhibition; and cardiac troponin T (cTnT) binds the entire cTn complex to tropomyosin (Tm) [16, 17]. Recent studies have suggested that cardiac TnT is essential not only for the structural integrity of the troponin complex but also for sarcomere assembly and cardiac contractility [18]. The troponin complex is a calcium sensor that regulates the contraction of striated muscle and modulates actomyosin ATPase activity and force [19]. Over the past decade, mutations in the TNNT2 gene have been found to be associated with familial HCM and DCM [3, 10, 11, 20–22]. Many studies in reconstituted systems have provided valuable information on the functional effects of disease-associated mutations in TnT [23–28].

Independent laboratories have consistently observed that changes in Ca²⁺-sensitivity, ATPase activity, or force development due to cTn mutations decrease in DCM [23, 24]. All DCM mutations in cTnT (R131W, R141W, R205L, and ΔK210) showed decreases in ATPase activation [25–28]. Mutant transgenic mice expressing cTnT I79N show increased Ca²⁺ sensitivity of force development and decreased force per cross-sectional area [24]. The observed decrease in force per cross-sectional area by this mutation has been reported by different groups [29, 30]. Lin and colleagues [31] demonstrated that transgenic mice carrying either cTnT mutations F110I or R278C displayed significant increases in energy cost. Alterations in the energy cost could be explained as an increase in the rate of dissociation of myosin cross bridges and/or a decrease in the average force per cross bridge. The functional effects of a cTnT mutation (ΔK210) linked to DCM have been explored in reconstituted systems and in animal models. In vitro studies showed that cTnT ΔK210 exchanged in skinned porcine cardiac fibers decreased the relative maximal force [27, 29].

In the present study, we found a missense mutation (G12026T, c.252 G>T, Leu84Phe) in one DCM patient. This mutation was first reported in DCM patients and resulted in the substitution of a phenylalanine for the normal leucine at residue 84 in TnT. We used the website http://www.proteinmodelportal.org/query/pdb to query the crystal structure of the 52 kDa domain of human TNNT2; however, the crystal structure around the 84th amino acid in the protein is not reported up to now. Therefore, we estimate the damage of TNNT2 Leu 84 Phe transition using website http://genetics.bwh.harvard.edu/pph/. The result indicated that the mutation is predicted to be probably damaging with a score of 0.992 (total score is equal to one; sensitivity 0.7; specificity 0.97). The 84th amino acid in TNNT2 is a very conserved site in human, rat, mice, and zebrafish. The 84th amino acid was substituted by phenylalanine which function and structure with a benzene ring is different from leucine. Therefore, this mutation might contribute to the occurrence of dilated cardiomyopathy.

In addition, we found 5 intronic mutations in DCM patients as well as a significant association between the genotypes of 2 novel SNPs and rs3729843 with DCM. Although there were no encoding amino acid changes in these mutations and polymorphisms, numerous functional roles for introns have been elucidated; these functions include augmenting proteome diversity by enabling alternative splicing, enhancing gene expression, and harboring various cis- and trans-regulatory elements [32–37]. In addition, some studies also showed that some polymorphisms in noncoding regions may influence the expression level of the encoded protein, thus resulting in a more subtle variation in the associated phenotype [38]. These results suggest that TNNT2 mutations and polymorphisms may play an important role in DCM in the Chinese Han population. However, additional functional analyses are needed to confirm the role of these variants in DCM pathogenesis.

In conclusion, based on the sequence analysis of TNNT2 in DCM patients, the present study identified 6 novel TNNT2 variants, a missense mutation (G12026T, c.252 G>T, Leu84Phe), 5 mutations in introns, SNP rs3729843, and 2 novel single-nucleotide polymorphisms (c.192+353 C>A, c.192+463 G>A). These TNNT2 variants might be associated with DCM in the Chinese population.

5. Limitations of the Study

There are clear limitations to the feasibility and practicality of screening for mutations in only one gene. Genetic analysis as performed in this study, which is limited to only a small number of potentially involved exons, does not seem to be applicable. It was impossible to screen all other genes associated with DCM, so we cannot exclude the possibility that some patients were compound heterozygotes. Functional analyses of mutations are required to confirm the findings in this study. In addition, most of patients and many SNPs are the same as those in the previous study [12] although the detecting method is different.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Acknowledgments

This study was supported in part by Grants from the National Natural Science Foundation of China (nos. 81000104, 81160141), the China Postdoctoral Science Foundation (2012M510356, 2013M542120), and the Postdoctoral Fellows Foundation of the Chinese Academy of Medical Sciences (2011-XH-9).

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