Abstract
The search for variants of mitochondrial genome associated with atherosclerosis, in particular, with carotid intima-media thickness (cIMT), is necessary to understand the role of the damage of mitochondrial genome in the development of atherosclerosis. Such data can be useful to provide novel genetic markers of predisposition to atherosclerosis and molecular targets for further development of technologies aimed to prevent age-related degenerative pathologies. Data presented in this article demonstrate the association of several heteroplasmic variants of mitochondrial DNA (mtDNA) previously described as proatherogenic ones with cIMT in 251 participants (190 participants from Novosibirsk, Russia, and 61 participant from Almaty, Kazakhstan). It was shown that the occurrence of some variants of mitochondrial genome is different in samples derived from Russian and Kazakh populations; the level of mitochondrial heteroplasmy m.13513G > A correlates negatively with mean cIMT in both Russian and Kazakh participants.
Keywords: Mitochondrial mutations, Heteroplasmy, Carotid atherosclerosis, Intima-media thickness, Cardiovascular risk factors
List of abbreviations
- CVD
cardiovascular disease
- PCR
polymerase chain reaction
- cIMT
carotid intima-media thickness
- BMI
body mass index
- SBP
systolic blood pressure
- DBP
diastolic blood pressure
- HDL
high-density lipoproteins
- LDL
low-density lipoproteins
- TG
triglycerides
Specifications Table
| Subject | Cardiovascular diseases |
| Specific subject area | Genetic predisposition to carotid atherosclerosis |
| Type of data | Tables and figures |
| How data was acquired | Pyrosequencing (PSQ HS96MA) Ultrasound of carotid arteries (Sonoscape S6) |
| Data format | Raw and graphs |
| Parameters for data collection | Blood samples and ultrasound images of carotid arteries from 190 subjects with subclinical atherosclerosis from Novosibirsk, Russia and 61 from Almaty, Kazakhstan were collected |
| Description of data collection | Mitochondrial heteroplasmy level m.13513G > A, m.3336T > C, m.12315G > A, m.5178C > A, m.14459G > A, m.14846G > A were determined, and their association with carotid intima-media thickness was analysed |
| Data source location | Almaty, Kazakhstan Novosibirsk, Russia |
| Data accessibility | Raw data are provided with this article |
Value of the Data
|
1. Data description
Table 1 describes clinical and laboratory characteristics of subjects from Russian population divided by sex (age, body mass index, arterial blood pressure, lipids profile, mean cIMT) indicating the differences between men and women.
Table 1.
Clinical and laboratory characteristic of subjects from Russian population.
| Women | Men | p | |
|---|---|---|---|
| Age, years | 57.8 (2.4) | 58.9 (3.1) | 0.071 |
| BMI, kg/m2 | 29.1 (4.9) | 26.4 (4.5) | 0.004* |
| SBP, mm Hg | 125 (12) | 128 (10) | 0.221 |
| DBP, mm Hg | 81 (10) | 83 (7) | 0.371 |
| Total cholesterol, mg/dL | 234 (46) | 219 (38) | 0.081 |
| HDL, mg/dL | 49.5 (12.7) | 45.4 (8.5) | 0.088 |
| LDL, mg/dL | 163.8 (41.1) | 151.2 (34.1) | 0.117 |
| TG, mg/dL | 113.4 (68.1) | 101.1 (46.3) | 0.345 |
| Mean cIMT | 0.788 (0.109) | 0.760 (0.132) | 0.207 |
*, statistically significant difference at p < 0.05.
Table 2 describes clinical and laboratory characteristics of subjects from Kazakh population divided by sex (age, body mass index, arterial blood pressure, lipids profile, mean cIMT) indicating the differences between men and women.
Table 2.
Clinical and laboratory characteristic of subjects from Kazakh population.
| Women | Men | p | |
|---|---|---|---|
| Age, years | 57.1 (6.0) | 56.9 (6.1) | 0.893 |
| BMI, kg/m2 | 27.1 (3.1) | 26.6 (2.6) | 0.553 |
| SBP, mm Hg | 120 (16) | 127 (12) | 0.068 |
| DBP, mm Hg | 77 (10) | 83 (5) | 0.015* |
| Total cholesterol, mg/dL | 207 (54) | 239 (37) | 0.016* |
| HDL, mg/dL | 45.0 (19.1) | 50.8 (16.2) | 0.244 |
| LDL, mg/dL | 142.9 (51.8) | 170.3 (40.1) | 0.036* |
| TG, mg/dL | 94.0 (48.2) | 87.5 (24.1) | 0.560 |
| Mean cIMT | 0.744 (0.107) | 0.795 (0.105) | 0.080 |
*, statistically significant difference at p < 0.05.
Table 3 demonstrates levels of mitochondrial heteroplasmy of subjects from Russian population indicating the differences between men and women.
Table 3.
Levels of mitochondrial heteroplasmy in subjects from Russian population.
| Women | Men | p | |
|---|---|---|---|
| m.13513G > A,% | 24.0 (12.3) | 20.8 (10.9) | 0.194 |
| m.3336T > C,% | 4.3 (11.2) | 2.7 (2.2) | 0.436 |
| m.12315G > A,% | 36.7 (24.8) | 31.6 (19.5) | 0.283 |
| m.5178C > A,% | 6.4 (15.3) | 13.3 (25.3) | 0.045* |
| m.14459G > A,% | 3.4 (1.7) | 4.7 (7.3) | 0.045* |
| m.14846G > A,% | 16.6 (15.7) | 20.3 (25.8) | 0.303 |
*, statistically significant difference at p < 0.05.
Table 4 demonstrates levels of mitochondrial heteroplasmy of subjects from Kazakh population indicating the differences between men and women.
Table 4.
Levels of mitochondrial heteroplasmy in subjects from Kazakh population.
| Women | Men | P | |
|---|---|---|---|
| m.13513G > A,% | 12.9 (5.7) | 10.6 (5.7) | 0.133 |
| m.3336T > C,% | 3.8 (5.0) | 4.2 (5.5) | 0.853 |
| m.12315G > A,% | 9.5 (10.3) | 14.1 (10.4) | 0.234 |
| m.5178C > A,% | 21.2 (10.8) | 24.8 (3.6) | 0.168 |
| m.14459G > A,% | 10.7 (13.0) | 7.9 (11.6) | 0.401 |
| m.14846G > A,% | 22.1 (12.5) | 18.0 (9.4) | 0.191 |
Table 5 presents clinical and laboratory characteristics (age, body mass index, arterial blood pressure, lipids profile, mean cIMT) of total groups of Russian and Kazakh subjects indicating statistical significance of the differences between populations.
Table 5.
Comparison of clinical characteristics of Russian and Kazakh population-derived samples.
| Russian, total | Kazakh, total | p | |
|---|---|---|---|
| Age, years | 57.9 (2.6) | 57.1 (6.0) | 0.097 |
| BMI, kg/m2 | 28.7 (4.8) | 26.9 (2.9) | 0.008* |
| SBP, mm Hg | 126 (12) | 122 (15) | 0.075 |
| DBP, mm Hg | 81 (9) | 79 (9) | 0.118 |
| Total cholesterol, mg/dL | 232 (44) | 218 (50) | 0.040* |
| HDL, mg/dL | 48.9 (12.2) | 47.1 (18.5) | 0.389 |
| LDL, mg/dL | 161.8 (40.3) | 152 (49.4) | 0.152 |
| TG, mg/dL | 111.4 (65.2) | 91.7 (41.0) | 0.027* |
| Mean cIMT | 0.783 (0.113) | 0.762 (0.108) | 0.219 |
*, statistically significant difference at p < 0.05.
Table 6 presents levels of mitochondrial heteroplasmy of total groups of Russian and Kazakh subjects indicating statistical significance of the differences between populations.
Table 6.
Comparison of levels of mitochondrial heteroplasmy of Russian and Kazakh population-derived samples.
| Russian, total | Kazakh, total | p | |
|---|---|---|---|
| m.13513G > A,% | 23.5 (12.1) | 12.1 (5.8) | <0.001* |
| m.3336T > C,% | 4.0 (10.3) | 3.9 (5.1) | 0.943 |
| m.12315G > A,% | 35.9 (24.1) | 10.8 (10.4) | <0.001* |
| m.5178C > A,% | 7.5 (17.4) | 22.4 (9.2) | <0.001* |
| m.14459G > A,% | 3.6 (3.3) | 9.7 (12.5) | <0.001* |
| m.14846G > A,% | 17.2 (17.6) | 20.6 (11.5) | 0.175 |
*, statistically significant difference at p < 0.05.
The analysis of samples derived from Russian (n = 190) and Kazakh (n = 61) populations demonstrates that levels of variants of heteroplasmy m.13513G > A and m.12315G > A mtDNA were significantly higher in Russian group, and heteroplasmy level of m.5178C > A and m.14459G > A was significantly higher in Kazakh group.
The association of analysed variants of mitochondrial heteroplasmy with mean carotid IMT of subjects from Russian and Kazakh populations in total groups and in men and women separately is presented in Table 7.
Table 7.
Correlation of mean carotid IMT and mitochondrial heteroplasmy level in Russian and Kazakh population-derived samples.
| Variable | Russian |
Kazakh |
||||
|---|---|---|---|---|---|---|
| Total | Women | Men | Total | Women | Men | |
| m.13513G > A | −0.235 0.001* |
−0.313 <0.001* |
−0.087 0.646 |
−0.412 0.001* |
−0.445 0.005* |
−0.276 0.214 |
| m.3336T > C | 0.030 0.686 |
0.018 0.819 |
0.232 0.217 |
−0.031 0.861 |
−0.177 0.397 |
0.208 0.564 |
| m.12315G > A | −0.018 0.808 |
−0.021 0.797 |
−0.053 0.779 |
0.262 0.128 |
0.420 0.036* |
−0.235 0.514 |
| m.5178C > A | −0.078 0.286 |
0.084 0.291 |
−0.476 0.008* |
−0.045 0.747 |
−0.106 0.537 |
−0.039 0.876 |
| m.14459G > A | 0.001 0.985 |
−0.073 0.361 |
0.111 0.558 |
0.011 0.932 |
0.033 0.844 |
0.047 0.837 |
| m.14846G > A | −0.025 0.727 |
−0.016 0.839 |
−0.026 0.891 |
0.081 0.546 |
0.062 0.720 |
0.263 0.237 |
r, Pearson's correlation coefficient and significance of correlation are shown.
*, statistical significance at p < 0.05.
Pearson's correlation analysis revealed significant association of mitochondrial heteroplasmy m.13513G > A with mean carotid IMT in both Russian and Kazakh groups. Upon subdivision of groups by sex, this correlation was significant only in women in both population-derived samples. In addition, negative correlation of m.5178C > A mitochondrial heteroplasmy with cIMT was found in male samples from Russian population, and positive correlation of m.12315G > A mitochondrial heteroplasmy was found in females from Kazakhstan. We have found no correlations of variants of mitochondrial heteroplasmy with traditional cardiovascular risk factors such as age, body mass index, blood pressure, blood cholesterol, triglycerides, high-density and low-density lipoprotein cholesterol in both groups.
Graphs of correlation of mitochondrial heteroplasmy m.13513G > A and mean carotid IMT in Kazakh and Russian population-derived samples are presented on Fig. 1, Fig. 2, respectively.
Fig. 1.
Correlation of mitochondrial heteroplasmy m.13513G > A and mean cIMT in Kazakh population-derived sample.
Fig. 2.
Correlation of mitochondrial heteroplasmy m.13513G > A and mean cIMT in Russian population-derived sample.
Dataset is presented as supplementary material.
2. Experimental design, materials and methods
The association of mitochondrial genome variation with cardiovascular disease is an extremely relevant issue of modern scientists nowadays [[1], [2], [3], [4], [5]]. Our previous data demonstrate the significant differences of mitochondrial heteroplasmy between unaffected and atherosclerotic areas of human aortic intima, and detected heteroplasmic variants of mitochondrial genome statistically related to atherosclerosis [6,7]. Furthermore, we have shown the association of several heteroplasmic mtDNA variants with carotid atherosclerosis in samples derived from Moscow population [[8], [9], [10]]. Our recent data show that the mutations of the mitochondrial genome are differently related to cardiovascular disease in genetically and clinically diverse populations, Russian and Mexican ones [11]. In this way, it seems to be important to make comparisons between ethnically different populations that have similar socio-economic conditions.
In this article the association of heteroplasmy level of mitochondrial mtDNA variants with carotid atherosclerosis in Russian and Kazazh population-derived samples, was demonstrated. In total, data on 251 participants were analysed (190 participants from Novosibirsk, Russia, and 61 participants from Almaty, Kazakhstan). Men and women were aged 50–70 years old, and females were included on additional criterion, namely, more than 5 years after spontaneous (non-surgical) menopause. All participants were free of clinical manifestations of atherosclerosis-related diseases. The protocol met the standards of Declaration of Helsinki (the revised version of 1975 and the amendments of 1983, 1989, and 1996), and has been approved by the local ethical committee at the Institute for Atherosclerosis Research; all participants have provided written informed consent prior to inclusion.
Carotid arteries were examined by high-resolution B-mode ultrasound using a SonoScape S6 scanner (SonoScape, China) equipped with a 7.5 MHz linear array probe. Both left and right common carotid arteries were visualized in different projections (anterolateral, lateral, and posterolateral). The cIMT measurements were performed on the first centimeter of common carotid arteries before carotid bulb using dedicated M'Ath PACS software (IMT, France). The mean value of these measures was considered as an integral measure of intima-media thickness (mean cIMT).
Phenol-chloroform extraction was used for mitochondrial DNA isolation from blood leukocytes [12]. Polymerase chain reaction (PCR) was used to obtain DNA fragments covering the investigated variant nucleotide [6]. Pyrosequencing of PCR fragments was carried out by device PSQ HS96MA (Biotage, Sweden) to determine the heteroplasmy level as a percent of mtDNA mutant copies, as described elsewhere [6,13].
Data processing was performed by the IBM SPSS Statistics software, version 20.0 (SPSS IBM Inc., USA). Data are expressed in terms of means and standard deviation. The significance of differences was defined at the 95% level of confidence. Pearson's correlation analysis was used to evaluate the association of mitochondrial heteroplasmy with cIMT.
Acknowledgements
This work was supported by Russian Science Foundation, grant number 19-15-00297.
Authors are grateful to Prof. M.R. Rysuly, Scientific Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan for collaboration.
Footnotes
Supplementary data to this article can be found online at https://doi.org/10.1016/j.dib.2020.105136.
Conflict of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
Appendix A. Supplementary data
The following are the Supplementary data to this article:
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