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. 2018 Mar 12;18:16–21. doi: 10.1016/j.dib.2018.02.068

Data on association of mitochondrial heteroplasmy and cardiovascular risk factors: Comparison of samples from Russian and Mexican populations

Tatiana V Kirichenko a,, Igor A Sobenin a, Zukhra B Khasanova a, Varvara A Orekhova a, Alexandra A Melnichenko b, Natalya A Demakova b, Andrey V Grechko c, Alexander N Orekhov d,e, Jorge L Ble Castillo f, Tatiana P Shkurat b
PMCID: PMC5995799  PMID: 29896485

Abstract

Despite the fact that the role of mitochondrial genome mutations in a number of human diseases is widely studied, the effect of mitochondrial heteroplasmy in the development of cardiovascular disease has not been adequately investigated. In this study, we compared the heteroplasmy levels of mtDNA from leukocytes for m.3256C>T, m.3336T>C, m.12315G>A, m.5178C>A, m.13513G>A, m.14459G>A, m.14846G>A, m.15059G>A, m.652insG and m.1555A>G mutations in CVD-free subjects and CVD patients in samples derived from Russian and Mexican populations. It was demonstrated that heteroplasmy level of m.5178C>A was associated with CVD in Russian men, and m.14459G>A – in Russian women. Mitochondrial heteroplasmy level of m.13513G>A and m.652insG were associated with CVD in Mexican men, and only m.652insG– in Mexican women. The levels of heteroplasmy for mitochondrial mutations m.3336T>C, m.5178C>A, m.14459G>A, m.14846G>A and m.1555A>G were significantly higher in CVD-free Mexican men, and for m.3256C>T, m.3336T>C, and m.14459G>A – in CVD-free Mexican women.

List of Abbreviations: CVD, cardiovascular disease; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; MI, myocardial infarction; HDL, high-density lipoproteins; LDL, low-density lipoproteins; TG, triglycerides

Keywords: Mitochondrial mutations, Heteroplasmy, Atherosclerosis, Cardiovascular risk factors, Coronary heart disease


Specifications Table

Subject area Cardiovascular diseases
More specific subject area Genetic predisposition to cardiovascular disease
Type of data Tables
How data was acquired Pyrosequencing, clinical data, biochemical analysis
Data format Analysed
Experimental factors Not applicable
Experimental features Mitochondrial mutations m.1555A>G, m.3256C>T, m.3336T>C, m.5178C>A, m.12315G>A, m.13513G>A, m.14459G>A, m.14846G>A, m.15059G>A, m.652insG were determined using pyrosequencing technology, and their association with CVD was analysed
Data source location Rostov-on-Don, Russia
Moscow, Russia
Villahermosa, Mexico
Data accessibility Data are provided in this article

Value of the data

  • The study shows that in genetically and clinically diverse populations, Russian and Mexican ones, the mutations of the mitochondrial genome are differently related to cardiovascular disease.

  • In samples from Russian population, mitochondrial heteroplasmy level of m.5178C>A and m.14459G>A were significantly higher in men and women with CVD, respectively. In samples from Mexican population, heteroplasmy level of these mutations was significantly higher in CVD-free study participants. More, in Mexican population, heteroplasmy levels of m.13513G>A and m.652insG were associated with CVD in males, and m.652insG– in females. Higher level of heteroplasmy of mutations m.3336T>C, m.5178C>A, m.14459G>A, m.14846G>A and m.1555A>G was demonstrated in healthy men, and that of m.3256C>T, m.3336T>C, and m.14459G>A – in healthy women.

  • Estimation of the associations of as much as possible mitochondrial mutations with risk factors and clinical signs of coronary heart disease and atherosclerosis provides an important source for further investigation of the role of mitochondrial heteroplasmy level in the development of cardiovascular pathology.

1. Data

Clinical and laboratory characteristics of Russian and Mexican study participants are presented in Table 1, Table 2.

Table 1.

Characteristic of Russian study participants.

Variable Men
Women
Healthy CVD p Healthy CVD p
Age, years 62.8(10.5) 61.6(9.0) .630 62.2(8.5) 62.5(7.6) .926
BMI, kg/m2 26.3(4.0) 27.6(4.3) .278 26.1(5.9) 27.1(6.3) .656
SBP, mm Hg 142(18) 138(14) .358 133(15) 128(11) .324
DBP, mm Hg 84(12) 82(11) .499 82(9) 77(7) .258
Smoking, % 11 15 .684 4 9 .108
Diabetes, % 9 15 .514 7 9 .581
MI, % 0 5 .791 0 0 .853
Total cholesterol, mg/dL 233.9(47.9) 227.8(50.2) .642 254.3(51.4) 257.5(51.3) .863
HDL, mg/dL 61.6(15.7) 57.2(12.8) .271 71.6(14.9) 75.7(14.1) .438
LDL, mg/dL 147.1(41.6) 138.7(48.7) .480 160.8(46.1) 153.9(47.2) .677
TG, mg/dL 125.9(55.5) 159.5(102.7) .092 109.1(51.1) 139.3(50.8) .105

Mean (SD) values are shown.

Table 2.

Characteristic of Mexican study participants.

Variable Men
Women
Health CVD p Health CVD p
Age, years 58.6(11.3) 61.5(10.4) .219 60.5(10.1) 63.8(8.4) .217
BMI, kg/m2 30.0(4.9) 28.5(6.5) .242 30.8(4.6) 31.0(6.7) .900
SBP, mm Hg 127(21) 124(16) .394 136(22) 135(20) .888
DBP, mm Hg 78(11) 75(9) .137 77(8) 73(9) .137
Smoking, % 44 56 .281 20 38 .160
Diabetes, % 19 51 .002* 30 50 .144
MI, % 0 35 <.001* 0 21 .008*
Total cholesterol, mg/dL 208.2(44.5) 159.4(49.7) <.001* 209.1(50.0) 178.7(51.2) .037*
HDL, mg/dL 42.0(8.1) 34.0(10.8) <.001* 8.1(8.8) 39.7(10.9) .004*
LDL, mg/dL 123.8(33.8) 85.9(36.4) <.001* 116.4(33.6) 104.5(40.1) .263
TG, mg/dL 212.1(102.0) 193.4(66.6) .563 223.6(141.6) 169.1(93.6) .122

Mean (SD) values are shown.

*

Statistically significant difference at p<.05.

Table 3 demonstrates statistical significance of the differences in clinical and biochemical characteristics between Russian and Mexican study participants.

Table 3.

Comparison of Russian and Mexican populations.

Variable Men
Women
Healthy, p CVD, p Healthy, p CVD, p
Age, years .093 .955 .508 .659
BMI, kg/m2 .001* .569 .002* .118
SBP, mm Hg .002* .001* .657 .319
DBP, mm Нg .021* .005* .055 .256
Smoking, % .001* <.001* .056 .089
Diabetes, % .210 .001* .026* .020*
MI, % .009* .022*
Total cholesterol, mg/dL .019* <.001* .001* <.001*
HDL, mg/dL <.001* <.001* <.001* <.001*
LDL, mg/dL .011* <.001* <.001* .009*
TG, mg/dL <.001* .396 <.001* .241
*

Statistically significant difference at p<.05.

Mitochondrial heteroplasmy level in Russian and Mexican study participants is presented in Table 4, Table 5.

Table 4.

Mitochondrial heteroplasmy level of Russian participants.

Mitochondrial heteroplasmy, % Men
Women
Healthy CVD p Healthy CVD p
m.12315G>A 27.8(22.9) 26.6(16.1) .803 32.4(15.7) 34.0(15.0) .777
m.3256C>T 21.2(16.8) 18.9(10.2) .561 22.2(12.3) 23.5(14.8) .770
m.3336T>C 7.9(5.6) 10.5(21.3) .452 7.8(7.9) 8.5(3.5) .762
m.5178C>A 10.5(12.1) 17.9(15.9) .044* 16.0(4.2) 18.3(5.8) .185
m.13513G>A 27.8(24.6) 31.0(21.4) .619 23.8(13.2) 21.4(13.1) .609
m.14459G>A 38.5(26.7) 31.9(26.9) .362 18.5(9.2) 28.7(16.9) .019*
m.14846G>A 14.1(17.1) 15.7(17.8) .731 16.5(19.8) 13.1(4.8) .575
m.15059G>A 35.2(32.5) 23.1(14.0) .636 36.3(13.1) 43.7(11.0) .106
m.652insG 28.6(22.5) 26.8(19.3) .752 15.7(17.2) 15.6(16.5) .994
m.1555A>G 17.4(16.4) 17.2(9.5) .954 16.7(8.9) 18.3(10.1) .637

Mean (SD) values are shown.

*

Statistically significant difference at p<.05.

Table 5.

Mitochondrial heteroplasmy level of Mexican participants.

Mitochondrial heteroplasmy, % Men
Women
Healthy CVD p Healthy CVD p
m.12315G>A 5.4(8.5) 4.0(3.4) .260 2.7(2.6) 2.7(1.8) .998
m.3256C>T 10.5(1.9) 10.1(2.1) .364 10.4(1.9) 9.4(1.7) .043*
m.3336T>C 2.6(0.8) 1.7(0.5) <.001* 2.6(9.6) 1.6(5.6) <.001*
m.5178C>A 10.3(27.7) 1.7(0.8) .017* 1.6(6.8) 7.6(20.7) .122
m.13513G>A 18.3(7.2) 27.8(9.8) <.001* 20.0(6.6) 23.2(7.2) .098
m.14459G>A 3.1(0.2) 2.8(0.2) <.001* 3.2(2.5) 2.7(0.2) <.001*
m.14846G>A 11.5(4.9) 10.0(1.8) .034* 10.9(2.7) 9.8(2.2) .106
m.15059G>A 3.1(0.6) 3.6(1.5) .085 3.1(0.6) 3.4(0.7) .216
m.652insG 20.0(7.1) 26.0(17.6) <.001* 21.1(7.3) 27.5(7.4) .003*
m.1555A>G 30.0(43.6) 12.1(5.8) .002* 15.7(7.9) 21.8(29.2) .285

Mean (SD) values are shown.

*

Statistically significant difference at p<.05.

In samples from Russian population, heteroplasmy level of m.5178C>A is significantly higher in male study participants with CVD than in healthy men; heteroplasmy level of m.14459G>A prevails significantly in women with CVD.

In the sample from Mexican population, heteroplasmy level of m.13513G>A and m.652insG prevails significantly in men with CVD, heteroplasmy level of m.3336T>C, m.5178C>A, m.14459G>A, m.14846G>A and m.1555A>G are significantly higher in healthy men; m.652insG is significantly higher in female study participants with CVD, and m.3256C>T, m.3336T>C, m.14459G>A – in CVD-free women.

Table 6 demonstrates statistical significance of the difference of mitochondrial heteroplasmy level between Russian and Mexican study participants.

Table 6.

Comparison of mitochondrial heteroplasmy level in Russian and Mexican study participants.

Mitochondrial heteroplasmy Men
Women
Health, p CVD, p Health, p CVD, p
m.12315G>A <.001* <.001* <.001* <.001*
m.3256C>T .001* <.001* <.001* <.001*
m.3336T>C <.001* .002* .001* .010*
m.5178C>A .957 <.001* <.001* .030*
m.13513G>A .037* .355 .172 .598
m.14459G>A <.001* <.001* <.001* <.001*
m.14846G>A .416 .015* .137 .009*
m.15059G>A <.001* <.001* <.001* <.001*
m.652insG .040* .803 .122 .006*
m.1555A>G .081 .006* .647 .701
*

Statistically significant difference at p<.05.

2. Experimental design, materials and methods

Previously we have developed a quantitative assay of mutant allele measurement for mitochondrial heteroplasmic mutations [1] and demonstrated significant differences between unaffected areas and atherosclerotic lesions in human aortic intima [2]. Further the association of mitochondrial genetic variation with vascular diseases and carotid atherosclerosis has been demonstrated [3], [4], [5], [6].

In this study, the association of heteroplasmy level of mitochondrial mutations with CVD in Russian and Mexican populations was estimated. In total, 300 participants (150 in Russia, and 150 in Mexica) were included in the study. Men and women aged from 55 to 79 years (for women – at least five years after menopause). Study participants were divided into CVD-free and CVD group by the results of cardiological examination. CVD group included patients who have been observed by a cardiologist with diagnosed CVD.

The observed levels of heteroplasmy did not reach the necessary level for the development of mitochondrial disorders in this study, since it is known that the level of mitochondrial heteroplasmy in patients should exceed 50% to evolve clinical manifestations [7].

The study was conducted in accordance with the Helsinki Declaration of 1975 as revised in 1983; all participants gave their written informed consent prior to their inclusion in the study.

Mitochondrial DNA was isolated by phenol-chloroform extraction [8]. Polymerase chain reaction (PCR) was used in order to obtain DNA fragments containing the region of the investigated mutations [1]. Analysis of the heteroplasmy level was carried out in the investigated mutations using the original quantitative method previously developed on the basis of pyrosequencing technology [9]. The level of heteroplasmy, i.e. % mutant copies of mtDNA from their total amount in the sample was estimated.

Statistical analysis was performed using the IBM SPSS 20.0 software (IBM Inc., USA). Data are expressed in terms of means and standard deviation.

Acknowledgements

This study was supported by the Russian Science Foundation, 14-14-01038.

Footnotes

Transparency document

Supplementary data associated with this article can be found in the online version at 10.1016/j.dib.2018.02.068.

Transparency document. Supplementary material

Supplementary material.

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References

  • 1.Sazonova M.A., Budnikov E.Y., Khasanova Z.B., Sobenin I.A., Postnov A.Y. Studies of the human aortic intima by a direct quantitative assay of mutant alleles in the mitochondrial genome. Atherosclerosis. 2009;204:184–190. doi: 10.1016/j.atherosclerosis.2008.09.001. [DOI] [PubMed] [Google Scholar]
  • 2.Sobenin I.A., Sazonova M.A., Postnov A.Y., Bobryshev Y.V., Orekhov A.N. Mitochondrial mutations are associated with atherosclerotic lesions in the human aorta. Clin. Dev. Immunol. 2012:832464. doi: 10.1155/2012/832464. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Weakley S.M., Jiang J., Kougias P., Lin P.H., Yao Q., Brunicardi F.C., Gibbs R.A., Chen C. Role of somatic mutations in vascular disease formation. Expert Rev. Mol. Diagn. 2010;10:173–185. doi: 10.1586/erm.10.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Sung Y.F., Lu C.C., Lee J.T., Hung Y.J., Hu C.J., Jeng J.S., Chiou H.Y., Peng G.S. Homozygous ALDH2*2 is an independent risk factor for ischemic stroke in Taiwanese men. Stroke. 2016;47:2174–2179. doi: 10.1161/STROKEAHA.116.013204. [DOI] [PubMed] [Google Scholar]
  • 5.Sazonova M.A., Sinyov V.V., Barinova V.A., Ryzhkova A.I., Bobryshev Y.V., Orekhov A.N., Sobenin I.A. Association of mitochondrial mutations with the age of patients having atherosclerotic lesions. Exp. Mol. Pathol. 2015;99:717–719. doi: 10.1016/j.yexmp.2015.11.019. [DOI] [PubMed] [Google Scholar]
  • 6.Sobenin I.A., Zhelankin A.V., Mitrofanov K.Y., Sinyov V.V., Sazonova M.A., Postnov A.Y., Orekhov A.N. Mutations of mitochondrial DNA in atherosclerosis and atherosclerosis-related diseases. Curr. Pharm. Des. 2015;21:1158–1163. doi: 10.2174/1381612820666141013133000. [DOI] [PubMed] [Google Scholar]
  • 7.Smith P.M., Lightowlers R.N. Altering the balance between healthy and mutated mitochondrial DNA. J Inherit. Metab. Dis. 2011;34:309–313. doi: 10.1007/s10545-010-9122-6. [DOI] [PubMed] [Google Scholar]
  • 8.Maniatis T., Sambrook J., Fritsch E.F. Cold Spring Harbor Laboratory; New York: 1982. Molecular Cloning: A Laboratory Manual; p. 545. [Google Scholar]
  • 9.Sazonova M.A., Postnov A.I., Orekhov A.N., Sobenin I.A. A new method of quantitative estimation of mutant allele in mitochondrial genome. Patol. Fiziol. Eksp. Ter. 2011;4:81–84. [PubMed] [Google Scholar]

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