Commentary: Atherosclerosis, Analysis of the eNOS (T786C) Gene Polymorphism

Kleber Santiago Freitas e Silva*

Biological Sciences Institute, Federal University of Goiás, Brazil


Atherosclerosis is a common cardiovascular disease responsible for high rate of patient mortality (around 17 million deaths worldwide)1. The disease leads to a progressive narrowing of arteries through atheromatous plaques and a reduction of oxygen flow to several tissues. Atherosclerosis is affected by many risk factors and the most important ones are feeding behavior2 and other environmental factors, such as smoking3, along with a genetic predisposition and family history4.

Following the complete sequencing of the human genome, the large amount of information and the development of high-throughput technologies have shed some light on new diagnostic and treatment approaches for human diseases5. Such approaches have been applied in order to get better understanding of complex disorders featuring a genetic history6. Atherosclerosis patients show a very complex genetic trait. Innumerous genes are related to the disease and they regulate several biological processes including macromolecules metabolism, such as cholesterol, detoxification of xenobiotics, endothelial function, healing and coagulation.

Recently, single nucleotide polymorphisms (SNPs) have been targeted as a form of genomic variation that could increase the understanding of human diseases, such as atherosclerosis and other cardiovascular diseases, and their influence on susceptibility and better prognostic through modulation of proteins coded by related genes7. Barbosa et al. (2017) assessed 297 atherosclerotic patients regarding the T786C polymorphism of the eNOS gene. This polymorphism promotes a substitution of the nitrogenous base thymine for cytosine and reduces the activity of the eNOS gene.

Barbosa’s approach showed that the TC genotype was prevalent in the population under study and the authors tested the influence of the polymorphism in patients with active risk factors related to oxidative stress8.

Although a positive correlation between T786C polymorphism and atherosclerosis was found, the small sample size may not be representative and may have affected the results since it was performed on a limited number of patients. An alternative would be increasing the size of the samples considerably and analyze if the results will follow the pattern observed in the present study. Another alternative would be to invest on meta analysis and gather information published elsewhere in order to increase the sample size and obtain trustworthy results9–12.

The conclusion of the authors lays on the fact that the presence of multiple risk factors increased the deleterious effects of the C allele, resultant of the point mutation in the position 786 within the eNOS gene. A way to improve the statistical analysis of the present paper would be to apply a linear mixed model, for example, instead of using very simple statistical approach that could make their conclusions biased. An interesting way that could enrich the results and should be thought as a continuation of the research is the use of bioinformatics. What are the effects of the T786C polymorphism on the protein coded by the eNOS gene? Is the active conformational structure of the wild type somewhat different from the protein produced in cells carrying the mutation? In these cases, a simulation of the conformational structure of the mutated protein could be performed and compared to the wild type.

Recently, several studies on peptides have shown that these molecules are able to modulate protein function. Bioinformatic tools are been used to design rational peptides that could modulate and interfere with protein function, optimizing or inhibiting them13. Besides that, peptides designed in silico and tested could be employed as a future promisor drug against atherosclerosis and other cardiovascular diseases7,14.

Overall, the results presented by Barbosa et al. follows a pattern seen elsewhere, such as a higher prevalence of the TC genotype15–17 and that the presence of cardiovascular risk factors increase the risk of atherosclerosis associated with the C allele frequency15,18. The T786C polymorphism is related to susceptibility to atherosclerosis and other diseases in several types of population19–21. Their results lead to new possibilities and investigation of polymorphism and atherosclerosis susceptibility, which could in the future lead to easier diagnostic and prognostic aspects.

  1. Zamani P, Jacobs DR Jr, Segers P, et al. Reflection Magnitude as a Predictor of Mortality: The Multi-Ethnic Study of Atherosclerosis. Hypertension. 2014; 64 (5): 958–964. https://doi.org/10.1161/HYPERTENSIONAHA.114.03855.
  2. Pan X, Jiang XC, Hussain MM. Impaired Cholesterol Metabolism and Enhanced Atherosclerosis in Clock Mutant Mice. Circulation. 2013; 128 (16): 1758–1769. https://doi.org/10.1161/CIRCULATIONAHA.113.002885.
  3. McEvoy JW, Blaha MJ, DeFilippis AP, et al. Cigarette Smoking and Cardiovascular Events: Role of Inflammation and Subclinical Atherosclerosis from the MultiEthnic Study of Atherosclerosis. Arterioscler Thromb Vasc Biol. 2015; 35 (3): 700–709. https://doi.org/10.1161/ATVBAHA.114.304562.
  4. Ye Z, Bailey KR, Austin E, et al. Family History of Atherosclerotic Vascular Disease Is Associated with the Presence of Abdominal Aortic Aneurysm. Vasc Med. 2016; 21 (1): 41–46. https://doi.org/10.1177/1358863X15611758.
  5. Döring Y, Noels H, Weber C. The Use of High-Throughput Technologies to Investigate Vascular Inflammation and Atherosclerosis. Arterioscler Thromb Vasc Biol. 2012; 32 (2): 182–195. https://doi.org/10.1161/ATVBAHA.111.232686.
  6. Brewer HR, Jones ME, Schoemaker MJ, et al. Family History and Risk of Breast Cancer: An Analysis Accounting for Family Structure. Breast Cancer Res Treat. 2017; 165 (1): 193–200. https://doi.org/10.1007/s10549-017-4325-2.
  7. Tannous I, Santos T, de Curcio J, et al. Involvement of Protein-Protein Interactions of ENOS and Genetic Polymorphisms in Coronary Artery Disease. Int J Clin Cardiol Res. 02 (03): 067–071.
  8. Barbosa AM, Silva KSF, Lagares MH, et al. Atherosclerosis: Analysis of the ENOS (T786C) Gene Polymorphism. Genet Mol Res. 2017; 16 (3). https://doi.org/10.4238/gmr16039708.
  9. Cohn LD, Becker BJ. How Meta-Analysis Increases Statistical Power. Psychol Methods. 2003; 8 (3): 243–253. https://doi.org/10.1037/1082-989X.8.3.243.
  10. Au A, Griffiths LR, Irene L, et al. The Impact of APOA5, APOB, APOC3 and ABCA1 Gene Polymorphisms on Ischemic Stroke: Evidence from a Meta-Analysis. Atherosclerosis. 2017; 265: 60–70. https://doi.org/10.1016/j.atherosclerosis.2017.08.003.
  11. Zhu H, Xue H, Wang H, et al. The Association of Apolipoprotein E (APOE) Gene Polymorphisms with Atherosclerosis Susceptibility: A Meta-Analysis. Minerva Cardioangiol. 2016; 64 (1): 47–54.
  12. Xie X, Shi, X, Liu M. The Roles of TLR Gene Polymorphisms in Atherosclerosis: A Systematic Review and Meta-Analysis of 35,317 Subjects. Scand J Immunol. 2017; 86 (1): 50–58. https://doi.org/10.1111/sji.12560.
  13. Han X, He G. Toward a Rational Design to Regulate β-Amyloid Fibrillation for Alzheimer’s Disease Treatment. ACS Chem Neurosci. 2018; 9 (2): 198–210. https://doi.org/10.1021/acschemneuro.7b00477.
  14. Leng W, Ouyang X, Lei X, et al. The SGLT-2 Inhibitor Dapagliflozin Has a Therapeutic Effect on Atherosclerosis in Diabetic ApoE-/- Mice. Mediators Inflamm. 2016; 2016: 6305735. https://doi.org/10.1155/2016/6305735.
  15. Agema WR, de Maat MP, Zwinderman AH, et al. An Integrated Evaluation of Endothelial Constitutive Nitric Oxide Synthase Polymorphisms and Coronary Artery Disease in Men. Clin Sci. 2004; 107 (3): 255–261. https://doi.org/10.1042/CS20030360.
  16. Ragia G, Nikolaidis E, Tavridou A, et al. Endothelial Nitric Oxide Synthase Gene Polymorphisms -786T >C and 894G >T in Coronary Artery Bypass Graft Surgery Patients. Hum Genomics. 2010; 4 (6): 375–383. https://doi.org/10.1186/1479-7364-4-6-375.
  17. Ghilardi G, Biondi ML, DeMonti M, et al. Independent Risk Factor for Moderate to Severe Internal Carotid Artery Stenosis: T786C Mutation of the Endothelial Nitric Oxide Synthase Gene. Clin Chem. 2002; 48 (7): 989–993.
  18. Alp E, Menevse S, Tulmac M, et al. Lack of Association between Matrix Metalloproteinase-9 and Endothelial Nitric Oxide Synthase Gene Polymorphisms and Coronary Artery Disease in Turkish Population. DNA Cell Biol. 2009; 28 (7): 343–350. https://doi.org/10.1089/dna.2009.0866.
  19. Konsola T, Siasos G, Antonopoulos AS, et al. The Impact of T786C and G894T Polymorphisms of ENOS on Vascular Endothelial Growth Factor Serum Levels in Type 2 Diabetes Patients. Int J Cardiol. 2016; 222: 155–156. https://doi.org/10.1016/j.ijcard.2016.07.238.
  20. Armenis I, Kalotychou V, Tzanetea R, et al. Prognostic Value of T786C and G894T ENOS Polymorphisms in Sickle Cell Disease. Nitric Oxide. 2017; 62: 17–23. https://doi.org/10.1016/j.niox.2016.11.002.
  21. Chang J, Pan F, Tang Q, et al. ENOS Gene T786C, G894T and 4a4b Polymorphisms and Male Infertility Susceptibility: A Meta-Analysis. Andrologia. 2017; 49 (4). https://doi.org/10.1111/and.12646.
 

Article Info

Article Notes

  • Published on: February 16, 2019

Keywords

  • Atherosclerosis

  • Polymorphism

*Correspondence:

Dr. Kleber Santiago Freitas e Silva
Biological Sciences Institute, Federal University of Goiás, 74710-310, Goiânia, Goiás, Brazil; Tel/Fax: 5562 9 9924 5983
Email: smallbinho@hotmail.com.