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Probing the epigenetic signatures in subjects with coronary artery disease

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Abstract

Depletion of S-adenosyl methionine and 5-methyltetrahydrofolate; and elevation of total plasma homocysteine were documented in CAD patients, which might modulate the gene-specific methylation status and alter their expression. In this study, we have aimed to delineate CAD-specific epigenetic signatures by investigating the methylation and expression of 11 candidate genes i.e. ABCG1, LIPC, PLTP, IL-6, TNF-α, CDKN2A, CDKN2B, F2RL3, FGF2, P66 and TGFBR3. The methylation-specific PCR and qRT-PCR were used to assess the methylation status and the expression of candidate genes, respectively. CAD patients showed the upregulation of IL-6, TNF-α, CDKN2A, CDKN2B, F2RL3, FGF2, P66, and TGFBR3. Hypomethylation of CDKN2A loci was shown to increase risk for CAD by 1.79-folds (95% CI 1.22–2.63). Classification and regression tree (CART) model of gene expression showed increased risk for CAD with F2RL3 > 3.4-fold, while demonstrating risk reduction with F2RL3 < 3.4-fold and IL-6 < 7.7-folds. This CAD prediction model showed the excellent sensitivity (0.98, 95% CI 0.88–1.00), specificity (0.91, 95% CI 0.86–0.92), positive predictive value (0.82, 95% CI 0.75–0.84), and negative predictive value (0.99, 95% CI 0.94–1.00) with an overall accuracy of 92.8% (95% CI 87.0–94.1%). Folate and B12 deficiencies were observed in CAD cases, which were shown to contribute to hypomethylation and upregulation of the prime candidate genes i.e. CDKN2A and F2RL3. Early onset diabetes was associated with IL-6 and TNF-α hypomethylation and upregulation of CDKN2A. The expression of F2RL3 and IL-6 (or) hypomethylation status at CDKN2A locus are potential biomarkers in CAD risk prediction. Early epigenetic imprints of CAD were observed in early onset diabetes. Folate and B12 deficiencies are the contributing factors to these changes in CAD-specific epigenetic signatures.

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References

  1. Almontashiri NAM (2017) The 9p21.3 risk locus for coronary artery disease: a 10-year search for its mechanism. J Taibah Univ Med Sci 12(3):199–204

    PubMed  PubMed Central  Google Scholar 

  2. Anderson DR, Poterucha JT, Mikuls TR, Duryee MJ, Garvin RP, Klassen LW, Shurmur SW, Thiele GM (2013) IL-6 and its receptors in coronary artery disease and acute myocardial infarction. Cytokine 62(3):395–400

    Article  CAS  Google Scholar 

  3. Andreassi MG, Barale R, Iozzo P, Picano E (2011) The association of micronucleus frequency with obesity, diabetes and cardiovascular disease. Mutagenesis 26(1):77–83

    Article  CAS  Google Scholar 

  4. Baccarelli A, Rienstra M, Benjamin EJ (2010) Cardiovascular epigenetics: basic concepts and results from animal and human studies. Circ Cardiovasc Genet 3:567–573

    Article  CAS  Google Scholar 

  5. Barringhaus KG, Zamore PD (2009) MicroRNAs: regulating a change of heart. Circulation 119:2217–2224

    Article  Google Scholar 

  6. Cai C, Zhu H, Ning X, Li L, Yang B, Chen S, Wang L, Lu X, Gu D (2019) LncRNA ENST00000602558.1 regulates ABCG1 expression and cholesterol efflux from vascular smooth muscle cells through a p65-dependent pathway. Atherosclerosis 285:31–39

    Article  CAS  Google Scholar 

  7. Dadmanesh M, Aghajani H, Fadaei R, Ghorban K (2018) Lower serum levels of Meteorin-like/Subfatin in patients with coronary artery disease and type 2 diabetes mellitus are negatively associated with insulin resistance and inflammatory cytokines. PLoS ONE 13(9):e0204180

    Article  Google Scholar 

  8. Fish JE, Matouk CC, Rachlis A, Lin S, Tai SC, D’Abreo C, Marsden PA (2005) The expression of endothelial nitric-oxide synthase is controlled by a cell-specific histone code. J Biol Chem 280(26):24824–24838

    Article  CAS  Google Scholar 

  9. Gao BF, Shen ZC, Bian WS, Wu SX, Kang ZX, Gao Y (2018) Correlation of hypertension and F2RL3 gene methylation with prognosis of coronary heart disease. J Biol Regul Homeost Agents 32(6):1539–1544

    CAS  PubMed  Google Scholar 

  10. Ghose S, Ghosh S, Tanwar VS, Tolani P, Kutum R, Sharma A, Bhardwaj N, Shamsudheen KV, Verma A, Jayarajan R, Dash D, Sivasubbu S, Scaria V, Seth S, Sengupta S (2019) Investigating coronary artery disease methylome through targeted bisulfite sequencing. Gene 721:144107

    Article  CAS  Google Scholar 

  11. Guardiola M, Vallve JC, Zaina S, Ribalta J (2016) Epigenetics in atherosclerosis. Clin Investig Arterioscler 28(2):102–119

    PubMed  Google Scholar 

  12. Guay SP, Brisson D, Lamarche B, Gaudet D, Bouchard L (2014) Epipolymorphisms within lipoprotein genes contribute independently to plasma lipid levels in familial hypercholesterolemia. Epigenetics 9(5):718–729

    Article  CAS  Google Scholar 

  13. Gupta R, Mohan I, Narula J (2016) Trends in coronary heart disease epidemiology in India. Ann Glob Health 82(2):307–315

    Article  Google Scholar 

  14. Hossain MB, Li H, Hedmer M, Tinnerberg H, Albin M, Broberg K (2015) Exposure to welding fumes is associated with hypomethylation of the F2RL3 gene: a cardiovascular disease marker. Occup Environ Med 72(12):845–851

    Article  Google Scholar 

  15. Hu Y, Hu J (2019) Diagnostic value of circulating lncRNA ANRIL and its correlation with coronary artery disease parameters. Braz J Med Biol Res 52(8):e8309

    Article  Google Scholar 

  16. Kim CS, Kim YR, Naqvi A, Kumar S, Hoffman TA, Jung SB, Kumar A, Jeon BH, McNamara DM (2011) Homocysteine promotes human endothelial cell dysfunction via site-specific epigenetic regulation of p66shc. Cardiovasc Res 92:466–475

    Article  CAS  Google Scholar 

  17. Lempiainen H, Braenne I, Michoel T, Tragante V, Vilne B, Webb TR (2018) Network analysis of coronary artery disease risk genes elucidates disease mechanisms and druggable targets. Sci Rep 8:3434

    Article  Google Scholar 

  18. Li L, Wang L, Li H, Han X, Chen S, Yang B, Hu Z, Zhu H, Cai C, Chen J, Li X, Huang J, Gu D (2018) Characterization of LncRNA expression profile and identification of novel LncRNA biomarkers to diagnose coronary artery disease. Atherosclerosis 275:359–367

    Article  CAS  Google Scholar 

  19. Loehrer FM, Angst CP, Haefeli WE, Jordan PP, Ritz R, Fowler B (1996) Low whole-blood S-adenosylmethionine and correlation between 5-methyltetrahydrofolate and homocysteine in coronary artery disease. Arterioscler Thromb Vasc Biol 16(6):727–733

    Article  CAS  Google Scholar 

  20. Mahalle N, Kulkarni MV, Garg MK, Naik SS (2013) Vitamin B12 deficiency and hyperhomocysteinemia as correlates of cardiovascular risk factors in Indian subjects with coronary artery disease. J Cardiol 61(4):289–294

    Article  Google Scholar 

  21. Muka T, Koromani F, Portilla E, O’Connor A, Bramer WM, Troup J, Chowdhury R, Dehghan A, Franco OH (2016) The role of epigenetic modifications in cardiovascular disease: a systematic review. Int J Cardiol 212:174–183

    Article  Google Scholar 

  22. Naushad SM, Hussain T, Indumathi B, Samreen K, Alrokayan SA, Kutala VK (2018) Machine learning algorithm-based risk prediction model of coronary artery disease. Mol Biol Rep 45(5):901–910

    Article  CAS  Google Scholar 

  23. Noda Y, Yamagishi S, Matsui T, Ueda S, Ueda S, Jinnouchi Y, Hirai Y, Imaizumi T (2010) The p66shc gene expression in peripheral blood monocytes is increased in patients with coronary artery disease. Clin Cardiol 33(9):548–552

    Article  Google Scholar 

  24. Pons D, de Vries FR, van den Elsen PJ, Heijmans BT, Quax PH, Jukema JW (2009) Epigenetic histone acetylation modifiers in vascular remodelling: new targets for therapy in cardiovascular disease. Eur Heart J 30:266–277

    Article  CAS  Google Scholar 

  25. Reik W (2007) Stability and flexibility of epigenetic gene regulation in mammalian development. Nature 447(7143):425–432

    Article  CAS  Google Scholar 

  26. Schulz S, Köhler K, Schagdarsurengin U, Greiser P, Birkenmeier G, Müller-Werdan U, Werdan K, Gläser C (2005) The human FGF2 level is influenced by genetic predisposition. Int J Cardiol 101(2):265–271

    Article  Google Scholar 

  27. Sharma P, Kumar J, Garg G, Kumar A, Patowary A, Karthikeyan G, Ramakrishnan L, Brahmachari V, Sengupta S (2008) Detection of altered global DNA methylation in coronary artery disease patients. DNA Cell Biol 27(7):357–365

    Article  CAS  Google Scholar 

  28. Sharma P, Garg G, Kumar A, Mohammad F, Kumar SR, Tanwar VS, Sati S, Sharma A, Karthikeyan G, Brahmachari V, Sengupta S (2014) Genome wide DNA methylation profiling for epigenetic alteration in coronary artery disease patients. Gene 541(1):31–40

    Article  CAS  Google Scholar 

  29. Silvestri P, Di Russo C, Rigattieri S, Fedele S, Todaro D, Ferraiuolo G, Altamura G, Loschiavo P (2009) MicroRNAs and ischemic heart disease: towards a better comprehension of pathogenesis, new diagnostic tools and new therapeutic targets. Recent Pat Cardiovasc Drug Discov 4:109–118

    Article  CAS  Google Scholar 

  30. Smith ZD, Meissner A (2013) DNA methylation: roles in mammalian development. Nat Rev Genet 14:204–220

    Article  CAS  Google Scholar 

  31. Tsai PC, Glastonbury CA, Eliot MN, Bollepalli S, Yet I, Castillo-Fernandez JE, Carnero-Montoro E, Hardiman T, Martin TC, Vickers A, Mangino M, Ward K, Pietiläinen KH, Deloukas P, Spector TD, Viñuela A, Loucks EB, Ollikainen M, Kelsey KT, Small KS, Bell JT (2018) Smoking induces coordinated DNA methylation and gene expression changes in adipose tissue with consequences for metabolic health. Clin Epigenet 10(1):126

    Article  CAS  Google Scholar 

  32. Van Diepen JA, Thiem K, Stienstra R, Riksen NP, Tack CJ, Netea MG (2016) Diabetes propels the risk for cardiovascular disease: sweet monocytes becoming aggressive? Cell Mol Life Sci 73(24):4675–4684

    Article  Google Scholar 

  33. Zhong J, Chen X, Ye H, Wu N, Chen X, Duan S (2017) CDKN2A and CDKN2B methylation in coronary heart disease cases and controls. Exp Ther Med 14(6):6093–6098

    CAS  PubMed  PubMed Central  Google Scholar 

  34. Zhuang J, Peng W, Li H, Wang W, Wei Y, Li W, Xu Y (2012) Methylation of p15INK4b and expression of ANRIL on chromosome 9p21 are associated with coronary artery disease. PLoS ONE 7(10):e47193

    Article  CAS  Google Scholar 

  35. Zuo HP, Guo YY, Che L, Wu XZ (2016) Hypomethylation of interleukin-6 promoter is associated with the risk of coronary heart disease. Arq Bras Cardiol 107:131–136

    CAS  PubMed  PubMed Central  Google Scholar 

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Funding

Bobbala Indumathi has received the Research Fellowship (Senior Research Fellow) from the Indian Council of Medical Research (ICMR), Government of India, New Delhi.

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Correspondence to Vijay Kumar Kutala.

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BI has received Fellowship from Indian Council of Medical Research, Government of India, New Delhi. The other authors SSO, SMN, VKK declare no conflict of interest.

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All procedures performed in studies involving human participants were in accordance with the ethical standards of the Institutional Research Committee of Nizam’s Institute of Medical Sciences, Hyderabad, India and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Institutional Ethics Committee has approved the study (Approval Number EC/NIMS/1578/2015). Informed consent was obtained from all the study participants.

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Indumathi, B., Oruganti, S.S., Naushad, S.M. et al. Probing the epigenetic signatures in subjects with coronary artery disease. Mol Biol Rep 47, 6693–6703 (2020). https://doi.org/10.1007/s11033-020-05723-w

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  • DOI: https://doi.org/10.1007/s11033-020-05723-w

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