Interaction between BDNF val66met polymorphism and personality on long-term cardiac outcomes in patients with acute coronary syndrome
Autoři:
Jae-Min Kim aff001; Robert Stewart aff002; Seon-Young Kim aff001; Ju-Wan Kim aff001; Hee-Ju Kang aff001; Ju-Yeon Lee aff001; Sung-Wan Kim aff001; Il-Seon Shin aff001; Min Chul Kim aff003; Young Joon Hong aff003; Youngkeun Ahn aff003; Myung Ho Jeong aff003; Jin-Sang Yoon aff001
Působiště autorů:
Departments of Psychiatry, Chonnam National University Medical School, Gwangju, Korea
aff001; King’s College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom, and South London and Maudsley NHS Foundation Trust, London, United Kingdom
aff002; Department of Cardiology, Chonnam National University Medical School, Gwangju, Korea
aff003
Vyšlo v časopise:
PLoS ONE 14(12)
Kategorie:
Research Article
prolekare.web.journal.doi_sk:
https://doi.org/10.1371/journal.pone.0226802
Souhrn
Background
The prognostic role of BDNF val66met polymorphism on long-term cardiac outcomes in acute coronary syndrome (ACS) has been unclear. Environmental factors may modify the association, but these have not been investigated to date. This study aimed to investigate the potential interactive effects of BDNF val66met polymorphism and personality traits, one of the main environmental prognostic factors of ACS, on major adverse cardiac events (MACEs) in patients with ACS.
Methods
A total of 611 patients with recent ACS were recruited at a university hospital in Korea. Baseline evaluations from 2007 to 2012 assessed BDNF val66met polymorphism and personality using the Big Five Inventory, which yielded two personality clusters (resilient and vulnerable) and five dimensions (extraversion, agreeableness, conscientiousness, neuroticism, and openness). Over a 5~12 year follow-up after the index ACS, times to MACE were investigated using Cox regression models after adjustment for a range of covariates.
Results
The BDNF val66met polymorphism modified the associations between vulnerable personality type and worse long-term cardiac outcomes in ACS patients with significant interaction terms, in that the associations were statistically significant in the presence met allele. Similar findings were observed for the individual personality dimensions of agreeableness and neuroticism.
Conclusions
Gene (BDNF val66met polymorphism) x environment (personality traits) interactions on long-term cardiac outcomes were found in ACS.
Klíčová slova:
Patients – Depression – Myocardial infarction – Prognosis – Variant genotypes – Personality – Personality traits – Personality tests
Zdroje
1. Roth GA, Johnson C, Abajobir A, Abd-Allah F, Abera SF, Abyu G, et al. Global, Regional, and National Burden of Cardiovascular Diseases for 10 Causes, 1990 to 2015. J Am Coll Cardiol. 2017;70:1–25. doi: 10.1016/j.jacc.2017.04.052 28527533
2. Eggers KM, Lindahl B. Prognostic Biomarkers in Acute Coronary Syndromes: Risk Stratification Beyond Cardiac Troponins. Curr Cardiol Rep. 2017;19:29. doi: 10.1007/s11886-017-0840-3 28315120
3. Frasure-Smith N, Lespérance F. Depression and anxiety as predictors of 2-year cardiac events in patients with stable coronary artery disease. Arch Gen Psychiatry. 2008;65:62–71. doi: 10.1001/archgenpsychiatry.2007.4 18180430
4. Hunter DJ. Gene-environment interactions in human diseases. Nat Rev Genet. 2005;6:287–298. doi: 10.1038/nrg1578 15803198
5. Lee YC, Lai CQ, Ordovas JM, Parnell LD. A Database of Gene-Environment Interactions Pertaining to Blood Lipid Traits, Cardiovascular Disease and Type 2 Diabetes, J Data Mining Genomics Proteomics. 2011;2
6. Kim JM, Stewart R, Kang HJ, Bae KY, Kim SW, Shin IS. Depression following Acute Coronary Syndrome: Time-Specific Interactions between Stressful Life Events, Social Support Deficits, and 5-HTTLPR. Psychother Psychosom. 2017;86:62–64. doi: 10.1159/000449469 27884002
7. Kim JM, Stewart R, Lee YS, Lee HJ, Kim MC, Kim JW. Effect of Escitalopram vs Placebo Treatment for Depression on Long-term Cardiac Outcomes in Patients with Acute Coronary Syndrome: the DEPACS Randomized Clinical Trial, JAMA. 2018;320:350–358. doi: 10.1001/jama.2018.9422 30043065
8. Kim JM, Stewart R, Kim JW, Kang HJ, Bae KY, Kim SW. Serotonin transporter gene association between anxiety and long-term cardiac outcomes in acute coronary syndrome. J Am Coll Cardiol. 2018;71:2706–2707. doi: 10.1016/j.jacc.2018.04.006 29880133
9. Kermani P, Hempstead B. Brain-derived neurotrophic factor: a newly described mediator of angiogenesis. Trends Cardiovasc Med. 2007;17:140–143. doi: 10.1016/j.tcm.2007.03.002 17482097
10. Erasmus RT. The brain and heart: dancing in unison? Clin Chim Acta. 2009;400:1–2. doi: 10.1016/j.cca.2008.10.024 19013442
11. Egan MF1, Kojima M, Callicott JH, Goldberg TE, Kolachana BS, Bertolino A, et al. The BDNF val66met polymorphism affects activity-dependent secretion of BDNF and human memory and hippocampal function. Cell. 2003;112:257–269. doi: 10.1016/s0092-8674(03)00035-7 12553913
12. Amadio P, Colombo GI, Tarantino E, Gianellini S, Ieraci A, Brioschi M, et al. BDNFVal66met polymorphism: a potential bridge between depression and thrombosis. Eur Heart J. 2017;38:1426–1435. doi: 10.1093/eurheartj/ehv655 26705390
13. Stahelova A, Petrkova J, Motakova N, Taborsky M, Mrazek F, Petrek M. The BDNF Val66Met polymorphism is not associated with myocardial infarction in Czech patients. Cytokine. 2011;53:13–14. doi: 10.1016/j.cyto.2010.08.007 20846878
14. Jiang H, Wang R, Liu Y, Zhang Y, Chen ZY. BDNF Val66Met polymorphism is associated with unstable angina. Clin Chim Acta. 2009;400:3–7. doi: 10.1016/j.cca.2008.10.017 19013140
15. Jiang R, Babyak MA, Brummett BH, Hauser ER, Shah SH, Becker RC, et al. Brain-derived neurotrophic factor rs6265 (Val66Met) polymorphism is associated with disease severity and incidence of cardiovascular events in a patient cohort. Am Heart J. 2017;190:40–45. doi: 10.1016/j.ahj.2017.05.002 28760212
16. Hünnerkopf R, Strobel A, Gutknecht L, Brocke B, Lesch KP. Interaction between BDNF Val66Met and dopamine transporter gene variation influences anxiety-related traits. Neuropsychopharmacology. 2007;32:2552–2560. doi: 10.1038/sj.npp.1301383 17392738
17. Kazantseva A, Gaysina D, Kutlumbetova Y, Kanzafarova R, Malykh S, et al. Lobaskova M Brain derived neurotrophic factor gene (BDNF) and personality traits: the modifying effect of season of birth and sex. Prog Neuropsychopharmacol Biol Psychiatry. 2015;56:58–65. doi: 10.1016/j.pnpbp.2014.08.001 25132151
18. Terracciano A, Tanaka T, Sutin AR, Deiana B, Balaci L, Sanna S, et al. BDNF Val66Met is associated with introversion and interacts with 5-HTTLPR to influence neuroticism, Neuropsychopharmacology. 2010;35:1083–1089. doi: 10.1038/npp.2009.213 20042999
19. Denollet J, Vaes J, Brutsaert DL. Inadequate response to treatment in coronary heart disease: adverse effects of type D personality and younger age on 5-year prognosis and quality of life. Circulation. 2000;102:630–635. doi: 10.1161/01.cir.102.6.630 10931802
20. Pedersen SS, Lemos PA, van Vooren PR, Liu TK, Daemen J, Erdman RA, et al. Type D personality predicts death or myocardial infarction after bare metal stent or sirolimus-eluting stent implantation—A Rapamycin-Eluting Stent Evaluated at Rotterdam Cardiology Hospital (RESEARCH) registry substudy. J Am Coll Cardiol. 2004 Sep 1;44:997–1001. doi: 10.1016/j.jacc.2004.05.064 15337209
21. McCrae RR. 5 years of progress: A reply to Block, J. Resear. Person. 2001;35:108–13.
22. Lee KH, Jeong MH, Kim HM, Ahn Y, Kim JH, Chae SC. Benefit of early statin therapy in patients with acute myocardial infarction who have extremely low low-density lipoprotein cholesterol. J Am Coll Cardiol. 2011;58:1664–1671 doi: 10.1016/j.jacc.2011.05.057 21982310
23. Jaffe AS, Krumholz HM, Catellier DJ, Freedland KE, Bittner V, Blumenthal JA, et al. Prediction of medical morbidity and mortality after acute myocardial infarction in patients at increased psychosocial risk in the Enhancing Recovery in Coronary Heart Disease Patients (ENRICHD) study. Am Heart J. 2006;152:126–135. doi: 10.1016/j.ahj.2005.10.004 16824842
24. Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J. An inventory for measuring for depression. Arch Gen Psychiatry. 1961;4:561–571. doi: 10.1001/archpsyc.1961.01710120031004 13688369
25. Sheehan DV, Lecrubier Y, Sheehan KH, Amorim P, Janavs J, Weiller E, et al. The Mini-International Neuropsychiatric Interview (MINI): the development and validation of a structured diagnostic psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry. 1998;59 Suppl 20:22–33;quiz 34–57.
26. Killip T 3rd, Kimball JT. Treatment of myocardial infarction in a coronary care unit. A two year experience with 250 patients. Am J Cardiol. 1967;20:457–464. doi: 10.1016/0002-9149(67)90023-9 6059183
27. John OP, Srivastata S. The Big Five Trait taxonomy: history, measurement, and theoretical perspertives, in: Pervin L.A., John O.P (Eds), Handbook of Personality. 2nd ed. The Guilford Press, New York. 1999; pp. 102–138.
28. Kim SY, Kim JM, Yoo JA, Bae KY, Kim SW, Yang SJ, et al. Standarization and validation of Big Five Inventory-Korean Version (BFI-K) in elders. Korean J of Biological Psychiatry. 2010; 17, 15–25.
29. Costa PT, Herbst JH, McCrae RR, Samuels J, Ozer DJ. The replicability and utility of three personality types. Eur J Pers. 2002;16:S73–S87.
30. Asendorpf JB. The puzzle of personality types. Eur J Pers. 2002;16:S1–S5.
31. Asendorpf JB, Borkenau P, Ostendorf F. Carving personality description at its joints: Confirmation of three replicable personality prototypes for both children and adults. Eur J Pers. 2001; 15:169–98.
32. Wardenaar KJ, Conradi HJ, Bos EH, de Jonge P. Personality modulates the efficacy of treatment in patients with major depressive disorder. J Clin Psychiatry. 2014;75:e916–23. doi: 10.4088/JCP.13m08855 25295434
33. De Fruyt F A Person-Centered Approach to P–E Fit Questions Using a Multiple-Trait Model. J Vocat Behav. 2002; 60:73–90.
34. Kaufman J, Yang BZ, Douglas-Palumberi H, Grasso D, Lipschitz D, Houshyar S, et al. Brain-derived neurotrophic factor-5-HTTLPR gene interactions and environmental modifiers of depression in children. Biol Psychiatry. 2006;59:673–680. doi: 10.1016/j.biopsych.2005.10.026 16458264
35. Kim JM, Stewart R, Kim SW, Yang SJ, Shin IS, Kim YH, et al. Interactions between life stressors and susceptibility genes (5-HTTLPR and BDNF) on depression in Korean elders. Biol Psychiatry. 2007;62:423–428. doi: 10.1016/j.biopsych.2006.11.020 17482146
36. Kim JM, Stewart R, Park MS, Kang HJ, Kim SW, Shin IS, et al. Associations of BDNF genotype and promoter methylation with acute and long-term stroke outcomes in an East Asian cohort. PLoS One. 2012;7:e51280. doi: 10.1371/journal.pone.0051280 23240009
37. Kim JM, Kim SW, Stewart R, Kim SY, Shin IS, Park MH, et al. Serotonergic and BDNF genes associated with depression 1 week and 1 year after mastectomy for breast cancer. Psychosom Med. 2012;74:8–15 doi: 10.1097/PSY.0b013e318241530c 22210241
38. Kunugi H, Iijima Y, Tatsumi M, Yoshida M, Hashimoto R, Kato T, et al. No association between the Val66Met polymorphism of the brain-derived neurotrophic factor gene and bipolar disorder in a Japanese population: a multicenter study. Biol Psychiatry. 2004;56:376–378. doi: 10.1016/j.biopsych.2004.06.017 15336520
39. Denollet J. DS14: standard assessment of negative affectivity, social inhibition, and Type D personality. Psychosom Med. 2005;67:89–97. doi: 10.1097/01.psy.0000149256.81953.49 15673629
40. A Sutin AR, Costa PT Jr, Uda M, Ferrucci L, Schlessinger D, Terracciano A. Personality and metabolic syndrome. Age (Dordr). 2010;32:513–519.
41. Jokela M, Pulkki-Råback L, Elovainio M, Kivimäki M. Personality traits as risk factors for stroke and coronary heart disease mortality: pooled analysis of three cohort studies, J Behav Med. 2014;37:881–889. doi: 10.1007/s10865-013-9548-z 24203126
42. Jokela M, Batty GD, Hintsa T, Elovainio M, Hakulinen C, Kivimäki M. Is personality associated with cancer incidence and mortality? An individual-participant meta-analysis of 2156 incident cancer cases among 42,843 men and women. Br J Cancer. 2014;110:1820–1824. doi: 10.1038/bjc.2014.58 24504367
43. Denollet J. Type D personality. A potential risk factor refined. J Psychosom Res. 2000; 49:255–266. doi: 10.1016/s0022-3999(00)00177-x 11119782
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