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Family history of myocardial infarction as a strong independent predictor of in-stent restenosis in the era of drug eluting stents.

International journal of cardiology

Liu Y, Xu C, Fu P, Chen J, Cao Q, Yang T, Niu T.
PMID: 25464411
Int J Cardiol. 2015 Jan 20;179:55-7. doi: 10.1016/j.ijcard.2014.10.082. Epub 2014 Oct 24.

No abstract available.

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Liu Y, Xu C, Fu P, et al. Family history of myocardial infarction as a strong independent predictor of in-stent restenosis in the era of drug eluting stents. Int J Cardiol. 2014;179:55-7doi: 10.1016/j.ijcard.2014.10.082.
Liu, Y., Xu, C., Fu, P., Chen, J., Cao, Q., Yang, T., & Niu, T. (2015). Family history of myocardial infarction as a strong independent predictor of in-stent restenosis in the era of drug eluting stents. International journal of cardiology, 17955-7. https://doi.org/10.1016/j.ijcard.2014.10.082
Liu, Ye, et al. "Family history of myocardial infarction as a strong independent predictor of in-stent restenosis in the era of drug eluting stents." International journal of cardiology vol. 179 (2015): 55-7. doi: https://doi.org/10.1016/j.ijcard.2014.10.082
Liu Y, Xu C, Fu P, Chen J, Cao Q, Yang T, Niu T. Family history of myocardial infarction as a strong independent predictor of in-stent restenosis in the era of drug eluting stents. Int J Cardiol. 2015 Jan 20;179:55-7. doi: 10.1016/j.ijcard.2014.10.082. Epub 2014 Oct 24. PMID: 25464411.
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Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction.

Medical science monitor : international medical journal of experimental and clinical research

Dai W, Sun Y, Jiang Z, Du K, Xia N, Zhong G.
PMID: 32594092
Med Sci Monit. 2020 Jun 28;26:e922492. doi: 10.12659/MSM.922492.

BACKGROUND With the increasing research on non-alcoholic fatty liver (NAFLD) and acute myocardial infarction (AMI), many evidences show a tight correlation between NAFLD and AMI, however the underlying pathophysiology is still not clear. This study was to identify the...

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Dai W, Sun Y, Jiang Z, et al. Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction. Med Sci Monit. 2020;26:e922492doi: 10.12659/MSM.922492.
Dai, W., Sun, Y., Jiang, Z., Du, K., Xia, N., & Zhong, G. (2020). Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction. Medical science monitor : international medical journal of experimental and clinical research, 26e922492. https://doi.org/10.12659/MSM.922492
Dai, Weiran, et al. "Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction." Medical science monitor : international medical journal of experimental and clinical research vol. 26 (2020): e922492. doi: https://doi.org/10.12659/MSM.922492
Dai W, Sun Y, Jiang Z, Du K, Xia N, Zhong G. Key genes associated with non-alcoholic fatty liver disease and acute myocardial infarction. Med Sci Monit. 2020 Jun 28;26:e922492. doi: 10.12659/MSM.922492. PMID: 32594092; PMCID: PMC7341693.
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Transport of microRNAs via exosomes.

Nature reviews. Cardiology

Li Y, Shen Z, Yu XY.
PMID: 25622846
Nat Rev Cardiol. 2015 Apr;12(4):198. doi: 10.1038/nrcardio.2014.207-c1. Epub 2015 Jan 27.

No abstract available.

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Li Y, Shen Z, Yu XY. Transport of microRNAs via exosomes. Nat Rev Cardiol. 2015;12(4):198doi: 10.1038/nrcardio.2014.207-c1.
Li, Y., Shen, Z., & Yu, X. Y. (2015). Transport of microRNAs via exosomes. Nature reviews. Cardiology, 12(4), 198. https://doi.org/10.1038/nrcardio.2014.207-c1
Li, Yangxin, et al. "Transport of microRNAs via exosomes." Nature reviews. Cardiology vol. 12,4 (2015): 198. doi: https://doi.org/10.1038/nrcardio.2014.207-c1
Li Y, Shen Z, Yu XY. Transport of microRNAs via exosomes. Nat Rev Cardiol. 2015 Apr;12(4):198. doi: 10.1038/nrcardio.2014.207-c1. Epub 2015 Jan 27. PMID: 25622846.
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[GISSI 2: Subproject on epidemiologic and genetic aspects of risk factors for myocardial infarction].

Giornale italiano di cardiologia

[No authors listed]
PMID: 3234670
G Ital Cardiol. 1988 Sep;18(9):770-2.

No abstract available.

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GISSI 2. Sottoprogetto aspetti epidemiologici e genetici dei fattori di rischio per infarto miocardico. [GISSI 2: Subproject on epidemiologic and genetic aspects of risk factors for myocardial infarction]. G Ital Cardiol. 1988;18(9):770-2
(1988). GISSI 2. Sottoprogetto aspetti epidemiologici e genetici dei fattori di rischio per infarto miocardico. [GISSI 2: Subproject on epidemiologic and genetic aspects of risk factors for myocardial infarction]. Giornale italiano di cardiologia, 18(9), 770-2.
"GISSI 2. Sottoprogetto aspetti epidemiologici e genetici dei fattori di rischio per infarto miocardico." [GISSI 2: Subproject on epidemiologic and genetic aspects of risk factors for myocardial infarction]. Giornale italiano di cardiologia vol. 18,9 (1988): 770-2.
GISSI 2. Sottoprogetto aspetti epidemiologici e genetici dei fattori di rischio per infarto miocardico. [GISSI 2: Subproject on epidemiologic and genetic aspects of risk factors for myocardial infarction]. G Ital Cardiol. 1988 Sep;18(9):770-2. Italian. PMID: 3234670.
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The sins of the fathers (and mothers) and the 2013 guidelines.

JACC. Cardiovascular imaging

Hecht HS.
PMID: 25034918
JACC Cardiovasc Imaging. 2014 Jul;7(7):687-9. doi: 10.1016/j.jcmg.2014.04.012.

No abstract available.

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Hecht HS. The sins of the fathers (and mothers) and the 2013 guidelines. JACC Cardiovasc Imaging. 2014;7(7):687-9doi: 10.1016/j.jcmg.2014.04.012.
Hecht, H. S. (2014). The sins of the fathers (and mothers) and the 2013 guidelines. JACC. Cardiovascular imaging, 7(7), 687-9. https://doi.org/10.1016/j.jcmg.2014.04.012
Hecht, Harvey S. "The sins of the fathers (and mothers) and the 2013 guidelines." JACC. Cardiovascular imaging vol. 7,7 (2014): 687-9. doi: https://doi.org/10.1016/j.jcmg.2014.04.012
Hecht HS. The sins of the fathers (and mothers) and the 2013 guidelines. JACC Cardiovasc Imaging. 2014 Jul;7(7):687-9. doi: 10.1016/j.jcmg.2014.04.012. PMID: 25034918.
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Chronic kidney disease: the "perfect storm" of cardiometabolic risk illuminates genetic diathesis in cardiovascular disease.

Journal of the American College of Cardiology

Towler DA.
PMID: 23727212
J Am Coll Cardiol. 2013 Aug 27;62(9):799-801. doi: 10.1016/j.jacc.2013.04.063. Epub 2013 May 29.

No abstract available.

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Towler DA. Chronic kidney disease: the "perfect storm" of cardiometabolic risk illuminates genetic diathesis in cardiovascular disease. J Am Coll Cardiol. 2013;62(9):799-801doi: 10.1016/j.jacc.2013.04.063.
Towler, D. A. (2013). Chronic kidney disease: the "perfect storm" of cardiometabolic risk illuminates genetic diathesis in cardiovascular disease. Journal of the American College of Cardiology, 62(9), 799-801. https://doi.org/10.1016/j.jacc.2013.04.063
Towler, Dwight A. "Chronic kidney disease: the "perfect storm" of cardiometabolic risk illuminates genetic diathesis in cardiovascular disease." Journal of the American College of Cardiology vol. 62,9 (2013): 799-801. doi: https://doi.org/10.1016/j.jacc.2013.04.063
Towler DA. Chronic kidney disease: the "perfect storm" of cardiometabolic risk illuminates genetic diathesis in cardiovascular disease. J Am Coll Cardiol. 2013 Aug 27;62(9):799-801. doi: 10.1016/j.jacc.2013.04.063. Epub 2013 May 29. PMID: 23727212; PMCID: PMC3837500.
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Inflammation: RNA interference after myocardial infarction.

Nature reviews. Cardiology

Lim GB.
PMID: 27335211
Nat Rev Cardiol. 2016 Aug;13(8):443. doi: 10.1038/nrcardio.2016.102. Epub 2016 Jun 23.

No abstract available.

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Lim GB. Inflammation: RNA interference after myocardial infarction. Nat Rev Cardiol. 2016;13(8):443doi: 10.1038/nrcardio.2016.102.
Lim, G. B. (2016). Inflammation: RNA interference after myocardial infarction. Nature reviews. Cardiology, 13(8), 443. https://doi.org/10.1038/nrcardio.2016.102
Lim, Gregory B. "Inflammation: RNA interference after myocardial infarction." Nature reviews. Cardiology vol. 13,8 (2016): 443. doi: https://doi.org/10.1038/nrcardio.2016.102
Lim GB. Inflammation: RNA interference after myocardial infarction. Nat Rev Cardiol. 2016 Aug;13(8):443. doi: 10.1038/nrcardio.2016.102. Epub 2016 Jun 23. PMID: 27335211.
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Susceptibility genes for coronary heart disease and myocardial infarction.

Acute cardiac care

Kibos A, Guerchicoff A.
PMID: 21877873
Acute Card Care. 2011 Sep;13(3):136-42. doi: 10.3109/17482941.2011.606477.

Coronary heart disease and its main complication, myocardial infarction is leading cause of death worldwide. Over the past years, much progress has been made in the pharmacotherapy of major risk factors like dyslipidemias, diabetes mellitus and hypertension. The targeting...

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Kibos A, Guerchicoff A. Susceptibility genes for coronary heart disease and myocardial infarction. Acute Card Care. 2011;13(3):136-42doi: 10.3109/17482941.2011.606477.
Kibos, A., & Guerchicoff, A. (2011). Susceptibility genes for coronary heart disease and myocardial infarction. Acute cardiac care, 13(3), 136-42. https://doi.org/10.3109/17482941.2011.606477
Kibos, Ambrose, and Guerchicoff, Alejandra. "Susceptibility genes for coronary heart disease and myocardial infarction." Acute cardiac care vol. 13,3 (2011): 136-42. doi: https://doi.org/10.3109/17482941.2011.606477
Kibos A, Guerchicoff A. Susceptibility genes for coronary heart disease and myocardial infarction. Acute Card Care. 2011 Sep;13(3):136-42. doi: 10.3109/17482941.2011.606477. PMID: 21877873.
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[Genetic Predisposition to Early Myocardial Infarction].

Molekuliarnaia biologiia

Goncharova IA, Nazarenko MS, Babushkina NP, Markov AV, Pecherina TB, Kashtalap VV, Tarasenko NV, Ponasenko AV, Barbarash OL, Puzyrev VP.
PMID: 32392191
Mol Biol (Mosk). 2020 Mar-Apr;54(2):224-232. doi: 10.31857/S0026898420020044.

The aim of the study was to identify the features of the genetic structure of myocardial infarction (MI) susceptibility depending on age ("early MI" denoting individuals who had the first MI before the age of 60 years, and "late...

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Goncharova IA, Nazarenko MS, Babushkina NP, et al. [Genetic Predisposition to Early Myocardial Infarction]. Mol Biol (Mosk). 2020;54(2):224-232doi: 10.31857/S0026898420020044.
Goncharova, I. A., Nazarenko, M. S., Babushkina, N. P., Markov, A. V., Pecherina, T. B., Kashtalap, V. V., Tarasenko, N. V., Ponasenko, A. V., Barbarash, O. L., & Puzyrev, V. P. (2020). [Genetic Predisposition to Early Myocardial Infarction]. Molekuliarnaia biologiia, 54(2), 224-232. https://doi.org/10.31857/S0026898420020044
Goncharova, I A, et al. "[Genetic Predisposition to Early Myocardial Infarction]." Molekuliarnaia biologiia vol. 54,2 (2020): 224-232. doi: https://doi.org/10.31857/S0026898420020044
Goncharova IA, Nazarenko MS, Babushkina NP, Markov AV, Pecherina TB, Kashtalap VV, Tarasenko NV, Ponasenko AV, Barbarash OL, Puzyrev VP. [Genetic Predisposition to Early Myocardial Infarction]. Mol Biol (Mosk). 2020 Mar-Apr;54(2):224-232. doi: 10.31857/S0026898420020044. Russian. PMID: 32392191.
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Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction.

Molecular medicine reports

Fang HZ, Hu DL, Li Q, Tu S.
PMID: 32705275
Mol Med Rep. 2020 Sep;22(3):1775-1782. doi: 10.3892/mmr.2020.11247. Epub 2020 Jun 17.

The present study aimed to identify genes associated with increased risk of myocardial infarction (MI) and construct an early diagnosis model based on support vector machine (SVM) learning. The gene expression profile data of GSE34198, containing 97 human blood...

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Fang HZ, Hu DL, Li Q, et al. Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction. Mol Med Rep. 2020;22(3):1775-1782doi: 10.3892/mmr.2020.11247.
Fang, H. Z., Hu, D. L., Li, Q., & Tu, S. (2020). Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction. Molecular medicine reports, 22(3), 1775-1782. https://doi.org/10.3892/mmr.2020.11247
Fang, Hong-Zhi, et al. "Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction." Molecular medicine reports vol. 22,3 (2020): 1775-1782. doi: https://doi.org/10.3892/mmr.2020.11247
Fang HZ, Hu DL, Li Q, Tu S. Risk gene identification and support vector machine learning to construct an early diagnosis model of myocardial infarction. Mol Med Rep. 2020 Sep;22(3):1775-1782. doi: 10.3892/mmr.2020.11247. Epub 2020 Jun 17. PMID: 32705275; PMCID: PMC7411293.
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Causal effect of Lipoprotein-associated phospholipase A2 activity on coronary artery disease and myocardial Infarction: A Two-Sample Mendelian Randomization study.

Clinica chimica acta; international journal of clinical chemistry

Sun L, Zhu Z, Shi M, Jia Y, Yang P, Wang Y, Liu F, Zhang Y.
PMID: 34740601
Clin Chim Acta. 2021 Dec;523:491-496. doi: 10.1016/j.cca.2021.10.039. Epub 2021 Nov 02.

BACKGROUND: Lipoprotein-associated phospholipase A2 (Lp-PLA2) activity has been reported to be associated with coronary artery disease (CAD) and myocardial infarction (MI). However, whether Lp-PLA2 is a causal risk factor for CAD and MI remains unclear. Herein, we performed a...

Cite
Sun L, Zhu Z, Shi M, et al. Causal effect of Lipoprotein-associated phospholipase A2 activity on coronary artery disease and myocardial Infarction: A Two-Sample Mendelian Randomization study. Clin Chim Acta. 2021;523:491-496doi: 10.1016/j.cca.2021.10.039.
Sun, L., Zhu, Z., Shi, M., Jia, Y., Yang, P., Wang, Y., Liu, F., & Zhang, Y. (2021). Causal effect of Lipoprotein-associated phospholipase A2 activity on coronary artery disease and myocardial Infarction: A Two-Sample Mendelian Randomization study. Clinica chimica acta; international journal of clinical chemistry, 523491-496. https://doi.org/10.1016/j.cca.2021.10.039
Sun, Lulu, et al. "Causal effect of Lipoprotein-associated phospholipase A2 activity on coronary artery disease and myocardial Infarction: A Two-Sample Mendelian Randomization study." Clinica chimica acta; international journal of clinical chemistry vol. 523 (2021): 491-496. doi: https://doi.org/10.1016/j.cca.2021.10.039
Sun L, Zhu Z, Shi M, Jia Y, Yang P, Wang Y, Liu F, Zhang Y. Causal effect of Lipoprotein-associated phospholipase A2 activity on coronary artery disease and myocardial Infarction: A Two-Sample Mendelian Randomization study. Clin Chim Acta. 2021 Dec;523:491-496. doi: 10.1016/j.cca.2021.10.039. Epub 2021 Nov 02. PMID: 34740601.
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Showing 1 to 11 of 11 entries