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      SCOPUS SCIE

      Genetic polymorphism in the pregnancy-associated plasma protein-A associated with acute myocardial infarction

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      https://www.riss.kr/link?id=A107691153

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      다국어 초록 (Multilingual Abstract)

      BACKGROUND: Pregnancy-associated plasma protein-A (PAPP-A) is a high-molecular-weight, zinc-binding matrix metalloproteinase that is known to be abundantly expressed in ruptured plaques. Previous studies have shown PAPP-A to be a significant marker of...

      BACKGROUND: Pregnancy-associated plasma protein-A (PAPP-A) is a high-molecular-weight, zinc-binding matrix metalloproteinase that is known to be abundantly expressed in ruptured plaques. Previous studies have shown PAPP-A to be a significant marker of plaque instability and cardiovascular events in patients with acute coronary syndromes. Because the activity of PAPP-A may be modulated by genetic variants in the PAPP-A genes, we tried to determine the association of PAPP-A gene with acute myocardial infarction (AMI). METHODS: We analyzed four single nucleotide polymorphisms (SNPs) of PAPP-A gene variants and seven other polymorphisms of cytokine genes that have been reported to have functional significance (RANTES G-403A, MCP1 G-2518A, CRP A2147G, CRP G-717A, AGER G557A, LTA T26A, IL-6 G-572C) for possible association with AMI in 170 unrelated AMI patients and unrelated age-matched controls, respectively. RESULTS: The average age of the study population was 62.2±11.4 years in AMI patients and 62.6±10.4 years in healthy controls. Multiple logistic regression analysis with risk factors such as age, male sex, smoking, hypertension, diabetes mellitus, and dyslipidemia revealed the PAPP-A IVS6+95 C allele to be associated with an increased risk of AMI (dominancy: odds ratio, 2.13; 95% confidence interval, 1.12–4.07; P=0.022; codominancy: odds ratio, 1.89; 95% confidence interval, 1.14–3.16; P=0.015). CONCLUSIONS: We found, for the first time, that PAPP-A IVS6+95 C allele is an independent risk factor for AMI even after adjustment for traditional risk factors. The determination of such genotype contributing to AMI could provide a new tool for identifying high-risk individuals.

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