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RESEARCH PRODUCT
Acute Myocardial Infarction and Proinflammatory Gene Variants
Federico LicastroCalogero CarusoClaudio Marcello CaldareraElizabeth H. CorderMartina ChiapelliDomenico Liosubject
AdultMaleApolipoprotein EAdolescentMyocardial InfarctionGeneral Biochemistry Genetics and Molecular BiologyProinflammatory cytokinePathogenesischemistry.chemical_compoundApolipoproteins EHistory and Philosophy of SciencemedicineHumansGenetic Predisposition to DiseaseMyocardial infarctionAge of OnsetAlleleAllelesSerpinsAgedAged 80 and overbusiness.industryCholesterolGeneral NeuroscienceMiddle Agedmedicine.diseaseMiddle ageInterleukin 10CholesterolchemistryAMI Grade of Membership Genetic profile IL6 -174 G/C TNF -308 G/A IL10 -1082 G/A SERPINA3 -51 G/T IFNG +874 T/A HMGCR -911 C/A APOE ε2/3/4Acute DiseaseImmunologyCytokinesFemaleHydroxymethylglutaryl CoA Reductaseslipids (amino acids peptides and proteins)businessdescription
We identified four genetic risk sets for acute myocardial infarction (AMI) from information on functional gene variants that favor inflammation or modulate cholesterol metabolism: IL6 -174 G/C, TNF -308 G/A, IL10 -1082 G/A, SERPINA3 -51 G/T, IFNG +874 T/A, HMGCR -911 C/A, and APOE ε2/3/4; 316 patients and 461 healthy subjects, all Italian. Putative risk alleles are shown underlined. The sets were identified using grade-of-membership analysis. Membership scores in the sets are automatically generated for individuals. The ''low intrinsic risk'' set had alleles that downregulate inflammation and cholesterol synthesis (IL6, TNF, ILl0, HMGCR). ''AMI across a broad age range'' carried multiple proinflammatory alleles (IL6, TNF, IL10, SERPINA3): All 72 persons like this set were affected yet had relatively low plasma cholesterol levels. ''A subset of AMI in middle age'' had numerous proinflammatory alleles (IL6, TNF, SERPINA3, IFNG, HMGCR). ''AMI after age 80'' had a reduced risk set (IL6, IL10, IFNG). A total of 95% of cases had ≥50% membership in the high intrinsic risk sets. We conclude that proinflammatory gene variants taken together strongly determine an individual''s risk for myocardial infarction. This information may better define the pathogenesis of myocardial infarction and identify individuals who might benefit from early interventions.
year | journal | country | edition | language |
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2007-11-01 | Annals of the New York Academy of Sciences |