title: Relationship of anti-60 kDa heat shock protein and anti-cholesterol antibodies to cardiovascular events.
abstract: BACKGROUND
  Several recent studies have indicated an association between key inflammatory mediators and atherosclerotic diseases. We evaluated whether high levels of antibodies against heat shock proteins and cholesterol (ACHA) predicted cardiovascular (CV) events.
  
  
  RESULTS
  We used blood samples from the Heart Outcomes Prevention Evaluation (HOPE) study to conduct a nested case-control study of 386 cases with CV events and 386 age- and sex-matched HOPE study controls without events. We explored the relationship between anti-hsp antibodies, ACHA, and subsequent outcomes (incident myocardial infarction, stroke, or CV death) during a mean follow-up of 4.5 years using conditional logistic regression. High levels of anti-hsp65 antibodies (> or =90th percentile) predicted CV events (OR, 2.1; 95% CI, 1.2 to 3.9, P=0.01). Anti-hsp60 antibodies did not predict any event type, whereas incident stroke developed significantly less frequently in patients with high ACHA levels. Anti-hsp antibodies and ACHA did not correlate with inflammatory (fibrinogen, C-reactive protein, interleukin-6, intracellular adhesion molecule-1) or infectious markers (C pneumoniae or cytomegalovirus antibodies). Anti-hsp65 antibodies (> or =90th percentile) and fibrinogen (highest tertile) had a strong joint effect: patients with high concentrations of both had more CV events (OR, 5.5; 95% CI, 1.8 to 17.5, P=0.004) than patients with low levels of both. A similar joint effect (OR, 2.7; 95% CI, 1.3 to 5.7, P=0.01) was found for high levels of anti-hsp65 and presence of cytomegalovirus antibodies.
  
  
  CONCLUSIONS
  Serum antibodies to hsp65 were associated with subsequent CV events in this study of high-risk patients, independent of conventional cardiovascular risk factors and other inflammatory markers.
authors.affiliation: Third Department of Internal Medicine, Faculty of Medicine, Semmelweis University, Budapest, Hungary.
authors.forename: Amarilla
authors.initials: A
authors.lastname: Veres
authors.forename: George
authors.initials: G
authors.lastname: Füst
authors.forename: Marek
authors.initials: M
authors.lastname: Smieja
authors.forename: Matthew
authors.initials: M
authors.lastname: McQueen
authors.forename: Anna
authors.initials: A
authors.lastname: Horváth
authors.forename: Qilong
authors.initials: Q
authors.lastname: Yi
authors.forename: Adrienn
authors.initials: A
authors.lastname: Bíró
authors.forename: Janice
authors.initials: J
authors.lastname: Pogue
authors.forename: László
authors.initials: L
authors.lastname: Romics
authors.forename: István
authors.initials: I
authors.lastname: Karádi
authors.forename: Mahavir
authors.initials: M
authors.lastname: Singh
authors.forename: Judy
authors.initials: J
authors.lastname: Gnarpe
authors.forename: Zoltán
authors.initials: Z
authors.lastname: Prohászka
authors.forename: Salim
authors.initials: S
authors.lastname: Yusuf
mesh_terms: D000368:Aged; D001323:Autoantibodies / Q000097:blood*; D001426:Bacterial Proteins; D015415:Biomarkers / Q000097:blood; D002170:Canada / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000097:blood / Q000453:epidemiology* / Q000276:immunology*; D016022:Case-Control Studies; D018834:Chaperonin 60 / Q000276:immunology; D018833:Chaperonins / Q000276:immunology*; D016993:Chlamydophila pneumoniae / Q000276:immunology; D002784:Cholesterol / Q000276:immunology*; D003587:Cytomegalovirus / Q000276:immunology; D016757:Death, Sudden, Cardiac / Q000453:epidemiology; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D015994:Incidence; D016015:Logistic Models; D008297:Male; D009203:Myocardial Infarction / Q000097:blood / Q000453:epidemiology / Q000276:immunology; D016017:Odds Ratio; D011237:Predictive Value of Tests; D011446:Prospective Studies; D012307:Risk Factors; D016036:Seroepidemiologic Studies; D020521:Stroke / Q000097:blood / Q000453:epidemiology / Q000276:immunology
chemical_list: D001323:Autoantibodies; D001426:Bacterial Proteins; D015415:Biomarkers; D018834:Chaperonin 60; C074119:heat-shock protein 65, Mycobacterium; D002784:Cholesterol; D018833:Chaperonins