Literature DB >> 21849651

Systemic chemokine levels, coronary heart disease, and ischemic stroke events: the PRIME study.

F Canouï-Poitrine1, G Luc, Z Mallat, E Machez, A Bingham, J Ferrieres, J-B Ruidavets, M Montaye, J Yarnell, B Haas, D Arveiler, P Morange, F Kee, A Evans, P Amouyel, P Ducimetiere, J-P Empana.   

Abstract

OBJECTIVES: To quantify the association between systemic levels of the chemokine regulated on activation normal T-cell expressed and secreted (RANTES/CCL5), interferon-γ-inducible protein-10 (IP-10/CXCL10), monocyte chemoattractant protein-1 (MCP-1/CCL2), and eotaxin-1 (CCL11) with future coronary heart disease (CHD) and ischemic stroke events and to assess their usefulness for CHD and ischemic stroke risk prediction in the PRIME Study.
METHODS: After 10 years of follow-up of 9,771 men, 2 nested case-control studies were built including 621 first CHD events and 1,242 matched controls and 95 first ischemic stroke events and 190 matched controls. Standardized hazard ratios (HRs) for each log-transformed chemokine were estimated by conditional logistic regression.
RESULTS: None of the 4 chemokines were independent predictors of CHD, either with respect to stable angina or to acute coronary syndrome. Conversely, RANTES (HR = 1.70; 95% confidence interval [CI] 1.05-2.74), IP-10 (HR = 1.53; 95% CI 1.06-2.20), and eotaxin-1 (HR = 1.59; 95% CI 1.02-2.46), but not MCP-1 (HR = 0.99; 95% CI 0.68-1.46), were associated with ischemic stroke independently of traditional cardiovascular risk factors, hs-CRP, and fibrinogen. When the first 3 chemokines were included in the same multivariate model, RANTES and IP-10 remained predictive of ischemic stroke. Their addition to a traditional risk factor model predicting ischemic stroke substantially improved the C-statistic from 0.6756 to 0.7425 (p = 0.004).
CONCLUSIONS: In asymptomatic men, higher systemic levels of RANTES and IP-10 are independent predictors of ischemic stroke but not of CHD events. RANTES and IP-10 may improve the accuracy of ischemic stroke risk prediction over traditional risk factors.

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Year:  2011        PMID: 21849651      PMCID: PMC3174064          DOI: 10.1212/WNL.0b013e31822dc7c8

Source DB:  PubMed          Journal:  Neurology        ISSN: 0028-3878            Impact factor:   9.910


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