OBJECTIVE: Adipocytokines are hormones secreted from adipose tissue that possibly link adiposity and the risk of cardiovascular disease, but limited prospective data exist on plasma adipocytokines and ischemic stroke risk. We investigated associations and predictive properties of 4 plasma adipocytokines, namely resistin, adipsin, leptin, and total adiponectin, with regard to incident ischemic stroke in the PRIME Study. METHODS: A cohort of 9,771 healthy men 50 to 59 years of age at baseline was followed up over a period of 10 years. In a nested case-control study, 95 ischemic stroke cases were matched with 190 controls on age, study center, and date of examination. Hazard ratios (HRs) per standard deviation increase in plasma adipocytokine levels were estimated using conditional logistic regression analysis. The additive value of adipocytokines in stroke risk prediction was evaluated by discrimination and reclassification metrics. RESULTS: Resistin (HR, 1.88; 95% confidence interval [CI], 1.16-3.03), adipsin (HR, 2.01; 95% CI, 1.33-3.04), and total adiponectin (HR, 1.53; 95% CI, 1.01-2.34), but not leptin, were independent predictors of ischemic stroke. The performance of a traditional risk factor model predicting ischemic stroke was significantly improved by the simultaneous inclusion of resistin, adipsin, and total adiponectin (c-statistic: 0.673 [95% CI, 0.631-0.766] vs 0.826 [95% CI, 0.792-0.892], p < 0.001; net reclassification improvement: 38.1%, p < 0.001). INTERPRETATION: Higher plasma levels of resistin, adipsin, and total adiponectin were associated with an increased 10-year risk of ischemic stroke among healthy middle-aged men. Resistin, adipsin, and total adiponectin provided incremental value over traditional risk factors for the prediction of ischemic stroke risk.
OBJECTIVE: Adipocytokines are hormones secreted from adipose tissue that possibly link adiposity and the risk of cardiovascular disease, but limited prospective data exist on plasma adipocytokines and ischemic stroke risk. We investigated associations and predictive properties of 4 plasma adipocytokines, namely resistin, adipsin, leptin, and total adiponectin, with regard to incident ischemic stroke in the PRIME Study. METHODS: A cohort of 9,771 healthy men 50 to 59 years of age at baseline was followed up over a period of 10 years. In a nested case-control study, 95 ischemic stroke cases were matched with 190 controls on age, study center, and date of examination. Hazard ratios (HRs) per standard deviation increase in plasma adipocytokine levels were estimated using conditional logistic regression analysis. The additive value of adipocytokines in stroke risk prediction was evaluated by discrimination and reclassification metrics. RESULTS: Resistin (HR, 1.88; 95% confidence interval [CI], 1.16-3.03), adipsin (HR, 2.01; 95% CI, 1.33-3.04), and total adiponectin (HR, 1.53; 95% CI, 1.01-2.34), but not leptin, were independent predictors of ischemic stroke. The performance of a traditional risk factor model predicting ischemic stroke was significantly improved by the simultaneous inclusion of resistin, adipsin, and total adiponectin (c-statistic: 0.673 [95% CI, 0.631-0.766] vs 0.826 [95% CI, 0.792-0.892], p < 0.001; net reclassification improvement: 38.1%, p < 0.001). INTERPRETATION: Higher plasma levels of resistin, adipsin, and total adiponectin were associated with an increased 10-year risk of ischemic stroke among healthy middle-aged men. Resistin, adipsin, and total adiponectin provided incremental value over traditional risk factors for the prediction of ischemic stroke risk.
Authors: Hannah Gardener; Ronald Goldberg; Armando J Mendez; Clinton B Wright; Tatjana Rundek; Mitchell S V Elkind; Ralph L Sacco Journal: Atherosclerosis Date: 2012-11-28 Impact factor: 5.162
Authors: Hamidreza Saber; Jayandra J Himali; Ashkan Shoamanesh; Alexa Beiser; Aleksandra Pikula; Tamara B Harris; Ronenn Roubenoff; Jose Rafael Romero; Carlos S Kase; Ramachandran S Vasan; Sudha Seshadri Journal: Stroke Date: 2015-09-03 Impact factor: 7.914
Authors: Ryan C Turner; Brandon Lucke-Wold; Noelle Lucke-Wold; Alisa S Elliott; Aric F Logsdon; Charles L Rosen; Jason D Huber Journal: Int J Mol Sci Date: 2013-01-17 Impact factor: 5.923