Charlotte Andersson1, Danielle Enserro2, Lisa Sullivan2, Thomas J Wang3, James L Januzzi4, Emelia J Benjamin5, Joseph A Vita6, Naomi M Hamburg6, Martin G Larson7, Gary F Mitchell8, Ramachandran S Vasan5. 1. The Boston University's and National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA, USA. Electronic address: ca@heart.dk. 2. Department of Biostatistics, Boston University, MA, USA. 3. The Boston University's and National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA, USA; Division of Cardiovascular Medicine, Vanderbilt University, Nashville, TN, USA. 4. Cardiology Division, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. 5. The Boston University's and National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA, USA; Sections of Preventive Medicine and Cardiology, Boston University School of Medicine, Boston, MA, USA; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA. 6. Evans Department of Medicine and Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA, USA. 7. The Boston University's and National Heart, Lung, Blood Institute's Framingham Heart Study, Framingham, MA, USA. 8. Cardiovascular Engineering, Inc., Norwood, MA, USA.
Abstract
BACKGROUND AND AIMS: Growth differentiation factor-15 (GDF-15), soluble (s)ST2, and high-sensitivity troponin-I (hs-TnI) are associated with incident cardiovascular disease (CVD) including heart failure, yet the underlying mechanisms are not fully understood. We investigated if GDF-15, sST2, and hs-TnI are related to subclinical vascular dysfunction in the community, which may explain the relations of these biomarkers with CVD. METHODS: We evaluated 1823 Framingham Study participants (mean age 61 ± 10 years, 54% women) who underwent routine assessment of vascular function. We related circulating GDF-15, sST2, and hs-TnI concentrations to measures of arterial stiffness (carotid-femoral pulse wave velocity, CFPWV; augmentation index; and forward pressure wave amplitude, FW), endothelial-dependent vasodilation (flow-mediated dilation, FMD), and baseline and hyperemic brachial flow velocities using linear regression adjusting for standard risk factors. RESULTS: After multivariable adjustment, GDF-15 levels were positively associated with CFPWV (0.044 [95% confidence interval 0.007-0.081] standard deviation [SD] change per SD increase in loge[GDF-15], p = 0.02) and FW (0.076 [0.026-0.126] SD change per SD increase in loge[GDF-15], p = 0.003) and inversely related to FMD (-0.051 [-0.101-0.0003] SD change per SD increase in loge[GDF-15], p = 0.048). sST2 was positively associated with CFPWV (0.032 [0.0005-0.063] SD change per SD increase in loge[sST2], p = 0.046), and hs-TnI inversely associated with hyperemic flow velocity (-0.041 [-0.082-0.0004] SD change per SD increase in loge[hs-TnI], p = 0.048). CONCLUSION: In our community-based investigation, individual cardiac stress biomarkers were differentially related to select aspects of vascular function. These findings may contribute to the associations of circulating GDF-15, sST2, and hs-TnI with incident CVD and heart failure.
BACKGROUND AND AIMS: Growth differentiation factor-15 (GDF-15), soluble (s)ST2, and high-sensitivity troponin-I (hs-TnI) are associated with incident cardiovascular disease (CVD) including heart failure, yet the underlying mechanisms are not fully understood. We investigated if GDF-15, sST2, and hs-TnI are related to subclinical vascular dysfunction in the community, which may explain the relations of these biomarkers with CVD. METHODS: We evaluated 1823 Framingham Study participants (mean age 61 ± 10 years, 54% women) who underwent routine assessment of vascular function. We related circulating GDF-15, sST2, and hs-TnI concentrations to measures of arterial stiffness (carotid-femoral pulse wave velocity, CFPWV; augmentation index; and forward pressure wave amplitude, FW), endothelial-dependent vasodilation (flow-mediated dilation, FMD), and baseline and hyperemic brachial flow velocities using linear regression adjusting for standard risk factors. RESULTS: After multivariable adjustment, GDF-15 levels were positively associated with CFPWV (0.044 [95% confidence interval 0.007-0.081] standard deviation [SD] change per SD increase in loge[GDF-15], p = 0.02) and FW (0.076 [0.026-0.126] SD change per SD increase in loge[GDF-15], p = 0.003) and inversely related to FMD (-0.051 [-0.101-0.0003] SD change per SD increase in loge[GDF-15], p = 0.048). sST2 was positively associated with CFPWV (0.032 [0.0005-0.063] SD change per SD increase in loge[sST2], p = 0.046), and hs-TnI inversely associated with hyperemic flow velocity (-0.041 [-0.082-0.0004] SD change per SD increase in loge[hs-TnI], p = 0.048). CONCLUSION: In our community-based investigation, individual cardiac stress biomarkers were differentially related to select aspects of vascular function. These findings may contribute to the associations of circulating GDF-15, sST2, and hs-TnI with incident CVD and heart failure.
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