4.3 Article

Associations of Candidate Biomarkers of Vascular Disease with the Ankle-Brachial Index and Peripheral Arterial Disease

Journal

AMERICAN JOURNAL OF HYPERTENSION
Volume 26, Issue 4, Pages 495-502

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/ajh/hps073

Keywords

ankle-brachial index; peripheral arterial disease; biomarker; hypertension; blood pressure

Funding

  1. National Institutes of Health [HL-81331, M01 RR00585]

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BACKGROUND The use of multiple biomarkers representing various etiologic pathways of atherosclerosis may improve the prediction of interindividual variation in the ankle brachial index (ABI). To this end, we investigated associations of 47 candidate biomarkers with the ABI and presence of peripheral arterial disease (PAD) in African Americans (AAs) and non-Hispanic whites (NNWs). METHODS Study participants included 1,291 AAs (71.1% women, mean age, 63.4 +/- 9.3 years) and 1,152 NHWs (57.5% women, mean age 58.5 +/- 10.1 years) belonging to hypertensive sibships. Peripheral arterial disease was defined as an ABI <= 0.90. Circulating levels of 47 candidate biomarkers were log-transformed before analysis because of skewed distribution. Multivariate regression analyses were used to identify biomarkers associated with ABI or PAD independently of age, sex, conventional risk factors, and medication use. RESULTS After adjustment for covariates, higher levels of nine biomarkers were associated with a lower ABI in AAs (all P <= 0.005); these biomarkers were C-reactive protein (CRP), interleukin-6, tumor necrosis factor receptor-II (TNF-R II), lipoprotein(a), N-terminal pro-brain natriuretic peptide (NT-proBNP), pro-atrial natriuretic peptide, C-terminal pro-arginine vasopressin, osteoprotegerin, and fibrinogen. Three biomarkers - myeloperoxidase, NT-proBNP, and D-dimer - were associated with ABI in NHWs (all P <= 0.01). C-reactive protein, interleukin-6, TNF-R II, lipoprotein(a), NT-proBNP, pro-atrial natriuretic peptide, D-dimer, and fibrinogen were associated with PAD (all P <= 0.005) in AAs after adjustment for covariates. None of the biomarkers were independently associated with PAD in NHWs. CONCLUSION A multimarker approach improved the prediction of interindividual variation in the ABI in AAs and NHWs, and improved prediction of the presence of PAD in AAs.

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