A1 Refereed original research article in a scientific journal
High-throughput quantification of circulating metabolites improves prediction of subclinical atherosclerosis
Authors: Wurtz P, Raiko JR, Magnussen CG, Soininen P, Kangas AJ, Tynkkynen T, Thomson R, Laatikainen R, Savolainen MJ, Laurikka J, Kuukasjarvi P, Tarkka M, Karhunen PJ, Jula A, Viikari JS, Kahonen M, Lehtimaki T, Juonala M, Ala-Korpela M, Raitakari OT
Publisher: OXFORD UNIV PRESS
Publication year: 2012
Journal: European Heart Journal
Journal name in source: EUROPEAN HEART JOURNAL
Journal acronym: EUR HEART J
Number in series: 18
Volume: 33
Issue: 18
First page : 2307
Last page: 2316
Number of pages: 10
ISSN: 0195-668X
DOI: https://doi.org/10.1093/eurheartj/ehs020
Abstract
High-throughput metabolite quantification, with new systemic biomarkers, improved risk stratification for subclinical atherosclerosis in comparison to conventional lipids and could potentially be useful for early cardiovascular risk assessment.
High-throughput metabolite quantification, with new systemic biomarkers, improved risk stratification for subclinical atherosclerosis in comparison to conventional lipids and could potentially be useful for early cardiovascular risk assessment.