Lipidomics Profiling and Risk of Cardiovascular Disease in the Prospective Population-Based Bruneck Study
Author(s) -
Christin Stegemann,
Raimund Pechlaner,
Peter Willeit,
Sarah R. Langley,
Massimo Mangino,
Ursula Mayr,
Cristina Menni,
Alireza Moayyeri,
Peter Santer,
Gregor Rungger,
Tim D. Spector,
Johann Willeit,
Stefan Kiechl,
Manuel Mayr
Publication year - 2014
Publication title -
circulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 7.795
H-Index - 607
eISSN - 1524-4539
pISSN - 0009-7322
DOI - 10.1161/circulationaha.113.002500
Subject(s) - medicine , lipidomics , profiling (computer programming) , disease , population , prospective cohort study , bioinformatics , environmental health , biology , computer science , operating system
The bulk of cardiovascular disease risk is not explained by traditional risk factors. Recent advances in mass spectrometry allow the identification and quantification of hundreds of lipid species. Molecular lipid profiling by mass spectrometry may improve cardiovascular risk prediction.
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