title: High-throughput serum NMR metabonomics for cost-effective holistic studies on systemic metabolism.
abstract: A high-throughput proton (1H) nuclear magnetic resonance (NMR) metabonomics approach is introduced to characterise systemic metabolic phenotypes. The methodology combines two molecular windows that contain the majority of the metabolic information available by 1H NMR from native serum, e.g. serum lipids, lipoprotein subclasses as well as various low-molecular-weight metabolites. The experimentation is robotics-controlled and fully automated with a capacity of about 150-180 samples in 24 h. To the best of our knowledge, the presented set-up is unique in the sense of experimental high-throughput, cost-effectiveness, and automated multi-metabolic data analyses. As an example, we demonstrate that the NMR data as such reveal associations between systemic metabolic phenotypes and the metabolic syndrome (n = 4407). The high-throughput of up to 50,000 serum samples per year is also paving the way for this technology in large-scale clinical and epidemiological studies. In contradiction to single 'biomarkers', the application of this holistic NMR approach and the integrated computational methods provides a data-driven systems biology approach to biomedical research.
authors.affiliation: NMR Metabonomics Laboratory, Laboratory of Chemistry, Department of Biosciences, University of Kuopio, Kuopio, Finland.
authors.forename: Pasi
authors.initials: P
authors.lastname: Soininen
authors.forename: Antti J
authors.initials: AJ
authors.lastname: Kangas
authors.forename: Peter
authors.initials: P
authors.lastname: Würtz
authors.forename: Taru
authors.initials: T
authors.lastname: Tukiainen
authors.forename: Tuulia
authors.initials: T
authors.lastname: Tynkkynen
authors.forename: Reino
authors.initials: R
authors.lastname: Laatikainen
authors.forename: Marjo-Riitta
authors.initials: MR
authors.lastname: Järvelin
authors.forename: Mika
authors.initials: M
authors.lastname: Kähönen
authors.forename: Terho
authors.initials: T
authors.lastname: Lehtimäki
authors.forename: Jorma
authors.initials: J
authors.lastname: Viikari
authors.forename: Olli T
authors.initials: OT
authors.lastname: Raitakari
authors.forename: Markku J
authors.initials: MJ
authors.lastname: Savolainen
authors.forename: Mika
authors.initials: M
authors.lastname: Ala-Korpela
mesh_terms: D015415:Biomarkers / Q000097:blood*; D002318:Cardiovascular Diseases / Q000209:etiology; D004867:Equipment Design; D006801:Humans; D008055:Lipids / Q000097:blood*; D008074:Lipoproteins / Q000097:blood*; D024821:Metabolic Syndrome / Q000097:blood; D055432:Metabolomics / Q000295:instrumentation / Q000379:methods*; D019906:Nuclear Magnetic Resonance, Biomolecular / Q000379:methods*; D010363:Pattern Recognition, Automated; D012306:Risk; D044967:Serum / Q000378:metabolism*
chemical_list: D015415:Biomarkers; D008055:Lipids; D008074:Lipoproteins