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Clinical Chemistry and Laboratory Medicine (CCLM)

Published in Association with the European Federation of Clinical Chemistry and Laboratory Medicine (EFLM)

Editor-in-Chief: Plebani, Mario

Editorial Board Member: Gillery, Philippe / Kazmierczak, Steven / Lackner, Karl J. / Lippi, Giuseppe / Melichar, Bohuslav / Schlattmann, Peter / Whitfield, John B.

13 Issues per year

IMPACT FACTOR 2013: 2.955
Rank 5 out of 29 in category Medical Laboratory Technology in the 2013 Thomson Reuters Journal Citation Report/Science Edition

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Critical evaluation of 1H NMR metabonomics of serum as a methodology for disease risk assessment and diagnostics

Mika Ala-Korpela1

1Laboratory of Computational Engineering, Systems Biology and Bioinformation Technology, Helsinki University of Technology, Espoo, Finland

Corresponding author: Dr. Mika Ala-Korpela, PhD in Physics, Docent in Biological NMR, Group Leader in Computational Medicine, Laboratory of Computational Engineering, Systems Biology and Bioinformation Technology, Helsinki University of Technology, P.O. Box 9203, 02015 HUT Finland Phone: +358-50-3535457, Fax: +358-9-4514833,

Citation Information: Clinical Chemistry and Laboratory Medicine. Volume 46, Issue 1, Pages 27–42, ISSN (Online) 1437-4331, ISSN (Print) 1434-6621, DOI: 10.1515/CCLM.2008.006, November 2007

Publication History

Received:
2007-07-05
Accepted:
2007-08-06
Published Online:
2007-11-18

Abstract

This review focuses on (i) the current status of 1H NMR spectroscopy to quantify lipoprotein subclasses directly from serum or plasma, and (ii) the applications of 1H NMR metabonomics of serum in biomedicine. Related to both themes, experimental and data analysis methodologies are discussed together with the biochemical rationales. Particular emphasis is placed on the concepts of risk assessment and diagnostics in relation to the potential clinical role of 1H NMR metabonomics; recent applications in the area of coronary heart disease and diabetes are addressed in more detail.

Clin Chem Lab Med 2008;46:27–42.

Keywords: blood plasma and serum; coronary heart disease; data analysis; diagnostics; lipoprotein subclass; metabolomics; metabonomics; nuclear magnetic resonance spectroscopy; quantification; risk assessment

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