Document Detail


Application of chemometrics to 1H NMR spectroscopic data to investigate a relationship between human serum metabolic profiles and hypertension.
MedLine Citation:
PMID:  12572799     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The application of chemometric methods to 1H NMR spectroscopic data has been documented for pathophysiological processes. In this study we show the application of 1H NMR-based metabonomics to investigate a relationship between serum metabolic profiles and hypertension. Although hypertension can be defined using blood pressure measurements, the underlying aetiology and metabolic effects are not so readily identified. Serum profiles for patients with low/normal systolic blood pressure (SBP < or = 130 mm Hg; n = 28), borderline SBP (131-149 mm Hg; n = 19) and high SBP (> or = 150 mm Hg; n = 17) were acquired using 1H NMR spectroscopy. Orthogonal signal correction followed by principal components analysis were applied to these NMR data in order to facilitate interpretation, and the resulting chemometric models were validated using Soft Independent Modelling of Class Analogy. Using 1H NMR-based metabonomics, it was possible to distinguish low/ normal SBP serum samples from borderline and high SBP samples. Borderline and high SBP samples, however, were indiscriminate from each other. Our preliminary results showed that there was a relationship between serum metabolic profiles and blood pressure which, in part, was due to lipoprotein particle composition differences between the samples. Furthermore, our results indicated that serum pathology associated with blood pressure is apparent at SBP values > 130 mm Hg, which the WHO and ISH currently define as the limit between normal and high-normal.
Authors:
Joanne T Brindle; Jeremy K Nicholson; Peter M Schofield; David J Grainger; Elaine Holmes
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  The Analyst     Volume:  128     ISSN:  0003-2654     ISO Abbreviation:  Analyst     Publication Date:  2003 Jan 
Date Detail:
Created Date:  2003-02-07     Completed Date:  2003-04-14     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  0372652     Medline TA:  Analyst     Country:  England    
Other Details:
Languages:  eng     Pagination:  32-6     Citation Subset:  IM    
Affiliation:
Biological Chemistry, Biomedical Sciences Division, Sir Alexander Fleming Building, Faculty of Medicine, Imperial College of Science Technology and Medicine, Exhibition Road, South Kensington, London, UK SW7 2AZ. j.ashfield@ic.ac.uk
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MeSH Terms
Descriptor/Qualifier:
Coronary Angiography
Humans
Hypertension / blood*,  radiography
Lipids / blood*
Magnetic Resonance Spectroscopy
Models, Biological
Principal Component Analysis
Reference Values
Systole
Chemical
Reg. No./Substance:
0/Lipids

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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