Document Detail

(1)H NMR-based metabolic profiling of urinary tract infection: combining multiple statistical models and clinical data.
MedLine Citation:
PMID:  23136561     Owner:  NLM     Status:  Publisher    
Urinary tract infection (UTI) encompasses a variety of clinical syndromes ranging from mild to life-threatening conditions. As such, it represents an interesting model for the development of an analytically based scoring system of disease severity and/or host response. Here we test the feasibility of this concept using (1)H NMR based metabolomics as the analytical platform. Using an exhaustively clinically characterized cohort and taking advantage of the multi-level study design, which opens possibilities for case-control and longitudinal modeling, we were able to identify molecular discriminators that characterize UTI patients. Among those discriminators a number (e.g. acetate, trimethylamine and others) showed association with the degree of bacterial contamination of urine, whereas others, such as, for instance, scyllo-inositol and para-aminohippuric acid, are more likely to be the markers of morbidity. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-012-0411-y) contains supplementary material, which is available to authorized users.
Ekaterina Nevedomskaya; Tiziana Pacchiarotta; Artem Artemov; Axel Meissner; Cees van Nieuwkoop; Jaap T van Dissel; Oleg A Mayboroda; André M Deelder
Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-2-29
Journal Detail:
Title:  Metabolomics : Official journal of the Metabolomic Society     Volume:  8     ISSN:  1573-3890     ISO Abbreviation:  Metabolomics     Publication Date:  2012 Dec 
Date Detail:
Created Date:  2012-11-8     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101274889     Medline TA:  Metabolomics     Country:  -    
Other Details:
Languages:  ENG     Pagination:  1227-1235     Citation Subset:  -    
Biomolecular Mass Spectrometry Unit, Department of Parasitology, Leiden University Medical Center, Albinusdreef 2, 2333ZA Leiden, The Netherlands.
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