(1)H NMR-based metabolic profiling of urinary tract infection: combining multiple statistical models and clinical data.

ABSTRACT: 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 other

SUBMITTER: Nevedomskaya E 

PROVIDER: S-EPMC3483096 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature