Personalized metabolic profile by synergic use of NMR and HRMS

Abstract

A new strategy that takes advantage of the synergism between NMR and LC-HRMS (SYNHMET), and that allows to obtain a unique list of the absolute concentrations of 164 metabolites in urine, is presented. Metabolite identification and quantification by this method in one of the most difficult biofluids to characterize, due to complexity and variability, is more accurate than what can be obtained using the two techniques separately. This result is achieved without the need for chemical reactions to cross-check the data between the two types of spectra, nor the use of analytical standards and calibration curves. The fact that the absolute rather than relative concentration is obtained allows the final dataset to be used to determine a patient's personalized profile. The number of quantifiable metabolites by the application of this method can be expanded in the future with further analysis. We will illustrate the use of SYNHMET in the study of urine samples from healthy subjects, patients with chronic cystitis and bladder cancer.