| Literature DB >> 34299442 |
Greta Petrella1, Camilla Montesano2, Sara Lentini1, Giorgia Ciufolini1, Domitilla Vanni1, Roberto Speziale3, Andrea Salonia4,5, Francesco Montorsi4,5, Vincenzo Summa3, Riccardo Vago4,5, Laura Orsatti3, Edith Monteagudo3, Daniel Oscar Cicero1.
Abstract
A new strategy that takes advantage of the synergism between NMR and UHPLC-HRMS yields accurate concentrations of a high number of compounds in biofluids to delineate a personalized metabolic profile (SYNHMET). Metabolite identification and quantification by this method result in a higher accuracy compared to the use of the two techniques separately, even in urine, one of the most challenging biofluids to characterize due to its complexity and variability. We quantified a total of 165 metabolites in the urine of healthy subjects, patients with chronic cystitis, and patients with bladder cancer, with a minimum number of missing values. This result was achieved without the use of analytical standards and calibration curves. A patient's personalized profile can be mapped out from the final dataset's concentrations by comparing them with known normal ranges. This detailed picture has potential applications in clinical practice to monitor a patient's health status and disease progression.Entities:
Keywords: mass spectrometry; normal ranges; nuclear magnetic resonance; personalized metabolic profile; urine metabolome
Year: 2021 PMID: 34299442 DOI: 10.3390/molecules26144167
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411