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Personalized Metabolic Profile by Synergic Use of NMR and HRMS.
Petrella, Greta; Montesano, Camilla; Lentini, Sara; Ciufolini, Giorgia; Vanni, Domitilla; Speziale, Roberto; Salonia, Andrea; Montorsi, Francesco; Summa, Vincenzo; Vago, Riccardo; Orsatti, Laura; Monteagudo, Edith; Cicero, Daniel Oscar.
Afiliación
  • Petrella G; Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
  • Montesano C; Chemistry Department, University of Rome "Sapienza", 00185 Rome, Italy.
  • Lentini S; Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
  • Ciufolini G; Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
  • Vanni D; Department of Chemical Science and Technology, University of Rome "Tor Vergata", 00133 Rome, Italy.
  • Speziale R; IRBM S.p.A., 00071 Pomezia, Italy.
  • Salonia A; Urological Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy.
  • Montorsi F; Division of Experimental Oncology, URI Urological Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
  • Summa V; Urological Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy.
  • Vago R; Division of Experimental Oncology, URI Urological Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
  • Orsatti L; IRBM S.p.A., 00071 Pomezia, Italy.
  • Monteagudo E; Urological Research Institute, IRCCS Ospedale San Raffaele, 20132 Milan, Italy.
  • Cicero DO; Division of Experimental Oncology, URI Urological Research Institute, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
Molecules ; 26(14)2021 Jul 08.
Article en En | MEDLINE | ID: mdl-34299442
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Orina / Metabolómica / Medicina de Precisión Tipo de estudio: Guideline Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Italia

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Orina / Metabolómica / Medicina de Precisión Tipo de estudio: Guideline Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: Molecules Asunto de la revista: BIOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Italia