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NMR-Based Metabolomics to Evaluate Individual Response to Treatments.
Vignoli, Alessia; Meoni, Gaia; Ghini, Veronica; Di Cesare, Francesca; Tenori, Leonardo; Luchinat, Claudio; Turano, Paola.
Afiliação
  • Vignoli A; Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.
  • Meoni G; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.
  • Ghini V; Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.
  • Di Cesare F; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.
  • Tenori L; Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.
  • Luchinat C; Department of Chemistry "Ugo Schiff", University of Florence, Sesto Fiorentino, Italy.
  • Turano P; Magnetic Resonance Center (CERM), University of Florence, Sesto Fiorentino, Italy.
Handb Exp Pharmacol ; 277: 209-245, 2023.
Article em En | MEDLINE | ID: mdl-36318327
ABSTRACT
The aim of this chapter is to highlight the various aspects of metabolomics in relation to health and diseases, starting from the definition of metabolic space and of how individuals tend to maintain their own position in this space. Physio-pathological stimuli may cause individuals to lose their position and then regain it, or move irreversibly to other positions. By way of examples, mostly selected from our own work using 1H NMR on biological fluids, we describe the effects on the individual metabolomic fingerprint of mild external interventions, such as diet or probiotic administration. Then we move to pathologies (such as celiac disease, various types of cancer, viral infections, and other diseases), each characterized by a well-defined metabolomic fingerprint. We describe the effects of drugs on the disease fingerprint and on its reversal to a healthy metabolomic status. Drug toxicity can be also monitored by metabolomics. We also show how the individual metabolomic fingerprint at the onset of a disease may discriminate responders from non-responders to a given drug, or how it may be prognostic of e.g., cancer recurrence after many years. In parallel with fingerprinting, profiling (i.e., the identification and quantification of many metabolites and, in the case of selected biofluids, of the lipoprotein components that contribute to the 1H NMR spectral features) can provide hints on the metabolic pathways that are altered by a disease and assess their restoration after treatment.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Metabolômica Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Imageamento por Ressonância Magnética / Metabolômica Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article