HR-MAS NMR spectroscopy allows the detailed metabolic analysis of whole biopsy samples, of normal and alterated tissues, to be performed. The NMR spectra constitute a “fingerprint” of the whole metabolome. Correlations between some metabolites and proliferative markers allow gaining insight into the relationship between cellular proliferation and the metabolic changes associated with the presence and tumour aggressiveness. Because metabolites represent the downstream expression of genome, transcriptome and proteome, they can closely reflect the phenotype of an organism at a specific time. Analyzing metabolic differences between normal and perturbed pathways could also provide insight into disease prognosis and diagnosis. Metabolomics could reveal novel cancer biomarkers that might expand our current understanding of this multi-factorial disease. The clinical role of proton NMR in the evaluation of brain tumours, as well as breast and prostate cancer, has been under investigation for several years.[1] During last years our interest was focused on metabolism of colonrectal and brain tissues by using the HR-MAS NMR technique. Some results coming for our research on glioma and linfoma brain tumours and the metabolic correlation existing between colorectal cancer and polyps will be presented.

HR-MAS NMR CONTRIBUTION TO THE COMPREHENSION OF METABOLIC DISORDERS IN INFLAMMATORY AND NEOPLASTIC HYPERPROLIFERATIVE DISEASE / Righi, V.; Schenetti, Luisa; Valentini, A.; REGGIANI BONETTI, Luca; Mucci, Adele. - ELETTRONICO. - unico:(2016), pp. 27-27. (Intervento presentato al convegno XLV National Congress on Magnetic Resonance tenutosi a Modena nel 5-7 settembre 2016).

HR-MAS NMR CONTRIBUTION TO THE COMPREHENSION OF METABOLIC DISORDERS IN INFLAMMATORY AND NEOPLASTIC HYPERPROLIFERATIVE DISEASE

SCHENETTI, Luisa;REGGIANI BONETTI, Luca;MUCCI, Adele
2016

Abstract

HR-MAS NMR spectroscopy allows the detailed metabolic analysis of whole biopsy samples, of normal and alterated tissues, to be performed. The NMR spectra constitute a “fingerprint” of the whole metabolome. Correlations between some metabolites and proliferative markers allow gaining insight into the relationship between cellular proliferation and the metabolic changes associated with the presence and tumour aggressiveness. Because metabolites represent the downstream expression of genome, transcriptome and proteome, they can closely reflect the phenotype of an organism at a specific time. Analyzing metabolic differences between normal and perturbed pathways could also provide insight into disease prognosis and diagnosis. Metabolomics could reveal novel cancer biomarkers that might expand our current understanding of this multi-factorial disease. The clinical role of proton NMR in the evaluation of brain tumours, as well as breast and prostate cancer, has been under investigation for several years.[1] During last years our interest was focused on metabolism of colonrectal and brain tissues by using the HR-MAS NMR technique. Some results coming for our research on glioma and linfoma brain tumours and the metabolic correlation existing between colorectal cancer and polyps will be presented.
2016
XLV National Congress on Magnetic Resonance
Modena
5-7 settembre 2016
Righi, V.; Schenetti, Luisa; Valentini, A.; REGGIANI BONETTI, Luca; Mucci, Adele
HR-MAS NMR CONTRIBUTION TO THE COMPREHENSION OF METABOLIC DISORDERS IN INFLAMMATORY AND NEOPLASTIC HYPERPROLIFERATIVE DISEASE / Righi, V.; Schenetti, Luisa; Valentini, A.; REGGIANI BONETTI, Luca; Mucci, Adele. - ELETTRONICO. - unico:(2016), pp. 27-27. (Intervento presentato al convegno XLV National Congress on Magnetic Resonance tenutosi a Modena nel 5-7 settembre 2016).
File in questo prodotto:
File Dimensione Formato  
ComunicazioneRighi.JPG

Open access

Descrizione: comunicazioneRighi
Tipologia: Versione pubblicata dall'editore
Dimensione 131.89 kB
Formato JPEG
131.89 kB JPEG Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1108371
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact