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Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score

The molecular protonation profiles obtained by means of an organic electrochemical transistor, which is used for analysis of molecular products released by blood-derived cultures, contain a large amount of information The transistor is based on the conductive polymer PEDOT:PSS comprising super hydro...

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Autores principales: Coluccio, Maria Laura, Gentile, Francesco, Presta, Ivan, Donato, Giuseppe, Coppedè, Nicola, Valprapuram, Immanuel, Mignogna, Chiara, Lavecchia, Annamaria, Figuccia, Federica, Garo, Virginia M., Fabrizio, Enzo Di, Candeloro, Patrizio, Viglietto, Giuseppe, Malara, Natalia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352557/
https://www.ncbi.nlm.nih.gov/pubmed/32466587
http://dx.doi.org/10.3390/cancers12061362
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author Coluccio, Maria Laura
Gentile, Francesco
Presta, Ivan
Donato, Giuseppe
Coppedè, Nicola
Valprapuram, Immanuel
Mignogna, Chiara
Lavecchia, Annamaria
Figuccia, Federica
Garo, Virginia M.
Fabrizio, Enzo Di
Candeloro, Patrizio
Viglietto, Giuseppe
Malara, Natalia
author_facet Coluccio, Maria Laura
Gentile, Francesco
Presta, Ivan
Donato, Giuseppe
Coppedè, Nicola
Valprapuram, Immanuel
Mignogna, Chiara
Lavecchia, Annamaria
Figuccia, Federica
Garo, Virginia M.
Fabrizio, Enzo Di
Candeloro, Patrizio
Viglietto, Giuseppe
Malara, Natalia
author_sort Coluccio, Maria Laura
collection PubMed
description The molecular protonation profiles obtained by means of an organic electrochemical transistor, which is used for analysis of molecular products released by blood-derived cultures, contain a large amount of information The transistor is based on the conductive polymer PEDOT:PSS comprising super hydrophobic SU8 pillars positioned on the substrate to form a non-periodic square lattice to measure the state of protonation on secretomes derived from liquid biopsies. In the extracellular space of cultured cells, the number of glycation products increase, driven both by a glycolysis metabolism and by a compromised function of the glutathione redox system. Glycation products are a consequence of the interaction of the reactive aldehydes and side glycolytic products with other molecules. As a result, the amount of the glycation products reflects the anti-oxidative cellular reserves, counteracting the reactive aldehyde production of which both the secretome protonation profile and cancer risk are related. The protonation profiles can be profitably exploited through the use of mathematical techniques and multivariate statistics. This study provides a novel chemometric approach for molecular analysis of protonation and discusses the possibility of constructing a predictive cancer risk model based on the exploration of data collected by conventional analysis techniques and novel nanotechnological devices.
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spelling pubmed-73525572020-07-15 Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score Coluccio, Maria Laura Gentile, Francesco Presta, Ivan Donato, Giuseppe Coppedè, Nicola Valprapuram, Immanuel Mignogna, Chiara Lavecchia, Annamaria Figuccia, Federica Garo, Virginia M. Fabrizio, Enzo Di Candeloro, Patrizio Viglietto, Giuseppe Malara, Natalia Cancers (Basel) Article The molecular protonation profiles obtained by means of an organic electrochemical transistor, which is used for analysis of molecular products released by blood-derived cultures, contain a large amount of information The transistor is based on the conductive polymer PEDOT:PSS comprising super hydrophobic SU8 pillars positioned on the substrate to form a non-periodic square lattice to measure the state of protonation on secretomes derived from liquid biopsies. In the extracellular space of cultured cells, the number of glycation products increase, driven both by a glycolysis metabolism and by a compromised function of the glutathione redox system. Glycation products are a consequence of the interaction of the reactive aldehydes and side glycolytic products with other molecules. As a result, the amount of the glycation products reflects the anti-oxidative cellular reserves, counteracting the reactive aldehyde production of which both the secretome protonation profile and cancer risk are related. The protonation profiles can be profitably exploited through the use of mathematical techniques and multivariate statistics. This study provides a novel chemometric approach for molecular analysis of protonation and discusses the possibility of constructing a predictive cancer risk model based on the exploration of data collected by conventional analysis techniques and novel nanotechnological devices. MDPI 2020-05-26 /pmc/articles/PMC7352557/ /pubmed/32466587 http://dx.doi.org/10.3390/cancers12061362 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Coluccio, Maria Laura
Gentile, Francesco
Presta, Ivan
Donato, Giuseppe
Coppedè, Nicola
Valprapuram, Immanuel
Mignogna, Chiara
Lavecchia, Annamaria
Figuccia, Federica
Garo, Virginia M.
Fabrizio, Enzo Di
Candeloro, Patrizio
Viglietto, Giuseppe
Malara, Natalia
Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score
title Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score
title_full Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score
title_fullStr Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score
title_full_unstemmed Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score
title_short Tailoring Chemometric Models on Blood-Derived Cultures Secretome to Assess Personalized Cancer Risk Score
title_sort tailoring chemometric models on blood-derived cultures secretome to assess personalized cancer risk score
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7352557/
https://www.ncbi.nlm.nih.gov/pubmed/32466587
http://dx.doi.org/10.3390/cancers12061362
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