Cargando…
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...
Autores principales: | , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783557665807400960 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7352557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT colucciomarialaura tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT gentilefrancesco tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT prestaivan tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT donatogiuseppe tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT coppedenicola tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT valprapuramimmanuel tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT mignognachiara tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT lavecchiaannamaria tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT figucciafederica tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT garovirginiam tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT fabrizioenzodi tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT candeloropatrizio tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT vigliettogiuseppe tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore AT malaranatalia tailoringchemometricmodelsonbloodderivedculturessecretometoassesspersonalizedcancerriskscore |