Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results

Cerebrospinal fluid (CSF) analysis supports diagnosis of neurodegenerative diseases (NDs), however a number of issues limits its potentialities in clinical practice. Here, a newly developed technique for fluid voltammetry, relying on a simple sensor (BIOsensor-based multisensorial system for mimicki...

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Main Authors: Tommaso Schirinzi, Alberto Cordella, Nicola Biagio Mercuri, Arnaldo D’Amico, Andrea Palombi, Alessandro Zompanti, Simone Grasso, Giorgio Pennazza, Marco Santonico
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sensors
Subjects:
CSF
Online Access:https://www.mdpi.com/1424-8220/21/11/3767
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spelling doaj-3d5addad50684742aabf67cd2f99dcec2021-06-01T01:33:12ZengMDPI AGSensors1424-82202021-05-01213767376710.3390/s21113767Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary ResultsTommaso Schirinzi0Alberto Cordella1Nicola Biagio Mercuri2Arnaldo D’Amico3Andrea Palombi4Alessandro Zompanti5Simone Grasso6Giorgio Pennazza7Marco Santonico8Department of Systems Medicine, University of Roma Tor Vergata, 00133 Rome, ItalyIRCCS Fondazione Santa Lucia, Via Ardeatina 306, 00179 Rome, ItalyDepartment of Systems Medicine, University of Roma Tor Vergata, 00133 Rome, ItalyDepartment of Electronic Engineering, University of Roma Tor Vergata, 00133 Rome, ItalyDepartment of Electronic Engineering, University of Roma Tor Vergata, 00133 Rome, ItalyDepartment of Engineering, Campus Bio-Medico, University of Rome Italy, 00128 Rome, ItalyDepartment of Science and Technology for Humans and the Environment, Campus Bio-Medico, University of Rome Italy, 00128 Rome, ItalyDepartment of Engineering, Campus Bio-Medico, University of Rome Italy, 00128 Rome, ItalyDepartment of Science and Technology for Humans and the Environment, Campus Bio-Medico, University of Rome Italy, 00128 Rome, ItalyCerebrospinal fluid (CSF) analysis supports diagnosis of neurodegenerative diseases (NDs), however a number of issues limits its potentialities in clinical practice. Here, a newly developed technique for fluid voltammetry, relying on a simple sensor (BIOsensor-based multisensorial system for mimicking Nose, Tongue and Eyes, BIONOTE), was used to test the applicability for CSF analysis. BIONOTE was initially calibrated on an artificial CSF-like solution and then applied on human CSF, either immediately after collection or after refrigerated storage. Following optimization, it was used to evaluate 11 CSF samples correlating the electrochemical dataset with CSF routine parameters and biomarkers of neurodegeneration. Multivariate data analysis was performed for model elaboration and calibration using principal component analysis and partial least squares discriminant analysis. BIONOTE presented a high capacity to predict both physiological and pathological constituents of artificial CSF. It differentiated distinct fresh human CSF samples well but lost accuracy after refrigerated storage. The electrochemical analysis-derived data correlated with either CSF routine cytochemical indexes or a biomarker of neurodegeneration. BIONOTE resulted as being a reliable system for electrochemical analysis of CSF. The CSF fingerprint provided by the sensor has shown itself to be sensitive to CSF modification, thus it is potentially representative of CSF alteration. This result opens the way to its testing in further study addressed at assessing the clinical relevance of the methodology. Because of its advantages due to the ease and rapidity of the methodology, a validation study is now required to translate the technique into clinical practice and improve diagnostic workup of NDs.https://www.mdpi.com/1424-8220/21/11/3767CSFvoltammetryelectrochemical analysisbiomarkersneurodegenerative diseases
collection DOAJ
language English
format Article
sources DOAJ
author Tommaso Schirinzi
Alberto Cordella
Nicola Biagio Mercuri
Arnaldo D’Amico
Andrea Palombi
Alessandro Zompanti
Simone Grasso
Giorgio Pennazza
Marco Santonico
spellingShingle Tommaso Schirinzi
Alberto Cordella
Nicola Biagio Mercuri
Arnaldo D’Amico
Andrea Palombi
Alessandro Zompanti
Simone Grasso
Giorgio Pennazza
Marco Santonico
Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results
Sensors
CSF
voltammetry
electrochemical analysis
biomarkers
neurodegenerative diseases
author_facet Tommaso Schirinzi
Alberto Cordella
Nicola Biagio Mercuri
Arnaldo D’Amico
Andrea Palombi
Alessandro Zompanti
Simone Grasso
Giorgio Pennazza
Marco Santonico
author_sort Tommaso Schirinzi
title Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results
title_short Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results
title_full Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results
title_fullStr Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results
title_full_unstemmed Design of an Innovative Methodology for Cerebrospinal Fluid Analysis: Preliminary Results
title_sort design of an innovative methodology for cerebrospinal fluid analysis: preliminary results
publisher MDPI AG
series Sensors
issn 1424-8220
publishDate 2021-05-01
description Cerebrospinal fluid (CSF) analysis supports diagnosis of neurodegenerative diseases (NDs), however a number of issues limits its potentialities in clinical practice. Here, a newly developed technique for fluid voltammetry, relying on a simple sensor (BIOsensor-based multisensorial system for mimicking Nose, Tongue and Eyes, BIONOTE), was used to test the applicability for CSF analysis. BIONOTE was initially calibrated on an artificial CSF-like solution and then applied on human CSF, either immediately after collection or after refrigerated storage. Following optimization, it was used to evaluate 11 CSF samples correlating the electrochemical dataset with CSF routine parameters and biomarkers of neurodegeneration. Multivariate data analysis was performed for model elaboration and calibration using principal component analysis and partial least squares discriminant analysis. BIONOTE presented a high capacity to predict both physiological and pathological constituents of artificial CSF. It differentiated distinct fresh human CSF samples well but lost accuracy after refrigerated storage. The electrochemical analysis-derived data correlated with either CSF routine cytochemical indexes or a biomarker of neurodegeneration. BIONOTE resulted as being a reliable system for electrochemical analysis of CSF. The CSF fingerprint provided by the sensor has shown itself to be sensitive to CSF modification, thus it is potentially representative of CSF alteration. This result opens the way to its testing in further study addressed at assessing the clinical relevance of the methodology. Because of its advantages due to the ease and rapidity of the methodology, a validation study is now required to translate the technique into clinical practice and improve diagnostic workup of NDs.
topic CSF
voltammetry
electrochemical analysis
biomarkers
neurodegenerative diseases
url https://www.mdpi.com/1424-8220/21/11/3767
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