Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.

The aim of our project was to perform an exploratory analysis of the cerebrospinal fluid (CSF) proteomic profiles of Multiple Sclerosis (MS) patients, collected in different phases of their clinical course, in order to investigate the existence of peculiar profiles characterizing the different MS ph...

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Autores principales: Maria Liguori, Antonio Qualtieri, Carla Tortorella, Vita Direnzo, Angelo Bagalà, Mariangela Mastrapasqua, Patrizia Spadafora, Maria Trojano
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Publicado: Public Library of Science (PLoS) 2014
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spelling oai:doaj.org-article:1b6ed861133146cdb321a856a52574252021-11-25T06:05:52ZProteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.1932-620310.1371/journal.pone.0103984https://doaj.org/article/1b6ed861133146cdb321a856a52574252014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/25098164/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203The aim of our project was to perform an exploratory analysis of the cerebrospinal fluid (CSF) proteomic profiles of Multiple Sclerosis (MS) patients, collected in different phases of their clinical course, in order to investigate the existence of peculiar profiles characterizing the different MS phenotypes. The study was carried out on 24 Clinically Isolated Syndrome (CIS), 16 Relapsing Remitting (RR) MS, 11 Progressive (Pr) MS patients. The CSF samples were analysed using the Matrix Assisted Laser Desorption Ionisation Time Of Flight (MALDI-TOF) mass spectrometer in linear mode geometry and in delayed extraction mode (m/z range: 1000-25000 Da). Peak lists were imported for normalization and statistical analysis. CSF data were correlated with demographic, clinical and MRI parameters. The evaluation of MALDI-TOF spectra revealed 348 peak signals with relative intensity ≥ 1% in the study range. The peak intensity of the signals corresponding to Secretogranin II and Protein 7B2 were significantly upregulated in RRMS patients compared to PrMS (p<0.05), whereas the signals of Fibrinogen and Fibrinopeptide A were significantly downregulated in CIS compared to PrMS patients (p<0.04). Additionally, the intensity of the Tymosin β4 peak was the only signal to be significantly discriminated between the CIS and RRMS patients (p = 0.013). Although with caution due to the relatively small size of the study populations, and considering that not all the findings remained significant after adjustment for multiple comparisons, in our opinion this mass spectrometry evaluation confirms that this technique may provide useful and important information to improve our understanding of the complex pathogenesis of MS.Maria LiguoriAntonio QualtieriCarla TortorellaVita DirenzoAngelo BagalàMariangela MastrapasquaPatrizia SpadaforaMaria TrojanoPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 9, Iss 8, p e103984 (2014)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Maria Liguori
Antonio Qualtieri
Carla Tortorella
Vita Direnzo
Angelo Bagalà
Mariangela Mastrapasqua
Patrizia Spadafora
Maria Trojano
Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
description The aim of our project was to perform an exploratory analysis of the cerebrospinal fluid (CSF) proteomic profiles of Multiple Sclerosis (MS) patients, collected in different phases of their clinical course, in order to investigate the existence of peculiar profiles characterizing the different MS phenotypes. The study was carried out on 24 Clinically Isolated Syndrome (CIS), 16 Relapsing Remitting (RR) MS, 11 Progressive (Pr) MS patients. The CSF samples were analysed using the Matrix Assisted Laser Desorption Ionisation Time Of Flight (MALDI-TOF) mass spectrometer in linear mode geometry and in delayed extraction mode (m/z range: 1000-25000 Da). Peak lists were imported for normalization and statistical analysis. CSF data were correlated with demographic, clinical and MRI parameters. The evaluation of MALDI-TOF spectra revealed 348 peak signals with relative intensity ≥ 1% in the study range. The peak intensity of the signals corresponding to Secretogranin II and Protein 7B2 were significantly upregulated in RRMS patients compared to PrMS (p<0.05), whereas the signals of Fibrinogen and Fibrinopeptide A were significantly downregulated in CIS compared to PrMS patients (p<0.04). Additionally, the intensity of the Tymosin β4 peak was the only signal to be significantly discriminated between the CIS and RRMS patients (p = 0.013). Although with caution due to the relatively small size of the study populations, and considering that not all the findings remained significant after adjustment for multiple comparisons, in our opinion this mass spectrometry evaluation confirms that this technique may provide useful and important information to improve our understanding of the complex pathogenesis of MS.
format article
author Maria Liguori
Antonio Qualtieri
Carla Tortorella
Vita Direnzo
Angelo Bagalà
Mariangela Mastrapasqua
Patrizia Spadafora
Maria Trojano
author_facet Maria Liguori
Antonio Qualtieri
Carla Tortorella
Vita Direnzo
Angelo Bagalà
Mariangela Mastrapasqua
Patrizia Spadafora
Maria Trojano
author_sort Maria Liguori
title Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
title_short Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
title_full Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
title_fullStr Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
title_full_unstemmed Proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
title_sort proteomic profiling in multiple sclerosis clinical courses reveals potential biomarkers of neurodegeneration.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/1b6ed861133146cdb321a856a5257425
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