GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35

Multiple sclerosis (MS) still lacks reliable biomarkers of neuroinflammation predictive for disease activity and treatment response. Thus, in a prospective study we assessed 55 MS patients (28 interferon (IFN)-treated, 10 treated with no-IFN therapies, 17 untreated) and 20 matched healthy controls (...

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Main Authors: Roberto De Masi, Stefania Orlando
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Pharmaceuticals
Subjects:
Online Access:https://www.mdpi.com/1424-8247/14/11/1195
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author Roberto De Masi
Stefania Orlando
author_facet Roberto De Masi
Stefania Orlando
author_sort Roberto De Masi
collection DOAJ
description Multiple sclerosis (MS) still lacks reliable biomarkers of neuroinflammation predictive for disease activity and treatment response. Thus, in a prospective study we assessed 55 MS patients (28 interferon (IFN)-treated, 10 treated with no-IFN therapies, 17 untreated) and 20 matched healthy controls (HCs) for the putative correlation of the densitometric expression of glucosidase II alpha subunit (GANAB) with clinical/paraclinical parameters and with interferon-induced protein 35 (IFI35). We also assessed the disease progression in terms of the Rio Score (RS) in order to distinguish the responder patients to IFN therapy (RS = 0) from the non-responder ones (RS ≥ 1). We found GANAB to be 2.51-fold downregulated in the IFN-treated group with respect to the untreated one (<i>p</i> < 0.0001) and 3.39-fold downregulated in responder patients compared to the non-responders (<i>p</i> < 0.0001). GANAB correlated directly with RS (r = 0.8088, <i>p</i> < 0.0001) and lesion load (LL) (r = 0.5824, <i>p</i> = 0.0014) in the IFN-treated group and inversely with disease duration (DD) (r = −0.6081, <i>p</i> = 0.0096) in the untreated one. Lower mean values were expressed for GANAB than IFI35 in IFN responder (<i>p</i> < 0.0001) and higher mean values in the non-responder patients (<i>p</i> = 0.0022). Inverse correlations were also expressed with IFI35 in the overall patient population (r = −0.6468, <i>p</i> < 0.0001). In conclusion, the modular expression of GANAB reflects IFI35, RS, DD, and LL values, making it a biomarker of neuroinflammation that is predictive for disease activity and treatment response in MS.
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spelling doaj.art-cf5ad9c582db4e58845a5c6cfa3c41cd2023-11-23T00:56:42ZengMDPI AGPharmaceuticals1424-82472021-11-011411119510.3390/ph14111195GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35Roberto De Masi0Stefania Orlando1Complex Operative Unit of Neurology, “F. Ferrari” Hospital, Casarano, 73042 Lecce, ItalyLaboratory of Neuroproteomics, Multiple Sclerosis Centre, “F. Ferrari” Hospital, Casarano, 73042 Lecce, ItalyMultiple sclerosis (MS) still lacks reliable biomarkers of neuroinflammation predictive for disease activity and treatment response. Thus, in a prospective study we assessed 55 MS patients (28 interferon (IFN)-treated, 10 treated with no-IFN therapies, 17 untreated) and 20 matched healthy controls (HCs) for the putative correlation of the densitometric expression of glucosidase II alpha subunit (GANAB) with clinical/paraclinical parameters and with interferon-induced protein 35 (IFI35). We also assessed the disease progression in terms of the Rio Score (RS) in order to distinguish the responder patients to IFN therapy (RS = 0) from the non-responder ones (RS ≥ 1). We found GANAB to be 2.51-fold downregulated in the IFN-treated group with respect to the untreated one (<i>p</i> < 0.0001) and 3.39-fold downregulated in responder patients compared to the non-responders (<i>p</i> < 0.0001). GANAB correlated directly with RS (r = 0.8088, <i>p</i> < 0.0001) and lesion load (LL) (r = 0.5824, <i>p</i> = 0.0014) in the IFN-treated group and inversely with disease duration (DD) (r = −0.6081, <i>p</i> = 0.0096) in the untreated one. Lower mean values were expressed for GANAB than IFI35 in IFN responder (<i>p</i> < 0.0001) and higher mean values in the non-responder patients (<i>p</i> = 0.0022). Inverse correlations were also expressed with IFI35 in the overall patient population (r = −0.6468, <i>p</i> < 0.0001). In conclusion, the modular expression of GANAB reflects IFI35, RS, DD, and LL values, making it a biomarker of neuroinflammation that is predictive for disease activity and treatment response in MS.https://www.mdpi.com/1424-8247/14/11/1195GANABIFI35neuroinflammationmultiple sclerosisinterferon
spellingShingle Roberto De Masi
Stefania Orlando
GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35
Pharmaceuticals
GANAB
IFI35
neuroinflammation
multiple sclerosis
interferon
title GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35
title_full GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35
title_fullStr GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35
title_full_unstemmed GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35
title_short GANAB as a Novel Biomarker in Multiple Sclerosis: Correlation with Neuroinflammation and IFI35
title_sort ganab as a novel biomarker in multiple sclerosis correlation with neuroinflammation and ifi35
topic GANAB
IFI35
neuroinflammation
multiple sclerosis
interferon
url https://www.mdpi.com/1424-8247/14/11/1195
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