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Peterka M, Valis M, Soucek O, Krejsek J, Sobisek L, Sejkorova I, Klimova B, Stourac P, Pavelek Z, Novotny M. Interferon Beta-1a versus Glatiramer Acetate: Changes of Innate Immunity in a Group of Women with Multiple Sclerosis. Eur Neurol 2023; 86:334-340. [PMID: 37473734 PMCID: PMC10623392 DOI: 10.1159/000532022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 07/03/2023] [Indexed: 07/22/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic inflammatory autoimmune demyelinating disease that secondarily leads to axonal loss and associated brain atrophy. Disease-modifying drugs (DMDs) have previously been studied for their ability to affect specific immunity. This study investigates the effect of interferon beta-1a (INF) and glatiramer acetate (GA) administration on changes in innate immunity cell populations. METHODS Sixty Caucasian female patients with relapsing-remitting MS undergo blood sample testing for 15 blood parameters at baseline, 1 month, 3 months, and 6 months after treatment by GA or IFN (started as their first-line DMD). RESULTS A statistically significant difference in the change after 6 months was found in the parameter monocytes (relative count) in the group of patients treated with IFN. The median increase was 27.8%. Changes in many of the other 15 parameters studied were 10-20%. CONCLUSION Innate immunity has long been neglected in MS immunopathology. The findings suggest that IFN treatment may modulate the immune response in MS by affecting monocyte function and may provide insight into the mechanisms of action of IFN in MS.
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Affiliation(s)
- Marek Peterka
- Department of Neurology, Faculty of Medicine and University Hospital Plzen, Charles University in Prague, Plzen, Czech Republic
| | - Martin Valis
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ondrej Soucek
- Department of Clinical Immunology and Allergology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Jan Krejsek
- Department of Clinical Immunology and Allergology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Lukáš Sobisek
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Ilona Sejkorova
- Department of Clinical Immunology and Allergology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Blanka Klimova
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
| | - Pavel Stourac
- Department of Neurology, Masaryk University, Faculty of Medicine and University Brno, Brno, Czech Republic
| | - Zbysek Pavelek
- Department of Neurology, Faculty of Medicine and University Hospital Plzen, Charles University in Prague, Plzen, Czech Republic
| | - Michal Novotny
- Department of Neurology, Charles University, Faculty of Medicine and University Hospital Hradec Kralove, Hradec Kralove, Czech Republic
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Pavelek Z, Soucek O, Krejsek J, Sejkorova I, Vysata O, Klimová B, Angelucci F, Stourac P, Valis M, Peterka M, Sobisek L, Novotny M. Assessment of Functional Capacity of Immune System in Patients with Multiple Sclerosis using QuantiFERON Monitor. J Immunol Res 2023; 2023:4653627. [PMID: 37064009 PMCID: PMC10104739 DOI: 10.1155/2023/4653627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 02/19/2023] [Accepted: 02/28/2023] [Indexed: 04/18/2023] Open
Abstract
Background The QuantiFERON®-Monitor (QFM) is an assay that measures interferon-γ production and was developed to provide an objective marker of complex immune response. In this study, we evaluated the use of the QFM test in patients with two forms of multiple sclerosis (MS), relapsing-remitting form treated with fingolimod (fMS) and secondarily progressive form not treated pharmacologically (pMS), and in healthy controls (HC). We hypothesized that IFN-γ levels would be lower in those subjects who are relatively more immunosuppressed and higher in those with normal or activated immune function. Methods This single-center observational study was conducted from November 2020 to October 2021 and compared results in three groups of patients: 86 healthy controls, 96 patients with pMS, and 78 fMS. Combination of lyophilized stimulants was added to 1 ml heparinized whole blood within 8 hr of collection. Plasmatic IFN-γ was measured using the ELISA kit for the QFM and data were obtained in IU/ml. Results The results showed that controls had nearly 2-fold higher levels of IFN-γ (QFM score) in median (q25, q75) 228.00 (112.20, 358.67) than the MS patient groups: pMS 144.80 (31.23, 302.00); fMS 130.50 (39.95, 217.07) which is statistically significant difference P-value: HC vs. pMS = 0.0071; HC vs. fMS = 0.0468. This result was also confirmed by a validation analysis to exclude impact of variable factors, such as disease duration and Expanded Disability Status Scale scores. Conclusions Results showed that controls had higher levels of IFN-γ production than the MS patient groups and suggest that MS patients included in this study have a lower ability of immune system activation than HC. Results confirm that fingolimod is able to suppress production of IFN-γ. The fact that the QFM score of MS patients is significantly lower than that of HC may indicate a dysfunctional state of the immune system in baseline conditions.
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Affiliation(s)
- Zbysek Pavelek
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Ondrej Soucek
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Jan Krejsek
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Ilona Sejkorova
- Department of Clinical Immunology and Allergology, University Hospital Hradec Králové, Hradec Králové, Czech Republic
| | - Oldrich Vysata
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Blanka Klimová
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Francesco Angelucci
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Pavel Stourac
- Department of Neurology, University Hospital and Masaryk University, Brno, Czech Republic
| | - Martin Valis
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Marek Peterka
- Department of Neurology, Faculty of Medicine and University Hospital Plzen, Charles University in Prague, Plzeň, Czech Republic
| | - Lukáš Sobisek
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
| | - Michal Novotny
- Department of Neurology, Faculty of Medicine and University Hospital Hradec Králové, Charles University in Prague, Hradec Králové, Czech Republic
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Burgetova A, Dusek P, Vaneckova M, Horakova D, Langkammer C, Krasensky J, Sobisek L, Matras P, Masek M, Seidl Z. Thalamic Iron Differentiates Primary-Progressive and Relapsing-Remitting Multiple Sclerosis. AJNR Am J Neuroradiol 2017; 38:1079-1086. [PMID: 28450431 DOI: 10.3174/ajnr.a5166] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2016] [Accepted: 01/26/2017] [Indexed: 01/07/2023]
Abstract
BACKGROUND AND PURPOSE Potential differences between primary progressive and relapsing remitting multiple sclerosis are the subject of ongoing controversial discussions. The aim of this work was to determine whether and how primary-progressive and relapsing-remitting multiple sclerosis subtypes differ regarding conventional MR imaging parameters, cerebral iron deposits, and their association with clinical status. MATERIALS AND METHODS We analyzed 24 patients with primary-progressive MS, 80 with relapsing-remitting MS, and 20 healthy controls with 1.5T MR imaging for assessment of the conventional quantitative parameters: T2 lesion load, T1 lesion load, brain parenchymal fraction, and corpus callosum volume. Quantitative susceptibility mapping was performed to estimate iron concentration in the deep gray matter. RESULTS Decreased susceptibility within the thalamus in relapsing-remitting MS compared with primary-progressive MS was the only significant MR imaging difference between these MS subtypes. In the relapsing-remitting MS subgroup, the Expanded Disability Status Scale score was positively associated with conventional parameters reflecting white matter lesions and brain atrophy and with iron in the putamen and caudate nucleus. A positive association with putaminal iron and the Expanded Disability Status Scale score was found in primary-progressive MS. CONCLUSIONS Susceptibility in the thalamus might provide additional support for the differentiation between primary-progressive and relapsing-remitting MS. That the Expanded Disability Status Scale score was associated with conventional MR imaging parameters and iron concentrations in several deep gray matter regions in relapsing-remitting MS, while only a weak association with putaminal iron was observed in primary-progressive MS suggests different driving forces of disability in these MS subtypes.
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Affiliation(s)
- A Burgetova
- From the Departments of Radiology (A.B., M.V., J.K., P.M., M.M., Z.S.)
| | - P Dusek
- Neurology (P.D., D.H.), Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
- Institute of Neuroradiology (P.D.), University Medicine Göttingen, Göttingen, Germany
| | - M Vaneckova
- From the Departments of Radiology (A.B., M.V., J.K., P.M., M.M., Z.S.)
| | - D Horakova
- Neurology (P.D., D.H.), Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital in Prague, Prague, Czech Republic
| | - C Langkammer
- Department of Neurology (C.L.), Medical University of Graz, Graz, Austria
| | - J Krasensky
- From the Departments of Radiology (A.B., M.V., J.K., P.M., M.M., Z.S.)
| | - L Sobisek
- Department of Statistics and Probability (L.S.), University of Economics, Prague, Czech Republic
| | - P Matras
- From the Departments of Radiology (A.B., M.V., J.K., P.M., M.M., Z.S.)
| | - M Masek
- From the Departments of Radiology (A.B., M.V., J.K., P.M., M.M., Z.S.)
| | - Z Seidl
- From the Departments of Radiology (A.B., M.V., J.K., P.M., M.M., Z.S.)
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Uher T, Vaneckova M, Sormani MP, Krasensky J, Sobisek L, Dusankova JB, Seidl Z, Havrdova E, Kalincik T, Benedict RHB, Horakova D. Identification of multiple sclerosis patients at highest risk of cognitive impairment using an integrated brain magnetic resonance imaging assessment approach. Eur J Neurol 2016; 24:292-301. [PMID: 27873386 DOI: 10.1111/ene.13200] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2016] [Accepted: 09/25/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND AND PURPOSE While impaired cognitive performance is common in multiple sclerosis (MS), it has been largely underdiagnosed. Here a magnetic resonance imaging (MRI) screening algorithm is proposed to identify patients at highest risk of cognitive impairment. The objective was to examine whether assessment of lesion burden together with whole brain atrophy on MRI improves our ability to identify cognitively impaired MS patients. METHODS Of the 1253 patients enrolled in the study, 1052 patients with all cognitive, volumetric MRI and clinical data available were included in the analysis. Brain MRI and neuropsychological assessment with the Brief International Cognitive Assessment for Multiple Sclerosis were performed. Multivariable logistic regression and individual prediction analysis were used to investigate the associations between MRI markers and cognitive impairment. The results of the primary analysis were validated at two subsequent time points (months 12 and 24). RESULTS The prevalence of cognitive impairment was greater in patients with low brain parenchymal fraction (BPF) (<0.85) and high T2 lesion volume (T2-LV) (>3.5 ml) than in patients with high BPF (>0.85) and low T2-LV (<3.5 ml), with an odds ratio (OR) of 6.5 (95% CI 4.4-9.5). Low BPF together with high T2-LV identified in 270 (25.7%) patients predicted cognitive impairment with 83% specificity, 82% negative predictive value, 51% sensitivity and 75% overall accuracy. The risk of confirmed cognitive decline over the follow-up was greater in patients with high T2-LV (OR 2.1; 95% CI 1.1-3.8) and low BPF (OR 2.6; 95% CI 1.4-4.7). CONCLUSIONS The integrated MRI assessment of lesion burden and brain atrophy may improve the stratification of MS patients who may benefit from cognitive assessment.
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Affiliation(s)
- T Uher
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - M Vaneckova
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - M P Sormani
- Department of Health Sciences, University of Genoa, Genoa, Italy
| | - J Krasensky
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - L Sobisek
- Department of Statistics and Probability, University of Economics in Prague, Prague, Czech Republic
| | - J Blahova Dusankova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - Z Seidl
- Department of Radiology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - E Havrdova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - T Kalincik
- Department of Medicine, University of Melbourne, Melbourne, Vic., Australia.,Department of Neurology, Royal Melbourne Hospital, Melbourne, Vic., Australia
| | - R H B Benedict
- Department of Neurology, School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - D Horakova
- Department of Neurology and Centre of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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