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Toorop AA, Noteboom S, Steenwijk MD, Gravendeel JW, Jasperse B, Barkhof F, Strijbis EMM, Rispens T, Schoonheim MM, van Kempen ZLE, Killestein J. Exploring the effects of extended interval dosing of natalizumab and drug concentrations on brain atrophy in multiple sclerosis. Mult Scler 2024; 30:266-271. [PMID: 38235514 PMCID: PMC10851624 DOI: 10.1177/13524585231225855] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 12/01/2023] [Accepted: 12/19/2023] [Indexed: 01/19/2024]
Abstract
BACKGROUND Extended interval dosing (EID) of natalizumab treatment is increasingly used in multiple sclerosis. Besides the clear anti-inflammatory effect, natalizumab is considered to have neuroprotective properties as well. OBJECTIVES This study aimed to study the longitudinal effects of EID compared to standard interval dosing (SID) and natalizumab drug concentrations on brain atrophy. METHODS Patients receiving EID or SID of natalizumab with a minimum radiological follow-up of 2 years were included. Changes in brain atrophy measures over time were derived from clinical routine 3D-Fluid Attenuated Inversion Recovery (FLAIR)-weighted magnetic resonance imaging (MRI) scans using SynthSeg. RESULTS We found no differences between EID (n = 32) and SID (n = 50) for whole brain (-0.21% vs -0.16%, p = 0.42), ventricular (1.84% vs 1.13%, p = 0.24), and thalamic (-0.32% vs -0.32%, p = 0.97) annualized volume change over a median follow-up of 3.2 years. No associations between natalizumab drug concentration and brain atrophy rate were found. CONCLUSION We found no clear evidence that EID compared to SID or lower natalizumab drug concentrations have a negative impact on the development of brain atrophy over time.
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Affiliation(s)
- Alyssa A Toorop
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Samantha Noteboom
- MS Center Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Martijn D Steenwijk
- MS Center Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Job W Gravendeel
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Bas Jasperse
- MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Frederik Barkhof
- MS Center Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Eva MM Strijbis
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Theo Rispens
- Biologics Laboratory and Department of Immunopathology, Sanquin Diagnostic Services, Amsterdam, The Netherlands
- Landsteiner Laboratory, Academic Medical Center, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Menno M Schoonheim
- MS Center Amsterdam, Department of Anatomy & Neurosciences, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Zoé LE van Kempen
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Joep Killestein
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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2
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Sammi MK, Fryman A, Baker E, Moloney B, Powers K, West R, Bittner F, Lane M, Martin K, Pepelyayeva Y, Anderson VC, Rooney WD, Yadav V. Vascular disease risk factors in multiple sclerosis: Effect on metabolism and brain volumes. Mult Scler Relat Disord 2023; 74:104675. [PMID: 37121104 PMCID: PMC10560072 DOI: 10.1016/j.msard.2023.104675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Revised: 03/21/2023] [Accepted: 03/26/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Vascular disease risk factors (VDRF) such as hypertension, hyperlipidemia, obesity, diabetes and heart disease likely play a role in disease progression in people with multiple sclerosis (PwMS) (Marrie, Rudick et al. 2010). Studies exploring the mechanistic connection between vascular disease and MS disease progression are scant. We hypothesized that phosphate energy metabolism impairment in PwMS with VDRFs (VDRF+) will be greater compared to PwMS without VDRFs (VDRF-) and is related to increased brain atrophy in VDRF+. To test this hypothesis, we planned to study the differences in the high energy phosphate (HEP) metabolites in cerebral gray matter as assessed by 31P magnetic resonance spectroscopic imaging (MRSI) and MRI brain volumetric in the VDRF+ and VDRF- PwMS at four different timepoints over a 3 yearlong period using a 7T MR system. We present here the results from the cross-sectional evaluation of HEP metabolites and brain volumes. We also evaluated the differences in clinical impairment, blood metabolic biomarkers and quality of life in VDRF+ and VDRF- PwMS in this cohort. METHODS Group differences in high energy phosphate metabolites were assessed from a volume of interest in the occipital region using linear mixed models. Brain parenchymal and white matter lesion volumes were determined from MR anatomic images. We present here the cross-sectional analysis of the baseline data collected as part of a longitudinal 3 yearlong study where we obtained baseline and subsequent 6-monthly clinical and laboratory data and annual 7T MRI volumetric and 31P MR spectroscopic imaging (MRSI) data on 52 PwMS with and without VDRF. Key clinical and laboratory outcomes included: body mass index (BMI), waist and thigh circumferences and disability [Expanded Disability Status Scale (EDSS)], safety (complete blood count with differential, complete metabolic), lipid panel including total cholesterol and HbA1C. We analyzed clinical and laboratory data for the group differences using student's t or χ2 test. We investigated relationship between phosphate metabolites and VDRF using mixed effect linear regression. RESULTS Complete MRI data were available for 29 VDRF+, age 56.3 (6.8) years [mean (SD)] (83% female), and 23 VDRF-, age 52.5 (7.5) years (57% female) individuals with MS. The mean value of normalized adenosine triphosphate (ATP) (calculated as the ratio of ATP to total phosphate signal in a voxel) was decreased by 4.5% (p < .05) in VDRF+ compared to VDRF- MS group. White matter lesion (WML) volume fraction in VDRF+ individuals {0.007 (0.007)} was more than doubled compared to VDRF- participants {0.003 (0.006), p= .02}. CONCLUSIONS We found significantly lower brain ATP and higher inorganic phosphate (Pi) in those PwMS with VDRFs compared to those without. ATP depletion may reflect mitochondrial dysfunction. Ongoing longitudinal data analysis from this study, not presented here, will evaluate the relationship of phosphate metabolites, brain atrophy and disease progression in PwMS with and without vascular disease.
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Affiliation(s)
- Manoj K Sammi
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA.
| | - Allison Fryman
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA; Department of Veterans Affairs MS Center of Excellence-West, Portland, OR, USA
| | - Eric Baker
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Brendan Moloney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Katherine Powers
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Randy West
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Frank Bittner
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Michael Lane
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA; Department of Veterans Affairs MS Center of Excellence-West, Portland, OR, USA
| | - Kayla Martin
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA; Department of Veterans Affairs MS Center of Excellence-West, Portland, OR, USA
| | - Yuliya Pepelyayeva
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA
| | - Valerie C Anderson
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - William D Rooney
- Advanced Imaging Research Center, Oregon Health & Science University, Portland, OR, USA
| | - Vijayshree Yadav
- Department of Neurology, Oregon Health & Science University, Portland, OR, USA; Department of Veterans Affairs MS Center of Excellence-West, Portland, OR, USA.
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van Lierop ZY, Noteboom S, Steenwijk MD, van Dam M, Toorop AA, van Kempen ZLE, Moraal B, Barkhof F, Uitdehaag BM, Schoonheim MM, Teunissen CE, Killestein J. Neurofilament-light and contactin-1 association with long-term brain atrophy in natalizumab-treated relapsing-remitting multiple sclerosis. Mult Scler 2022; 28:2231-2242. [PMID: 36062492 DOI: 10.1177/13524585221118676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Despite highly effective treatment strategies for patients with relapsing-remitting multiple sclerosis (RRMS), long-term neurodegeneration and disease progression are often considerable. Accurate blood-based biomarkers that predict long-term neurodegeneration are lacking. OBJECTIVE To assess the predictive value of serum neurofilament-light (sNfL) and serum contactin-1 (sCNTN1) for long-term magnetic resonance imaging (MRI)-derived neurodegeneration in natalizumab-treated patients with RRMS. METHODS sNfL and sCNTN1 were measured in an observational cohort of natalizumab-treated patients with RRMS at baseline (first dose) and at 3 months, Year 1, Year 2, and last follow-up (median = 5.2 years) of treatment. Disability progression was quantified using "EDSS-plus" criteria. Neurodegeneration was measured by calculating annualized percentage brain, ventricular, and thalamic volume change (PBVC, VVC, and TVC, respectively). Linear regression analysis was performed to identify longitudinal predictors of neurodegeneration. RESULTS In total, 88 patients (age = 37 ± 9 years, 75% female) were included, of whom 48% progressed. Year 1 sNfL level (not baseline or 3 months) was associated with PBVC (standardized (std.) β = -0.26, p = 0.013), VVC (standardized β = 0.36, p < 0.001), and TVC (standardized β = -0.24, p = 0.02). For sCNTN1, only 3-month level was associated with VVC (standardized β = -0.31, p = 0.002). CONCLUSION Year 1 (but not baseline) sNfL level was predictive for long-term brain atrophy in patients treated with natalizumab. sCNTN1 level did not show a clear predictive value.
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Affiliation(s)
- Zoë Ygj van Lierop
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Samantha Noteboom
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Martijn D Steenwijk
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Maureen van Dam
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Alyssa A Toorop
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Zoé LE van Kempen
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Bastiaan Moraal
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Frederik Barkhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands/Queen Square Institute of Neurology and Centre for Medical Image Computing, University College London, London, UK
| | - Bernard Mj Uitdehaag
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
| | - Joep Killestein
- Department of Neurology, Amsterdam UMC, Vrije Universiteit Amsterdam, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam, the Netherlands
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4
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Niiranen M, Koikkalainen J, Lötjönen J, Selander T, Cajanus A, Hartikainen P, Simula S, Vanninen R, Remes AM. Grey matter atrophy in patients with benign multiple sclerosis. Brain Behav 2022; 12:e2679. [PMID: 35765699 PMCID: PMC9304852 DOI: 10.1002/brb3.2679] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/27/2021] [Revised: 04/22/2022] [Accepted: 06/03/2022] [Indexed: 11/08/2022] Open
Abstract
BACKGROUND Brain atrophy appears during the progression of multiple sclerosis (MS) and is associated with the disability caused by the disease. METHODS We investigated global and regional grey matter (GM) and white matter (WM) volumes, WM lesion load, and corpus callosum index (CCI), in benign relapsing-remitting MS (BRRMS, n = 35) with and without any treatment and compared those to aggressive relapsing-remitting MS (ARRMS, n = 46). Structures were analyzed by using an automated MRI quantification tool (cNeuro®). RESULTS The total brain and cerebral WM volumes were larger in BRRMS than in ARRMS (p = .014, p = .017 respectively). In BRRMS, total brain volumes, regional GM volumes, and CCI were found similar whether or not disease-modifying treatment (DMT) was used. The total (p = .033), as well as subcortical (p = .046) and deep WM (p = .041) lesion load volumes were larger in BRRMS patients without DMT. Cortical GM volumes did not differ between BRRMS and ARRMS, but the volumes of total brain tissue (p = .014) and thalami (p = .003) were larger in patients with BRRMS compared to ARRMS. A positive correlation was found between CCI and whole-brain volume in both BRRMS (r = .73, p < .001) and ARRMS (r = .80, p < .01). CONCLUSIONS Thalamic volume is the most prominent measure to differentiate BRRMS and ARRMS. Validation of automated quantification of CCI provides an additional applicable MRI biomarker to detect brain atrophy in MS.
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Affiliation(s)
- Marja Niiranen
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | | | | | - Tuomas Selander
- Science Service Center, Kuopio University Hospital, Kuopio, Finland
| | - Antti Cajanus
- Institute of Clinical Medicine - Neurology, University of Eastern Finland, Kuopio, Finland
| | - Päivi Hartikainen
- Neuro Center, Neurology, Kuopio University Hospital, Kuopio, Finland
| | - Sakari Simula
- Department of Neurology, Mikkeli Central Hospital, Mikkeli, Finland
| | - Ritva Vanninen
- Institute of Clinical Medicine - Radiology, University of Eastern Finland, Kuopio, Finland.,Department of Radiology, Imaging Center, Kuopio University Hospital, Kuopio, Finland
| | - Anne M Remes
- Unit of Clinical Neuroscience, Neurology, University of Oulu, Oulu, Finland.,Medical Research Center, Oulu University Hospital, Oulu, Finland
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5
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Predictive MRI Biomarkers in MS—A Critical Review. Medicina (B Aires) 2022; 58:medicina58030377. [PMID: 35334554 PMCID: PMC8949449 DOI: 10.3390/medicina58030377] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Revised: 02/12/2022] [Accepted: 02/21/2022] [Indexed: 11/16/2022] Open
Abstract
Background and Objectives: In this critical review, we explore the potential use of MRI measurements as prognostic biomarkers in multiple sclerosis (MS) patients, for both conventional measurements and more novel techniques such as magnetization transfer, diffusion tensor, and proton spectroscopy MRI. Materials and Methods: All authors individually and comprehensively reviewed each of the aspects listed below in PubMed, Medline, and Google Scholar. Results: There are numerous MRI metrics that have been proven by clinical studies to hold important prognostic value for MS patients, most of which can be readily obtained from standard 1.5T MRI scans. Conclusions: While some of these parameters have passed the test of time and seem to be associated with a reliable predictive power, some are still better interpreted with caution. We hope this will serve as a reminder of how vast a resource we have on our hands in this versatile tool—it is up to us to make use of it.
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Grahl S, Bussas M, Wiestler B, Eichinger P, Gaser C, Kirschke J, Zimmer C, Berthele A, Hemmer B, Mühlau M. Differential Effects of Fingolimod and Natalizumab on Magnetic Resonance Imaging Measures in Relapsing-Remitting Multiple Sclerosis. Neurotherapeutics 2021; 18:2589-2597. [PMID: 34561843 PMCID: PMC8804113 DOI: 10.1007/s13311-021-01118-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 09/02/2021] [Indexed: 11/24/2022] Open
Abstract
Fingolimod and natalizumab are approved disease-modifying drugs in relapsing-remitting multiple sclerosis (RRMS). The two drugs have different modes of action and may therefore influence different aspects of MS-related tissue damage. In this retrospective cohort study, we longitudinally compared patients treated with fingolimod and patients treated with natalizumab by measures based on structural magnetic resonance imaging (MRI). We included patients with RRMS given that two standardized MRI scans under the same drug were available with an interval of at least 6 months both from therapy start to baseline scan and from baseline scan to follow-up scan. After matching for age, baseline and follow-up scans from 93 patients (fingolimod, 48; natalizumab, 45) were investigated. Mean follow-up time was 1.9 years. We determined the number of new white matter lesions as well as thalamic, cortical, and whole-brain atrophy. After scaling for time of the interscan interval, measures were analyzed by group comparisons and, to account for demographic and clinical characteristics, by multiple regression models and a binary logistic regression model. Compared to natalizumab, fingolimod treatment went along with more new white matter lesions (median [interquartile range, IQR] 0.0 [0.0; 0.7] vs. 0.0 [0.0; 0.0] /year; p < 0.01) whereas whole-brain atrophy was lower (median [IQR] 0.2 [0.0; 0.5] vs. 0.5 [0.2; 1.0] %/year; p = 0.01). These significant differences were confirmed by multiple regression models and the binary logistic regression model. In conclusion, our observation is compatible with stronger neuroprotective properties of fingolimod compared to natalizumab.
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Affiliation(s)
- S Grahl
- Department of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- TUM Neuroimaging, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - M Bussas
- Department of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- TUM Neuroimaging, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - B Wiestler
- Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - P Eichinger
- Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - C Gaser
- Department of Psychiatry and Department of Neurology, Jena University Hospital, Jena, Germany
| | - J Kirschke
- Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - C Zimmer
- Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - A Berthele
- Department of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - B Hemmer
- Department of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Feodor-Lynen-Str. 17, 81377, Munich, Germany
| | - M Mühlau
- Department of Neurology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
- TUM Neuroimaging, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
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Thalamus Atrophy in the Peri-Pregnancy Period in Clinically Stable Multiple Sclerosis Patients: Preliminary Results. Brain Sci 2021; 11:brainsci11101270. [PMID: 34679335 PMCID: PMC8534211 DOI: 10.3390/brainsci11101270] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 09/14/2021] [Accepted: 09/23/2021] [Indexed: 11/22/2022] Open
Abstract
Radiological activity in the post-partum period in MS patients is a well-known phenomenon, but there is no data concerning the influence of pregnancy on regional brain atrophy. The aim of this article was to investigate local brain atrophy in the peri-pregnancy period (PPP) in patients with MS. Thalamic volume (TV); corpus callosum volume (CCV) and classical MRI activity (new gadolinium enhancing lesions (Gd+), new T2 lesions, T1 lesions volume (T1LV) and T2 lesions volume (T2LV)) were analyzed in 12 clinically stable women with relapsing–remitting MS and with MRI performed in the PPP. We showed that there was a significant decrease in TV (p = 0.021) in the PPP. We also observed a significant increase in the T1 lesion volume (p = 0.028), new gadolinium-enhanced and new T2 lesions (in 46% and 77% of the scans, respectively) in the post-partum period. Our results suggest that the PPP in MS may be associated not only with classical MRI activity but, also, with regional brain atrophy.
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Localised Grey Matter Atrophy in Multiple Sclerosis and Clinically Isolated Syndrome-A Coordinate-Based Meta-Analysis, Meta-Analysis of Networks, and Meta-Regression of Voxel-Based Morphometry Studies. Brain Sci 2020; 10:brainsci10110798. [PMID: 33143012 PMCID: PMC7693631 DOI: 10.3390/brainsci10110798] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 10/28/2020] [Accepted: 10/28/2020] [Indexed: 01/04/2023] Open
Abstract
Background: Atrophy of grey matter (GM) is observed in the earliest stages of multiple sclerosis (MS) and is associated with cognitive decline and physical disability. Localised GM atrophy in MS can be explored and better understood using magnetic resonance imaging and voxel-based morphometry (VBM). However, results are difficult to interpret due to methodological differences between studies. Methods: Coordinate-based analysis is a way to find the reliably observable results across multiple independent VBM studies. This work uses coordinate-based meta-analysis, meta-analysis of networks, and meta-regression to summarise the evidence from voxel-based morphometry of regional GM hanges in patients with MS and clinically isolated syndrome (CIS), and whether these measured changes are relatable to clinical features. Results: Thirty-four published articles reporting forty-four independent experiments using VBM for the assessment of GM atrophy between MS or CIS patients and healthy controls were identified. Analysis identified eight clusters of consistent cross-study reporting of localised GM atrophy involving both cortical and subcortical regions. Meta-network analysis identified a network-like pattern indicating that GM loss occurs with some symmetry between hemispheres. Meta-regression analysis indicates a relationship between disease duration or age and the magnitude of reported statistical effect in some deep GM structures. Conclusions: These results suggest consistency in MRI-detectible regional GM loss across multiple MS studies, and the estimated effect sizes and symmetries can help design prospective studies to test specific hypotheses.
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Sugijono SE, Mulyadi R, Firdausia S, Prihartono J, Estiasari R. Corpus callosum index correlates with brain volumetry and disability in multiple sclerosis patients. NEUROSCIENCES (RIYADH, SAUDI ARABIA) 2020; 25:193-199. [PMID: 32683399 PMCID: PMC8015480 DOI: 10.17712/nsj.2020.3.20190093] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2019] [Accepted: 04/15/2020] [Indexed: 11/20/2022]
Abstract
OBJECTIVE To analyze the correlation between corpus callosum index (CCI), brain volumetry, and disability in multiple sclerosis (MS) patients. The brain volumetry consists of the corpus callosum, cortical gray matter, subcortical gray matter, and white matter volumes. METHODS This was a retrospective cross-sectional study from October 2018 to February 2019 of 30 patients with MS aged 20 to 61 years old. Brain volumetry was performed using FreeSurfer software. The CCI were measured manually using conventional best mid-sagittal T1W brain MRI. The anterior, posterior, and medium segments were measured and divided to its greatest anteroposterior diameter. Higher CCI values indicated greater corpus callosum volumes. Clinical evaluation was comprised of MS subtype, age of onset, relapse frequency and Expanded Disability Status Scale (EDSS). RESULTS Thirty MS patients with median of age 22 years were included. Relapsing-remitting (RRMS) subtype were 73.3%. Very significant correlations were shown between the CCI and corpus callosum volume (CCV) (r=0.79; p<0.0001) and cerebral white matter volume (r=0.81; p<0.0001). Significant correlations were shown between the CCI and cortical gray matter volume (r=0.64; p<0.0001) and subcortical gray matter volume (r=0.69; p<0.0001). The CCI was positively correlated with age of onset and inversely with EDSS. The CCV and CCI were smaller in secondary progressive MS (SPMS). CONCLUSION The CCI is easy and fast to obtain in conventional MRI and significantly correlated with brain volumetry, age of onset and disability in MS patients.
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Affiliation(s)
- Stefanus E. Sugijono
- From the Department of Radiology (Sugijono), Division of Neuroradiology (Mulyadi), Department of Radiology, Department of Neurology (Firdausia, Estiasari), Department of Community Medicine (Prihartono), Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
| | - Rahmad Mulyadi
- From the Department of Radiology (Sugijono), Division of Neuroradiology (Mulyadi), Department of Radiology, Department of Neurology (Firdausia, Estiasari), Department of Community Medicine (Prihartono), Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
| | - Salsabila Firdausia
- From the Department of Radiology (Sugijono), Division of Neuroradiology (Mulyadi), Department of Radiology, Department of Neurology (Firdausia, Estiasari), Department of Community Medicine (Prihartono), Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
| | - Joedo Prihartono
- From the Department of Radiology (Sugijono), Division of Neuroradiology (Mulyadi), Department of Radiology, Department of Neurology (Firdausia, Estiasari), Department of Community Medicine (Prihartono), Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
| | - Riwanti Estiasari
- From the Department of Radiology (Sugijono), Division of Neuroradiology (Mulyadi), Department of Radiology, Department of Neurology (Firdausia, Estiasari), Department of Community Medicine (Prihartono), Faculty of Medicine, University of Indonesia, Cipto Mangunkusumo Hospital, Jakarta, Indonesia.
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Preziosa P, Rocca MA, Pagani E, Storelli L, Rodegher M, Moiola L, Filippi M. Two-year regional grey and white matter volume changes with natalizumab and fingolimod. J Neurol Neurosurg Psychiatry 2020; 91:493-502. [PMID: 32111638 DOI: 10.1136/jnnp-2019-322439] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 02/03/2020] [Accepted: 02/04/2020] [Indexed: 02/06/2023]
Abstract
OBJECTIVE To compare the efficacy of fingolimod and natalizumab in preventing regional grey matter (GM) and white matter (WM) atrophy in relapsing-remitting multiple sclerosis (RRMS) over 2 years. METHODS Patients with RRMS starting fingolimod (n=25) or natalizumab (n=30) underwent clinical examination and 3T MRI scans at baseline (month (M) 0), M6, M12 and M24. Seventeen healthy controls were also scanned at M0 and M24. Tensor-based morphometry and SPM12 were used to assess the longitudinal regional GM/WM volume changes. RESULTS At M0, no clinical or GM/WM volume differences were found between treatment groups. At M24, both drugs reduced relapse rate (p<0.001 for both) and stabilised disability. At M6 vs M0, both groups experienced significant atrophy of several areas in the cortex, deep GM nuclei and supratentorial WM. Significant bilateral cerebellar GM and WM atrophy occurred in fingolimod patients only. At M12 vs M6 and M24 vs M12, further supratentorial GM and WM atrophy occurred in both groups. Bilateral GM/WM cerebellar atrophy continued to progress in fingolimod patients only. Compared with natalizumab, fingolimod-treated patients showed a significant cerebellar GM/WM atrophy, mainly at M6 vs M0, but still occurring up to M24. Compared with fingolimod, natalizumab-treated patients had a small number of areas of GM atrophy in temporo-occipital regions at the different time-points. CONCLUSIONS Natalizumab and fingolimod are associated with heterogeneous temporal and regional patterns of GM and WM atrophy progression. Compared with natalizumab, fingolimod-treated patients experience accelerated GM and WM atrophy in the cerebellum, while both drugs show minimal regional volumetric differences in supratentorial regions.
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Affiliation(s)
- Paolo Preziosa
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Elisabetta Pagani
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Loredana Storelli
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Lucia Moiola
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Institute of Experimental Neurology, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy .,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
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11
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Pappolla A, Sánchez F, Caro F, Miguez J, Patrucco L, Cristiano E, Rojas JI. Differential white and gray matter damage in highly active multiple sclerosis: A prospective cohort study. J Clin Neurosci 2020; 74:65-68. [PMID: 32001112 DOI: 10.1016/j.jocn.2020.01.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 01/12/2020] [Indexed: 11/30/2022]
Abstract
We analyze the differential brain volume changes in highly active multiple sclerosis (HAMS) vs. non-HAMS patients during the disease onset. METHODS HAMS was defined as: a) patients with 1 relapse in the previous year and at least 1 T1 gadolinium-enhancing lesion or 9 or more T2 lesions while on therapy with other disease modifying treatment (DMD); or b) patients with 2 or more relapses in the previous year, whether on DMD or not. High-resolution T1 weighted MRI scans were acquired at onset and every 12 months for 2 years. Lesion load and brain volume measurements were determined. At onset, gray matter volume (GMV) and white matter volume (WMV) tissue volumes were calculated using the SIENAX. Longitudinal changes were estimated by using SIENA to calculate the percentage of brain volume loss. Differences between volumes per group at onset and at the end of the follow up were established. RESULTS 64 patients, mean age 38.4 years, 35 (57%) women were included. A total of 14 (21%) were classified as HAMS. At onset, HAMS patients showed lower GMV and WMV volume compared with non-HAMS patients (p = 0.003 and p = 0.01, respectively). During the follow up, HAMS patients showed a higher decrease in GM volume compared with non-HAMS patients (-0.61 vs. - 0.77, p < 0.001) independent from new lesion as well as relapse rate activity during follow up. CONCLUSION HAMS increased rates of GMV atrophy over 24 months compared to non-HAMS patients independent from relapse rate and new T2 lesions.
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Affiliation(s)
- Agustín Pappolla
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Argentina
| | - Francisco Sánchez
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Argentina; Laboratory of Immunomodulators - Center for Pharmacological and Botanical Studies (CEFYBO), School of Medicine, University of Buenos Aires - National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Fiorella Caro
- Laboratory of Immunomodulators - Center for Pharmacological and Botanical Studies (CEFYBO), School of Medicine, University of Buenos Aires - National Scientific and Technical Research Council (CONICET), Buenos Aires, Argentina
| | - Jimena Miguez
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Argentina
| | - Liliana Patrucco
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Argentina
| | - Edgardo Cristiano
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Argentina
| | - Juan Ignacio Rojas
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Argentina.
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12
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Marciniewicz E, Podgórski P, Pawłowski T, Małyszczak K, Fleischer-Stępniewska K, Knysz B, Waliszewska-Prosół M, Żelwetro A, Rymer W, Inglot M, Ejma M, Sąsiadek M, Bladowska J. Evaluation of brain volume alterations in HCV-infected patients after interferon-free therapy: A pilot study. J Neurol Sci 2019; 399:36-43. [PMID: 30769221 DOI: 10.1016/j.jns.2019.02.002] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 01/31/2019] [Accepted: 02/01/2019] [Indexed: 12/20/2022]
Abstract
The study was performed to evaluate cerebral volume changes in HCV-infected subjects before and after interferon-free therapy with direct-acting antiviral agents (DAA). We aimed also to estimate the impact of successful DAA therapy on the neuropsychological state of patients. Eleven HCV genotype 1 (GT1) patients treated with ombitasvir/paritaprevir (boosted with ritonavir) and dasabuvir, with or without ribavirin underwent brain magnetic resonance (MR) before and 24 weeks after completion of therapy. All patients achieved sustained viral response. Precise automatic parcellation was made using the fully-available software FreeSurfer 6.0. Statistically significant volume deceleration six months after treatment was found in the subcallosal cingulate gyrus, transverse frontopolar gyri and sulci, anterior segment of the circular sulcus of the insula and horizontal ramus of the anterior segment of the lateral sulcus. After DAA therapy we found statistically significant improvement in the performance of all three tasks of the Rey Complex Figure Test that permits the evaluation of different functions (attention, planning, working,memory). Additionally, significant amelioration in Percentage Conceptual Level Responses in The Wisconsin Card Sorting Test (a neurocognitive test for assessing intellectual functioning) was also discovered. Successful interferon-free therapy may lead to transient cerebral atrophy, probably by reducing neuroinflammation and oedema. This is the first pilot study of the alterations in brain volume after successful interferon-free therapy in chronic HCV patients. Longitudinal follow-up study is needed to observe further effects of therapy on cerebral structures volume changes.
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Affiliation(s)
- Ewelina Marciniewicz
- Department of General Radiology, Interventional Radiology and Neuroradiology, Radiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
| | - Przemysław Podgórski
- Department of General Radiology, Interventional Radiology and Neuroradiology, Radiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
| | - Tomasz Pawłowski
- Division of Psychotherapy and Psychosomatic Medicine, Department of Psychiatry, Wroclaw Medical University, L. Pasteura 10, 50-367 Wroclaw, Poland.
| | - Krzysztof Małyszczak
- Division of Psychotherapy and Psychosomatic Medicine, Department of Psychiatry, Wroclaw Medical University, L. Pasteura 10, 50-367 Wroclaw, Poland
| | - Katarzyna Fleischer-Stępniewska
- Department of Infectious Diseases, Liver Diseases and Acquired Immune Deficiences, Wroclaw Medical University, Koszarowa 5, 51-149 Wroclaw, Poland
| | - Brygida Knysz
- Department of Infectious Diseases, Liver Diseases and Acquired Immune Deficiences, Wroclaw Medical University, Koszarowa 5, 51-149 Wroclaw, Poland
| | | | - Agnieszka Żelwetro
- The Institute of Psychology, University of Wroclaw, J.W. Dawida 1, 50-527 Wroclaw, Poland
| | - Weronika Rymer
- Department of Infectious Diseases, Liver Diseases and Acquired Immune Deficiences, Wroclaw Medical University, Koszarowa 5, 51-149 Wroclaw, Poland.
| | - Małgorzata Inglot
- Department of Infectious Diseases, Liver Diseases and Acquired Immune Deficiences, Wroclaw Medical University, Koszarowa 5, 51-149 Wroclaw, Poland.
| | - Maria Ejma
- Department of Neurology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
| | - Marek Sąsiadek
- Department of General Radiology, Interventional Radiology and Neuroradiology, Radiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland.
| | - Joanna Bladowska
- Department of General Radiology, Interventional Radiology and Neuroradiology, Radiology, Wroclaw Medical University, Borowska 213, 50-556 Wroclaw, Poland
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