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Tranfa M, Scaravilli A, Pastore C, Montella A, Lanzillo R, Kimura M, Jasperse B, Morra VB, Petracca M, Pontillo G, Brunetti A, Cocozza S. The impact of image contrast, resolution and reader expertise on black hole identification in Multiple Sclerosis. Neuroradiology 2024; 66:1345-1352. [PMID: 38374410 DOI: 10.1007/s00234-024-03310-5] [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: 10/03/2023] [Accepted: 02/08/2024] [Indexed: 02/21/2024]
Abstract
OBJECTIVES In the neuroradiological work-up of Multiple Sclerosis (MS), the detection of "black holes" (BH) represent an information of undeniable importance. Nevertheless, different sequences can be used in clinical practice to evaluate BH in MS. Aim of this study was to investigate the possible impact of different sequences, resolutions, and levels of expertise on the intra- and inter-rater reliability identification of BH in MS. METHODS Brain MRI scans of 85 MS patients (M/F = 22/63; mean age = 36.0 ± 10.2 years) were evaluated in this prospective single-center study. The acquisition protocol included a 3 mm SE-T1w sequence, a 1 mm 3D-GrE-T1w sequence from which a resliced 3 mm sequence was also obtained. Images were evaluated independently by two readers of different expertise at baseline and after a wash-out period of 30 days. The intraclass correlation coefficient (ICC) was calculated as an index of intra and inter-reader reliability. RESULTS For both readers, the intra-reader ICC analysis showed that the 3 mm SE-T1w and 3 mm resliced GrE-T1w images achieved an excellent performance (both with an ICC ≥ 0.95), while 1 mm 3D-GrE-T1w scans achieved a moderate one (ICC < 0.90). The inter-reader analysis showed that each of the three sequences achieved a moderate performance (all ICCs < 0.90). CONCLUSIONS The 1 mm 3D-GrE-T1w sequence seems to be prone to a greater intra-reader variability compared to the 3 mm SE-T1w, with this effect being driven by the higher spatial resolution of the first sequence. To ensure reliability levels comparable with the standard SE-T1w in BH count, an assessment on a 3 mm resliced GrE-T1w sequence should be recommended.
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Affiliation(s)
- Mario Tranfa
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Alessandra Scaravilli
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Chiara Pastore
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Alfredo Montella
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Roberta Lanzillo
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Margareth Kimura
- Research Department of Universidade de Uberaba (UNIUBE), Uberaba, Brazil
- Departament of Radiology and Diagnostic Imaging of Universidade Federal Do Triângulo Mineiro (UFTM), Uberaba, Brazil
| | - Bas Jasperse
- Department of Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Vincenzo Brescia Morra
- Department of Neurosciences and Reproductive and Odontostomatological Sciences, University of Naples "Federico II", Naples, Italy
| | - Maria Petracca
- Department of Human Neurosciences, Sapienza University, Rome, Italy
| | - Giuseppe Pontillo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy.
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
| | - Sirio Cocozza
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Via Pansini 5, 80131, Naples, Italy
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Mahmoudi N, Wattjes MP. Treatment Monitoring in Multiple Sclerosis - Efficacy and Safety. Neuroimaging Clin N Am 2024; 34:439-452. [PMID: 38942526 DOI: 10.1016/j.nic.2024.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/30/2024]
Abstract
Magnetic resonance imaging is the most sensitive method for detecting inflammatory activity in multiple sclerosis, particularly in the brain where it reveals subclinical inflammation. Established MRI markers include contrast-enhancing lesions and active T2 lesions. Recent promising markers like slowly expanding lesions and phase rim lesions are being explored for monitoring chronic inflammation, but require further validation for clinical use. Volumetric and quantitative MRI techniques are currently limited to clinical trials and are not yet recommended for routine clinical use. Additionally, MRI is crucial for detecting complications from disease-modifying treatments and for implementing MRI-based pharmacovigilance strategies, such as in patients treated with natalizumab.
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Affiliation(s)
- Nima Mahmoudi
- Department of Diagnostic and Interventional Neuroradiology, Hannover Medical School, Hannover, Germany
| | - Mike P Wattjes
- Department of Neuroradiology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.
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Warszawer Y, Gurevich M, Kerpel A, Dreyer Alster S, Nissan Y, Shirbint E, Hoffmann C, Achiron A. Mapping brain volume change across time in primary-progressive multiple sclerosis. Neuroradiology 2024; 66:1189-1197. [PMID: 38609687 DOI: 10.1007/s00234-024-03354-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 04/05/2024] [Indexed: 04/14/2024]
Abstract
PURPOSE Detection and prediction of the rate of brain volume loss with age is a significant unmet need in patients with primary progressive multiple sclerosis (PPMS). In this study we construct detailed brain volume maps for PPMS patients. These maps compare age-related changes in both cortical and sub-cortical regions with those in healthy individuals. METHODS We conducted retrospective analyses of brain volume using T1-weighted Magnetic Resonance Imaging (MRI) scans of a large cohort of PPMS patients and healthy subjects. The volume of brain parenchyma (BP), cortex, white matter (WM), deep gray matter, thalamus, and cerebellum were measured using the robust SynthSeg segmentation tool. Age- and gender-related regression curves were constructed based on data from healthy subjects, with the 95% prediction interval adopted as the normality threshold for each brain region. RESULTS We analyzed 495 MRI scans from 169 PPMS patients, aged 20-79 years, alongside 563 exams from healthy subjects aged 20-86. Compared to healthy subjects, a higher proportion of PPMS patients showed lower than expected brain volumes in all regions except the cerebellum. The most affected areas were BP, WM, and thalamus. Lower brain volumes correlated with longer disease duration for BP and WM, and higher disability for BP, WM, cortex, and thalamus. CONCLUSIONS Constructing age- and gender-related brain volume maps enabled identifying PPMS patients at a higher risk of brain volume loss. Monitoring these high-risk patients may lead to better treatment decisions and improve patient outcomes.
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Affiliation(s)
- Yehuda Warszawer
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel.
- Arrow Program for Medical Research Education, Sheba Medical Center, Ramat-Gan, Israel.
- Adelson School of Medicine, Ariel University, Ariel, Israel.
| | - Michael Gurevich
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Ariel Kerpel
- Department of Radiology, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | | | - Yael Nissan
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
| | - Emanuel Shirbint
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
| | - Chen Hoffmann
- Department of Radiology, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Anat Achiron
- Multiple Sclerosis Center, Sheba Medical Center, Ramat-Gan, Israel
- Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
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Preziosa P, Rocca MA, Filippi M. Radiologically isolated syndromes: to treat or not to treat? J Neurol 2024; 271:2370-2378. [PMID: 38502339 DOI: 10.1007/s00415-024-12294-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/21/2024]
Abstract
The widespread use of magnetic resonance imaging (MRI) has led to increased detection of individuals exhibiting asymptomatic brain and spinal cord lesions suggestive of multiple sclerosis (MS), defined as "radiologically isolated syndrome" (RIS). Specific criteria have been proposed and updated over time to identify individuals with RIS. Moreover, a younger age, the presence of infratentorial, spinal cord or gadolinium-enhancing lesions, as well as of cerebrospinal fluid-specific oligoclonal bands have been recognized as relevant risk factors for the occurrence of a first clinical event. Recent randomized controlled trials conducted in individuals with RIS have shown that dimethyl fumarate and teriflunomide significantly reduce the occurrence of clinical events in this population. These findings support the notion that early treatment initiation may positively influence the prognosis of these patients. However, several aspects should be taken into account before treating individuals with RIS in the real-world clinical setting, including an accurate identification of individuals with RIS to avoid misdiagnosis, a precise stratification of their risk of experiencing a first clinical event and further data supporting favorable balance between benefits and risks, even in the long term. This commentary provides an overview of the latest updates in RIS diagnosis, prognosis, and emerging treatment evidence.
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Affiliation(s)
- Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Via Olgettina, 60, 20132, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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Desu HL, Sawicka KM, Wuerch E, Kitchin V, Quandt JA. A rapid review of differences in cerebrospinal neurofilament light levels in clinical subtypes of progressive multiple sclerosis. Front Neurol 2024; 15:1382468. [PMID: 38654736 PMCID: PMC11035744 DOI: 10.3389/fneur.2024.1382468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2024] [Accepted: 03/25/2024] [Indexed: 04/26/2024] Open
Abstract
Background Multiple sclerosis (MS) is divided into three clinical phenotypes: relapsing-remitting MS (RRMS), secondary progressive MS (SPMS), and primary progressive MS (PPMS). It is unknown to what extent SPMS and PPMS pathophysiology share inflammatory or neurodegenerative pathological processes. Cerebrospinal (CSF) neurofilament light (NfL) has been broadly studied in different MS phenotypes and is a candidate biomarker for comparing MS subtypes. Research question Are CSF NfL levels different among clinical subtypes of progressive MS? Methods A search strategy identifying original research investigating fluid neurodegenerative biomarkers in progressive forms of MS between 2010 and 2022 was applied to Medline. Identified articles underwent title and abstract screen and full text review against pre-specified criteria. Data abstraction was limited to studies that measured NfL levels in the CSF. Reported statistical comparisons of NfL levels between clinical phenotypes were abstracted qualitatively. Results 18 studies that focused on investigating direct comparisons of CSF NfL from people with MS were included in the final report. We found NfL levels were typically reported to be higher in relapsing and progressive MS compared to healthy controls. Notably, higher NfL levels were not clearly associated with progressive MS subtypes when compared to relapsing MS, and there was no observed difference in NfL levels between PPMS and SPMS in articles that separately assessed these phenotypes. Conclusion CSF NfL levels distinguish individuals with MS from healthy controls but do not differentiate MS subtypes. Broad biological phenotyping is needed to overcome limitations of current clinical phenotyping and improve biomarker translatability to decision-making in the clinic.
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Affiliation(s)
- Haritha L. Desu
- Neuroimmunology Unit, Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM), Montreal, QC, Canada
- Department of Neurosciences, Université de Montréal, Montreal, QC, Canada
| | - Katherine M. Sawicka
- Child Health Evaluative Sciences Program, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada
- Department of Medicine, Division of Neurology, University of Toronto, Toronto, ON, Canada
- Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada
| | - Emily Wuerch
- Hotchkiss Brain Institute and the Department of Clinical Neuroscience, University of Calgary, Calgary, AB, Canada
| | - Vanessa Kitchin
- University of British Columbia Library, Vancouver, BC, Canada
| | - Jacqueline A. Quandt
- Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada
- Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, BC, Canada
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Pelletier J, Sugar D, Koyfman A, Long B. Multiple Sclerosis: An Emergency Medicine-Focused Narrative Review. J Emerg Med 2024; 66:e441-e456. [PMID: 38472027 DOI: 10.1016/j.jemermed.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 11/15/2023] [Accepted: 12/11/2023] [Indexed: 03/14/2024]
Abstract
BACKGROUND Multiple sclerosis (MS) is a rare but serious condition associated with significant morbidity. OBJECTIVE This review provides a focused assessment of MS for emergency clinicians, including the presentation, evaluation, and emergency department (ED) management based on current evidence. DISCUSSION MS is an autoimmune disorder targeting the central nervous system (CNS), characterized by clinical relapses and radiological lesions disseminated in time and location. Patients with MS most commonly present with long tract signs (e.g., myelopathy, asymmetric spastic paraplegia, urinary dysfunction, Lhermitte's sign), optic neuritis, or brainstem syndromes (bilateral internuclear ophthalmoplegia). Cortical syndromes or multifocal presentations are less common. Radiologically isolated syndrome and clinically isolated syndrome (CIS) may or may not progress to chronic forms of MS, including relapsing remitting MS, primary progressive MS, and secondary progressive MS. The foundation of outpatient management involves disease-modifying therapy, which is typically initiated with the first signs of disease onset. Management of CIS and acute flares of MS in the ED includes corticosteroid therapy, ideally after diagnostic testing with imaging and lumbar puncture for cerebrospinal fluid analysis. Emergency clinicians should evaluate whether patients with MS are presenting with new-onset debilitating neurological symptoms to avoid unnecessary testing and admissions, but failure to appropriately diagnose CIS or MS flare is associated with increased morbidity. CONCLUSIONS An understanding of MS can assist emergency clinicians in better diagnosing and managing this neurologically devastating disease.
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Affiliation(s)
- Jessica Pelletier
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri
| | - Davis Sugar
- Department of Neurology, Virginia Tech Carilion, Roanoke, Virginia
| | - Alex Koyfman
- Department of Emergency Medicine, University of Texas Southwestern, Dallas, Texas
| | - Brit Long
- SAUSHEC (San Antonio Uniformed Services Health Education Consortium), Department of Emergency Medicine, Brooke Army Medical Center, Fort Sam Houston, Texas
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Fujimori J, Nakashima I. Early-stage volume losses in the corpus callosum and thalamus predict the progression of brain atrophy in patients with multiple sclerosis. J Neuroimmunol 2024; 387:578280. [PMID: 38171046 DOI: 10.1016/j.jneuroim.2023.578280] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 12/20/2023] [Accepted: 12/28/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND A method that can be used in the early stage of multiple sclerosis (MS) to predict the progression of brain volume loss (BVL) has not been fully established. METHODS To develop a method of predicting progressive BVL in patients with MS (pwMS), eighty-two consecutive Japanese pwMS-with either relapsing-remitting MS (86%) or secondary progressive MS (14%)-and 41 healthy controls were included in this longitudinal retrospective analysis over an observational period of approximately 3.5 years. Using a hierarchical cluster analysis with multivariate imaging data obtained by FreeSurfer analysis, we classified the pwMS into clusters. RESULTS At baseline and follow-up, pwMS were cross-sectionally classified into three major clusters (Clusters 1, 2, and 3) in ascending order by disability and BVL. Among the patients included in Cluster 1 at baseline, approximately one-third of patients (12/52) transitioned into Cluster 2 at follow-up. The volumes of the corpus callosum, the thalamus, and the whole brain excluding the ventricles were significantly decreased in the transition group compared with the nontransition group and were found to be the most important predictors of transition. CONCLUSION Decreased volumes of the corpus callosum and thalamus in the relatively early stage of MS may predict the development of BVL.
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Affiliation(s)
- Juichi Fujimori
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan.
| | - Ichiro Nakashima
- Division of Neurology, Tohoku Medical and Pharmaceutical University, Sendai, Japan
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Carlson AK, Fox RJ. Pathophysiology, Diagnosis, Treatment and Emerging Neurotherapeutic Targets for Progressive Multiple Sclerosis: The Age of PIRA. Neurol Clin 2024; 42:39-54. [PMID: 37980122 DOI: 10.1016/j.ncl.2023.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
More than one million individuals are impacted by progressive forms of multiple sclerosis. The literature examining the management of MS has focused primarily on relapsing forms of disease, and effective therapies targeting progressive mechanisms in MS remains a significant unmet need. Despite this, there are several encouraging potential therapeutics on the horizon. Improved understanding of mechanisms underlying MS progression, identification and validation of biomarkers, identification of novel therapeutic targets, and improved trial design are needed to further propel progress in the management of individuals with progressive forms of MS.
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Affiliation(s)
- Alise K Carlson
- Cleveland Clinic Mellen Center, 9500 Euclid Avenue U10, Cleveland, OH 44195, USA
| | - Robert J Fox
- Cleveland Clinic Mellen Center, 9500 Euclid Avenue U10, Cleveland, OH 44195, USA.
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Midaglia L, Rovira A, Miró B, Río J, Fissolo N, Castilló J, Sánchez A, Montalban X, Comabella M. Association of magnetic resonance imaging phenotypes and serum biomarker levels with treatment response and long-term disease outcomes in multiple sclerosis patients. Eur J Neurol 2024; 31:e16077. [PMID: 37754568 PMCID: PMC11235849 DOI: 10.1111/ene.16077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Revised: 06/02/2023] [Accepted: 09/07/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND AND PURPOSE The aim was to evaluate whether magnetic resonance imaging (MRI) phenotypes defined by inflammation and neurodegeneration markers correlate with serum levels of neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) in relapsing-remitting multiple sclerosis (RRMS) patients; and to explore the role of radiological phenotypes and biomarker levels on treatment response and long-term prognostic outcomes. METHODS Magnetic resonance imaging scans from 80 RRMS patients were classified at baseline of interferon-beta (IFNβ) treatment into radiological phenotypes defined by high and low inflammation and high and low neurodegeneration, based on the number of contrast-enhancing lesions, brain parenchymal fraction and the relative volume of non-enhancing black holes on T1-weighted images. Serum levels of NfL and GFAP were measured at baseline with single molecule array (Simoa) assays. MRI phenotypes and serum biomarker levels were investigated for their association with IFNβ response, and times to second-line therapies, secondary-progressive MS (SPMS) conversion and Expanded Disability Status Scale (EDSS) 6.0. RESULTS Mean (SD) follow-up was 17 (2.9) years. Serum NfL levels and GFAP were higher in the high inflammation (p = 0.04) and high neurodegeneration phenotypes (p = 0.03), respectively. The high inflammation phenotype was associated with poor response to IFNβ treatment (p = 0.04) and with shorter time to second-line therapies (p = 0.04). In contrast, the high neurodegeneration phenotype was associated with shorter time to SPMS (p = 0.006) and a trend towards shorter time to EDSS 6.0 (p = 0.09). High serum NfL levels were associated with poor response to IFNβ treatment (p = 0.004). CONCLUSIONS Magnetic resonance imaging phenotypes defined by inflammation and neurodegeneration correlate with serum biomarker levels, and both have prognostic implications in treatment response and long-term disease outcomes.
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Affiliation(s)
- Luciana Midaglia
- Servei de Neurologia‐Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Berta Miró
- Unitat d'Estadística i BioinformàticaInstitut de Recerca Vall d'Hebron (VHIR)BarcelonaSpain
| | - Jordi Río
- Servei de Neurologia‐Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Nicolás Fissolo
- Servei de Neurologia‐Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Joaquín Castilló
- Servei de Neurologia‐Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Alex Sánchez
- Unitat d'Estadística i BioinformàticaInstitut de Recerca Vall d'Hebron (VHIR)BarcelonaSpain
| | - Xavier Montalban
- Servei de Neurologia‐Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
| | - Manuel Comabella
- Servei de Neurologia‐Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Institut de Recerca Vall d'Hebron (VHIR), Hospital Universitari Vall d'HebronUniversitat Autònoma de BarcelonaBarcelonaSpain
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Harding-Forrester S, Roos I, Nguyen AL, Malpas CB, Diouf I, Moradi N, Sharmin S, Izquierdo G, Eichau S, Patti F, Horakova D, Kubala Havrdova E, Prat A, Girard M, Duquette P, Grand'Maison F, Onofrj M, Lugaresi A, Grammond P, Ozakbas S, Amato MP, Gerlach O, Sola P, Ferraro D, Buzzard K, Skibina O, Lechner-Scott J, Alroughani R, Boz C, Van Pesch V, Cartechini E, Terzi M, Maimone D, Ramo-Tello C, Yamout B, Khoury SJ, La Spitaleri D, Sa MJ, Blanco Y, Granella F, Slee M, Butler E, Sidhom Y, Gouider R, Bergamaschi R, Karabudak R, Ampapa R, Sánchez-Menoyo JL, Prevost J, Castillo-Trivino T, McCombe PA, Macdonell R, Laureys G, Van Hijfte L, Oh J, Altintas A, de Gans K, Turkoglu R, van der Walt A, Butzkueven H, Vucic S, Barnett M, Cristiano E, Hodgkinson S, Iuliano G, Kappos L, Kuhle J, Shaygannejad V, Soysal A, Weinstock-Guttman B, Van Wijmeersch B, Kalincik T. Disability accrual in primary and secondary progressive multiple sclerosis. J Neurol Neurosurg Psychiatry 2023; 94:707-717. [PMID: 37068931 DOI: 10.1136/jnnp-2022-330726] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/29/2023] [Indexed: 04/19/2023]
Abstract
BACKGROUND Some studies comparing primary and secondary progressive multiple sclerosis (PPMS, SPMS) report similar ages at onset of the progressive phase and similar rates of subsequent disability accrual. Others report later onset and/or faster accrual in SPMS. Comparisons have been complicated by regional cohort effects, phenotypic differences in sex ratio and management and variable diagnostic criteria for SPMS. METHODS We compared disability accrual in PPMS and operationally diagnosed SPMS in the international, clinic-based MSBase cohort. Inclusion required PPMS or SPMS with onset at age ≥18 years since 1995. We estimated Andersen-Gill hazard ratios for disability accrual on the Expanded Disability Status Scale (EDSS), adjusted for sex, age, baseline disability, EDSS score frequency and drug therapies, with centre and patient as random effects. We also estimated ages at onset of the progressive phase (Kaplan-Meier) and at EDSS milestones (Turnbull). Analyses were replicated with physician-diagnosed SPMS. RESULTS Included patients comprised 1872 with PPMS (47% men; 50% with activity) and 2575 with SPMS (32% men; 40% with activity). Relative to PPMS, SPMS had older age at onset of the progressive phase (median 46.7 years (95% CI 46.2-47.3) vs 43.9 (43.3-44.4); p<0.001), greater baseline disability, slower disability accrual (HR 0.86 (0.78-0.94); p<0.001) and similar age at wheelchair dependence. CONCLUSIONS We demonstrate later onset of the progressive phase and slower disability accrual in SPMS versus PPMS. This may balance greater baseline disability in SPMS, yielding convergent disability trajectories across phenotypes. The different rates of disability accrual should be considered before amalgamating PPMS and SPMS in clinical trials.
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Affiliation(s)
- Sam Harding-Forrester
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
| | - Izanne Roos
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ai-Lan Nguyen
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Charles B Malpas
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Ibrahima Diouf
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Nahid Moradi
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Sifat Sharmin
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
| | - Guillermo Izquierdo
- Multiple Sclerosis Unit, Hospital Universitario Virgen Macarena, Sevilla, Andalucía, Spain
| | - Sara Eichau
- Multiple Sclerosis Unit, Hospital Universitario Virgen Macarena, Sevilla, Andalucía, Spain
| | - Francesco Patti
- Neuroscience, Department of Surgical and Medical Sciences and Advanced Technologies 'G.F. Ingrassia', University of Catania, Catania, Italy
| | - Dana Horakova
- Department of Neurology and Centre of Clinical Neuroscience, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Centre of Clinical Neuroscience, Charles University First Faculty of Medicine, Praha, Czech Republic
| | - Alexandre Prat
- Centre Hospitalier, Université de Montréal, Montreal, Québec, Canada
- Department of Neuroscience, Université de Montréal, Montreal, Québec, Canada
| | - Marc Girard
- Centre Hospitalier, Université de Montréal, Montreal, Québec, Canada
- Faculté de Médecine, Université de Montréal, Montreal, Québec, Canada
| | - Pierre Duquette
- Centre Hospitalier, Université de Montréal, Montreal, Québec, Canada
- Faculté de Médecine, Université de Montréal, Montreal, Québec, Canada
| | | | - Marco Onofrj
- Department of Neurosciences, Imaging and Clinical Sciences, Gabriele d'Annunzio University of Chieti-Pescara, Chieti, Italy
| | - Alessandra Lugaresi
- UOSI Riabilitazione Sclerosi Multipla, IRCCS Istituto delle Scienze Neurologiche di Bologna, Bologna, Italy
- Dipartimento di Scienze Biomediche e Neuromotorie, Università di Bologna, Bologna, Italy
| | - Pierre Grammond
- Centre intégré de santé et de services sociaux de Chaudière-Appalaches du Québec Centre de Recherche, Levis, Québec, Canada
| | - Serkan Ozakbas
- Department of Neurology, Dokuz Eylul University, İzmir, Turkey
| | - Maria Pia Amato
- Department of Neurological Siences, University of Florence, Florence, Italy
- IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Oliver Gerlach
- Department of Neurology, Zuyderland Medical Centre, Sittard-Geleen, The Netherlands
| | - Patrizia Sola
- Neurology Unit, Azienda Ospedaliero-Universitaria of Modena, Modena, Italy
| | - Diana Ferraro
- Department of Neuroscience, Azienda Ospedaliero-Universitaria di Modena, Modena, Emilia-Romagna, Italy
- Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Katherine Buzzard
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
| | - Olga Skibina
- Department of Neurology, Box Hill Hospital, Box Hill, Victoria, Australia
| | - Jeannette Lechner-Scott
- School of Medicine and Public Health, The University of Newcastle, Callaghan, New South Wales, Australia
- Department of Neurology, John Hunter Hospital, Newcastle, New South Wales, Australia
| | - Raed Alroughani
- Department of Medicine, Al-Amiri Hospital, Kuwait City, Kuwait
| | - Cavit Boz
- Department of Neurology, Karadeniz Technical University, Trabzon, Turkey
| | - Vincent Van Pesch
- Department of Neurology, Cliniques Universitaires Saint-Luc, Brussels, Belgium
| | | | | | | | - Cristina Ramo-Tello
- Department of Neurosciences, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain
| | - Bassem Yamout
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
- Department of Neurology, American University of Beirut, Beirut, Lebanon
| | - Samia Joseph Khoury
- Nehme and Therese Tohme Multiple Sclerosis Center, American University of Beirut Medical Center, Beirut, Lebanon
- American University of Beirut, Beirut, Lebanon
| | | | - Maria Jose Sa
- Department of Neurology, Centro Hospitalar de São João, Porto, Portugal
- Health Sciences Faculty, Fernando Pessoa University, Porto, Portugal
| | - Yolanda Blanco
- Hospital Clinic de Barcelona, Barcelona, Catalunya, Spain
| | - Franco Granella
- Multiple Sclerosis Centre, Neurosciences, University of Parma, Parma, Italy
| | - Mark Slee
- Department of Neurology, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Ernest Butler
- Department of Neurology, Monash Medical Centre Clayton, Clayton, Victoria, Australia
| | - Youssef Sidhom
- Department of Neurology, Hopital Razi, La Manouba, Tunisia
| | - Riadh Gouider
- Department of Neurology, Razi Hospital, Rasht, Gilan, Iran
| | | | - Rana Karabudak
- Department of Neurology, Hacettepe University Faculty of Medicine, Ankara, Turkey
| | - Radek Ampapa
- Department of Neurology, Nemocnice Jihlava, Jihlava, Czech Republic
| | | | - Julie Prevost
- Centre integre de sante et de services sociaux des Laurentides point de service de Saint-Jerome, Saint-Jerome, Quebec, Canada
| | | | - Pamela A McCombe
- UQCCR, The University of Queensland, Saint Lucia, Queensland, Australia
| | - Richard Macdonell
- Department of Neurology, Austin Health, Heidelberg, Victoria, Australia
| | - Guy Laureys
- Department of Neurology, University Hospital Ghent, Gent, Oost-Vlaanderen, Belgium
| | - Liesbeth Van Hijfte
- Department of Neurology, University Hospital Ghent, Gent, Oost-Vlaanderen, Belgium
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St Michael's Hospital, Toronto, Ontario, Canada
| | - Ayse Altintas
- Department of Neurology, Koc Universitesi, Istanbul, Turkey
- Koç University Research Center for Translational Medicine (KUTTAM), Koç University, Istanbul, Turkey
| | - Koen de Gans
- Department of Neurology, Groene Hart Ziekenhuis, Gouda, Zuid-Holland, The Netherlands
| | - Recai Turkoglu
- Department of Neurology, Haydarpasa Numune Training and Research Hospital, Istanbul, Turkey
| | - Anneke van der Walt
- Multiple Sclerosis and Neuroimmunology Unit, Monash University Central Clinical School, Melbourne, Victoria, Australia
| | - Helmut Butzkueven
- Department of Neuroscience, Monash University Central Clinical School, Melbourne, Victoria, Australia
- Department of Neurology, The Alfred, Melbourne, Victoria, Australia
| | - Steve Vucic
- Department of Neurology, Westmead Hospital, Westmead, New South Wales, Australia
| | - Michael Barnett
- Brain and Mind Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Edgardo Cristiano
- Centro de Esclerosis Múltiple de Buenos Aires, Hospital Italiano de Buenos Aires, Buenos Aires, Federal District, Argentina
| | - Suzanne Hodgkinson
- Department of Neurology, Liverpool Hospital, Liverpool, New South Wales, Australia
| | | | - Ludwig Kappos
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine, and Clinical Research, University Hospital Basel, Basel, Switzerland
- Research Centre for Clinical Neuroimmunology and Neuroscience, University Hospital Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine, and Clinical Research, University Hospital Basel, Basel, Switzerland
- Research Centre for Clinical Neuroimmunology and Neuroscience, University Hospital Basel, Basel, Switzerland
| | - Vahid Shaygannejad
- Department of Neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Aysun Soysal
- Department of Neurology, Bakirkoy Research and Training Hospital for Psychiatry, Neurology and Neurosurgery, Istanbul, Turkey
| | - Bianca Weinstock-Guttman
- Department of Neurology, University at Buffalo Jacobs School of Medicine and Biomedical Sciences, Buffalo, New York, USA
| | - Bart Van Wijmeersch
- Universitair MS Centrum, Hasselt University, Hasselt-Pelt, Belgium
- Rehabilitation & MS Centre, Pelt, Belgium
| | - Tomas Kalincik
- CORe, Department of Medicine, The University of Melbourne, Melbourne, Victoria, Australia
- Neuroimmunology Centre, Department of Neurology, The Royal Melbourne Hospital, Parkville, Victoria, Australia
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11
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Pietroboni AM, Colombi A, Contarino VE, Russo FML, Conte G, Morabito A, Siggillino S, Carandini T, Fenoglio C, Arighi A, De Riz MA, Arcaro M, Sacchi L, Fumagalli GG, Bianchi AM, Triulzi F, Scarpini E, Galimberti D. Quantitative susceptibility mapping of the normal-appearing white matter as a potential new marker of disability progression in multiple sclerosis. Eur Radiol 2023; 33:5368-5377. [PMID: 36562783 DOI: 10.1007/s00330-022-09338-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 10/03/2022] [Accepted: 11/29/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To investigate the normal-appearing white matter (NAWM) susceptibility in a cohort of newly diagnosed multiple sclerosis (MS) patients and to evaluate possible correlations between NAWM susceptibility and disability progression. METHODS Fifty-nine patients with a diagnosis of MS (n = 53) or clinically isolated syndrome (CIS) (n = 6) were recruited and followed up. All participants underwent neurological examination, blood sampling for serum neurofilament light chain (sNfL) level assessment, lumbar puncture for the quantification of cerebrospinal fluid (CSF) β-amyloid1-42 (Aβ) levels, and brain MRI. T2-weighted scans were used to quantify white matter (WM) lesion loads. For each scan, we derived the NAWM volume fraction and the WM lesion volume fraction. Quantitative susceptibility mapping (QSM) of the NAWM was calculated using the susceptibility tensor imaging (STI) suite. Susceptibility maps were computed with the STAR algorithm. RESULTS Primary progressive patients (n = 9) showed a higher mean susceptibility value in the NAWM than relapsing-remitting (n = 44) and CIS (n = 6) (p = 0.01 and p = 0.02). Patients with a higher susceptibility in the NAWM showed increased sNfL concentration (ρ = 0.38, p = 0.004) and lower CSF Aβ levels (ρ = -0.34, p = 0.009). Mean NAWM susceptibility turned out to be a predictor of the expanded disability status scale (EDSS) worsening at follow-up (β = 0.41, t = 2.66, p = 0.01) and of the MS severity scale (MSSS) (β = 0.38, t = 2.43, p = 0.019). CONCLUSIONS QSM in the NAWM seems to predict the EDSS increment over time. This finding might provide evidence on the role of QSM in identifying patients with an increased risk of early disability progression. KEY POINTS • NAWM-QSM is higher in PPMS patients than in RRMS. • NAWM-QSM seems to be a predictor of EDSS worsening over time. • Patients with higher NAWM-QSM show increased sNfL concentration and lower CSF Aβ levels.
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Affiliation(s)
- Anna M Pietroboni
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy.
| | - Annalisa Colombi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Valeria E Contarino
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Francesco Maria Lo Russo
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Giorgio Conte
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
- University of Milan, Milan, Italy
| | - Aurelia Morabito
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Silvia Siggillino
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Tiziana Carandini
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | | | - Andrea Arighi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Milena A De Riz
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Marina Arcaro
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | | | - Giorgio G Fumagalli
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | | | - Fabio Triulzi
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
- University of Milan, Milan, Italy
| | - Elio Scarpini
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
| | - Daniela Galimberti
- Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via F. Sforza 35, 20122, Milan, Italy
- University of Milan, Milan, Italy
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12
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Correspondence among gray matter atrophy and atlas-based neurotransmitter maps is clinically relevant in multiple sclerosis. Mol Psychiatry 2023; 28:1770-1782. [PMID: 36658334 DOI: 10.1038/s41380-023-01943-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 12/29/2022] [Accepted: 01/06/2023] [Indexed: 01/20/2023]
Abstract
In multiple sclerosis (MS), gray matter (GM) atrophy progresses in a non-random manner, possibly in regions with a high distribution of specific neurotransmitters involved in several relevant central nervous system functions. We investigated the associations among regional GM atrophy, atlas-based neurotransmitter distributions and clinical manifestations in a large MS patients' group. Brain 3 T MRI scans, neurological examinations and neuropsychological evaluations were obtained from 286 MS patients and 172 healthy controls (HC). Spatial correlations among regional GM volume differences and atlas-based nuclear imaging-derived neurotransmitter maps, and their associations with MS clinical features were investigated using voxel-based morphometry and JuSpace toolbox. Compared to HC, MS patients showed widespread GM atrophy being spatially correlated with the majority of neurotransmitter maps (false discovery rate [FDR]-p ≤ 0.004). Patients with a disease duration ≥ 5 vs < 5 years had significant cortical, subcortical and cerebellar atrophy, being spatially correlated with a higher distribution of serotoninergic and dopaminergic receptors (FDR-p ≤ 0.03). Compared to mildly-disabled patients, those with Expanded Disability Status Scale ≥ 3.0 or ≥ 4.0 had significant cortical, subcortical and cerebellar atrophy being associated with serotonergic, dopaminergic, opioid and cholinergic maps (FDR-p ≤ 0.04). Cognitively impaired vs cognitively preserved patients had widespread GM atrophy being spatially associated with serotonergic, dopaminergic, noradrenergic, cholinergic and glutamatergic maps (FDR-p ≤ 0.04). Fatigued vs non-fatigued MS patients had significant cortical, subcortical and cerebellar atrophy, not associated with neurotransmitter maps. No significant association between GM atrophy and neurotransmitter maps was found for depression. Regional GM atrophy with specific neurotransmitter systems may explain part of MS clinical manifestations, including locomotor disability, cognitive impairment and fatigue.
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13
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Rocca MA, Valsasina P, Meani A, Gobbi C, Zecca C, Barkhof F, Schoonheim MM, Strijbis EM, Vrenken H, Gallo A, Bisecco A, Ciccarelli O, Yiannakas M, Rovira A, Sastre-Garriga J, Palace J, Matthews L, Gass A, Eisele P, Lukas C, Bellenberg B, Margoni M, Preziosa P, Filippi M. Spinal cord lesions and brain grey matter atrophy independently predict clinical worsening in definite multiple sclerosis: a 5-year, multicentre study. J Neurol Neurosurg Psychiatry 2023; 94:10-18. [PMID: 36171105 DOI: 10.1136/jnnp-2022-329854] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Accepted: 09/05/2022] [Indexed: 02/02/2023]
Abstract
OBJECTIVES To evaluate the combined contribution of brain and cervical cord damage in predicting 5-year clinical worsening in a multicentre cohort of definite multiple sclerosis (MS) patients. METHODS Baseline 3.0T brain and cervical cord T2-weighted and three-dimensional T1-weighted MRI was acquired in 367 patients with MS (326 relapse-onset and 41 progressive-onset) and 179 healthy controls. Expanded Disability Status Scale (EDSS) score was obtained at baseline and after a median follow-up of 5.1 years (IQR=4.8-5.2). At follow-up, patients were classified as clinically stable/worsened according to EDSS changes. Generalised linear mixed models identified predictors of clinical worsening, evolution to secondary progressive (SP) MS and reaching EDSS=3.0, 4.0 and 6.0 milestones at 5 years. RESULTS At follow-up, 120/367 (33%) patients with MS worsened clinically; 36/256 (14%) patients with relapsing-remitting evolved to SPMS. Baseline predictors of EDSS worsening were progressive-onset versus relapse-onset MS (standardised beta (β)=0.97), higher EDSS (β=0.41), higher cord lesion number (β=0.41), lower normalised cortical volume (β=-0.15) and lower cord area (β=-0.28) (C-index=0.81). Older age (β=0.86), higher EDSS (β=1.40) and cord lesion number (β=0.87) independently predicted SPMS conversion (C-index=0.91). Predictors of reaching EDSS=3.0 after 5 years were higher baseline EDSS (β=1.49), cord lesion number (β=1.02) and lower normalised cortical volume (β=-0.56) (C-index=0.88). Baseline age (β=0.30), higher EDSS (β=2.03), higher cord lesion number (β=0.66) and lower cord area (β=-0.41) predicted EDSS=4.0 (C-index=0.92). Finally, higher baseline EDSS (β=1.87) and cord lesion number (β=0.54) predicted EDSS=6.0 (C-index=0.91). CONCLUSIONS Spinal cord damage and, to a lesser extent, cortical volume loss helped predicting worse 5-year clinical outcomes in MS.
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Affiliation(s)
- Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy .,Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy.,Vita-Salute San Raffaele University, Milano, Italy
| | - Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Alessandro Meani
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Claudio Gobbi
- Neurology Clinic, MS Center/Headache Center, Neurocenter of Southern Switzerland EOC, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Chiara Zecca
- Neurology Clinic, MS Center/Headache Center, Neurocenter of Southern Switzerland EOC, Lugano, Switzerland.,Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Frederik Barkhof
- Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - Locatie VUMC, Amsterdam, Netherlands.,Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - Locatie VUMC, Amsterdam, Netherlands
| | - Menno M Schoonheim
- Department of Anatomy and Neurosciences, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC Locatie VUmc, Amsterdam, Netherlands
| | - Eva M Strijbis
- Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - Locatie VUMC, Amsterdam, Netherlands
| | - Hugo Vrenken
- Radiology and Nuclear Medicine, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - Locatie VUMC, Amsterdam, Netherlands.,Department of Neurology, MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC - Locatie VUMC, Amsterdam, Netherlands
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, and 3T MRI-Center, University of Campania Luigi Vanvitelli, Naples, Italy
| | - Olga Ciccarelli
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Marios Yiannakas
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Centre of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Lucy Matthews
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Achim Gass
- Department of Neurology, and Mannheim Center of Translational Neurosciences (MCTN), Ruprecht Karls University Heidelberg Faculty of Medicine Mannheim, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology, and Mannheim Center of Translational Neurosciences (MCTN), Ruprecht Karls University Heidelberg Faculty of Medicine Mannheim, Mannheim, Germany
| | - Carsten Lukas
- Institute of Neuroradiology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany.,Department of Radiology and Nuclear Medicine, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Barbara Bellenberg
- Institute of Neuroradiology, St. Josef Hospital, Ruhr University Bochum, Bochum, Germany
| | - Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy.,Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS Ospedale San Raffaele, Milano, Italy.,Neurology Unit, IRCCS Ospedale San Raffaele, Milano, Italy.,Vita-Salute San Raffaele University, Milano, Italy.,Neurorehabilitation Unit, IRCCS Ospedale San Raffaele, Milano, Italy.,Neurophysiology Service, IRCCS Ospedale San Raffaele, Milano, Italy
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14
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Lus G, Bassano MA, Brescia Morra V, Bonavita S, Gallo A, Maimone D, Malerba L, Maniscalco GT, Saccà F, Salemi G, Turrini R, Cottone S, Sessa E, Buccafusca M, Grimaldi LME. Unmet needs and gaps in the identification of secondary progression in multiple sclerosis: a Southern Italy healthcare professionals' perspective. Neurol Sci 2023; 44:45-58. [PMID: 36114980 PMCID: PMC9483292 DOI: 10.1007/s10072-022-06402-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 09/09/2022] [Indexed: 01/11/2023]
Abstract
OBJECTIVE Multiple sclerosis (MS) is a chronic disease with different clinical courses and a tendency to worsening. The relapsing-remitting MS presents acute onset and relapses of neurological symptoms, followed by their remission. This form can convert to secondary progressive MS (SPMS) with irreversible neurological worsening and disability. The identification of signs, symptoms, markers of progression, and strategies to manage MS patients is mandatory to allow early identification of those at higher risk of conversion to SPMS, for prompt intervention to cope with the progression of the disease. METHODS A panel of Italian experts from Southern Italy have reviewed the current knowledge on MS and its management and identified the crucial tools for SPMS recognition. RESULTS More effective communication between patients and clinicians should be established, with the support of digital tools. Moreover, the improvement in the clinical use of biomarkers for progression (cellular structures and tissue organization, such as neurofilaments and chitinase 3-like 1, axonal and neurons density) and of instrumental analyses for recognition of whole-brain atrophy, chronic active lesions, spinal cord lesions and atrophy, and the improvement the combination of the Expanded Disability Status Scale and the evaluation of cognitive dysfunction are discussed. CONCLUSION Given the availability of a pharmacological option, adequate education both for patients, regarding the evolution of the disease and the specific treatment, and for professionals, to allow more effective and sensitive communication and the best use of diagnostic and management tools, could represent a strategy to improve patient management and their quality of life.
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Affiliation(s)
- Giacomo Lus
- Department of Advanced Medical and Surgical Sciences, II Division of Neurology, Multiple Sclerosis Center, University of Campania "L. Vanvitelli", Naples, Italy
| | | | - Vincenzo Brescia Morra
- Department of Neurosciences Reproductive Sciences and Odontostomatology, Multiple Sclerosis Center, Federico II University, Naples, Italy
| | - Simona Bonavita
- Department of Advanced Medical and Surgical Sciences, Università Della Campania Luigi Vanvitelli, Naples, Italy
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, Università Della Campania Luigi Vanvitelli, Naples, Italy
| | - Davide Maimone
- Unità Operativa Complessa Neurology, Multiple Sclerosis Center, ARNAS Garibaldi, Catania, Italy
| | | | | | - Francesco Saccà
- Department of Neurosciences Reproductive Sciences and Odontostomatology, Multiple Sclerosis Center, Federico II University, Naples, Italy
| | - Giuseppe Salemi
- UOC of Neurology and Multiple Sclerosis Center, DAI of Diagnostic and Interventistic Radiology and Stroke, AOIP "P. Giaccone", Palermo, Italy
| | | | - Salvatore Cottone
- Neurology and Stroke Unit, Multiple Sclerosis Center, ARNAS CIVICO, Palermo, Italy
| | - Edoardo Sessa
- IRCCS Centro Neurolesi "Bonino-Pulejo", Messina, Italy
| | - Maria Buccafusca
- Neurology and Neuromuscular Unit, Multiple Sclerosis Centre, "G. Martino" University Hospital, Messina, Italy
| | - Luigi Maria Edoardo Grimaldi
- Neurology and Multiple Sclerosis Center, Unità Operativa Complessa (UOC), Foundation Institute "G. Giglio", Cefalù, PA, Italy
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15
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Siger M. Magnetic Resonance Imaging in Primary Progressive Multiple Sclerosis Patients : Review. Clin Neuroradiol 2022; 32:625-641. [PMID: 35258820 PMCID: PMC9424179 DOI: 10.1007/s00062-022-01144-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 11/29/2021] [Indexed: 11/21/2022]
Abstract
The recently developed effective treatment of primary progressive multiple sclerosis (PPMS) requires the accurate diagnosis of patients with this type of disease. Currently, the diagnosis of PPMS is based on the 2017 McDonald criteria, although the contribution of magnetic resonance imaging (MRI) to this process is fundamental. PPMS, one of the clinical types of MS, represents 10%-15% of all MS patients. Compared to relapsing-remitting MS (RRMS), PPMS differs in terms of pathology, clinical presentation and MRI features. Regarding conventional MRI, focal lesions on T2-weighted images and acute inflammatory lesions with contrast enhancement are less common in PPMS than in RRMS. On the other hand, MRI features of chronic inflammation, such as slowly evolving/expanding lesions (SELs) and leptomeningeal enhancement (LME), and brain and spinal cord atrophy are more common MRI characteristics in PPMS than RRMS. Nonconventional MRI also shows differences in subtle white and grey matter damage between PPMS and other clinical types of disease. In this review, we present separate diagnostic criteria, conventional and nonconventional MRI specificity for PPMS, which may support and simplify the diagnosis of this type of MS in daily clinical practice.
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Affiliation(s)
- Malgorzata Siger
- Department of Neurology, Medical University of Łódź, 22 Kopcinskiego Str., 90-153, Łódź, Poland.
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16
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Margoni M, Preziosa P, Tortorella P, Filippi M, Rocca MA. Does Ocrelizumab Limit Multiple Sclerosis Progression? Current Evidence from Clinical, MRI, and Fluid Biomarkers. Neurotherapeutics 2022; 19:1216-1228. [PMID: 35668317 PMCID: PMC9587174 DOI: 10.1007/s13311-022-01252-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/21/2022] [Indexed: 12/14/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic inflammatory, demyelinating, and neurodegenerative disease affecting the central nervous system, often characterized by the accumulation of irreversible clinical disability over time. In recent years, there has been a dramatic evolution in several key concepts of MS treatment. The demonstration of the effects of ocrelizumab, a selective monoclonal antibody against CD20+ B cells, has significantly modified our knowledge of the immune-pathophysiology of MS and has provided a new therapeutic target for relapsing and progressive MS patients. Emerging findings suggest that, besides its strong anti-inflammatory activity, ocrelizumab may limit disability progression and may exert beneficial effects on cognitive function, fatigue, and quality of life of MS patients. The significant reductions of the rate of global and regional brain atrophy and of serum neurofilament light chain levels, which were found to be partially independent of overt inflammatory activity, suggest that this treatment may also limit neuro-axonal damage. By discussing the most recent evidence regarding the effects of ocrelizumab on clinical measures as well as on magnetic resonance imaging and fluid biomarkers, this review summarizes current knowledge on the possible mechanisms underlying the effects of ocrelizumab in limiting MS progression and neurodegeneration.
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Affiliation(s)
- Monica Margoni
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Department of Neurosciences, Multiple Sclerosis Center of the Veneto Region, University Hospital-School of Medicine, Padua, Italy
| | - Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | | | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy
- Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.
- Vita-Salute San Raffaele University, Milan, Italy.
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Beynon V, George IC, Elliott C, Arnold DL, Ke J, Chen H, Zhu L, Ke C, Giovannoni G, Scaramozza M, Campbell N, Bradley DP, Franchimont N, Gafson A, Belachew S. Chronic lesion activity and disability progression in secondary progressive multiple sclerosis. BMJ Neurol Open 2022; 4:e000240. [PMID: 35720980 PMCID: PMC9185385 DOI: 10.1136/bmjno-2021-000240] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Accepted: 05/15/2022] [Indexed: 11/04/2022] Open
Abstract
Objective Slowly expanding lesions (SELs), a subgroup of chronic white matter lesions that gradually expand over time, have been shown to predict disability accumulation in primary progressive multiple sclerosis (MS) disease. However, the relationships between SELs, acute lesion activity (ALA), overall chronic lesion activity (CLA) and disability progression are not well understood. In this study, we examined the ASCEND phase III clinical trial, which compared natalizumab with placebo in secondary progressive MS (SPMS). Methods Patients with complete imaging datasets between baseline and week 108 (N=600) were analysed for SEL prevalence (the number and volume of SELs), disability progression, ALA (assessed by gadolinium-enhancing lesions and new T2-hyperintense lesions) and CLA (assessed by T1-hypointense lesion volume increase within baseline T2-non-enhancing lesions identified as SELs and non-SELs). Results CLA in both SELs and non-SELs was greater in patients with SPMS with confirmed disability progression than in those with no progression. In the complete absence of ALA at baseline and on study, SEL prevalence was significantly lower, while CLA within non-SELs remained associated with disability progression. Natalizumab decreased SEL prevalence and CLA in SELs and non-SELs compared with placebo. Conclusions This study shows that CLA in patients with SPMS is decreased but persists in the absence of ALA and is associated with disability progression, highlighting the need for therapeutics targeting all mechanisms of CLA, including smouldering inflammation and neurodegeneration. Trial registration number NCT01416181.
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Affiliation(s)
- Vanessa Beynon
- Global Research & Development, Biogen, Cambridge, Massachusetts, USA
| | - Ilena C George
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Douglas L Arnold
- NeuroRx Research, Montreal, Quebec, Canada.,McConnell Brain Imaging Centre, McGill University, Montreal, Quebec, Canada
| | - Jun Ke
- Biostatistics, Biogen Inc, Cambridge, Massachusetts, USA
| | - Huaihou Chen
- Biostatistics, Biogen Inc, Cambridge, Massachusetts, USA
| | - Li Zhu
- Biostatistics, Biogen Inc, Cambridge, Massachusetts, USA
| | - Chunlei Ke
- Biostatistics, Biogen Inc, Cambridge, Massachusetts, USA
| | - Gavin Giovannoni
- Neuroscience and Trauma, Barts and The London School of Medicine and Dentistry Blizard Institute, London, UK
| | | | - Nolan Campbell
- Global Medical, Biogen Inc, Cambridge, Massachusetts, USA
| | | | | | - Arie Gafson
- Digital Health, Biogen Inc, Cambridge, Massachusetts, USA
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18
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Role of artificial intelligence in MS clinical practice. Neuroimage Clin 2022; 35:103065. [PMID: 35661470 PMCID: PMC9163993 DOI: 10.1016/j.nicl.2022.103065] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 05/04/2022] [Accepted: 05/26/2022] [Indexed: 11/24/2022]
Abstract
For medical applications, machine learning (including deep learning) are the most commonly used artificial intelligence (AI) approaches. It can improve multiple sclerosis (MS) diagnosis, prognostication and treatment monitoring. Thanks to AI, MRI and cognitive phenotypes of MS patients were identified. AI can shorten MRI protocols for MS, allowing the application of advanced techniques. It can reduce the human effort for MRI analysis, especially for lesion segmentation.
Machine learning (ML) and its subset, deep learning (DL), are branches of artificial intelligence (AI) showing promising findings in the medical field, especially when applied to imaging data. Given the substantial role of MRI in the diagnosis and management of patients with multiple sclerosis (MS), this disease is an ideal candidate for the application of AI techniques. In this narrative review, we are going to discuss the potential applications of AI for MS clinical practice, together with their limitations. Among their several advantages, ML algorithms are able to automate repetitive tasks, to analyze more data in less time and to achieve higher accuracy and reproducibility than the human counterpart. To date, these algorithms have been applied to MS diagnosis, prognosis, disease and treatment monitoring. Other fields of application have been improvement of MRI protocols as well as automated lesion and tissue segmentation. However, several challenges remain, including a better understanding of the information selected by AI algorithms, appropriate multicenter and longitudinal validations of results and practical aspects regarding hardware and software integration. Finally, one cannot overemphasize the paramount importance of human supervision, in order to optimize the use and take full advantage of the potential of AI approaches.
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19
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Zeydan B, Rocca MA, Kantarci OH, Filippi M. Spinal cord atrophy is a preclinical marker of progressive MS. Ann Neurol 2022; 91:734-735. [PMID: 35253269 DOI: 10.1002/ana.26341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 01/07/2022] [Indexed: 11/07/2022]
Affiliation(s)
- Burcu Zeydan
- Department of Neurology, Mayo Clinic, Rochester, MN.,Department of Radiology, Mayo Clinic, Rochester, MN
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | | | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
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20
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Preziosa P, Pagani E, Meani A, Moiola L, Rodegher M, Filippi M, Rocca MA. Slowly Expanding Lesions Predict 9-Year Multiple Sclerosis Disease Progression. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 9:9/2/e1139. [PMID: 35105685 PMCID: PMC8808355 DOI: 10.1212/nxi.0000000000001139] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 12/15/2021] [Indexed: 11/15/2022]
Abstract
Background and Objectives Chronic active lesions contribute to multiple sclerosis (MS) severity, but their association with long-term disease progression has not been evaluated yet. White matter (WM) lesions showing linear expansion over time on serial T1- and T2-weighted scans (i.e., slowly expanding lesions [SELs]) have been proposed as a marker of chronic inflammation. In this study, we assessed whether SEL burden and microstructural abnormalities were associated with Expanded Disability Status Scale (EDSS) score worsening and secondary progressive (SP) conversion at 9.1-year follow-up in patients with relapsing-remitting (RR) MS. Methods In 52 patients with RRMS, SELs were identified among WM lesions by linearly fitting the Jacobian of the nonlinear deformation field between time points obtained combining 3T brain T1- and T2-weighted scans acquired at baseline and months 6, 12, and 24. Logistic regression analysis was applied to investigate the associations of SEL number, volume, magnetization transfer ratio (MTR), and T1-weighted signal intensity with disability worsening (i.e., EDSS score increase) and SP conversion after a median follow-up of 9.1 years. Results At follow-up, 20/52 (38%) patients with MS showed EDSS score worsening; 13/52 (25%) showed SP conversion. A higher baseline EDSS score (for each point higher: OR = 3.15 [95% CI = 1.61; 8.38], p = 0.003), a higher proportion of SELs among baseline lesions (for each % increase: OR = 1.22 [1.04; 1.58], p = 0.04), and lower baseline MTR values of SELs (for each % higher: OR = 0.66 [0.41; 0.92], p = 0.033) were significant independent predictors of EDSS score worsening at follow-up (C-index = 0.892). A higher baseline EDSS score (for each point higher: OR = 6.37 [1.98; 20.53], p = 0.002) and lower baseline MTR values of SELs (for each % higher: OR = 0.48 [0.25; 0.89], p = 0.02) independently predicted SPMS conversion (C-index = 0.947). Discussion The proportion of SELs is associated with MS progression after 9 years. More severe SEL microstructural abnormalities independently predict EDSS score worsening and SPMS conversion. The quantification of SEL burden and damage using T1-, T2-weighted, and MTR sequences may identify patients with RRMS at a higher risk of long-term disability progression and SPMS conversion. Classification of Evidence This study provides Class III evidence that in patients with RRMS starting treatment with natalizumab or fingolimod, the proportion of SELs on brain MRI was associated with EDSS score worsening and SPMS conversion at 9-year follow-up.
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Affiliation(s)
- Paolo Preziosa
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Elisabetta Pagani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Alessandro Meani
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Lucia Moiola
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Mariaemma Rodegher
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Massimo Filippi
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy
| | - Maria A Rocca
- From the Neuroimaging Research Unit (P.P., E.P., A.M., M.F., M.A.R.), Division of Neuroscience; Neurology Unit (P.P., L.M., M.R., M.F., M.A.R.); Neurorehabilitation Unit (M.F.); Neurophysiology Service (M.F.), IRCCS San Raffaele Scientific Institute; and Vita-Salute San Raffaele University (M.F., M.A.R.); Milan, Italy.
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21
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Vanderdonckt P, Aloisi F, Comi G, de Bruyn A, Hartung HP, Huitinga I, Kuhlmann T, Lucchinetti CF, Metz I, Reynolds R, Lassmann H. OUP accepted manuscript. Brain Commun 2022; 4:fcac094. [PMID: 35480225 PMCID: PMC9039502 DOI: 10.1093/braincomms/fcac094] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Revised: 02/04/2022] [Accepted: 04/13/2022] [Indexed: 12/05/2022] Open
Abstract
Although major progress in multiple sclerosis research has been made during the last decades, key questions related to the cause and the mechanisms of brain and spinal cord pathology remain unresolved. These cover a broad range of topics, including disease aetiology, antigenic triggers of the immune response inside and/or outside the CNS and mechanisms of inflammation, demyelination neurodegeneration and tissue repair. Most of these questions can be addressed with novel molecular technologies in the injured CNS. Access to brain and spinal cord tissue from multiple sclerosis patients is, therefore, of critical importance. High-quality tissue is provided in part by the existing brain banks. However, material from early and highly active disease stages is limited. An initiative, realized under the patronage of the European Charcot Foundation, gathered together experts from different disciplines to analyse the current state of multiple sclerosis tissues collected post-mortem or as biopsies. Here, we present an account of what material is currently available and where it can be accessed. We also provide recommendations on how tissue donation from patients in early disease stages could be potentially increased and for procedures of tissue sampling and preservation. We also suggest to create a registry of the available tissues that, depending on the source (autopsy versus biopsy), could be made accessible to clinicians and researchers.
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Affiliation(s)
| | - Francesca Aloisi
- Department of Neuroscience, Istituto Superiore di Sanità, Rome, Italy
| | - Giancarlo Comi
- Centro Sclerosi Multipla Ospedale Gallarate and European Charcot Foundation, San Rafaele Scientific Institute, Milano, Italy
| | | | - Hans-Peter Hartung
- Department of Neurology UKD, Germany Medical Faculty, Heinrich Heine Universität, Düsseldorf, Germany
- Brain and Mind Center, University of Sydney, Camperdown, Australia
- Department of Neurology, University of Vienna, Wien, Austria
| | - Inge Huitinga
- Department of Neuroimmunology, Netherlands Institute for Neuroscience, Amsterdam, The Netherlands
| | - Tanja Kuhlmann
- Institut für Neuropathologie, Universitätsklinikum Münster/UKM, Münster, Germany
| | | | - Imke Metz
- Institute of Neuropathology, University Medical Center, Göttingen, Germany
| | | | - Hans Lassmann
- Center for Brain Research, Medical University of Vienna, Wien, Austria
- Correspondence to: Hans Lassmann Center for Brain Research Medical University of Vienna Spitalgasse 4, A-1090 Wien, Austria E-mail:
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22
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Di Sabatino E, Gaetani L, Sperandei S, Fiacca A, Guercini G, Parnetti L, Di Filippo M. The no evidence of disease activity (NEDA) concept in MS: impact of spinal cord MRI. J Neurol 2021; 269:3129-3135. [PMID: 34820734 DOI: 10.1007/s00415-021-10901-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2021] [Revised: 11/08/2021] [Accepted: 11/09/2021] [Indexed: 10/19/2022]
Abstract
BACKGROUND Measures to define treatment response, such as no evidence of disease activity (NEDA), are routinely used in multiple sclerosis (MS) clinical practice. Although spinal cord involvement is a frequent feature of MS, its magnetic resonance imaging (MRI) monitoring is not routinely performed. OBJECTIVE To assess the impact of spinal cord MRI in the definition of NEDA in a cohort of people with MS (pwMS) with available spinal cord imaging performed as for routine monitoring. METHODS We included 115 pwMS undergoing treatment with first-line disease-modifying therapies (DMTs) and retrospectively analyzed the presence of NEDA in the whole cohort, either considering or not spinal cord imaging. RESULTS When considering only clinical and brain MRI measures, 97 out of 115 pwMS (84.3%) satisfied the criteria for NEDA. In the same cohort, the number of pwMS with NEDA significantly decreased to 88 (76.5%) (p < 0.01) when considering also spinal cord imaging. CONCLUSION These findings suggest that, in routine clinical practice, spinal cord MRI monitoring in pwMS under first-line DMTs leads to a slight but significant change in the proportion of subjects classified as clinically and radiologically stable according to the NEDA definition.
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Affiliation(s)
- Elena Di Sabatino
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy
| | - Lorenzo Gaetani
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy
| | - Silvia Sperandei
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy
| | - Andrea Fiacca
- Section of Neuroradiology, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy
| | - Giorgio Guercini
- Section of Neuroradiology, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy
| | - Lucilla Parnetti
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy
| | - Massimiliano Di Filippo
- Section of Neurology, Department of Medicine and Surgery, University of Perugia, Santa Maria della Misericordia Hospital, Piazzale Menghini 1, 06132, Perugia, Italy.
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Valsasina P, Gobbi C, Zecca C, Rovira A, Sastre-Garriga J, Kearney H, Yiannakas M, Matthews L, Palace J, Gallo A, Bisecco A, Gass A, Eisele P, Filippi M, Rocca MA. Characterizing 1-year development of cervical cord atrophy across different MS phenotypes: A voxel-wise, multicentre analysis. Mult Scler 2021; 28:885-899. [PMID: 34605323 DOI: 10.1177/13524585211045545] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
BACKGROUND Spatio-temporal evolution of cord atrophy in multiple sclerosis (MS) has not been investigated yet. OBJECTIVE To evaluate voxel-wise distribution and 1-year changes of cervical cord atrophy in a multicentre MS cohort. METHODS Baseline and 1-year 3D T1-weighted cervical cord scans and clinical evaluations of 54 healthy controls (HC) and 113 MS patients (14 clinically isolated syndromes (CIS), 77 relapsing-remitting (RR), 22 progressive (P)) were used to investigate voxel-wise cord volume loss in patients versus HC, 1-year volume changes and clinical correlations (SPM12). RESULTS MS patients exhibited baseline cord atrophy versus HC at anterior and posterior/lateral C1/C2 and C4-C6 (p < 0.05, corrected). While CIS patients showed baseline volume increase at C4 versus HC (p < 0.001, uncorrected), RRMS exhibited posterior/lateral C1/C2 atrophy versus CIS, and PMS showed widespread cord atrophy versus RRMS (p < 0.05, corrected). At 1 year, 13 patients had clinically worsened. Cord atrophy progressed in MS, driven by RRMS, at posterior/lateral C2 and C3-C6 (p < 0.05, corrected). CIS patients showed no volume changes, while PMS showed circumscribed atrophy progression. Baseline cord atrophy at posterior/lateral C1/C2 and C3-C6 correlated with concomitant and 1-year disability (r = -0.40/-0.62, p < 0.05, corrected). CONCLUSIONS Voxel-wise analysis characterized spinal cord neurodegeneration over 1 year across MS phenotypes and helped to explain baseline and 1-year disability.
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Affiliation(s)
- Paola Valsasina
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano. Switzerland
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Civic Hospital, Lugano, Switzerland Faculty of Biomedical Sciences, Università della Svizzera Italiana (USI), Lugano. Switzerland
| | - Alex Rovira
- Section of Neuroradiology, Department of Radiology, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Jaume Sastre-Garriga
- Department of Neurology/Neuroimmunology, Multiple Sclerosis Center of Catalonia, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Hugh Kearney
- Department of Neurology, St. Vincent's University Hospital, Dublin, Ireland/NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Marios Yiannakas
- NMR Research Unit, Queen Square MS Centre, Department of Neuroinflammation, UCL Institute of Neurology, London, UK
| | - Lucy Matthews
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Jacqueline Palace
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
| | - Antonio Gallo
- Department of Advanced Medical and Surgical Sciences, 3T-MRI Research Centre, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Alvino Bisecco
- Department of Advanced Medical and Surgical Sciences, 3T-MRI Research Centre, University of Campania 'Luigi Vanvitelli', Naples, Italy
| | - Achim Gass
- Department of Neurology/Neuroimaging, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - Philipp Eisele
- Department of Neurology/Neuroimaging, Medical Faculty Mannheim and Mannheim Center for Translational Neurosciences (MCTN), University of Heidelberg, Mannheim, Germany
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, Neurology Unit, Neurorehabilitation Unit, Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy/Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy
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Frahm N, Ellenberger D, Fneish F, Christoph K, Warnke C, Zettl UK, Friedemann F, Rauser B, Stahmann A, Vogelmann V, Flachenecker P. Characteristics of secondary progressive multiple sclerosis: Disease activity and provision of care in Germany - A registry-based/multicentric cohort study. Mult Scler Relat Disord 2021; 56:103281. [PMID: 34624644 DOI: 10.1016/j.msard.2021.103281] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2021] [Revised: 09/02/2021] [Accepted: 09/23/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND The tailored immunomodulatory treatment strategy for secondary progressive multiple sclerosis (SPMS) depends on disease activity. OBJECTIVE To assess the real-world situation in monitoring disease activity in SPMS patients and to identify associations of resulting subgroups with demographics, symptomatology, and therapy METHODS: This study included 4,263 SPMS patients from the German MS register (GMSR). For the classification into 'active' and 'inactive' according to relapse activity and MRI findings during the year prior to the latest clinical visit, we used the following definitions: active - gadolinium enhancing (Gd+)/new T2 lesions or ≥1 relapse, inactive - neither Gd+/new T2 lesions nor relapses. The active, inactive, and unclassifiable patients were compared in terms of clinical data, socio-demographics, symptomatology, healthcare, and DMT. RESULTS Classification was possible for 1,513 (35.5%) SPMS patients, with 467 classified as active and 1,046 as inactive. For the classification, MRI data was available for 33.2% of the 4,263 patients. Higher MRI frequencies were observed for younger patients (OR 1.22 [1.12,1.33] per 10 years) with short disease duration (OR 1.19 [1.09, 1.30] per 10 years) (p < 0.001). CONCLUSION MRI coverage was low, especially in elderly SPMS patients. Roughly one third of the SPMS patients presented markers of disease activity in the last year. Overall, the clinical differences (concerning symptomatology and care) between patients with active and inactive SPMS were small.
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Affiliation(s)
- Niklas Frahm
- MS Forschungs- und Projektentwicklungs- gGmbH (MS Research and Project Development gGmbH [MSFP]), Hannover, Germany.
| | - David Ellenberger
- MS Forschungs- und Projektentwicklungs- gGmbH (MS Research and Project Development gGmbH [MSFP]), Hannover, Germany.
| | - Firas Fneish
- MS Forschungs- und Projektentwicklungs- gGmbH (MS Research and Project Development gGmbH [MSFP]), Hannover, Germany.
| | - Kleinschnitz Christoph
- Department of Neurology and Center of Translational and Behavioral Neurosciences (C-TNBS), University Hospital Essen, Essen, Germany.
| | - Clemens Warnke
- Department of Neurology, Medical Faculty, University Hospital of Cologne, Cologne, Germany.
| | - Uwe K Zettl
- Department of Neurology, Neuroimmunological Section, University of Rostock, Rostock, Germany.
| | - Friedemann Friedemann
- Experimental and Clinical Research Center and NeuroCure Clinical Research Center, Max Delbrueck Center for Molecular Medicine and Charité - Universitätsmedizin Berlin, Berlin, Germany.
| | | | - Alexander Stahmann
- MS Forschungs- und Projektentwicklungs- gGmbH (MS Research and Project Development gGmbH [MSFP]), Hannover, Germany.
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Preziosa P, Filippi M, Rocca MA. Chronic active lesions: a new MRI biomarker to monitor treatment effect in multiple sclerosis? Expert Rev Neurother 2021; 21:837-841. [PMID: 34236010 DOI: 10.1080/14737175.2021.1953983] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Affiliation(s)
- Paolo Preziosa
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy
| | - Massimo Filippi
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurorehabilitation Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurophysiology Service, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
| | - Maria A Rocca
- Neuroimaging Research Unit, Division of Neuroscience, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Neurology Unit, IRCCS San Raffaele Scientific Institute, Milan, Italy.,Vita-Salute San Raffaele University, Milan, Italy
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Brandt AU, Sy M, Bellmann-Strobl J, Newton BL, Pawling J, Zimmermann HG, Yu Z, Chien C, Dörr J, Wuerfel JT, Dennis JW, Paul F, Demetriou M. Association of a Marker of N-Acetylglucosamine With Progressive Multiple Sclerosis and Neurodegeneration. JAMA Neurol 2021; 78:842-852. [PMID: 33970182 PMCID: PMC8111565 DOI: 10.1001/jamaneurol.2021.1116] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Question Is the serum concentration of N-acetylglucosamine (GlcNAc) altered in patients with multiple sclerosis? Findings This cross-sectional study found that patients with a progressive multiple sclerosis subtype and more severe disease have reduced serum levels of a marker of GlcNAc. In addition, GlcNAc is a rate-limiting substrate for N-glycan branching, which has been shown to regulate immunoactivity and myelination. Meaning This study suggests that GlcNAc and N-glycan branching are associated with multiple sclerosis in general and progressive multiple sclerosis in particular. Importance N-glycan branching modulates cell surface receptor availability, and its deficiency in mice promotes inflammatory demyelination, reduced myelination, and neurodegeneration. N-acetylglucosamine (GlcNAc) is a rate-limiting substrate for N-glycan branching, but, to our knowledge, endogenous serum levels in patients with multiple sclerosis (MS) are unknown. Objective To investigate a marker of endogenous serum GlcNAc levels in patients with MS. Design, Setting, and Participants A cross-sectional discovery study and cross-sectional confirmatory study were conducted at 2 academic MS centers in the US and Germany. The discovery study recruited 54 patients with MS from an outpatient clinic as well as 66 healthy controls between April 20, 2010, and June 21, 2013. The confirmatory study recruited 180 patients with MS from screening visits at an academic MS study center between April 9, 2007, and February 29, 2016. Serum samples were analyzed from December 2, 2013, to March 2, 2015. Statistical analysis was performed from February 23, 2020, to March 18, 2021. Main Outcomes and Measures Serum levels of GlcNAc plus its stereoisomers, termed N-acetylhexosamine (HexNAc), were assessed using targeted tandem mass spectroscopy. Secondary outcomes (confirmatory study) comprised imaging and clinical disease markers. Results The discovery cohort included 66 healthy controls (38 women; mean [SD] age, 42 [20] years), 33 patients with relapsing-remitting MS (RRMS; 25 women; mean [SD] age, 50 [11] years), and 21 patients with progressive MS (PMS; 14 women; mean [SD] age, 55 [7] years). The confirmatory cohort included 125 patients with RRMS (83 women; mean [SD] age, 40 [9] years) and 55 patients with PMS (22 women; mean [SD] age, 49 [80] years). In the discovery cohort, the mean (SD) serum level of GlcNAc plus its stereoisomers (HexNAc) was 710 (174) nM in healthy controls and marginally reduced in patients with RRMS (mean [SD] level, 682 [173] nM; P = .04), whereas patients with PMS displayed markedly reduced levels compared with healthy controls (mean [SD] level, 548 [101] nM; P = 9.55 × 10−9) and patients with RRMS (P = 1.83 × 10−4). The difference between patients with RRMS (mean [SD] level, 709 [193] nM) and those with PMS (mean [SD] level, 405 [161] nM; P = 7.6 × 10−18) was confirmed in the independent confirmatory cohort. Lower HexNAc serum levels correlated with worse expanded disability status scale scores (ρ = –0.485; P = 4.73 × 10−12), lower thalamic volume (t = 1.7; P = .04), and thinner retinal nerve fiber layer (B = 0.012 [SE = 7.5 × 10−11]; P = .008). Low baseline serum HexNAc levels correlated with a greater percentage of brain volume loss at 18 months (t = 1.8; P = .04). Conclusions and Relevance This study suggests that deficiency of GlcNAc plus its stereoisomers (HexNAc) may be a biomarker for PMS. Previous preclinical, human genetic, and ex vivo human mechanistic studies revealed that N-glycan branching and/or GlcNAc may reduce proinflammatory responses, promote myelin repair, and decrease neurodegeneration. Combined, the data suggest that GlcNAc deficiency may be associated with progressive disease and neurodegeneration in patients with MS.
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Affiliation(s)
- Alexander U Brandt
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,Department of Neurology, University of California, Irvine, Irvine.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Michael Sy
- Department of Neurology, University of California, Irvine, Irvine
| | - Judith Bellmann-Strobl
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Barbara L Newton
- Department of Neurology, University of California, Irvine, Irvine
| | - Judy Pawling
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Toronto, Ontario, Canada
| | - Hanna G Zimmermann
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Zhaoxia Yu
- Department of Statistics, University of California, Irvine, Irvine
| | - Claudia Chien
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jan Dörr
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Jens Th Wuerfel
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,Medical Image Analysis Center, Department of Biomedical Engineering, University Basel, Basel, Switzerland
| | - James W Dennis
- Samuel Lunenfeld Research Institute, Mount Sinai Hospital, Toronto, Toronto, Ontario, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada
| | - Friedemann Paul
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, and Max Delbrück Center for Molecular Medicine, Berlin, Germany.,NeuroCure Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
| | - Michael Demetriou
- Department of Neurology, University of California, Irvine, Irvine.,Department of Microbiology and Molecular Genetics, University of California, Irvine, Irvine
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Preziosa P, Schoonheim MM. Ongoing Axonal Injury in Chronic Active Lesions in Multiple Sclerosis: In Vivo Quantification Using Serum Neurofilament. Neurology 2021; 97:257-258. [PMID: 34088879 DOI: 10.1212/wnl.0000000000012331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Paolo Preziosa
- From the Neuroimaging Research Unit, Division of Neuroscience (P.P.), and Neurology Unite (P.P.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Department of Anatomy and Neurosciences (M.M.S.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands
| | - Menno M Schoonheim
- From the Neuroimaging Research Unit, Division of Neuroscience (P.P.), and Neurology Unite (P.P.), IRCCS San Raffaele Scientific Institute, Milan, Italy; and Department of Anatomy and Neurosciences (M.M.S.), MS Center Amsterdam, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit Amsterdam, the Netherlands.
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Abstract
PURPOSE OF REVIEW To summarize recent evidence from the application of susceptibility-based MRI sequences to investigate the 'central vein sign' (CVS) and 'iron rim' as biomarkers to improve the diagnostic work-up of multiple sclerosis (MS) and predict disease severity. RECENT FINDINGS The CVS is a specific biomarker for MS being detectable from the earliest phase of the disease. A threshold of 40% of lesions with the CVS can be optimal to distinguish MS from non-MS patients. Iron rim lesions, reflecting chronic active lesions, develop in relapsing-remitting MS patients and persist in progressive MS. They increase in size in the first few years after their formation and then stabilize. Iron rim lesions can distinguish MS from non-MS patients but not the different MS phenotypes. The presence of at least four iron rim lesions is associated with an earlier clinical disability, higher prevalence of clinically progressive MS and more severe brain atrophy. Automated methods for CVS and iron rim lesion detection are under development to facilitate their quantification. SUMMARY The assessment of the CVS and iron rim lesions is feasible in the clinical scenario and provides MRI measures specific to MS pathological substrates, improving diagnosis and prognosis of these patients.
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Penner IK, Gass A, Schreiber H, Wattjes MP. [Neuropsychological and MRI diagnostics in secondary progressive multiple sclerosis]. DER NERVENARZT 2021; 92:1293-1301. [PMID: 33891150 PMCID: PMC8648628 DOI: 10.1007/s00115-021-01118-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Accepted: 03/02/2021] [Indexed: 11/24/2022]
Abstract
Hintergrund Die Multiple Sklerose ist im longitudinalen Verlauf oft ein Krankheitskontinuum mit initial schubförmig-remittierender Phase (RRMS) und späterer sekundärer Progredienz (SPMS). Die meisten bisher zugelassenen Therapien sind bei SPMS nicht ausreichend wirksam. Die frühe Erkennung der SPMS-Konversion ist daher entscheidend für die Therapiewahl. Wichtige Entscheidungshilfen können dabei die Testung kognitiver Teilleistungen und die Magnetresonanztomographie (MRT) sein. Ziel der Arbeit Darstellung der Bedeutung kognitiver Testungen und von MRT-Untersuchungen für Prädiktion und Erfassung der SPMS-Konversion. Ausarbeitung von Strategien der Verlaufsbeobachtung und Therapiesteuerung in der Praxis, insbesondere in der ambulanten Versorgung. Material und Methoden Übersichtsarbeit auf Basis einer unsystematischen Literaturrecherche. Ergebnisse Standardisierte kognitive Testung kann für die frühe SPMS-Diagnose hilfreich sein und die Verlaufsbewertung erleichtern. Eine jährliche Anwendung sensitiver Screeningtests wie Symbol Digit Modalities Test (SDMT) und Brief Visual Memory Test-Revised (BVMT‑R) oder der Brief International Cognitive Assessment for MS (BICAMS)-Testbatterie ist empfehlenswert. Persistierende inflammatorische Aktivität im MRT in den ersten drei Jahren der Erkrankung sowie das Vorhandensein kortikaler Läsionen sind prädiktiv für eine SPMS-Konversion. Ein standardisiertes MRT-Monitoring auf Merkmale einer progressiven MS kann den klinisch und neurokognitiv begründeten SPMS-Verdacht stützen. Diskussion Die interdisziplinäre Versorgung von MS-Patienten durch klinisch versierte Neurologen, unterstützt durch neuropsychologische Testung und MRT, hat einen hohen Stellenwert für die SPMS-Prädiktion und Diagnose. Letztere erlaubt eine frühe Umstellung auf geeignete Therapien, da bei SPMS andere Interventionen als für die RRMS notwendig sind. Nach erfolgter medikamentöser Umstellung erlaubt die klinische, neuropsychologische und bildgebende Vigilanz ein stringentes Monitoring auf neuroinflammatorische und -degenerative Aktivität sowie Therapiekomplikationen.
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Affiliation(s)
- I-K Penner
- Klinik für Neurologie, Medizinische Fakultät, Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Deutschland. .,COGITO Zentrum für angewandte Neurokognition und neuropsychologische Forschung, Merowingerplatz 1, 40225, Düsseldorf, Deutschland.
| | - A Gass
- Neurologische Klinik, Universitätsmedizin Mannheim, Mannheim, Deutschland
| | - H Schreiber
- Nervenärztliche Gemeinschaftspraxis, Neuropoint Akademie und NTD, Ulm, Deutschland
| | - M P Wattjes
- Institut für diagnostische und interventionelle Neuroradiologie, Medizinische Hochschule Hannover, Hannover, Deutschland
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