1
|
Yılmaz Tuğan B, Bünül SD, Kara B, Alikılıç D, Karabaş L, Efendi H, Yüksel N. Retinal and Choroidal Vascularity Evaluation in Pediatric Radiologically Isolated Syndrome and Multiple Sclerosis. Pediatr Neurol 2024; 153:34-43. [PMID: 38320456 DOI: 10.1016/j.pediatrneurol.2024.01.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/19/2023] [Revised: 12/29/2023] [Accepted: 01/08/2024] [Indexed: 02/08/2024]
Abstract
BACKGROUND To assess vessel density (VD) and flow of retinal plexuses and peripapillary region related with the pediatric radiologically isolated syndrome (RIS) and multiple sclerosis (MS). METHODS We analyzed 24 eyes of 12 participants with the diagnosis of RIS, 24 eyes of 12 participants with the diagnosis of MS, and 26 eyes of 13 age- and sex-matched healthy controls in this prospective, cross-sectional study. The superficial capillary plexus (SCP) and deep capillary plexus, foveal avascular zone, and the flow of choriocapillaris were investigated using optical coherence tomography angiography. RESULTS Parafoveal VD and all subregion parameters in SCP were significantly decreased in the MS group compared with the controls, whereas only nasal and inferior VD were significantly decreased in the pediatric RIS group compared with the controls. Ganglion cell layer (GCL) thickness of all subregions of the inner ring was significantly decreased in the pediatric MS group compared with the control group. No significant difference was observed between the pediatric RIS group and the control group regarding thickness. CONCLUSIONS We showed lower parafoveal VD in all subregions of SCP in pediatric MS, whereas only parafoveal nasal and inferior VD were decreased in pediatric RIS. GCL thickness of inner ring was significantly decreased in the pediatric MS, whereas GCL thickness did not change in pediatric RIS. Therefore, a decrease of parafoveal nasal and inferior VD without a decrease in thickness implies an early impairment of microvasculature in the RIS before impairment of thickness and that microvascular alterations begin from highly vascular superficial parafovea.
Collapse
Affiliation(s)
| | | | - Bülent Kara
- Division of Pediatric Neurology, Department of Pediatrics, Kocaeli University, Kocaeli, Turkey
| | - Defne Alikılıç
- Division of Pediatric Neurology, Department of Pediatrics, Kocaeli University, Kocaeli, Turkey
| | - Levent Karabaş
- Department of Ophthalmology, Kocaeli University, Kocaeli, Turkey
| | - Hüsnü Efendi
- Department of Neurology, Kocaeli University, Kocaeli, Turkey
| | - Nurşen Yüksel
- Department of Ophthalmology, Kocaeli University, Kocaeli, Turkey
| |
Collapse
|
2
|
Lebrun-Frenay C, Kantarci O, Siva A, Azevedo CJ, Makhani N, Pelletier D, Okuda DT. Radiologically isolated syndrome. Lancet Neurol 2023; 22:1075-1086. [PMID: 37839432 DOI: 10.1016/s1474-4422(23)00281-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Revised: 05/29/2023] [Accepted: 07/17/2023] [Indexed: 10/17/2023]
Abstract
Individuals can be deemed to have radiologically isolated syndrome (RIS) if they have incidental demyelinating-appearing lesions in their brain or spinal cord that are highly suggestive of multiple sclerosis but their clinical history does not include symptoms consistent with multiple sclerosis. Data from international longitudinal cohorts indicate that around half of people with RIS will develop relapsing or progressive symptoms of multiple sclerosis within 10 years, suggesting that in some individuals, RIS is a presymptomatic stage of multiple sclerosis. Risk factors for progression from RIS to clinical multiple sclerosis include younger age (ie, <35 years), male sex, CSF-restricted oligoclonal bands, spinal cord or infratentorial lesions, and gadolinium-enhancing lesions. Other imaging, biological, genetic, and digital biomarkers that might be of value in identifying individuals who are at the highest risk of developing multiple sclerosis need further investigation. Two 2-year randomised clinical trials showed the efficacy of approved multiple sclerosis immunomodulatory medications in preventing the clinical conversion to multiple sclerosis in some individuals with RIS. If substantiated in longer-term studies, these data have the potential to transform our approach to care for the people with RIS who are at the greatest risk of diagnosis with multiple sclerosis.
Collapse
Affiliation(s)
- Christine Lebrun-Frenay
- CRC-SEP Nice, Neurologie CHU Nice, Hôpital Pasteur 2, UMR2CA-URRIS, Université Côte d'Azur, Nice, France.
| | | | - Aksel Siva
- Department of Neurology, Cerrahpasa School of Medicine, Istanbul University, Turkiye
| | - Christina J Azevedo
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Naila Makhani
- Departments of Pediatrics and Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Daniel Pelletier
- Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Darin T Okuda
- Department of Neurology, The University of Texas Southwestern Medical Center, Dallas, TX, USA
| |
Collapse
|
3
|
Bower A, Makhani N. Radiologically Isolated Syndrome and the Multiple Sclerosis Prodrome in Pediatrics: Early Features of the Spectrum of Demyelination. Semin Pediatr Neurol 2023; 46:101053. [PMID: 37451751 DOI: 10.1016/j.spen.2023.101053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Revised: 05/05/2023] [Accepted: 05/07/2023] [Indexed: 07/18/2023]
Abstract
Radiologically isolated syndrome refers to the clinical scenario in which individuals have imaging concerning for multiple sclerosis and would otherwise satisfy radiographic dissemination in space criteria, but do not have any attributable signs or symptoms. Radiologically isolated syndrome has been increasingly recognized in the pediatric population and it is understood certain individuals will transition to a formal diagnosis of multiple sclerosis over time. This review aims to outline the available data within this unique population including the diagnostic criteria, epidemiology, risk factors associated with transitioning to multiple sclerosis, and the current therapeutic landscape. Radiologically isolated syndrome will also be positioned within a broader spectrum of demyelinating disease as recent data has pointed towards a likely prodromal phase that precedes a first clinical event and diagnosis of multiple sclerosis. Characterizing the radiographic features, clinical symptoms, and biomarkers that constitute this prodromal phase of multiple sclerosis would help identify patients who may most benefit from early intervention in the future.
Collapse
Affiliation(s)
- Aaron Bower
- Department of Neurology, Yale School of Medicine, New Haven, CT
| | - Naila Makhani
- Department of Neurology, Yale School of Medicine, New Haven, CT; Department of Pediatrics, Yale School of Medicine, New Haven, CT.
| |
Collapse
|
4
|
Collorone S, Foster MA, Toosy AT. Advanced central nervous system imaging biomarkers in radiologically isolated syndrome: a mini review. Front Neurol 2023; 14:1172807. [PMID: 37273705 PMCID: PMC10235479 DOI: 10.3389/fneur.2023.1172807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Accepted: 05/02/2023] [Indexed: 06/06/2023] Open
Abstract
Radiologically isolated syndrome is characterised by central nervous system white-matter hyperintensities highly suggestive of multiple sclerosis in individuals without a neurological history of clinical demyelinating episodes. It probably represents the pre-symptomatic phase of clinical multiple sclerosis but is poorly understood. This mini review summarises our current knowledge regarding advanced imaging techniques in radiologically isolated syndrome that provide insights into its pathobiology and prognosis. The imaging covered will include magnetic resonance imaging-derived markers of central nervous system volumetrics, connectivity, and the central vein sign, alongside optical coherence tomography-related metrics.
Collapse
Affiliation(s)
| | | | - Ahmed T. Toosy
- Queen Square MS Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, United Kingdom
| |
Collapse
|
5
|
Mirmosayyeb O, Zivadinov R, Weinstock-Guttman B, Benedict RHB, Jakimovski D. Optical coherence tomography (OCT) measurements and cognitive performance in multiple sclerosis: a systematic review and meta-analysis. J Neurol 2023; 270:1266-1285. [PMID: 36396812 DOI: 10.1007/s00415-022-11449-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 11/18/2022]
Abstract
BACKGROUND Several studies report mixed associations between the retinal nerve fiber layer (RNFL) thickness with cognitive and physical disability in persons with multiple sclerosis (PwMS). Systematic synthesis of these findings is crucial in deriving credible conclusions. METHODS Five databases were searched from their inception to March 2022. The inclusion criteria for studies were MS-specific and required RNFL and cognitive performance data in order to be analyzed. The selection processes followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS The systematic review yielded 31 studies that investigated the association between RNFL thickness and cognitive performance. Twenty-two studies reported positive associations, and nine did not. The meta-analysis included 11 studies with a total of 782 PwMS with mean age of 40.5 years, mean Expanded Disability Status Scale (EDSS) of 2.7, and disease duration of 11.3 years. RNFL thickness was significantly associated Symbol Digit Modalities Test (pooled r = 0.306, p < 0.001), Paced Auditory Serial Addition Test (pooled r = 0.374, p < 0.001) and Word List Generation (WLG, pooled r = 0.177, p < 0.001). RNFL was also significantly correlated with visuospatial learning and memory tests (pooled r = 0.148, p = 0.042) and verbal learning and memory tests (pooled r = 0.245, p = 0.005). Within three eligible studies, no significant association between ganglion cell inner-plexiform layer and SDMT 0.083 (95% CI - 0.186, 0.352) was noted. The heterogeneity was high in all correlation studies (I2 > 63% and p < 0.008) except for the WLG and visuospatial memory findings. CONCLUSION RNFL thickness is associated with cognitive processing speed, verbal learning and memory, visual learning and memory, as well as verbal fluency in PwMS. The number of studies included in the meta-analyses were limited due to non-standardized reporting.
Collapse
Affiliation(s)
- Omid Mirmosayyeb
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Ralph H B Benedict
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA
| | - Dejan Jakimovski
- Department of Neurology, Jacobs Comprehensive MS Treatment and Research Center, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, 100 High Street, Buffalo, NY, 14203, USA.
| |
Collapse
|
6
|
Assessment of Retinal Nerve Fiber Layer (RNFL) and Retinal Ganglion Cell Layer (RGCL) Thickness in Radiologically Isolated Syndrome (RIS). ARCHIVES OF NEUROSCIENCE 2023. [DOI: 10.5812/ans-130575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Background: Three-thirds of people with radiologically isolated syndrome (RIS) develop multiple sclerosis (MS) within five years following their first brain magnetic resonance imaging (MRI). Subclinical applications of optical coherence tomography (OCT) include measuring the thickness of different retinal layers and monitoring the progression of visual pathway atrophy and neurodegeneration in relation to the progress of the entire brain. Objectives: Our OCT study was conducted in individuals with RIS to evaluate the thickness of the macular retinal nerve fiber layer (mRNFL) and the retinal ganglion cell layer (RGCL). Methods: In this study, 22 patients with RIS and 23 healthy individuals healthy control (HC) were enrolled. The control group and the RIS subjects underwent retinal imaging with OCT. Results: Total mRNFL thickness was 110.34 ± 13.71 μm in the RIS patients and 112.10 ± 11.23 μm in the HC group. Regional analysis of the mRNFL showed that the difference in thickness was more prominent in the superior quadrant. In regards to ganglion cell layer (GCL)++ thickness, the RIS and HCs population showed statistically significant differences in the nasal (P = 0.041), inferior (P = 0.040), and superior (P = 0.045) quadrants. The nasal (P = 0.041) quadrant showed the highest reduction in thickness compared to other regions of the GCL++. Meanwhile, no significant reduction was seen in GCL+ thickness (P-value > 0.05). When the thickness of the retinal layer of the right eye was compared to that of the left eye of the RIS group, no statistically significant differences were found (P-value > 0.05). Conclusions: Compared to the control group, the RIS group had a lower mean thickness of mRNFL and GCL++, indicating retinal neuroaxonal loss.
Collapse
|
7
|
Zhao B, Yan Y, Wu X, Geng Z, Wu Y, Xiao G, Wang L, Zhou S, Wei L, Wang K, Liao R. The correlation of retinal neurodegeneration and brain degeneration in patients with Alzheimer's disease using optical coherence tomography angiography and MRI. Front Aging Neurosci 2023; 15:1089188. [PMID: 37122375 PMCID: PMC10130430 DOI: 10.3389/fnagi.2023.1089188] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/27/2023] [Indexed: 05/02/2023] Open
Abstract
Introduction Pathological changes in Alzheimer's disease can cause retina and optic nerve degeneration. The retinal changes are correlated with cognitive function. This study aimed to explore the relationship of retinal differences with neuroimaging in patients with Alzheimer's disease, analyze the association of cognitive function with retinal structure and vascular density, and identify potential additional biomarkers for early diagnosis of Alzheimer's disease. Method We performed magnetic resonance imaging (MRI) scans and neuropsychological assessments in 28 patients with mild Alzheimer's disease and 28 healthy controls. Retinal structure and vascular density were evaluated by optical coherence tomography angiography (OCTA). Furthermore, we analyzed the correlation between neuroimaging and OCTA parameters in patients with mild Alzheimer's disease with adjustment for age, gender, years of education, and hypertension. Results In patients with mild Alzheimer's disease, OCTA-detected retinal parameters were not significantly correlated with MRI-detected neuroimaging parameters after Bonferroni correction for multiple testing. Under multivariable analysis controlled for age, gender, years of education, and hypertension, the S-Hemi (0-3) sector of macular thickness was significantly associated with Mini-cog (β = 0.583, P = 0.002) with Bonferroni-corrected threshold at P < 0.003. Conclusion Our findings suggested decreased macular thickness might be associated with cognitive function in mild AD patients. However, the differences in retinal parameters didn't correspond to MRI-detected parameters in this study. Whether OCTA can be used as a new detection method mirroring MRI for evaluating the effect of neuronal degeneration in patients with mild Alzheimer's disease still needs to be investigated by more rigorous and larger studies in the future.
Collapse
Affiliation(s)
- Bingying Zhao
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Yibing Yan
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Xingqi Wu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Zhi Geng
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Yue Wu
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Guixian Xiao
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Lu Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Shanshan Zhou
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
| | - Ling Wei
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
| | - Kai Wang
- Department of Neurology, The First Affiliated Hospital of Anhui Medical University, The School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Cognition and Neuropsychiatric Disorders, Hefei, China
- Collaborative Innovation Center of Neuropsychiatric Disorders and Mental Health, Hefei, Anhui, China
- Institute of Artificial Intelligence, Hefei Comprehensive National Science Center, Hefei, China
- *Correspondence: Kai Wang,
| | - Rongfeng Liao
- Department of Ophthalmology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Rongfeng Liao,
| |
Collapse
|
8
|
Marrie RA, Allegretta M, Barcellos LF, Bebo B, Calabresi PA, Correale J, Davis B, De Jager PL, Gasperi C, Greenbaum C, Helme A, Hemmer B, Kanellis P, Kostich W, Landsman D, Lebrun-Frenay C, Makhani N, Munger KL, Okuda DT, Ontaneda D, Postuma RB, Quandt JA, Roman S, Saidha S, Sormani MP, Strum J, Valentine P, Walton C, Zackowski KM, Zhao Y, Tremlett H. From the prodromal stage of multiple sclerosis to disease prevention. Nat Rev Neurol 2022; 18:559-572. [PMID: 35840705 DOI: 10.1038/s41582-022-00686-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 06/08/2022] [Indexed: 11/09/2022]
Abstract
A prodrome is an early set of signs or symptoms that indicate the onset of a disease before more typical symptoms develop. Prodromal stages are well recognized in some neurological and immune-mediated diseases such as Parkinson disease, schizophrenia, type 1 diabetes mellitus and rheumatoid arthritis. Emerging evidence indicates that a prodromal stage exists in multiple sclerosis (MS), raising the possibility of intervention at this stage to delay or prevent the development of classical MS. However, much remains unclear about the prodromal stage of MS and considerable research is needed to fully characterize the prodrome and develop standardized criteria to reliably identify individuals with prodromal MS who are at high risk of progressing to a diagnosis of MS. In this Roadmap, we draw on work in other diseases to propose a disease framework for MS that incorporates the prodromal stage, and set out key steps and considerations needed in future research to fully characterize the MS prodrome, identify early disease markers and develop standardized criteria that will enable reliable identification of individuals with prodromal MS, thereby facilitating trials of interventions to slow or stop progression beyond the prodrome.
Collapse
Affiliation(s)
- Ruth Ann Marrie
- Department of Internal Medicine, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
- Department of Community Health Sciences, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Manitoba, Canada.
| | | | - Lisa F Barcellos
- Division of Epidemiology and Genetic Epidemiology and Genomics Laboratory, School of Public Health, University of California Berkeley, Berkeley, CA, USA
- Kaiser Permanente Division of Research, Oakland, CA, USA
| | - Bruce Bebo
- National Multiple Sclerosis Society, New York, NY, USA
| | - Peter A Calabresi
- Johns Hopkins University School of Medicine, Departments of Neurology, Neuroscience and Ophthalmology, Baltimore, MD, USA
| | | | - Benjamin Davis
- Multiple Sclerosis Society of Canada, Toronto, Ontario, Canada
| | - Philip L De Jager
- Multiple Sclerosis Center, Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Irving Medical Center, New York, NY, USA
| | - Christiane Gasperi
- Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany
| | - Carla Greenbaum
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Anne Helme
- Multiple Sclerosis International Federation, London, UK
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Pamela Kanellis
- Multiple Sclerosis Society of Canada, Toronto, Ontario, Canada
| | | | | | | | - Naila Makhani
- Departments of Pediatrics and Neurology, Yale School of Medicine, New Haven, CT, USA
| | - Kassandra L Munger
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Darin T Okuda
- The University of Texas Southwestern Medical Center, Department of Neurology, Neuroinnovation Program, Multiple Sclerosis and Neuroimmunology Imaging Program, Dallas, TX, USA
| | - Daniel Ontaneda
- Mellen Center for Multiple Sclerosis Treatment and Research, Cleveland Clinic, Cleveland, OH, USA
| | - Ronald B Postuma
- Department of Neurology, McGill University, Montreal, Quebec, Canada
| | - Jacqueline A Quandt
- Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada
| | - Sharon Roman
- Patient representative, Vancouver, British Columbia, Canada
| | - Shiv Saidha
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, and IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | | | | | | | | | - Yinshan Zhao
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| | - Helen Tremlett
- Faculty of Medicine (Neurology), University of British Columbia, Vancouver, British Columbia, Canada
| |
Collapse
|
9
|
Yılmaz Tuğan B, Bünül SD. The Effect of Radiologically Isolated Syndrome on Retinal and Choroidal Hemodynamics - An Optical Coherence Tomography Angiography Study. Curr Eye Res 2022; 47:1312-1321. [DOI: 10.1080/02713683.2022.2078493] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
|
10
|
Amato MP, De Stefano N, Inglese M, Morena E, Ristori G, Salvetti M, Trojano M. Secondary Prevention in Radiologically Isolated Syndromes and Prodromal Stages of Multiple Sclerosis. Front Neurol 2022; 13:787160. [PMID: 35359637 PMCID: PMC8964010 DOI: 10.3389/fneur.2022.787160] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Accepted: 02/03/2022] [Indexed: 11/18/2022] Open
Abstract
Following the extraordinary progress in the treatment of multiple sclerosis (MS), two major unmet needs remain: understanding the etiology of the disease and, hence, designing definitive cures (this perspective is neither at hand, nor it can be taken for granted that the etiologic targets will be readily treatable); the prevention of an overt and disabling disease, which seems to be a more realistic and pragmatic perspective, as the integration of genetic data with endophenotypes, MRI, and other biomarkers ameliorates our ability to identify early neuroinflammation. Radiologically isolated syndrome (RIS; diagnosed when the unanticipated MRI finding of brain spatial dissemination of focal white matter lesions highly suggestive of MS occurs in subjects without symptoms of MS, and with normal neurological examinations) and the recently focused “prodromal MS” are conditions at risk of conversion toward overt disease. Here, we explore the possibility of secondary prevention approaches in these early stages of neuroinflammation. RIS and prodromal MS are rare conditions, which suggest the importance of Study Groups and Disease Registry to implement informative clinical trials. We summarize ongoing preventive approaches in the early stages of the demyelinating process, especially in RIS conditions. Moreover, we highlight the importance of the biomarkers and the predictors of evolution to overt disease, which may be useful to select the individuals at risk of conversion to clinically isolated syndrome (CIS) and/or clinically definite MS. Finally, we illustrate the importance of the endophenotypes to test the frontline immunomodulatory approach for preventive strategies. Future investigations, especially in relatives of patients, based on MRI techniques and biological studies (better with integrated approaches) may provide opportunities to understand the MS early causal cascade and may help to identify a “therapeutic window” to potentially reverse early disease processes.
Collapse
Affiliation(s)
- Maria Pia Amato
- Department of Neurosciences, Psycology, Drug Research and Child Health (NEUROFARBA), University of Florence, Florence, Italy.,Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Nicola De Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - Matilde Inglese
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy.,San Martino Hospital-IRCCS, Genoa, Italy
| | - Emanuele Morena
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University, Rome, Italy
| | - Giovanni Ristori
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University, Rome, Italy.,Neuroimmunology Unit, IRCCS Fondazione Santa Lucia, Rome, Italy
| | - Marco Salvetti
- Department of Neuroscience, Mental Health and Sensory Organs (NESMOS), Sapienza University, Rome, Italy.,Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS) Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy
| | - Maria Trojano
- Department of Basic Medical Sciences, Neurosciences and Sense Organs, University of Bari Aldo Moro, Bari, Italy
| |
Collapse
|
11
|
Miguel JM, Roldán M, Pérez-Rico C, Ortiz M, Boquete L, Blanco R. Using advanced analysis of multifocal visual-evoked potentials to evaluate the risk of clinical progression in patients with radiologically isolated syndrome. Sci Rep 2021; 11:2036. [PMID: 33479457 PMCID: PMC7820316 DOI: 10.1038/s41598-021-81826-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2020] [Accepted: 01/12/2021] [Indexed: 11/09/2022] Open
Abstract
This study aimed to assess the role of multifocal visual-evoked potentials (mfVEPs) as a guiding factor for clinical conversion of radiologically isolated syndrome (RIS). We longitudinally followed a cohort of 15 patients diagnosed with RIS. All subjects underwent thorough ophthalmological, neurological and imaging examinations. The mfVEP signals were analysed to obtain features in the time domain (SNRmin: amplitude, Latmax: monocular latency) and in the continuous wavelet transform (CWT) domain (bmax: instant in which the CWT function maximum appears, Nmax: number of CWT function maximums). The best features were used as inputs to a RUSBoost boosting-based sampling algorithm to improve the mfVEP diagnostic performance. Five of the 15 patients developed an objective clinical symptom consistent with an inflammatory demyelinating central nervous system syndrome during follow-up (mean time: 13.40 months). The (SNRmin) variable decreased significantly in the group that converted (2.74 ± 0.92 vs. 4.07 ± 0.95, p = 0.01). Similarly, the (bmax) feature increased significantly in RIS patients who converted (169.44 ± 24.81 vs. 139.03 ± 11.95 (ms), p = 0.02). The area under the curve analysis produced SNRmin and bmax values of 0.92 and 0.88, respectively. These results provide a set of new mfVEP features that can be potentially useful for predicting prognosis in RIS patients.
Collapse
Affiliation(s)
- J M Miguel
- Biomedical Engineering Group, Department of Electronics, University of Alcalá, 28805, Alcalá de Henares, Madrid, Spain
| | - M Roldán
- Department of Ophthalmology, Príncipe de Asturias University Hospital, Madrid, Spain
| | - C Pérez-Rico
- Department of Ophthalmology, Príncipe de Asturias University Hospital, Madrid, Spain.,Department of Surgery, Medical and Social Sciences, University of Alcalá, Carretera Alcalá-Meco S/N, 28805, Alcalá de Henares, Madrid, Spain
| | - M Ortiz
- School of Physics, University of Melbourne, Melbourne, VIC, 3010, Australia
| | - L Boquete
- Biomedical Engineering Group, Department of Electronics, University of Alcalá, 28805, Alcalá de Henares, Madrid, Spain
| | - R Blanco
- Department of Surgery, Medical and Social Sciences, University of Alcalá, Carretera Alcalá-Meco S/N, 28805, Alcalá de Henares, Madrid, Spain. .,Ramón Y Cajal Health Research Institute (IRYCIS), 28034, Madrid, Spain.
| |
Collapse
|
12
|
Barreiro-González A, Sanz MT, Carratalà-Boscà S, Pérez-Miralles F, Alcalá C, Carreres-Polo J, España-Gregori E, Casanova B. Magnetic resonance imaging and optical coherence tomography correlations in multiple sclerosis beyond anatomical landmarks. J Neurol Sci 2020; 419:117180. [PMID: 33091751 DOI: 10.1016/j.jns.2020.117180] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 09/14/2020] [Accepted: 10/10/2020] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To investigate multiple sclerosis (MS) optical coherence tomography (OCT) cross-sectional correlations with central nervous system (CNS) magnetic resonance imaging (MRI). MATERIAL AND METHODS Peripapillary retinal nerve fiber layer (pRNFL), ganglion cell layer (GCL), inner plexiform layer (IPL), inner (INL) and outer nuclear layer (ONL) of 54 relapsing remitting (RRMS) and 38 progressive (PMS, 9 primary and 29 secondary) patients were measured. With less than 3 months brain parenchymal fraction (BPF), spinal cord (SC), total gray matter (GM) and white matter volumes were calculated. Demographical and clinical data was compared according to the history of optic neuritis (HON). Relationships between OCT and MRI data were assessed using multivariable linear regression models, adjusting for age, gender and disease duration, taking into account HON and disease subtype. RESULTS Cerebellum (p = 0.008), pRNFL (p = 0.001), GCL (p = 0.001) and IPL (p = 0.001) were thinner, while INL was thicker (p = 0.02) if HON. SC correlated better with nasal pRNFL sectors in eyes with HON (all eyes: average pRNFL p = 0.035 η2 = 0.213; N-pRNFL p = 0.04 η2 = 0.36, NI-pRNFL p = 0.0001 η2 = 0.484. RRMS eyes: N-pRNFL p = 0.034 η2 = 0.348; NI-pRNFL p = 0.013 η2 = 0.441), while it correlates with PMB (p = 0.032 η2 = 0.144), GCL (p = 0.03 η2 = 0.147) and IPL (p = 0.028 η2 = 0.151) in eyes without HON regardless of the disease subtype. INL presented no microcystic macular oedema and was inversely associated with BPF (p = 0.029 η2 = 0.363) and cerebellum (p = 0.015 η2 = 0.428) in PMS eyes without HON. CONCLUSIONS OCT data correlates with different CNS compartments, even with no anatomical or functional linkage, serving as useful neurodegeneration and inflammation surrogate marker.
Collapse
Affiliation(s)
| | - Maria T Sanz
- Departamento de Didáctica de la Matemática, Universidad de Valencia, Valencia, Spain
| | - Sara Carratalà-Boscà
- Neuroimmunology Unit, La Fe University and Polytechnic Hospital, Valencia, Spain
| | | | - Carmen Alcalá
- Neuroimmunology Unit, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Joan Carreres-Polo
- Radiology Department, La Fe University and Polytechnic Hospital, Valencia, Spain
| | - Enrique España-Gregori
- Ophthalmology Department, La Fe University and Polytechnic Hospital, Valencia, Spain; Surgery Department, Faculty of Medicine, University of Valencia, Spain
| | - Bonaventura Casanova
- Neuroimmunology Unit, La Fe University and Polytechnic Hospital, Valencia, Spain; Medicine Department, Faculty of Medicine, University of Valencia, Spain
| |
Collapse
|
13
|
Mejia-Vergara AJ, Karanjia R, Sadun AA. OCT parameters of the optic nerve head and the retina as surrogate markers of brain volume in a normal population, a pilot study. J Neurol Sci 2020; 420:117213. [PMID: 33271374 DOI: 10.1016/j.jns.2020.117213] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2020] [Revised: 10/12/2020] [Accepted: 10/29/2020] [Indexed: 12/26/2022]
Abstract
The relationship between optical coherence tomography (OCT) measurements of the retinal structures has been described for various neurological diseases including Multiple Sclerosis (MS), Alzheimer's disease (AD) and Parkinson's disease (PD). Brain volume changes, both globally and by area, are associated with some of these same diseases, yet the correlation of OCT and disease is not fully elucidated. Our study looked at normal subjects, at the correlation of OCT measurements and brain volumes, both globally and for specific regions including the pericalcarine grey matter, entorhinal grey matter, and cerebellar volume using a retrospective, cross-sectional cohort study design. Thickness of the retinal nerve fiber layer (RNFL) as measured by OCT, correlated with volume of the pericalcarine grey matter, when adjusted for age and gender. Similarly, thickness of the ganglion cell layer-inner plexiform layer complex may be associated with both entorhinal grey matter volumes and total cerebellar volumes, although our pilot study did not reach statistical significance. This suggests that both eye and brain volumes follow a similar trajectory and understanding the inter-relationship of these structures will aid in the analysis of changes seen in disease. Further studies are needed to longitudinally demonstrate these relationships.
Collapse
Affiliation(s)
- Alvaro J Mejia-Vergara
- Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America; Doheny Eye Institute, Los Angeles, California, United States of America; Department of Neuro-ophthalmology, Oftlamo-Sanitas Eye Institute, School of Medicine, Fundación Universitaria Sanitas, Bogotá, Colombia.
| | - Rustum Karanjia
- Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America; Doheny Eye Institute, Los Angeles, California, United States of America; Department of Ophthalmology, University of Ottawa, Ottawa, Ontario, Canada; Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Alfredo A Sadun
- Doheny Eye Centers, Department of Ophthalmology, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America; Doheny Eye Institute, Los Angeles, California, United States of America
| |
Collapse
|
14
|
Kabaeva AR, Boyko AN, Kulakova OG, Favorova OO. [Radiologically isolated syndrome: prognosis and predictors of conversion to multiple sclerosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2020; 120:7-12. [PMID: 32844624 DOI: 10.17116/jnevro20201200727] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Increased sensitivity and availability of magnetic resonance imaging (MRI) in neurological routine practice led to the fact that more and more experts began to encounter changes typical for multiple sclerosis (MS) according to MRI in the absence of anamnestic and clinical indications of damage to the central nervous system (CNS). This nosological form has been defined as a radiologically isolated syndrome (RIS). More and more RIS cases convert to MS (up to 30% in the first 5 years after RIS diagnosis). At the moment, there are no biological markers that allow combining RIS and MS into one pathological process and early treatment with disease-modifying drugs (DMT). Prospective studies are actively being conducted to identify demographic, clinical, neuroimaging and biochemical conversion predictors. The identification of the molecular biological RIS features, combining these changes with MS, is an urgent scientific task and will allow timely initiation of therapy of the pathological process already at the subclinical stage.
Collapse
Affiliation(s)
- A R Kabaeva
- Pirogov Russian National Research Medical University, Moscow, Russia
| | - A N Boyko
- Pirogov Russian National Research Medical University, Moscow, Russia.,Federal Center of Cerebrovascular Pathology and Stroke, Moscow, Russia
| | - O G Kulakova
- Pirogov Russian National Research Medical University, Moscow, Russia.,Institute of Experimental Cardiology of National Medical Research Center of Cardiology, Moscow, Russia
| | - O O Favorova
- Pirogov Russian National Research Medical University, Moscow, Russia.,Institute of Experimental Cardiology of National Medical Research Center of Cardiology, Moscow, Russia
| |
Collapse
|
15
|
Hosseiny M, Newsome SD, Yousem DM. Radiologically Isolated Syndrome: A Review for Neuroradiologists. AJNR Am J Neuroradiol 2020; 41:1542-1549. [PMID: 32763896 DOI: 10.3174/ajnr.a6649] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 05/04/2020] [Indexed: 12/24/2022]
Abstract
Radiologically isolated syndrome refers to an entity in which white matter lesions fulfilling the criteria for multiple sclerosis occur in individuals without a history of a clinical demyelinating attack or alternative etiology. Since its introduction in 2009, the diagnostic criteria of radiologically isolated syndrome and its clinical relevance have been widely debated by neurologists and radiologists. The aim of the present study was to review the following: 1) historical evolution of radiologically isolated syndrome criteria, 2) clinical and imaging findings in adults and children with radiologically isolated syndrome, 3) imaging features of patients with radiologically isolated syndrome at high risk for conversion to MS, and 4) challenges and controversies for work-up, management, and therapeutic interventions of patients with radiologically isolated syndrome.
Collapse
Affiliation(s)
- M Hosseiny
- From the Department of Radiological Sciences (M.H.), David Geffen School of Medicine at the University of California, Los Angeles, Los Angeles, California
| | - S D Newsome
- Department of Neurology (S.D.N.), Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - D M Yousem
- Russell H. Morgan Department of Radiology and Radiological Sciences (D.M.Y.), Johns Hopkins Medical Institution, Baltimore, Maryland.
| |
Collapse
|
16
|
Aly L, Havla J, Lepennetier G, Andlauer TFM, Sie C, Strauß EM, Hoshi MM, Kümpfel T, Hiltensperger M, Mitsdoerffer M, Mühlau M, Zimmer C, Hemmer B, Korn T, Knier B. Inner retinal layer thinning in radiologically isolated syndrome predicts conversion to multiple sclerosis. Eur J Neurol 2020; 27:2217-2224. [PMID: 32589804 DOI: 10.1111/ene.14416] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 06/18/2020] [Indexed: 12/22/2022]
Abstract
BACKGROUND AND PURPOSE Individuals with radiologically isolated syndrome (RIS) are at increased risk of converting to multiple sclerosis (MS). Early identification of later converters is crucial for optimal treatment decisions. The purpose of this study was to assess the predictive potential of optical coherence tomography (OCT) measures in individuals with RIS regarding conversion to MS. METHODS This prospective observational cohort study included 36 individuals with RIS and 36 healthy controls recruited from two German MS centers. All individuals received baseline OCT and clinical examination and were longitudinally followed over up to 6 years. The primary outcome measure was the conversion to MS. RESULTS During clinical follow-up of 46 (26-58) months (median, 25%-75% interquartile range), eight individuals with RIS converted to MS. Individuals converting to MS showed a thinning of the peripapillary retinal nerve fiber layer (pRNFL) and the common ganglion cell and inner plexiform layer (GCIP) at baseline and during follow-up. Individuals with a pRNFL of 99 µm or lower or a GCIP of 1.99 mm3 or lower were at a 7.5- and 8.0-fold risk for MS conversion, respectively, compared to individuals with higher measures. After correction for other known risk factors, Cox proportional hazards regression revealed a hazard ratio of 1.08 for conversion to MS for each 1 µm decline in pRNFL. CONCLUSIONS Reduction of the pRNFL might be a novel and independent risk factor for conversion to MS in individuals with RIS. OCT might be useful for risk stratification and therapeutic decision-making in individuals with RIS.
Collapse
Affiliation(s)
- L Aly
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| | - J Havla
- Institute of Clinical Neuroimmunology, Ludwig-Maximilians University, Munich, Germany.,Data Integration for Future Medicine (DIFUTURE) Consortium, Technical University of Munich and Ludwig-Maximilians University, Munich, Germany
| | - G Lepennetier
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| | - T F M Andlauer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - C Sie
- Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| | - E-M Strauß
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| | - M-M Hoshi
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Marianne-Strauß-Klinik, Berg, Germany
| | - T Kümpfel
- Institute of Clinical Neuroimmunology, Ludwig-Maximilians University, Munich, Germany
| | - M Hiltensperger
- Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| | - M Mitsdoerffer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| | - M Mühlau
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - C Zimmer
- Department of Neuroradiology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - B Hemmer
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Data Integration for Future Medicine (DIFUTURE) Consortium, Technical University of Munich and Ludwig-Maximilians University, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - T Korn
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - B Knier
- Department of Neurology, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany.,Institute of Experimental Neuroimmunology, Technical University of Munich, Munich, Germany
| |
Collapse
|
17
|
Abstract
PURPOSE OF REVIEW This review provides the reader with updated information needed to make an accurate diagnosis of radiologically isolated syndrome (RIS), discusses controversies and considerations related to therapeutic intervention in RIS, and summarizes ongoing clinical intervention trials. RECENT FINDINGS Individuals with RIS lack clinical neurological symptoms but are at risk for the subsequent development of a first clinical neurological event consistent with a diagnosis of multiple sclerosis. There are two ongoing clinical intervention trials to determine whether disease-modifying treatments for multiple sclerosis can delay or prevent a first clinical event in individuals with RIS. If clinical trials demonstrate a beneficial effect of disease-modifying therapy, such interventions should be considered in individuals with RIS.
Collapse
|
18
|
Van Schependom J, Guldolf K, D'hooghe MB, Nagels G, D'haeseleer M. Detecting neurodegenerative pathology in multiple sclerosis before irreversible brain tissue loss sets in. Transl Neurodegener 2019; 8:37. [PMID: 31827784 PMCID: PMC6900860 DOI: 10.1186/s40035-019-0178-4] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2019] [Accepted: 11/07/2019] [Indexed: 12/29/2022] Open
Abstract
Background Multiple sclerosis (MS) is a complex chronic inflammatory and degenerative disorder of the central nervous system. Accelerated brain volume loss, or also termed atrophy, is currently emerging as a popular imaging marker of neurodegeneration in affected patients, but, unfortunately, can only be reliably interpreted at the time when irreversible tissue damage likely has already occurred. Timing of treatment decisions based on brain atrophy may therefore be viewed as suboptimal. Main body This Narrative Review focuses on alternative techniques with the potential of detecting neurodegenerative events in the brain of subjects with MS prior to the atrophic stage. First, metabolic and molecular imaging provide the opportunity to identify early subcellular changes associated with energy dysfunction, which is an assumed core mechanism of axonal degeneration in MS. Second, cerebral hypoperfusion has been observed throughout the entire clinical spectrum of the disorder but it remains an open question whether this serves as an alternative marker of reduced metabolic activity, or exists as an independent contributing process, mediated by endothelin-1 hyperexpression. Third, both metabolic and perfusion alterations may lead to repercussions at the level of network performance and structural connectivity, respectively assessable by functional and diffusion tensor imaging. Fourth and finally, elevated body fluid levels of neurofilaments are gaining interest as a biochemical mirror of axonal damage in a wide range of neurological conditions, with early rises in patients with MS appearing to be predictive of future brain atrophy. Conclusions Recent findings from the fields of advanced neuroradiology and neurochemistry provide the promising prospect of demonstrating degenerative brain pathology in patients with MS before atrophy has installed. Although the overall level of evidence on the presented topic is still preliminary, this Review may pave the way for further longitudinal and multimodal studies exploring the relationships between the abovementioned measures, possibly leading to novel insights in early disease mechanisms and therapeutic intervention strategies.
Collapse
Affiliation(s)
- Jeroen Van Schependom
- 1Neurology Department, Universitair Ziekenhuis Brussel; Center for Neurosciences, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussel, Belgium.,2Radiology Department Universitair Ziekenhuis Brussel, Brussels, Belgium
| | - Kaat Guldolf
- 1Neurology Department, Universitair Ziekenhuis Brussel; Center for Neurosciences, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussel, Belgium
| | - Marie Béatrice D'hooghe
- 1Neurology Department, Universitair Ziekenhuis Brussel; Center for Neurosciences, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussel, Belgium.,Nationaal Multiple Sclerose Centrum, Melsbroek, Belgium
| | - Guy Nagels
- 1Neurology Department, Universitair Ziekenhuis Brussel; Center for Neurosciences, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussel, Belgium.,Nationaal Multiple Sclerose Centrum, Melsbroek, Belgium
| | - Miguel D'haeseleer
- 1Neurology Department, Universitair Ziekenhuis Brussel; Center for Neurosciences, Vrije Universiteit Brussel, Laarbeeklaan 101, 1090 Brussel, Belgium.,Nationaal Multiple Sclerose Centrum, Melsbroek, Belgium
| |
Collapse
|
19
|
Papadopoulou A, Oertel FC, Gaetano L, Kuchling J, Zimmermann H, Chien C, Siebert N, Asseyer S, Bellmann-Strobl J, Ruprecht K, Chakravarty MM, Scheel M, Magon S, Wuerfel J, Paul F, Brandt AU. Attack-related damage of thalamic nuclei in neuromyelitis optica spectrum disorders. J Neurol Neurosurg Psychiatry 2019; 90:1156-1164. [PMID: 31127016 DOI: 10.1136/jnnp-2018-320249] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 03/18/2019] [Accepted: 04/01/2019] [Indexed: 11/04/2022]
Abstract
OBJECTIVES In neuromyelitis optica spectrum disorders (NMOSD) thalamic damage is controversial, but thalamic nuclei were never studied separately. We aimed at assessing volume loss of thalamic nuclei in NMOSD. We hypothesised that only specific nuclei are damaged, by attacks affecting structures from which they receive afferences: the lateral geniculate nucleus (LGN), due to optic neuritis (ON) and the ventral posterior nucleus (VPN), due to myelitis. METHODS Thirty-nine patients with aquaporin 4-IgG seropositive NMOSD (age: 50.1±14.1 years, 36 women, 25 with prior ON, 36 with prior myelitis) and 37 healthy controls (age: 47.8 ± 12.5 years, 32 women) were included in this cross-sectional study. Thalamic nuclei were assessed in magnetic resonance images, using a multi-atlas-based approach of automated segmentation. Retinal optical coherence tomography was also performed. RESULTS Patients with ON showed smaller LGN volumes (181.6±44.2 mm3) compared with controls (198.3±49.4 mm3; B=-16.97, p=0.004) and to patients without ON (206.1±50 mm3 ; B=-23.74, p=0.001). LGN volume was associated with number of ON episodes (Rho=-0.536, p<0.001), peripapillary retinal nerve fibre layer thickness (B=0.70, p<0.001) and visual function (B=-0.01, p=0.002). Although VPN was not smaller in patients with myelitis (674.3±67.5 mm3) than controls (679.7±68.33; B=-7.36, p=0.594), we found reduced volumes in five patients with combined myelitis and brainstem attacks (B=-76.18, p=0.017). Volumes of entire thalamus and other nuclei were not smaller in patients than controls. CONCLUSION These findings suggest attack-related anterograde degeneration rather than diffuse thalamic damage in NMOSD. They also support a potential role of LGN volume as an imaging marker of structural brain damage in these patients.
Collapse
Affiliation(s)
- Athina Papadopoulou
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Frederike Cosima Oertel
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Laura Gaetano
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center, Basel, Switzerland.,F. Hoffmann-La Roche, Basel, Switzerland
| | - Joseph Kuchling
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Hanna Zimmermann
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Claudia Chien
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Nadja Siebert
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Susanna Asseyer
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Judith Bellmann-Strobl
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Klemens Ruprecht
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - M Mallar Chakravarty
- Cerebral Imaging Centre, Douglas Mental Health University Institute, Montreal, Québec, Canada.,Department of Psychiatry and Biomedical engineering, McGill University, Montreal, Québec, Canada
| | - Michael Scheel
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Department of Neuroradiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Stefano Magon
- Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedicine, University Hospital Basel and University of Basel, Basel, Switzerland.,Medical Image Analysis Center, Basel, Switzerland
| | - Jens Wuerfel
- Medical Image Analysis Center, Basel, Switzerland
| | - Friedemann Paul
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany.,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - Alexander Ulrich Brandt
- Neurocure Clinical Research Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of health, Berlin, Germany .,Experimental and Clinical Research Center, Max Delbrueck Center for Molecular Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Department of Neurology, University of California Irvine, Irvine, California, USA
| |
Collapse
|