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Reive BS, Lau V, Sánchez-Lafuente CL, Henri-Bhargava A, Kalynchuk LE, Tremblay MÈ, Caruncho HJ. The Inflammation-Induced Dysregulation of Reelin Homeostasis Hypothesis of Alzheimer's Disease. J Alzheimers Dis 2024:JAD240088. [PMID: 38995785 DOI: 10.3233/jad-240088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
Alzheimer's disease (AD) accounts for most dementia cases, but we lack a complete understanding of the mechanisms responsible for the core pathology associated with the disease (e.g., amyloid plaque and neurofibrillary tangles). Inflammation has been identified as a key contributor of AD pathology, with recent evidence pointing towards Reelin dysregulation as being associated with inflammation. Here we describe Reelin signaling and outline existing research involving Reelin signaling in AD and inflammation. Research is described pertaining to the inflammatory and immunological functions of Reelin before we propose a mechanism through which inflammation renders Reelin susceptible to dysregulation resulting in the induction and exacerbation of AD pathology. Based on this hypothesis, it is predicted that disorders of both inflammation (including peripheral inflammation and neuroinflammation) and Reelin dysregulation (including disorders associated with upregulated Reelin expression and disorders of Reelin downregulation) have elevated risk of developing AD. We conclude with a description of AD risk in various disorders involving Reelin dysregulation and inflammation.
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Affiliation(s)
- Brady S Reive
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Victor Lau
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | | | - Alexandre Henri-Bhargava
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Vancouver Island Health Authority, Victoria, BC, Canada
- Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada
| | - Lisa E Kalynchuk
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
| | - Marie-Ève Tremblay
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Mental Health Research Cluster, University of Victoria, Victoria, BC, Canada
| | - Hector J Caruncho
- Division of Medical Sciences, University of Victoria, Victoria, BC, Canada
- Mental Health Research Cluster, University of Victoria, Victoria, BC, Canada
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Brier MR, Schindler SE, Salter A, Perantie D, Shelley N, Judge B, Keefe S, Kirmess KM, Verghese PB, Yarasheski KE, Venkatesh V, Raji CA, Gordon BA, Bateman RJ, Morris JC, Naismith RT, Holtzman DM, Benzinger TLS, Cross AH. Unexpected Low Rate of Amyloid-β Pathology in Multiple Sclerosis Patients. Ann Neurol 2024. [PMID: 38963256 DOI: 10.1002/ana.27027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/29/2024] [Accepted: 06/13/2024] [Indexed: 07/05/2024]
Abstract
The life expectancy of people with multiple sclerosis (MS) has increased, yet we have noted that development of a typical Alzheimer disease dementia syndrome is uncommon. We hypothesized that Alzheimer disease pathology is uncommon in MS patients. In 100 MS patients, the rate of amyloid-β plasma biomarker positivity was approximately half the rate in 300 non-MS controls matched on age, sex, apolipoprotein E proteotype, and cognitive status. Interestingly, most MS patients who did have amyloid-β pathology had features atypical for MS at diagnosis. These results support that MS is associated with reduced Alzheimer disease risk, and suggest new avenues of research. ANN NEUROL 2024.
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Affiliation(s)
- Matthew R Brier
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Suzanne E Schindler
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Amber Salter
- Department of Neurology, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Dana Perantie
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Nicole Shelley
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Bradley Judge
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Sarah Keefe
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | | | | | | | | | - Cyrus A Raji
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Brian A Gordon
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Randall J Bateman
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - John C Morris
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Robert T Naismith
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - David M Holtzman
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
| | - Tammie L S Benzinger
- Mallinckrodt Institute of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Anne H Cross
- Department of Neurology, Washington University in St. Louis, St. Louis, MO, USA
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3
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DiMauro KA, Swetlik C, Cohen JA. Management of multiple sclerosis in older adults: review of current evidence and future perspectives. J Neurol 2024; 271:3794-3805. [PMID: 38689068 PMCID: PMC11233312 DOI: 10.1007/s00415-024-12384-3] [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: 12/20/2023] [Revised: 04/02/2024] [Accepted: 04/14/2024] [Indexed: 05/02/2024]
Abstract
IMPORTANCE The prevalence of multiple sclerosis (MS) and aging MS patients is increasing worldwide. There is a need to better understand this MS sub-population, which historically is underrepresented in the literature. This narrative review examines the evolving demographics, disease course, and treatments for older adults with MS (OAMS) to address current knowledge gaps and highlight areas critical for future research. OBSERVATIONS OAMS populations require special consideration by clinicians. Older individuals have different care needs than individuals with adult onset MS who are mid-life or younger. Comorbidities, an aging immune system, increasing neurodegeneration, decreasing neurologic reserve, changing benefit/risk relationship for disease modifying therapies (DMTs), and wellness require special attention to provide holistic comprehensive care. Active areas of research include potential cessation of DMTs and novel disease targets. CONCLUSIONS AND RELEVANCE This review highlights both the current knowledge and information gaps in the literature that are critical to understanding and properly managing OAMS. The aims are to inform MS clinicians in their current practice, as well as inspire future studies which are critical to providing quality and evidence-based care for OAMS.
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Affiliation(s)
- Kimberly A DiMauro
- Mellen Center for MS Treatment and Research, Cleveland Clinic, Neurological Institute, Cleveland, OH, USA
| | - Carol Swetlik
- Mellen Center for MS Treatment and Research, Cleveland Clinic, Neurological Institute, Cleveland, OH, USA
| | - Jeffrey A Cohen
- Mellen Center for MS Treatment and Research, Cleveland Clinic, Neurological Institute, Cleveland, OH, USA.
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4
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Fleming NH, Bahorik A, Xia F, Yaffe K. Risk of dementia in older veterans with multiple sclerosis. Mult Scler Relat Disord 2024; 82:105372. [PMID: 38104510 PMCID: PMC11001267 DOI: 10.1016/j.msard.2023.105372] [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: 08/01/2023] [Revised: 11/29/2023] [Accepted: 12/10/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND While it is widely accepted that multiple sclerosis (MS) often causes cognitive dysfunction, it is thought that these cognitive symptoms rarely progress to dementia. However, this has not been thoroughly investigated. The objectives of this cohort study are to determine whether people with MS have an increased risk of dementia compared to the general population and to identify factors, such as geographic latitude, which may modify this association. METHODS We studied data from a random sample of US veterans aged ≥ 55 years followed at Veterans Affairs Health Care Systems nationwide from 1999 to 2019. We identified all patients diagnosed with MS using ICD codes over a two-year baseline period. We then identified a comparison cohort of patients without MS matched 1:1 on sex, age, race, and first encounter date. We constructed Cox proportional hazards regression models to determine the association between MS and dementia while controlling for demographic factors and comorbidities, with additional models to examine subgroup effects. We used Fine-Gray subdistribution hazard models accounting for competing risk of death to evaluate the sensitivity of the findings. RESULTS The study included 4084 MS patients and a matched group of 4084 non-MS patients. Overall, patients had mean age 66, were 93.6% male, and 88.1% non-Hispanic White, with mean follow-up time 9.5 years (MS) and 10.8 years (non-MS). In unadjusted models, veterans with MS had greater risk of dementia compared to matched controls (cumulative incidence 16.7% vs 12.4%; Cox HR 1.58, 95% CI 1.41-1.78). The increased risk remained after adjustment for potential confounders (adjusted HR 1.56, 95% CI 1.39-1.76) and when considering death as a competing risk (Fine-Gray HR 1.36, 95% CI 1.21-1.53). The magnitude of the MS-dementia association increased with rising geographic latitude (North HR 1.86, 1.51-2.30; Central HR 1.61, 1.42-1.82; South HR 1.39, 1.18-1.64; interaction p = 0.04) and younger baseline age (interaction p<0.001). CONCLUSIONS Among older veterans with MS, risk of dementia diagnosis was higher compared to matched controls even after controlling for comorbidities. The risk difference was highest in northern regions and in younger patients. Clinicians caring for older MS patients should be aware of this risk and offer screening and treatment accordingly.
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Affiliation(s)
- Nathaniel H Fleming
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, 505 Parnassus Ave, Box 0114, San Francisco, CA 94143, United States; San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States.
| | - Amber Bahorik
- San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 1651 4th Street, San Francisco, CA 94143, United States
| | - Feng Xia
- San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Northern California Institute for Research and Education, 4150 Clement Street, San Francisco, CA 94121, United States
| | - Kristine Yaffe
- Department of Neurology, Weill Institute for Neurosciences, University of California, San Francisco, 505 Parnassus Ave, Box 0114, San Francisco, CA 94143, United States; San Francisco Veterans Affairs Health Care System, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Psychiatry, Weill Institute for Neurosciences, University of California, San Francisco, 1651 4th Street, San Francisco, CA 94143, United States; Northern California Institute for Research and Education, 4150 Clement Street, San Francisco, CA 94121, United States; Department of Epidemiology and Biostatistics, University of California, San Francisco, 550 16th Street, San Francisco, CA 94143, United States
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5
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Prado P, Medel V, Gonzalez-Gomez R, Sainz-Ballesteros A, Vidal V, Santamaría-García H, Moguilner S, Mejia J, Slachevsky A, Behrens MI, Aguillon D, Lopera F, Parra MA, Matallana D, Maito MA, Garcia AM, Custodio N, Funes AÁ, Piña-Escudero S, Birba A, Fittipaldi S, Legaz A, Ibañez A. The BrainLat project, a multimodal neuroimaging dataset of neurodegeneration from underrepresented backgrounds. Sci Data 2023; 10:889. [PMID: 38071313 PMCID: PMC10710425 DOI: 10.1038/s41597-023-02806-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 11/30/2023] [Indexed: 12/18/2023] Open
Abstract
The Latin American Brain Health Institute (BrainLat) has released a unique multimodal neuroimaging dataset of 780 participants from Latin American. The dataset includes 530 patients with neurodegenerative diseases such as Alzheimer's disease (AD), behavioral variant frontotemporal dementia (bvFTD), multiple sclerosis (MS), Parkinson's disease (PD), and 250 healthy controls (HCs). This dataset (62.7 ± 9.5 years, age range 21-89 years) was collected through a multicentric effort across five Latin American countries to address the need for affordable, scalable, and available biomarkers in regions with larger inequities. The BrainLat is the first regional collection of clinical and cognitive assessments, anatomical magnetic resonance imaging (MRI), resting-state functional MRI (fMRI), diffusion-weighted MRI (DWI), and high density resting-state electroencephalography (EEG) in dementia patients. In addition, it includes demographic information about harmonized recruitment and assessment protocols. The dataset is publicly available to encourage further research and development of tools and health applications for neurodegeneration based on multimodal neuroimaging, promoting the assessment of regional variability and inclusion of underrepresented participants in research.
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Affiliation(s)
- Pavel Prado
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Escuela de Fonoaudiología, Facultad de Odontología y Ciencias de la Rehabilitación, Universidad San Sebastián, Santiago, Chile
| | - Vicente Medel
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Raul Gonzalez-Gomez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | | | - Victor Vidal
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
| | - Hernando Santamaría-García
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
| | - Sebastian Moguilner
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Jhony Mejia
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Departamento de Ingeniería Biomédica, Universidad de Los Andes, Bogotá, Colombia
- Memory and Aging Clinic, University of California San Francisco, San Francisco, USA
| | - Andrea Slachevsky
- Neuropsychology and Clinical Neuroscience Laboratory (LANNEC), Physiopathology Department - Institute of Biomedical Sciences (ICBM), Neurocience and East Neuroscience Departments, Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Geroscience Center for Brain Health and Metabolism, (GERO), Santiago de Chile, Chile
- Memory and Neuropsychiatric Center (CMYN), Memory Unit - Neurology Department, Hospital del Salvador and Faculty of Medicine, University of Chile, Santiago de Chile, Chile
- Servicio de Neurología, Departamento de Medicina, Clínica Alemana-Universidad del Desarrollo, Santiago de Chile, Chile
| | - Maria Isabel Behrens
- Centro de Investigación Clínica Avanzada (CICA), Facultad de Medicina-Hospital Clínico, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Neurocirugía, Hospital Clínico Universidad de Chile, Independencia, Santiago, 8380430, Chile
- Departamento de Neurociencia, Facultad de Medicina, Universidad de Chile, Independencia, Santiago, 8380453, Chile
- Departamento de Neurología y Psiquiatría, Clínica Alemana-Universidad del Desarrollo, Santiago, 8370065, Chile
| | - David Aguillon
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellín, Colombia
| | - Francisco Lopera
- Grupo de Neurociencias de Antioquia de la Universidad de Antioquia, Medellín, Colombia
| | - Mario A Parra
- School of Psychological Sciences and Health, University of Strathclyde, Glasgow, United Kingdom
| | - Diana Matallana
- PhD Neuroscience Program, Physiology and Psychiatry Departments, Pontificia Universidad Javeriana, Bogotá, Colombia
- Memory and Cognition Center Intellectus, Hospital Universitario San Ignacio, Bogotá, Colombia
- Mental Health Department, Hospital Universitario Fundación Santa Fe de Bogotá, Memory Clinic, Bogotá, Colombia
| | - Marcelo Adrián Maito
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Adolfo M Garcia
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Departamento de Lingüística y Literatura, Facultad de Humanidades, Universidad de Santiago de Chile, Santiago, Chile
| | - Nilton Custodio
- Unit Cognitive Impairment and Dementia Prevention, Peruvian Institute of Neurosciences, Lima, Peru
| | - Alberto Ávila Funes
- Geriatrics Department, Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | - Stefanie Piña-Escudero
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA
- Memory and Aging Clinic, University of California San Francisco, San Francisco, USA
| | - Agustina Birba
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
- Instituto Universitario de Neurociencia, Universidad de La Laguna, Tenerife, Spain
- Facultad de Psicología, Universidad de La Laguna, Tenerife, Spain
| | - Sol Fittipaldi
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Agustina Legaz
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina
| | - Agustín Ibañez
- Latin American Brain Health Institute (BrainLat), Universidad Adolfo Ibáñez, Santiago, Chile.
- Global Brain Health Institute, University of California San Francisco, San Francisco, USA.
- Global Brain Health Institute, Trinity College Dublin, Dublin, Ireland.
- Cognitive Neuroscience Center (CNC), Universidad de San Andrés & CONICET, Buenos Aires, Argentina.
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Xue H, Zeng L, Liu S. Unraveling the link: exploring the causal relationship between diabetes, multiple sclerosis, migraine, and Alzheimer's disease through Mendelian randomization. Front Neurosci 2023; 17:1233601. [PMID: 37694124 PMCID: PMC10488716 DOI: 10.3389/fnins.2023.1233601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Accepted: 07/26/2023] [Indexed: 09/12/2023] Open
Abstract
Introduction Observational studies suggested that diabetes mellitus [type 1 diabetes mellitus (T1DM), type 2 diabetes mellitus (T2DM)], multiple sclerosis (MS), and migraine are associated with Alzheimer's disease (AD). However, the causal link has not been fully elucidated. Thus, we aim to assess the causal link between T1DM, T2DM, MS, and migraine with the risk of AD using a two-sample Mendelian randomization (MR) study. Methods Genetic instruments were identified for AD, T1DM, T2DM, MS, and migraine respectively from genome-wide association study. MR analysis was conducted mainly using the inverse-variance weighted (IVW) method. Results The result of IVW method demonstrated that T2DM is causally associated with risk of AD (OR: 1.237, 95% CI: 1.099-1.391, P: 0.0003). According to the IVW method, there is no causal association between TIDM, MS, migraine, and the risk of AD (all p value > 0.05). Here we show, there is a causal link between T2DM and the risk of AD. Conclusion These findings highlight the significance of active monitoring and prevention of AD in T2DM patients. Further studies are required to actively search for the risk factors of T2DM combined with AD, explore the markers that can predict T2DM combined with AD, and intervene and treat early.
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Affiliation(s)
- Hua Xue
- Department of Neurology, Sichuan Taikang Hospital, Chengdu, Sichuan, China
| | - Li Zeng
- Department of Respiratory, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, China
| | - Shuangjuan Liu
- Department of Neurology, Qionglai People’s Hospital, Chengdu, Sichuan, China
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7
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Temmerman J, Engelborghs S, Bjerke M, D’haeseleer M. Cerebrospinal fluid inflammatory biomarkers for disease progression in Alzheimer's disease and multiple sclerosis: a systematic review. Front Immunol 2023; 14:1162340. [PMID: 37520580 PMCID: PMC10374015 DOI: 10.3389/fimmu.2023.1162340] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 06/12/2023] [Indexed: 08/01/2023] Open
Abstract
Inflammatory processes are involved in the pathophysiology of both Alzheimer's disease (AD) and multiple sclerosis (MS) but their exact contribution to disease progression remains to be deciphered. Biomarkers are needed to define pathophysiological processes of these disorders, who may increasingly co-exist in the elderly generations of the future, due to the rising prevalence in both and ameliorated treatment options with improved life expectancy in MS. The purpose of this review was to provide a systematic overview of inflammatory biomarkers, as measured in the cerebrospinal fluid (CSF), that are associated with clinical disease progression. International peer-reviewed literature was screened using the PubMed and Web of Science databases. Disease progression had to be measured using clinically validated tests representing baseline functional and/or cognitive status, the evolution of such clinical scores over time and/or the transitioning from one disease stage to a more severe stage. The quality of included studies was systematically evaluated using a set of questions for clinical, neurochemical and statistical characteristics of the study. A total of 84 papers were included (twenty-five for AD and 59 for MS). Elevated CSF levels of chitinase-3-like protein 1 (YKL-40) were associated with disease progression in both AD and MS. Osteopontin and monocyte chemoattractant protein-1 were more specifically related to disease progression in AD, whereas the same was true for interleukin-1 beta, tumor necrosis factor alpha, C-X-C motif ligand 13, glial fibrillary acidic protein and IgG oligoclonal bands in MS. We observed a broad heterogeneity of studies with varying cohort characterization, non-disclosure of quality measures for neurochemical analyses and a lack of adequate longitudinal designs. Most of the retrieved biomarkers are related to innate immune system activity, which seems to be an important mediator of clinical disease progression in AD and MS. Overall study quality was limited and we have framed some recommendations for future biomarker research in this field. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42021264741.
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Affiliation(s)
- Joke Temmerman
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
| | - Sebastiaan Engelborghs
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
| | - Maria Bjerke
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universiteit Antwerpen, Department of Biomedical Sciences and Institute Born-Bunge, Reference Center for Biological Markers of Dementia (BIODEM), Wilrijk, Antwerp, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Clinical Biology, Laboratory of Clinical Neurochemistry, Jette, Brussels, Belgium
| | - Miguel D’haeseleer
- Vrije Universiteit Brussel, Center for Neurosciences (C4N), Jette, Brussels, Belgium
- Universitair Ziekenhuis Brussel, Department of Neurology, Jette, Brussels, Belgium
- National MS Center (NMSC), Neurology, Melsbroek, Steenokkerzeel, Belgium
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8
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Macaron G, Larochelle C, Arbour N, Galmard M, Girard JM, Prat A, Duquette P. Impact of aging on treatment considerations for multiple sclerosis patients. Front Neurol 2023; 14:1197212. [PMID: 37483447 PMCID: PMC10361071 DOI: 10.3389/fneur.2023.1197212] [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: 03/30/2023] [Accepted: 05/18/2023] [Indexed: 07/25/2023] Open
Abstract
With a rapidly aging global population and improvement of outcomes with newer multiple sclerosis (MS)-specific disease-modifying therapies (DMTs), the epidemiology of MS has shifted to an older than previously described population, with a peak prevalence of the disease seen in the 55-65 years age group. Changes in the pathophysiology of MS appear to be age-dependent. Several studies have identified a consistent phase of disability worsening around the fifth decade of life. The latter appears to be independent of prior disease duration and inflammatory activity and concomitant to pathological changes from acute focal active demyelination to chronic smoldering plaques, slow-expanding lesions, and compartmentalized inflammation within the central nervous system (CNS). On the other hand, decreased CNS tissue reserve and poorer remyelinating capacity with aging lead to loss of relapse recovery potential. Aging with MS may imply longer exposure to DMTs, although treatment efficacy in patients >55 years has not been evaluated in pivotal randomized controlled trials and appears to decrease with age. Older individuals are more prone to adverse effects of DMTs, an important aspect of treatment individualization. Aging with MS also implies a higher global burden of comorbid illnesses that contribute to overall impairments and represent a crucial confounder in interpreting clinical worsening. Discontinuation of DMTs after age 55, when no evidence of clinical or radiological activity is detected, is currently under the spotlight. In this review, we will discuss the impact of aging on MS pathobiology, the effect of comorbidities and other confounders on clinical worsening, and focus on current therapeutic considerations in this age group.
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Affiliation(s)
- Gabrielle Macaron
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Neuroimmunology Research Laboratory, Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Faculté de Médecine, Université Saint-Joseph de Beyrouth, Beirut, Lebanon
| | - Catherine Larochelle
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Neuroimmunology Research Laboratory, Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
| | - Nathalie Arbour
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Neuroimmunology Research Laboratory, Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
| | - Manon Galmard
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
| | - Jean Marc Girard
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Neuroimmunology Research Laboratory, Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
| | - Alexandre Prat
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Neuroimmunology Research Laboratory, Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
| | - Pierre Duquette
- Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
- Department of Neurosciences, Faculty of Medicine, Université de Montréal, Montréal, QC, Canada
- Neuroimmunology Research Laboratory, Centre de Recherche du Centre Hospitalier de l’Université de Montréal, Montréal, QC, Canada
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9
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Cho EB, Jung SY, Jung JH, Yeo Y, Kim HJ, Han K, Shin DW, Min JH. The risk of dementia in multiple sclerosis and neuromyelitis optica spectrum disorder. Front Neurosci 2023; 17:1214652. [PMID: 37397465 PMCID: PMC10309000 DOI: 10.3389/fnins.2023.1214652] [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: 04/30/2023] [Accepted: 05/29/2023] [Indexed: 07/04/2023] Open
Abstract
Introduction Cognitive impairment is a common feature of multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD). However, there is a lack of population-based study of dementia risk in these disorders. In the present study, the risk of dementia in MS and NMOSD patients in Republic of Korea was estimated. Methods Data analyzed in this study were obtained from the Korean National Health Insurance Service (KNHIS) database between January 2010 and December 2017. The study included 1,347 MS patients and 1,460 NMOSD patients ≥40 years of age who had not been diagnosed with dementia within 1 year prior to the index date. Matched controls were selected based on age, sex, and the presence of hypertension, diabetes mellitus, or dyslipidemia. Results In MS and NMOSD patients, the risk of developing any dementia [adjusted hazard ratio (aHR) = 2.34; 95% confidence interval (CI) = 1.84-2.96 and aHR = 2.19; 95% CI = 1.61-3.00, respectively], Alzheimer's disease [AD; aHR = 2.23; 95% confidence interval (CI) = 1.70-2.91 and aHR = 1.99; 95% CI = 1.38-2.88, respectively], and vascular dementia (aHR = 3.75; 95% CI = 1.91-7.35 and aHR = 3.21; 95% CI = 1.47-7.02, respectively) was higher compared with the matched controls. NMOSD patients had a lower risk of any dementia and AD compared with MS patients after adjusting for age, sex, income, hypertension, diabetes, and dyslipidemia (aHR = 0.67 and 0.62). Conclusion The risk of dementia increased in MS and NMOSD patients and dementia risk was higher in MS than in NMOSD.
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Affiliation(s)
- Eun Bin Cho
- Department of Neurology, College of Medicine, Gyeongsang Institute of Health Science, Gyeongsang National University, Jinju, Republic of Korea
- Department of Neurology, Gyeongsang National University Changwon Hospital, Changwon, Republic of Korea
| | - Se Young Jung
- Department of Family Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
- Department of Digital Healthcare, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | - Jin-Hyung Jung
- Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Suwon, Republic of Korea
| | - Yohwan Yeo
- Department of Family Medicine, College of Medicine, Hallym University Dongtan Sacred Heart Hospital, Hwaseong, Republic of Korea
| | - Hee Jin Kim
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
| | - Kyungdo Han
- Department of Statistics and Actuarial Science, Soongsil University, Seoul, Republic of Korea
| | - Dong Wook Shin
- Department of Family Medicine and Supportive Care Center, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Department of Clinical Research Design and Evaluation, Sungkyunkwan University, Seoul, Republic of Korea
- Department of Digital Health, Samsung Advanced Institute of Health Science and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
- Center for Wireless and Population Health Systems, University of California San Diego, La Jolla, CA, United States
| | - Ju-Hong Min
- Department of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
- Neuroscience Center, Samsung Medical Center, Seoul, Republic of Korea
- Department of Health Sciences and Technology, Samsung Advanced Institute for Health Sciences and Technology (SAIHST), Sungkyunkwan University, Seoul, Republic of Korea
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10
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Fominykh V, Shadrin AA, Jaholkowski PP, Bahrami S, Athanasiu L, Wightman DP, Uffelmann E, Posthuma D, Selbæk G, Dale AM, Djurovic S, Frei O, Andreassen OA. Shared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system. Neurobiol Dis 2023:106174. [PMID: 37286172 DOI: 10.1016/j.nbd.2023.106174] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 04/27/2023] [Accepted: 05/26/2023] [Indexed: 06/09/2023] Open
Abstract
BACKGROUND Neuroinflammation is involved in the pathophysiology of Alzheimer's disease (AD), including immune-linked genetic variants and molecular pathways, microglia and astrocytes. Multiple Sclerosis (MS) is a chronic, immune-mediated disease with genetic and environmental risk factors and neuropathological features. There are clinical and pathobiological similarities between AD and MS. Here, we investigated shared genetic susceptibility between AD and MS to identify putative pathological mechanisms shared between neurodegeneration and the immune system. METHODS We analysed GWAS data for late-onset AD (N cases = 64,549, N controls = 634,442) and MS (N cases = 14,802, N controls = 26,703). Gaussian causal mixture modelling (MiXeR) was applied to characterise the genetic architecture and overlap between AD and MS. Local genetic correlation was investigated with Local Analysis of [co]Variant Association (LAVA). The conjunctional false discovery rate (conjFDR) framework was used to identify the specific shared genetic loci, for which functional annotation was conducted with FUMA and Open Targets. RESULTS MiXeR analysis showed comparable polygenicities for AD and MS (approximately 1800 trait-influencing variants) and genetic overlap with 20% of shared trait-influencing variants despite negligible genetic correlation (rg = 0.03), suggesting mixed directions of genetic effects across shared variants. conjFDR analysis identified 16 shared genetic loci, with 8 having concordant direction of effects in AD and MS. Annotated genes in shared loci were enriched in molecular signalling pathways involved in inflammation and the structural organisation of neurons. CONCLUSIONS Despite low global genetic correlation, the current results provide evidence for polygenic overlap between AD and MS. The shared loci between AD and MS were enriched in pathways involved in inflammation and neurodegeneration, highlighting new opportunities for future investigation.
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Affiliation(s)
- Vera Fominykh
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway.
| | - Alexey A Shadrin
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Piotr P Jaholkowski
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Shahram Bahrami
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Lavinia Athanasiu
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway
| | - Douglas P Wightman
- Department of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Emil Uffelmann
- Department of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Danielle Posthuma
- Department of Complex Trait Genetics, Centre for Neurogenomics and Cognitive Research, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands; Department of Child and Adolescent Psychiatry and Pediatric Psychology, Section Complex Trait Genetics, Amsterdam Neuroscience, Vrije Universiteit Medical Center, Amsterdam, the Netherlands
| | - Geir Selbæk
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway; Vestfold Hospital Trust, Norwegian National Centre for Ageing and Health, Tonsberg, Vestfold, Norway
| | - Anders M Dale
- Department of Radiology, University of California San Diego, La Jolla, California, USA; Multimodal Imaging Laboratory, University of California San Diego, La Jolla, California, USA; Department of Psychiatry, University of California San Diego, La Jolla, California, USA; Department of Neurosciences, University of California San Diego, La Jolla, California, USA
| | - Srdjan Djurovic
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Medical Genetics, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for Neurodevelopmental disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
| | - Oleksandr Frei
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Department of Informatics, Centre for Bioinformatics, University of Oslo, Norway
| | - Ole A Andreassen
- NORMENT Centre, Institute of Clinical Medicine, University of Oslo, Oslo, Norway; Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway; K.G. Jebsen Centre for Neurodevelopmental disorders, University of Oslo and Oslo University Hospital, Oslo, Norway
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11
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Depp C, Sun T, Sasmita AO, Spieth L, Berghoff SA, Nazarenko T, Overhoff K, Steixner-Kumar AA, Subramanian S, Arinrad S, Ruhwedel T, Möbius W, Göbbels S, Saher G, Werner HB, Damkou A, Zampar S, Wirths O, Thalmann M, Simons M, Saito T, Saido T, Krueger-Burg D, Kawaguchi R, Willem M, Haass C, Geschwind D, Ehrenreich H, Stassart R, Nave KA. Myelin dysfunction drives amyloid-β deposition in models of Alzheimer's disease. Nature 2023; 618:349-357. [PMID: 37258678 PMCID: PMC10247380 DOI: 10.1038/s41586-023-06120-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 72.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2021] [Accepted: 04/21/2023] [Indexed: 06/02/2023]
Abstract
The incidence of Alzheimer's disease (AD), the leading cause of dementia, increases rapidly with age, but why age constitutes the main risk factor is still poorly understood. Brain ageing affects oligodendrocytes and the structural integrity of myelin sheaths1, the latter of which is associated with secondary neuroinflammation2,3. As oligodendrocytes support axonal energy metabolism and neuronal health4-7, we hypothesized that loss of myelin integrity could be an upstream risk factor for neuronal amyloid-β (Aβ) deposition, the central neuropathological hallmark of AD. Here we identify genetic pathways of myelin dysfunction and demyelinating injuries as potent drivers of amyloid deposition in mouse models of AD. Mechanistically, myelin dysfunction causes the accumulation of the Aβ-producing machinery within axonal swellings and increases the cleavage of cortical amyloid precursor protein. Suprisingly, AD mice with dysfunctional myelin lack plaque-corralling microglia despite an overall increase in their numbers. Bulk and single-cell transcriptomics of AD mouse models with myelin defects show that there is a concomitant induction of highly similar but distinct disease-associated microglia signatures specific to myelin damage and amyloid plaques, respectively. Despite successful induction, amyloid disease-associated microglia (DAM) that usually clear amyloid plaques are apparently distracted to nearby myelin damage. Our data suggest a working model whereby age-dependent structural defects of myelin promote Aβ plaque formation directly and indirectly and are therefore an upstream AD risk factor. Improving oligodendrocyte health and myelin integrity could be a promising target to delay development and slow progression of AD.
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Affiliation(s)
- Constanze Depp
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
| | - Ting Sun
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Andrew Octavian Sasmita
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Lena Spieth
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Stefan A Berghoff
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Taisiia Nazarenko
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Katharina Overhoff
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Agnes A Steixner-Kumar
- Clinical Neuroscience, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Swati Subramanian
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Sahab Arinrad
- Clinical Neuroscience, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Torben Ruhwedel
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Wiebke Möbius
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Sandra Göbbels
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Gesine Saher
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Hauke B Werner
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Alkmini Damkou
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
| | - Silvia Zampar
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August University, Göttingen, Germany
| | - Oliver Wirths
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August University, Göttingen, Germany
| | - Maik Thalmann
- Department of German Philology, Georg-August University, Göttingen, Germany
| | - Mikael Simons
- Institute of Neuronal Cell Biology, Technical University Munich, Munich, Germany
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
| | - Takashi Saito
- Department of Neurocognitive Science, Institute of Brain Science, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Takaomi Saido
- Laboratory for Proteolytic Neuroscience, RIKEN Center for Brain Science, Wako, Saitama, Japan
| | - Dilja Krueger-Burg
- Department of Psychiatry and Psychotherapy, University Medical Center, Georg-August University, Göttingen, Germany
- Department of Molecular Neurobiology, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Riki Kawaguchi
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Michael Willem
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
- Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Christian Haass
- German Center for Neurodegenerative Diseases, Munich, Germany
- Munich Cluster of Systems Neurology (SyNergy), Munich, Germany
- Metabolic Biochemistry, Biomedical Center (BMC), Faculty of Medicine, Ludwig-Maximilians University of Munich, Munich, Germany
| | - Daniel Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Hannelore Ehrenreich
- Clinical Neuroscience, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Ruth Stassart
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
- Paul-Flechsig-Institute of Neuropathology, University Clinic Leipzig, Leipzig, Germany
| | - Klaus-Armin Nave
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany.
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12
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Maitre M, Jeltsch-David H, Okechukwu NG, Klein C, Patte-Mensah C, Mensah-Nyagan AG. Myelin in Alzheimer's disease: culprit or bystander? Acta Neuropathol Commun 2023; 11:56. [PMID: 37004127 PMCID: PMC10067200 DOI: 10.1186/s40478-023-01554-5] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 03/20/2023] [Indexed: 04/03/2023] Open
Abstract
Alzheimer's disease (AD) is a neurodegenerative disorder with neuronal and synaptic losses due to the accumulation of toxic amyloid β (Αβ) peptide oligomers, plaques, and tangles containing tau (tubulin-associated unit) protein. While familial AD is caused by specific mutations, the sporadic disease is more common and appears to result from a complex chronic brain neuroinflammation with mitochondriopathies, inducing free radicals' accumulation. In aged brain, mutations in DNA and several unfolded proteins participate in a chronic amyloidosis response with a toxic effect on myelin sheath and axons, leading to cognitive deficits and dementia. Αβ peptides are the most frequent form of toxic amyloid oligomers. Accumulations of misfolded proteins during several years alters different metabolic mechanisms, induce chronic inflammatory and immune responses with toxic consequences on neuronal cells. Myelin composition and architecture may appear to be an early target for the toxic activity of Aβ peptides and others hydrophobic misfolded proteins. In this work, we describe the possible role of early myelin alterations in the genesis of neuronal alterations and the onset of symptomatology. We propose that some pathophysiological and clinical forms of the disease may arise from structural and metabolic disorders in the processes of myelination/demyelination of brain regions where the accumulation of non-functional toxic proteins is important. In these forms, the primacy of the deleterious role of amyloid peptides would be a matter of questioning and the initiating role of neuropathology would be primarily the fact of dysmyelination.
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Affiliation(s)
- Michel Maitre
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, Fédération de Médecine Translationnelle de Strasbourg (FMTS), INSERM U1119, Université de Strasbourg, Bâtiment CRBS de la Faculté de Médecine, 1 rue Eugène Boeckel, Strasbourg, 67000, France.
| | - Hélène Jeltsch-David
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, Fédération de Médecine Translationnelle de Strasbourg (FMTS), INSERM U1119, Université de Strasbourg, Bâtiment CRBS de la Faculté de Médecine, 1 rue Eugène Boeckel, Strasbourg, 67000, France
- Biotechnologie et signalisation cellulaire, UMR 7242 CNRS, Université de Strasbourg, 300 Boulevard Sébastien Brant CS 10413, Illkirch cedex, 67412, France
| | - Nwife Getrude Okechukwu
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, Fédération de Médecine Translationnelle de Strasbourg (FMTS), INSERM U1119, Université de Strasbourg, Bâtiment CRBS de la Faculté de Médecine, 1 rue Eugène Boeckel, Strasbourg, 67000, France
| | - Christian Klein
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, Fédération de Médecine Translationnelle de Strasbourg (FMTS), INSERM U1119, Université de Strasbourg, Bâtiment CRBS de la Faculté de Médecine, 1 rue Eugène Boeckel, Strasbourg, 67000, France
| | - Christine Patte-Mensah
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, Fédération de Médecine Translationnelle de Strasbourg (FMTS), INSERM U1119, Université de Strasbourg, Bâtiment CRBS de la Faculté de Médecine, 1 rue Eugène Boeckel, Strasbourg, 67000, France
| | - Ayikoe-Guy Mensah-Nyagan
- Biopathologie de la Myéline, Neuroprotection et Stratégies Thérapeutiques, Fédération de Médecine Translationnelle de Strasbourg (FMTS), INSERM U1119, Université de Strasbourg, Bâtiment CRBS de la Faculté de Médecine, 1 rue Eugène Boeckel, Strasbourg, 67000, France
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13
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Onoue H, Kato Y, Ishido H, Ogawa T, Akaiwa Y, Miyamoto T. [A case of primary progressive multiple sclerosis with improvement in cognitive impairment by anti-CD20 monoclonal antibody therapy]. Rinsho Shinkeigaku 2023; 63:152-158. [PMID: 36843088 DOI: 10.5692/clinicalneurol.cn-001779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/28/2023]
Abstract
The patient was a 44-year-old man who developed cognitive impairment beginning at the age of 35 years that gradually worsened. The cognitive impairment led to a difficult social life, and he retired from his company. After hospitalization and workup, he was diagnosed with primary progressive multiple sclerosis (PPMS) that presented only with cognitive impairment for 10 years. Since he had multiple predictive factors for poor prognosis, anti-CD20 monoclonal antibody therapy was implemented. Cognitive impairment and cerebral blood flow SPECT findings improved, and he returned to a social life 3 months later. Anti-CD20 monoclonal antibody therapy was effective in improving cognitive impairment in a case of an advanced stage of PPMS.
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Affiliation(s)
- Hiroyuki Onoue
- Department of Neurology, Dokkyo Medical University Saitama Medical Center
| | - Yuta Kato
- Department of Neurology, Dokkyo Medical University Saitama Medical Center.,Department of Neurology, Showa University
| | - Hideaki Ishido
- Department of Neurology, Dokkyo Medical University Saitama Medical Center
| | - Tomohiro Ogawa
- Department of Neurology, Dokkyo Medical University Saitama Medical Center
| | - Yasuhisa Akaiwa
- Department of Neurology, Dokkyo Medical University Saitama Medical Center
| | - Tomoyuki Miyamoto
- Department of Neurology, Dokkyo Medical University Saitama Medical Center
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14
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Yeung CHC, Au Yeung SL, Schooling CM. Association of autoimmune diseases with Alzheimer's disease: A mendelian randomization study. J Psychiatr Res 2022; 155:550-558. [PMID: 36198219 DOI: 10.1016/j.jpsychires.2022.09.052] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 08/18/2022] [Accepted: 09/24/2022] [Indexed: 11/28/2022]
Abstract
BACKGROUND Alzheimer's disease may have an autoimmune component, but the association is unclear. OBJECTIVE The objective of this Mendelian randomization (MR) study was to evaluate the association of liability to autoimmune diseases with Alzheimer's disease. METHODS A systematic search was done using PubMed to identify autoimmune diseases that have been suggested as associated with Alzheimer's disease. Genetic predictors of these autoimmune diseases were obtained from the largest and most recent genome-wide association studies (GWAS). Genetic associations with clinically-diagnosed Alzheimer's disease were obtained from the International Genomics of Alzheimer's Project GWAS (21982 cases; 41944 controls); and with parental and sibling history of Alzheimer's disease from the UK Biobank GWAS (27696 maternal, 14338 paternal and 2171 sibling cases). MR estimates were obtained using inverse variance weighting, MR-Egger and weighted median. To address possible selection bias due to inevitably recruiting only survivors, the analysis was repeated in younger people, i.e., UK Biobank siblings and adjusting for competing risk of Alzheimer's disease. RESULTS Of the 7 autoimmune diseases considered, liability to psoriasis and sarcoidosis were not associated with Alzheimer's disease. Some evidence was found for liability to multiple sclerosis being associated with higher risk and liability to Sjogren's syndrome with lower risk of Alzheimer's disease. Associations found for liability to giant cell arteritis, type 1 diabetes and rheumatoid arthritis were inconsistent in sensitivity analyses. CONCLUSION Liability to multiple sclerosis and Sjogren's syndrome could be associated with Alzheimer's disease. The underlying mechanisms, such as the role of myelin and neuroinflammation, should be further investigated.
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Affiliation(s)
- Chris Ho Ching Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
| | - Shiu Lun Au Yeung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China
| | - C Mary Schooling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China; Graduate School of Public Health and Health Policy, City University of New York, New York, USA
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15
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A large-scale genome-wide cross-trait analysis reveals shared genetic architecture between Alzheimer's disease and gastrointestinal tract disorders. Commun Biol 2022; 5:691. [PMID: 35851147 PMCID: PMC9293965 DOI: 10.1038/s42003-022-03607-2] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 06/20/2022] [Indexed: 12/16/2022] Open
Abstract
Consistent with the concept of the gut-brain phenomenon, observational studies suggest a relationship between Alzheimer's disease (AD) and gastrointestinal tract (GIT) disorders; however, their underlying mechanisms remain unclear. Here, we analyse several genome-wide association studies (GWAS) summary statistics (N = 34,652-456,327), to assess the relationship of AD with GIT disorders. Findings reveal a positive significant genetic overlap and correlation between AD and gastroesophageal reflux disease (GERD), peptic ulcer disease (PUD), gastritis-duodenitis, irritable bowel syndrome and diverticulosis, but not inflammatory bowel disease. Cross-trait meta-analysis identifies several loci (Pmeta-analysis < 5 × 10-8) shared by AD and GIT disorders (GERD and PUD) including PDE4B, BRINP3, ATG16L1, SEMA3F, HLA-DRA, SCARA3, MTSS2, PHB, and TOMM40. Colocalization and gene-based analyses reinforce these loci. Pathway-based analyses demonstrate significant enrichment of lipid metabolism, autoimmunity, lipase inhibitors, PD-1 signalling, and statin mechanisms, among others, for AD and GIT traits. Our findings provide genetic insights into the gut-brain relationship, implicating shared but non-causal genetic susceptibility of GIT disorders with AD's risk. Genes and biological pathways identified are potential targets for further investigation in AD, GIT disorders, and their comorbidity.
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16
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Londoño DP, Arumaithurai K, Constantopoulos E, Basso MR, Reichard RR, Flanagan EP, Keegan BM. Diagnosis of coexistent neurodegenerative dementias in multiple sclerosis. Brain Commun 2022; 4:fcac167. [PMID: 35822102 PMCID: PMC9272064 DOI: 10.1093/braincomms/fcac167] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 02/21/2022] [Accepted: 06/20/2022] [Indexed: 11/12/2022] Open
Abstract
Abstract
Among people with multiple sclerosis, cognitive impairment occurs commonly and is a potent predictor of disability. Some multiple sclerosis patients present with severe cognitive impairment, and distinguishing multiple sclerosis-related cognitive impairment from co-existent progressive neurodegenerative diseases such as Alzheimer disease poses a diagnostic challenge. The use of biomarkers such as PET and CSF proteins may facilitate this distinction. The study was a retrospective, descriptive study on convenience samples of separate cohorts, one of cognitively impaired multiple sclerosis patients evaluated on autopsy to demonstrate coincidence of both multiple sclerosis and neurodegenerative cognitive diseases. The second cohort were cognitively impaired multiple sclerosis patients evaluated by biomarker to investigate possible additional neurodegenerative cognitive disorders contributing to the cognitive impairment. We investigated selected biomarkers among 31 severely impaired patients (biomarker cohort) and 12 severely impaired patients assessed at autopsy and selected 24 (23 biomarker cohort, 1 autopsy cohort) had comprehensive neurocognitive testing. Biomarker cohort investigations included 18F-Fluorodeoxyglucose PET and/or CSF amyloid Aβ1-42, phospho-tau and total tau levels. The autopsy cohort was evaluated with comprehensive neuropathological assessment for aetiology of cognitive impairment. The cohorts shared similar sex, age at multiple sclerosis onset and multiple sclerosis clinical course. The autopsy-cohort patients were older at diagnosis (69.5 versus 57 years, P = 0.006), had longer disease duration [median (range) 20 years (3–59) versus 9 (1–32), P = 0.001] and had more impaired bedside mental status scores at last follow-up [Kokmen median (range) 23 (1–38) versus 31 (9–34) P = 0.01]. Autopsy-cohort patients confirmed, or excluded, coexistent neurogenerative disease by neuropathology gold standard. Most biomarker-cohort patients had informative results evaluating coexistent neurogenerative disease. Biomarkers may be useful in indicating a coexistent neurodegenerative disease earlier, and in life, in patients with multiple sclerosis and significant cognitive impairment.
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Affiliation(s)
- Diana P Londoño
- Department of Neurology, Mayo Clinic , Rochester, MN 55905 , USA
- Department of Neurology, OSF St. Paul Medical Center , Peoria, IL 61603 , USA
| | | | - Eleni Constantopoulos
- Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN 55905 , USA
| | - Michael R Basso
- Division of Neurocognitive Disorders, Department of Psychiatry and Psychology, Mayo Clinic , Rochester, MN 55905 , USA
| | - R Ross Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic , Rochester, MN 55905 , USA
| | - Eoin P Flanagan
- Department of Neurology, Mayo Clinic , Rochester, MN 55905 , USA
| | - B Mark Keegan
- Department of Neurology, Mayo Clinic , Rochester, MN 55905 , USA
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Cognitive Decline in Older People with Multiple Sclerosis—A Narrative Review of the Literature. Geriatrics (Basel) 2022; 7:geriatrics7030061. [PMID: 35735766 PMCID: PMC9223056 DOI: 10.3390/geriatrics7030061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/02/2022] [Accepted: 06/02/2022] [Indexed: 12/04/2022] Open
Abstract
Several important questions regarding cognitive aging and dementia in older people with multiple sclerosis (PwMS) are the focus of this narrative review: Do older PwMS have worse cognitive decline compared to older people without MS? Can older PwMS develop dementia or other neurodegenerative diseases such as Alzheimer’s disease (AD) that may be accelerated due to MS? Are there any potential biomarkers that can help to determine the etiology of cognitive decline in older PwMS? What are the neural and cellular bases of cognitive aging and neurodegeneration in MS? Current evidence suggests that cognitive impairment in MS is distinguishable from that due to other neurodegenerative diseases, although older PwMS may present with accelerated cognitive decline. While dementia is prevalent in PwMS, there is currently no consensus on defining it. Cerebrospinal fluid and imaging biomarkers have the potential to identify disease processes linked to MS and other comorbidities—such as AD and vascular disease—in older PwMS, although more research is required. In conclusion, one should be aware that multiple underlying pathologies can coexist in older PwMS and cause cognitive decline. Future basic and clinical research will need to consider these complex factors to better understand the underlying pathophysiology, and to improve diagnostic accuracy.
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Shi C, Cha J, Gong J, Wang S, Zeng P, Lian J, Zhang B, Hua Q, Lv J, Du C, Xie X, Zhang R. Amelioration of Experimental Autoimmune Encephalomyelitis in Alzheimer’s Disease Mouse Models: A Potential Role for Aβ. Cells 2022; 11:cells11061004. [PMID: 35326455 PMCID: PMC8946952 DOI: 10.3390/cells11061004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 03/05/2022] [Accepted: 03/14/2022] [Indexed: 11/16/2022] Open
Abstract
Emerging data have highlighted the coexistence of multiple sclerosis (MS) and Alzheimer’s disease (AD), both of which are common central nervous system degenerative diseases with a heavy burden on patients, their families, and society. However, it is unclear how MS progresses under an AD pathological background. We aimed to address the question of how MS progresses under an AD pathological background. We induced the experimental autoimmune encephalomyelitis (EAE) model of MS in two types of AD mouse models, Tg6799 and APP/PS1 mice. We found that, compared with wild-type mice, the clinical symptoms of EAE were significantly ameliorated in APP/PS1 mice but not in Tg6799 mice. Moreover, a much lower level of serum Aβ was observed in Tg6799 mice. EAE clinical symptoms in Tg6799 and C57BL/6J mice were ameliorated by intraperitoneal injection of Aβ42. Peripheral administration of Aβ42 peptides was able to inhibit Th17 development in vivo, which is likely to occur through the inhibition of IL-6 production in dendritic cells. Our findings revealed that AD and EAE could coexist in the same mouse, and Aβ residing in peripheral circulation likely plays an anti-inflammatory role in preventing EAE progression. These findings reveal the potential benefit of Aβ, one of the supervillains of AD, at least in certain contexts.
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Affiliation(s)
- Changjie Shi
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Jiaxue Cha
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Junyuan Gong
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Shaodeng Wang
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Peng Zeng
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Junjiang Lian
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Bowen Zhang
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Qiuhong Hua
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Jie Lv
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Changsheng Du
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
| | - Xin Xie
- CAS Key Laboratory of Receptor Research, The National Center for Drug Screening, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China;
| | - Ru Zhang
- Shanghai Key Laboratory of Signaling and Disease Research, Laboratory of Receptor-Based Bio-Medicine, Collaborative Innovation Center for Brain Science, School of Life Sciences and Technology, Tongji University, Shanghai 200092, China; (C.S.); (J.C.); (J.G.); (S.W.); (P.Z.); (J.L.); (B.Z.); (Q.H.); (J.L.); (C.D.)
- Correspondence: ; Tel.: +86-216-598-6852
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Mahmoudi E, Sadaghiyani S, Lin P, Kamdar N, Norcott A, Peterson MD, Meade MA. Diagnosis of Alzheimer's disease and related dementia among people with multiple sclerosis: Large cohort study, USA. Mult Scler Relat Disord 2022; 57:103351. [PMID: 35158460 DOI: 10.1016/j.msard.2021.103351] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 09/23/2021] [Accepted: 10/24/2021] [Indexed: 12/26/2022]
Abstract
BACKGROUND Alzheimer's disease and related dementia (ADRD) and multiple sclerosis (MS) are two neurodegenerative diseases with some shared pathophysiological characteristics. While the salient attribute of ADRD is a progressive decline in cognitive function, MS is mainly known for causing physical weakness, vision loss, and muscle stiffness. Progressive cognitive decline, however, is not uncommon among MS patients, and many case reports of MS were indicative of ADRD coexistence. Due to a lack of large epidemiological studies on this topic, we aimed to examine time to diagnosis of and adjusted hazard for ADRD using administrative claims data, comparing adults with and without MS. METHODS Using 2007-2017 private claims data from Optum Clinformatics Data Mart in the U.S., we identified adults (45+) with a MS diagnosis (n = 6151) as well as adults without MS for comparison (n = 916,143). We propensity score matched people with MS with those without (n = 6025) using age, sex, race/ethnicity, chronic conditions including cardiometabolic, psychologic, and musculoskeletal, U.S. Census Division, and socioeconomic variables. In addition to incidence estimates of ADRD diagnosis compared at 4-years, survival models were utilized to quantify unadjusted, fully adjusted, and adjusted propensity-matched hazard ratios. RESULTS Unmatched data revealed that incidence of early-onset ADRD diagnosis was 7 times higher among adults 45-64 years old with MS (1.4%) compared to those without (0.2%); among older adults (65+) with MS, incident ADRD was 4.0% compared to 3.3% among those without MS. Adjusted survival models indicated that adults with MS had a substantially high risk for early-onset ADRD diagnosis (among 45-64 years old: unmatched hazard ratio (HR): 4.25 (95% CI: 3.40 -5.32), matched HR: 4.49 (95% CI:2.62-7.69); among 65+ years old: unmatched HR: 1.39 (95% CI: 1.22, 1.58), matched HR: 1.26 (1.04, 1.54)). CONCLUSIONS Individuals with MS had a greater incidence of and risk for early- and late-onset ADRD diagnosis compared to those without MS. It is not clear whether this greater risk is due to an accelerated dementia risk or at least partially due to clinical misdiagnosis. Advancements in the development of clinical and imaging biomarkers should be more commonly used in clinical settings to facilitate future research on this topic.
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Affiliation(s)
- Elham Mahmoudi
- Department of Family Medicine, Michigan Medicine, University of Michigan, USA; Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA.
| | - Shima Sadaghiyani
- Department of Psychiatry-Neuropsychology, Michigan Medicine, University of Michigan, USA
| | - Paul Lin
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Neil Kamdar
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Obstetrics and Gynecology, Michigan Medicine, University of Michigan, USA; Department of Emergency Medicine, Michigan Medicine, University of Michigan, USA; Department of Surgery, Michigan Medicine, University of Michigan, USA
| | - Alexandra Norcott
- Department of Internal Medicine, Division of Geriatric and Palliative Medicine, Michigan Medicine, University of Michigan, USA; Department of Internal Medicine, GRECC, Ann Arbor Veterans Affairs Healthcare System, USA
| | - Mark D Peterson
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
| | - Michelle A Meade
- Institute for Healthcare Policy and Innovation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA; Department of Physical Medicine and Rehabilitation, Michigan Medicine, University of Michigan, Ann Arbor, MI, USA
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20
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Hsu CL, Iwanowski P, Hsu CH, Kozubski W. Genetic diseases mimicking multiple sclerosis. Postgrad Med 2021; 133:728-749. [PMID: 34152933 DOI: 10.1080/00325481.2021.1945898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Abstract
Multiple sclerosis (MS) is an inflammatory neurodegenerative disorder manifesting as gradual or progressive loss of neurological functions. Most patients present with relapsing-remitting disease courses. Extensive research over recent decades has expounded our insights into the presentations and diagnostic features of MS. Groups of genetic diseases, CADASIL and leukodystrophies, for example, have been frequently misdiagnosed with MS due to some overlapping clinical and radiological features. The delayed identification of these diseases in late adulthood can lead to severe neurological complications. Herein we discuss genetic diseases that have the potential to mimic multiple sclerosis, with highlights on clinical identification and practicing pearls that may aid physicians in recognizing MS-mimics with genetic background in clinical settings.
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Affiliation(s)
- Chueh Lin Hsu
- Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - Piotr Iwanowski
- Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
| | - Chueh Hsuan Hsu
- Department of Neurology, China Medical University, Taichung, Taiwan
| | - Wojciech Kozubski
- Department of Neurology, Poznan University of Medical Sciences, Poznan, Poland
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21
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Differential Diagnosis of Cognitive Decline in Elderly Individuals With Multiple Sclerosis. Cogn Behav Neurol 2021; 33:294-300. [PMID: 33264159 DOI: 10.1097/wnn.0000000000000252] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
Due to increasingly improved disability outcomes, and the resultant significantly improved life span, of the multiple sclerosis (MS) population, questions regarding cognitive aging and the prevalence of comorbid Alzheimer disease (AD) have emerged. We describe neuropsychological and MRI-based changes that occurred in an 84-year-old MS patient with comorbid amnestic mild cognitive impairment (a precursor to AD) and cerebrovascular pathology. The neuropsychological examination demonstrated impairment in cognitive processing speed as well as in verbal and visual memory-domains that are potentially affected by any, or all, of the three co-existing diseases. Amyloid-based PET imaging showed increased focal uptake within the gray matter of the occipital lobe. We highlight how these clinical and radiologic observations can inform future research that could elucidate interactions between MS, a probable AD diagnosis, and cerebrovascular pathology in elderly individuals with MS. A comprehensive neuropsychological examination of multiple cognitive domains of individuals with MS may aid in the differential diagnosis of late-in-life cognitive decline.
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22
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Ostolaza A, Corroza J, Ayuso T. Multiple sclerosis and aging: comorbidity and treatment challenges. Mult Scler Relat Disord 2021; 50:102815. [PMID: 33581613 DOI: 10.1016/j.msard.2021.102815] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Revised: 01/27/2021] [Accepted: 02/01/2021] [Indexed: 11/26/2022]
Abstract
BACKGROUND The prevalence of elderly patients with MS is increasing, in conjunction with the ageing general population. This review will examine the principal characteristics of elderly patients with MS and how the concomitant pathologies affect them. Finally, it will assess the impact of the medications on these patients and whether it would be safe to discontinue the disease-modifying treatment. METHODS Searches using PubMed were conducted in October 2020 to collect studies assessing the impact of age and comorbidities on patients with MS. RESULTS Several studies showed that aged patients develop concomitant pathologies that could worsen the disease's prognosis. Also, MS itself may be closely related to cognitive impairment, even though the exact etiopathogenic mechanism of it is still unclear. To date, safety and efficacy of currently available drugs remain unassessed in elderly populations. These treatments may not be beneficial in preventing the progression of disability in ageing people with no signs of inflammatory activity, and discontinuation of treatment is often discussed in this subgroup of patients. CONCLUSIONS The presence of cardiovascular pathology, psychiatric disorders, diabetes or cancer is further associated with increased mortality in MS patients. The diagnosis and treatment of the disease is challenged by both age-related comorbidities and clinical variations compared to younger patients. It may be safe to discontinue treatment in elderly patients with no clinico-radiological activity.
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Affiliation(s)
- Aiora Ostolaza
- Department of Neurology, Complejo Hospitalario de Navarra-IdiSNA (Navarra Institute for Health Research), Pamplona, Navarra, 31008, Spain.
| | - Jon Corroza
- Department of Neurology, Complejo Hospitalario de Navarra-IdiSNA (Navarra Institute for Health Research), Pamplona, Navarra, 31008, Spain
| | - Teresa Ayuso
- Department of Neurology, Complejo Hospitalario de Navarra-IdiSNA (Navarra Institute for Health Research), Pamplona, Navarra, 31008, Spain
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23
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Gureev AP, Sadovnikova IS, Starkova NN, Starkov AA, Popov VN. p62-Nrf2-p62 Mitophagy Regulatory Loop as a Target for Preventive Therapy of Neurodegenerative Diseases. Brain Sci 2020; 10:brainsci10110847. [PMID: 33198234 PMCID: PMC7696015 DOI: 10.3390/brainsci10110847] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 11/08/2020] [Accepted: 11/09/2020] [Indexed: 12/16/2022] Open
Abstract
Turnover of the mitochondrial pool due to coordinated processes of mitochondrial biogenesis and mitophagy is an important process in maintaining mitochondrial stability. An important role in this process is played by the Nrf2/ARE signaling pathway, which is involved in the regulation of the expression of genes responsible for oxidative stress protection, regulation of mitochondrial biogenesis, and mitophagy. The p62 protein is a multifunctional cytoplasmic protein that functions as a selective mitophagy receptor for the degradation of ubiquitinated substrates. There is evidence that p62 can positively regulate Nrf2 by binding to its negative regulator, Keap1. However, there is also strong evidence that Nrf2 up-regulates p62 expression. Thereby, a regulatory loop is formed between two important signaling pathways, which may be an important target for drugs aimed at treating neurodegeneration. Constitutive activation of p62 in parallel with Nrf2 would most likely result in the activation of mTORC1-mediated signaling pathways that are associated with the development of malignant neoplasms. The purpose of this review is to describe the p62-Nrf2-p62 regulatory loop and to evaluate its role in the regulation of mitophagy under various physiological conditions.
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Affiliation(s)
- Artem P. Gureev
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia; (I.S.S.); (V.N.P.)
- Correspondence:
| | - Irina S. Sadovnikova
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia; (I.S.S.); (V.N.P.)
| | | | - Anatoly A. Starkov
- Neuroscience Department, Feil Family Brain and Mind Research Institute, Weill Cornell Medicine, New York, NY 10065, USA;
| | - Vasily N. Popov
- Department of Genetics, Cytology and Bioengineering, Voronezh State University, 394018 Voronezh, Russia; (I.S.S.); (V.N.P.)
- Voronezh State University of Engineering Technologies, 394018 Voronezh, Russia
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24
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Kolanko M, Win Z, Patel N, Malik O, Carswell C, Gontsarova A, Nicholas R, Perry R, Malhotra P. Using amyloid PET imaging to diagnose Alzheimer's disease in patients with multiple sclerosis. J Neurol 2020; 267:3268-3273. [PMID: 32556533 PMCID: PMC7578168 DOI: 10.1007/s00415-020-09969-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Revised: 04/23/2020] [Accepted: 06/01/2020] [Indexed: 12/02/2022]
Abstract
BACKGROUND Cognitive dysfunction affects 40-60% of individuals with multiple sclerosis (MS). The neuropsychological profile commonly consists of a subcortical pattern of deficits, although a proportion of patients have a severe progressive cortical dementia. However, patients with MS can be affected by other neurodegenerative diseases, such as Alzheimer's disease (AD). Little is known about the co-existence of these two conditions but distinguishing dementia due to MS alone from a coexisting neurodegenerative disease is challenging. Amyloid PET imaging has allowed improved AD diagnosis, especially in patients with atypical presentations or multiple possible causes of cognitive impairment. Amyloid PET demonstrates increased cortical signal in AD, whereas reductions in subcortical uptake are associated with demyelination. To the authors knowledge, there are no reports of clinical Amyloid PET use in MS patients with dementia. METHODS Here, three MS patients presenting to the Cognitive Neurology Clinic with progressive cognitive impairment are described. Due to lack of diagnostic clarity from standard investigations, they underwent Amyloid PET Imaging with 18F-florbetapir according to established appropriate use criteria and after review by a multidisciplinary team. RESULTS Two patients were diagnosed with AD based on positive Amyloid PET imaging and were subsequently started on cholinesterase inhibitor treatment. The other patient had a negative scan, leading to further investigations and identification of another potential cause of worsening cognitive impairment. CONCLUSIONS The experience from this case series suggests that Amyloid PET Imaging may be of diagnostic value in selected patients with MS and dementia. In these individuals, it may provide diagnostic clarity and assist with therapeutic decisions.
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Affiliation(s)
- Magdalena Kolanko
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Zarni Win
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Neva Patel
- Department of Nuclear Medicine, Imperial College Healthcare NHS Trust, London, UK
| | - Omar Malik
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | | | | | - Richard Nicholas
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Richard Perry
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK
| | - Paresh Malhotra
- Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, W6 8RP, UK.
- Department of Neurology, Imperial College Healthcare NHS Trust, London, UK.
- UK Dementia Research Institute, Imperial College London, London, UK.
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Borrelli S, Genoud-Prachex T, Meyer M, Démonet JF, Rouaud O. Unsuspected Alzheimer disease in a patient with Multiple sclerosis and progressive aphasia. Mult Scler Relat Disord 2020; 45:102349. [DOI: 10.1016/j.msard.2020.102349] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2020] [Revised: 06/09/2020] [Accepted: 06/30/2020] [Indexed: 10/23/2022]
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Magyari M, Sorensen PS. Comorbidity in Multiple Sclerosis. Front Neurol 2020; 11:851. [PMID: 32973654 PMCID: PMC7473304 DOI: 10.3389/fneur.2020.00851] [Citation(s) in RCA: 88] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Accepted: 07/07/2020] [Indexed: 01/09/2023] Open
Abstract
Comorbidities in patients with multiple sclerosis (MS) has become an area of increasing interest in the recent years. A comorbidity is defined as any additional disease that coexists in an individual with a given index disease and that is not an obvious complication of the index disease. The aim of this review is to describe the current evidence regarding the range of comorbidities in the population with MS reported in different countries and the current knowledge about the influence of comorbidities on the clinical features and therapeutic challenges in MS. Certain comorbidities are more prevalent in people with MS such as depression, anxiety, cerebro- and cardiovascular diseases, and certain autoimmune disorders such as diabetes, thyroid disease, and inflammatory bowel disease. A previous perception of a trend toward a lower overall risk of cancer in patients with MS appears to be challenged, but there is no evidence on any higher occurrence of malignancies in the population with MS. Comorbidities may modify the clinical presentation of MS, and have implications for treatment choice, adherence, and outcome. Several comorbid conditions are associated with increased disability progression, including diabetes, hypertension, and chronic obstructive pulmonary disease. Comorbidities are common in MS from the time of diagnosis and may account for some of the heterogeneity observed in MS, including diagnostic delay, clinical presentation, degree of disability progression, rate of health care utilization, working ability, employment status, and quality of life. Coexisting diseases and polypharmacy increase the complexity of patient management and poses major challenges, particularly with the increasing number of immunosuppressive disease-modifying therapies.
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Affiliation(s)
- Melinda Magyari
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Denmark.,Department of Neurology, The Danish Multiple Sclerosis Registry, Copenhagen University Hospital, Rigshospitalet, Denmark
| | - Per Soelberg Sorensen
- Department of Neurology, Danish Multiple Sclerosis Center, Copenhagen University Hospital, Rigshospitalet, Denmark
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Kharati M, Foroutanparsa S, Rabiee M, Salarian R, Rabiee N, Rabiee G. Early Diagnosis of Multiple Sclerosis Based on Optical and Electrochemical Biosensors: Comprehensive Perspective. CURR ANAL CHEM 2020. [DOI: 10.2174/1573411014666180829111004] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Background:
Multiple Sclerosis (MS) involves an immune-mediated response in which
body’s immune system destructs the protective sheath (myelin). Part of the known MS biomarkers are
discovered in cerebrospinal fluid like oligoclonal lgG (OCGB), and also in blood like myelin Oligodendrocyte
Glycoprotein (MOG). The conventional MS diagnostic methods often fail to detect the
disease in early stages such as Clinically Isolated Syndrome (CIS), which considered as a concerning
issue since CIS highlighted as a prognostic factor of MS development in most cases.
Methods:
MS diagnostic techniques include Magnetic Resonance Imaging (MRI) of the brain and spinal
cord, lumbar puncture (or spinal tap) that evaluate cerebrospinal fluid, evoked potential testing revealing
abnormalities in the brain and spinal cord. These conventional diagnostic methods have some
negative points such as extensive processing time as well as restriction in the quantity of samples that
can be analyzed concurrently. Scientists have focused on developing the detection methods especially
early detection which belongs to ultra-sensitive, non-invasive and needed for the Point of Care (POC)
diagnosis because the situation was complicated by false positive or negative results.
Results:
As a result, biosensors are utilized and investigated since they could be ultra-sensitive to specific
compounds, cost effective devices, body-friendly and easy to implement. In addition, it has been
proved that the biosensors on physiological fluids (blood, serum, urine, saliva, milk etc.) have quick
response in a non-invasive rout. In general form, a biosensor system for diagnosis and early detection
process usually involves; biomarker (target molecule), bio receptor (recognition element) and compatible
bio transducer.
Conclusion:
Studies underlined that early treatment of patients with high possibility of MS can be advantageous
by postponing further abnormalities on MRI and subsequent attacks.
:
This Review highlights variable disease diagnosis approaches such as Surface Plasmon Resonance
(SPR), electrochemical biosensors, Microarrays and microbeads based Microarrays, which are considered
as promising methods for detection and early detection of MS.
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Affiliation(s)
- Maryam Kharati
- Biomaterials Group, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Sanam Foroutanparsa
- Biomaterials Group, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Mohammad Rabiee
- Biomaterials Group, Faculty of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran
| | - Reza Salarian
- Biomedical Engineering Department, Maziar University, Noor, Royan, Iran
| | - Navid Rabiee
- Department of Chemistry, Shahid Beheshti University, Tehran, Iran
| | - Ghazal Rabiee
- Department of Chemistry, Shahid Beheshti University, Tehran, Iran
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Nasios G, Bakirtzis C, Messinis L. Cognitive Impairment and Brain Reorganization in MS: Underlying Mechanisms and the Role of Neurorehabilitation. Front Neurol 2020; 11:147. [PMID: 32210905 PMCID: PMC7068711 DOI: 10.3389/fneur.2020.00147] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2020] [Accepted: 02/14/2020] [Indexed: 12/29/2022] Open
Abstract
Multiple sclerosis (MS) is a chronic, immune-mediated, inflammatory, and degenerative disease of the central nervous system (CNS) that affects both white and gray matter. Various mechanisms throughout its course, mainly regarding gray matter lesions and brain atrophy, result in cognitive network dysfunction and can cause clinically significant cognitive impairment in roughly half the persons living with MS. Altered cognition is responsible for many negative aspects of patients' lives, independently of physical disability, such as higher unemployment and divorce rates, reduced social activities, and an overall decrease in quality of life. Despite its devastating impact it is not included in clinical ratings and decision making in the way it should be. It is interesting that only half the persons with MS exhibit cognitive dysfunction, as this implies that the other half remain cognitively intact. It appears that a dynamic balance between brain destruction and brain reorganization is taking place. This balance acts in favor of keeping brain systems functioning effectively, but this is not so in all cases, and the effect does not last forever. When these systems collapse, functional brain reorganization is not effective anymore, and clinically apparent impairments are evident. It is therefore important to reveal which factors could make provision for the subpopulation of patients in whom cognitive impairment occurs. Even if we manage to detect this subpopulation earlier, effective pharmaceutical treatments will still be lacking. Nevertheless, recent evidence shows that cognitive rehabilitation and neuromodulation, using non-invasive techniques such as transcranial magnetic or direct current stimulation, could be effective in cognitively impaired patients with MS. In this Mini Review, we discuss the mechanisms underlying cognitive impairment in MS. We also focus on mechanisms of reorganization of cognitive networks, which occur throughout the disease course. Finally, we review theoretical and practical issues of neurorehabilitation and neuromodulation for cognition in MS as well as factors that influence them and prevent them from being widely applied in clinical settings.
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Affiliation(s)
- Grigorios Nasios
- Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, Ioannina, Greece
| | - Christos Bakirtzis
- Department of Neurology, The Multiple Sclerosis Center, AHEPA University Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Lambros Messinis
- Neuropsychology Section, Departments of Neurology and Psychiatry, University of Patras Medical School, Patras, Greece
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Zeydan B, Lowe VJ, Reichard RR, Przybelski SA, Lesnick TG, Schwarz CG, Senjem ML, Gunter JL, Parisi JE, Machulda MM, Vemuri P, Mielke MM, Knopman DS, Petersen RC, Jack CR, Kantarci OH, Kantarci K. Imaging Biomarkers of Alzheimer Disease in Multiple Sclerosis. Ann Neurol 2020; 87:556-567. [PMID: 31970802 PMCID: PMC7078013 DOI: 10.1002/ana.25684] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 01/07/2020] [Accepted: 01/19/2020] [Indexed: 12/13/2022]
Abstract
Objective To investigate β‐amyloid and tau depositions using Pittsburgh compound B (PiB) positron emission tomography (PET) and AV1451 tau PET imaging in aging multiple sclerosis (MS) patients. Methods Patients with MS (n = 16) and controls (n = 80) matched for age, sex, and APOE ε4 status from the population‐based Mayo Clinic Study of Aging who underwent PiB PET imaging were studied. Of these individuals, 12 patients with MS and 60 matching controls also underwent AV1451 tau PET. Cortical PiB and AV1451 standard uptake value ratios (SUVrs) from the entire cortex and previously determined Alzheimer disease (AD) signature regions in the same population were calculated for group comparisons and testing for associations with age. Results AD signature PiB SUVr (odds ratio [OR] [95% confidence interval (CI)] = 0.52 [0.27–0.98], p = 0.044), total cortical PiB SUVr (OR [95% CI] = 0.52 [0.28–0.99], p = 0.048), and the frequency of abnormal PiB SUVrs (OR [95% CI] = 0.10 [0.01–0.90], p = 0.040) were lower in MS than controls. Although AD‐signature and total cortical AV1451 SUVrs were not different between the groups, the frequency of abnormal AV1451 SUVrs was higher (OR [95% CI] = 10.65 [1.10–103.35], p = 0.041) in MS than controls. The association of AD signature PiB SUVr with age was steeper in the controls compared to patients with MS (estimate [95% CI] = −0.14 [−0.023 to −0.006], p = 0.002). Similarly, the association of total cortical PiB SUVr with age was steeper in the controls compared to patients with MS (estimate [95% CI] = −0.13 [−0.021 to −0.005], p = 0.002). There was no difference in the association of AV1451 SUVr findings with age between the MS patients and controls. Interpretation Although both β‐amyloid and tau are biomarkers of cognitive aging and AD, cortical β‐amyloid deposition was lower in MS than age‐matched controls, suggesting that some aspect of MS pathobiology retards the accumulation of β‐amyloid but not the accumulation of tau. ANN NEUROL 2020;87:556–567
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Affiliation(s)
- Burcu Zeydan
- Department of Radiology, Mayo Clinic, Rochester, MN.,Department of Neurology, Mayo Clinic, Rochester, MN.,Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN
| | - Val J Lowe
- Department of Radiology, Mayo Clinic, Rochester, MN
| | - Ross R Reichard
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | | | | | | | - Matthew L Senjem
- Department of Radiology, Mayo Clinic, Rochester, MN.,Department of Information Technology, Mayo Clinic, Rochester, MN
| | - Jeffrey L Gunter
- Department of Radiology, Mayo Clinic, Rochester, MN.,Department of Information Technology, Mayo Clinic, Rochester, MN
| | - Joseph E Parisi
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN
| | - Mary M Machulda
- Department of Psychiatry and Psychology, Mayo Clinic, Rochester, MN
| | | | - Michelle M Mielke
- Department of Neurology, Mayo Clinic, Rochester, MN.,Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | | | | | | | - Orhun H Kantarci
- Department of Neurology, Mayo Clinic, Rochester, MN.,Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN
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30
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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.
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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
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Jakimovski D, Weinstock-Guttman B, Roy S, Jaworski M, Hancock L, Nizinski A, Srinivasan P, Fuchs TA, Szigeti K, Zivadinov R, Benedict RHB. Cognitive Profiles of Aging in Multiple Sclerosis. Front Aging Neurosci 2019; 11:105. [PMID: 31133845 PMCID: PMC6524468 DOI: 10.3389/fnagi.2019.00105] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 04/18/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Increasingly favorable mortality prognosis in multiple sclerosis (MS) raises questions regarding MS-specific cognitive aging and the presence of comorbidities such as Alzheimer's disease (AD). OBJECTIVE To assess elderly with MS (EwMS) and age-matched healthy controls (HCs) using both MS- and AD-specific psychometrics. METHODS EwMS (n = 104) and 56 HCs were assessed on a broad spectrum of language, visual-spatial processing, memory, processing speed, and executive function tests. Using logistic regression analysis, we examined cognitive performance differences between the EwMS and HC groups. Cognitive impairment (CI) was defined using a -1.5 SD threshold relative to age and education years-matched HCs, in two cognitive domains. RESULTS CI was observed in 47.1% of EwMS with differences most often seen on tests emphasizing cognitive processing speed as measured by Symbol Digit Modalities Test (SDMT) (d = 0.9, p < 0.001) and verbal fluency (both category-based d = 0.87, p < 0.001; letter-based d = 0.67, p < 0.001). After adjusting for age, sex and years of education, MS/HC diagnosis was best predicted (R 2 = 0.27) by differences in category-based verbal fluency (Wald = 9.935, p = 0.002) and SDMT (Wald = 13.937, p < 0.001). CONCLUSION This study confirms the common hallmark of slowed cognitive processing speed in MS among elderly patients. Defective verbal fluency, less often observed in younger cohorts, may represent emerging cognitive pathology due to other etiologies.
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Affiliation(s)
- Dejan Jakimovski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Bianca Weinstock-Guttman
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Shumita Roy
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Michael Jaworski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Laura Hancock
- Department of Neurology, University of Wisconsin School of Medicine and Public Health, Madison, WI, United States
| | - Alissa Nizinski
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Pavitra Srinivasan
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Tom A. Fuchs
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Kinga Szigeti
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Robert Zivadinov
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
- Clinical Translational Science Institute, Center for Biomedical Imaging, University at Buffalo – The State University of New York, Buffalo, NY, United States
| | - Ralph H. B. Benedict
- Department of Neurology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo – The State University of New York, Buffalo, NY, United States
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