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van Amerongen S, Das S, Kamps S, Goossens J, Bongers B, Pijnenburg YAL, Vanmechelen E, Vijverberg EGB, Teunissen CE, Verberk IMW. Cerebrospinal fluid biomarkers and cognitive trajectories in patients with Alzheimer's disease and a history of traumatic brain injury. Neurobiol Aging 2024; 141:121-128. [PMID: 38908030 DOI: 10.1016/j.neurobiolaging.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 06/07/2024] [Accepted: 06/13/2024] [Indexed: 06/24/2024]
Abstract
Traumatic brain injury (TBI) and Alzheimer's disease (AD) have overlapping mechanisms but it remains unknown if pathophysiological characteristics and cognitive trajectories in AD patients are influenced by TBI history. Here, we studied AD patients (stage MCI or dementia) with TBI history (ADTBI+, n=110), or without (ADTBI-, n=110) and compared baseline CSF concentrations of amyloid beta 1-42 (Aβ42), phosphorylated tau181 (pTau181), total tau, neurofilament light chain (NfL), synaptosomal associated protein-25kDa (SNAP25), neurogranin (Ng), neuronal pentraxin-2 (NPTX2) and glutamate receptor-4 (GluR4), as well as differences in cognitive trajectories using linear mixed models. Explorative, analyses were repeated within stratified TBI groups by TBI characteristics (timing, severity, number). We found no differences in baseline CSF biomarker concentrations nor in cognitive trajectories between ADTBI+ and ADTBI- patients. TBI >5 years ago was associated with higher NPTX2 and a tendency for higher SNAP25 concentrations compared to TBI ≤ 5 years ago, suggesting that TBI may be associated with long-term synaptic dysfunction only when occurring before onset or in a pre-clinical disease stage of AD.
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Affiliation(s)
- Suzan van Amerongen
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam 1081 HV, the Netherlands; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam 1081 HV, the Netherlands.
| | - Shreyasee Das
- Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1117, Amsterdam 1081 HV, the Netherlands; ADx NeuroSciences, Technologiepark-Zwijnaarde 6, Gent 9052, Belgium
| | - Suzie Kamps
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam 1081 HV, the Netherlands; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam 1081 HV, the Netherlands
| | - Julie Goossens
- ADx NeuroSciences, Technologiepark-Zwijnaarde 6, Gent 9052, Belgium
| | - Bram Bongers
- Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1117, Amsterdam 1081 HV, the Netherlands
| | - Yolande A L Pijnenburg
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam 1081 HV, the Netherlands; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam 1081 HV, the Netherlands
| | | | - Everard G B Vijverberg
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam 1081 HV, the Netherlands; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam 1081 HV, the Netherlands
| | - Charlotte E Teunissen
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam 1081 HV, the Netherlands; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam 1081 HV, the Netherlands; Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1117, Amsterdam 1081 HV, the Netherlands
| | - Inge M W Verberk
- Amsterdam Neuroscience, Neurodegeneration, De Boelelaan 1085, Amsterdam 1081 HV, the Netherlands; Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, De Boelelaan 1118, Amsterdam 1081 HV, the Netherlands; Neurochemistry Laboratory, Department of Laboratory Medicine, Vrije Universiteit Amsterdam, Amsterdam UMC location VUmc, Boelelaan 1117, Amsterdam 1081 HV, the Netherlands
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Passali M, Galea I, Knudsen MH, Lau LC, Cramer SP, Frederiksen JL. Cerebrospinal fluid neurofilament light chain in acute optic neuritis and its predictive ability of multiple sclerosis. J Neurol 2024:10.1007/s00415-024-12587-8. [PMID: 39052040 DOI: 10.1007/s00415-024-12587-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 07/15/2024] [Accepted: 07/16/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND Studies on the capability of cerebrospinal fluid neurofilament light chain (cNfL) to predict multiple sclerosis (MS) conversion in clinically isolated syndromes have yielded varying results. OBJECTIVES To expand our understanding of cNfL in optic neuritis (ON) and investigate whether incorporating cNfL into the 2017 McDonald criteria could accelerate the diagnosis of MS in patients with ON. METHODS cNfL was measured in diagnostic samples from 74 patients with verified ON. MS was diagnosed using the 2017 McDonald criteria with a minimum observation time of two years from ON onset. RESULTS 20.5% of 44 MS-converters did not fulfil the 2017 McDonald criteria at ON onset. A doubling of cNfL was associated with 207% (74%-514%) higher odds of MS (p = 0.00042, adjusted for age). Fulfilment of ≥ 1 MRI criterion for dissemination in space (DIS) and presence of brain contrast-enhancing lesions were associated with higher cNfL. Furthermore, cNfL correlated with inter-eye differences in retinal nerve fiber layer (RNFL) thickness (Spearman's ρ = 0.46, p = 8 × 10-5). Incorporating cNfL ≥ 906 pg/mL as a substitute for either dissemination in time or one MRI criterion for DIS increased the sensitivity (90.9% vs. 79.6%) and accuracy (91.9% vs. 87.8%), but also reduced the specificity (93.3% vs. 100%) of the 2017 McDonald criteria. CONCLUSION cNfL was related to MS diagnostic parameters and the degree of RNFL swelling. Clinical use of cNfL may aid in identification of ON patients with increased risk of MS until larger studies have elaborated on the potential loss of specificity if used diagnostically.
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Affiliation(s)
- Moschoula Passali
- Optic Neuritis Clinic, Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet-Glostrup, Glostrup, Denmark.
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark.
| | - Ian Galea
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Maria Højberg Knudsen
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet-Glostrup, Glostrup, Denmark
| | - Laurie Chi Lau
- Clinical Neurosciences, Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK
| | - Stig Præstekjær Cramer
- Functional Imaging Unit, Department of Clinical Physiology, Nuclear Medicine and PET, Copenhagen University Hospital Rigshospitalet-Glostrup, Glostrup, Denmark
| | - Jette Lautrup Frederiksen
- Optic Neuritis Clinic, Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital Rigshospitalet-Glostrup, Glostrup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Science, University of Copenhagen, Copenhagen, Denmark
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3
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O'Connell GC, Smothers CG, Wang J, Ruksakulpiwat S, Armentrout BL. Brain Expression Levels of Commonly Measured Blood Biomarkers of Neurological Damage Differ with Respect to Sex, Race, and Age. Neuroscience 2024; 551:79-93. [PMID: 38762083 DOI: 10.1016/j.neuroscience.2024.05.017] [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: 03/03/2024] [Revised: 04/30/2024] [Accepted: 05/13/2024] [Indexed: 05/20/2024]
Abstract
It is increasingly evident that blood biomarkers have potential to improve the diagnosis and management of both acute and chronic neurological conditions. The most well-studied candidates, and arguably those with the broadest utility, are proteins that are highly enriched in neural tissues and released into circulation upon cellular damage. It is currently unknown how the brain expression levels of these proteins is influenced by demographic factors such as sex, race, and age. Given that source tissue abundance is likely a key determinant of the levels observed in the blood during neurological pathology, understanding such influences is important in terms of identifying potential clinical scenarios that could produce diagnostic bias. In this study, we leveraged existing mRNA sequencing data originating from 2,642 normal brain specimens harvested from 382 human donors to examine potential demographic variability in the expression levels of genes which code for 28 candidate blood biomarkers of neurological damage. Existing mass spectrometry data originating from 26 additional normal brain specimens harvested from 26 separate human donors was subsequently used to tentatively assess whether observed transcriptional variance was likely to produce corresponding variance in terms of protein abundance. Genes associated with several well-studied or emerging candidate biomarkers including neurofilament light chain (NfL), ubiquitin carboxyl-terminal hydrolase isozyme L1 (UCH-L1), neuron-specific enolase (NSE), and synaptosomal-associated protein 25 (SNAP-25) exhibited significant differences in expression with respect to sex, race, and age. In many instances, these differences in brain expression align well with and provide a mechanistic explanation for previously reported differences in blood levels.
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Affiliation(s)
- Grant C O'Connell
- Molecular Biomarker Core, Case Western Reserve University, Cleveland, OH, USA; School of Nursing, Case Western Reserve University, Cleveland, OH, USA.
| | | | - Jing Wang
- Molecular Biomarker Core, Case Western Reserve University, Cleveland, OH, USA; School of Nursing, Case Western Reserve University, Cleveland, OH, USA
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4
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Seo D, Sun H, Choi Y. Simultaneous Protein Colorful Imaging via Raman Signal Classification. NANO LETTERS 2024; 24:8595-8601. [PMID: 38869082 DOI: 10.1021/acs.nanolett.4c01654] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2024]
Abstract
Protein imaging aids diagnosis and drug development by revealing protein-drug interactions or protein levels. However, the challenges of imaging multiple proteins, reduced sensitivity, and high reliance on specific protein properties such as Raman peaks or refractive index hinder the understanding. Here, we introduce multiprotein colorful imaging through Raman signal classification. Our method utilized machine learning-assisted classification of Raman signals, which are the distinctive features of label-free proteins. As a result, three types of proteins could be imaged simultaneously. In addition, we could quantify individual proteins from a mixture of multiple proteins over a wide detection range (10 fg/mL-1 μg/mL). These results showed a 1000-fold improvement in sensitivity and a 30-fold increase in the upper limit of detection compared to existing methods. These advances will enhance our understanding of biology and facilitate the development of disease diagnoses and treatments.
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Affiliation(s)
- Dongkwon Seo
- Department of Bio-convergence Engineering, Korea University, Seoul 02841, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul 02841, Republic of Korea
| | - Hayeon Sun
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul 02841, Republic of Korea
- Department of Biomedical Engineering, Korea University, Seoul 02841, Republic of Korea
| | - Yeonho Choi
- Department of Bio-convergence Engineering, Korea University, Seoul 02841, Republic of Korea
- Interdisciplinary Program in Precision Public Health, Korea University, Seoul 02841, Republic of Korea
- Department of Biomedical Engineering, Korea University, Seoul 02841, Republic of Korea
- School of Biomedical Engineering, Korea University, Seoul 02841, Republic of Korea
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5
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Arenaza-Urquijo EM, Boyle R, Casaletto K, Anstey KJ, Vila-Castelar C, Colverson A, Palpatzis E, Eissman JM, Kheng Siang Ng T, Raghavan S, Akinci M, Vonk JMJ, Machado LS, Zanwar PP, Shrestha HL, Wagner M, Tamburin S, Sohrabi HR, Loi S, Bartrés-Faz D, Dubal DB, Prashanthi V, Okonkwo O, Hohman TJ, Ewers M, Buckley RF. Sex and gender differences in cognitive resilience to aging and Alzheimer's disease. Alzheimers Dement 2024. [PMID: 38967222 DOI: 10.1002/alz.13844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/08/2024] [Accepted: 03/21/2024] [Indexed: 07/06/2024]
Abstract
Sex and gender-biological and social constructs-significantly impact the prevalence of protective and risk factors, influencing the burden of Alzheimer's disease (AD; amyloid beta and tau) and other pathologies (e.g., cerebrovascular disease) which ultimately shape cognitive trajectories. Understanding the interplay of these factors is central to understanding resilience and resistance mechanisms explaining maintained cognitive function and reduced pathology accumulation in aging and AD. In this narrative review, the ADDRESS! Special Interest Group (Alzheimer's Association) adopted a multidisciplinary approach to provide the foundations and recommendations for future research into sex- and gender-specific drivers of resilience, including a sex/gender-oriented review of risk factors, genetics, AD and non-AD pathologies, brain structure and function, and animal research. We urge the field to adopt a sex/gender-aware approach to resilience to advance our understanding of the intricate interplay of biological and social determinants and consider sex/gender-specific resilience throughout disease stages. HIGHLIGHTS: Sex differences in resilience to cognitive decline vary by age and cognitive status. Initial evidence supports sex-specific distinctions in brain pathology. Findings suggest sex differences in the impact of pathology on cognition. There is a sex-specific change in resilience in the transition to clinical stages. Gender and sex factors warrant study: modifiable, immune, inflammatory, and vascular.
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Affiliation(s)
- Eider M Arenaza-Urquijo
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- University of Pompeu Fabra, Barcelona, Barcelona, Spain
| | - Rory Boyle
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kaitlin Casaletto
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, USA
| | - Kaarin J Anstey
- University of New South Wales Ageing Futures Institute, Sydney, New South Wales, Australia
- Neuroscience Research Australia, Sydney, New South Wales, Australia
- School of Psychology, University of New South Wales, Sidney, New South Wales, Australia
| | - Clara Vila-Castelar
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Aaron Colverson
- University of Florida Center for Arts in Medicine Interdisciplinary Research Lab, University of Florida, Center of Arts in Medicine, Gainesville, Florida, USA
| | - Eleni Palpatzis
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- University of Pompeu Fabra, Barcelona, Barcelona, Spain
| | - Jaclyn M Eissman
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Ted Kheng Siang Ng
- Rush Institute for Healthy Aging and Department of Internal Medicine, Rush University Medical Center, Chicago, Illinois, USA
| | | | - Muge Akinci
- Environment and Health Over the Life Course Programme, Climate, Air Pollution, Nature and Urban Health Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- University of Pompeu Fabra, Barcelona, Barcelona, Spain
| | - Jet M J Vonk
- Department of Neurology, Memory and Aging Center, University of California San Francisco, San Francisco, California, USA
| | - Luiza S Machado
- Graduate Program in Biological Sciences: Biochemistry, Universidade Federal Do Rio Grande Do Sul, Farroupilha, Porto Alegre, Brazil
| | - Preeti P Zanwar
- Jefferson College of Population Health, Thomas Jefferson University, Philadelphia, Pennsylvania, USA
- The Network on Life Course and Health Dynamics and Disparities, University of Southern California, Los Angeles, California, USA
| | | | - Maude Wagner
- Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA
| | - Stefano Tamburin
- Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Hamid R Sohrabi
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Murdoch, Western Australia, Australia
- School of Psychology, Murdoch University, Murdoch, Western Australia, Australia
| | - Samantha Loi
- Neuropsychiatry Centre, Royal Melbourne Hospital, Parkville, Victoria, Australia
- Department of Psychiatry, University of Melbourne, Parkville, Victoria, Australia
| | - David Bartrés-Faz
- Department of Medicine, Faculty of Medicine and Health Sciences & Institut de Neurociències, University of Barcelona, Barcelona, Barcelona, Spain
- Institut d'Investigacions Biomèdiques (IDIBAPS), Barcelona, Barcelona, Spain
- Institut Guttmann, Institut Universitari de Neurorehabilitació adscrit a la Universitat Autónoma de Barcelona, Badalona, Barcelona, Spain
| | - Dena B Dubal
- Department of Neurology and Weill Institute of Neurosciences, University of California, San Francisco, San Francisco, California, USA
- Biomedical and Neurosciences Graduate Programs, University of California, San Francisco, San Francisco, California, USA
| | | | - Ozioma Okonkwo
- Alzheimer's Disease Research Center and Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin, USA
| | - Timothy J Hohman
- Vanderbilt Memory and Alzheimer's Center, Department of Neurology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
- Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Michael Ewers
- Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig Maximilians Universität (LMU), Munich, Germany
- German Center for Neurodegenerative Diseases (DZNE, Munich), Munich, Germany
| | - Rachel F Buckley
- Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
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McInvale JJ, Canoll P, Hargus G. Induced pluripotent stem cell models as a tool to investigate and test fluid biomarkers in Alzheimer's disease and frontotemporal dementia. Brain Pathol 2024; 34:e13231. [PMID: 38246596 PMCID: PMC11189780 DOI: 10.1111/bpa.13231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 11/29/2023] [Indexed: 01/23/2024] Open
Abstract
Neurodegenerative diseases are increasing in prevalence and comprise a large socioeconomic burden on patients and their caretakers. The need for effective therapies and avenues for disease prevention and monitoring is of paramount importance. Fluid biomarkers for neurodegenerative diseases have gained a variety of uses, including informing participant selection for clinical trials, lending confidence to clinical diagnosis and disease staging, determining prognosis, and monitoring therapeutic response. Their role is expected to grow as disease-modifying therapies start to be available to a broader range of patients and as prevention strategies become established. Many of the underlying molecular mechanisms of currently used biomarkers are incompletely understood. Animal models and in vitro systems using cell lines have been extensively employed but face important translatability limitations. Induced pluripotent stem cell (iPSC) technology, where a theoretically unlimited range of cell types can be reprogrammed from peripheral cells sampled from patients or healthy individuals, has gained prominence over the last decade. It is a promising avenue to study physiological and pathological biomarker function and response to experimental therapeutics. Such systems are amenable to high-throughput drug screening or multiomics readouts such as transcriptomics, lipidomics, and proteomics for biomarker discovery, investigation, and validation. The present review describes the current state of biomarkers in the clinical context of neurodegenerative diseases, with a focus on Alzheimer's disease and frontotemporal dementia. We include a discussion of how iPSC models have been used to investigate and test biomarkers such as amyloid-β, phosphorylated tau, neurofilament light chain or complement proteins, and even nominate novel biomarkers. We discuss the limitations of current iPSC methods, mentioning alternatives such as coculture systems and three-dimensional organoids which address some of these concerns. Finally, we propose exciting prospects for stem cell transplantation paradigms using animal models as a preclinical tool to study biomarkers in the in vivo context.
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Affiliation(s)
- Julie J. McInvale
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia UniversityNew YorkNew YorkUSA
- Medical Scientist Training Program, Columbia UniversityNew YorkNew YorkUSA
| | - Peter Canoll
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNew YorkUSA
| | - Gunnar Hargus
- Department of Pathology and Cell BiologyColumbia UniversityNew YorkNew YorkUSA
- Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia UniversityNew YorkNew YorkUSA
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7
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Wohnrade C, Seeliger T, Gingele S, Bjelica B, Skripuletz T, Petri S. Diagnostic value of neurofilaments in differentiating motor neuron disease from multifocal motor neuropathy. J Neurol 2024; 271:4441-4452. [PMID: 38683209 PMCID: PMC11233354 DOI: 10.1007/s00415-024-12355-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Revised: 03/23/2024] [Accepted: 03/26/2024] [Indexed: 05/01/2024]
Abstract
OBJECTIVE To evaluate the performance of serum neurofilament light chain (NfL) and cerebrospinal fluid (CSF) phosphorylated neurofilament heavy chain (pNfH) as diagnostic biomarkers for the differentiation between motor neuron disease (MND) and multifocal motor neuropathy (MMN). METHODS This retrospective, monocentric study included 16 patients with MMN and 34 incident patients with MND. A subgroup of lower motor neuron (MN) dominant MND patients (n = 24) was analyzed separately. Serum NfL was measured using Ella automated immunoassay, and CSF pNfH was measured using enzyme-linked immunosorbent assay. Area under the curve (AUC), optimal cutoff values (Youden's index), and correlations with demographic characteristics were calculated. RESULTS Neurofilament concentrations were significantly higher in MND compared to MMN (p < 0.001), and serum NfL and CSF pNfH correlated strongly with each other (Spearman's rho 0.68, p < 0.001). Serum NfL (AUC 0.946, sensitivity and specificity 94%) and CSF pNfH (AUC 0.937, sensitivity 90.0%, specificity 100%) performed excellent in differentiating MND from MMN. Optimal cutoff values were ≥ 44.15 pg/mL (serum NfL) and ≥ 715.5 pg/mL (CSF pNfH), respectively. Similar results were found when restricting the MND cohort to lower MN dominant patients. Only one MMN patient had serum NfL above the cutoff. Two MND patients presented with neurofilament concentrations below the cutoffs, both featuring a slowly progressive disease. CONCLUSION Neurofilaments are valuable supportive biomarkers for the differentiation between MND and MMN. Serum NfL and CSF pNfH perform similarly well and elevated neurofilaments in case of diagnostic uncertainty underpin MND diagnosis.
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Affiliation(s)
- Camilla Wohnrade
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany.
| | - Tabea Seeliger
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Stefan Gingele
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Bogdan Bjelica
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Thomas Skripuletz
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
| | - Susanne Petri
- Department of Neurology, Hannover Medical School, 30625, Hannover, Germany
- Center for Systems Neuroscience (ZSN) Hannover, 30559, Hannover, Germany
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Nathoo N, Neyal N, Kantarci OH, Zeydan B. Imaging phenotypic differences in multiple sclerosis: at the crossroads of aging, sex, race, and ethnicity. Front Glob Womens Health 2024; 5:1412482. [PMID: 39006184 PMCID: PMC11245741 DOI: 10.3389/fgwh.2024.1412482] [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: 04/05/2024] [Accepted: 06/11/2024] [Indexed: 07/16/2024] Open
Abstract
Clear sex differences are observed in clinical and imaging phenotypes of multiple sclerosis (MS), which evolve significantly over the age spectrum, and more specifically, during reproductive milestones such as pregnancy and menopause. With neuroimaging being an outcome measure and also a key subclinical biomarker of subsequent clinical phenotype in MS, this comprehensive review aims to provide an overview of sex and hormone differences in structural and functional imaging biomarkers of MS, including lesion burden and location, atrophy, white matter integrity, functional connectivity, and iron distribution. Furthermore, how therapies aimed at altering sex hormones can impact imaging of women and men with MS over the lifespan is discussed. This review also explores the key intersection between age, sex, and race/ethnicity in MS, and how this intersection may affect imaging biomarkers of MS.
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Affiliation(s)
- Nabeela Nathoo
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, United States
| | - Nur Neyal
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
| | - Orhun H Kantarci
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, United States
| | - Burcu Zeydan
- Department of Neurology, Mayo Clinic, Rochester, MN, United States
- Center for Multiple Sclerosis and Autoimmune Neurology, Mayo Clinic, Rochester, MN, United States
- Department of Radiology, Mayo Clinic, Rochester, MN, United States
- Women's Health Research Center, Mayo Clinic, Rochester, MN, United States
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9
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Jack CR, Andrews JS, Beach TG, Buracchio T, Dunn B, Graf A, Hansson O, Ho C, Jagust W, McDade E, Molinuevo JL, Okonkwo OC, Pani L, Rafii MS, Scheltens P, Siemers E, Snyder HM, Sperling R, Teunissen CE, Carrillo MC. Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup. Alzheimers Dement 2024. [PMID: 38934362 DOI: 10.1002/alz.13859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/21/2024] [Accepted: 04/04/2024] [Indexed: 06/28/2024]
Abstract
The National Institute on Aging and the Alzheimer's Association convened three separate work groups in 2011 and single work groups in 2012 and 2018 to create recommendations for the diagnosis and characterization of Alzheimer's disease (AD). The present document updates the 2018 research framework in response to several recent developments. Defining diseases biologically, rather than based on syndromic presentation, has long been standard in many areas of medicine (e.g., oncology), and is becoming a unifying concept common to all neurodegenerative diseases, not just AD. The present document is consistent with this principle. Our intent is to present objective criteria for diagnosis and staging AD, incorporating recent advances in biomarkers, to serve as a bridge between research and clinical care. These criteria are not intended to provide step-by-step clinical practice guidelines for clinical workflow or specific treatment protocols, but rather serve as general principles to inform diagnosis and staging of AD that reflect current science. HIGHLIGHTS: We define Alzheimer's disease (AD) to be a biological process that begins with the appearance of AD neuropathologic change (ADNPC) while people are asymptomatic. Progression of the neuropathologic burden leads to the later appearance and progression of clinical symptoms. Early-changing Core 1 biomarkers (amyloid positron emission tomography [PET], approved cerebrospinal fluid biomarkers, and accurate plasma biomarkers [especially phosphorylated tau 217]) map onto either the amyloid beta or AD tauopathy pathway; however, these reflect the presence of ADNPC more generally (i.e., both neuritic plaques and tangles). An abnormal Core 1 biomarker result is sufficient to establish a diagnosis of AD and to inform clinical decision making throughout the disease continuum. Later-changing Core 2 biomarkers (biofluid and tau PET) can provide prognostic information, and when abnormal, will increase confidence that AD is contributing to symptoms. An integrated biological and clinical staging scheme is described that accommodates the fact that common copathologies, cognitive reserve, and resistance may modify relationships between clinical and biological AD stages.
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Affiliation(s)
- Clifford R Jack
- Department of Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - J Scott Andrews
- Global Evidence & Outcomes, Takeda Pharmaceuticals Company Limited, Cambridge, Massachusetts, USA
| | - Thomas G Beach
- Civin Laboratory for Neuropathology, Banner Sun Health Research Institute, Sun City, Arizona, USA
| | - Teresa Buracchio
- Office of Neuroscience, U.S. Food and Drug Administration, Silver Spring, Maryland, USA
| | - Billy Dunn
- The Michael J. Fox Foundation for Parkinson's Research, New York, New York, USA
| | - Ana Graf
- Novartis, Neuroscience Global Drug Development, Basel, Switzerland
| | - Oskar Hansson
- Department of Clinical Sciences Malmö, Faculty of Medicine, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmö, Lund, Sweden
| | - Carole Ho
- Development, Denali Therapeutics, South San Francisco, California, USA
| | - William Jagust
- School of Public Health and Helen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, USA
| | - Eric McDade
- Department of Neurology, Washington University St. Louis School of Medicine, St. Louis, Missouri, USA
| | - Jose Luis Molinuevo
- Department of Global Clinical Development H. Lundbeck A/S, Experimental Medicine, Copenhagen, Denmark
| | - Ozioma C Okonkwo
- Department of Medicine, Division of Geriatrics and Gerontology, University of Wisconsin School of Medicine, Madison, Wisconsin, USA
| | - Luca Pani
- University of Miami, Miller School of Medicine, Miami, Florida, USA
| | - Michael S Rafii
- Alzheimer's Therapeutic Research Institute (ATRI), Keck School of Medicine at the University of Southern California, San Diego, California, USA
| | - Philip Scheltens
- Amsterdam University Medical Center (Emeritus), Neurology, Amsterdam, the Netherlands
| | - Eric Siemers
- Clinical Research, Acumen Pharmaceuticals, Zionsville, Indiana, USA
| | - Heather M Snyder
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
| | - Reisa Sperling
- Department of Neurology, Brigham and Women's Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Charlotte E Teunissen
- Department of Laboratory Medicine, Amsterdam UMC, Neurochemistry Laboratory, Amsterdam, the Netherlands
| | - Maria C Carrillo
- Medical & Scientific Relations Division, Alzheimer's Association, Chicago, Illinois, USA
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10
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Bayoumy S, Verberk IMW, Vermunt L, Willemse E, den Dulk B, van der Ploeg AT, Pajkrt D, Nitz E, van den Hout JMP, van der Post J, Wolf NI, Beerepoot S, Groen EJN, Tüngler V, Teunissen CE. Neurofilament light protein as a biomarker for spinal muscular atrophy: a review and reference ranges. Clin Chem Lab Med 2024; 62:1252-1265. [PMID: 38215341 DOI: 10.1515/cclm-2023-1311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 01/03/2024] [Indexed: 01/14/2024]
Abstract
Spinal muscular atrophy (SMA) is the leading genetic cause of infant mortality, characterized by progressive neuromuscular degeneration resulting from mutations in the survival motor neuron (SMN1) gene. The availability of disease-modifying therapies for SMA therapies highlights the pressing need for easily accessible and cost-effective blood biomarkers to monitor treatment response and for better disease management. Additionally, the wide implementation of newborn genetic screening programs in Western countries enables presymptomatic diagnosis of SMA and immediate treatment administration. However, the absence of monitoring and prognostic blood biomarkers for neurodegeneration in SMA hinders effective disease management. Neurofilament light protein (NfL) is a promising biomarker of neuroaxonal damage in SMA and reflects disease progression in children with SMA undergoing treatment. Recently, the European Medicines Agency issued a letter of support endorsing the potential utilization of NfL as a biomarker of pediatric neurological diseases, including SMA. Within this review, we comprehensively assess the potential applications of NfL as a monitoring biomarker for disease severity and treatment response in pediatric-onset SMA. We provide reference ranges for normal levels of serum based NfL in neurologically healthy children aged 0-18 years. These reference ranges enable accurate interpretation of NfL levels in children and can accelerate the implementation of NfL into clinical practice.
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Affiliation(s)
- Sherif Bayoumy
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Lisa Vermunt
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Eline Willemse
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ben den Dulk
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Ans T van der Ploeg
- Center for Lysosomal and Metabolic Diseases, Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Dasja Pajkrt
- Organovir Labs, Department of Pediatric Infectious Diseases, Amsterdam University Medical Centers Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Elisa Nitz
- Department of Neuropediatrics, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
| | - Johanna M P van den Hout
- Center for Lysosomal and Metabolic Diseases, Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Julie van der Post
- Organovir Labs, Department of Pediatric Infectious Diseases, Amsterdam University Medical Centers Location Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Nicole I Wolf
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, and Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Amsterdam, The Netherlands
| | - Shanice Beerepoot
- Amsterdam Leukodystrophy Center, Department of Child Neurology, Emma Children's Hospital, Amsterdam University Medical Center, VU University Amsterdam, and Amsterdam Neuroscience, Cellular & Molecular Mechanisms, Amsterdam, The Netherlands
- Center for Translational Immunology, University Medical Center Utrecht, Utrecht, The Netherlands
- Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
| | - Ewout J N Groen
- UMC Utrecht Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Victoria Tüngler
- Department of Neuropediatrics, Medizinische Fakultät, Technische Universität Dresden, Dresden, Germany
- University Center for Rare Diseases, Medizinische Fakultät Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
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11
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Bolsewig K, van Unnik AAJM, Blujdea ER, Gonzalez MC, Ashton NJ, Aarsland D, Zetterberg H, Padovani A, Bonanni L, Mollenhauer B, Schade S, Vandenberghe R, Poesen K, Kramberger MG, Paquet C, Bousiges O, Cretin B, Willemse EAJ, Teunissen CE, Lemstra AW. Association of Plasma Amyloid, P-Tau, GFAP, and NfL With CSF, Clinical, and Cognitive Features in Patients With Dementia With Lewy Bodies. Neurology 2024; 102:e209418. [PMID: 38830138 PMCID: PMC11244745 DOI: 10.1212/wnl.0000000000209418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Plasma β-amyloid-1-42/1-40 (Aβ42/40), phosphorylated-tau (P-tau), glial fibrillary acidic protein (GFAP), and neurofilament light (NfL) have been widely examined in Alzheimer disease (AD), but little is known about their reflection of copathologies, clinical importance, and predictive value in dementia with Lewy bodies (DLB). We aimed to evaluate associations of these biomarkers with CSF amyloid, cognition, and core features in DLB. METHODS This cross-sectional multicenter cohort study with prospective component included individuals with DLB, AD, and healthy controls (HCs), recruited from 2002 to 2020 with an annual follow-up of up to 5 years, from the European-Dementia With Lewy Bodies consortium. Plasma biomarkers were measured by single-molecule array (Neurology 4-Plex E kit). Amyloid status was determined by CSF Aβ42 concentrations, and cognition was assessed by Mini-Mental State Examination (MMSE). Biomarker differences across groups, associations with amyloid status, and clinical core features were assessed by analysis of covariance. Associations with cognitive impairment and decline were assessed by linear regression and linear mixed-effects models. RESULTS In our cohort consisting of 562 individuals (HC n = 89, DLB n = 342, AD n = 131; 250 women [44.5%], mean [SD] age of 71 [8] years), sex distribution did not differ between groups. Patients with DLB were significantly older, and had less years of education and worse baseline cognition than HC, but not AD. DLB participants stratified for amyloid status differed significantly in plasma Aβ42/40 ratio (decreased in amyloid abnormal: β = -0.008, 95% CI -0.016 to -0.0003, p = 0.01) and P-tau (increased in amyloid abnormal, P-tau181: β = 0.246, 95% CI 0.011-0.481; P-tau231: β = 0.227, 95% CI 0.035-0.419, both p < 0.05), but not in GFAP (β = 0.068, 95% CI -0.018 to 0.153, p = 0.119), and NfL (β = 0.004, 95% CI -0.087 to 0.096, p = 0.923) concentrations. Higher baseline GFAP, NfL, and P-tau concentrations were associated with lower MMSE scores in DLB, and GFAP and NfL were associated with a faster cognitive decline (GFAP: annual change of -2.11 MMSE points, 95% CI -2.88 to -1.35 MMSE points, p < 0.001; NfL: annual change of -2.13 MMSE points, 95% CI -2.97 to -1.29 MMSE points, p < 0.001). DLB participants with parkinsonism had higher concentrations of NfL (β = 0.08, 95% CI 0.02-0.14, p = 0.006) than those without. DISCUSSION Our study suggests a possible utility of plasma Aβ42/40, P-tau181, and P-tau231 as a noninvasive biomarkers to assess amyloid copathology in DLB, and plasma GFAP and NfL as monitoring biomarkers for cognitive symptoms in DLB.
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Affiliation(s)
- Katharina Bolsewig
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Annemartijn A J M van Unnik
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Elena R Blujdea
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Maria C Gonzalez
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Nicholas J Ashton
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Dag Aarsland
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Henrik Zetterberg
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Alessandro Padovani
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Laura Bonanni
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Brit Mollenhauer
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Sebastian Schade
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Rik Vandenberghe
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Koen Poesen
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Milica G Kramberger
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Claire Paquet
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Olivier Bousiges
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Benjamin Cretin
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Eline A J Willemse
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Charlotte E Teunissen
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
| | - Afina W Lemstra
- From the Department of Laboratory Medicine (K.B., E.R.B., E.A.J.W., C.E.T.) and Alzheimer Center Amsterdam (A.A.J.M.U., A.W.L.), Amsterdam UMC, the Netherlands; Department of Quality and Health Technology (M.C.G.), University of Stavanger; The Norwegian Centre for Movement Disorders (M.C.G.) and the Centre for Age-Related Medicine (M.C.G., N.J.A., D.A.), Stavanger University Hospital, Norway; Department of Psychiatry and Neurochemistry (N.J.A., H.Z.), the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Old Age Psychiatry (N.J.A., D.A.), King's College London, United Kingdom; Clinical Neurochemistry Laboratory (H.Z.), Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease (H.Z.), UCL Institute of Neurology; UK Dementia Research Institute at UCL (H.Z.), London, United Kingdom; Hong Kong Center for Neurodegenerative Diseases (H.Z.), Hong Kong, China; Wisconsin Alzheimer's Disease Research Center (H.Z.), University of Wisconsin School of Medicine and Public Health, Madison; Neurology Unit (A.P.), Department of Clinical and Experimental Sciences, University of Brescia, Italy; Department of Medicine and Aging Sciences (L.B.), University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; Department of Neurology (B.M.), University Medical Center Göttingen; Paracelsus-Elena-Klinik (B.M., S.S.), Germany; Department of Neurosciences (R.V., K.P.), KU Leuven, Belgium; Department of Neurology and Medical Faculty (M.G.K.), University Medical Center Ljubljana, Slovenia; Department of Neurobiology (M.G.K.), Karolinska Institutet, Huddinge, Sweden; Université de Paris Cité (C.P.), Centre de Neurologie Cognitive, Paris; Laboratory of Biochemistry and Molecular Biology (O.B.), University Hospital of Strasbourg; University of Strasbourg and CNRS (O.B., B.C.); Memory Resource and Research Centre (B.C.), University Hospital of Strasbourg, France; Department of Neurology (E.A.J.W.), Multiple Sclerosis Center; Research Center for Clinical Neuroimmunology and Neuroscience Basel (E.A.J.W.); and Departments of Biomedicine and Clinical Research (E.A.J.W.), University Hospital Basel and University of Basel, Switzerland
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Bonanni R, Cariati I, Cifelli P, Frank C, Annino G, Tancredi V, D'Arcangelo G. Exercise to Counteract Alzheimer's Disease: What Do Fluid Biomarkers Say? Int J Mol Sci 2024; 25:6951. [PMID: 39000060 PMCID: PMC11241657 DOI: 10.3390/ijms25136951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2024] [Revised: 06/14/2024] [Accepted: 06/22/2024] [Indexed: 07/16/2024] Open
Abstract
Neurodegenerative diseases (NDs) represent an unsolved problem to date with an ever-increasing population incidence. Particularly, Alzheimer's disease (AD) is the most widespread ND characterized by an accumulation of amyloid aggregates of beta-amyloid (Aβ) and Tau proteins that lead to neuronal death and subsequent cognitive decline. Although neuroimaging techniques are needed to diagnose AD, the investigation of biomarkers within body fluids could provide important information on neurodegeneration. Indeed, as there is no definitive solution for AD, the monitoring of these biomarkers is of strategic importance as they are useful for both diagnosing AD and assessing the progression of the neurodegenerative state. In this context, exercise is known to be an effective non-pharmacological management strategy for AD that can counteract cognitive decline and neurodegeneration. However, investigation of the concentration of fluid biomarkers in AD patients undergoing exercise protocols has led to unclear and often conflicting results, suggesting the need to clarify the role of exercise in modulating fluid biomarkers in AD. Therefore, this critical literature review aims to gather evidence on the main fluid biomarkers of AD and the modulatory effects of exercise to clarify the efficacy and usefulness of this non-pharmacological strategy in counteracting neurodegeneration in AD.
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Affiliation(s)
- Roberto Bonanni
- Department of Biomedicine and Prevention, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Ida Cariati
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Pierangelo Cifelli
- Department of Applied Clinical and Biotechnological Sciences, University of L'Aquila, 67100 L'Aquila, Italy
| | - Claudio Frank
- UniCamillus-Saint Camillus International University of Health Sciences, 00131 Rome, Italy
| | - Giuseppe Annino
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Centre of Space Bio-Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Sports Engineering Laboratory, Department of Industrial Engineering, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Virginia Tancredi
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Centre of Space Bio-Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
| | - Giovanna D'Arcangelo
- Department of Systems Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
- Centre of Space Bio-Medicine, "Tor Vergata" University of Rome, 00133 Rome, Italy
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Rosén C, Mitre B, Nellgård B, Axelsson M, Constantinescu R, Andersen PM, Dalla K, Blennow K, Nilsson G, Zetterberg H, Rosén H. High levels of neurofilament light and YKL-40 in cerebrospinal fluid are related to poor outcome in ALS. J Neurol Sci 2024; 463:123112. [PMID: 38972199 DOI: 10.1016/j.jns.2024.123112] [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: 12/15/2023] [Revised: 06/23/2024] [Accepted: 06/23/2024] [Indexed: 07/09/2024]
Abstract
Amyotrophic lateral sclerosis (ALS) is a neurological disease without effective treatment. No pathognomonic test can diagnose ALS in sporadic cases. Routine investigation in suspected cases includes neurological examination, imaging of the brain and spine and electromyography supported by blood and cerebrospinal fluid (CSF) analyses. The ALS diagnosis is made by clinical judgement and results from examinations. We aimed to study if the CSF biomarkers neurofilament light protein (NFL), glial fibrillary acidic protein (GFAP), YKL-40, soluble amyloid precursor protein (sAPP) α and β, and soluble triggering receptor expressed on myeloid cells 2 (sTREM2) were associated with ALS diagnosis and could predict disease progression. Eighty-one patients with suspected ALS were included after referral to the neurological clinic at Sahlgrenska University Hospital. Fifty-nine patients were diagnosed having ALS, while 22 patients were given alternative diagnoses and labeled ALS mimics. Finally, 25 age-matched neurologically intact individuals were used as controls. ALS patients had significantly higher CSF levels of NFL than controls and mimics. Levels of YKL-40 and GFAP were significantly higher in ALS patients compared with controls. No difference was found between study groups when comparing levels of sAPPα, sAPPβ and sTREM2. Further, elevated levels of NFL and YKL-40 were associated with an increased hazard of death and the annual decline in ALSFRS-R. We also found that patients with elevated levels of both NFL and YKL-40 had a particularly poor prognosis. The results demonstrate the usefulness of CSF biomarkers in the diagnosis and prognostication of ALS.
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Affiliation(s)
- Christoffer Rosén
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Bernardo Mitre
- Department of Neurology, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Bengt Nellgård
- Department of Anesthesiology and intensive care, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Markus Axelsson
- Department of Neurology, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Radu Constantinescu
- Department of Neurology, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | - Keti Dalla
- Department of Anesthesiology and intensive care, Institute of Clinical Sciences, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France; Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, PR China
| | - Gustav Nilsson
- Department of Surgery, Kungalv Hospital, Kungalv, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Psychiatry and Neurochemistry, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK; UK Dementia Research Institute at UCL, London, UK; Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China; Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Hans Rosén
- Department of Neurology, Institute of Clinical Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
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Zeng X, Lafferty TK, Sehrawat A, Chen Y, Ferreira PCL, Bellaver B, Povala G, Kamboh MI, Klunk WE, Cohen AD, Lopez OL, Ikonomovic MD, Pascoal TA, Ganguli M, Villemagne VL, Snitz BE, Karikari TK. Multi-analyte proteomic analysis identifies blood-based neuroinflammation, cerebrovascular and synaptic biomarkers in preclinical Alzheimer's disease. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.06.15.24308975. [PMID: 38947065 PMCID: PMC11213097 DOI: 10.1101/2024.06.15.24308975] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/02/2024]
Abstract
Background Blood-based biomarkers are gaining grounds for Alzheimer's disease (AD) detection. However, two key obstacles need to be addressed: the lack of methods for multi-analyte assessments and the need for markers of neuroinflammation, vascular, and synaptic dysfunction. Here, we evaluated a novel multi-analyte biomarker platform, NULISAseq CNS disease panel, a multiplex NUcleic acid-linked Immuno-Sandwich Assay (NULISA) targeting ~120 analytes, including classical AD biomarkers and key proteins defining various disease hallmarks. Methods The NULISAseq panel was applied to 176 plasma samples from the MYHAT-NI cohort of cognitively normal participants from an economically underserved region in Western Pennsylvania. Classical AD biomarkers, including p-tau181 p-tau217, p-tau231, GFAP, NEFL, Aβ40, and Aβ42, were also measured using Single Molecule Array (Simoa). Amyloid pathology, tau pathology, and neurodegeneration were evaluated with [11C] PiB PET, [18F]AV-1451 PET, and MRI, respectively. Linear mixed models were used to examine cross-sectional and Wilcoxon rank sum tests for longitudinal associations between NULISA biomarkers and AD pathologies. Spearman correlations were used to compare NULISA and Simoa. Results NULISA concurrently measured 116 plasma biomarkers with good technical performance, and good correlation with Simoa measures. Cross-sectionally, p-tau217 was the top hit to identify Aβ pathology, with age, sex, and APOE genotype-adjusted AUC of 0.930 (95%CI: 0.878-0.983). Fourteen markers were significantly decreased in Aβ-PET+ participants, including TIMP3, which regulates brain Aβ production, the neurotrophic factor BDNF, the energy metabolism marker MDH1, and several cytokines. Longitudinally, FGF2, IL4, and IL9 exhibited Aβ PET-dependent yearly increases in Aβ-PET+ participants. Markers with tau PET-dependent longitudinal changes included the microglial activation marker CHIT1, the reactive astrogliosis marker CHI3L1, the synaptic protein NPTX1, and the cerebrovascular markers PGF, PDGFRB, and VEFGA; all previously linked to AD but only reliably measured in cerebrospinal fluid. SQSTM1, the autophagosome cargo protein, exhibited a significant association with neurodegeneration status after adjusting age, sex, and APOE ε4 genotype. Conclusions Together, our results demonstrate the feasibility and potential of immunoassay-based multiplexing to provide a comprehensive view of AD-associated proteomic changes. Further validation of the identified inflammation, synaptic, and vascular markers will be important for establishing disease state markers in asymptomatic AD.
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Affiliation(s)
- Xuemei Zeng
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Tara K. Lafferty
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Anuradha Sehrawat
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Yijun Chen
- Department of Chemistry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Pamela C. L. Ferreira
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Bruna Bellaver
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Guilherme Povala
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - M. Ilyas Kamboh
- Department of Human Genetics, School of Public Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - William E. Klunk
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Ann D. Cohen
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Oscar L. Lopez
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Milos D. Ikonomovic
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Geriatric Research Education and Clinical Center, VA Pittsburgh HS, Pittsburgh, PA, USA
| | - Tharick A. Pascoal
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Mary Ganguli
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Victor L. Villemagne
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
| | - Beth E. Snitz
- Department of Neurology, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Thomas K. Karikari
- Department of Psychiatry, School of Medicine, University of Pittsburgh, 3811 O’Hara Street, Pittsburgh, PA 15213, USA
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Parkin GM, Thomas EA, Corey-Bloom J. Mapping neurodegeneration across the Huntington's disease spectrum: a five-year longitudinal analysis of plasma neurofilament light. EBioMedicine 2024; 104:105173. [PMID: 38815362 PMCID: PMC11167241 DOI: 10.1016/j.ebiom.2024.105173] [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: 10/06/2023] [Revised: 04/25/2024] [Accepted: 05/15/2024] [Indexed: 06/01/2024] Open
Abstract
BACKGROUND Neurofilament light (NfL) has previously been highlighted as a potential biomarker for Huntington's Disease (HD) using cross-sectional analyses. Our study aim was to investigate how longitudinal trajectories of plasma NfL relate to HD disease stage. METHODS 108 participants [78 individuals with the HD mutation, and 30 healthy controls (HC)] were included in this study. Individuals with the HD mutation were categorised separately by both HD-Integrated Staging System (HD-ISS) (Study 1) and PIN score-Approximated Staging System (PASS) (Study 2) criteria. Plasma NfL trajectories were examined using Mixed Linear Modeling (MLM); associations with symptom presentation were assessed using Spearman's rho correlations. FINDINGS The MLM coefficients for disease stage (HD-ISS β = 32.73, p < 0.0001; PASS β = 33.00, p < 0.0001) and disease stage∗time (HD-ISS β = 7.85, p = 0.004; PASS β = 6.58, p = 0.0047) suggest these are significant contributors to plasma NfL levels. In addition, the plasma NfL rate of change varied significantly across time (HD-ISS β = 3.14, p = 0.04; PASS β = 2.94, p = 0.050). The annualised rate of change was 8.32% for HC; 10.55%, 12.75% and 15.62% for HD-ISS Stage ≤1, Stage 2, and Stage 3, respectively; and 12.13%, 10.46%, 10.33%, 17.52%, for PASS Stage 0, Stage 1, Stage 2, and Stage 3, respectively. Plasma NfL levels correlated with the Symbol Digit Modalities Test (SDMT) in HD-ISS Stage ≤1, and both SDMT and Total Motor Score in Stage 3 (ps < 0.01). INTERPRETATION Our findings suggest that plasma NfL levels increase linearly across earlier disease stages, correlating with the cognitive SDMT measure. Thereafter, an increase or surge in plasma NfL levels, paired with correlations with both cognitive and motor measures, suggest a late acceleration in clinical and pathological progression. FUNDING NIH (NS111655); the UCSD HDSA CoE; the UCSD ADRC (NIH-NIA P30 AG062429).
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Affiliation(s)
- Georgia M Parkin
- Department of Neurosciences, University of California San Diego, San Diego, 92093, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, 92697, CA, USA.
| | - Elizabeth A Thomas
- Department of Neurobiology and Behavior, University of California Irvine, Irvine, 92697, CA, USA; Institute for Interdisciplinary Salivary Bioscience Research, University of California Irvine, Irvine, 92697, CA, USA
| | - Jody Corey-Bloom
- Department of Neurosciences, University of California San Diego, San Diego, 92093, CA, USA
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16
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Alagaratnam J, Stöhr W, Hamlyn E, Porter K, Toombs J, Heslegrave A, Zetterberg H, Gisslén M, Underwood J, Schechter M, Kaleebu P, Tambussi G, Kinloch S, Miro JM, Kelleher AD, Babiker A, Frater J, Winston A, Fidler S. Impact of interrupting antiretroviral therapy started during primary HIV-1 infection on plasma neurofilament light chain protein, a marker of neuronal injury: The SPARTAC trial. J Virus Erad 2024; 10:100381. [PMID: 38988673 PMCID: PMC11234014 DOI: 10.1016/j.jve.2024.100381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/11/2024] [Accepted: 06/12/2024] [Indexed: 07/12/2024] Open
Abstract
Objective Antiretroviral therapy (ART)-conferred suppression of HIV replication limits neuronal injury and inflammation. ART interruption tests efficacy in HIV cure trials and viral rebound after ART interruption may induce neuronal injury. We investigated the impact of protocol-defined ART interruption, commenced during primary HIV-1 infection (PHI) on a biomarker of neuro-axonal injury (neurofilament light protein (NfL)), and its associations with inflammation (D-dimer and interleukin-6 (IL-6)) and HIV-1 reservoir size (total HIV-1 DNA). Design Retrospective study measuring plasma NfL in 83 participants enrolled in SPARTAC randomised to receive 48-weeks ART initiated during PHI, followed by ART interruption. Methods NfL (Simoa immunoassay, Quanterix™) was measured before ART, after 48 weeks on ART, and 12 weeks after stopping ART. Plasma D-dimer and IL-6, and total HIV-1 DNA in peripheral CD4+ T-cells results were available in a subset of participants. Longitudinal NfL changes were assessed using mixed models, and associations with clinical and laboratory parameters using linear regression. Results NfL decreased following 48-weeks ART (geometric mean 6.9 to 5.8 pg/mL, p = 0.006) with no further significant change up to 12-weeks post-stopping ART despite viral rebound in the majority of participants (median 1.7 to 3.9 plasma HIV-1 RNA log10 copies/mL). Higher baseline NfL was independently associated with higher plasma HIV-1 RNA (p = 0.020) and older age (p = 0.002). While NfL was positively associated with D-dimer (n = 48; p = 0.002), there was no significant association with IL-6 (n = 48) or total HIV-1 DNA (n = 51). Conclusions Using plasma NfL as a surrogate marker, a decrease in neuro-axonal injury was observed in a cohort of participants following ART initiation during PHI, with no evidence of neuro-axonal injury rebound following ART interruption for up to 12 weeks, despite viral rebound in the majority of participants.
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Affiliation(s)
- Jasmini Alagaratnam
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
- Genitourinary Medicine/ HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Wolfgang Stöhr
- Medical Research Council Clinical Trials Unit at University College London, London, United Kingdom
| | - Elizabeth Hamlyn
- Caldecot Centre, Kings College Hospital NHS Foundation Trust, London, United Kingdom
| | - Kholoud Porter
- Institute for Global Health, University College London, London, United Kingdom
| | - Jamie Toombs
- UK Dementia Research Institute at University College London, London, United Kingdom
| | - Amanda Heslegrave
- UK Dementia Research Institute at University College London, London, United Kingdom
| | - Henrik Zetterberg
- UK Dementia Research Institute at University College London, London, United Kingdom
- Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, United Kingdom
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Magnus Gisslén
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Sahlgrenska University Hospital, Department of Infectious Diseases, Gothenburg, Sweden
| | - Jonathan Underwood
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - Mauro Schechter
- Projeto Praça Onze, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
| | - Pontiano Kaleebu
- Medical Research Council/Uganda Virus Research Institute, Entebbe, Uganda
| | | | - Sabine Kinloch
- Department of Infection and Immunity, Royal Free Hospital, Pond Street, London, United Kingdom
| | - Jose M Miro
- Infectious Diseases Service, Hospital Clinic - IDIBAPS. University of Barcelona, Barcelona, Spain
- CIBERINFEC, Instituto de Salud Carlos III, Madrid, Spain
| | | | - Abdel Babiker
- Medical Research Council Clinical Trials Unit at University College London, London, United Kingdom
| | - John Frater
- Peter Medawar Building for Pathogen Research, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
- National Institute of Health Research Biomedical Research Centre, Oxford, United Kingdom
| | - Alan Winston
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
- Genitourinary Medicine/ HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom
| | - Sarah Fidler
- Department of Infectious Disease, Faculty of Medicine, Imperial College London, London, United Kingdom
- Genitourinary Medicine/ HIV Department, St Mary's Hospital, Imperial College Healthcare NHS Trust, London, United Kingdom
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Gouilly D, Vrillon A, Bertrand E, Goubeaud M, Catala H, Germain J, Ainaoui N, Rafiq M, Nogueira L, Mouton-Liger F, Planton M, Salabert AS, Hitzel A, Méligne D, Jasse L, Sarton B, Silva S, Lemesle B, Péran P, Payoux P, Thalamas C, Paquet C, Pariente J. Translocator protein (TSPO) genotype does not change cerebrospinal fluid levels of glial activation, axonal and synaptic damage markers in early Alzheimer's disease. Neuroimage Clin 2024; 43:103626. [PMID: 38850834 PMCID: PMC11201347 DOI: 10.1016/j.nicl.2024.103626] [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: 02/29/2024] [Revised: 05/10/2024] [Accepted: 05/29/2024] [Indexed: 06/10/2024]
Abstract
BACKGROUND PET imaging of the translocator protein (TSPO) is used to assess in vivo brain inflammation. One of the main methodological issues with this method is the allelic dependence of the radiotracer affinity. In Alzheimer's disease (AD), previous studies have shown similar clinical and patho-biological profiles between TSPO genetic subgroups. However, there is no evidence regarding the effect of the TSPO genotype on cerebrospinal-fluid biomarkers of glial activation, and synaptic and axonal damage. METHOD We performed a trans-sectional study in early AD to compare cerebrospinal-fluid levels of GFAP, YKL-40, sTREM2, IL-6, IL-10, NfL and neurogranin between TSPO genetic subgroups. RESULTS We recruited 33 patients with early AD including 16 (48%) high affinity binders, 13 (39%) mixed affinity binders, and 4/33 (12%) low affinity binders. No difference was observed in terms of demographics, and cerebrospinal fluid levels of each biomarker for the different subgroups. CONCLUSION TSPO genotype is not associated with a change in glial activation, synaptic and axonal damage in early AD. Further studies with larger numbers of participants will be needed to confirm that the inclusion of specific TSPO genetic subgroups does not introduce selection bias in studies and trials of AD that combine TSPO imaging with cerebrospinal fluid biomarkers.
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Affiliation(s)
- Dominique Gouilly
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France.
| | - Agathe Vrillon
- Université de Paris, Cognitive Neurology Center, GHU Nord, APHP, Hospital Lariboisière Fernand Widal, Paris, France; Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Elsa Bertrand
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Marie Goubeaud
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Hélène Catala
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Johanne Germain
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Nadéra Ainaoui
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Marie Rafiq
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France; Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Leonor Nogueira
- Laboratory of Cell Biology and Cytology, CHU Toulouse Purpan, Toulouse, France
| | - François Mouton-Liger
- Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Mélanie Planton
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France; Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Anne-Sophie Salabert
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Department of Nuclear Medicine, CHU Toulouse Purpan, Toulouse, France
| | - Anne Hitzel
- Department of Nuclear Medicine, CHU Toulouse Purpan, Toulouse, France
| | - Déborah Méligne
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Laurence Jasse
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France
| | - Benjamine Sarton
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Critical Care Unit, CHU Toulouse Purpan, Toulouse, France
| | - Stein Silva
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Critical Care Unit, CHU Toulouse Purpan, Toulouse, France
| | - Béatrice Lemesle
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France
| | - Patrice Péran
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
| | - Pierre Payoux
- Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France; Department of Nuclear Medicine, CHU Toulouse Purpan, Toulouse, France
| | - Claire Thalamas
- Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France
| | - Claire Paquet
- Université de Paris, Cognitive Neurology Center, GHU Nord, APHP, Hospital Lariboisière Fernand Widal, Paris, France; Université de Paris, Inserm UMRS11-44 Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Jérémie Pariente
- Department of Cognitive Neurology, Epilepsy, Sleep and Movement Disorders, CHU Toulouse Purpan, Toulouse, France; Center of Clinical Investigation, CHU Toulouse Purpan (CIC 1436), Toulouse, France; Toulouse Neuroimaging Center, UMR 1214, Inserm/UPS, Toulouse, France
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Xu C, Yi T, Qing T, Jiang Y, Yi X, Xu J, Ma J. Serum neurofilament light chain: a predictive marker for outcomes following mild-to-moderate ischemic stroke. Front Neurol 2024; 15:1398826. [PMID: 38841696 PMCID: PMC11150679 DOI: 10.3389/fneur.2024.1398826] [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: 03/10/2024] [Accepted: 05/02/2024] [Indexed: 06/07/2024] Open
Abstract
Background Biomarkers that reflect brain damage or predict functional outcomes may aid in guiding personalized stroke treatments. Serum neurofilament light chain (sNfL) emerges as a promising candidate for fulfilling this role. Methods This prospective, observational cohort investigation included 319 acute ischemic stroke (IS) patients. The endpoints were the incidence of early neurological deterioration (END, an elevation of two or more points in the National Institute of Health stroke scale score within a week of hospitalization compared with the baseline) and functional outcome at 3 months (an mRS score of >2 at 3 months was categorized as an unfavorable/poor functional outcome). The association of sNfL, which was assessed within 24 h of admission, with END and unfavorable functional outcomes at follow-up was assessed via multivariate logistic regression, whereas the predictive value of sNfL for unfavorable functional outcomes and END was elucidated by the receiver operating characteristic curve (ROC). Results Of 319 IS individuals, 89 (27.90%) suffered from END. sNfL not only reflects the severity of stroke measured by NIHSS score (p < 0.05) but also closely related to the severity of age-related white matter changes. Higher initial NIHSS score, severe white matter lesions, diabetes mellitus, and upregulated sNfL were significant predictors of END. Similarly, the multivariate logistic regression analysis results showed that elevated sNfL, a higher baseline NIHSS score, and severe white matter lesions were substantially linked with unfavorable outcomes for 3 months. Similarly, sNfL was valuable for the prediction of the 3 months of poor outcome (95%CI, 0.504-0.642, p = 0.044). Kaplan-Meier analysis shows that patients with elevated sNfL levels are more likely to reach combined cerebrovascular endpoints (log-rank test p < 0.05). Conclusion This investigation suggests that sNfL can serve as a valuable biomarker for predicting END and 3-month poor functional outcomes after an IS and has the potential to forecast long-term cardiovascular outcomes.
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Affiliation(s)
- Chongxi Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Tong Yi
- Department of Neurology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ting Qing
- Department of Neurology, The Second People’s Hospital of Deyang City, Deyang, Sichuan, China
| | - Yongliang Jiang
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xingyang Yi
- Department of Neurology, People’s Hospital of Deyang City, Deyang, Sichuan, China
| | - Jianguo Xu
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Junpeng Ma
- Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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19
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Penny LK, Lofthouse R, Arastoo M, Porter A, Palliyil S, Harrington CR, Wischik CM. Considerations for biomarker strategies in clinical trials investigating tau-targeting therapeutics for Alzheimer's disease. Transl Neurodegener 2024; 13:25. [PMID: 38773569 PMCID: PMC11107038 DOI: 10.1186/s40035-024-00417-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 04/24/2024] [Indexed: 05/24/2024] Open
Abstract
The use of biomarker-led clinical trial designs has been transformative for investigating amyloid-targeting therapies for Alzheimer's disease (AD). The designs have ensured the correct selection of patients on these trials, supported target engagement and have been used to support claims of disease modification and clinical efficacy. Ultimately, this has recently led to approval of disease-modifying, amyloid-targeting therapies for AD; something that should be noted for clinical trials investigating tau-targeting therapies for AD. There is a clear overlap of the purpose of biomarker use at each stage of clinical development between amyloid-targeting and tau-targeting clinical trials. However, there are differences within the potential context of use and interpretation for some biomarkers in particular measurements of amyloid and utility of soluble, phosphorylated tau biomarkers. Given the complexities of tau in health and disease, it is paramount that therapies target disease-relevant tau and, in parallel, appropriate assays of target engagement are developed. Tau positron emission tomography, fluid biomarkers reflecting tau pathology and downstream measures of neurodegeneration will be important both for participant recruitment and for monitoring disease-modification in tau-targeting clinical trials. Bespoke design of biomarker strategies and interpretations for different modalities and tau-based targets should also be considered.
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Affiliation(s)
- Lewis K Penny
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen, UK
- TauRx Therapeutics Ltd, Aberdeen, UK
| | - Richard Lofthouse
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen, UK
| | - Mohammad Arastoo
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen, UK
| | - Andy Porter
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen, UK
| | - Soumya Palliyil
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
- Scottish Biologics Facility, University of Aberdeen, Aberdeen, UK
| | - Charles R Harrington
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK
- GT Diagnostics (UK) Ltd, Aberdeen, UK
- TauRx Therapeutics Ltd, Aberdeen, UK
| | - Claude M Wischik
- Institute of Medical Sciences, University of Aberdeen, Aberdeen, UK.
- GT Diagnostics (UK) Ltd, Aberdeen, UK.
- TauRx Therapeutics Ltd, Aberdeen, UK.
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20
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Chang HI, Huang KL, Huang CG, Huang CW, Huang SH, Lin KJ, Chang CC. Clinical Significance of the Plasma Biomarker Panels in Amyloid-Negative and Tau PET-Positive Amnestic Patients: Comparisons with Alzheimer's Disease and Unimpaired Cognitive Controls. Int J Mol Sci 2024; 25:5607. [PMID: 38891795 PMCID: PMC11171590 DOI: 10.3390/ijms25115607] [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: 04/12/2024] [Revised: 05/14/2024] [Accepted: 05/15/2024] [Indexed: 06/21/2024] Open
Abstract
The purpose of this study was to investigate whether plasma biomarkers can help to diagnose, differentiate from Alzheimer disease (AD), and stage cognitive performance in patients with positron emission tomography (PET)-confirmed primary age-related tauopathy, termed tau-first cognitive proteinopathy (TCP) in this study. In this multi-center study, we enrolled 285 subjects with young-onset AD (YOAD; n = 55), late-onset AD (LOAD; n = 96), TCP (n = 44), and cognitively unimpaired controls (CTL; n = 90) and analyzed plasma Aβ42/Aβ40, pTau181, neurofilament light (NFL), and total-tau using single-molecule assays. Amyloid and tau centiloids reflected pathological burden, and hippocampal volume reflected structural integrity. Receiver operating characteristic curves and areas under the curves (AUCs) were used to determine the diagnostic accuracy of plasma biomarkers compared to hippocampal volume and amyloid and tau centiloids. The Mini-Mental State Examination score (MMSE) served as the major cognitive outcome. Logistic stepwise regression was used to assess the overall diagnostic accuracy, combining fluid and structural biomarkers and a stepwise linear regression model for the significant variables for MMSE. For TCP, tau centiloid reached the highest AUC for diagnosis (0.79), while pTau181 could differentiate TCP from YOAD (accuracy 0.775) and LOAD (accuracy 0.806). NFL reflected the clinical dementia rating in TCP, while pTau181 (rho = 0.3487, p = 0.03) and Aβ42/Aβ40 (rho = -0.36, p = 0.02) were significantly correlated with tau centiloid. Hippocampal volume (unstandardized β = 4.99, p = 0.01) outperformed all of the fluid biomarkers in predicting MMSE scores in the TCP group. Our results support the superiority of tau PET to diagnose TCP, pTau181 to differentiate TCP from YOAD or LOAD, and NFL for functional staging.
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Affiliation(s)
- Hsin-I Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
| | - Kuo-Lun Huang
- Department of Neurology, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chung-Gue Huang
- Department of Medical Laboratory, Linkou Chang Gung Memorial Hospital, Department of Medical Bio-Technology and Laboratory Science, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chi-Wei Huang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
| | - Shu-Hua Huang
- Department of Nuclear Medicine, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan;
| | - Kun-Ju Lin
- Department of Nuclear Medicine, Linkou Chang Gung Memorial Hospital, Chang Gung University, Taoyuan 333423, Taiwan;
| | - Chiung-Chih Chang
- Department of Neurology, Cognition and Aging Center, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung 83301, Taiwan; (H.-I.C.); (C.-W.H.)
- Institute for Translational Research in Biomedicine, Kaohsiung Chang Gung Memorial Hospital, Kaohsiung 83301, Taiwan
- School of Medicine, College of Medicine, National Sun Yat-sen University, Kaohsiung 80404, Taiwan
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21
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Koivumäki M, Ekblad L, Lantero-Rodriguez J, Ashton NJ, Karikari TK, Helin S, Parkkola R, Lötjönen J, Zetterberg H, Blennow K, Rinne JO, Snellman A. Blood biomarkers of neurodegeneration associate differently with amyloid deposition, medial temporal atrophy, and cerebrovascular changes in APOE ε4-enriched cognitively unimpaired elderly. Alzheimers Res Ther 2024; 16:112. [PMID: 38762725 PMCID: PMC11102270 DOI: 10.1186/s13195-024-01477-w] [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: 06/29/2023] [Accepted: 05/06/2024] [Indexed: 05/20/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is characterized by the accumulation of amyloid-β (Aβ) plaques, neurofibrillary tau tangles, and neurodegeneration in the brain parenchyma. Here, we aimed to (i) assess differences in blood and imaging biomarkers used to evaluate neurodegeneration among cognitively unimpaired APOE ε4 homozygotes, heterozygotes, and non-carriers with varying risk for sporadic AD, and (ii) to determine how different cerebral pathologies (i.e., Aβ deposition, medial temporal atrophy, and cerebrovascular pathology) contribute to blood biomarker concentrations in this sample. METHODS Sixty APOE ε4 homozygotes (n = 19), heterozygotes (n = 21), and non-carriers (n = 20) ranging from 60 to 75 years, were recruited in collaboration with Auria biobank (Turku, Finland). Participants underwent Aβ-PET ([11C]PiB), structural brain MRI including T1-weighted and T2-FLAIR sequences, and blood sampling for measuring serum neurofilament light chain (NfL), plasma total tau (t-tau), plasma N-terminal tau fragments (NTA-tau) and plasma glial fibrillary acidic protein (GFAP). [11C]PiB standardized uptake value ratio was calculated for regions typical for Aβ accumulation in AD. MRI images were analysed for regional volumes, atrophy scores, and volumes of white matter hyperintensities. Differences in biomarker levels and associations between blood and imaging biomarkers were tested using uni- and multivariable linear models (unadjusted and adjusted for age and sex). RESULTS Serum NfL concentration was increased in APOE ε4 homozygotes compared with non-carriers (mean 21.4 pg/ml (SD 9.5) vs. 15.5 pg/ml (3.8), p = 0.013), whereas other blood biomarkers did not differ between the groups (p > 0.077 for all). From imaging biomarkers, hippocampal volume was significantly decreased in APOE ε4 homozygotes compared with non-carriers (6.71 ml (0.86) vs. 7.2 ml (0.7), p = 0.029). In the whole sample, blood biomarker levels were differently predicted by the three measured cerebral pathologies; serum NfL concentration was associated with cerebrovascular pathology and medial temporal atrophy, while plasma NTA-tau associated with medial temporal atrophy. Plasma GFAP showed significant association with both medial temporal atrophy and Aβ pathology. Plasma t-tau concentration did not associate with any of the measured pathologies. CONCLUSIONS Only increased serum NfL concentrations and decreased hippocampal volume was observed in cognitively unimpaired APOEε4 homozygotes compared to non-carriers. In the whole population the concentrations of blood biomarkers were affected in distinct ways by different pathologies.
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Affiliation(s)
- Mikko Koivumäki
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland.
| | - Laura Ekblad
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Department of Geriatric Medicine, Turku University Hospital and University of Turku, Turku, Finland
| | - Juan Lantero-Rodriguez
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
- Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London, UK
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Semi Helin
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
| | - Riitta Parkkola
- Department of Radiology, Turku University Hospital, University of Turku, Turku, Finland
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Juha O Rinne
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- InFLAMES Research Flagship Center, University of Turku, Turku, Finland
| | - Anniina Snellman
- Turku PET Centre, Turku University Hospital, University of Turku, Turku, Finland
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience & Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
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22
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Gaur A, Gallagher D, Herrmann N, Chen JJ, Marzolini S, Oh P, Amemiya Y, Seth A, Kiss A, Lanctôt KL. Neurofilament Light Chain as a Biomarker of Global Cognition in Individuals With Possible Vascular Mild Cognitive Impairment. J Geriatr Psychiatry Neurol 2024:8919887241254469. [PMID: 38757180 DOI: 10.1177/08919887241254469] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/18/2024]
Abstract
BACKGROUND Neurofilament Light Chain (NfL) is a biomarker of axonal injury elevated in mild cognitive impairment (MCI) and Alzheimer's disease dementia. Blood NfL also inversely correlates with cognitive performance in those conditions. However, few studies have assessed NfL as a biomarker of global cognition in individuals demonstrating mild cognitive deficits who are at risk for vascular-related cognitive decline. OBJECTIVE To assess the relationship between blood NfL and global cognition in individuals with possible vascular MCI (vMCI) throughout cardiac rehabilitation (CR). Additionally, NfL levels were compared to age/sex-matched cognitively unimpaired (CU) controls. METHOD Participants with coronary artery disease (vMCI or CU) were recruited at entry to a 24-week CR program. Global cognition was measured using the Montreal Cognitive Assessment (MoCA) and plasma NfL level (pg/ml) was quantified using a highly sensitive enzyme-linked immunosorbent assay. RESULTS Higher plasma NfL was correlated with worse MoCA scores at baseline (β = -.352, P = .029) in 43 individuals with vMCI after adjusting for age, sex, and education. An increase in NfL was associated with worse global cognition (b[SE] = -4.81[2.06], P = .023) over time, however baseline NfL did not predict a decline in global cognition. NfL levels did not differ between the vMCI (n = 39) and CU (n = 39) groups (F(1, 76) = 1.37, P = .245). CONCLUSION Plasma NfL correlates with global cognition at baseline in individuals with vMCI, and is associated with decline in global cognition during CR. Our findings increase understanding of NfL and neurobiological mechanisms associated with cognitive decline in vMCI.
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Affiliation(s)
- Amish Gaur
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Damien Gallagher
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Nathan Herrmann
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
| | - Jinghan Jenny Chen
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
| | - Susan Marzolini
- KITE Research Institute, Toronto Rehabilitation Institute, Toronto, ON, Canada
| | - Paul Oh
- KITE Research Institute, Toronto Rehabilitation Institute, Toronto, ON, Canada
| | - Yutaka Amemiya
- Genomics Core Facility, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Arun Seth
- Genomics Core Facility, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Alex Kiss
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
| | - Krista L Lanctôt
- Hurvitz Brain Sciences Program, Sunnybrook Research Institute, Toronto, ON, Canada
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, ON, Canada
- Department of Psychiatry, University of Toronto, Toronto, ON, Canada
- KITE Research Institute, Toronto Rehabilitation Institute, Toronto, ON, Canada
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23
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Maglio G, D’Agostino M, Caronte FP, Pezone L, Casamassimi A, Rienzo M, Di Zazzo E, Nappo C, Medici N, Molinari AM, Abbondanza C. Multiple Sclerosis: From the Application of Oligoclonal Bands to Novel Potential Biomarkers. Int J Mol Sci 2024; 25:5412. [PMID: 38791450 PMCID: PMC11121866 DOI: 10.3390/ijms25105412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 05/26/2024] Open
Abstract
Multiple sclerosis is a chronic immune-mediated disorder of the central nervous system with a high heterogeneity among patients. In the clinical setting, one of the main challenges is a proper and early diagnosis for the prediction of disease activity. Current diagnosis is based on the integration of clinical, imaging, and laboratory results, with the latter based on the presence of intrathecal IgG oligoclonal bands in the cerebrospinal fluid whose detection via isoelectric focusing followed by immunoblotting represents the gold standard. Intrathecal synthesis can also be evidenced by the measurement of kappa free light chains in the cerebrospinal fluid, which has reached similar diagnostic accuracy compared to that of oligoclonal bands in the identification of patients with multiple sclerosis; moreover, recent studies have also highlighted its value for early disease activity prediction. This strategy has significant advantages as compared to using oligoclonal band detection, even though some issues remain open. Here, we discuss the current methods applied for cerebrospinal fluid analysis to achieve the most accurate diagnosis and for follow-up and prognosis evaluation. In addition, we describe new promising biomarkers, currently under investigation, that could contribute both to a better diagnosis of multiple sclerosis and to its monitoring of the therapeutic treatment response.
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Affiliation(s)
- Grazia Maglio
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Marina D’Agostino
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Francesco Pio Caronte
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Luciano Pezone
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Amelia Casamassimi
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Monica Rienzo
- Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania “Luigi Vanvitelli”, 81100 Caserta, Italy;
| | - Erika Di Zazzo
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, 86100 Campobasso, Italy;
| | - Carmela Nappo
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
| | - Nicola Medici
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Anna Maria Molinari
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
| | - Ciro Abbondanza
- Unit of Clinical and Molecular Pathology, A.O.U. University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy; (G.M.); (M.D.); (F.P.C.); (L.P.); (C.N.); (N.M.); (A.M.M.)
- Department of Precision Medicine, University of Campania “Luigi Vanvitelli”, 80138 Naples, Italy
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24
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Hu Z, Cinque P, Dravid A, Hagberg L, Yilmaz A, Zetterberg H, Fuchs D, Gostner J, Blennow K, Spudich SS, Kincer L, Zhou S, Joseph S, Swanstrom R, Price RW, Gisslén M. Changes in Cerebrospinal Fluid Proteins across the Spectrum of Untreated and Treated Chronic HIV-1 Infection. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.03.592451. [PMID: 38746436 PMCID: PMC11092784 DOI: 10.1101/2024.05.03.592451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Using the Olink Explore 1536 platform, we measured 1,463 unique proteins in 303 cerebrospinal fluid (CSF) specimens from four clinical centers that included uninfected controls and 12 groups of people living with HIV-1 infection representing the spectrum of progressive untreated and treated chronic infection. We present three initial analyses of these measurements: an overview of the CSF protein features of the sample; correlations of the CSF proteins with CSF HIV-1 RNA and neurofilament light chain protein (NfL) concentrations; and comparison of the CSF proteins in HIV-associated dementia ( HAD ) and neurosymptomatic CSF escape ( NSE ). These reveal a complex but coherent picture of CSF protein changes that includes highest concentrations of many proteins during CNS injury in the HAD and NSE groups and variable protein changes across the course of neuroasymptomatic systemic HIV-1 progression, including two common patterns, designated as lymphoid and myeloid patterns, related to the principal involvement of their underlying inflammatory cell lineages. Antiretroviral therapy reduced CSF protein perturbations, though not always to control levels. The dataset of these CSF protein measurements, along with background clinical information, is posted online. Extended studies of this unique dataset will provide more detailed characterization of the dynamic impact of HIV-1 infection on the CSF proteome across the spectrum of HIV-1 infection, and further the mechanistic understanding of HIV-1-related CNS pathobiology.
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25
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Gentile JE, Heiss C, Corridon TL, Mortberg MA, Fruhwürth S, Guzman K, Grötschel L, Chan K, Herring NC, Janicki T, Nhass R, Sarathy JM, Erickson B, Kunz R, Erickson A, Braun C, Henry KT, Bry L, Arnold SE, Minikel EV, Zetterberg H, Vallabh SM. Evidence that minocycline treatment confounds the interpretation of neurofilament as a biomarker. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.01.24306384. [PMID: 38746398 PMCID: PMC11092701 DOI: 10.1101/2024.05.01.24306384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Neurofilament light (NfL) concentration in cerebrospinal fluid (CSF) and blood serves as an important biomarker in neurology drug development. Changes in NfL are generally assumed to reflect changes in neuronal damage, while little is known about the clearance of NfL from biofluids. We observed an NfL increase of 3.5-fold in plasma and 5.7-fold in CSF in an asymptomatic individual at risk for genetic prion disease following 6 weeks' treatment with oral minocycline for a dermatologic indication. Other biomarkers remained normal, and proteomic analysis of CSF revealed that the spike was exquisitely specific to neurofilaments. NfL dropped nearly to normal levels 5 weeks after minocycline cessation, and the individual remained free of disease 2 years later. Plasma NfL in dermatology patients was not elevated above normal controls. Dramatically high plasma NfL (>500 pg/mL) was variably observed in some hospitalized individuals receiving minocycline. In mice, treatment with minocycline resulted in variable increases of 1.3- to 4.0-fold in plasma NfL, with complete washout 2 weeks after cessation. In neuron-microglia co-cultures, minocycline increased NfL concentration in conditioned media by 3.0-fold without any visually obvious impact on neuronal health. We hypothesize that minocycline does not cause or exacerbate neuronal damage, but instead impacts the clearance of NfL from biofluids, a potential confounder for interpretation of this biomarker.
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26
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Li Y, Yen D, Hendrix RD, Gordon BA, Dlamini S, Barthélemy NR, Aschenbrenner AJ, Henson RL, Herries EM, Volluz K, Kirmess K, Eastwood S, Meyer M, Heller M, Jarrett L, McDade E, Holtzman DM, Benzinger TL, Morris JC, Bateman RJ, Xiong C, Schindler SE. Timing of Biomarker Changes in Sporadic Alzheimer's Disease in Estimated Years from Symptom Onset. Ann Neurol 2024; 95:951-965. [PMID: 38400792 PMCID: PMC11060905 DOI: 10.1002/ana.26891] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/26/2023] [Accepted: 01/30/2024] [Indexed: 02/26/2024]
Abstract
OBJECTIVE A clock relating amyloid positron emission tomography (PET) to time was used to estimate the timing of biomarker changes in sporadic Alzheimer disease (AD). METHODS Research participants were included who underwent cerebrospinal fluid (CSF) collection within 2 years of amyloid PET. The ages at amyloid onset and AD symptom onset were estimated for each individual. The timing of change for plasma, CSF, imaging, and cognitive measures was calculated by comparing restricted cubic splines of cross-sectional data from the amyloid PET positive and negative groups. RESULTS The amyloid PET positive sub-cohort (n = 118) had an average age of 70.4 ± 7.4 years (mean ± standard deviation) and 16% were cognitively impaired. The amyloid PET negative sub-cohort (n = 277) included individuals with low levels of amyloid plaque burden at all scans who were cognitively unimpaired at the time of the scans. Biomarker changes were detected 15-19 years before estimated symptom onset for CSF Aβ42/Aβ40, plasma Aβ42/Aβ40, CSF pT217/T217, and amyloid PET; 12-14 years before estimated symptom onset for plasma pT217/T217, CSF neurogranin, CSF SNAP-25, CSF sTREM2, plasma GFAP, and plasma NfL; and 7-9 years before estimated symptom onset for CSF pT205/T205, CSF YKL-40, hippocampal volumes, and cognitive measures. INTERPRETATION The use of an amyloid clock enabled visualization and analysis of biomarker changes as a function of estimated years from symptom onset in sporadic AD. This study demonstrates that estimated years from symptom onset based on an amyloid clock can be used as a continuous staging measure for sporadic AD and aligns with findings in autosomal dominant AD. ANN NEUROL 2024;95:951-965.
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Affiliation(s)
- Yan Li
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel Yen
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Rachel D. Hendrix
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Brian A. Gordon
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
| | - Sibonginkhosi Dlamini
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Nicolas R. Barthélemy
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Rachel L. Henson
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Elizabeth M. Herries
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Katherine Volluz
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | | | | | | | - Maren Heller
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Lea Jarrett
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
| | - Eric McDade
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - David M. Holtzman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Tammie L.S. Benzinger
- Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - John C. Morris
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Randall J. Bateman
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
| | - Chengjie Xiong
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
- Division of Biostatistics, Washington University School of Medicine, St. Louis, MO, USA
| | - Suzanne E. Schindler
- Department of Neurology, Washington University School of Medicine, St. Louis, MO, USA
- Knight Alzheimer Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA
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27
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Khalil M, Teunissen CE, Lehmann S, Otto M, Piehl F, Ziemssen T, Bittner S, Sormani MP, Gattringer T, Abu-Rumeileh S, Thebault S, Abdelhak A, Green A, Benkert P, Kappos L, Comabella M, Tumani H, Freedman MS, Petzold A, Blennow K, Zetterberg H, Leppert D, Kuhle J. Neurofilaments as biomarkers in neurological disorders - towards clinical application. Nat Rev Neurol 2024; 20:269-287. [PMID: 38609644 DOI: 10.1038/s41582-024-00955-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/15/2024] [Indexed: 04/14/2024]
Abstract
Neurofilament proteins have been validated as specific body fluid biomarkers of neuro-axonal injury. The advent of highly sensitive analytical platforms that enable reliable quantification of neurofilaments in blood samples and simplify longitudinal follow-up has paved the way for the development of neurofilaments as a biomarker in clinical practice. Potential applications include assessment of disease activity, monitoring of treatment responses, and determining prognosis in many acute and chronic neurological disorders as well as their use as an outcome measure in trials of novel therapies. Progress has now moved the measurement of neurofilaments to the doorstep of routine clinical practice for the evaluation of individuals. In this Review, we first outline current knowledge on the structure and function of neurofilaments. We then discuss analytical and statistical approaches and challenges in determining neurofilament levels in different clinical contexts and assess the implications of neurofilament light chain (NfL) levels in normal ageing and the confounding factors that need to be considered when interpreting NfL measures. In addition, we summarize the current value and potential clinical applications of neurofilaments as a biomarker of neuro-axonal damage in a range of neurological disorders, including multiple sclerosis, Alzheimer disease, frontotemporal dementia, amyotrophic lateral sclerosis, stroke and cerebrovascular disease, traumatic brain injury, and Parkinson disease. We also consider the steps needed to complete the translation of neurofilaments from the laboratory to the management of neurological diseases in clinical practice.
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Affiliation(s)
- Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria.
| | - Charlotte E Teunissen
- Neurochemistry Laboratory Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam University Medical Centers, Vrije Universiteit, Amsterdam, Netherlands
| | - Sylvain Lehmann
- LBPC-PPC, Université de Montpellier, INM INSERM, IRMB CHU de Montpellier, Montpellier, France
| | - Markus Otto
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, TU Dresden, Dresden, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), and Immunotherapy (FZI), Rhine-Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Maria Pia Sormani
- Department of Health Sciences, University of Genova, Genova, Italy
- IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Thomas Gattringer
- Department of Neurology, Medical University of Graz, Graz, Austria
- Division of Neuroradiology, Vascular and Interventional Radiology, Department of Radiology, Medical University of Graz, Graz, Austria
| | - Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University Halle-Wittenberg, Halle (Saale), Germany
| | - Simon Thebault
- Multiple Sclerosis Division, Department of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Ari Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA
| | - Pascal Benkert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ludwig Kappos
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuel Comabella
- Neurology Department, Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Hayrettin Tumani
- Department of Neurology, CSF Laboratory, Ulm University Hospital, Ulm, Germany
| | - Mark S Freedman
- Department of Medicine, University of Ottawa, The Ottawa Hospital Research Institute, Ottawa, Ontario, Canada
| | - Axel Petzold
- Amsterdam UMC, Vrije Universiteit Amsterdam, Department of Neurology, MS Centre and Neuro-ophthalmology Expertise Centre Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
- Moorfields Eye Hospital, The National Hospital for Neurology and Neurosurgery and the Queen Square Institute of Neurology, UCL, London, UK
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, and Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, P. R. China
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland.
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland.
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28
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Nisha Aji K, Cisbani G, Weidenauer A, Koppel A, Hafizi S, Da Silva T, Kiang M, Rusjan PM, Bazinet RP, Mizrahi R. Neurofilament light-chain (NfL) and 18 kDa translocator protein in early psychosis and its putative high-risk. Brain Behav Immun Health 2024; 37:100742. [PMID: 38495956 PMCID: PMC10940889 DOI: 10.1016/j.bbih.2024.100742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 12/27/2023] [Accepted: 02/15/2024] [Indexed: 03/19/2024] Open
Abstract
Evidence of elevated peripheral Neurofilament light-chain (NfL) as a biomarker of neuronal injury can be utilized to reveal nonspecific axonal damage, which could reflect altered neuroimmune function. To date, only a few studies have investigated NfL as a fluid biomarker in schizophrenia primarily, though none in its putative prodrome (Clinical High-Risk, CHR) or in untreated first-episode psychosis (FEP). Further, it is unknown whether peripheral NfL is associated with 18 kDa translocator protein (TSPO), a validated neuroimmune marker. In this secondary study, we investigated for the first time (1) serum NfL in early stages of psychosis including CHR and FEP as compared to healthy controls, and (2) examined its association with brain TSPO, using [18F]FEPPA positron emission tomography (PET). Further, in the exploratory analyses, we aimed to assess associations between serum NfL and symptom severity in patient group and cognitive impairment in the combined cohort. A large cohort of 84 participants including 27 FEP (24 antipsychotic-naive), 41 CHR (34 antipsychotic-naive) and 16 healthy controls underwent structural brain MRI and [18F]FEPPA PET scan and their blood samples were obtained and assessed for serum NfL concentrations. We found no significant differences in serum NfL levels across clinical groups, controlling for age. We also found no significant association between NfL levels and brain TSPO in the entire cohort. We observed a negative association between serum NfL and negative symptom severity in CHR. Our findings suggest that neither active neuroaxonal deterioration as measured with NfL nor associated neuroimmune activation (TSPO) is clearly identifiable in an early mostly untreated psychosis sample including its putative high-risk.
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Affiliation(s)
- Kankana Nisha Aji
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- Douglas Research Centre, Clinical and Translational Sciences Lab, Montreal, Quebec, Canada
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Giulia Cisbani
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Ana Weidenauer
- Division of General Psychiatry, Department of Psychiatry and Psychotherapy, Medical University of Vienna, Vienna, Austria
- Comprehensive Center for Clinical Neurosciences and Mental Health, Medical University of Vienna, Vienna, Austria
| | - Alex Koppel
- Department of Pharmacology & Toxicology, University of Toronto, Toronto, Ontario, Canada
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Sina Hafizi
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Tania Da Silva
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
| | - Michael Kiang
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada
| | - Pablo M. Rusjan
- Douglas Research Centre, Clinical and Translational Sciences Lab, Montreal, Quebec, Canada
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Richard P. Bazinet
- Department of Nutritional Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Romina Mizrahi
- Douglas Research Centre, Clinical and Translational Sciences Lab, Montreal, Quebec, Canada
- Research Imaging Centre, Centre for Addiction and Mental Health, Toronto, Ontario, Canada
- Department of Psychiatry, McGill University, Montreal, Quebec, Canada
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29
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Zapata-Acevedo JF, Mantilla-Galindo A, Vargas-Sánchez K, González-Reyes RE. Blood-brain barrier biomarkers. Adv Clin Chem 2024; 121:1-88. [PMID: 38797540 DOI: 10.1016/bs.acc.2024.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
The blood-brain barrier (BBB) is a dynamic interface that regulates the exchange of molecules and cells between the brain parenchyma and the peripheral blood. The BBB is mainly composed of endothelial cells, astrocytes and pericytes. The integrity of this structure is essential for maintaining brain and spinal cord homeostasis and protection from injury or disease. However, in various neurological disorders, such as traumatic brain injury, Alzheimer's disease, and multiple sclerosis, the BBB can become compromised thus allowing passage of molecules and cells in and out of the central nervous system parenchyma. These agents, however, can serve as biomarkers of BBB permeability and neuronal damage, and provide valuable information for diagnosis, prognosis and treatment. Herein, we provide an overview of the BBB and changes due to aging, and summarize current knowledge on biomarkers of BBB disruption and neurodegeneration, including permeability, cellular, molecular and imaging biomarkers. We also discuss the challenges and opportunities for developing a biomarker toolkit that can reliably assess the BBB in physiologic and pathophysiologic states.
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Affiliation(s)
- Juan F Zapata-Acevedo
- Grupo de Investigación en Neurociencias, Centro de Neurociencia Neurovitae-UR, Instituto de Medicina Traslacional, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia
| | - Alejandra Mantilla-Galindo
- Grupo de Investigación en Neurociencias, Centro de Neurociencia Neurovitae-UR, Instituto de Medicina Traslacional, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia
| | - Karina Vargas-Sánchez
- Laboratorio de Neurofisiología Celular, Grupo de Neurociencia Traslacional, Facultad de Medicina, Universidad de los Andes, Bogotá, Colombia
| | - Rodrigo E González-Reyes
- Grupo de Investigación en Neurociencias, Centro de Neurociencia Neurovitae-UR, Instituto de Medicina Traslacional, Escuela de Medicina y Ciencias de la Salud, Universidad del Rosario, Bogotá, Colombia.
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30
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Leckey CA, Coulton JB, Giovannucci TA, He Y, Aslanyan A, Laban R, Heslegrave A, Doykov I, Ammoscato F, Chataway J, De Angelis F, Gnanapavan S, Byrne LM, Schott JM, Wild EJ, Barthelémy NR, Zetterberg H, Wray S, Bateman RJ, Mills K, Paterson RW. CSF neurofilament light chain profiling and quantitation in neurological diseases. Brain Commun 2024; 6:fcae132. [PMID: 38707707 PMCID: PMC11069115 DOI: 10.1093/braincomms/fcae132] [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: 11/06/2023] [Revised: 04/02/2024] [Accepted: 04/12/2024] [Indexed: 05/07/2024] Open
Abstract
Neurofilament light chain is an established marker of neuroaxonal injury that is elevated in CSF and blood across various neurological diseases. It is increasingly used in clinical practice to aid diagnosis and monitor progression and as an outcome measure to assess safety and efficacy of disease-modifying therapies across the clinical translational neuroscience field. Quantitative methods for neurofilament light chain in human biofluids have relied on immunoassays, which have limited capacity to describe the structure of the protein in CSF and how this might vary in different neurodegenerative diseases. In this study, we characterized and quantified neurofilament light chain species in CSF across neurodegenerative and neuroinflammatory diseases and healthy controls using targeted mass spectrometry. We show that the quantitative immunoprecipitation-tandem mass spectrometry method developed in this study strongly correlates to single-molecule array measurements in CSF across the broad spectrum of neurodegenerative diseases and was replicable across mass spectrometry methods and centres. In summary, we have created an accurate and cost-effective assay for measuring a key biomarker in translational neuroscience research and clinical practice, which can be easily multiplexed and translated into clinical laboratories for the screening and monitoring of neurodegenerative disease or acute brain injury.
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Affiliation(s)
- Claire A Leckey
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- Translational Mass Spectrometry Research Group, UCL Great Ormond Street Hospital Institute of Child Health, University College London, London, WC1N 1EH, UK
- UK Dementia Research Institute at UCL, University College London, London, WC1E 6BT, UK
| | - John B Coulton
- Department of Neurology, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
- Tracy Family SILQ Center, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
| | - Tatiana A Giovannucci
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, University College London, London, WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Yingxin He
- Department of Neurology, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
- Tracy Family SILQ Center, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
| | - Aram Aslanyan
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Rhiannon Laban
- UK Dementia Research Institute at UCL, University College London, London, WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Amanda Heslegrave
- UK Dementia Research Institute at UCL, University College London, London, WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Ivan Doykov
- Translational Mass Spectrometry Research Group, UCL Great Ormond Street Hospital Institute of Child Health, University College London, London, WC1N 1EH, UK
| | - Francesca Ammoscato
- Barts and the London School of Medicine and Dentistry, Queen Mary University of London, Blizard Institute, Centre for Neuroscience, London, E1 2AT, UK
| | - Jeremy Chataway
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1B 5EH, UK
- National Institute for Health and Care Research, University College London Hospitals, Biomedical Research Centre, London, W1T 7DN, UK
| | - Floriana De Angelis
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1B 5EH, UK
- National Institute for Health and Care Research, University College London Hospitals, Biomedical Research Centre, London, W1T 7DN, UK
| | | | - Lauren M Byrne
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Jonathan M Schott
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Edward J Wild
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Nicolas R Barthelémy
- Department of Neurology, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
- Tracy Family SILQ Center, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
| | - Henrik Zetterberg
- UK Dementia Research Institute at UCL, University College London, London, WC1E 6BT, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, 43180, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, 43180, Sweden
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI53792, USA
| | - Selina Wray
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
| | - Randall J Bateman
- Department of Neurology, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
- Tracy Family SILQ Center, Washington University School of Medicine, Washington University in St Louis, St Louis, MO 63110, USA
| | - Kevin Mills
- Translational Mass Spectrometry Research Group, UCL Great Ormond Street Hospital Institute of Child Health, University College London, London, WC1N 1EH, UK
| | - Ross W Paterson
- Dementia Research Centre, UCL Queen Square Institute of Neurology, University College London, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, University College London, London, WC1E 6BT, UK
- Department of Neurology, Darent Valley Hospital, Dartford, Kent, DA2 8DA, UK
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31
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Shahim P, Norato G, Sinaii N, Zetterberg H, Blennow K, Chan L, Grunseich C. Neurofilaments in Sporadic and Familial Amyotrophic Lateral Sclerosis: A Systematic Review and Meta-Analysis. Genes (Basel) 2024; 15:496. [PMID: 38674431 PMCID: PMC11050235 DOI: 10.3390/genes15040496] [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: 03/03/2024] [Revised: 03/30/2024] [Accepted: 04/02/2024] [Indexed: 04/28/2024] Open
Abstract
BACKGROUND Neurofilament proteins have been implicated to be altered in amyotrophic lateral sclerosis (ALS). The objectives of this study were to assess the diagnostic and prognostic utility of neurofilaments in ALS. METHODS Studies were conducted in electronic databases (PubMed/MEDLINE, Embase, Web of Science, and Cochrane CENTRAL) from inception to 17 August 2023, and investigated neurofilament light (NfL) or phosphorylated neurofilament heavy chain (pNfH) in ALS. The study design, enrolment criteria, neurofilament concentrations, test accuracy, relationship between neurofilaments in cerebrospinal fluid (CSF) and blood, and clinical outcome were recorded. The protocol was registered with PROSPERO, CRD42022376939. RESULTS Sixty studies with 8801 participants were included. Both NfL and pNfH measured in CSF showed high sensitivity and specificity in distinguishing ALS from disease mimics. Both NfL and pNfH measured in CSF correlated with their corresponding levels in blood (plasma or serum); however, there were stronger correlations between CSF NfL and blood NfL. NfL measured in blood exhibited high sensitivity and specificity in distinguishing ALS from controls. Both higher levels of NfL and pNfH either measured in blood or CSF were correlated with more severe symptoms as assessed by the ALS Functional Rating Scale Revised score and with a faster disease progression rate; however, only blood NfL levels were associated with shorter survival. DISCUSSION Both NfL and pNfH measured in CSF or blood show high diagnostic utility and association with ALS functional scores and disease progression, while CSF NfL correlates strongly with blood (either plasma or serum) and is also associated with survival, supporting its use in clinical diagnostics and prognosis. Future work must be conducted in a prospective manner with standardized bio-specimen collection methods and analytical platforms, further improvement in immunoassays for quantification of pNfH in blood, and the identification of cut-offs across the ALS spectrum and controls.
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Affiliation(s)
- Pashtun Shahim
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, MD 20892, USA;
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; (G.N.); (C.G.)
- Department of Neurology, MedStar Georgetown University Hospital, Washington, DC 20007, USA
- The Military Traumatic Brain Injury Initiative (MTBI2), Bethesda, MD 20814, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Gina Norato
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; (G.N.); (C.G.)
| | - Ninet Sinaii
- Biostatistics and Clinical Epidemiology Service, NIH, Bethesda, MD 20892, USA;
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 41 Molndal, Sweden; (H.Z.); (K.B.)
- Clinical Neurochemistry Laboratory, Sahglrenska University Hospital, 431 41 Molndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London WC1E 6BT, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong 518172, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy, University of Gothenburg, 431 41 Molndal, Sweden; (H.Z.); (K.B.)
- Clinical Neurochemistry Laboratory, Sahglrenska University Hospital, 431 41 Molndal, Sweden
| | - Leighton Chan
- Rehabilitation Medicine Department, National Institutes of Health (NIH) Clinical Center, Bethesda, MD 20892, USA;
| | - Christopher Grunseich
- National Institutes of Neurological Disorders and Stroke, NIH, Bethesda, MD 20892, USA; (G.N.); (C.G.)
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Gelyana E, Khamishon R, Bang J. Continuing the search for fluid biomarkers to enhance Huntington's disease staging and therapeutic response. J Neurol Sci 2024; 459:122980. [PMID: 38594137 DOI: 10.1016/j.jns.2024.122980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Accepted: 03/25/2024] [Indexed: 04/11/2024]
Affiliation(s)
- Eilrayna Gelyana
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Rebecca Khamishon
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Jee Bang
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA.
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Wang S, Xie S, Zheng Q, Zhang Z, Wang T, Zhang G. Biofluid biomarkers for Alzheimer's disease. Front Aging Neurosci 2024; 16:1380237. [PMID: 38659704 PMCID: PMC11039951 DOI: 10.3389/fnagi.2024.1380237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Accepted: 03/27/2024] [Indexed: 04/26/2024] Open
Abstract
Alzheimer's disease (AD) is a multifactorial neurodegenerative disease, with a complex pathogenesis and an irreversible course. Therefore, the early diagnosis of AD is particularly important for the intervention, prevention, and treatment of the disease. Based on the different pathophysiological mechanisms of AD, the research progress of biofluid biomarkers are classified and reviewed. In the end, the challenges and perspectives of future research are proposed.
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Affiliation(s)
- Sensen Wang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Sitan Xie
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Qinpin Zheng
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Zhihui Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
| | - Tian Wang
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
| | - Guirong Zhang
- Shandong Yinfeng Academy of Life Science, Jinan, Shandong, China
- School of Pharmacy, Key Laboratory of Molecular Pharmacology and Drug Evaluation, Ministry of Education, Collaborative Innovation Center of Advanced Drug Delivery System and Biotech Drugs in Universities of Shandong, Yantai University, Yantai, Shandong, China
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Arroyo Pereiro P, Muñoz-Vendrell A, León Moreno I, Bau L, Matas E, Romero-Pinel L, Martínez Yélamos A, Martínez Yélamos S, Andrés-Benito P. Baseline serum neurofilament light chain levels differentiate aggressive from benign forms of relapsing-remitting multiple sclerosis: a 20-year follow-up cohort. J Neurol 2024; 271:1599-1609. [PMID: 38085343 PMCID: PMC10973070 DOI: 10.1007/s00415-023-12135-w] [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: 10/08/2023] [Revised: 11/21/2023] [Accepted: 11/22/2023] [Indexed: 03/28/2024]
Abstract
BACKGROUND AND OBJECTIVES Serum biomarkers are emerging as useful prognostic tools for multiple sclerosis (MS); however, long-term studies are lacking. We aimed to evaluate the long-term prognostic value of the serum levels of neurofilament light chain (NfL), total tau, glial fibrillary acidic protein (GFAP), and chitinase 3-like-1 (CHI3L1) measured close to the time of MS onset. METHODS In this retrospective, exploratory, observational, case and controls study, patients with relapsing-remitting MS (RRMS) with available baseline serum samples and prospectively follow-up in our MS unit for a long time were selected based on their clinical evolution to form two groups: (1) a benign RRMS (bRRMS) group, defined as patients with an Expanded Disability Status Scale (EDSS) score of ≤ 3 at ≥ 10 years of follow-up; (2) an aggressive RRMS (aRRMS) group, defined as patients with an EDSS score of ≥ 6 at ≤ 15 years of follow-up. An age-matched healthy control (HC) group was selected. NfL, total tau, and GFAP serum levels were quantified using a single-molecule array (SIMOA), and CHI3L1 was quantified using ELISA. RESULTS Thirty-one patients with bRRMS, 19 with aRRMS, and 10 HC were included. The median follow-up time from sample collection was 17.74 years (interquartile range, 14.60-20.37). Bivariate and multivariate analyses revealed significantly higher NfL and GFAP levels in the aRRMS group than in the bRRMS group. A receiver operating characteristic curve analysis identified serum NfL level as the most efficient marker for distinguishing aRRMS from bRRMS. DISCUSSION This proof-of-concept study comparing benign and aggressive RRMS groups reinforces the potential role of baseline NfL serum levels as a promising long-term disability prognostic marker. In contrast, serum GFAP, total tau, and CHI3L1 levels demonstrated a lower or no ability to differentiate between the long-term outcomes of RRMS.
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Affiliation(s)
- Pablo Arroyo Pereiro
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Albert Muñoz-Vendrell
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Isabel León Moreno
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Laura Bau
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Elisabet Matas
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Lucía Romero-Pinel
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
| | - Antonio Martínez Yélamos
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Departament de Ciències Clíniques, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
| | - Sergio Martínez Yélamos
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain
- Departament de Ciències Clíniques, Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain
| | - Pol Andrés-Benito
- Neurologic Diseases and Neurogenetics Group, Institute of Biomedical Research (IDIBELL), Avinguda de la Gran Via de L'Hospitalet, 199, L'Hospitalet de Llobregat, 08907, Barcelona, Spain.
- Multiple Sclerosis Unit, Department of Neurology, Bellvitge University Hospital, L'Hospitalet de Llobregat, 08907, Barcelona, Spain.
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Bauer A, Hegen H, Reindl M. Body fluid markers for multiple sclerosis and differential diagnosis from atypical demyelinating disorders. Expert Rev Mol Diagn 2024; 24:283-297. [PMID: 38533708 DOI: 10.1080/14737159.2024.2334849] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 03/21/2024] [Indexed: 03/28/2024]
Abstract
INTRODUCTION Body fluid markers could be helpful to predict the conversion into clinically definite multiple sclerosis (MS) in people with a first demyelinating event of the central nervous system (CNS). Consequently, biomarkers such as oligoclonal bands, which are integrated in the current MS diagnostic criteria, could assist early MS diagnosis. AREAS COVERED This review examines existing knowledge on a broad spectrum of body fluid markers in people with a first CNS demyelinating event, explores their potential to predict conversion to MS, to assess MS disease activity, as well as their utility to differentiate MS from atypical demyelinating disorders such as neuromyelitis optica spectrum disorder and myelin oligodendrocyte glycoprotein associated disease. EXPERT OPINION This field of research has shown a dramatic increase of evidence, especially in the last decade. Some biomarkers are already established in clinical routine (e.g. oligoclonal bands) while others are currently implemented (e.g. kappa free light chains) or considered as breakthroughs (e.g. neurofilament light). Determination of biomarkers poses challenges for continuous monitoring, especially if exclusively detectable in cerebrospinal fluid. A handful of biomarkers are measurable in blood which holds a significant potential.
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Affiliation(s)
- Angelika Bauer
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
- Institute of Hygiene and Medical Microbiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Harald Hegen
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
| | - Markus Reindl
- Clinical Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria
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Abdul‐Rahman T, Herrera‐Calderón RE, Ahluwalia A, Wireko AA, Ferreira T, Tan JK, Wolfson M, Ghosh S, Horbas V, Garg V, Perveen A, Papadakis M, Ashraf GM, Alexiou A. The potential of phosphorylated α-synuclein as a biomarker for the diagnosis and monitoring of multiple system atrophy. CNS Neurosci Ther 2024; 30:e14678. [PMID: 38572788 PMCID: PMC10993367 DOI: 10.1111/cns.14678] [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: 09/01/2023] [Revised: 02/29/2024] [Accepted: 03/03/2024] [Indexed: 04/05/2024] Open
Abstract
INTRODUCTION Multiple system atrophy (MSA) is a rapidly progressive neurodegenerative disorder characterized by the presence of glial cytoplasmic inclusions (GCIs) containing aggregated α-synuclein (α-Syn). Accurate diagnosis and monitoring of MSA present significant challenges, which can lead to potential misdiagnosis and inappropriate treatment. Biomarkers play a crucial role in improving the accuracy of MSA diagnosis, and phosphorylated α-synuclein (p-syn) has emerged as a promising biomarker for aiding in diagnosis and disease monitoring. METHODS A literature search was conducted on PubMed, Scopus, and Google Scholar using specific keywords and MeSH terms without imposing a time limit. Inclusion criteria comprised various study designs including experimental studies, case-control studies, and cohort studies published only in English, while conference abstracts and unpublished sources were excluded. RESULTS Increased levels of p-syn have been observed in various samples from MSA patients, such as red blood cells, cerebrospinal fluid, oral mucosal cells, skin, and colon biopsies, highlighting their diagnostic potential. The α-Syn RT-QuIC assay has shown sensitivity in diagnosing MSA and tracking its progression. Meta-analyses and multicenter investigations have confirmed the diagnostic value of p-syn in cerebrospinal fluid, demonstrating high specificity and sensitivity in distinguishing MSA from other neurodegenerative diseases. Moreover, combining p-syn with other biomarkers has further improved the diagnostic accuracy of MSA. CONCLUSION The p-syn stands out as a promising biomarker for MSA. It is found in oligodendrocytes and shows a correlation with disease severity and progression. However, further research and validation studies are necessary to establish p-syn as a reliable biomarker for MSA. If proven, p-syn could significantly contribute to early diagnosis, disease monitoring, and assessing treatment response.
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Affiliation(s)
| | | | | | | | - Tomas Ferreira
- Department of Clinical Neurosciences, School of Clinical MedicineUniversity of CambridgeCambridgeUK
| | | | | | - Shankhaneel Ghosh
- Institute of Medical Sciences and SUM Hospital, Siksha 'O' AnusandhanBhubaneswarIndia
| | | | - Vandana Garg
- Department of Pharmaceutical SciencesMaharshi Dayanand UniversityRohtakHaryanaIndia
| | - Asma Perveen
- Glocal School of Life SciencesGlocal UniversitySaharanpurUttar PradeshIndia
- Princess Dr. Najla Bint Saud Al‐Saud Center for Excellence Research in BiotechnologyKing Abdulaziz UniversityJeddahSaudi Arabia
| | - Marios Papadakis
- Department of Surgery II, University Hospital Witten‐HerdeckeUniversity of Witten‐HerdeckeWuppertalGermany
| | - Ghulam Md Ashraf
- Department of Medical Laboratory SciencesUniversity of Sharjah, College of Health Sciences, and Research Institute for Medical and Health SciencesSharjahUAE
| | - Athanasios Alexiou
- University Centre for Research & DevelopmentChandigarh UniversityMohaliPunjabIndia
- Department of Research & DevelopmentAthensGreece
- Department of Research & DevelopmentAFNP MedWienAustria
- Department of Science and EngineeringNovel Global Community Educational FoundationNew South WalesAustralia
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Colvee-Martin H, Parra JR, Gonzalez GA, Barker W, Duara R. Neuropathology, Neuroimaging, and Fluid Biomarkers in Alzheimer's Disease. Diagnostics (Basel) 2024; 14:704. [PMID: 38611617 PMCID: PMC11012058 DOI: 10.3390/diagnostics14070704] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 02/05/2024] [Accepted: 02/17/2024] [Indexed: 04/14/2024] Open
Abstract
An improved understanding of the pathobiology of Alzheimer's disease (AD) should lead ultimately to an earlier and more accurate diagnosis of AD, providing the opportunity to intervene earlier in the disease process and to improve outcomes. The known hallmarks of Alzheimer's disease include amyloid-β plaques and neurofibrillary tau tangles. It is now clear that an imbalance between production and clearance of the amyloid beta protein and related Aβ peptides, especially Aβ42, is a very early, initiating factor in Alzheimer's disease (AD) pathogenesis, leading to aggregates of hyperphosphorylation and misfolded tau protein, inflammation, and neurodegeneration. In this article, we review how the AD diagnostic process has been transformed in recent decades by our ability to measure these various elements of the pathological cascade through the use of imaging and fluid biomarkers. The more recently developed plasma biomarkers, especially phosphorylated-tau217 (p-tau217), have utility for screening and diagnosis of the earliest stages of AD. These biomarkers can also be used to measure target engagement by disease-modifying therapies and the response to treatment.
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Affiliation(s)
- Helena Colvee-Martin
- Wien Center for Alzheimer’s Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL 33140, USA; (H.C.-M.); (W.B.)
| | - Juan Rayo Parra
- Human & Molecular Genetics, Florida International University, Miami, FL 33199, USA; (J.R.P.); (G.A.G.)
| | - Gabriel Antonio Gonzalez
- Human & Molecular Genetics, Florida International University, Miami, FL 33199, USA; (J.R.P.); (G.A.G.)
| | - Warren Barker
- Wien Center for Alzheimer’s Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL 33140, USA; (H.C.-M.); (W.B.)
| | - Ranjan Duara
- Wien Center for Alzheimer’s Disease & Memory Disorders, Mount Sinai Medical Center, Miami Beach, FL 33140, USA; (H.C.-M.); (W.B.)
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Faizan M, Sachan N, Verma O, Sarkar A, Rawat N, Pratap Singh M. Cerebrospinal fluid protein biomarkers in Parkinson's disease. Clin Chim Acta 2024; 556:117848. [PMID: 38417781 DOI: 10.1016/j.cca.2024.117848] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Revised: 02/24/2024] [Accepted: 02/25/2024] [Indexed: 03/01/2024]
Abstract
Proteomic profiling is an effective way to identify biomarkers for Parkinson's disease (PD). Cerebrospinal fluid (CSF) has direct connectivity with the brain and could be a source of finding biomarkers and their clinical implications. Comparative proteomic profiling has shown that a group of differentially displayed proteins exist. The studies performed using conventional and classical tools also supported the occurrence of these proteins. Many studies have highlighted the potential of CSF proteomic profiling for biomarker identification and their clinical applications. Some of these proteins are useful for disease diagnosis and prediction. Proteomic profiling of CSF also has immense potential to distinguish PD from similar neurodegenerative disorders. A few protein biomarkers help in fundamental knowledge generation and clinical interpretation. However, the specific biomarker of PD is not yet known. The use of proteomic approaches in clinical settings is also rare. A large-scale, multi-centric, multi-population and multi-continental study using multiple proteomic tools is warranted. Such a study can provide valuable, comprehensive and reliable information for a better understanding of PD and the development of specific biomarkers. The current article sheds light on the role of CSF proteomic profiling in identifying biomarkers of PD and their clinical implications. The article also explains the achievements, obstacles and hopes for future directions of this approach.
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Affiliation(s)
- Mohd Faizan
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Nidhi Sachan
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India
| | - Oyashvi Verma
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Alika Sarkar
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Neeraj Rawat
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India
| | - Mahendra Pratap Singh
- Systems Toxicology Group, FEST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, Uttar Pradesh, India; Capacity Building and Knowledge Services, ASSIST Division, CSIR-Indian Institute of Toxicology Research (CSIR-IITR), Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
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Vrillon A, Ashton NJ, Karikari TK, Götze K, Cognat E, Dumurgier J, Lilamand M, Zetterberg H, Blennow K, Paquet C. Comparison of CSF and plasma NfL and pNfH for Alzheimer's disease diagnosis: a memory clinic study. J Neurol 2024; 271:1297-1310. [PMID: 37950758 DOI: 10.1007/s00415-023-12066-6] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/11/2023] [Accepted: 10/13/2023] [Indexed: 11/13/2023]
Abstract
Plasma neurofilament light chain (NfL) is a promising biomarker of axonal damage for the diagnosis of neurodegenerative diseases. Phosphorylated neurofilament heavy chain (pNfH) has demonstrated its value in motor neuron diseases diagnosis, but has less been explored for dementia diagnosis. In a cross-sectional study, we compared cerebrospinal fluid (CSF) and plasma NfL and pNfH levels in n = 188 patients from Lariboisière Hospital, Paris, France, including AD patients at mild cognitive impairment stage (AD-MCI, n = 36) and dementia stage (n = 64), non-AD MCI (n = 38), non-AD dementia (n = 28) patients and control subjects (n = 22). Plasma NfL, plasma and CSF pNfH levels were measured using Simoa and CSF NfL using ELISA. The correlation between CSF and plasma levels was stronger for NfL than pNfH (rho = 0.77 and rho = 0.52, respectively). All neurofilament markers were increased in AD-MCI, AD dementia and non-AD dementia groups compared with controls. CSF NfL, CSF pNfH and plasma NfL showed high performance to discriminate AD at both MCI and dementia stages from control subjects [AUC (area under the curve) = 0.82-0.91]. Plasma pNfH displayed overall lower AUCs for discrimination between groups compared with CSF pNfH. Neurofilament markers showed similar moderate association with cognition. NfL levels displayed significant association with mediotemporal lobe atrophy and white matter lesions in the AD group. Our results suggest that CSF NfL and pNfH as well as plasma NfL levels display equivalent performance in both positive and differential AD diagnosis in memory clinic settings. In contrast to motoneuron disorders, plasma pNfH did not demonstrate added value as compared with plasma NfL.
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Affiliation(s)
- Agathe Vrillon
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France.
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France.
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Maurice Wohl Institute Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation, London, UK
- Centre for Age-Related Medicine, Stavanger University Hospital, Stavanger, Norway
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Karl Götze
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Emmanuel Cognat
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
| | - Julien Dumurgier
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Matthieu Lilamand
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Maurice Wohl Institute Clinical Neuroscience Institute, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Claire Paquet
- Cognitive Neurology Center, Lariboisière Fernand Widal Hospital, Assistance Publique Hôpitaux de Paris, Université Paris Cité, Paris, France
- INSERM U1144, Therapeutic Optimization in Neuropsychopharmacology, Paris, France
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Freedman MS, Gnanapavan S, Booth RA, Calabresi PA, Khalil M, Kuhle J, Lycke J, Olsson T. Guidance for use of neurofilament light chain as a cerebrospinal fluid and blood biomarker in multiple sclerosis management. EBioMedicine 2024; 101:104970. [PMID: 38354532 PMCID: PMC10875256 DOI: 10.1016/j.ebiom.2024.104970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 12/20/2023] [Accepted: 01/03/2024] [Indexed: 02/16/2024] Open
Abstract
Neurofilament light chain (NfL) is a long-awaited blood biomarker that can provide clinically useful information about prognosis and therapeutic efficacy in multiple sclerosis (MS). There is now substantial evidence for this biomarker to be used alongside magnetic resonance imaging (MRI) and clinical measures of disease progression as a decision-making tool for the management of patients with MS. Serum NfL (sNfL) has certain advantages over traditional measures of MS disease progression such as MRI because it is relatively noninvasive, inexpensive, and can be repeated frequently to monitor activity and treatment efficacy. sNfL levels can be monitored regularly in patients with MS to determine change from baseline and predict subclinical disease activity, relapse risk, and the development of gadolinium-enhancing (Gd+) lesions. sNfL does not replace MRI, which provides information related to spatial localisation and lesion stage. Laboratory platforms are starting to be made available for clinical application of sNfL in several countries. Further work is needed to resolve issues around comparisons across testing platforms (absolute values) and normalisation (reference ranges) in order to guide interpretation of the results.
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Affiliation(s)
- Mark S Freedman
- Department of Medicine (Neurology), University of Ottawa, and the Ottawa Hospital Research Institute, Ontario, Canada.
| | | | - Ronald A Booth
- Department of Pathology and Laboratory Medicine, University of Ottawa, The Ottawa Hospital & Eastern Ontario Regional Laboratory Association, Ontario, Canada
| | - Peter A Calabresi
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Jens Kuhle
- Multiple Sclerosis Centre, Neurology, Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel, Switzerland
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, Gothenburg University, Gothenburg, Sweden
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institute, Solna, Sweden
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Stephen CD, Vangel M, Gupta AS, MacMore JP, Schmahmann JD. Rates of change of pons and middle cerebellar peduncle diameters are diagnostic of multiple system atrophy of the cerebellar type. Brain Commun 2024; 6:fcae019. [PMID: 38410617 PMCID: PMC10896291 DOI: 10.1093/braincomms/fcae019] [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: 11/27/2022] [Revised: 12/01/2023] [Accepted: 02/19/2024] [Indexed: 02/28/2024] Open
Abstract
Definitive diagnosis of multiple system atrophy of the cerebellar type (MSA-C) is challenging. We hypothesized that rates of change of pons and middle cerebellar peduncle diameters on MRI would be unique to MSA-C and serve as diagnostic biomarkers. We defined the normative data for anterior-posterior pons and transverse middle cerebellar peduncle diameters on brain MRI in healthy controls, performed diameter-volume correlations and measured intra- and inter-rater reliability. We studied an Exploratory cohort (2002-2014) of 88 MSA-C and 78 other cerebellar ataxia patients, and a Validation cohort (2015-2021) of 49 MSA-C, 13 multiple system atrophy of the parkinsonian type (MSA-P), 99 other cerebellar ataxia patients and 314 non-ataxia patients. We measured anterior-posterior pons and middle cerebellar peduncle diameters on baseline and subsequent MRIs, and correlated results with Brief Ataxia Rating Scale scores. We assessed midbrain:pons and middle cerebellar peduncle:pons ratios over time. The normative anterior-posterior pons diameter was 23.6 ± 1.6 mm, and middle cerebellar peduncle diameter 16.4 ± 1.4 mm. Pons diameter correlated with volume, r = 0.94, P < 0.0001. The anterior-posterior pons and middle cerebellar peduncle measures were smaller at first scan in MSA-C compared to all other ataxias; anterior-posterior pons diameter: Exploratory, 19.3 ± 2.6 mm versus 20.7 ± 2.6 mm, Validation, 19.9 ± 2.1 mm versus 21.1 ± 2.1 mm; middle cerebellar peduncle transverse diameter, Exploratory, 12.0 ± 2.6 mm versus 14.3 ±2.1 mm, Validation, 13.6 ± 2.1 mm versus 15.1 ± 1.8 mm, all P < 0.001. The anterior-posterior pons and middle cerebellar peduncle rates of change were faster in MSA-C than in all other ataxias; anterior-posterior pons diameter rates of change: Exploratory, -0.87 ± 0.04 mm/year versus -0.09 ± 0.02 mm/year, Validation, -0.89 ± 0.48 mm/year versus -0.10 ± 0.21 mm/year; middle cerebellar peduncle transverse diameter rates of change: Exploratory, -0.84 ± 0.05 mm/year versus -0.08 ± 0.02 mm/year, Validation, -0.94 ± 0.64 mm/year versus -0.11 ± 0.27 mm/year, all values P < 0.0001. Anterior-posterior pons and middle cerebellar peduncle diameters were indistinguishable between Possible, Probable and Definite MSA-C. The rate of anterior-posterior pons atrophy was linear, correlating with ataxia severity. Using a lower threshold anterior-posterior pons diameter decrease of -0.4 mm/year to balance sensitivity and specificity, area under the curve analysis discriminating MSA-C from other ataxias was 0.94, yielding sensitivity 0.92 and specificity 0.87. For the middle cerebellar peduncle, with threshold decline -0.5 mm/year, area under the curve was 0.90 yielding sensitivity 0.85 and specificity 0.79. The midbrain:pons ratio increased progressively in MSA-C, whereas the middle cerebellar peduncle:pons ratio was almost unchanged. Anterior-posterior pons and middle cerebellar peduncle diameters were smaller in MSA-C than in MSA-P, P < 0.001. We conclude from this 20-year longitudinal clinical and imaging study that anterior-posterior pons and middle cerebellar peduncle diameters are phenotypic imaging biomarkers of MSA-C. In the correct clinical context, an anterior-posterior pons and transverse middle cerebellar peduncle diameter decline of ∼0.8 mm/year is sufficient for and diagnostic of MSA-C.
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Affiliation(s)
- Christopher D Stephen
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Mark Vangel
- Biostatistics Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02129, USA
| | - Anoopum S Gupta
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jason P MacMore
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Jeremy D Schmahmann
- Ataxia Center, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Cognitive Behavioral Neurology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
- Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
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van Amerongen S, Pulukuri SV, Tuz-Zahra F, Tripodis Y, Cherry JD, Bernick C, Geda YE, Wethe JV, Katz DI, Alosco ML, Adler CH, Balcer LJ, Ashton NJ, Blennow K, Zetterberg H, Daneshvar DH, Colasurdo EA, Iliff JJ, Li G, Peskind ER, Shenton ME, Reiman EM, Cummings JL, Stern RA. Inflammatory biomarkers for neurobehavioral dysregulation in former American football players: findings from the DIAGNOSE CTE Research Project. J Neuroinflammation 2024; 21:46. [PMID: 38336728 PMCID: PMC10854026 DOI: 10.1186/s12974-024-03034-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Accepted: 01/30/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND Traumatic encephalopathy syndrome (TES) is defined as the clinical manifestation of the neuropathological entity chronic traumatic encephalopathy (CTE). A core feature of TES is neurobehavioral dysregulation (NBD), a neuropsychiatric syndrome in repetitive head impact (RHI)-exposed individuals, characterized by a poor regulation of emotions/behavior. To discover biological correlates for NBD, we investigated the association between biomarkers of inflammation (interleukin (IL)-1β, IL-6, IL-8, IL-10, C-reactive protein (CRP), tumor necrosis factor (TNF)-α) in cerebrospinal fluid (CSF) and NBD symptoms in former American football players and unexposed individuals. METHODS Our cohort consisted of former American football players, with (n = 104) or without (n = 76) NBD diagnosis, as well as asymptomatic unexposed individuals (n = 55) from the DIAGNOSE CTE Research Project. Specific measures for NBD were derived (i.e., explosivity, emotional dyscontrol, impulsivity, affective lability, and a total NBD score) from a factor analysis of multiple self-report neuropsychiatric measures. Analyses of covariance tested differences in biomarker concentrations between the three groups. Within former football players, multivariable linear regression models assessed relationships among log-transformed inflammatory biomarkers, proxies for RHI exposure (total years of football, cumulative head impact index), and NBD factor scores, adjusted for relevant confounding variables. Sensitivity analyses tested (1) differences in age subgroups (< 60, ≥ 60 years); (2) whether associations could be identified with plasma inflammatory biomarkers; (3) associations between neurodegeneration and NBD, using plasma neurofilament light (NfL) chain protein; and (4) associations between biomarkers and cognitive performance to explore broader clinical symptoms related to TES. RESULTS CSF IL-6 was higher in former American football players with NBD diagnosis compared to players without NBD. Furthermore, elevated levels of CSF IL-6 were significantly associated with higher emotional dyscontrol, affective lability, impulsivity, and total NBD scores. In older football players, plasma NfL was associated with higher emotional dyscontrol and impulsivity, but also with worse executive function and processing speed. Proxies for RHI exposure were not significantly associated with biomarker concentrations. CONCLUSION Specific NBD symptoms in former American football players may result from multiple factors, including neuroinflammation and neurodegeneration. Future studies need to unravel the exact link between NBD and RHI exposure, including the role of other pathophysiological pathways.
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Affiliation(s)
- Suzan van Amerongen
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Alzheimer Center Amsterdam, Neurology, Vrije Universiteit Amsterdam, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
- Amsterdam Neuroscience, Neurodegeneration, Amsterdam, The Netherlands
| | - Surya V Pulukuri
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Fatima Tuz-Zahra
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Yorghos Tripodis
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Jonathan D Cherry
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- VA Boston Healthcare System, U.S. Department of Veteran Affairs, Boston, MA, USA
- Department of Veterans Affairs Medical Center, Bedford, MA, USA
- Department of Pathology and Laboratory Medicine, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Charles Bernick
- Cleveland Clinic Lou Ruvo Center for Brain Health, Las Vegas, NV, USA
| | - Yonas E Geda
- Department of Neurology and the Franke Global Neuroscience Education Center, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Jennifer V Wethe
- Department of Psychiatry and Psychology, Mayo Clinic School of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Douglas I Katz
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Brain Injury Program, Encompass Health Braintree Rehabilitation Hospital, Braintree, MA, USA
| | - Michael L Alosco
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
| | - Charles H Adler
- Department of Neurology, Mayo Clinic College of Medicine, Mayo Clinic Arizona, Scottsdale, AZ, USA
| | - Laura J Balcer
- Departments of Neurology, Population Health and Ophthalmology, NYU Grossman School of Medicine, New York, NY, USA
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Institute of Psychiatry, Psychology and Neuroscience, King's College London, Maurice Wohl Institute Clinical Neuroscience Institute, London, UK
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, 53792, USA
| | - Daniel H Daneshvar
- Department of Physical Medicine and Rehabilitation, Harvard Medical School, Boston, MA, USA
| | - Elizabeth A Colasurdo
- Veterans Affairs Northwest Mental Illness Research, Education, and Clinical Center, Seattle, WA, USA
| | - Jeffrey J Iliff
- Veterans Affairs Northwest Mental Illness Research, Education, and Clinical Center, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Gail Li
- Veterans Affairs Northwest Mental Illness Research, Education, and Clinical Center, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
- Education, and Clinical Center, Veterans Affairs Puget Sound Health Care System Geriatric Research, Seattle, WA, USA
| | - Elaine R Peskind
- Veterans Affairs Northwest Mental Illness Research, Education, and Clinical Center, Seattle, WA, USA
- Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA
| | - Martha E Shenton
- Psychiatry Neuroimaging Laboratory, Harvard Medical School, Departments of Psychiatry and Radiology, Brigham and Women's Hospital, Boston, MA, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, University of Arizona, Arizona State University, Translational Genomics Research Institute, and Arizona Alzheimer's Consortium, Phoenix, AZ, USA
| | - Jeffrey L Cummings
- Chambers-Grundy Center for Transformative Neuroscience, Department of Brain Health, School of Integrated Health Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
| | - Robert A Stern
- Boston University CTE Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
- Boston University Alzheimer's Disease Research Center, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
- Department of Neurology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
- Departments of Neurosurgery, and Anatomy and Neurobiology, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
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Liu N, Liang X, Chen Y, Xie L. Recent trends in treatment strategies for Alzheimer 's disease and the challenges: A topical advancement. Ageing Res Rev 2024; 94:102199. [PMID: 38232903 DOI: 10.1016/j.arr.2024.102199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 01/12/2024] [Indexed: 01/19/2024]
Abstract
Alzheimer's Disease (AD) is an irreversible and progressive neurological disease that has affected at least 50 million people around the globe. Considering the severity of the disease and the continuous increase in the number of patients, the development of new effective drugs or intervention strategies for AD has become urgent. AD is caused by a combination of genetic, environmental, and lifestyle factors, but its exact cause has not yet been clarified. Given the current challenges being faced in the clinical treatment of AD, such as complex AD pathological network and insufficient early diagnosis, herein, we have focused on the three core pathological features of AD, including amyloid-β (Aβ) aggregation, tau phosphorylation and tangles, and activation of inflammatory factors. In this review, we have briefly underscored the primary evidence supporting each pathology and discuss AD pathological network among Aβ, tau, and inflammation. We have also comprehensively summarized the most instructive drugs and their treatment strategies against Aβ, tau, or neuroinflammation used in basic research and clinical trials. Finally, we have discussed and outlined the pros and cons of each pathological approach and looked forward to potential personalized diagnosis and treatment strategies that are beneficial to AD patients.
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Affiliation(s)
- Ni Liu
- College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
| | - Xiaohan Liang
- Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan 430074, China.
| | - Yu Chen
- College of Public Health, Zhengzhou University, Zhengzhou 450000, China.
| | - Lihang Xie
- Academy of Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
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Kang MJY, Eratne D, Dobson H, Malpas CB, Keem M, Lewis C, Grewal J, Tsoukra V, Dang C, Mocellin R, Kalincik T, Santillo AF, Zetterberg H, Blennow K, Stehmann C, Varghese S, Li QX, Masters CL, Collins S, Berkovic SF, Evans A, Kelso W, Farrand S, Loi SM, Walterfang M, Velakoulis D. Cerebrospinal fluid neurofilament light predicts longitudinal diagnostic change in patients with psychiatric and neurodegenerative disorders. Acta Neuropsychiatr 2024; 36:17-28. [PMID: 37114460 DOI: 10.1017/neu.2023.25] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/29/2023]
Abstract
OBJECTIVE People with neuropsychiatric symptoms often experience delay in accurate diagnosis. Although cerebrospinal fluid neurofilament light (CSF NfL) shows promise in distinguishing neurodegenerative disorders (ND) from psychiatric disorders (PSY), its accuracy in a diagnostically challenging cohort longitudinally is unknown. METHODS We collected longitudinal diagnostic information (mean = 36 months) from patients assessed at a neuropsychiatry service, categorising diagnoses as ND/mild cognitive impairment/other neurological disorders (ND/MCI/other) and PSY. We pre-specified NfL > 582 pg/mL as indicative of ND/MCI/other. RESULTS Diagnostic category changed from initial to final diagnosis for 23% (49/212) of patients. NfL predicted the final diagnostic category for 92% (22/24) of these and predicted final diagnostic category overall (ND/MCI/other vs. PSY) in 88% (187/212), compared to 77% (163/212) with clinical assessment alone. CONCLUSIONS CSF NfL improved diagnostic accuracy, with potential to have led to earlier, accurate diagnosis in a real-world setting using a pre-specified cut-off, adding weight to translation of NfL into clinical practice.
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Affiliation(s)
- Matthew J Y Kang
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, VIC, Australia
| | - Dhamidhu Eratne
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Hannah Dobson
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, VIC, Australia
| | - Charles B Malpas
- Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne School of Psychological Sciences, University of Melbourne, Parkville, VIC, Australia
| | - Michael Keem
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Courtney Lewis
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Jasleen Grewal
- Alfred Mental and Addiction Health, Alfred Health, Melbourne, VIC, Australia
| | - Vivian Tsoukra
- Department of Neurology, Evangelismos Hospital, Athens, Greece
| | - Christa Dang
- National Ageing Research Institute, University of Melbourne, Parkville, VIC, Australia
| | | | - Tomas Kalincik
- Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Alexander F Santillo
- Department of Clinical Sciences Malmö, Clinical Memory Research Unit, Lund University, Lund, Sweden
- Memory Clinic, Skåne University Hospital, Malmo, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Christiane Stehmann
- The Australian National CJD Registry, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Shiji Varghese
- National Dementia Diagnostic Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Qiao-Xin Li
- National Dementia Diagnostic Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Colin L Masters
- Florey Department of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Steven Collins
- Department of Medicine, Royal Melbourne Hospital, Parkville, VIC, Australia
- National Dementia Diagnostic Laboratory, The Florey Institute of Neuroscience and Mental Health, Melbourne, VIC, Australia
| | - Samuel F Berkovic
- Department of Medicine, Austin Health, Epilepsy Research Centre, The University of Melbourne, Heidelberg, VIC, Australia
| | - Andrew Evans
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Department of Neurology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Wendy Kelso
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Sarah Farrand
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Samantha M Loi
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
| | - Mark Walterfang
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
- The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Dennis Velakoulis
- Neuropsychiatry, Royal Melbourne Hospital, Parkville, VIC, Australia
- Melbourne Neuropsychiatry Centre & Department of Psychiatry, University of Melbourne, Parkville, VIC, Australia
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Kläppe U, Sennfält S, Lovik A, Finn A, Bofaisal U, Zetterberg H, Blennow K, Piehl F, Kmezic I, Press R, Samuelsson K, Månberg A, Fang F, Ingre C. Neurodegenerative biomarkers outperform neuroinflammatory biomarkers in amyotrophic lateral sclerosis. Amyotroph Lateral Scler Frontotemporal Degener 2024; 25:150-161. [PMID: 37789557 DOI: 10.1080/21678421.2023.2263874] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 09/20/2023] [Indexed: 10/05/2023]
Abstract
OBJECTIVE To describe the diagnostic and prognostic performance, and longitudinal trajectories, of potential biomarkers of neuroaxonal degeneration and neuroinflammation in amyotrophic lateral sclerosis (ALS). METHODS This case-control study included 192 incident ALS patients, 42 ALS mimics, 114 neurological controls, and 117 healthy controls from Stockholm, Sweden. Forty-four ALS patients provided repeated measurements. We assessed biomarkers of (1)neuroaxonal degeneration: neurofilament light (NfL) and phosphorylated neurofilament heavy (pNfH) in cerebrospinal fluid (CSF) and NfL in serum, and (2)neuroinflammation: chitotriosidase-1 (CHIT1) and monocyte chemoattractant protein 1 (MCP-1) in CSF. To evaluate diagnostic performance, we calculated the area under the curve (AUC). To estimate prognostic performance, we applied quantile regression and Cox regression. We used linear regression models with robust standard errors to assess temporal changes over time. RESULTS Neurofilaments performed better at differentiating ALS patients from mimics (AUC: pNfH 0.92, CSF NfL 0.86, serum NfL 0.91) than neuroinflammatory biomarkers (AUC: CHIT1 0.71, MCP-1 0.56). Combining biomarkers did not improve diagnostic performance. Similarly, neurofilaments performed better than neuroinflammatory biomarkers at predicting functional decline and survival. The stratified analysis revealed differences according to the site of onset: in bulbar patients, neurofilaments and CHIT1 performed worse at predicting survival and correlations were lower between biomarkers. Finally, in bulbar patients, neurofilaments and CHIT1 increased longitudinally but were stable in spinal patients. CONCLUSIONS Biomarkers of neuroaxonal degeneration displayed better diagnostic and prognostic value compared with neuroinflammatory biomarkers. However, in contrast to spinal patients, in bulbar patients neurofilaments and CHIT1 performed worse at predicting survival and seemed to increase over time.
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Affiliation(s)
- Ulf Kläppe
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Stefan Sennfält
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Anikó Lovik
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Methodology and Statistics Unit, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - Anja Finn
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Ulrika Bofaisal
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Psychology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA, and
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Psychology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Fredrik Piehl
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Ivan Kmezic
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Rayomand Press
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Kristin Samuelsson
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Anna Månberg
- Division of Affinity Proteomics, Department of Protein Science, KTH Royal Institute of Technology, Stockholm, Sweden
| | - Fang Fang
- Unit of Integrative Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Caroline Ingre
- Karolinska Institutet, Stockholm, Sweden
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
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Chertcoff A, Schneider R, Azevedo CJ, Sicotte N, Oh J. Recent Advances in Diagnostic, Prognostic, and Disease-Monitoring Biomarkers in Multiple Sclerosis. Neurol Clin 2024; 42:15-38. [PMID: 37980112 DOI: 10.1016/j.ncl.2023.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2023]
Abstract
Multiple sclerosis (MS) is a highly heterogeneous disease. Currently, a combination of clinical features, MRI, and cerebrospinal fluid markers are used in clinical practice for diagnosis and treatment decisions. In recent years, there has been considerable effort to develop novel biomarkers that better reflect the pathologic substrates of the disease to aid in diagnosis and early prognosis, evaluation of ongoing inflammatory activity, detection and monitoring of disease progression, prediction of treatment response, and monitoring of disease-modifying treatment safety. In this review, the authors provide an overview of promising recent developments in diagnostic, prognostic, and disease-monitoring/treatment-response biomarkers in MS.
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Affiliation(s)
- Anibal Chertcoff
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada
| | - Raphael Schneider
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada
| | - Christina J Azevedo
- Department of Neurology, Keck School of Medicine, University of Southern California, HCT 1520 San Pablo Street, Health Sciences Campus, Los Angeles, CA 90033, USA
| | - Nancy Sicotte
- Department of Neurology, Cedars-Sinai Medical Center, 127 S San Vicente Boulevard, 6th floor, Suite A6600, Los Angeles, CA 90048, USA
| | - Jiwon Oh
- Division of Neurology, Department of Medicine, St. Michael's Hospital, University of Toronto, 30 Bond Street, PGT 17-742, Toronto, Ontario M5B 1W8, Canada; Department of Neurology, Johns Hopkins University, Baltimore, MD, USA.
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Fang T, Dai Y, Hu X, Xu Y, Qiao J. Evaluation of serum neurofilament light chain and glial fibrillary acidic protein in the diagnosis of Alzheimer's disease. Front Neurol 2024; 15:1320653. [PMID: 38352136 PMCID: PMC10861667 DOI: 10.3389/fneur.2024.1320653] [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: 10/14/2023] [Accepted: 01/15/2024] [Indexed: 02/16/2024] Open
Abstract
Purpose This study aimed to evaluate the use of serum neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) in the diagnosis of Alzheimer's disease (AD) and the differential diagnosis between AD and mild cognitive impairment (MCI). Methods From September 2021 to October 2022, we collected venous blood from patients and healthy individuals who visited our hospital's Neurology Department, and we isolated serum to detect NfL and GFAP using direct chemiluminescence. The results were analyzed using one-way analysis of variance (ANOVA) analysis and receiver operating characteristic (ROC) curves. Results Pairwise comparisons among the three groups showed that compared with the health checkup (HC) group, serum NfL and GFAP were increased in both AD and MCI (PNfL < 0.05, PGFAP < 0.01). There were significant differences in GFAP between MCI and AD groups, and the level in AD group was higher (p < 0.01), while there was no difference in NfL. Both serum NfL and serum GFAP levels can independently diagnose AD (p < 0.01). The ROC curve showed that GFAP had a higher diagnostic efficacy, with an area under the ROC curve (AUC) of 0.928. The cut-off values of the two serum markers for the diagnosis of AD were NfL > 40.09 pg./mL and GFAP >31.40 pg./mL. Sensitivity and specificity for NfL in the diagnosis of AD were 59.6 and 76.2%, respectively, and for GFAP, they were 90.4 and 82.1%, respectively. The combined diagnosis of GFAP and NfL improved the diagnostic efficiency (AUC = 0.931, sensitivity = 78.8%, specificity = 92.3%). The cut-off value of GFAP for the differential diagnosis of MCI and AD was 46.05 pg./mL. Conclusion Both serum NfL and serum GFAP can be used as biomarkers for the diagnosis of AD. Serum GFAP has better diagnostic efficacy and can distinguish AD from MCI. A combined diagnosis can improve diagnostic specificity.
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Affiliation(s)
| | | | | | - Yuanhong Xu
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jinping Qiao
- Department of Clinical Laboratory, The First Affiliated Hospital of Anhui Medical University, Hefei, China
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Kruize Z, van Campen I, Vermunt L, Geerse O, Stoffels J, Teunissen C, van Zuylen L. Delirium pathophysiology in cancer: neurofilament light chain biomarker - narrative review. BMJ Support Palliat Care 2024:spcare-2024-004781. [PMID: 38290815 DOI: 10.1136/spcare-2024-004781] [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: 01/10/2024] [Accepted: 01/10/2024] [Indexed: 02/01/2024]
Abstract
Background Delirium is a debilitating disorder with high prevalence near the end of life, impacting quality of life of patients and their relatives. Timely recognition of delirium can lead to prevention and/or better treatment of delirium. According to current hypotheses delirium is thought to result from aberrant inflammation and neurotransmission, with a possible role for neuronal damage. Neurofilament light chain (NfL) is a protein biomarker in body fluids that is unique to neurons, with elevated levels when neurons are damaged, making NfL a viable biomarker for early detection of delirium. This narrative review summarises current research regarding the pathophysiology of delirium and the potential of NfL as a susceptibility biomarker for delirium and places this in the context of care for patients with advanced cancer.Results Six studies were conducted exclusively on NfL in patients with delirium. Three of these studies demonstrated that high plasma NfL levels preoperatively predict delirium in older adult patients postoperatively. Two studies demonstrated that high levels of NfL in intensive care unit (ICU) patients are correlated with delirium duration and severity. One study found that incident delirium in older adult patients was associated with increased median NfL levels during hospitalisation.Conclusions Targeted studies are required to understand if NfL is a susceptibility biomarker for delirium in patients with advanced cancer. In this palliative care context, better accessible matrices, such as saliva or urine, would be helpful for repetitive testing. Improvement of biological measures for delirium can lead to improved early recognition and lay the groundwork for novel therapeutic strategies.
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Affiliation(s)
- Zita Kruize
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Isa van Campen
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lisa Vermunt
- Department of Laboratory medicine, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Olaf Geerse
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Josephine Stoffels
- Department of Internal Medicine, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Charlotte Teunissen
- Department of Laboratory medicine, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
| | - Lia van Zuylen
- Department of Medical Oncology, Amsterdam UMC Location VUmc, Amsterdam, The Netherlands
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Wilson D, Chan D, Chang L, Mathis R, Verberk I, Montalban X, Comabella M, Fissolo N, Bielekova B, Masvekar R, Chitnis T, Ziemssen T, Akgün K, Blennow K, Zetterberg H, Brück W, Giovannoni G, Gnanapavan S, Bittner S, Zipp F, Comi G, Furlan R, Lehmann S, Thebault S, Freedman M, Bar-Or A, Kramer M, Otto M, Halbgebauer S, Hrusovsky K, Plavina T, Khalil M, Piehl F, Wiendl H, Kappos L, Maceski A, Willemse E, Leppert D, Teunissen C, Kuhle J. Development and multi-center validation of a fully automated digital immunoassay for neurofilament light chain: toward a clinical blood test for neuronal injury. Clin Chem Lab Med 2024; 62:322-331. [PMID: 37702323 DOI: 10.1515/cclm-2023-0518] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 08/17/2023] [Indexed: 09/14/2023]
Abstract
OBJECTIVES Neurofilament light chain (NfL) has emerged as a promising biomarker for detecting and monitoring axonal injury. Until recently, NfL could only be reliably measured in cerebrospinal fluid, but digital single molecule array (Simoa) technology has enabled its precise measurement in blood samples where it is typically 50-100 times less abundant. We report development and multi-center validation of a novel fully automated digital immunoassay for NfL in serum for informing axonal injury status. METHODS A 45-min immunoassay for serum NfL was developed for use on an automated digital analyzer based on Simoa technology. The analytical performance (sensitivity, precision, reproducibility, linearity, sample type) was characterized and then cross validated across 17 laboratories in 10 countries. Analytical performance for clinical NfL measurement was examined in individual patients with relapsing remitting multiple sclerosis (RRMS) after 3 months of disease modifying treatment (DMT) with fingolimod. RESULTS The assay exhibited a lower limit of detection (LLoD) of 0.05 ng/L, a lower limit of quantification (LLoQ) of 0.8 ng/L, and between-laboratory imprecision <10 % across 17 validation sites. All tested samples had measurable NfL concentrations well above the LLoQ. In matched pre-post treatment samples, decreases in NfL were observed in 26/29 RRMS patients three months after DMT start, with significant decreases detected in a majority of patients. CONCLUSIONS The sensitivity characteristics and reproducible performance across laboratories combined with full automation make this assay suitable for clinical use for NfL assessment, monitoring in individual patients, and cross-comparisons of results across multiple sites.
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Affiliation(s)
| | | | | | | | - Inge Verberk
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam, University Medical Centers, Amsterdam, The Netherlands
| | - Xavier Montalban
- Laboratori de Neuroinmunologia Clinica Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Manuel Comabella
- Laboratori de Neuroinmunologia Clinica Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Nicolas Fissolo
- Laboratori de Neuroinmunologia Clinica Centre d'Esclerosi Múltiple de Catalunya (Cemcat) Vall d'Hebron Institut de Recerca, Barcelona, Spain
| | - Bibi Bielekova
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Ruturaj Masvekar
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, USA
| | - Tanuja Chitnis
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Tjalf Ziemssen
- MS Center Dresden, Center of Clinical Neuroscience, Department of Neurology, Dresden University of Technology, Dresden, Germany
| | - Katja Akgün
- MS Center Dresden, Center of Clinical Neuroscience, Department of Neurology, Dresden University of Technology, Dresden, Germany
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK
- UK Dementia Research Institute at UCL, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
| | - Wolfgang Brück
- Institute for Neuropathology at the University Medical Center, Göttingen, Germany
| | - Gavin Giovannoni
- Department of Neurology, Barts Health NHS Trust, The Royal London Hospital, E1 1FR, London, UK
| | - Sharmilee Gnanapavan
- Department of Neurology, Barts Health NHS Trust, The Royal London Hospital, E1 1FR, London, UK
| | - Stefan Bittner
- University Medical Center Mainz, Department of Neurology, Mainz, Germany
| | - Frauke Zipp
- University Medical Center Mainz, Department of Neurology, Mainz, Germany
| | - Giancarlo Comi
- Institute of Experimental Neurology, Division of Neuroscience, University Vita e Salute San Raffaele and IRCCS San Raffaele Hospital, Milan, Italy
| | - Roberto Furlan
- Institute of Experimental Neurology, Division of Neuroscience, University Vita e Salute San Raffaele and IRCCS San Raffaele Hospital, Milan, Italy
| | | | - Simon Thebault
- University of Ottawa, Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Canada
| | - Mark Freedman
- University of Ottawa, Department of Medicine, The Ottawa Hospital Research Institute, Ottawa, Canada
| | - Amit Bar-Or
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | - Markus Otto
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Steffen Halbgebauer
- Department of Neurology, Ulm University Hospital, Ulm, Germany
- German Center for Neurodegenerative Diseases (DZNE e.V.), Ulm, Germany
| | | | | | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Heinz Wiendl
- Department of Neurology, University of Münster, Münster, Germany
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel, Departments of Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Aleksandra Maceski
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Eline Willemse
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - David Leppert
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Charlotte Teunissen
- Neurochemistry Laboratory, Department of Laboratory Medicine, Amsterdam Neuroscience, Amsterdam, University Medical Centers, Amsterdam, The Netherlands
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Head, Spine and Neuromedicine, Biomedicine and Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
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Ito M, Fujii N, Kohara S, Tanaka M, Takao M, Mihara B, Saito Y, Mizuma A, Nakayama T, Netsu S, Suzuki N, Kakita A, Nagata E. Elevation of inositol pyrophosphate IP 7 in the mammalian spinal cord of amyotrophic lateral sclerosis. Front Neurol 2024; 14:1334004. [PMID: 38274887 PMCID: PMC10808411 DOI: 10.3389/fneur.2023.1334004] [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: 11/06/2023] [Accepted: 12/15/2023] [Indexed: 01/27/2024] Open
Abstract
Background Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disorder associated with progressive impairment of spinal motor neurons. Continuous research endeavor is underway to fully understand the molecular mechanisms associating with this disorder. Although several studies have implied the involvement of inositol pyrophosphate IP7 in ALS, there is no direct experimental evidence proving this notion. In this study, we analyzed inositol pyrophosphate IP7 and its precursor IP6 in the mouse and human ALS biological samples to directly assess whether IP7 level and/or its metabolism are altered in ALS disease state. Methods We used a liquid chromatography-mass spectrometry (LC-MS) protocol originally-designed for mammalian IP6 and IP7 analysis. We measured the abundance of these molecules in the central nervous system (CNS) of ALS mouse model SOD1(G93A) transgenic (TG) mice as well as postmortem spinal cord of ALS patients. Cerebrospinal fluid (CSF) and peripheral blood mononuclear cells (PBMCs) from ALS patients were also analyzed to assess if IP7 status in these biofluids is associated with ALS disease state. Results SOD1(G93A) TG mice showed significant increase of IP7 level in the spinal cord compared with control mice at the late stage of disease progression, while its level in cerebrum and cerebellum remains constant. We also observed significantly elevated IP7 level and its product-to-precursor ratio (IP7/IP6) in the postmortem spinal cord of ALS patients, suggesting enhanced enzymatic activity of IP7-synthesizing kinases in the human ALS spinal cord. In contrast, human CSF did not contain detectable level of IP6 and IP7, and neither the IP7 level nor the IP7/IP6 ratio in human PBMCs differentiated ALS patients from age-matched healthy individuals. Conclusion By directly analyzing IP7 in the CNS of ALS mice and humans, the findings of this study provide direct evidence that IP7 level and/or the enzymatic activity of IP7-generating kinases IP6Ks are elevated in ALS spinal cord. On the other hand, this study also showed that IP7 is not suitable for biofluid-based ALS diagnosis. Further investigation is required to elucidate a role of IP7 in ALS pathology and utilize IP7 metabolism on the diagnostic application of ALS.
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Affiliation(s)
- Masatoshi Ito
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
- Department of Legal Medicine, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Natsuko Fujii
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
| | - Saori Kohara
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
| | - Masayuki Tanaka
- Support Center for Medical Research and Education, Tokai University, Isehara, Japan
| | - Masaki Takao
- Department of Clinical Laboratory, National Center of Neurology and Psychiatry, National Center Hospital, Tokyo, Japan
- Department of Neurology, Mihara Memorial Hospital, Isesaki, Japan
| | - Ban Mihara
- Department of Neurology, Mihara Memorial Hospital, Isesaki, Japan
| | - Yuko Saito
- Department of Neuropathology, Tokyo Metropolitan Geriatric Hospital and Institute of Gerontology, Tokyo, Japan
| | - Atsushi Mizuma
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
| | - Taira Nakayama
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
| | - Shizuka Netsu
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
| | - Naoto Suzuki
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Eiichiro Nagata
- Department of Neurology, Tokai University School of Medicine, Isehara, Japan
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