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Schneider R, Brand-Arzamendi K, Reynold Lim T, Lee LE, Guenette M, Suthiphosuwan S, Bharatha A, Oh J. Plasma glial fibrillary acidic protein levels correlate with paramagnetic rim lesions in people with radiologically isolated syndrome. Mult Scler 2024; 30:156-165. [PMID: 38145319 DOI: 10.1177/13524585231219131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2023]
Abstract
BACKGROUND There are no specific, evidence-based recommendations for the management of individuals with radiologically isolated syndrome. Imaging and blood biomarkers may have prognostic utility. OBJECTIVE To determine whether plasma neurofilament light protein (NfL) or glial fibrillary acidic protein (GFAP) levels in people with radiologically isolated syndrome correlate with imaging measures that have been shown to be associated with negative clinical outcomes in people with multiple sclerosis. METHODS Cross-sectional analysis of people with radiologically isolated syndrome. Participants underwent magnetic resonance imaging (MRI) of the brain and cervical spinal cord, and plasma was collected. Plasma NfL and GFAP levels were measured with a single-molecule array, and correlations with MRI measures were assessed, including the number of: T1-black holes, white-matter lesions demonstrating the central vein sign, paramagnetic rim lesions, cervical spinal cord lesions and infratentorial lesions. RESULTS Plasma GFAP levels, but not NfL levels, showed correlations with the number of T1-black holes, white matter lesions demonstrating the central vein sign and paramagnetic rim lesions (all p < 0.05). CONCLUSION We found correlations between plasma GFAP levels and imaging measures associated with poor clinical outcomes and chronic inflammation in individuals with radiologically isolated syndrome. Plasma GFAP may have prognostic utility in clinical trials and clinical practice.
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Affiliation(s)
- Raphael Schneider
- Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute and Keenan Research Centre for Biomedical Science, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
- BARLO MS Centre, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Koroboshka Brand-Arzamendi
- Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Timothy Reynold Lim
- Department of Radiology, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Lisa Eunyoung Lee
- Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Melanie Guenette
- Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Suradech Suthiphosuwan
- Department of Radiology, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Aditya Bharatha
- Department of Radiology, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - Jiwon Oh
- Department of Medicine, St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Li Ka Shing Knowledge Institute and Keenan Research Centre for Biomedical Science, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
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2
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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; 0:cclm-2023-1311. [PMID: 38215341 DOI: 10.1515/cclm-2023-1311] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [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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3
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Seidu NM, Kern S, Sacuiu S, Sterner TR, Blennow K, Zetterberg H, Lindberg O, Ferreira D, Westman E, Zettergren A, Skoog I. Association of CSF biomarkers with MRI brain changes in Alzheimer's disease. Alzheimers Dement (Amst) 2024; 16:e12556. [PMID: 38406609 PMCID: PMC10884990 DOI: 10.1002/dad2.12556] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/24/2024] [Indexed: 02/27/2024]
Abstract
The relation between cerebrospinal fluid (CSF) biomarkers of Alzheimer's disease (AD) and magnetic resonance imaging (MRI) measures is poorly understood in cognitively healthy individuals from the general population. Participants' (n = 226) mean age was 70.9 years (SD = 0.4). CSF concentrations of amyloid beta (Aβ)1-42, total tau (t-tau), phosphorylated tau (p-tau), neurogranin, and neurofilament light, and volumes of hippocampus, amygdala, total basal forebrain (TBF), and cortical thickness were measured. Linear associations between CSF biomarkers and MRI measures were investigated. In Aβ1-42 positives, higher t-tau and p-tau were associated with smaller hippocampus (P = 0.001 and P = 0.003) and amygdala (P = 0.005 and P = 0.01). In Aβ1-42 negatives, higher t-tau, p-tau, and neurogranin were associated with larger TBF volume (P = 0.001, P = 0.001, and P = 0.01). No associations were observed between the CSF biomarkers and an AD signature score of cortical thickness. AD-specific biomarkers in cognitively healthy 70-year-olds may be related to TBF, hippocampus, and amygdala. Lack of association with cortical thickness might be due to early stage of disease.
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Affiliation(s)
- Nazib M Seidu
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Silke Kern
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Psychiatry Cognition and Old Age PsychiatrySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
| | - Simona Sacuiu
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Psychiatry Cognition and Old Age PsychiatrySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Cognitive Disorders ClinicTheme Inflammation and AgingKarolinska University HospitalStockholmSweden
| | - Therese Rydberg Sterner
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Aging Research CenterDepartment of NeurobiologyCare Sciences and SocietyKarolinska Institutet and Stockholm UniversityStockholmSweden
| | - Kaj Blennow
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
| | - Henrik Zetterberg
- Department of Psychiatry and NeurochemistryInstitute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Clinical Neurochemistry LaboratorySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
- UK Dementia Research Institute at UCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyLondonUK
- Hong Kong Center for Neurodegenerative DiseasesHong KongChina
- UW Department of MedicineSchool of Medicine and Public HealthMadisonWisconsinUSA
| | - Olof Lindberg
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
| | - Daniel Ferreira
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Facultad de Ciencias de la SaludUniversidad Fernando Pessoa CanariasLas PalmasSpain
| | - Eric Westman
- Division of Clinical GeriatricsDepartment of NeurobiologyCare Sciences and SocietyCenter for Alzheimer ResearchKarolinska InstitutetStockholmSweden
- Department of NeuroimagingCentre for Neuroimaging SciencesInstitute of PsychiatryPsychology and NeuroscienceKing's College LondonLondonUK
| | - Anna Zettergren
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
| | - Ingmar Skoog
- Neuropsychiatric Epidemiology (EPINEP)Centre for Ageing and Health (AGECAP)Institute of Neuroscience and PhysiologySahlgrenska AcademyUniversity of GothenburgGothenburgSweden
- Department of Psychiatry Cognition and Old Age PsychiatrySahlgrenska University Hospital, Region Västra GötalandGothenburgSweden
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4
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Li XY, Bao YF, Xie JJ, Gao B, Qian SX, Dong Y, Wu ZY. Application Value of Serum Neurofilament Light Protein for Disease Staging in Huntington's Disease. Mov Disord 2023. [PMID: 37148558 DOI: 10.1002/mds.29430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 04/06/2023] [Accepted: 04/18/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND Neurofilament light protein (NfL) has been proven to be a sensitive biomarker for Huntington's disease (HD). However, these studies did not include HD patients at advanced stages or with larger CAG repeats (>50), leading to a knowledge gap of the characteristics of NfL. METHODS Serum NfL (sNfL) levels were quantified using an ultrasensitive immunoassay. Participants were assessed by clinical scales and 7.0 T magnetic resonance imaging. Longitudinal samples and clinical data were obtained. RESULTS Baseline samples were available from 110 controls, 90 premanifest HD (pre-HD) and 137 HD individuals. We found levels of sNfL significantly increased in HD compared to pre-HD and controls (both P < 0.0001). The increase rates of sNfL were differed by CAG repeat lengths. However, there was no difference in sNfL levels in manifest HD from early to late stages. In addition, sNfL levels were associated with cognitive measures in pre-HD and manifest HD group, respectively. The increased levels of sNfL were also closely related to microstructural changes in white matter. In the longitudinal analysis, baseline sNfL did not correlate with subsequent clinical function decline. Random forest analysis revealed that sNfL had good power for predicting disease onset. CONCLUSIONS Although sNfL levels are independent of disease stages in manifest HD, it is still an optimal indicator for predicting disease onset and has potential use as a surrogate biomarker of treatment effect in clinical trials. © 2023 International Parkinson and Movement Disorder Society.
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Affiliation(s)
- Xiao-Yan Li
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yu-Feng Bao
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Juan-Juan Xie
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Bin Gao
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Shu-Xia Qian
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Yi Dong
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhi-Ying Wu
- Department of Medical Genetics and Center for Rare Diseases, and Department of Neurology in Second Affiliated Hospital, and Key Laboratory of Medical Neurobiology of Zhejiang Province, Zhejiang University School of Medicine, Hangzhou, China
- MOE Frontier Science Center for Brain Research and Brain-Machine Integration, School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Shanghai, China
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5
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Shim Y. Follow-up Comparisons of Two Plasma Biomarkers of Alzheimer's Disease, Neurofilament Light Chain, and Oligomeric Aβ: A Pilot Study. Curr Alzheimer Res 2023; 20:715-724. [PMID: 38299421 DOI: 10.2174/0115672050284054240119101834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 01/06/2024] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND AND OBJECTIVE Recent evidence suggests that blood-based biomarkers might be useful for Alzheimer's disease (AD). Among them, we intend to investigate whether neurofilament light (NfL) and multimer detection system-oligomeric Aβ (MDS-OAβ) values can be useful in screening, predicting, and monitoring disease progression and how the relationship between NfL and MDS-OAβ values changes. METHODS Eighty participants with probable AD dementia, 50 with mild cognitive impairment (MCI), and 19 with subjective cognitive decline (SCD) underwent baseline and follow-up evaluations of the Mini-Mental Status Examination (MMSE) and both plasma biomarkers. RESULTS Baseline MDS-OAß (p = 0.016) and NfL (p = 0.002) plasma concentrations differed significantly among groups, but only NfL correlated with baseline MMSE scores (r = -0.278, p = 0.001). In follow-up, neither correlated with MMSE changes overall. However, in SCD and MCI participants (n = 32), baseline MDS-OAß correlated with follow-up MMSE scores (r = 0.532, p = 0.041). Linear regression revealed a relationship between baseline MDS-OAβ and follow-up MMSE scores. In SCD and MCI participants, plasma NfL changes correlated with MMSE changes (r = 0.564, p = 0.028). CONCLUSION This study shows that only in participants with SCD and MCI, not including AD dementia, can MDS-OAß predict the longitudinal cognitive decline measured by follow-up MMSE. Changes of NfL, not MDS-OAß, parallel the changes of MMSE. Further studies with larger samples and longer durations could strengthen these results..
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Affiliation(s)
- YongSoo Shim
- Department of Neurology, The Catholic University of Korea Eunpyeong St. Mary's Hospital, Seoul, Republic of Korea
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6
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Merten N, Pinto AA, Paulsen AJ, Chen Y, Engelman CD, Hancock LM, Johnson SC, Schubert CR. Associations of Midlife Lifestyle and Health Factors with Long-Term Changes in Blood-Based Biomarkers of Alzheimer's Disease and Neurodegeneration. J Alzheimers Dis 2023; 94:1381-1395. [PMID: 37393497 PMCID: PMC10461414 DOI: 10.3233/jad-221287] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/03/2023]
Abstract
BACKGROUND Pathological biomarkers of Alzheimer's disease (AD) and other dementias can change decades before clinical symptoms. Lifestyle and health factors might be relevant modifiable risk factors for dementia. Many previous studies have been focusing on associations of lifestyle and health-related factors with clinical outcomes later in life. OBJECTIVE We aimed to determine to what extent midlife factors of lifestyle, inflammation, vascular, and metabolic health were associated with long-term changes in blood-based biomarkers of AD (amyloid beta (Aβ)) and neurodegeneration (neurofilament light chain (NfL); total tau(TTau)). METHODS In 1,529 Beaver Dam Offspring Study (BOSS) participants (mean age 49 years, standard deviation (SD) = 9; 54% were women), we applied mixed-effects models with baseline risk factors as determinants and 10-year serum biomarker change as outcomes. RESULTS We found that education and inflammatory markers were associated with levels and/or change over time across all three markers of AD and neurodegeneration in the blood. There were baseline associations of measures of cardiovascular health with lower Aβ42/Aβ40. TTau changed little over time and was higher in individuals with diabetes. Individuals with lower risk in a number of cardiovascular and metabolic risk factors, including diabetes, hypertension, and atherosclerosis had slower accumulation of neurodegeneration over time, as determined by NfL levels. CONCLUSION Various lifestyle and health factors, including education and inflammation, were associated with longitudinal changes of neurodegenerative and AD biomarker levels in midlife. If confirmed, these findings could have important implications for developing early lifestyle and health interventions that could potentially slow processes of neurodegeneration and AD.
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Affiliation(s)
- Natascha Merten
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - A Alex Pinto
- Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Adam J Paulsen
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Yanjun Chen
- Department of Ophthalmology and Visual Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Corinne D Engelman
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Laura M Hancock
- Department of Neurology, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- William S Middleton Memorial Veterans Hospital, WI, USA
| | - Sterling C Johnson
- Division of Geriatrics and Gerontology, Department of Medicine, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
- Wisconsin Alzheimer’s Disease Research Center, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Carla R Schubert
- Department of Population Health Sciences, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
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7
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Dittrich A, Ashton NJ, Zetterberg H, Blennow K, Simrén J, Geiger F, Zettergren A, Shams S, Machado A, Westman E, Schöll M, Skoog I, Kern S. Plasma and CSF NfL are differentially associated with biomarker evidence of neurodegeneration in a community-based sample of 70-year-olds. Alzheimers Dement (Amst) 2022; 14:e12295. [PMID: 35280965 PMCID: PMC8897823 DOI: 10.1002/dad2.12295] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 01/25/2022] [Accepted: 01/26/2022] [Indexed: 12/13/2022]
Abstract
Neurofilament light protein (NfL) in cerebrospinal fluid (CSF) and plasma (P) are suggested to be interchangeable markers of neurodegeneration. However, evidence is scarce from community‐based samples. NfL was examined in a small‐scale sample of 287 individuals from the Gothenburg H70 Birth cohort 1944 study, using linear models in relation to CSF and magnetic resonance imaging (MRI) biomarker evidence of neurodegeneration. CSF‐NfL and P‐NfL present distinct associations with biomarker evidence of Alzheimer's disease (AD) pathology and neurodegeneration. P‐NfL was associated with several markers that are characteristic of AD, including smaller hippocampal volumes, amyloid beta (Aβ)42, Aβ42/40, and Aβ42/t‐tau (total tau). CSF‐NfL demonstrated associations with measures of synaptic and neurodegeneration, including t‐tau, phosphorylated tau (p‐tau), and neurogranin. Our findings suggest that P‐NfL and CSF‐NfL may exert different effects on markers of neurodegeneration in a small‐scale community‐based sample of 70‐year‐olds.
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Affiliation(s)
- Anna Dittrich
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Department of Psychiatry Cognition and Old Age Psychiatry Sahlgrenska University Hospital Mölndal Sweden
| | - Nicholas J Ashton
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Wallenberg Center of Molecular and Translational Medicine University of Gothenburg Gothenburg Sweden.,King's College London, Institute of Psychiatry, Psychology and Neuroscience Maurice Wohl Institute Clinical Neuroscience Institute London UK.,NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS Foundation London UK
| | - Henrik Zetterberg
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden.,UK Dementia Research Institute at UCL UCL Institute of Neurology London UK.,Department of Neurodegenerative Disease UCL Institute of Neurology London UK
| | - Kaj Blennow
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
| | - Joel Simrén
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Clinical Neurochemistry Laboratory Sahlgrenska University Hospital Mölndal Sweden
| | - Fiona Geiger
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - Anna Zettergren
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden
| | - Sara Shams
- Department of Clinical Neuroscience Karolinska University Hospital Stockholm Sweden.,Care Sciences and Society, Karolinska Institutet, and Department of Radiology Karolinska University Hospital Stockholm Sweden.,Department of Radiology Stanford University Stanford California USA
| | - Alejandra Machado
- Division of Clinical Geriatrics Department of Neurobiology Karolinska University Hospital Stockholm Sweden
| | - Eric Westman
- Division of Clinical Geriatrics Department of Neurobiology Karolinska University Hospital Stockholm Sweden
| | - Michael Schöll
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Wallenberg Center of Molecular and Translational Medicine University of Gothenburg Gothenburg Sweden.,Department of Neurodegenerative Disease UCL Institute of Neurology London UK
| | - Ingmar Skoog
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Department of Psychiatry Cognition and Old Age Psychiatry Sahlgrenska University Hospital Mölndal Sweden
| | - Silke Kern
- Department of Neuropsychiatric Epidemiology Unit Department of Psychiatry and Neurochemistry Institute of Neuroscience and Physiology, Sahlgrenska Academy University of Gothenburg Gothenburg Sweden.,Department of Psychiatry Cognition and Old Age Psychiatry Sahlgrenska University Hospital Mölndal Sweden
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8
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Rosenstein I, Axelsson M, Novakova L, Blennow K, Zetterberg H, Lycke J. Exploring CSF neurofilament light as a biomarker for MS in clinical practice; a retrospective registry-based study. Mult Scler 2021; 28:872-884. [PMID: 34392718 PMCID: PMC9024026 DOI: 10.1177/13524585211039104] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Neurofilament light (NFL) has been increasingly recognized for prognostic and therapeutic decisions. Objective: To validate the utility of cerebrospinal fluid NFL (cNFL) as a biomarker in clinical practice of relapsing-remitting multiple sclerosis (RRMS). Methods: RRMS patients (n = 757) who had cNFL analyzed as part of the diagnostic work-up in a single academic multiple sclerosis (MS) center, 2001–2018, were retrospectively identified. cNFL concentrations were determined with two different immunoassays and the ratio of means between them was used for normalization. Results: RRMS with relapse had 4.4 times higher median cNFL concentration (1134 [interquartile range (IQR) 499–2744] ng/L) than those without relapse (264 [125–537] ng/L, p < 0.001) and patients with gadolinium-enhancing lesions had 3.3 times higher median NFL (1414 [606.8–3210] ng/L) than those without (426 [IQR 221–851] ng/L, p < 0.001). The sensitivity and specificity of cNFL to detect disease activity was 75% and 98.5%, respectively. High cNFL at MS onset predicted progression to Expanded Disability Status Scale (EDSS) ⩾ 3 (p < 0.001, hazard ratios (HR) = 1.89, 95% CI = 1.44–2.65) and conversion to secondary progressive MS (SPMS, p = 0.001, HR = 2.5, 95% CI = 1.4–4.2). Conclusions: cNFL is a robust and reliable biomarker of disease activity, treatment response, and prediction of disability and conversion from RRMS to SPMS. Our data suggest that cNFL should be included in the assessment of patients at MS-onset.
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Affiliation(s)
- Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Markus Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lenka Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, 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, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden/Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK/UK Dementia Research Institute, University College London (UCL), London, UK
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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9
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Zhang X, Fu Q. [Correlation of cerebrospinal fluid amyloid β-protein 42 and neurofilament light protein levels with postoperative neurocognitive dysfunction in elderly patients]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:574-578. [PMID: 33963718 DOI: 10.12122/j.issn.1673-4254.2021.04.14] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To detect cerebrospinal fluid levels of amyloid beta- protein 42 (Aβ42) and neurofilament light protein (NFL) and explore their correlation with postoperative neurocognitive dysfunction (PNCD) in elderly patients. OBJECTIVE A total of 90 elderly patients undergoing hip or knee replacement with joint epidural anesthesia in our Hospital between January, 2017 and December, 2018 were recruited in this study. The levels of Aβ42 and NFL in the cerebrospinal fluid were detected using ELISA. Simple cognitive status assessment scale (MMSE) was used to evaluate the cognitive status of the patients 1 day before and 7 days after the surgery. All the patients underwent neurocognitive function tests, and the z-score method was used to determine the occurrence of PNCD. Spearman rank correlation analysis was used to analyze the correlation of Aβ42 and NFL levels in the cerebrospinal fluid with MMSE scores. Receiver operating characteristic curve (ROC) was used to analyze the predictive value of cerebrospinal fluid Aβ42 and NFL levels for PNCD. OBJECTIVE PNCD occurred in 38 of the 90 elderly patients, with an incidence of 42.2%. The level of Aβ42 in the cerebrospinal fluid was significantly lower in PNCD group than in the nonPNCD group (1.96 vs 2.54 ng/mL; t=3.29, P < 0.05); the concentration of NFL in the cerebrospinal fluid was significantly higher in PNCD group than in non- PNCD group (4.59 vs 3.16 ng/mL; t=3.72, P < 0.05). Aβ42 level in the cerebrospinal fluid was positively correlated while NFL was negatively correlated with the MMSE score of the patients (r=-0.659, P < 0.05; r=-0.626, P < 0.05). ROC curve analysis showed that the area under the curve (AUC) of cerebrospinal fluid Aβ42 and NFL levels were 0.744 and 0.768, respectively; the AUC of their combination was 0.847 for prediction of PNCD. OBJECTIVE Elderly patients with PNCD have significantly higher levels of Aβ42 and NFL in the cerebrospinal fluid than those without PNCD. Both Aβ42 and NFL levels in the cerebrospinal fluid can help to predict the occurrence of POCD in elderly patients, and their combination has a higher diagnostic value.
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Affiliation(s)
- X Zhang
- Department of Anesthesiology, General Hospital of PLA, Beijing 100853, China
| | - Q Fu
- Department of Anesthesiology, General Hospital of PLA, Beijing 100853, China
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10
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Shah DK, Yip PK, Barlas A, Tharmapoopathy P, Ponnusamy V, Michael-Titus AT, Chisholm P. Raised Plasma Neurofilament Light Protein Levels After Rewarming Are Associated With Adverse Neurodevelopmental Outcomes in Newborns After Therapeutic Hypothermia. Front Neurol 2020; 11:562510. [PMID: 33192996 PMCID: PMC7644845 DOI: 10.3389/fneur.2020.562510] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Accepted: 08/24/2020] [Indexed: 12/02/2022] Open
Abstract
Aim: To determine the predictive value of plasma neurofilament light protein (NfL) as a prognostic marker for outcomes in babies who have undergone therapeutic hypothermia (TH) for hypoxic ischemic encephalopathy (HIE). Method: NfL levels from three groups of term newborns were compared: (1) those with mild HIE who did not receive TH, (2) newborns treated with TH who had minimal or no brain injury on MRI, and (3) newborns treated with TH who had substantial brain injury on MRI. Follow-up outcomes were collected from 18 months onward. Results: Follow-up was available for 33/37 (89%) of children. A cutoff NfL level >436 pg/ml after rewarming (median age 98 h) was associated with adverse outcome with a diagnostic sensitivity 75%, specificity 77%, PPV 75%, and NPV 77%. NfL levels at earlier time points were not predictive of outcome. Interpretation: This pilot study shows that persistently raised plasma NfL levels after rewarming are associated with adverse outcomes in babies with HIE who have undergone TH.
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Affiliation(s)
- Divyen K Shah
- The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom.,The Centre for Neuroscience, Surgery and Trauma, Barts and The London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, United Kingdom
| | - Ping K Yip
- The Centre for Neuroscience, Surgery and Trauma, Barts and The London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, United Kingdom
| | - Akif Barlas
- The Royal London Hospital, Barts Health NHS Trust, London, United Kingdom
| | - Pavithira Tharmapoopathy
- The Centre for Neuroscience, Surgery and Trauma, Barts and The London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, United Kingdom
| | - Vennila Ponnusamy
- Centre for Genomics and Child Health, Barts and The London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, United Kingdom.,Ashford and St. Peter's Hospitals NHS Foundation Trust, Chertsey, United Kingdom
| | - Adina T Michael-Titus
- The Centre for Neuroscience, Surgery and Trauma, Barts and The London School of Medicine and Dentistry, Blizard Institute, Queen Mary University of London, London, United Kingdom
| | - Philippa Chisholm
- Homerton University Hospitals NHS Foundation Trust, London, United Kingdom
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11
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Cruickshank T, Bartlett D, Govus A, Hannan A, Teo WP, Mason S, Lo J, Ziman M. The relationship between lifestyle and serum neurofilament light protein in Huntington's disease. Brain Behav 2020; 10:e01578. [PMID: 32181593 PMCID: PMC7218250 DOI: 10.1002/brb3.1578] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Revised: 02/04/2020] [Accepted: 02/06/2020] [Indexed: 01/21/2023] Open
Abstract
OBJECTIVES Serum neurofilament light protein (NfL) is a promising marker of disease onset and progression in Huntington's disease (HD). This study investigated associations between lifestyle factors and NfL levels in HD mutation carriers compared to healthy age- and sex-matched controls. MATERIALS AND METHODS Participants included 29 HD mutation carriers and 15 healthy controls. Associations between serum NfL concentrations and lifestyle factors, including cardiorespiratory fitness, social network size and diversity, physical activity, cognitive reserve, smoking status, and alcohol consumption, were examined using a stepwise multivariable linear regression model. RESULTS Higher NfL levels were associated with lower cognitive reserve, social network size and diversity and cardiorespiratory fitness in HD mutation carriers. Group × lifestyle factor effects were observed between lower serum NfL levels and a greater social network diversity. CONCLUSION These findings highlight a relationship between lifestyle factors and NfL levels in HD mutations carriers; however, longitudinal studies are required to confirm if these observed relationships persist over time.
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Affiliation(s)
- Travis Cruickshank
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.,Perron Institute for Neurological and Translational Science, Perth, WA, Australia
| | - Danielle Bartlett
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia
| | - Andrew Govus
- Department of Rehabilitation, Nutrition and Sport, School of Allied Health, La Trobe University, Melbourne, VIC, Australia
| | - Anthony Hannan
- The Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Wei-Peng Teo
- Institute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.,Physical Education and Sports Science (PESS) Academic Group, National Institute of Education, Nanyang Technological University, Nanyang, Singapore
| | - Sarah Mason
- John Van Geest Centre for Brain Repair, University of Cambridge, Cambridge, UK
| | - Johnny Lo
- School of Science, Edith Cowan University, Perth, WA, Australia
| | - Mel Ziman
- School of Medical and Health Sciences, Edith Cowan University, Perth, WA, Australia.,School of Pathology and Laboratory Medicine, University Western Australia, Perth, WA, Australia
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Affiliation(s)
- Olafur Sveinsson
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Malin Säflund
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
| | - Christina Sjöstrand
- Department of Neurology, Karolinska University Hospital, Stockholm, Sweden.,Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
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13
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Axelsson M, Sjögren M, Andersen O, Blennow K, Zetterberg H, Lycke J. Neurofilament light protein levels in cerebrospinal fluid predict long-term disability of Guillain-Barré syndrome: A pilot study. Acta Neurol Scand 2018; 138:143-150. [PMID: 29624650 DOI: 10.1111/ane.12927] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/21/2018] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Although the recovery from Guillain-Barré syndrome (GBS) is good in most patients, some develop permanent severe disability or even die. Early predictors would increase the likelihood to identify patients at risk for poor outcome at the acute stage, allowing them intensified therapeutic intervention. MATERIALS AND METHOD Eighteen patients with a history of GBS 9-17 years ago were reassessed with scoring of neurological disability and quality of life assessment (QoL). Their previous diagnostic work-up included clinical examination with scoring of disability, neurophysiological investigation, a battery of serology tests for infections, and cerebrospinal fluid (CSF) examination. Aliquots of CSF were frozen, stored for 20-28 years, and analyzed by ELISA for determination of neurofilament light protein (NFL) and glial fibrillary acidic protein (GFAP). RESULTS Patients with poor outcome (n = 3) had significantly higher NFL and GFAP levels at GBS nadir than those with good outcome (n = 15, P < .01 and P < .05, respectively). High NFL correlated with more prominent disability and worse QoL at long-term follow-up (r = .694, P < .001, and SF 36 dimension physical component summary (PCS) (r =-.65, P < .05), respectively, whereas GFAP did not correlate with clinical outcome or QoL. CONCLUSION High NFL in CSF at the acute stage of GBS seems to predict long-term outcome and might, together with neurophysiological and clinical measures, be useful in treatment decisions and clinical care of GBS.
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Affiliation(s)
- M. Axelsson
- Department of Clinical Neuroscience; Institute of Neuroscience and Physiology; The Sahlgrenska Academy; University of Gothenburg; Gothenburg Sweden
| | - M. Sjögren
- Department of Clinical Neuroscience; Institute of Neuroscience and Physiology; The Sahlgrenska Academy; University of Gothenburg; Gothenburg Sweden
| | - O. Andersen
- Department of Clinical Neuroscience; Institute of Neuroscience and Physiology; The Sahlgrenska Academy; University of Gothenburg; Gothenburg Sweden
| | - K. Blennow
- Department of Psychiatry and Neurochemistry; Institute of Neuroscience and Physiology; The Sahlgrenska Academy; The University of Gothenburg; Mölndal Sweden
- Clinical Neurochemistry Laboratory; Sahlgrenska University Hospital; Mölndal Sweden
| | - H. Zetterberg
- Department of Psychiatry and Neurochemistry; Institute of Neuroscience and Physiology; The Sahlgrenska Academy; The University of Gothenburg; Mölndal Sweden
- Clinical Neurochemistry Laboratory; Sahlgrenska University Hospital; Mölndal Sweden
- Department of Molecular Neuroscience; UCL Institute of Neurology; London UK
- UK Dementia Research Institute; London UK
| | - J. Lycke
- Department of Clinical Neuroscience; Institute of Neuroscience and Physiology; The Sahlgrenska Academy; University of Gothenburg; Gothenburg Sweden
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Martínez MAM, Olsson B, Bau L, Matas E, Cobo Calvo Á, Andreasson U, Blennow K, Romero-Pinel L, Martínez-Yélamos S, Zetterberg H. Glial and neuronal markers in cerebrospinal fluid predict progression in multiple sclerosis. Mult Scler 2015; 21:550-61. [PMID: 25732842 PMCID: PMC4390605 DOI: 10.1177/1352458514549397] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Objective: To investigate glial and neuronal biomarkers in cerebrospinal fluid (CSF) samples from patients with relapsing–remitting multiple sclerosis (RRMS) and clinically isolated syndrome (CIS) suggestive of multiple sclerosis (MS), and to evaluate their ability to predict conversion from CIS to clinically definite MS (CDMS) and also disability progression in MS. Methods: CSF levels of neurofilament light protein (NFL), t-tau, p-tau, glial fibrillary acidic protein (GFAP), S-100B, human chitinase 3-like 1 protein (YKL-40), monocyte chemoattractant protein-1 (MCP-1), α-sAPP and β-sAPP; and Aβ38, Aβ40 and Aβ42, were analyzed in 109 CIS patients and 192 RRMS patients. The mean follow-up time of these 301 patients was 11.7 ± 6.4 years. Results: High levels of NFL were associated with early conversion from CIS to CDMS (hazard ratio (HR) with 95% confidence interval (CI): 2.69 (1.75 – 4.15); p < 0.0001). High levels of YKL-40 and GFAP were associated with earlier progression in the Expanded Disability Status Scale (EDSS), score 3: YKL-40 (HR (95% CI): 2.78 (1.48 – 5.23); p = 0.001) and GFAP (HR (95% CI): 1.83 (1.01 – 3.35); p = 0.04). High levels of YKL-40 were associated with earlier progression to EDSS 6 (HR (95% CI): 4.57 (1.01 – 20.83); p = 0.05). Conclusions: CSF levels of NFL in CIS patients are an independent prognostic marker for conversion to CDMS. Whereas, CSF levels of YKL-40 and GFAP are independent prognostic markers for disability progression in MS.
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Affiliation(s)
- M Alba Mañé Martínez
- Joan XXIII University Hospital, Universitat Rovira i Virgili, Tarragona, Spain/Bellvitge University Hospital, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Bob Olsson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Laura Bau
- Bellvitge University Hospital, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Elisabet Matas
- Bellvitge University Hospital, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Álvaro Cobo Calvo
- Bellvitge University Hospital, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Ulf Andreasson
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Lucia Romero-Pinel
- Bellvitge University Hospital, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Sergio Martínez-Yélamos
- Bellvitge University Hospital, Universitat de Barcelona, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Institute of Neurology, University College London, UK
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