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Højsgaard Chow H, Petersen ER, Olsson A, Hejgaard Laursen J, Bredahl Hansen M, Oturai AB, Soelberg Sørensen P, Bach Søndergaard H, Sellebjerg F. Age-corrected neurofilament light chain ratio decreases but does not predict relapse in highly active multiple sclerosis patients initiating natalizumab treatment. Mult Scler Relat Disord 2024; 88:105701. [PMID: 38889559 DOI: 10.1016/j.msard.2024.105701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Revised: 02/23/2024] [Accepted: 06/02/2024] [Indexed: 06/20/2024]
Abstract
BACKGROUND Neurofilament light chain (NFL) is a biomarker for monitoring disease activity and treatment response in multiple sclerosis (MS). However, while most agree that NFL levels predict disease activity and worsening, the predictive value of NFL on future relapse risk remains uncertain. OBJECTIVE The primary aim was to evaluate the predictive value of age-corrected serum NFL (sNFL) ratio on relapse risk in highly active relapsing-remitting MS patients (RRMS) treated with natalizumab. A secondary aim was to investigate the predictive value of sNFL ratios for MRI activity. METHODS From January 1, 2006, to December 31, 2010, 355 patients initiated natalizumab treatment at the Danish Multiple Sclerosis Center. 305 patients were anti-natalizumab antibodies negative and had at least one blood sample available for sNFL analysis using single molecule array analysis at baseline, three, six, or 12 months. The patients were either treatment-naïve (n = 8), switching from interferon-β or glatiramer acetate (n = 253), or switching from mitoxantrone (n = 44). An age-corrected ratio was calculated for sNFL. Time to first relapse was calculated from baseline and after re-baseline at 90 days. Data were collected from baseline until the two-year follow-up or end of treatment and included disease duration, expanded disability status scale, previous treatments, relapses 12 months prior to natalizumab initiation, smoking intensity, body mass index, and body weight. In addition, the patients underwent annual MRI of the brain. RESULTS The sNFL ratio was increased in 173 of 287 samples (60.3 %) at baseline, in 119 of 246 samples (48.8 %) at month three, in 109 of 287 samples (38.0 %) at month six, and in 82 of 270 samples (30.4 %) at month 12. The sNFL ratio continuously declined over 12 months with significant decreases for every measuring timepoint: baseline vs. three months p = 3.0 × 10-6; three months vs. six months p = 3.2 × 10-5; six months vs. 12 months p = 0.002. Univariate Cox regression analysis showed that time to first relapse from 1) natalizumab initiation and from 2) re-baseline was associated with the number of relapses in the previous 12 months (hazard ratio 1.31 per relapse, 95 % CI = 1.2-1.5, p = 2.0 × 10-6; and 1.21 per relapse, 95 % CI = 1.1-1.4, p = 0.002, respectively). sNFL ratio at re-baseline was negatively associated with relapse risk (hazard ratio 0.82 per unit; 95 % CI = 0.7-1.0; p = 0.049). A multivariable Cox regression analysis of relapse risk from re-baseline showed that the number of relapses in the 12 months prior to natalizumab treatment (hazard ratio 1.29; 95 % CI = 1.1-1.5; p = 6.0 × 10-4) and smoking (hazard ratio 1.51 per 20 cigarettes per day; 95 % CI = 1.0-2.2; p = 0.030) were associated with increased risk of relapse; sNFL ratio was associated with a lower risk of relapse (hazard ratio = 0.736 per unit; 95 % CI = 0.6-0.9 p = 0.007). In univariate logistic regression analyses, the sNFL ratio at 12 months and values above the 75th and the 90th percentile predicted MRI activity in the following year (odds ratio [OR] = 2.0, 95 % CI = 1.2-3.6, p = 0.012; OR = 2.2, 95 % CI = 1.2-4.1, p = 0.014; and OR = 2.8, 95 % CI = 1.1-6.7, p = 0.026). CONCLUSION In this highly active RRMS cohort, high sNFL ratios reflected previous relapse activity and decreased after initiation of treatment but were not associated with increased relapse risk in the following two years. Pre-treatment relapses and smoking on treatment were predictors of relapse risk after re-baselining at 90 days. MRI activity in year two was predicted by sNFL ratios at month 12.
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Affiliation(s)
- Helene Højsgaard Chow
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark.
| | - Eva Rosa Petersen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Anna Olsson
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Julie Hejgaard Laursen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Malene Bredahl Hansen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Annette Bang Oturai
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Per Soelberg Sørensen
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Helle Bach Søndergaard
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
| | - Finn Sellebjerg
- Danish Multiple Sclerosis Center, Department of Neurology, Copenhagen University Hospital - Rigshospitalet, Glostrup, Denmark
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He K, Zhao Z, Zhang J, Li D, Wang S, Liu Q. Cholesterol Metabolism in Neurodegenerative Diseases. Antioxid Redox Signal 2024. [PMID: 38842175 DOI: 10.1089/ars.2024.0674] [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: 06/07/2024]
Abstract
Significance: Cholesterol plays a crucial role in the brain, where it is highly concentrated and tightly regulated to support normal brain functions. It serves as a vital component of cell membranes, ensuring their integrity, and acts as a key regulator of various brain processes. Dysregulation of cholesterol metabolism in the brain has been linked to impaired brain function and the onset of neurodegenerative diseases such as Alzheimer's disease (AD), Parkinson's disease, and Huntington's disease. Recent Advances: A significant advancement has been the identification of astrocyte-derived apoliprotein E as a key regulator of de novo cholesterol biosynthesis in neurons, providing insights into how extracellular signals influence neuronal cholesterol levels. In addition, the development of antibody-based therapies, particularly for AD, presents promising opportunities for therapeutic interventions. Critical Issues: Despite significant research, the association between cholesterol and neurodegenerative diseases remains inconclusive. It is crucial to distinguish between plasma cholesterol and brain cholesterol, as these pools are relatively independent. This differentiation should be considered when evaluating statin-based treatment approaches. Furthermore, assessing not only the total cholesterol content in the brain but also its distribution among different types of brain cells is essential. Future Direction: Establishing a causal link between changes in brain/plasma cholesterol levels and the onset of brain dysfunction/neurodegenerative diseases remains a key objective. In addition, conducting cell-specific analyses of cholesterol homeostasis in various types of brain cells under pathological conditions will enhance our understanding of cholesterol metabolism in neurodegenerative diseases. Manipulating cholesterol levels to restore homeostasis may represent a novel approach for alleviating neurological symptoms.
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Affiliation(s)
- Keqiang He
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Zhiwei Zhao
- Department of Cardiovascular Surgery, the First Affiliated Hospital of USTC, Hefei National Laboratory for Physical Sciences at the Microscale, Division of Life Sciences and Medicine, University of Science and Technology of China
| | - Juan Zhang
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
- CAS Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Dingfeng Li
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
- CAS Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
| | - Sheng Wang
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
| | - Qiang Liu
- Department of Anesthesiology, The First Affiliated Hospital of USTC, Center for Advanced Interdisciplinary Science and Biomedicine of IHM, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei 230001, China
- Department of Neurology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Hefei National Research Center for Physical Sciences at the Microscale, University of Science and Technology of China, Hefei, China
- CAS Key Laboratory of Brain Function and Diseases, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
- Institute on Aging and Brain Disorders, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, China
- Neurodegenerative Disorder Research Center, Anhui Province Key Laboratory of Biomedical Aging Research, University of Science and Technology of China, Hefei, China
- Key Laboratory of Immune Response and Immunotherapy, University of Science and Technology of China, Hefei, China
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Rosenstein I, Nordin A, Sabir H, Malmeström C, Blennow K, Axelsson M, Novakova L. Association of serum glial fibrillary acidic protein with progression independent of relapse activity in multiple sclerosis. J Neurol 2024; 271:4412-4422. [PMID: 38668889 PMCID: PMC11233378 DOI: 10.1007/s00415-024-12389-y] [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: 02/29/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 07/10/2024]
Abstract
OBJECTIVE Insidious disability worsening is a common feature in relapsing-remitting multiple sclerosis (RRMS). Many patients experience progression independent of relapse activity (PIRA) despite being treated with high efficacy disease-modifying therapies. We prospectively investigated associations of body-fluid and imaging biomarkers with PIRA. METHODS Patients with early RRMS (n = 104) were prospectively included and followed up for 60 months. All patients were newly diagnosed and previously untreated. PIRA was defined using a composite score including the expanded disability status scale, 9-hole peg test, timed 25 foot walk test, and the symbol digit modalities test. Eleven body fluid and imaging biomarkers were determined at baseline and levels of serum neurofilament light (sNfL) and glial fibrillary acidic protein (sGFAP) were also measured annually thereafter. Association of baseline biomarkers with PIRA was investigated in multivariable logistic regression models adjusting for clinical and demographic confounding factors. Longitudinal serum biomarker dynamics were investigated in mixed effects models. RESULTS Only sGFAP was significantly higher in PIRA at baseline (median [IQR] 73.9 [60.9-110.1] vs. 60.3 [45.2-79.9], p = 0.01). A cut-off of sGFAP > 65 pg/mL resulted in a sensitivity of 68% and specificity of 61%, to detect patients at higher risk of PIRA. In a multivariable logistic regression, sGFAP > 65 pg/mL was associated with higher odds of developing PIRA (odds ratio 4.3, 95% CI 1.44-12.86, p = 0.009). Repeated measures of sGFAP levels showed that patients with PIRA during follow-up had higher levels of sGFAP along the whole follow-up compared to stable patients (p < 0.001). CONCLUSION Determination of sGFAP at baseline and follow-up may be useful in capturing disability accrual independent of relapse activity in early RRMS.
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Affiliation(s)
- Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden.
- Department of Neurology, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden.
| | - Anna Nordin
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
| | - Hemin Sabir
- Department of Neurology, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Clas Malmeström
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
- Department of Neurology, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, 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, People's Republic of China
| | - Markus Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
- Department of Neurology, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Lenka Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
- Department of Neurology, Region Västra Götaland, Sahlgrenska University Hospital, Mölndal, Sweden
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Woo MS, Engler JB, Friese MA. The neuropathobiology of multiple sclerosis. Nat Rev Neurosci 2024; 25:493-513. [PMID: 38789516 DOI: 10.1038/s41583-024-00823-z] [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: 04/30/2024] [Indexed: 05/26/2024]
Abstract
Chronic low-grade inflammation and neuronal deregulation are two components of a smoldering disease activity that drives the progression of disability in people with multiple sclerosis (MS). Although several therapies exist to dampen the acute inflammation that drives MS relapses, therapeutic options to halt chronic disability progression are a major unmet clinical need. The development of such therapies is hindered by our limited understanding of the neuron-intrinsic determinants of resilience or vulnerability to inflammation. In this Review, we provide a neuron-centric overview of recent advances in deciphering neuronal response patterns that drive the pathology of MS. We describe the inflammatory CNS environment that initiates neurotoxicity by imposing ion imbalance, excitotoxicity and oxidative stress, and by direct neuro-immune interactions, which collectively lead to mitochondrial dysfunction and epigenetic dysregulation. The neuronal demise is further amplified by breakdown of neuronal transport, accumulation of cytosolic proteins and activation of cell death pathways. Continuous neuronal damage perpetuates CNS inflammation by activating surrounding glia cells and by directly exerting toxicity on neighbouring neurons. Further, we explore strategies to overcome neuronal deregulation in MS and compile a selection of neuronal actuators shown to impact neurodegeneration in preclinical studies. We conclude by discussing the therapeutic potential of targeting such neuronal actuators in MS, including some that have already been tested in interventional clinical trials.
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Affiliation(s)
- Marcel S Woo
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Jan Broder Engler
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany
| | - Manuel A Friese
- Institut für Neuroimmunologie und Multiple Sklerose, Zentrum für Molekulare Neurobiologie Hamburg, Universitätsklinikum Hamburg-Eppendorf, Hamburg, Germany.
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Barrero Hernández FJ, Romero Villarrubia A, Muñoz Fernández C, Guillén Martinez V, Aguilera Del Moral A, Barrios-López JM, Ramírez Rivas MA, Gálvez Muñoz AJ, Piñar Morales R. Real-World Study of Serum Neurofilament Light Chain Levels in Ocrelizumab-Treated People with Relapsing Multiple Sclerosis. J Pers Med 2024; 14:692. [PMID: 39063946 PMCID: PMC11277843 DOI: 10.3390/jpm14070692] [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: 05/29/2024] [Revised: 06/24/2024] [Accepted: 06/25/2024] [Indexed: 07/28/2024] Open
Abstract
Serum neurofilament light chain (sNfL) levels have been proposed as a biomarker of the clinical activity, disability progression, and response to treatment of people with multiple sclerosis (PwMS); however, questions remain about its implementation in clinical practice. Ocrelizumab (OCR) has proven effective in improving clinical and radiological outcomes and reducing sNfL levels. This real-life study followed the sNfL levels of 30 PwMS treated for 12 months with OCR and evaluated the usefulness of this biomarker for their short-term prognosis, considering expanded disability status scale (EDSS), annualized relapse rate (ARR), radiological activity, and NEDA-3 values. OCR reduced ARR in 83% of PwMS and radiological activity in 80%. EDSS was maintained, while NEDA-3 was achieved in 70% at 12 months. OCR produced an early reduction in sNfL levels (at 3 months). At baseline, greater MRI-evaluated radiological activity was associated with higher sNfL levels. sNfL levels over the first 12 months of treatment did not predict a suboptimal response or sustained control of the disease. Longer-term studies are needed to explore the predictive usefulness of sNfL levels in PwMS treated with high-efficacy drugs.
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Affiliation(s)
- Francisco J. Barrero Hernández
- Neurology Unit, University Hospital Clinic San Cecilio, 18016 Granada, Spain; (M.A.R.R.); (R.P.M.)
- Instituto de Investigación Biosanitaria ibs.Granada, 18012 Granada, Spain
- Departament of Medicine, University of Granada, 18016 Granada, Spain
| | - Ana Romero Villarrubia
- Neurology Unit, University Hospital Virgen de las Nieves, 18014 Granada, Spain; (A.R.V.); (V.G.M.); (J.M.B.-L.)
| | - Carmen Muñoz Fernández
- Neurology Unit, University Hospital Torrecárdenas, 04009 Almeria, Spain; (C.M.F.); (A.A.D.M.)
| | - Virginia Guillén Martinez
- Neurology Unit, University Hospital Virgen de las Nieves, 18014 Granada, Spain; (A.R.V.); (V.G.M.); (J.M.B.-L.)
| | | | - José María Barrios-López
- Neurology Unit, University Hospital Virgen de las Nieves, 18014 Granada, Spain; (A.R.V.); (V.G.M.); (J.M.B.-L.)
| | - Maria A. Ramírez Rivas
- Neurology Unit, University Hospital Clinic San Cecilio, 18016 Granada, Spain; (M.A.R.R.); (R.P.M.)
| | - Antonio J. Gálvez Muñoz
- Statistical Advisor and Methodology, Foundation for Biosanitary Research of Eastern Andalusia: FIBAO, 18016 Granada, Spain;
| | - Raquel Piñar Morales
- Neurology Unit, University Hospital Clinic San Cecilio, 18016 Granada, Spain; (M.A.R.R.); (R.P.M.)
- Instituto de Investigación Biosanitaria ibs.Granada, 18012 Granada, Spain
- Departament of Medicine, University of Granada, 18016 Granada, Spain
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Ayrignac X, Aouinti S, Vincent T, Carra-Dallière C, Charif M, Duflos C, Hirtz C, Dos Santos A, Menjot de Champfleur N, Labauge P, Lehmann S. Serum NfL and GFAP are weak predictors of long-term multiple sclerosis prognosis: A 6-year follow-up. Mult Scler Relat Disord 2024; 89:105747. [PMID: 39053395 DOI: 10.1016/j.msard.2024.105747] [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: 08/26/2023] [Revised: 06/19/2024] [Accepted: 06/23/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) are promising biomarkers that might be associated with clinical and radiological markers of multiple sclerosis (MS) severity. However, it is not known whether they can accurately identify patients at risk of disability progression in the medium and long term. OBJECTIVES We wanted to determine the association between sNfL and sGFAP, Expanded Disability Status Scale score changes, and conversion to secondary progressive MS (SPMS) in a cohort of 133 patients with relapsing remitting MS. METHODS Blood samples were collected at inclusion to measure SNfL and sGFAP by single molecule array and their prognostic value was assessed using a linear mixed model. RESULTS In this cohort, 37 patients (27.8 % of 133) experienced disability progression and 12 patients (9.0 %) converted to SPMS during the follow-up (mean follow-up duration: 6.4 years). Only sNfL (p = 0.03) was associated with conversion to SPMS, and neither SNfL nor sGFAP was associated with disability progression. CONCLUSION Serum NfL and GFAP do not seem to accurately predict MS outcome in the long term. More studies are needed to determine how serum biomarkers, associated with other clinical and MRI biomarkers, might be used to improve MS prognostication.
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Affiliation(s)
- Xavier Ayrignac
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France.
| | - Safa Aouinti
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Thierry Vincent
- University of Montpellier, INM, INSERM, CHU Montpellier, Department of Immunology, CHU Montpellier, Montpellier, France
| | - Clarisse Carra-Dallière
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France
| | - Mahmoud Charif
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France
| | - Claire Duflos
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Christophe Hirtz
- University of Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France
| | | | - Nicolas Menjot de Champfleur
- University of Montpellier, INSERM, CHU Montpellier, CNRS, Department of Neuroradiology, CHU Montpellier, Montpellier, France
| | - Pierre Labauge
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France
| | - Sylvain Lehmann
- University of Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France
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Schaller-Paule MA, Maiworm M, Schäfer JH, Friedauer L, Hattingen E, Wenger KJ, Weber F, Jakob J, Steffen F, Bittner S, Yalachkov Y, Foerch C. Matching proposed clinical and MRI criteria of aggressive multiple sclerosis to serum and cerebrospinal fluid markers of neuroaxonal and glial injury. J Neurol 2024; 271:3512-3526. [PMID: 38536455 PMCID: PMC11136815 DOI: 10.1007/s00415-024-12299-z] [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: 10/26/2023] [Revised: 02/15/2024] [Accepted: 03/04/2024] [Indexed: 05/30/2024]
Abstract
BACKGROUND Definitions of aggressive MS employ clinical and MR imaging criteria to identify highly active, rapidly progressing disease courses. However, the degree of overlap between clinical and radiological parameters and biochemical markers of CNS injury is not fully understood. Aim of this cross-sectional study was to match clinical and MR imaging hallmarks of aggressive MS to serum/CSF markers of neuroaxonal and astroglial injury (neurofilament light chain (sNfL, cNfL), and glial fibrillary acidic protein (sGFAP, cGFAP)). METHODS We recruited 77 patients with relapsing-remitting MS (RRMS) and 22 patients with clinically isolated syndrome. NfL and GFAP levels in serum and CSF were assessed using a single-molecule-array HD-1-analyzer. A general linear model with each biomarker as a dependent variable was computed. Clinical and imaging criteria of aggressive MS, as recently proposed by the ECTRIMS Consensus Group, were modeled as independent variables. Other demographic, clinical or laboratory parameters, were modeled as covariates. Analyses were repeated in a homogenous subgroup, consisting only of newly diagnosed, treatment-naïve RRMS patients presenting with an acute relapse. RESULTS After adjusting for covariates and multiplicity of testing, sNfL and cNfL concentrations were strongly associated with the presence of ≥2 gadolinium-enhancing lesions (psNfL = 0.00008; pcNfL = 0.004) as well as the presence of infratentorial lesions on MRI (psNfL = 0.0003; pcNfL < 0.004). No other clinical and imaging criteria of aggressive MS correlated significantly with NfL or GFAP in serum and CSF. In the more homogeneous subgroup, sNfL still was associated with the presence of ≥2 gadolinium-enhancing lesions (psNfL = 0.001), presence of more than 20 T2-lesions (psNfL = 0.049) as well as the presence of infratentorial lesions on MRI (psNfL = 0.034), while cNfL was associated with the presence of ≥2 gadolinium-enhancing lesions (psNfL = 0.011) and presence of more than 20 T2-lesions (psNfL = 0.029). CONCLUSIONS Among proposed risk factors for an aggressive disease course, MRI findings but not clinical characteristics correlated with sNfL and cNfL as a marker of neuroaxonal injury and should be given appropriate weight considering MS prognosis and therapy. No significant correlation was detected for GFAP alone.
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Affiliation(s)
- Martin A Schaller-Paule
- Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany.
- Practice for Neurology and Psychiatry Eltville, 65343, Eltville, Germany.
| | - Michelle Maiworm
- Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany
| | - Jan Hendrik Schäfer
- Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany
| | - Lucie Friedauer
- Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany
| | - Elke Hattingen
- Institute of Neuroradiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | - Katharina Johanna Wenger
- Institute of Neuroradiology, University Hospital Frankfurt, Goethe University Frankfurt, Frankfurt, Germany
| | | | - Jasmin Jakob
- 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
| | - Falk Steffen
- 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
| | - 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
| | - Yavor Yalachkov
- Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany
| | - Christian Foerch
- Department of Neurology, University Hospital Frankfurt, Goethe University Frankfurt, Schleusenweg 2-16, 60528, Frankfurt, Germany
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Fox RJ, Cree BAC, de Sèze J, Gold R, Hartung HP, Jeffery D, Kappos L, Montalban X, Weinstock-Guttman B, Singh CM, Altincatal A, Belviso N, Avila RL, Ho PR, Su R, Engle R, Sangurdekar D, de Moor C, Fisher E, Kieseier BC, Rudick RA. Temporal Relationship Between Serum Neurofilament Light Chain and Radiologic Disease Activity in Patients With Multiple Sclerosis. Neurology 2024; 102:e209357. [PMID: 38648580 PMCID: PMC11175646 DOI: 10.1212/wnl.0000000000209357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 02/22/2024] [Indexed: 04/25/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Serum neurofilament light chain (sNfL) levels correlate with multiple sclerosis (MS) disease activity, but the dynamics of this correlation are unknown. We evaluated the relationship between sNfL levels and radiologic MS disease activity through monthly assessments during the 24-week natalizumab treatment interruption period in RESTORE (NCT01071083). METHODS In the RESTORE trial, participants with relapsing forms of MS who had received natalizumab for ≥12 months were randomized to either continue or stop natalizumab and followed with MRI and blood draws every 4 weeks to week 28 and again at week 52 The sNfL was measured, and its dynamics were correlated with the development of gadolinium-enhancing (Gd+) lesions. Log-linear trend in sNfL levels were modeled longitudinally using generalized estimating equations with robust variance estimator from baseline to week 28. RESULTS Of 175 patients enrolled in RESTORE, 166 had serum samples for analysis. Participants with Gd+ lesions were younger (37.7 vs 43.1, p = 0.001) and had lower Expanded Disability Status Scale scores at baseline (2.7 vs 3.4, p = 0.017) than participants without Gd+ lesions. sNfL levels increased in participants with Gd+ lesions (n = 65) compared with those without (n = 101, mean change from baseline to maximum sNfL value, 12.1 vs 3.2 pg/mL, respectively; p = 0.003). As the number of Gd+ lesions increased, peak median sNfL change also increased by 1.4, 3.0, 4.3, and 19.6 pg/mL in the Gd+ lesion groups of 1 (n = 12), 2-3 (n = 18), 4-9 (n = 21), and ≥10 (n = 14) lesions, respectively. However, 46 of 65 (71%) participants with Gd+ lesions did not increase above the 95th percentile threshold of the group without Gd+ lesions. The initial increase of sNfL typically trailed the first observation of Gd+ lesions, and the peak increase in sNfL was a median [interquartile range] of 8 [0, 12] weeks after the first appearance of the Gd+ lesion. DISCUSSION Although sNfL correlated with the presence of Gd+ lesions, most participants with Gd+ lesions did not have elevations in sNfL levels. These observations have implications for the use and interpretation of sNfL as a biomarker for monitoring MS disease activity in controlled trials and clinical practice.
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Affiliation(s)
- Robert J Fox
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Bruce A C Cree
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Jérôme de Sèze
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Ralf Gold
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Hans-Peter Hartung
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Douglas Jeffery
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Ludwig Kappos
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Xavier Montalban
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Bianca Weinstock-Guttman
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Carol M Singh
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Arman Altincatal
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Nicholas Belviso
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Robin L Avila
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Pei-Ran Ho
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Ray Su
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Robert Engle
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Dipen Sangurdekar
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Carl de Moor
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Elizabeth Fisher
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Bernd C Kieseier
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
| | - Richard A Rudick
- From the Mellen Center for Multiple Sclerosis (R.J.F.), Neurological Institute, Cleveland Clinic, OH; Department of Neurology (B.A.C.C.), Weill Institute for Neurosciences, University of California San Francisco; Department of Neurology (J.S.), Hôpital Civil, Strasbourg, France; Department of Neurology (R.G.), St. Josef Hospital, Ruhr University, Bochum, Germany; Department of Neurology (H.-P.H.), Heinrich Heine University, Düsseldorf, Germany; Brain and Mind Center, University of Sydney, Australia; Department of Neurology, Palacky University Olomouc, Czech Republic; Piedmont HealthCare (D.J.), Mooresville, NC; Research Center for Clinical Neuroimmunology and Neuroscience and MS Center (L.K.); Departments of Head, Spine and Neuromedicine, Clinical Research and Biomedical Engineering, University Hospital and University of Basel, Switzerland; Vall d'Hebron University Hospital (X.M.), Barcelona, Spain; Jacobs Multiple Sclerosis Center and Pediatric Multiple Sclerosis Center of Excellence (B.W.-G.), Jacobs School of Medicine and Biomedical Sciences, Buffalo, NY; and Biogen (C.M.S., A.A., N.B., R.L.A., P.-R.H., R.S., R.E., D.S., C.M., E.F., B.C.K., R.A.R.), Cambridge, MA
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Wang X, Qu Y, Fan J, Ren H. Serum NfL and EGFR/NfL ratio mRNAs as biomarkers for phenotype and disease severity of myelin oligodendrocyte glycoprotein IgG-associated disease. Front Immunol 2024; 15:1388734. [PMID: 38807603 PMCID: PMC11130348 DOI: 10.3389/fimmu.2024.1388734] [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: 02/20/2024] [Accepted: 04/26/2024] [Indexed: 05/30/2024] Open
Abstract
Background and purpose Myelin oligodendrocyte glycoprotein (MOG) IgG is frequently elevated in pediatric patients with acquired demyelinating syndrome (ADS). However, no specific biomarkers exist for phenotype classification, symptom severity, prognosis, and treatment guidance of MOG-IgG-associated disease (MOGAD). This study evaluated neurofilament light chain (NfL) and endothelial growth factor receptor (EGFR) mRNA expression levels in serum and cerebrospinal fluid (CSF) as potential biomarkers for MOGAD in Chinese children. Methods This was a cross-sectional and single-center study. We enrolled 22 consecutive pediatric patients hospitalized with MOGAD and 20 control pediatric patients hospitalized for noninflammatory neurological diseases in Hebei Children's Hospital. Serum and CSF were collected from MOGAD patients within 3 days before immunotherapy. The mRNA levels of NfL and EGFR in serum and CSF were measured by real-time polymerase chain reaction (qPCR), and the EGFR/NfL ratio mRNA was calculated. These measurement values were then compared between disease groups and among MOGAD phenotypes. In addition, the correlations between the mRNAs of three markers (NfL, EGFR, EGFR/NfL ratio), extended disability status scale (EDSS) scores, and clinical phenotypes were analyzed. Results Serum and CSF NfL mRNA levels were significantly higher of acute-stage MOGAD patients than those of control patients (p< 0.05 and p< 0.01, respectively), while the mRNA levels of serum EGFR and EGFR/NfL ratio were significantly lower of MOGAD patients than those of controls (p < 0.05, p < 0.0001). Serum NfL mRNA was significantly correlated with mRNA of serum EGFR (r =0.480, p < 0.05). Serum and CSF NfL mRNA levels in MOGAD patients with the ADEM-like phenotype were also significantly higher than those in control patients (p < 0.01, p < 0.01) and optic neuritis (ON) phenotype (p < 0.05, p < 0.05). Both mRNAs of NfL in CSF and EGFR/NfL ratio in serum were correlated with EDSS scores (p < 0.05, r = 0.424; p < 0.05, r= -0.521). Conclusion The mRNA levels of elevated NfL in serum and CSF as well as lower EGFR and EGFR/NfL ratio in serum could help distinguish acute-phase MOGAD. Higher mRNA levels of NfL in serum and CSF of MOGAD patients help distinguish ADEM-like phenotype. In addition, serum EGFR/NfL mRNA ratio is indicative of disease severity in pediatric patients with MOGAD. Further investigations are warranted to elucidate the pathological mechanisms underlying these associations.
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Affiliation(s)
- Xin Wang
- Second Department of Neurology, Hebei Children’s Hospital, Shijiazhuang, China
| | - Yi Qu
- Department of Science and Education, Hebei Children’s Hospital, Shijiazhuang, China
| | - Jiayu Fan
- Second Department of Neurology, Hebei Children’s Hospital, Shijiazhuang, China
| | - Huiqiang Ren
- Department of Pathology, Hebei Children’s Hospital, Shijiazhuang, China
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10
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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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11
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Schilke ED, Remoli G, Funelli E, Galimberti M, Fusco ML, Cereda D, Balducci C, Frigo M, Cavaletti G. Current use of fluid biomarkers as outcome measures in Multiple Sclerosis (MS): a review of ongoing pharmacological clinical trials. Neurol Sci 2024; 45:1931-1944. [PMID: 38117403 PMCID: PMC11021285 DOI: 10.1007/s10072-023-07228-3] [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: 07/10/2023] [Accepted: 11/25/2023] [Indexed: 12/21/2023]
Abstract
The present study aims to describe the state of the art of fluid biomarkers use in ongoing multiple sclerosis (MS) clinical trials.A review of 608 ongoing protocols in the clinicaltrials.gov and EudraCT databases was performed. The trials enrolled patients with a diagnosis of relapsing remitting MS, secondary progressive MS, and/or primary progressive MS according to Revised McDonald criteria or relapsing MS according to Lublin et al. (2014). The presence of fluid biomarkers among the primary and/or secondary study outcomes was assessed.Overall, 5% of ongoing interventional studies on MS adopted fluid biomarkers. They were mostly used as secondary outcomes in phase 3-4 clinical trials to support the potential disease-modifying properties of the intervention. Most studies evaluated neurofilament light chains (NfLs). A small number considered other novel fluid biomarkers of neuroinflammation and neurodegeneration such as glial fibrillary acid protein (GFAP).Considering the numerous ongoing clinical trials in MS, still a small number adopted fluid biomarkers as outcome measures, thus testifying the distance from clinical practice. In most protocols, fluid biomarkers were used to evaluate the effectiveness of approved second-line therapies, but also, new drugs (particularly Bruton kinase inhibitors). NfLs were also adopted to monitor disease progression after natalizumab suspension in stable patients, cladribine efficacy after anti-CD20 discontinuation, and the efficacy of autologous hematopoietic stem cell transplant (AHSCT) compared to medical treatment. Nevertheless, further validation studies are needed for all considered fluid biomarkers to access clinical practice, and cost-effectiveness in the "real word" remains to be clarified.
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Affiliation(s)
- Edoardo Dalmato Schilke
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy.
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy.
| | - Giulia Remoli
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Eugenio Funelli
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Michela Galimberti
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Maria Letizia Fusco
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Diletta Cereda
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Claudia Balducci
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Maura Frigo
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
| | - Guido Cavaletti
- Neurology Department, Fondazione IRCCS San Gerardi dei Tintori, Monza, Italy
- School of Medicine and Surgery and Milan Centre for Neuroscience (NeuroMI), University of Milano-Bicocca, Milan, Italy
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12
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Monreal E, Ruiz PD, San Román IL, Rodríguez-Antigüedad A, Moya-Molina MÁ, Álvarez A, García-Arcelay E, Maurino J, Shepherd J, Cabrera ÁP, Villar LM. Value contribution of blood-based neurofilament light chain as a biomarker in multiple sclerosis using multi-criteria decision analysis. Front Public Health 2024; 12:1397845. [PMID: 38711771 PMCID: PMC11073490 DOI: 10.3389/fpubh.2024.1397845] [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: 03/08/2024] [Accepted: 04/11/2024] [Indexed: 05/08/2024] Open
Abstract
Introduction Multiple sclerosis (MS) is a chronic autoimmune demyelinating disease that represents a leading cause of non-traumatic disability among young and middle-aged adults. MS is characterized by neurodegeneration caused by axonal injury. Current clinical and radiological markers often lack the sensitivity and specificity required to detect inflammatory activity and neurodegeneration, highlighting the need for better approaches. After neuronal injury, neurofilament light chains (NfL) are released into the cerebrospinal fluid, and eventually into blood. Thus, blood-based NfL could be used as a potential biomarker for inflammatory activity, neurodegeneration, and treatment response in MS. The objective of this study was to determine the value contribution of blood-based NfL as a biomarker in MS in Spain using the Multi-Criteria Decision Analysis (MCDA) methodology. Materials and methods A literature review was performed, and the results were synthesized in the evidence matrix following the criteria included in the MCDA framework. The study was conducted by a multidisciplinary group of six experts. Participants were trained in MCDA and scored the evidence matrix. Results were analyzed and discussed in a group meeting through reflective MCDA discussion methodology. Results MS was considered a severe condition as it is associated with significant disability. There are unmet needs in MS as a disease, but also in terms of biomarkers since no blood biomarker is available in clinical practice to determine disease activity, prognostic assessment, and response to treatment. The results of the present study suggest that quantification of blood-based NfL may represent a safe option to determine inflammation, neurodegeneration, and response to treatments in clinical practice, as well as to complement data to improve the sensitivity of the diagnosis. Participants considered that blood-based NfL could result in a lower use of expensive tests such as magnetic resonance imaging scans and could provide cost-savings by avoiding ineffective treatments. Lower indirect costs could also be expected due to a lower impact of disability consequences. Overall, blood-based NfL measurement is supported by high-quality evidence. Conclusion Based on MCDA methodology and the experience of a multidisciplinary group of six stakeholders, blood-based NfL measurement might represent a high-value-option for the management of MS in Spain.
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Affiliation(s)
- Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria, Red Española de Esclerosis Múltiple, Red de Enfermedades Inflamatorias, Universidad de Alcalá, Madrid, Spain
| | - Pilar Díaz Ruiz
- Department of Pharmacy, Hospital Nuestra Señora de Candelaria, Tenerife, Spain
| | | | | | | | | | | | | | | | | | - Luisa María Villar
- Department of Immunology, Hospital Universitario Ramón y Cajal, IRYCIS, Madrid, Spain
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13
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Chatanaka MK, Avery LM, Pasic MD, Sithravadivel S, Rotstein D, Demos C, Cohen R, Gorham T, Wang M, Stengelin M, Mathew A, Sigal G, Wohlstadter J, Prassas I, Diamandis EP. The relationship between serum astroglial and neuronal markers and AQP4 and MOG autoantibodies. Clin Proteomics 2024; 21:28. [PMID: 38580905 PMCID: PMC10998414 DOI: 10.1186/s12014-024-09466-9] [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: 11/24/2023] [Accepted: 02/14/2024] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Certain demyelinating disorders, such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) exhibit serum autoantibodies against aquaporin-4 (αAQP4) and myelin oligodendrocyte glycoprotein (αMOG). The variability of the autoantibody presentation warrants further research into subtyping each case. METHODS To elucidate the relationship between astroglial and neuronal protein concentrations in the peripheral circulation with occurrence of these autoantibodies, 86 serum samples were analyzed using immunoassays. The protein concentration of glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL) and tau protein was measured in 3 groups of subcategories of suspected NMOSD: αAQP4 positive (n = 20), αMOG positive (n = 32) and αMOG/αAQP4 seronegative (n = 34). Kruskal-Wallis analysis, univariate predictor analysis, and multivariate logistic regression with ROC curves were performed. RESULTS GFAP and NFL concentrations were significantly elevated in the αAQP4 positive group (p = 0.003; p = 0.042, respectively), and tau was elevated in the αMOG/αAQP4 seronegative group (p < 0.001). A logistic regression model to classify serostatus was able to separate αAQP4 seropositivity using GFAP + tau, and αMOG seropositivity using tau. The areas under the ROC curves (AUCs) were 0.77 and 0.72, respectively. Finally, a combined seropositivity versus negative status logistic regression model was generated, with AUC = 0.80. CONCLUSION The 3 markers can univariately and multivariately classify with moderate accuracy the samples with seropositivity and seronegativity for αAQP4 and αMOG.
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Affiliation(s)
- Miyo K Chatanaka
- Department of Laboratory and Medicine Pathobiology, University of Toronto, 60 Murray St. Box 32, Floor 6, Rm L6-201, Toronto, ON, M5T 3L9, Canada
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Lisa M Avery
- Biostatistics Division, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
- Department of Biostatistics, The Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada
| | - Maria D Pasic
- Department of Laboratory and Medicine Pathobiology, University of Toronto, 60 Murray St. Box 32, Floor 6, Rm L6-201, Toronto, ON, M5T 3L9, Canada
- Department of Laboratory Medicine, St. Joseph's Health Centre, Unity Health Toronto, Toronto, Canada
| | - Shanthan Sithravadivel
- Department of Laboratory Medicine, St. Joseph's Health Centre, Unity Health Toronto, Toronto, Canada
| | | | | | | | | | | | | | - Anu Mathew
- Meso Scale Diagnostics, LLC, Rockville, MD, USA
| | | | | | - Ioannis Prassas
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada
| | - Eleftherios P Diamandis
- Laboratory Medicine Program, University Health Network, Toronto, ON, Canada.
- Lunenfeld- Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, ON, Canada.
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14
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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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15
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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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16
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Kuhle J, Leppert D, Comi G, de Stefano N, Kappos L, Freedman MS, Seitzinger A, Roy S. Serum neurofilament light chain correlations in patients with a first clinical demyelinating event in the REFLEX study: a post hoc analysis. Ther Adv Neurol Disord 2024; 17:17562864241239101. [PMID: 38560407 PMCID: PMC10981258 DOI: 10.1177/17562864241239101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2023] [Accepted: 02/14/2024] [Indexed: 04/04/2024] Open
Abstract
Background In REFLEX, subcutaneous interferon beta-1a (sc IFN β-1a) delayed the onset of multiple sclerosis (MS) in patients with a first clinical demyelinating event (FCDE). Objectives This post hoc analysis aimed to determine whether baseline serum neurofilament light (sNfL) chain can predict conversion to MS and whether correlations exist between baseline sNfL and magnetic resonance imaging (MRI) metrics. Methods sNfL was measured for 494 patients who received sc IFN β-1a 44 μg once weekly (qw; n = 168), three times weekly (tiw; n = 161), or placebo (n = 165) over 24 months. Median baseline sNfL (26.1 pg/mL) was used to define high/low sNfL subgroups. Hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using Cox's proportional hazard model to determine factors influencing the risk of conversion to MS. Kaplan-Meier estimates calculated median time-to-conversion to MS (McDonald 2005 criteria) or clinically definite MS (CDMS; Poser criteria). Correlations between sNfL and MRI findings were assessed using Spearman's rank correlation coefficient (r). Results Multivariable models indicated that high baseline sNfL was associated with the likelihood of converting to MS and inversely to time-to-conversion (HR = 1.3, 95% CI: 1.03-1.64; p = 0.024). Significant additional factors affecting conversion to McDonald MS were on-study treatment (sc IFN β-1a/placebo; qw: HR = 0.59, 95% CI: 0.46-0.76; tiw: HR = 0.45, 95% CI: 0.34-0.59), classification of FCDE (monofocal/multifocal; HR = 0.69, 95% CI: 0.55-0.85), and most baseline imaging findings (T2 and T1 gadolinium-enhancing [Gd+] lesions; HR = 1.02, 95% CI: 1.01-1.03 and HR = 1.07, 95% CI: 1.03-1.11); all p ⩽ 0.001. Conversion to CDMS showed similar results. At month 24, sNfL was strongly correlated with a mean number of combined unique active (r = 0.71), new T2 (r = 0.72), and new T1 Gd+ (r = 0.60) lesions; weak correlations were observed between sNfL and clinical outcomes for all treatment groups. Conclusion Higher baseline sNfL was associated with an increased risk of MS conversion, a risk that was mitigated by treatment with sc IFN β-1a tiw. Trial registration ClinicalTrials.gov identifier: NCT00404352. Date registered: 28 November 2006.
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Affiliation(s)
- Jens Kuhle
- Department of Neurology, University Hospital Basel, Petersgraben 4, Basel CH-4031, Switzerland
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Spitalstrasse 2, Basel CH-4031, Switzerland
| | - 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
| | - Giancarlo Comi
- Casa di Cura Privata del Policlinico, Università Vita-Salute San Raffaele, Milan, Italy
| | - Nicola de Stefano
- Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy
| | - 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
| | - Mark S. Freedman
- Department of Medicine and the Ottawa Hospital Research Institute, University of Ottawa, Ottawa, ON, Canada
| | | | - Sanjeev Roy
- Global Clinical Development – Immunology, Ares Trading S.A. (an affiliate of Merck KGaA), Eysins, Switzerland
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17
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Bavato F, Barro C, Schnider LK, Simrén J, Zetterberg H, Seifritz E, Quednow BB. Introducing neurofilament light chain measure in psychiatry: current evidence, opportunities, and pitfalls. Mol Psychiatry 2024:10.1038/s41380-024-02524-6. [PMID: 38503931 DOI: 10.1038/s41380-024-02524-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/12/2023] [Revised: 02/29/2024] [Accepted: 03/07/2024] [Indexed: 03/21/2024]
Abstract
The recent introduction of new-generation immunoassay methods allows the reliable quantification of structural brain markers in peripheral matrices. Neurofilament light chain (NfL), a neuron-specific cytoskeletal component released in extracellular matrices after neuroaxonal impairment, is considered a promising blood marker of active brain pathology. Given its sensitivity to a wide range of neuropathological alterations, NfL has been suggested for the use in clinical practice as a highly sensitive, but unspecific tool to quantify active brain pathology. While large efforts have been put in characterizing its clinical profile in many neurological conditions, NfL has received far less attention as a potential biomarker in major psychiatric disorders. Therefore, we briefly introduce NfL as a marker of neuroaxonal injury, systematically review recent findings on cerebrospinal fluid and blood NfL levels in patients with primary psychiatric conditions and highlight the opportunities and pitfalls. Current evidence suggests an elevation of blood NfL levels in patients with major depression, bipolar disorder, psychotic disorders, anorexia nervosa, and substance use disorders compared to physiological states. However, blood NfL levels strongly vary across diagnostic entities, clinical stage, and patient subgroups, and are influenced by several demographic, clinical, and analytical factors, which require accurate characterization. Potential clinical applications of NfL measure in psychiatry are seen in diagnostic and prognostic algorithms, to exclude neurodegenerative disease, in the assessment of brain toxicity for different pharmacological compounds, and in the longitudinal monitoring of treatment response. The high inter-individual variability of NfL levels and the lack of neurobiological understanding of its release are some of the main current limitations. Overall, this primer aims to introduce researchers and clinicians to NfL measure in the psychiatric field and to provide a conceptual framework for future research directions.
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Affiliation(s)
- Francesco Bavato
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland.
| | - Christian Barro
- Ann Romney Center for Neurologic Diseases, Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Laura K Schnider
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Joel Simrén
- 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
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI, USA
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
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18
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Jalaleddini K, Jakimovski D, Keshavan A, McCurdy S, Leyden K, Qureshi F, Ghoreyshi A, Bergsland N, Dwyer MG, Ramanathan M, Weinstock-Guttman B, Benedict RH, Zivadinov R. Proteomic signatures of physical, cognitive, and imaging outcomes in multiple sclerosis. Ann Clin Transl Neurol 2024; 11:729-743. [PMID: 38234075 DOI: 10.1002/acn3.51996] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/21/2023] [Accepted: 12/25/2023] [Indexed: 01/19/2024] Open
Abstract
BACKGROUND A quantitative measurement of serum proteome biomarkers that would associate with disease progression endpoints can provide risk stratification for persons with multiple sclerosis (PwMS) and supplement the clinical decision-making process. MATERIALS AND METHODS In total, 202 PwMS were enrolled in a longitudinal study with measurements at two time points with an average follow-up time of 5.4 years. Clinical measures included the Expanded Disability Status Scale, Timed 25-foot Walk, 9-Hole Peg, and Symbol Digit Modalities Tests. Subjects underwent magnetic resonance imaging to determine the volumetric measures of the whole brain, gray matter, deep gray matter, and lateral ventricles. Serum samples were analyzed using a custom immunoassay panel on the Olink™ platform, and concentrations of 18 protein biomarkers were measured. Linear mixed-effects models and adjustment for multiple comparisons were performed. RESULTS Subjects had a significant 55.6% increase in chemokine ligand 20 (9.7 pg/mL vs. 15.1 pg/mL, p < 0.001) and neurofilament light polypeptide (10.5 pg/mL vs. 11.5 pg/mL, p = 0.003) at the follow-up time point. Additional changes in CUB domain-containing protein 1, Contactin 2, Glial fibrillary acidic protein, Myelin oligodendrocyte glycoprotein, and Osteopontin were noted but did not survive multiple comparison correction. Worse clinical performance in the 9-HPT was associated with neurofilament light polypeptide (p = 0.001). Increases in several biomarker candidates were correlated with greater neurodegenerative changes as measured by different brain volumes. CONCLUSION Multiple proteins, selected from a disease activity test that represent diverse biological pathways, are associated with physical, cognitive, and radiographic outcomes. Future studies should determine the utility of multiple protein assays in routine clinical care.
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Affiliation(s)
| | - Dejan Jakimovski
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | | | | | | | | | | | - Niels Bergsland
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Michael G Dwyer
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Murali Ramanathan
- Department of Pharmaceutical Sciences, State University of New York, Buffalo, Buffalo, New York, USA
| | - Bianca Weinstock-Guttman
- Jacobs MS Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Ralph Hb Benedict
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
| | - Robert Zivadinov
- Buffalo Neuroimaging Analysis Center, Department of Neurology, Jacobs School of Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, New York, USA
- Center for Biomedical Imaging at the Clinical Translational Science Institute, University at Buffalo, State University of New York, Buffalo, New York, USA
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19
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Al-Hakeim HK, Twaij BAAR, Al-Naqeeb TH, Moustafa SR, Maes M. Neuronal damage and inflammatory biomarkers are associated with the affective and chronic fatigue-like symptoms due to end-stage renal disease. J Affect Disord 2024; 347:220-229. [PMID: 38007104 DOI: 10.1016/j.jad.2023.11.078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 11/17/2023] [Accepted: 11/19/2023] [Indexed: 11/27/2023]
Abstract
BACKGROUND Many biochemical, immunological, and neuropsychiatric changes are associated with end-stage renal disease (ESRD). Neuronal damage biomarkers such as glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL), S100 calcium-binding protein B (S100B), ionized calcium-binding adaptor molecule-1 (IBA1), and myelin basic protein (MBP) are among the less-studied biomarkers of ESRD. AIM We examined the associations between these neuro-axis biomarkers, inflammatory biomarkers, e.g., C-reactive protein (CRP), interleukin (IL-6), IL-10, and zinc, copper, and neuropsychiatric symptoms due to ERSD. METHODS ELISA techniques were used to measure serum levels of neuronal damage biomarkers in 70 ESRD patients, and 46 healthy controls. RESULTS ESRD patients have higher scores of depression, anxiety, fatigue, and physiosomatic symptoms than healthy controls. Aberrations in kidney function tests and the number of dialysis interventions are associated with the severity of depression, anxiety, fibro-fatigue and physiosomatic symptoms, peripheral inflammation, nestin, and NFL. Serum levels of neuronal damage biomarkers (NFL, MBP, and nestin), CRP, and interleukin (IL)-10 are elevated, and serum zinc is decreased in ESRD patients as compared with controls. The neuronal damage biomarkers NFL, nestin, S100B and MBP are associated with the severity of one or more neuropsychiatric symptom domains. Around 50 % of the variance in the neuropsychiatric symptoms is explained by NFL, nestin, S00B, copper, and an inflammatory index. CONCLUSIONS The severity of renal dysfunction and/or the number of dialysis interventions may induce peripheral inflammation and, consequently, neurotoxicity to intermediate filament proteins, astrocytes, and the blood-brain barrier, leading to the neuropsychiatric symptoms of ESRD.
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Affiliation(s)
| | | | - Tabarek Hadi Al-Naqeeb
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq
| | - Shatha Rouf Moustafa
- Clinical Analysis Department, College of Pharmacy, Hawler Medical University, Havalan City, Erbil, Iraq
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; Research Institute, Medical University of Plovdiv, Plovdiv, Bulgaria; Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Republic of Korea; Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China; Key Laboratory of Psychosomatic Medicine, Chinese Academy of Medical Sciences, Chengdu 610072, China.
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20
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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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21
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Frank A, Bendig J, Schnalke N, Klingelhoefer L, Reichmann H, Akgün K, Ziemssen T, Falkenburger BH. Serum neurofilament indicates accelerated neurodegeneration and predicts mortality in late-stage Parkinson's disease. NPJ Parkinsons Dis 2024; 10:14. [PMID: 38195715 PMCID: PMC10776839 DOI: 10.1038/s41531-023-00605-x] [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: 04/15/2023] [Accepted: 11/17/2023] [Indexed: 01/11/2024] Open
Abstract
Different stages of Parkinson's disease (PD) are defined by clinical criteria, while late-stage PD is marked by the onset of morbidity milestones and rapid clinical deterioration. Based on neuropathological evidence, degeneration in the dopaminergic system occurs primarily in the early stage of PD, raising the question of what drives disease progression in late-stage PD. This study aimed to investigate whether late-stage PD is associated with increased neurodegeneration dynamics rather than functional decompensation using the blood-based biomarker serum neurofilament light chain (sNfL) as a proxy for the rate of neurodegeneration. The study included 118 patients with PD in the transition and late-stage (minimum disease duration 5 years, mean (SD) disease duration 15 (±7) years). The presence of clinical milestones (hallucinations, dementia, recurrent falls, and admission to a nursing home) and mortality were determined based on chart review. We found that sNfL was higher in patients who presented with at least one clinical milestone and increased with a higher number of milestones (Spearman's ρ = 0.66, p < 0.001). Above a cutoff value of 26.9 pg/ml, death was 13.6 times more likely during the follow-up period (95% CI: 3.53-52.3, p < 0.001), corresponding to a sensitivity of 85.0% and a specificity of 85.7% (AUC 0.91, 95% CI: 0.85-0.97). Similar values were obtained when using an age-adjusted cutoff percentile of 90% for sNfL. Our findings suggest that the rate of ongoing neurodegeneration is higher in advanced PD (as defined by the presence of morbidity milestones) than in earlier disease stages. A better understanding of the biological basis of stage-dependent neurodegeneration may facilitate the development of neuroprotective means.
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Affiliation(s)
- Anika Frank
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany.
| | - Jonas Bendig
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Nils Schnalke
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Lisa Klingelhoefer
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Heinz Reichmann
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Katja Akgün
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Center of Clinical Neuroscience, Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Center of Clinical Neuroscience, Department of Neurology, Technische Universität Dresden, Dresden, Germany
| | - Björn H Falkenburger
- Department of Neurology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- German Center for Neurodegenerative Diseases (DZNE), Dresden, Germany
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22
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Spirin NN, Kiseleva EV, Spirina NN. [Neurofilament light chain: a diagnostic potential for multiple sclerosis]. Zh Nevrol Psikhiatr Im S S Korsakova 2024; 124:115-119. [PMID: 39072576 DOI: 10.17116/jnevro2024124061115] [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: 07/30/2024]
Abstract
OBJECTIVE To evaluate the influence of disease activity, the degree of patient disability and pathogenetic therapy on the concentration of neurofilament light chain (NFL) in the blood serum of patients with multiple sclerosis (MS). MATERIAL AND METHODS One hundred and fourteen patients (84 women and 30 men) with definite MS were examined. The concentration of NFL in the blood serum of patients with MS was determined by enzyme immunoassay. The level of NFL was analyzed depending on the characteristics of the course and activity of the demyelinating process, the severity of neurological disorders as well as disease modifying drugs (DMDs). RESULTS An NFL level equal to or greater than 4201 pg/ml was found to be associated with a higher risk of developing a clinical exacerbation in the next 4 months. In patients with progression of disability over the next 2 years, the initial concentration of NFL was significantly higher than in the group with a stable EDSS score. The NFL level (4943 pg/ml and higher), which may be a predictor of increased disability in the next two years, was established. CONCLUSION The study demonstrates the possibility of using serum NFL levels as a diagnostic marker of possible exacerbation, as well as predicting disability in patients with MS.
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Affiliation(s)
- N N Spirin
- Yaroslavl State Medical University, Yaroslavl, Russia
| | - E V Kiseleva
- Yaroslavl State Medical University, Yaroslavl, Russia
| | - N N Spirina
- Yaroslavl State Medical University, Yaroslavl, Russia
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23
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Abdelhak A, Benkert P, Schaedelin S, Boscardin WJ, Cordano C, Oechtering J, Ananth K, Granziera C, Melie-Garcia L, Montes SC, Beaudry-Richard A, Achtnichts L, Oertel FC, Lalive PH, Leppert D, Müller S, Henry RG, Pot C, Matthias A, Salmen A, Oksenberg JR, Disanto G, Zecca C, D’Souza M, Du Pasquier R, Bridel C, Gobbi C, Kappos L, Hauser SL, Cree BAC, Kuhle J, Green AJ. Neurofilament Light Chain Elevation and Disability Progression in Multiple Sclerosis. JAMA Neurol 2023; 80:1317-1325. [PMID: 37930670 PMCID: PMC10628837 DOI: 10.1001/jamaneurol.2023.3997] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 08/16/2023] [Indexed: 11/07/2023]
Abstract
Importance Mechanisms contributing to disability accumulation in multiple sclerosis (MS) are poorly understood. Blood neurofilament light chain (NfL) level, a marker of neuroaxonal injury, correlates robustly with disease activity in people with MS (MS); however, data on the association between NfL level and disability accumulation have been conflicting. Objective To determine whether and when NfL levels are elevated in the context of confirmed disability worsening (CDW). Design, Setting, and Participants This study included 2 observational cohorts: results from the Expression, Proteomics, Imaging, Clinical (EPIC) study at the University of California San Francisco (since 2004) were confirmed in the Swiss Multiple Sclerosis Cohort (SMSC), a multicenter study in 8 centers since 2012. Data were extracted from EPIC in April 2022 (sampling July 1, 2004, to December 20, 2016) and SMSC in December 2022 (sampling June 6, 2012, to September 2, 2021). The study included 2 observational cohorts in tertiary MS centers. All participants of both cohorts with available NfL results were included in the study, and no eligible participants were excluded or declined to participate. Exposure Association between NfL z scores and CDW. Main Outcome Measures CDW was defined as Expanded Disability Status Scale (EDSS) worsening that was confirmed after 6 or more months and classified into CDW associated with clinical relapses (CDW-R) or independent of clinical relapses (CDW-NR). Visits were classified in relation to the disability worsening events into CDW(-2) for 2 visits preceding event, CDW(-1) for directly preceding event, CDW(event) for first diagnosis of EDSS increase, and the confirmation visit. Mixed linear and Cox regression models were used to evaluate NfL dynamics and to assess the association of NfL with future CDW, respectively. Results A total of 3906 EPIC visits (609 participants; median [IQR] age, 42.0 [35.0-50.0] years; 424 female [69.6%]) and 8901 SMSC visits (1290 participants; median [IQR] age, 41.2 [32.5-49.9] years; 850 female [65.9%]) were included. In CDW-R (EPIC, 36 events; SMSC, 93 events), NfL z scores were 0.71 (95% CI, 0.35-1.07; P < .001) units higher at CDW-R(-1) in EPIC and 0.32 (95% CI, 0.14-0.49; P < .001) in SMSC compared with stable MS samples. NfL elevation could be detected preceding CDW-NR (EPIC, 191 events; SMSC, 342 events) at CDW-NR(-2) (EPIC: 0.23; 95% CI, 0.01-0.45; P = .04; SMSC: 0.28; 95% CI, 0.18-0.37; P < .001) and at CDW-NR(-1) (EPIC: 0.27; 95% CI, 0.11-0.44; P < .001; SMSC: 0.09; 95% CI, 0-0.18; P = .06). Those findings were replicated in the subgroup with relapsing-remitting MS. Time-to-event analysis confirmed the association between NfL levels and future CDW-R within approximately 1 year and CDW-NR (in approximately 1-2 years). Conclusions and Relevance This cohort study documents the occurrence of NfL elevation in advance of clinical worsening and may hint to a potential window of ongoing dynamic central nervous system pathology that precedes the diagnosis of CDW.
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Affiliation(s)
- Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Pascal Benkert
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - W. John Boscardin
- Departments of Medicine and Epidemiology & Biostatistics, University of California at San Francisco, San Francisco
| | - Christian Cordano
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
- Department of Neurology, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Italy
| | - Johanna Oechtering
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Kirtana Ananth
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Cristina Granziera
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Lester Melie-Garcia
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Translational Imaging in Neurology (ThINK) Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Shivany Condor Montes
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Alexandra Beaudry-Richard
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Frederike C. Oertel
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Patrice H. Lalive
- Unit of Neuroimmunology, Division of Neurology, Department of Clinical Neurosciences, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - David Leppert
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Roland G. Henry
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Caroline Pot
- Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Amandine Matthias
- Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Anke Salmen
- Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Jorge R. Oksenberg
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Giulio Disanto
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, ECO, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, ECO, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Marcus D’Souza
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Renaud Du Pasquier
- Department of Clinical Neurosciences, Service of Neurology, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Claire Bridel
- Unit of Neuroimmunology, Division of Neurology, Department of Clinical Neurosciences, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, ECO, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Ludwig Kappos
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Stephen L. Hauser
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Bruce A. C. Cree
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
| | - Jens Kuhle
- Department of Clinical Research, University Hospital Basel and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Center, Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Ari J. Green
- Weill Institute for Neurosciences, Department of Neurology, University of California at San Francisco, San Francisco
- Department of Ophthalmology, University of California at San Francisco, San Francisco
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Chatanaka MK, Avery LM, Pasic MD, Sithravadivel S, Rotstein D, Demos C, Cohen R, Gorham T, Wang M, Stengelin M, Mathew A, Wohlstadter J, Prassas I, Diamandis EP. The relationship between serum astroglial and neuronal markers and AQP4 and MOG autoantibodies. RESEARCH SQUARE 2023:rs.3.rs-3659922. [PMID: 38077014 PMCID: PMC10705596 DOI: 10.21203/rs.3.rs-3659922/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/22/2023]
Abstract
Background Certain demyelinating disorders, such as neuromyelitis optica spectrum disorder (NMOSD) and myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) exhibit serum autoantibodies against aquaporin-4 (αAQP4) and myelin oligodendrocyte glycoprotein (αMOG). The variability of the autoantibody presentation warrants further research into subtyping each case. Methods To elucidate the relationship between astroglial and neuronal protein concentrations in the peripheral circulation with occurrence of these autoantibodies, 86 serum samples were analyzed using immunoassays. The protein concentration of glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL) and tau protein was measured in 3 groups of subcategories of suspected NMOSD: αAQP4 positive (n = 20), αMOG positive (n = 32) and αMOG/αAQP4 seronegative (n = 34). Kruskal-Wallis analysis, univariate predictor analysis, and multivariate logistic regression with ROC curves were performed. Results GFAP and NFL concentrations were significantly elevated in the αAQP4 positive group (p = 0.003; p = 0.042, respectively), and tau was elevated in the αMOG/αAQP4 seronegative group (p < 0.001). A logistic regression model to classify serostatus was able to separate αAQP4 seropositivity using GFAP + tau, and αMOG seropositivity using tau. The areas under the ROC curves (AUCs) were 0.77 and 0.72, respectively. Finally, a combined seropositivity versus negative status logistic regression model was generated, with AUC = 0.80. Conclusion The 3 markers can univariately and multivariately classify with moderate accuracy the samples with seropositivity and seronegativity for αAQP4 and αMOG.
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Bose G, Healy BC, Saxena S, Saleh F, Glanz BI, Bakshi R, Weiner HL, Chitnis T. Increasing Neurofilament and Glial Fibrillary Acidic Protein After Treatment Discontinuation Predicts Multiple Sclerosis Disease Activity. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2023; 10:e200167. [PMID: 37813595 PMCID: PMC10574823 DOI: 10.1212/nxi.0000000000200167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Accepted: 08/17/2023] [Indexed: 10/15/2023]
Abstract
BACKGROUND AND OBJECTIVES Stable patients with multiple sclerosis (MS) may discontinue treatment, but the risk of disease activity is unknown. Serum neurofilament light chain (sNfL) and serum glial fibrillary acidic protein (sGFAP) are biomarkers of subclinical disease activity and may help risk stratification. In this study, sNfL and sGFAP levels in stable patients were evaluated before and after treatment discontinuation to determine association with disease activity. METHODS This observational study included patients enrolled in the Comprehensive Longitudinal Investigation in MS at the Brigham and Women's Hospital who discontinued treatment after >2 years disease activity-free. Two serum samples within 2 years, before and after treatment stop, were sent for sNfL and sGFAP measurements by single-molecule array. Biannual neurologic examinations and yearly MRI scans determined disease activity by 3 time-to-event outcomes: 6-month confirmed disability worsening (CDW), clinical attacks, and MRI activity (new T2 or contrast-enhancing lesions). Associations between each outcome and log-transformed sNfL and sGFAP levels pretreatment stop and posttreatment stop and the percent change were estimated using multivariable Cox regression analysis adjusting for age, disability, disease duration, and duration from attack before treatment stop. RESULTS Seventy-eight patients (92% female) discontinued treatment at a median (interquartile range) age of 48.5 years (39.0-55.7) and disease duration of 12.3 years (7.5-18.8) and were followed up for 6.3 years (4.2-8.5). CDW occurred in 27 patients (35%), new attacks in 19 (24%), and new MRI activity in 26 (33%). Higher posttreatment stop sNfL level was associated with CDW (adjusted hazard ratio (aHR) 2.80, 95% CI 1.36-5.76, p = 0.005) and new MRI activity (aHR 3.09, 95% CI 1.42-6.70, p = 0.004). Patients who had >100% increase in sNfL level from pretreatment stop to posttreatment stop had greater risk of CDW (HR 3.87, 95% CI 1.4-10.7, p = 0.009) and developing new MRI activity (HR 4.02, 95% CI 1.51-10.7, p = 0.005). Patients who had >50% increase in sGFAP level also had greater risk of CDW (HR 5.34, 95% CI 1.4-19.9, p = 0.012) and developing new MRI activity (HR 5.16, 95% CI 1.71-15.6, p = 0.004). DISCUSSION Stable patients who discontinue treatment may be risk stratified by sNfL and sGFAP levels measured before and after discontinuing treatment. Further studies are needed to validate findings and determine whether resuming treatment in patients with increasing biomarker levels reduces risk of subsequent disease activity.
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Affiliation(s)
- Gauruv Bose
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Brian C Healy
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Shrishti Saxena
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Fermisk Saleh
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Bonnie I Glanz
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Rohit Bakshi
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Howard L Weiner
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada
| | - Tanuja Chitnis
- From the Department of Neurology (G.B., B.C.H., S.S., F.S., B.I.G., R.B., H.L.W., T.C.), Brigham and Women's Hospital, Boston, MA; Harvard Medical School (G.B., B.C.H., B.I.G., R.B., H.L.W., T.C.), Boston, MA; The University of Ottawa and Ottawa Hospital Research Institute (G.B.), Ottawa, Canada.
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Hellerhoff I, Bernardoni F, Bahnsen K, King JA, Doose A, Pauligk S, Tam FI, Mannigel M, Gramatke K, Roessner V, Akgün K, Ziemssen T, Ehrlich S. Serum neurofilament light concentrations are associated with cortical thinning in anorexia nervosa. Psychol Med 2023; 53:7053-7061. [PMID: 36967674 PMCID: PMC10719626 DOI: 10.1017/s0033291723000387] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 12/21/2022] [Accepted: 02/06/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Anorexia nervosa (AN) is characterized by severe emaciation and drastic reductions of brain mass, but the underlying mechanisms remain unclear. The present study investigated the putative association between the serum-based protein markers of brain damage neurofilament light (NF-L), tau protein, and glial fibrillary acidic protein (GFAP) and cortical thinning in acute AN. METHODS Blood samples and magnetic resonance imaging scans were obtained from 52 predominantly adolescent, female patients with AN before and after partial weight restoration (increase in body mass index >14%). The effect of marker levels before weight gain and change in marker levels on cortical thickness (CT) was modeled at each vertex of the cortical surface using linear mixed-effect models. To test whether the observed effects were specific to AN, follow-up analyses exploring a potential general association of marker levels with CT were conducted in a female healthy control (HC) sample (n = 147). RESULTS In AN, higher baseline levels of NF-L, an established marker of axonal damage, were associated with lower CT in several regions, with the most prominent clusters located in bilateral temporal lobes. Tau protein and GFAP were not associated with CT. In HC, no associations between damage marker levels and CT were detected. CONCLUSIONS A speculative interpretation would be that cortical thinning in acute AN might be at least partially a result of axonal damage processes. Further studies should thus test the potential of serum NF-L to become a reliable, low-cost and minimally invasive marker of structural brain alterations in AN.
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Affiliation(s)
- Inger Hellerhoff
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Eating Disorder Research and Treatment Center, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Fabio Bernardoni
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Klaas Bahnsen
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Joseph A. King
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Arne Doose
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Sophie Pauligk
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Friederike I. Tam
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Eating Disorder Research and Treatment Center, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Merle Mannigel
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Katrin Gramatke
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Veit Roessner
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Katja Akgün
- Center of Clinical Neuroscience, Neurological Clinic, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Neurological Clinic, Faculty of Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Stefan Ehrlich
- Division of Psychological and Social Medicine and Developmental Neurosciences, Translational Developmental Neuroscience Section, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
- Department of Child and Adolescent Psychiatry, Eating Disorder Research and Treatment Center, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
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Martin SJ, Brand-Arzamendi K, Saab G, Muccilli A, Oh J, Schneider R. GM-CSF is a marker of compartmentalised intrathecal inflammation in multiple sclerosis. Mult Scler 2023; 29:1373-1382. [PMID: 37700482 DOI: 10.1177/13524585231195861] [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: 09/14/2023]
Abstract
BACKGROUND Granulocyte-macrophage colony stimulating factor (GM-CSF) is a pro-inflammatory cytokine secreted by various immune cells. Several studies have demonstrated an expansion of GM-CSF producing T cells in the blood or CSF of people with MS (pwMS). However, whether this equates to greater concentrations of circulating cytokine remains unknown as quantification is difficult with traditional assays. OBJECTIVE To determine whether GM-CSF can be quantified and whether GM-CSF levels are elevated in pwMS. METHODS We employed Single Molecule Array (Simoa) to measure GM-CSF in both CSF and blood. We then investigated relationships between GM-CSF levels and measures of blood-CSF-barrier integrity. RESULTS GM-CSF was quantifiable in all samples and was significantly higher in the CSF of pwMS compared with controls. No association was found between CSF GM-CSF levels and Q-Albumin - a measure of blood-CSF-barrier integrity. CSF GM-CSF correlated with measures of intrathecal inflammation, and these relationships were greater in primary progressive MS compared with relapsing-remitting MS. CONCLUSION GM-CSF levels are elevated specifically in the CSF of pwMS. Our results suggest that elevated cytokine levels may reflect (at least partial) intrathecal production, as opposed to simple diffusion across a dysfunctional blood-CSF-barrier.
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Affiliation(s)
- S-J Martin
- St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, Toronto, ON, Canada
| | - K Brand-Arzamendi
- St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, Toronto, ON, Canada
| | - G Saab
- St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - A Muccilli
- St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
| | - J Oh
- St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - R Schneider
- St. Michael's Hospital, Unity Health Toronto, Toronto, ON, Canada
- Keenan Research Centre for Biomedical Science, Unity Health Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
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Jiang S, Wang X, Cao T, Kang R, Huang L. Insights on therapeutic potential of clemastine in neurological disorders. Front Mol Neurosci 2023; 16:1279985. [PMID: 37840769 PMCID: PMC10568021 DOI: 10.3389/fnmol.2023.1279985] [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: 08/19/2023] [Accepted: 09/13/2023] [Indexed: 10/17/2023] Open
Abstract
Clemastine, a Food and Drug Administration (FDA)-approved compound, is recognized as a first-generation, widely available antihistamine that reduces histamine-induced symptoms. Evidence has confirmed that clemastine can transport across the blood-brain barrier and act on specific neurons and neuroglia to exert its protective effect. In this review, we summarize the beneficial effects of clemastine in various central nervous system (CNS) disorders, including neurodegenerative disease, neurodevelopmental deficits, brain injury, and psychiatric disorders. Additionally, we highlight key cellular links between clemastine and different CNS cells, in particular in oligodendrocyte progenitor cells (OPCs), oligodendrocytes (OLs), microglia, and neurons.
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Affiliation(s)
- Sufang Jiang
- Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Xueji Wang
- Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Tianyu Cao
- Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Rongtian Kang
- Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
| | - Lining Huang
- Department of Anesthesiology, The Second Hospital of Hebei Medical University, Shijiazhuang, Hebei, China
- The Key Laboratory of Neurology, Ministry of Education, Shijiazhuang, Hebei, China
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29
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Sánchez-Vera I, Escudero E, Muñoz Ú, Sádaba MC. IgM to phosphatidylcholine in multiple sclerosis patients: from the diagnosis to the treatment. Ther Adv Neurol Disord 2023; 16:17562864231189919. [PMID: 37599706 PMCID: PMC10437209 DOI: 10.1177/17562864231189919] [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: 02/21/2023] [Accepted: 07/07/2023] [Indexed: 08/22/2023] Open
Abstract
Multiple sclerosis (MS) is a demyelinating and neurodegenerative disease of the central nervous system. It affects young people, and a considerable percentage of patients need the help of a wheelchair in 15 years of evolution. Currently, there is not a specific technique for the diagnosis of MS. The detection of oligoclonal IgG bands (OIgGBs) is the most sensitive assay for it, but it is not standardizable, only reference laboratories develop it, and uses cerebrospinal fluid. To obtain this sample, a lumbar puncture is necessary, an invasive proceeding with important side effects. It is important to develop and implement standard assays to obtain a rapid diagnosis because the earlier the treatment, the better the evolution of the disease. There are numerous modifying disease therapies, which delay the progression of the disease, but they have important side effects, and a considerable percentage of patients give up the treatment. In addition, around 40% of MS patients do not respond to the therapy and the disease progresses. Numerous researches have been focused on the characterization of predictive biomarkers of response to treatment, in order to help physicians to decide when to change to a second-line treatment, and then the best therapeutic option. Here, we review the new biomarkers for the diagnosis and response to treatment in MS. We draw attention in a new assay, the detection of serum IgM to phosphatidylcholine, that showed a similar sensitivity as OIgGBs and predicts the response to disease modifying treatments.
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Affiliation(s)
- Isabel Sánchez-Vera
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Esther Escudero
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Úrsula Muñoz
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - María C. Sádaba
- Facultad de Medicina, Instituto de Medicina Molecular Aplicada (INMA), Universidad San Pablo-CEU, CEU Universities, Crta Boadilla del Monte Km 5,3, Madrid 28668, Spain
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Maroto-García J, Martínez-Escribano A, Delgado-Gil V, Mañez M, Mugueta C, Varo N, García de la Torre Á, Ruiz-Galdón M. Biochemical biomarkers for multiple sclerosis. Clin Chim Acta 2023; 548:117471. [PMID: 37419300 DOI: 10.1016/j.cca.2023.117471] [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: 04/10/2023] [Revised: 07/04/2023] [Accepted: 07/04/2023] [Indexed: 07/09/2023]
Abstract
INTRODUCTION Multiple sclerosis (MS) is the most frequent demyelinating disease of the central nervous system. Although there is currently no definite cure for MS, new therapies have recently been developed based on a continuous search for new biomarkers. DEVELOPMENT MS diagnosis relies on the integration of clinical, imaging and laboratory findings as there is still no singlepathognomonicclinical feature or diagnostic laboratory biomarker. The most commonly laboratory test used is the presence of immunoglobulin G oligoclonal bands (OCB) in cerebrospinal fluid of MS patients. This test is now included in the 2017 McDonald criteria as a biomarker of dissemination in time. Nevertheless, there are other biomarkers currently in use such as kappa free light chain, which has shown higher sensitivity and specificity for MS diagnosis than OCB. In addition, other potential laboratory tests involved in neuronal damage, demyelination and/or inflammation could be used for detecting MS. CONCLUSIONS CSF and serum biomarkers have been reviewed for their use in MS diagnosis and prognosis to stablish an accurate and prompt MS diagnosis, crucial to implement an adequate treatment and to optimize clinical outcomes over time.
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Affiliation(s)
- Julia Maroto-García
- Biochemistry Department, Clínica Universidad de Navarra, Spain; Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain.
| | - Ana Martínez-Escribano
- Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain; Laboratory Medicine, Hospital Clínico Universitario Virgen de la Arrixaca, IMIB-ARRIXACA, Murcia, Spain
| | - Virginia Delgado-Gil
- Neurology Department, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Minerva Mañez
- Neurology Department, Hospital Universitario Virgen de la Victoria, Malaga, Spain
| | - Carmen Mugueta
- Biochemistry Department, Clínica Universidad de Navarra, Spain
| | - Nerea Varo
- Biochemistry Department, Clínica Universidad de Navarra, Spain
| | - Ángela García de la Torre
- Clinical Analysis Service, Hospital Universitario Virgen de la Victoria, Malaga, Spain; The Biomedical Research Institute of Malaga (IBIMA), Malaga, Spain
| | - Maximiliano Ruiz-Galdón
- Department of Biochemistry and Molecular Biology. Faculty of Medicine. University of Malaga, Spain; Clinical Analysis Service, Hospital Universitario Virgen de la Victoria, Malaga, Spain; The Biomedical Research Institute of Malaga (IBIMA), Malaga, Spain
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31
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Oset M, Domowicz M, Wildner P, Siger M, Karlińska I, Stasiołek M, Świderek-Matysiak M. Predictive value of brain atrophy, serum biomarkers and information processing speed for early disease progression in multiple sclerosis. Front Neurol 2023; 14:1223220. [PMID: 37560452 PMCID: PMC10407123 DOI: 10.3389/fneur.2023.1223220] [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: 05/15/2023] [Accepted: 07/04/2023] [Indexed: 08/11/2023] Open
Abstract
INTRODUCTION Multiple sclerosis (MS) is a chronic autoimmune-mediated demyelinating disease of the central nervous system (CNS). A clinical presentation of the disease is highly differentiated even from the earliest stages of the disease. The application of stratifying tests in clinical practice would allow for improving clinical decision-making including a proper assessment of treatment benefit/risk balance. METHODS This prospective study included patients with MS diagnosed up to 1 year before recruitment. We analyzed serum biomarkers such as CXCL13, CHI3L1, OPN, IL-6, and GFAP and neurofilament light chains (NfLs); brain MRI parameters of linear atrophy such as bicaudate ratio (BCR), third ventricle width (TVW); and information processing speed were measured using the Symbol Digit Modalities Test (SDMT) during the 2 years follow-up. RESULTS The study included a total of 50 patients recruited shortly after the diagnosis of MS diagnosis (median 0 months; range 0-11 months), and the mean time of observation was 28 months (SD = 4.75). We observed a statistically significant increase in the EDSS score (Wilcoxon test: Z = 3.06, p = 0.002), BCR (Wilcoxon test: Z = 4.66, p < 0.001), and TVW (Wilcoxon test: Z = 2.84, p = 0.005) after 2 years of disease. Patients who had a significantly higher baseline level of NfL suffered from a more severe disease course as per the EDSS score (Mann-Whitney U-test: U = 107, Z = -2,74, p = 0.006) and presence of relapse (Mann-Whitney U-test: U = 188, Z = -2.01, p = 0.044). In the logistic regression model, none of the parameters was a significant predictor for the achieving of no evidence of disease activity status (NEDA). In the model considering all assessed parameters, only the level of NfL had a significant impact on disease progression, measured as the increase in EDSS (logistic regression: β = 0.002, p = 0.017). CONCLUSION We confirmed that NfL levels in serum are associated with more active disease. Moreover, we found that TVW at the time of diagnosis was associated with an impairment in cognitive function measured by information processing speed at the end of the 2-year observation. The inclusion of serum NfL and TVW assessment early in the disease may be a good predictor of disease progression independent of NEDA.
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Al-hakeim HK, Al-raheem Twaij BA, Al-naqeeb TH, Moustafa SR, Maes M. Neuronal damage and inflammatory biomarkers are associated with the affective and chronic fatigue-like symptoms due to end-stage renal disease.. [DOI: 10.1101/2023.05.03.23289492] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/02/2023]
Abstract
AbstractBackgroundMany biochemical, immunological, and neuropsychiatric changes are associated with end-stage renal disease (ESRD). Neuronal damage biomarkers such as glial fibrillary acidic protein (GFAP), neurofilament light chain (NFL), S100 calcium-binding protein B (S100B), ionized calcium-binding adaptor molecule-1 (IBA1), and myelin basic protein (MBP) are among the less-studied biomarkers of ESRD.AimWe examined the associations between these neuro-axis biomarkers, inflammatory biomarkers, e.g., C-reactive protein (CRP), interleukin (IL-6), IL-10, and zinc, copper, and neuropsychiatric symptoms due to ERSD.MethodsELISA techniques were used to measure serum levels of neuronal damage biomarkers in 70 ESRD patients, and 46 healthy controls.ResultsESRD patients have higher scores of depression, anxiety, fatigue, and physiosomatic symptoms than healthy controls. Aberrations in kidney function tests and the number of dialysis interventions are associated with the severity of depression, anxiety, fibro-fatigue and physiosomatic symptoms, peripheral inflammation, nestin, and NFL. Serum levels of neuronal damage biomarkers (NFL, MBP, and nestin), CRP, and interleukin (IL)-10 are elevated, and serum zinc is decreased in ESRD patients as compared with controls. The neuronal damage biomarkers NFL, nestin, S100B and MBP are associated with the severity of one or more neuropsychiatric symptom domains. Around 50% of the variance in the neuropsychiatric symptoms is explained by NFL, nestin, S00B, copper, and an inflammatory index.ConclusionsThe severity of renal dysfunction and/or the number of dialysis interventions may induce peripheral inflammation and, consequently, neurotoxicity to intermediate filament proteins, astrocytes, and the blood-brain barrier, leading to the neuropsychiatric symptoms of ESRD.
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Oh U, Woolbright E, Lehner-Gulotta D, Coleman R, Conaway M, Goldman MD, Brenton JN. Serum neurofilament light chain in relapsing multiple sclerosis patients on a ketogenic diet. Mult Scler Relat Disord 2023; 73:104670. [PMID: 36996634 PMCID: PMC10239314 DOI: 10.1016/j.msard.2023.104670] [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: 11/23/2022] [Revised: 03/22/2023] [Accepted: 03/25/2023] [Indexed: 03/28/2023]
Abstract
BACKGROUND Ketogenic diets have anti-inflammatory and neuroprotective properties which make these diets an attractive complimentary treatment approach for patients living with multiple sclerosis (MS). The objective of this study was to assess the impact of ketogenic diets on neurofilament light chain (NfL), a biomarker of neuroaxonal injury. METHODS Thirty-nine subjects with relapsing MS completed a 6-month ketogenic diet intervention. NfL levels were assayed at both baseline (pre-diet) and 6-months on-diet. In addition, ketogenic diet study participants were compared to a cohort (n = 31) of historical, untreated MS controls. RESULTS Baseline (pre-diet) mean NfL was 5.45 pg/ml (95% CI 4.59 - 6.31). After 6 months on ketogenic diet, mean NfL was not significantly changed (5.49 pg/ml; 95% CI 4.82 - 6.19). Compared to untreated MS controls (mean 15.17 pg/ml), NfL levels for the ketogenic diet cohort were relatively low. MS subjects with higher levels of ketosis (as measured by serum beta-hydroxybutyrate) exhibited greater reductions in NfL between baseline and 6-months on ketogenic diet. CONCLUSIONS Ketogenic diets do not worsen biomarkers of neurodegeneration in relapsing MS patients, with stable, low levels of NfL observed throughout the diet intervention. Subjects with greater biomarkers of ketosis experienced a higher degree of improvement in serum NfL. CLINICAL TRIAL IDENTIFIER NCT03718247 - "Utilization of the Ketogenic Diet in Patients with Relapsing-Remitting MS" https://clinicaltrials.gov/ct2/show/NCT03718247.
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Affiliation(s)
- Unsong Oh
- Dept of Neurology, Virginia Commonwealth University, Richmond, VA, USA
| | | | - Diana Lehner-Gulotta
- Dept of Neurology, University of Virginia, Charlottesville VA, USA; Division of Child Neurology, Dept. of Neurology, University of Virginia, Charlottesville, VA, USA
| | - Rachael Coleman
- Dept of Neurology, University of Virginia, Charlottesville VA, USA
| | - Mark Conaway
- Dept of Public Health Sciences, University of Virginia, Charlottesville VA, USA
| | - Myla D Goldman
- Dept of Neurology, Virginia Commonwealth University, Richmond, VA, USA
| | - J Nicholas Brenton
- Medical University of South Carolina, Charleston SC, USA; Dept of Neurology, University of Virginia, Charlottesville VA, USA.
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Zhang F, Gao X, Liu J, Zhang C. Biomarkers in autoimmune diseases of the central nervous system. Front Immunol 2023; 14:1111719. [PMID: 37090723 PMCID: PMC10113662 DOI: 10.3389/fimmu.2023.1111719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Accepted: 03/16/2023] [Indexed: 04/09/2023] Open
Abstract
The autoimmune diseases of the central nervous system (CNS) represent individual heterogeneity with different disease entities. Although clinical and imaging features make it possible to characterize larger patient cohorts, they may not provide sufficient evidence to detect disease activity and response to disease modifying drugs. Biomarkers are becoming a powerful tool due to their objectivity and easy access. Biomarkers may indicate various aspects of biological processes in healthy and/or pathological states, or as a response to drug therapy. According to the clinical features described, biomarkers are usually classified into predictive, diagnostic, monitoring and safety biomarkers. Some nerve injury markers, humoral markers, cytokines and immune cells in serum or cerebrospinal fluid have potential roles in disease severity and prognosis in autoimmune diseases occurring in the CNS, which provides a promising approach for clinicians to early intervention and prevention of future disability. Therefore, this review mainly summarizes the potential biomarkers indicated in autoimmune disorders of the CNS.
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Affiliation(s)
- Fenghe Zhang
- Department of Neurology and Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin, China
| | - Xue Gao
- Department of Neurology and Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin, China
| | - Jia Liu
- Department of Neurology and Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin, China
| | - Chao Zhang
- Department of Neurology and Institute of Neuroimmunology, Tianjin Medical University General Hospital, Tianjin, China
- Centers of Neuroimmunology and Neurological Diseases, China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Chao Zhang,
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Bose G, Healy BC, Saxena S, Saleh F, Paul A, Barro C, Lokhande HA, Polgar-Turcsanyi M, Anderson M, Glanz BI, Guttmann CRG, Bakshi R, Weiner HL, Chitnis T. Early neurofilament light and glial fibrillary acidic protein levels improve predictive models of multiple sclerosis outcomes. Mult Scler Relat Disord 2023; 74:104695. [PMID: 37060852 DOI: 10.1016/j.msard.2023.104695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/08/2023] [Accepted: 03/31/2023] [Indexed: 04/07/2023]
Abstract
BACKGROUND Early risk-stratification in multiple sclerosis (MS) may impact treatment decisions. Current predictive models have identified that clinical and imaging characteristics of aggressive disease are associated with worse long-term outcomes. Serum biomarkers, neurofilament (sNfL) and glial fibrillary acidic protein (sGFAP), reflect subclinical disease activity through separate pathological processes and may contribute to predictive models of clinical and MRI outcomes. METHODS We conducted a retrospective analysis of the Comprehensive Longitudinal Investigation of Multiple Sclerosis at the Brigham and Women's Hospital (CLIMB study), where patients with multiple sclerosis are seen every 6 months and undergo Expanded Disability Status Scale (EDSS) assessment, have annual brain MRI scans where volumetric analysis is conducted to calculate T2-lesion volume (T2LV) and brain parenchymal fraction (BPF), and donate a yearly blood sample for subsequent analysis. We included patients with newly diagnosed relapsing-remitting MS and serum samples obtained at baseline visit and 1-year follow-up (both within 3 years of onset), and were assessed at 10-year follow-up. We measured sNfL and sGFAP by single molecule array at baseline visit and at 1-year follow-up. A predictive clinical model was developed using age, sex, Expanded Disability Status Scale (EDSS), pyramidal signs, relapse rate, and spinal cord lesions at first visit. The main outcome was odds of developing of secondary progressive (SP)MS at year 10. Secondary outcomes included 10-year EDSS, brain T2LV and BPF. We compared the goodness-of-fit of the predictive clinical model with and without sNfL and sGFAP at baseline and 1-year follow-up, for each outcome by area under the receiver operating characteristic curve (AUC) or R-squared. RESULTS A total 144 patients with median MS onset at age 37.4 years (interquartile range: 29.4-45.4), 64% female, were included. SPMS developed in 25 (17.4%) patients. The AUC for the predictive clinical model without biomarker data was 0.73, which improved to 0.77 when both sNfL and sGFAP were included in the model (P = 0.021). In this model, higher baseline sGFAP associated with developing SPMS (OR=3.3 [95%CI:1.1,10.6], P = 0.04). Adding 1-year follow-up biomarker levels further improved the model fit (AUC = 0.79) but this change was not statistically significant (P = 0.15). Adding baseline biomarker data also improved the R-squared of clinical models for 10-year EDSS from 0.24 to 0.28 (P = 0.032), while additional 1-year follow-up levels did not. Baseline sGFAP was associated with 10-year EDSS (ß=0.58 [95%CI:0.00,1.16], P = 0.05). For MRI outcomes, baseline biomarker levels improved R-squared for T2LV from 0.12 to 0.27 (P<0.001), and BPF from 0.15 to 0.20 (P = 0.042). Adding 1-year follow-up biomarker data further improved T2LV to 0.33 (P = 0.0065) and BPF to 0.23 (P = 0.048). Baseline sNfL was associated with T2LV (ß=0.34 [95%CI:0.21,0.48], P<0.001) and 1-year follow-up sNfL with BPF (ß=-2.53% [95%CI:-4.18,-0.89], P = 0.003). CONCLUSIONS Early biomarker levels modestly improve predictive models containing clinical and MRI variables. Worse clinical outcomes, SPMS and EDSS, are associated with higher sGFAP levels and worse MRI outcomes, T2LV and BPF, are associated with higher sNfL levels. Prospective study implementing these predictive models into clinical practice are needed to determine if early biomarker levels meaningfully impact clinical practice.
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Affiliation(s)
- Gauruv Bose
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Brian C Healy
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Shrishti Saxena
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Fermisk Saleh
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Anu Paul
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Christian Barro
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Hrishikesh A Lokhande
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Mariann Polgar-Turcsanyi
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Mark Anderson
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Bonnie I Glanz
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Charles R G Guttmann
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Department of Radiology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Rohit Bakshi
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Howard L Weiner
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA
| | - Tanuja Chitnis
- Harvard Medical School, 60 Fenwood Road, 9002 K, Boston, MA 02115, USA; Brigham MS Center, Department of Neurology, Brigham and Women's Hospital, Boston, MA 02115, USA.
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Sen MK, Hossain MJ, Mahns DA, Brew BJ. Validity of serum neurofilament light chain as a prognostic biomarker of disease activity in multiple sclerosis. J Neurol 2023; 270:1908-1930. [PMID: 36520240 DOI: 10.1007/s00415-022-11507-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 12/23/2022]
Abstract
Multiple sclerosis (MS) is a chronic demyelinating and neuroinflammatory disease of the human central nervous system with complex pathoetiology, heterogeneous presentations and an unpredictable course of disease progression. There remains an urgent need to identify and validate a biomarker that can reliably predict the initiation and progression of MS as well as identify patient responses to disease-modifying treatments/therapies (DMTs). Studies exploring biomarkers in MS and other neurodegenerative diseases currently focus mainly on cerebrospinal fluid (CSF) analyses, which are invasive and impractical to perform on a repeated basis. Recent studies, replacing CSF with peripheral blood samples, have revealed that the elevation of serum neurofilament light chain (sNfL) in the clinical stages of MS is, potentially, an ideal prognostic biomarker for predicting disease progression and for possibly guiding treatment decisions. However, there are unresolved factors (the definition of abnormal values of sNfL concentration, the standardisation of measurement and the amount of change in sNfL concentration that is significant) that are preventing its use as a biomarker in routine clinical practice for MS. This updated review critiques these recent findings and highlights areas for focussed work to facilitate the use of sNfL as a prognostic biomarker in MS management.
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Affiliation(s)
- Monokesh K Sen
- School of Medicine, Western Sydney University, Penrith, NSW, Australia
- Peter Duncan Neuroscience Research Unit, St Vincent's Centre for Applied Medical Research, Darlinghurst, Sydney, 2010, Australia
- Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Camperdown, NSW, 2006, Australia
| | - Md Jakir Hossain
- School of Biomedical Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia
| | - David A Mahns
- School of Medicine, Western Sydney University, Penrith, NSW, Australia
| | - Bruce J Brew
- Peter Duncan Neuroscience Research Unit, St Vincent's Centre for Applied Medical Research, Darlinghurst, Sydney, 2010, Australia.
- School of Biomedical Sciences, UNSW Sydney, Sydney, NSW, 2052, Australia.
- Department of Neurology, St Vincent's Hospital, Darlinghurst, 2010, Australia.
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Cutter G, Rudick RA, de Moor C, Singh CM, Fisher E, Koster T, Lublin FD, Wolinsky JS, McFarland H, Jacobson S, Naylor ML. Serum neurofilament light-chain levels and long-term treatment outcomes in relapsing-remitting multiple sclerosis patients: A post hoc analysis of the randomized CombiRx trial. Mult Scler J Exp Transl Clin 2023; 9:20552173231169463. [PMID: 37139460 PMCID: PMC10150429 DOI: 10.1177/20552173231169463] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 03/27/2023] [Indexed: 05/05/2023] Open
Abstract
Background CombiRx was a randomized, double-blind, placebo-controlled phase 3 trial in treatment-naive relapsing-remitting multiple sclerosis (RRMS) patients randomized to intramuscular interferon beta-1a (IM IFN beta-1a), glatiramer acetate (GA), or both therapies. Objective This analysis investigated changes in serum neurofilament light-chain (sNfL) levels in response to treatment and assessed baseline sNfL as a predictor of relapse. Methods RRMS patients treated with IM IFN beta-1a 30 µg weekly + placebo (n = 159), GA 20 mg/mL daily + placebo (n = 172), or IM IFN beta-1a + GA (n = 344) were included. A linear mixed model compared sNfL values over time. Cox regression models analyzed baseline sNfL and gadolinium-enhancing (Gd+) lesions as predictors of relapse. Results In all treatment arms, the proportion of patients with sNfL ≥16 pg/mL decreased significantly from baseline to 6 months and was maintained at 36 months. A significantly higher percentage of patients with both baseline sNfL ≥16 pg/mL and ≥1 Gd+ lesion experienced relapses within 90 days compared to patients with sNfL <16 pg/mL and/or no Gd+ lesions. Conclusion sNfL levels were reduced within 6 months and remained low at 36 months. Results suggest that the combination of lesion activity and sNfL was a stronger predictor of relapse than either factor alone.
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Affiliation(s)
- Gary Cutter
- Gary Cutter, Department of Biostatistics,
The University of Alabama at Birmingham, 1665 University Boulevard, Birmingham,
AL 35233, USA.
| | - Richard A Rudick
- Department of Neurology, Biogen Inc, Cambridge, MA, USA, at the time of these analyses
| | - Carl de Moor
- Biostatistics, Biogen Inc, Cambridge, MA, USA, at the time of these analyses
| | - Carol M Singh
- Biogen Digital Health, Biogen Inc, Cambridge, MA, USA
| | - Elizabeth Fisher
- Value Based Medicine, Biogen Inc, Cambridge, MA, USA, at the time of these analyses
| | - Thijs Koster
- Global Medical, Biogen Inc, Cambridge, MA, USA, at the time of these analyses
| | - Fred D Lublin
- Department of Neurology, Corinne Goldsmith
Dickinson Center for Multiple Sclerosis, New York, NY, USA and Friedman
Brain Institute, Icahn School of Medicine at Mount
Sinai, New York, NY, USA
| | - Jerry S Wolinsky
- McGovern Medical School, The University of
Texas Health Science Center at Houston (UTHealth), Houston, TX, USA
| | - Henry McFarland
- National Institute of Neurological Disorders
and Stroke, National Institutes of
Health, Bethesda, MD, USA
| | - Steven Jacobson
- Viral Immunology Section, National Institute
of Neurological Disorders and Stroke, National Institutes of
Health, Bethesda, MD, USA
| | - Maria L Naylor
- Global Medical, Biogen Inc, Cambridge, MA, USA, at the time of these analyses
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Kim JS. Protein biomarkers in multiple sclerosis. ENCEPHALITIS 2023; 3:54-63. [PMID: 37469674 PMCID: PMC10295828 DOI: 10.47936/encephalitis.2022.00101] [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: 10/15/2022] [Accepted: 01/18/2023] [Indexed: 07/21/2023] Open
Abstract
This review aimed to elucidate protein biomarkers in body fluids, such as blood and cerebrospinal fluid (CSF), to identify those that may be used for early diagnosis of multiple sclerosis (MS), prediction of disease activity, and monitoring of treatment response among MS patients. The potential biomarkers elucidated in this review include neurofilament proteins (NFs), glial fibrillary acidic protein (GFAP), leptin, brain-derived neurotrophic factor (BDNF), chitinase-3-like protein 1 (CHI3L1), C-X-C motif chemokine 13 (CXCL13), and osteopontin (OPN), with each biomarker playing a different role in MS. GFAP, leptin, and CHI3L1 levels were increased in MS patient groups compared to the control group. NFs are the most studied proteins in the MS field, and significant correlations with disease activity, future progression, and treatment outcomes are evident. GFAP CSF level shows a different pattern by MS subtype. Increased concentration of CHI3L1 in the blood/CSF of clinically isolated syndrome (CIS) is an independent predictive factor of conversion to definite MS. BDNF may be affected by chronic progression of MS. CHI3L1 has potential as a biomarker for early diagnosis of MS and prediction of disability progression, while CXCL13 has potential as a biomarker of prognosis of CIS and reflects MS disease activity. OPN was an indicator of disease severity. A periodic detailed patient evaluation should be performed for MS patients, and broadly and easily accessible biomarkers with higher sensitivity and specificity in clinical settings should be identified.
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Affiliation(s)
- Jun-Soon Kim
- Department of Neurology, Seoul National University Bundang Hospital, Seongnam, Korea
- Department of Neurology, Seoul National University College of Medicine, Seoul, Korea
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Monreal E, Fernández-Velasco JI, García-Sánchez MI, Sainz de la Maza S, Llufriu S, Álvarez-Lafuente R, Casanova B, Comabella M, Ramió-Torrentà L, Martínez-Rodríguez JE, Brieva L, Saiz A, Eichau S, Cabrera-Maqueda JM, Villarrubia N, Espiño M, Pérez-Miralles F, Montalbán X, Tintoré M, Quiroga-Varela A, Domínguez-Mozo MI, Rodríguez-Jorge F, Chico-García JL, Lourido D, Álvarez-Cermeño JC, Masjuan J, Costa-Frossard L, Villar LM. Association of Serum Neurofilament Light Chain Levels at Disease Onset With Disability Worsening in Patients With a First Demyelinating Multiple Sclerosis Event Not Treated With High-Efficacy Drugs. JAMA Neurol 2023; 80:397-403. [PMID: 36848127 PMCID: PMC9972238 DOI: 10.1001/jamaneurol.2023.0010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/23/2022] [Indexed: 03/01/2023]
Abstract
Importance The value of serum neurofilament light chain (sNfL) levels for predicting long-term disability in patients with multiple sclerosis (MS) remains controversial. Objective To assess whether high sNfL values are associated with disability worsening in patients who underwent their first demyelinating MS event. Design, Setting, and Participants This multicenter cohort study included patients who underwent their first demyelinating event suggestive of MS at Hospital Universitario Ramón y Cajal (development cohort; June 1, 1994, to September 31, 2021, with follow-up until August 31, 2022) and 8 Spanish hospitals (validation cohort; October 1, 1995, to August 4, 2020, with follow-up until August 16, 2022). Exposures Clinical evaluations at least every 6 months. Main Outcomes and Measures The main outcomes were 6-month confirmed disability worsening (CDW) and an Expanded Disability Status Scale (EDSS) score of 3. Levels of sNfL were measured in blood samples obtained within 12 months after disease onset using a single molecule array kit. The cutoffs used were sNfL level of 10 pg/mL and a standardized score (z score) of 1.5. Multivariable Cox proportional hazards regression models were used to evaluate outcomes. Results Of the 578 patients included in the study, 327 were in the development cohort (median age at sNfL analysis, 34.1 years [IQR, 27.2-42.7 years]; 226 female [69.1%]) and 251 patients were in the validation cohort (median age at sNfL analysis, 33.3 years [IQR, 27.4-41.5 years]; 184 female [73.3%]). The median follow-up was 7.10 years (IQR, 4.18-10.0 years). Levels of sNfL greater than 10 pg/mL were independently associated with higher risk of 6-month CDW and an EDSS of 3 in the development cohort (6-month CDW: hazard ratio [HR], 2.39; 95% CI, 1.39-4.12; P = .002; EDSS of 3: HR, 4.12; 95% CI, 2.18-7.77; P < .001) and the validation cohort (6-month CDW: HR, 1.61; 95% CI, 1.07-2.42; P = .02; EDSS of 3: HR, 2.03; 95% CI, 1.23-3.33; P = .005). Highly effective disease-modifying treatments were associated with lower risks of 6-month CDW and an EDSS of 3 in patients with high baseline sNfL values. Conclusions and Relevance This cohort study found that high sNfL values obtained within the first year of disease were associated with long-term disability worsening in MS, suggesting that sNfL level measurement may help identify optimal candidates for highly effective disease-modifying treatments.
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Affiliation(s)
- Enric Monreal
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - José Ignacio Fernández-Velasco
- Department of Immunology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - María Isabel García-Sánchez
- Nodo Biobanco Hospital Virgen Macarena (Biobanco del Sistema Sanitario Público de Andalucía), Hospital Universitario Virgen Macarena, Sevilla, Spain
| | - Susana Sainz de la Maza
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Sara Llufriu
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer and Universitat de Barcelona, Barcelona, Spain
| | - Roberto Álvarez-Lafuente
- Grupo Investigación de Factores Ambientales en Enfermedades Degenerativas, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Bonaventura Casanova
- Multiple Sclerosis and Neuroimmunology Research Group, Fundación para la Investigación La Fe, Valencia, Spain
| | - Manuel Comabella
- Servei de Neurologia, Centre d’Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d’Hebron, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lluís Ramió-Torrentà
- Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Doctor Josep Trueta University Hospital, Girona, Spain
- Neuroimmunology and Multiple Sclerosis Research Group, Girona Biomedical Research Institute, Doctor Josep Trueta University Hospital, Catalonia, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain
| | | | - Luis Brieva
- Hospital Arnau de Vilanova de Lleida, Universitat de Lleida Medicine Department, Institut de Recerca Biomèdica de Lleida, Lleida, Spain
| | - Albert Saiz
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer and Universitat de Barcelona, Barcelona, Spain
| | - Sara Eichau
- Multiple Sclerosis Unit, Hospital Virgen Macarena, Sevilla, Spain
| | - José María Cabrera-Maqueda
- Center of Neuroimmunology, Laboratory of Advanced Imaging in Neuroimmunological Diseases, Hospital Clinic Barcelona, Institut d’Investigacions Biomèdiques August Pi i Sunyer and Universitat de Barcelona, Barcelona, Spain
| | - Noelia Villarrubia
- Department of Immunology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Mercedes Espiño
- Department of Immunology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Francisco Pérez-Miralles
- Multiple Sclerosis and Neuroimmunology Research Group, Fundación para la Investigación La Fe, Valencia, Spain
| | - Xavier Montalbán
- Servei de Neurologia, Centre d’Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d’Hebron, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Mar Tintoré
- Servei de Neurologia, Centre d’Esclerosi Múltiple de Catalunya, Institut de Recerca Vall d’Hebron, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Ana Quiroga-Varela
- Neuroimmunology and Multiple Sclerosis Unit, Department of Neurology, Doctor Josep Trueta University Hospital, Girona, Spain
- Neuroimmunology and Multiple Sclerosis Research Group, Girona Biomedical Research Institute, Doctor Josep Trueta University Hospital, Catalonia, Spain
- Department of Medical Sciences, School of Medicine, University of Girona, Girona, Spain
| | - María Inmaculada Domínguez-Mozo
- Grupo Investigación de Factores Ambientales en Enfermedades Degenerativas, Instituto de Investigación Sanitaria del Hospital Clínico San Carlos, Madrid, Spain
| | - Fernando Rodríguez-Jorge
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Juan Luís Chico-García
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Daniel Lourido
- Department of Radiology, Hospital Universitario Ramón y Cajal, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - José Carlos Álvarez-Cermeño
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Jaime Masjuan
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Lucienne Costa-Frossard
- Department of Neurology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
| | - Luisa María Villar
- Department of Immunology, Hospital Universitario Ramón y Cajal, La Red Española de Esclerosis Múltiple, Instituto Ramón y Cajal de Investigación Sanitaria, Universidad de Alcalá, Madrid, Spain
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Bavato F, Kexel AK, Kluwe-Schiavon B, Maceski A, Baumgartner MR, Seifritz E, Kuhle J, Quednow BB. A Longitudinal Investigation of Blood Neurofilament Light Chain Levels in Chronic Cocaine Users. Mol Neurobiol 2023; 60:3935-3944. [PMID: 37000398 DOI: 10.1007/s12035-023-03327-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 03/20/2023] [Indexed: 04/01/2023]
Abstract
The identification of a blood marker of brain pathology that is sensitive to substance-induced neurotoxicity and dynamically responds to longitudinal changes in substance intake would substantially improve clinical monitoring in the field of substance use and addiction. Here, we explored the hypothesis that plasma levels of neurofilament light chain (NfL), a promising marker of neuroaxonal pathology, are elevated in chronic cocaine users and longitudinally associated with changes in cocaine use. Plasma NfL levels were determined using single molecule array (SIMOA) technology at baseline and at a 4-month follow-up. Substance use was subjectively assessed with an extensive interview and objectively measured via toxicological analysis of urine and 4-month hair samples. In a generalized linear model corrected for sex, age, and body mass index, NfL plasma levels were elevated in cocaine users (n=35) compared to stimulant-naïve healthy controls (n=35). A positive correlation between cocaine hair concentration and NfL levels was also found. Changes in cocaine hair concentration (group analysis of increasers vs. decreasers) over the 4-month interval predicted NfL levels at follow-up, indicating a rise in NfL with increased cocaine use and a reduction with decreased use. No associations between use or change of use of other substances (including the neurotoxic cocaine adulterant levamisole) and NfL levels were found. Our findings demonstrate that NfL is a sensitive marker for assessing cocaine-related neuroaxonal pathology, supporting the utility of blood NfL analysis in addiction research but also suggesting the detailed assessment of substance use in neurological studies and diagnostics.
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Affiliation(s)
- Francesco Bavato
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, CH-8032, Zurich, Switzerland.
| | - Ann-Kathrin Kexel
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, CH-8032, Zurich, Switzerland
| | - Bruno Kluwe-Schiavon
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, CH-8032, Zurich, Switzerland
| | - Aleksandra Maceski
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Markus R Baumgartner
- Center of Forensic Hairanalytics, Institute of Forensic Medicine, University of Zurich, Zurich, Switzerland
| | - Erich Seifritz
- Department of Psychiatry, Psychotherapy and Psychosomatics; Psychiatric University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, Departments of Medicine, Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Boris B Quednow
- Experimental and Clinical Pharmacopsychology, Department of Psychiatry, Psychotherapy and Psychosomatics, Psychiatric University Hospital Zurich, University of Zurich, Lenggstrasse 31, CH-8032, Zurich, Switzerland
- Neuroscience Center Zurich, University of Zurich and Swiss Federal Institute of Technology Zurich, Zurich, Switzerland
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Al-Hakeim HK, Al-Naqeeb TH, Almulla AF, Maes M. The physio-affective phenome of major depression is strongly associated with biomarkers of astroglial and neuronal projection toxicity which in turn are associated with peripheral inflammation, insulin resistance and lowered calcium. J Affect Disord 2023; 331:300-312. [PMID: 36996718 DOI: 10.1016/j.jad.2023.03.072] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Revised: 02/28/2023] [Accepted: 03/21/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND Major depressive disorder (MDD) is characterized by elevated activity of peripheral neuro-immune and neuro-oxidative pathways, which may cause neuro-affective toxicity by disrupting neuronal circuits in the brain. No study has explored peripheral indicators of neuroaxis damage in MDD in relation to serum inflammatory and insulin resistance (IR) biomarkers, calcium, and the physio-affective phenome consisting of depressive, anxious, chronic fatigue, and physiosomatic symptoms. METHODS Serum levels of phosphorylated tau protein 217 (P-tau217), platelet-derived growth factor receptor beta (PDGFR), neurofilament light chain (NF-L), glial fibrillary acidic protein (GFAP), C-reactive protein (CRP), calcium and the HOMA2-insulin resistance (IR) index were measured in 94 MDD patients and 47 controls. RESULTS 61.1 % of the variance in the physio-affective phenome (conceptualized as a factor extracted from depression, anxiety, fatigue and physiosomatic symptoms) is explained by the regression on GFAP, NF-L, P-tau2017, PDGFRβ and HOMA2-IR (all positively associated), and decreased calcium. In addition, CRP and HOMA2-IR predicted 28.9 % of the variance in the neuroaxis index. We observed significant indirect effects of CRP and calcium on the physio-affective phenome which were partly mediated by the four neuroaxis biomarkers. Annotation and enrichment analysis revealed that the enlarged GFAP, P-tau217, PDGFR, and NF-L network was enriched in glial cell and neuronal projections, the cytoskeleton and axonal transport, including a mitochondrion. CONCLUSIONS Peripheral inflammation and IR may damage the astroglial and neuronal projections thereby interfering with mitochondrial transport. This neurotoxicity, combined with inflammation, IR and lowered calcium, may, at least in part, induce the phenome of MDD.
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Affiliation(s)
| | | | - Abbas F Almulla
- Medical Laboratory Technology Department, College of Medical Technology, The Islamic University, Najaf, Iraq
| | - Michael Maes
- Department of Psychiatry, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand; Department of Psychiatry, Medical University of Plovdiv, Plovdiv, Bulgaria; School of Medicine, IMPACT Strategic Research Centre, Deakin University, Geelong, Australia; Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul 02447, Korea.
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Meier S, Willemse EA, Schaedelin S, Oechtering J, Lorscheider J, Melie-Garcia L, Cagol A, Barakovic M, Galbusera R, Subramaniam S, Barro C, Abdelhak A, Thebault S, Achtnichts L, Lalive P, Müller S, Pot C, Salmen A, Disanto G, Zecca C, D’Souza M, Orleth A, Khalil M, Buchmann A, Du Pasquier R, Yaldizli Ö, Derfuss T, Berger K, Hermesdorf M, Wiendl H, Piehl F, Battaglini M, Fischer U, Kappos L, Gobbi C, Granziera C, Bridel C, Leppert D, Maleska Maceski A, Benkert P, Kuhle J. Serum Glial Fibrillary Acidic Protein Compared With Neurofilament Light Chain as a Biomarker for Disease Progression in Multiple Sclerosis. JAMA Neurol 2023; 80:287-297. [PMID: 36745446 PMCID: PMC10011932 DOI: 10.1001/jamaneurol.2022.5250] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 11/23/2022] [Indexed: 02/07/2023]
Abstract
Importance There is a lack of validated biomarkers for disability progression independent of relapse activity (PIRA) in multiple sclerosis (MS). Objective To determine how serum glial fibrillary acidic protein (sGFAP) and serum neurofilament light chain (sNfL) correlate with features of disease progression vs acute focal inflammation in MS and how they can prognosticate disease progression. Design, Setting, and Participants Data were acquired in the longitudinal Swiss MS cohort (SMSC; a consortium of tertiary referral hospitals) from January 1, 2012, to October 20, 2022. The SMSC is a prospective, multicenter study performed in 8 centers in Switzerland. For this nested study, participants had to meet the following inclusion criteria: cohort 1, patients with MS and either stable or worsening disability and similar baseline Expanded Disability Status Scale scores with no relapses during the entire follow-up; and cohort 2, all SMSC study patients who had initiated and continued B-cell-depleting treatment (ie, ocrelizumab or rituximab). Exposures Patients received standard immunotherapies or were untreated. Main Outcomes and Measures In cohort 1, sGFAP and sNfL levels were measured longitudinally using Simoa assays. Healthy control samples served as the reference. In cohort 2, sGFAP and sNfL levels were determined cross-sectionally. Results This study included a total of 355 patients (103 [29.0%] in cohort 1: median [IQR] age, 42.1 [33.2-47.6] years; 73 female patients [70.9%]; and 252 [71.0%] in cohort 2: median [IQR] age, 44.3 [33.3-54.7] years; 156 female patients [61.9%]) and 259 healthy controls with a median [IQR] age of 44.3 [36.3-52.3] years and 177 female individuals (68.3%). sGFAP levels in controls increased as a function of age (1.5% per year; P < .001), were inversely correlated with BMI (-1.1% per BMI unit; P = .01), and were 14.9% higher in women than in men (P = .004). In cohort 1, patients with worsening progressive MS showed 50.9% higher sGFAP levels compared with those with stable MS after additional sNfL adjustment, whereas the 25% increase of sNfL disappeared after additional sGFAP adjustment. Higher sGFAP at baseline was associated with accelerated gray matter brain volume loss (per doubling: 0.24% per year; P < .001) but not white matter loss. sGFAP levels remained unchanged during disease exacerbations vs remission phases. In cohort 2, median (IQR) sGFAP z scores were higher in patients developing future confirmed disability worsening compared with those with stable disability (1.94 [0.36-2.23] vs 0.71 [-0.13 to 1.73]; P = .002); this was not significant for sNfL. However, the combined elevation of z scores of both biomarkers resulted in a 4- to 5-fold increased risk of confirmed disability worsening (hazard ratio [HR], 4.09; 95% CI, 2.04-8.18; P < .001) and PIRA (HR, 4.71; 95% CI, 2.05-9.77; P < .001). Conclusions and Relevance Results of this cohort study suggest that sGFAP is a prognostic biomarker for future PIRA and revealed its complementary potential next to sNfL. sGFAP may serve as a useful biomarker for disease progression in MS in individual patient management and drug development.
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Affiliation(s)
- Stephanie Meier
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Eline A.J. Willemse
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sabine Schaedelin
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Johanna Oechtering
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Johannes Lorscheider
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Lester Melie-Garcia
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Alessandro Cagol
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Muhamed Barakovic
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Riccardo Galbusera
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Suvitha Subramaniam
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Christian Barro
- Department of Neurology, Harvard Medical School, Boston, Massachusetts
| | - Ahmed Abdelhak
- Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco
| | - Simon Thebault
- Department of Medicine and the Ottawa Hospital Research Institute, The University of Ottawa, Ottawa, Ontario, Canada
| | - Lutz Achtnichts
- Department of Neurology, Cantonal Hospital Aarau, Aarau, Switzerland
| | - Patrice Lalive
- Unit of Neuroimmunology, Division of Neurology, Department of Clinical Neurosciences, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - Stefanie Müller
- Department of Neurology, Cantonal Hospital St Gallen, St Gallen, Switzerland
| | - Caroline Pot
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital, University of Lausanne, Lausanne, Switzerland
| | - Anke Salmen
- Department of Neurology, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Giulio Disanto
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Chiara Zecca
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Marcus D’Souza
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Annette Orleth
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Michael Khalil
- Department of Neurology, Medical University of Graz, Graz, Austria
| | | | - Renaud Du Pasquier
- Service of Neurology, Department of Clinical Neurosciences, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Özgür Yaldizli
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Tobias Derfuss
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Klaus Berger
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Marco Hermesdorf
- Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany
| | - Heinz Wiendl
- Department of Neurology with Institute of Translational Neurology, University Hospital Münster, Münster, Germany
| | - Fredrik Piehl
- Department of Clinical Neuroscience, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
- Center for Neurology, Academic Specialist Center, Stockholm Health Services, Stockholm, Sweden
| | - Marco Battaglini
- Department of Medicine, Surgery and Neurosciences, University of Siena, Siena, Italy
| | - Urs Fischer
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Ludwig Kappos
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Claudio Gobbi
- Multiple Sclerosis Center, Department of Neurology, Neurocenter of Southern Switzerland, Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Lugano, Switzerland
| | - Cristina Granziera
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Translational Imaging in Neurology Basel, Department of Biomedical Engineering, Faculty of Medicine, University Hospital Basel and University of Basel, Basel, Switzerland
| | - Claire Bridel
- Unit of Neuroimmunology, Division of Neurology, Department of Clinical Neurosciences, University Hospital of Geneva and Faculty of Medicine, Geneva, Switzerland
| | - David Leppert
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Aleksandra Maleska Maceski
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
| | - Pascal Benkert
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
- Department of Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
- Multiple Sclerosis Centre, Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience Basel, University Hospital and University of Basel, Switzerland
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Sá MJ, Basílio C, Capela C, Cerqueira JJ, Mendes I, Morganho A, Correia de Sá J, Salgado V, Martins Silva A, Vale J, Sousa L. Consensus for the Early Identification of Secondary Progressive Multiple Sclerosis in Portugal: a Delphi Panel. ACTA MEDICA PORT 2023; 36:167-173. [PMID: 36735763 DOI: 10.20344/amp.18543] [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: 05/10/2022] [Accepted: 08/24/2022] [Indexed: 02/04/2023]
Abstract
INTRODUCTION Multiple sclerosis is a disease with a heterogeneous evolution. The early identification of secondary progressive multiple sclerosis is a clinical challenge, which would benefit from the definition of biomarkers and diagnostic tools applicable in the transition phase from relapsing-remitting multiple sclerosis to secondary progressive multiple sclerosis. We aimed to reach a Portuguese national consensus on the monitoring of patients with multiple sclerosis and on the more relevant clinical variables for the early identification of its progression. MATERIAL AND METHODS A Delphi panel which included eleven Portuguese Neurologists participated in two rounds of questions between July and August of 2021. In the first round, 39 questions which belonged to the functional, cognitive, imaging, biomarkers and additional evaluations were included. Questions for which no consensus was obtained in the first round (less than 80% of agreement), were appraised by the panel during the second round. RESULTS The response rate was 100% in both rounds and consensus was reached for a total of 33 questions (84.6%). Consensus was reached for monitoring time, evaluation scales and clinical variables such as the degree of brain atrophy and mobility reduction, changes suggestive of secondary progressive multiple sclerosis. Additionally, digital devices were considered tools with potential to identify disease progression. Most questions for which no consensus was obtained referred to the cognitive assessment and the remaining referred to both functional and imaging domains. CONCLUSION Consensus was obtained for the determination of the monitorization interval and for most of the clinical variables. Most questions that did not reach consensus were related with the confirmation of progression taking into account only one test/domain, reinforcing the multifactorial nature of multiple sclerosis.
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Affiliation(s)
- Maria José Sá
- Serviço de Neurologia. Centro Hospitalar e Universitário de São João. Porto. Portugal
| | - Carlos Basílio
- Serviço de Neurologia. Centro Hospitalar Universitário do Algarve. Faro. Portugal
| | - Carlos Capela
- Serviço de Neurologia. Centro Hospitalar Universitário de Lisboa Central. Lisboa. Portugal
| | | | - Irene Mendes
- Serviço de Neurologia. Hospital Garcia de Orta. Almada. Portugal
| | - Armando Morganho
- Serviço de Neurologia. Hospital Dr. Nélio Mendonça. Funchal. Portugal
| | - João Correia de Sá
- Serviço de Neurologia. Hospital de Santa Maria. Centro Hospitalar Universitário de Lisboa Norte. Lisboa. Portugal
| | - Vasco Salgado
- Serviço de Neurologia. Hospital Professor Doutor Fernando Fonseca. Amadora. Portugal
| | - Ana Martins Silva
- Serviço de Neurologia. Centro Hospitalar Universitário do Porto. Porto. Portugal
| | - José Vale
- Serviço de Neurologia. Hospital Beatriz Ângelo. Loures. Portugal
| | - Lívia Sousa
- Serviço de Neurologia. Centro Hospitalar e Universitário de Coimbra. Coimbra. Portugal
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Rispoli MG, D'Apolito M, Pozzilli V, Tomassini V. Lessons from immunotherapies in multiple sclerosis. HANDBOOK OF CLINICAL NEUROLOGY 2023; 193:293-311. [PMID: 36803817 DOI: 10.1016/b978-0-323-85555-6.00013-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
Abstract
The improved understanding of multiple sclerosis (MS) neurobiology alongside the development of novel markers of disease will allow precision medicine to be applied to MS patients, bringing the promise of improved care. Combinations of clinical and paraclinical data are currently used for diagnosis and prognosis. The addition of advanced magnetic resonance imaging and biofluid markers has been strongly encouraged, since classifying patients according to the underlying biology will improve monitoring and treatment strategies. For example, silent progression seems to contribute significantly more than relapses to overall disability accumulation, but currently approved treatments for MS act mainly on neuroinflammation and offer only a partial protection against neurodegeneration. Further research, involving traditional and adaptive trial designs, should strive to halt, repair or protect against central nervous system damage. To personalize new treatments, their selectivity, tolerability, ease of administration, and safety must be considered, while to personalize treatment approaches, patient preferences, risk-aversion, and lifestyle must be factored in, and patient feedback used to indicate real-world treatment efficacy. The use of biosensors and machine-learning approaches to integrate biological, anatomical, and physiological parameters will take personalized medicine a step closer toward the patient's virtual twin, in which treatments can be tried before they are applied.
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Affiliation(s)
- Marianna G Rispoli
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy
| | - Maria D'Apolito
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy
| | - Valeria Pozzilli
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy
| | - Valentina Tomassini
- Institute for Advanced Biomedical Technologies (ITAB) and Department of Neurosciences, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Chieti, Italy; MS Centre, SS. Annunziata University Hospital, Chieti, Italy.
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Abu-Rumeileh S, Abdelhak A, Foschi M, D'Anna L, Russo M, Steinacker P, Kuhle J, Tumani H, Blennow K, Otto M. The multifaceted role of neurofilament light chain protein in non-primary neurological diseases. Brain 2023; 146:421-437. [PMID: 36083979 PMCID: PMC9494370 DOI: 10.1093/brain/awac328] [Citation(s) in RCA: 37] [Impact Index Per Article: 37.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 09/02/2022] [Accepted: 09/02/2022] [Indexed: 11/17/2022] Open
Abstract
The advancing validation and exploitation of CSF and blood neurofilament light chain protein as a biomarker of neuroaxonal damage has deeply changed the current diagnostic and prognostic approach to neurological diseases. Further, recent studies have provided evidence of potential new applications of this biomarker also in non-primary neurological diseases. In the present review we summarize the state of the art, future perspectives, but also limitations, of neurofilament light chain protein as a CSF and blood biomarker in several medical fields, including intensive care medicine, surgery, internal medicine and psychiatry. In particular, neurofilament light chain protein is associated with the degree of neurological impairment and outcome in patients admitted to intensive care units or in the perioperative phase and it seems to be highly interconnected with cardiovascular risk factors. Beyond that, interesting diagnostic and prognostic insights have been provided by the investigation of neurofilament light chain protein in psychiatric disorders as well as in the current coronavirus disease-19 pandemic and in normal ageing. Altogether, current data outline a multifaceted applicability of CSF and blood neurofilament light chain protein ranging from the critical clinical setting to the development of precision medicine models suggesting a strict interplay between the nervous system pathophysiology and the health-illness continuum.
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Affiliation(s)
- Samir Abu-Rumeileh
- Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany
| | - Ahmed Abdelhak
- Department of Neurology, University of California San Francisco (UCSF), San Francisco, USA
- Department of Neurology, Ulm University Hospital, Ulm, Germany
| | - Matteo Foschi
- Department of Neuroscience, Neurology Unit – S. Maria delle Croci Hospital of Ravenna, AUSL Romagna, Ravenna, Italy
| | - Lucio D'Anna
- Department of Stroke and Neuroscience, Charing Cross Hospital, Imperial College London, NHS Healthcare Trust, London, UK
- Department of Brain Sciences, Imperial College London, London, UK
| | - Michele Russo
- Department of Cardiology, S. Maria dei Battuti Hospital, AULSS 2 Veneto, Conegliano, Italy
| | - Petra Steinacker
- Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany
| | - Jens Kuhle
- Neurologic Clinic and Policlinic, MS Center and Research Center for Clinical Neuroimmunology and Neuroscience Basel (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital Basel, University of Basel, Basel, Switzerland
| | | | - 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
| | - Markus Otto
- Department of Neurology, Martin-Luther-University of Halle-Wittenberg, Halle (Saale), Germany
- Department of Neurology, Ulm University Hospital, Ulm, Germany
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Foley J, Xiong K, Hoyt T, Singh CM, Riddle E, de Moor C, Plavina T, Campbell N. Serum neurofilament light levels in natalizumab-treated patients with multiple sclerosis who switch to extended interval dosing from every-4-week dosing in real-world clinical practice. Mult Scler 2023; 29:196-205. [PMID: 36377744 DOI: 10.1177/13524585221130949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Serum levels of neurofilament light chain (sNfL) are a potentially useful biomarker for assessing the efficacy of multiple sclerosis (MS) treatments. OBJECTIVE To compare levels of sNfL in patients with MS who switched from natalizumab every 4 weeks (Q4W) to extended interval dosing (EID) and patients who remained on Q4W dosing in real-world clinical practice. METHODS This was a retrospective analysis of samples from patients treated with natalizumab from 2010 to 2015 at a single center in the United States. Levels of sNfL were compared in patients who stayed on Q4W dosing or who switched to EID (parallel-arm analyses) and during Q4W and EID periods in patients who switched to EID (pre- and post-switch analyses). RESULTS The analysis included 139 patients (Q4W: n = 79; EID: n = 60). After adjustment, levels of sNfL did not significantly differ between patients who remained on Q4W dosing and those who switched to EID in parallel-arm analyses (adjusted Q4W-EID difference = 0.51 pg/mL; p = 0.60) or pre- and post-switch analyses (adjusted difference = 0.96 pg/mL; p = 0.10). CONCLUSION These sNfL biomarker results suggest that the effectiveness of natalizumab is maintained in patients who switch from Q4W dosing to EID.
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Affiliation(s)
- John Foley
- Rocky Mountain Multiple Sclerosis Clinic, Salt Lake City, UT, USA
| | | | - Tammy Hoyt
- Rocky Mountain Multiple Sclerosis Clinic, Salt Lake City, UT, USA
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Sotirchos ES, Fitzgerald KC, Singh CM, Smith MD, Reyes‐Mantilla M, Hersh CM, Hyland MH, Canissario R, Simmons SB, Arrambide G, Montalban X, Comabella M, Naismith RT, Qiao M, Krupp LB, Nicholas JA, Akgün K, Ziemssen T, Rudick R, Fisher E, Bermel RA, Mowry EM, Calabresi PA. Associations of sNfL with clinico-radiological measures in a large MS population. Ann Clin Transl Neurol 2023; 10:84-97. [PMID: 36427295 PMCID: PMC9852396 DOI: 10.1002/acn3.51704] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Revised: 11/03/2022] [Accepted: 11/08/2022] [Indexed: 11/27/2022] Open
Abstract
OBJECTIVE Evaluation of serum neurofilament light chain (sNfL), measured using high-throughput assays on widely accessible platforms in large, real-world MS populations, is a critical step for sNfL to be utilized in clinical practice. METHODS Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS) is a network of healthcare institutions in the United States and Europe collecting standardized clinical/imaging data and biospecimens during routine clinic visits. sNfL was measured in 6974 MS and 201 healthy control (HC) participants, using a high-throughput, scalable immunoassay. RESULTS Elevated sNfL levels for age (sNfL-E) were found in 1238 MS participants (17.8%). Factors associated with sNfL-E included male sex, younger age, progressive disease subtype, diabetes mellitus, impaired renal function, and active smoking. Higher body mass index (BMI) was associated with lower odds of elevated sNfL. Active treatment with disease-modifying therapy was associated with lower odds of sNfL-E. MS participants with sNfL-E exhibited worse neurological function (patient-reported disability, walking speed, manual dexterity, and cognitive processing speed), lower brain parenchymal fraction, and higher T2 lesion volume. Longitudinal analyses revealed accelerated short-term rates of whole brain atrophy in sNfL-E participants and higher odds of new T2 lesion development, although both MS participants with or without sNfL-E exhibited faster rates of whole brain atrophy compared to HC. Findings were consistent in analyses examining age-normative sNfL Z-scores as a continuous variable. INTERPRETATION Elevated sNfL is associated with clinical disability, inflammatory disease activity, and whole brain atrophy in MS, but interpretation needs to account for comorbidities including impaired renal function, diabetes, and smoking.
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Affiliation(s)
- Elias S. Sotirchos
- Present address:
Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Kathryn C. Fitzgerald
- Present address:
Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | | | - Matthew D. Smith
- Present address:
Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Maria Reyes‐Mantilla
- Present address:
Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Carrie M. Hersh
- Lou Ruvo Center for Brain HealthCleveland ClinicLas VegasNevadaUSA
| | - Megan H. Hyland
- Department of NeurologyUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Ryan Canissario
- Department of NeurologyUniversity of Rochester Medical CenterRochesterNew YorkUSA
| | - Sarah B. Simmons
- Mellen Center, Neurological Institute, Cleveland ClinicClevelandOhioUSA
| | - Georgina Arrambide
- Department of Neurology and Centre d'Esclerosi Múltiple de CatalunyaVall d'Hebron Hospital Universitari, Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Xavier Montalban
- Department of Neurology and Centre d'Esclerosi Múltiple de CatalunyaVall d'Hebron Hospital Universitari, Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Manuel Comabella
- Department of Neurology and Centre d'Esclerosi Múltiple de CatalunyaVall d'Hebron Hospital Universitari, Universitat Autònoma de BarcelonaBarcelonaSpain
| | - Robert T. Naismith
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Min Qiao
- Department of NeurologyWashington University in St. LouisSt. LouisMissouriUSA
| | - Lauren B. Krupp
- Department of NeurologyNew York UniversityNew York CityNew YorkUSA
| | | | - Katja Akgün
- Center of Clinical Neuroscience, Department of NeurologyUniversity Clinic Carl‐Gustav CarusDresdenGermany
| | - Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of NeurologyUniversity Clinic Carl‐Gustav CarusDresdenGermany
| | | | | | - Robert A. Bermel
- Mellen Center, Neurological Institute, Cleveland ClinicClevelandOhioUSA
| | - Ellen M. Mowry
- Present address:
Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
| | - Peter A. Calabresi
- Present address:
Department of NeurologyJohns Hopkins University School of MedicineBaltimoreMarylandUSA
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Barro C, Healy BC, Liu Y, Saxena S, Paul A, Polgar-Turcsanyi M, Guttmann CR, Bakshi R, Kropshofer H, Weiner HL, Chitnis T. Serum GFAP and NfL Levels Differentiate Subsequent Progression and Disease Activity in Patients With Progressive Multiple Sclerosis. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2023; 10:10/1/e200052. [DOI: 10.1212/nxi.0000000000200052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022]
Abstract
Background and ObjectivesNeurodegeneration and astrocytic activation are pathologic hallmarks of progressive multiple sclerosis (MS) and can be quantified by serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP). We investigated sNfL and sGFAP as tools for stratifying patients with progressive MS based on progression and disease activity status.MethodsWe leveraged our Comprehensive Longitudinal Investigation of MS at the Brigham and Women's Hospital (CLIMB) natural history study, which includes clinical, MRI data and serum samples collected over more than 20 years. We included patients with MS with a confirmed Expanded Disability Status Scale (EDSS) score ≥3 that corresponds with our classifier for patients at high risk of underlying progressive pathology. We analyzed sNfL and sGFAP within 6 months from the confirmed EDSS score ≥3 corresponding with our baseline visit. Patients who further developed 6-month confirmed disability progression (6mCDP) were classified as progressors. We further stratified our patients into active/nonactive based on new brain/spinal cord lesions or relapses in the 2 years before baseline or during follow-up. Statistical analysis on log-transformed sGFAP/sNfL assessed the baseline association with demographic, clinical, and MRI features and associations with future disability.ResultsWe included 257 patients with MS who had an average EDSS score of 4.0 and a median follow-up after baseline of 7.6 years. sNfL was higher in patients with disease activity in the 2 years before baseline (adjusted β = 1.21; 95% CI 1.04–1.42;p= 0.016), during the first 2 years of follow-up (adjusted β = 1.17; 95% CI = 1.01–1.36;p= 0.042). sGFAP was not increased in the presence of disease activity. Higher sGFAP levels, but not sNfL levels, were associated with higher risk of 6mCDP (adjusted hazard ratio [HR] = 1.71; 95% CI = 1.19–2.45;p= 0.004). The association was stronger in patients with low sNfL (adjusted HR = 2.44; 95% CI 1.32–4.52;p= 0.005) and patients who were nonactive in the 2 years prior or after the sample.DiscussionHigher levels of sGFAP correlated with subsequent progression, particularly in nonactive patients, whereas sNfL reflected acute disease activity in patients with MS at high risk of underlying progressive pathology. Thus, sGFAP and sNfL levels may be used to stratify patients with progressive MS for clinical research studies and clinical trials and may inform clinical care.
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Pape K, Rolfes L, Steffen F, Muthuraman M, Korsen M, Meuth SG, Zipp F, Bittner S. Comparative effectiveness of natalizumab versus ocrelizumab in multiple sclerosis: a real-world propensity score-matched study. Ther Adv Neurol Disord 2022; 15:17562864221142924. [PMID: 36568489 PMCID: PMC9772974 DOI: 10.1177/17562864221142924] [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: 04/30/2022] [Accepted: 11/16/2022] [Indexed: 12/23/2022] Open
Abstract
Background For treatment of relapsing-remitting multiple sclerosis (RRMS), a broad range of disease-modifying therapies (DMT) is available. However, few comparative effectiveness studies between different drugs have been performed. Objectives This study aimed to compare the efficacy and treatment continuation of natalizumab and ocrelizumab in a real-world cohort of patients with relapsing-remitting multiple sclerosis (RRMS) from two German university hospitals. Methods We performed a retrospective analysis of RRMS patients who initiated treatment with natalizumab or ocrelizumab between January 2016 and April 2019 at the German university hospitals of Mainz and Düsseldorf. Bayesian propensity score matching was conducted to correct for differences in baseline characteristics. Our primary outcome was no evidence of disease activity [NEDA-3: no relapses, no confirmed disability progression, and no magnetic resonance imaging (MRI) activity] and its subcomponents. Secondary outcomes included measurement of neurofilament light chain (NfL) in serum, analysis of premature discontinuation, and evidence of rebound activity in patients switching from natalizumab to ocrelizumab. Results We identified 63 patients starting treatment with natalizumab and 76 patients starting with ocrelizumab. Binary logistic regression showed that treatment with natalizumab or a higher number of relapses in the previous year were independently associated with a higher risk for relapses. Patients receiving natalizumab had a higher probability of premature discontinuation of therapy (p = 0.002). After propensity score matching of the two treatment arms, 55 patients remained per group. NEDA-3 after 30 months of follow-up was reached by 53.1% in the ocrelizumab group and 36.1% in the natalizumab group (p = 0.177). Ocrelizumab was superior to natalizumab concerning the occurrence of relapses in log-rank test (p = 0.019). NfL levels in serum were low under both treatments. Patients who switched from natalizumab to ocrelizumab showed no increased rebound activity. Discussion This study provides class IV evidence that treatment of RRMS patients with ocrelizumab and natalizumab show comparable effectiveness in combined endpoints, while ocrelizumab might be more effective in preventing the occurrence of relapses.
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Affiliation(s)
- Katrin Pape
- 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
| | - Leoni Rolfes
- Department of Neurology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Falk Steffen
- 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
| | - Muthuraman Muthuraman
- 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
| | - Melanie Korsen
- Department of Neurology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Sven G. Meuth
- Department of Neurology, Medical Faculty, Heinrich-Heine University Düsseldorf, Düsseldorf, Germany
| | - Frauke Zipp
- 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
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Steffen F, Uphaus T, Ripfel N, Fleischer V, Schraad M, Gonzalez-Escamilla G, Engel S, Groppa S, Zipp F, Bittner S. Serum Neurofilament Identifies Patients With Multiple Sclerosis With Severe Focal Axonal Damage in a 6-Year Longitudinal Cohort. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 10:10/1/e200055. [PMID: 36411080 PMCID: PMC9679887 DOI: 10.1212/nxi.0000000000200055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 09/16/2022] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND OBJECTIVES Immunomodulatory therapies reduce the relapse rate but only marginally control disability progression in patients with MS. Although serum neurofilament light chain (sNfL) levels correlate best with acute signs of inflammation (e.g., relapses and gadolinium-enhancing [Gd+] lesions), their role in predicting progressive biology and irreversible axonal damage is less clear. We aimed to determine the ability of sNfL to dissect distinct measures of disease severity and predict future (no) evidence of disease activity (EDA/no evidence of disease activity [NEDA]). METHODS One hundred fifty-three of 221 patients with relapsing-remitting MS initially enrolled in the Neurofilament and longterm outcome in MS cohort at the MS outpatient clinic of the University Medical Center Mainz (Germany) met the inclusion criteria for this prospective observational cohort study with a median follow-up of 6 years (interquartile range 4-7 years). Progressive disease forms were excluded. Inclusion criteria consisted of Expanded Disability Status Scale (EDSS) assessment within 3 months and MRI within 12 months around blood sampling at baseline (y0) and follow-up (y6). EDSS progression at y6 had to be confirmed 12 weeks later. sNfL was measured by single-molecule array, and the following additional variables were recorded: therapy, medical history, and detailed MRI parameters (T2 hyperintense lesions, Gd+ lesions, and new persistent T1 hypointense lesions). RESULTS Patients experiencing EDSS progression or new persistent T1 lesions at y6 showed increased sNfL levels at y0 compared with stable patients or patients with inflammatory activity only. As a potential readily accessible marker of neurodegeneration, we incorporated the absence of persistent T1 lesions to the NEDA-3 concept (NEDA-3T1: n = 54, 35.3%; EDAT1: n = 99, 64.7%) and then evaluated a risk score with factors that distinguish patients with and without NEDA-3T1 status. Adding sNfL to this risk score significantly improved NEDA-3T1 prediction (0.697 95% CI 0.616-0.770 vs 0.819 95% CI 0.747-0.878, p < 0.001). Patients with sNfL values ≤8.6 pg/mL showed a 76% risk reduction for EDAT1 at y6 (hazard ratio 0.244, 95% CI 0.142-0.419, p < 0.001). DISCUSSION sNfL levels associate with severe focal axonal damage as reflected by development of persistent T1 lesions. Baseline sNfL values predicted NEDA-3T1 status at 6-year follow-up.
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Affiliation(s)
- Falk Steffen
- From the 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
| | - Timo Uphaus
- From the 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
| | - Nina Ripfel
- From the 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
| | - Vinzenz Fleischer
- From the 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
| | - Muriel Schraad
- From the 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
| | - Gabriel Gonzalez-Escamilla
- From the 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
| | - Sinah Engel
- From the 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
| | - Sergiu Groppa
- From the 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
| | - Frauke Zipp
- From the 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
| | - Stefan Bittner
- From the 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.
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