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Ziccardi S, Tamanti A, Ruggieri C, Guandalini M, Marastoni D, Camera V, Montibeller L, Mazziotti V, Rossi S, Calderone M, Pizzini FB, Montemezzi S, Magliozzi R, Calabrese M. CSF Parvalbumin Levels at Multiple Sclerosis Diagnosis Predict Future Worse Cognition, Physical Disability, Fatigue, and Gray Matter Damage. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200301. [PMID: 39178066 PMCID: PMC11368234 DOI: 10.1212/nxi.0000000000200301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 07/11/2024] [Indexed: 08/25/2024]
Abstract
BACKGROUND AND OBJECTIVES Cognitive impairment (CI) in multiple sclerosis (MS) is frequent and determined by a complex interplay between inflammatory and neurodegenerative processes. We aimed to investigate whether CSF parvalbumin (PVALB), measured at the time of diagnosis, may have a prognostic role in patients with MS. METHODS In this cohort study, CSF analysis of PVALB and Nf-L levels was performed on all patients at diagnosis (T0) and combined with physical, cognitive, and MRI assessment after an average of 4 years of follow-up (T4) from diagnosis. Cognitive performance was evaluated with a comprehensive neuropsychologic battery: both global (cognitively normal, CN, mildly CI, mCI, and severely CI, sCI) and domain cognitive status (normal/impaired in memory, attention/information processing speed, and executive functions) were considered. Cortical thickness and gray matter volume data were acquired using 3T MRI scanner. RESULTS A total of 72 patients with MS were included. At diagnosis, PVALB levels were higher in those patients who showed a worsening physical disability after 4 years of follow-up (p = 0.011). CSF PVALB levels were higher in sCI patients than in CN (p = 0.033). Moreover, higher PVALB levels significantly correlated with worse global cognitive (p = 0.024) and memory functioning (p = 0.044). A preliminary clinical threshold for PVALB levels at diagnosis was proposed (2.57 ng/mL), which maximizes the risk of showing CI (in particular, sCI) at follow-up, with a sensitivity of 91% (specificity 30%). No significant results were found for these associations with Nf-L. In addition, patients with higher levels of PVALB at diagnosis showed higher cognitive (p = 0.024) and global fatigue (p = 0.043) at follow-up. Finally, higher PVALB levels also correlated significantly with more pronounced CTh/volume at T4 in the inferior frontal gyrus (p = 0.044), postcentral gyrus (p = 0.025), frontal pole (p = 0.042), transverse temporal gyrus (p = 0.008), and cerebellar cortex (p = 0.041) and higher atrophy (change T0-T4) in the right thalamus (p = 0.038), pericalcarine cortex (p = 0.009), lingual gyrus (p = 0.045), and medial frontal gyrus (p = 0.028). DISCUSSION The significant association found between parvalbumin levels in the CSF at diagnosis and cognitive, clinical, and neuroradiologic worsening after 4 years of follow-up support the idea that parvalbumin, in addition to Nf-L, might represent a new potential prognostic biomarker, reflecting MS neurodegenerative processes occurring since early disease stages.
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Affiliation(s)
- Stefano Ziccardi
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Agnese Tamanti
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Claudia Ruggieri
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Maddalena Guandalini
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Damiano Marastoni
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Valentina Camera
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Luigi Montibeller
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Valentina Mazziotti
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Stefania Rossi
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Milena Calderone
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Francesca Benedetta Pizzini
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Stefania Montemezzi
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Roberta Magliozzi
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
| | - Massimiliano Calabrese
- From the Department of Neurosciences (S.Z., A.T., C.R., M.G., D.M., V.C., L.M., V.M., S.R., R.M., M. Calabrese), Biomedicine and Movement, University of Verona; Department of Oncology and Molecular Medicine (S.R.), Istituto Superiore di Sanità, Rome; Radiology Unit (M. Calderone), Cmsr Veneto Medica s.r.l., Altavilla Vicentina, Vicenza; and Institute of Radiology (F.B.P., S.M.), University of Verona, Italy
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Emeršič A, Karikari TK, Kac PR, Gonzalez-Ortiz F, Dulewicz M, Ashton NJ, Brecl Jakob G, Horvat Ledinek A, Hanrieder J, Zetterberg H, Rot U, Čučnik S, Blennow K. Biomarkers of tau phosphorylation state are associated with the clinical course of multiple sclerosis. Mult Scler Relat Disord 2024; 90:105801. [PMID: 39153429 DOI: 10.1016/j.msard.2024.105801] [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: 03/27/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 08/19/2024]
Abstract
BACKGROUND Mechanisms underlying neurodegeneration in multiple sclerosis (MS) remain poorly understood but mostly implicate molecular pathways that are not unique to MS. Recently detected tau seeding activity in MS brain tissues corroborates previous neuropathological reports of hyperphosphorylated tau (p-tau) accumulation in secondary and primary progressive MS (PPMS). We aimed to investigate whether aberrant tau phosphorylation can be detected in the cerebrospinal fluid (CSF) of MS patients by using novel ultrasensitive immunoassays for different p-tau biomarkers. METHODS CSF samples of patients with MS (n = 55) and non-inflammatory neurological disorders (NIND, n = 31) were analysed with in-house Single molecule array (Simoa) assays targeting different tau phosphorylation sites (p-tau181, p-tau212, p-tau217 and p-tau231). Additionally, neurofilament light (NFL) and glial fibrillary acidic protein (GFAP) were measured with a multiplexed Simoa assay. Patients were diagnosed with clinically isolated syndrome (CIS, n = 10), relapsing-remitting MS (RRMS, n = 21) and PPMS (n = 24) according to the 2017 McDonald criteria and had MRI, EDSS and basic CSF analysis performed at the time of diagnosis. RESULTS Patients with progressive disease course had between 1.4-fold (p-tau217) and 2.2-fold (p-tau212) higher p-tau levels than relapsing MS patients (PPMS compared with CIS + RRMS, p < 0.001 for p-tau181, p-tau212, p-tau231 and p = 0.042 for p-tau217). P-tau biomarkers were associated with disease duration (ρ=0.466-0.622, p < 0.0001), age (ρ=0.318-0.485, p < 0.02, all but p-tau217) and EDSS at diagnosis and follow-up (ρ=0.309-0.440, p < 0.02). In addition, p-tau biomarkers correlated with GFAP (ρ=0.517-0.719, p ≤ 0.0001) but not with the albumin quotient, CSF cell count or NFL. Patients with higher MRI lesion load also had higher p-tau levels p ≤ 0.01 (<10 vs. ≥ 10 lesions, all p ≤ 0.01). CONCLUSION CSF concentrations of novel p-tau biomarkers point to a higher degree of tau phosphorylation in PPMS than in RRMS. Associations with age, disease duration and EDSS suggest this process increases with disease severity; however, replication of these results in larger cohorts is needed to further clarify the relevance of altered tau phosphorylation throughout the disease course in MS.
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Affiliation(s)
- Andreja Emeršič
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia; Faculty of Pharmacy, University of Ljubljana, Ljubljana 1000, Slovenia.
| | - Thomas K Karikari
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden; Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15215, USA
| | - Przemysław R Kac
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden
| | - Fernando Gonzalez-Ortiz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 431 80, Sweden
| | - Maciej Dulewicz
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden
| | - Nicholas J Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden; Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg 405 30, Sweden; Department of Old Age Psychiatry, Maurice Wohl Clinical Neuroscience Institute, King's College London, London SE5 8AF, UK; NIHR Biomedical Research Centre for Mental Health & Biomedical Research Unit for Dementia at South London & Maudsley NHS Foundation, London SE5 8AF, UK
| | - Gregor Brecl Jakob
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana 1000, Slovenia
| | - Alenka Horvat Ledinek
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 431 80, Sweden; Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK; UK Dementia Research Institute at UCL, London WC1N 3AR, UK; Hong Kong Center for Neurodegenerative Diseases, Hong Kong 518172, China; School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Uroš Rot
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia; Faculty of Medicine, University of Ljubljana, Ljubljana 1000, Slovenia
| | - Saša Čučnik
- Department of Neurology, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia; Faculty of Pharmacy, University of Ljubljana, Ljubljana 1000, Slovenia; Department of Rheumatology, University Medical Centre Ljubljana, Ljubljana 1000, Slovenia
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Gothenburg 413 45, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal 431 80, Sweden; Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris 75013, 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 230001, PR China
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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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Johnsson M, Stenberg YT, Farman HH, Blennow K, Zetterberg H, Malmeström C, Sandgren S, Rosenstein I, Lycke J, Axelsson M, Novakova L. Serum neurofilament light for detecting disease activity in individual patients in multiple sclerosis: A 48-week prospective single-center study. Mult Scler 2024; 30:664-673. [PMID: 38481083 PMCID: PMC11071597 DOI: 10.1177/13524585241237388] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/05/2024] [Accepted: 02/18/2024] [Indexed: 05/07/2024]
Abstract
BACKGROUND Serum neurofilament light (sNfL) reflects neuroaxonal damage and is now used as an outcome in treatment trials of relapsing-remitting multiple sclerosis (RRMS). However, the diagnostic properties of sNfL for monitoring disease activity in individual patients warrant further investigations. METHOD Patients with suspected relapse and/or contrast-enhancing lesions (CELs) were consecutively included and performed magnetic resonance imaging (MRI) of the brain at baseline and weeks 28 and 48. Serum was obtained at baseline and 2, 4, 8, 16, 24, and 48 weeks. Neurofilament light concentration was measured using Single molecule array technology. RESULTS We included 44 patients, 40 with RRMS and 4 with clinically isolated syndrome. The median sNfL level peaked at 2 weeks post-baseline (14.6 ng/L, interquartile range (IQR); 9.3-31.6) and reached nadir at 48 weeks (9.1 ng/L, IQR; 5.5-15.0), equivalent to the median sNfL of controls (9.1 ng/L, IQR; 7.4-12). A baseline Z-score of more than 1.1 (area under the curve; 0.78, p < 0.0001) had a sensitivity of 81% and specificity of 70% to detect disease activity. CONCLUSION One out of five patients with relapse and/or CELs did not change significantly in post-baseline sNfL levels. The utility of repeated sNfL measurements to monitor disease activity is complementary rather than a substitute for clinical and MRI measures.
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Affiliation(s)
- M Johnsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - YT Stenberg
- Institute of Medicine, University of Gothenburg, Gothenburg, Sweden
| | - HH Farman
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - K Blennow
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - H Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute, University College London, 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
| | - C Malmeström
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
- Laboratory for Clinical Immunology, Department of Neurology, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - S Sandgren
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - I Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - J Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - M Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
| | - L Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Sahlgrenska University Hospital, Gothenburg, Sweden
- Department of Neurology, Sahlgrenska University Hospital and Region Västra Götaland, Gothenburg, Sweden
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Ontaneda D, Chitnis T, Rammohan K, Obeidat AZ. Identification and management of subclinical disease activity in early multiple sclerosis: a review. J Neurol 2024; 271:1497-1514. [PMID: 37864717 PMCID: PMC10972995 DOI: 10.1007/s00415-023-12021-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 09/22/2023] [Accepted: 09/24/2023] [Indexed: 10/23/2023]
Abstract
IMPORTANCE Early treatment initiation in multiple sclerosis (MS) is crucial in preventing irreversible neurological damage and disability progression. The current assessment of disease activity relies on relapse rates and magnetic resonance imaging (MRI) lesion activity, but inclusion of other early, often "hidden," indicators of disease activity may describe a more comprehensive picture of MS. OBSERVATIONS Early indicators of MS disease activity other than relapses and MRI activity, such as cognitive impairment, brain atrophy, and fatigue, are not typically captured by routine disease monitoring. Furthermore, silent progression (neurological decline not clearly captured by standard methods) may occur undetected by relapse and MRI lesion activity monitoring. Consequently, patients considered to have no disease activity actually may have worsening disease, suggesting a need to revise MS management strategies with respect to timely initiation and escalation of disease-modifying therapy (DMT). Traditionally, first-line MS treatment starts with low- or moderate-efficacy therapies, before escalating to high-efficacy therapies (HETs) after evidence of breakthrough disease activity. However, multiple observational studies have shown that early initiation of HETs can prevent or reduce disability progression. Ongoing randomized clinical trials are comparing escalation and early HET approaches. CONCLUSIONS AND RELEVANCE There is an urgent need to reassess how MS disease activity and worsening are measured. A greater awareness of "hidden" indicators, potentially combined with biomarkers to reveal silent disease activity and neurodegeneration underlying MS, would provide a more complete picture of MS and allow for timely therapeutic intervention with HET or switching DMTs to address suboptimal treatment responses.
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Affiliation(s)
- Daniel Ontaneda
- Mellen Center for Multiple Sclerosis, Department of Neurology, Cleveland Clinic, Cleveland, OH, USA.
| | - Tanuja Chitnis
- Brigham Multiple Sclerosis Center, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kottil Rammohan
- Division of Multiple Sclerosis, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ahmed Z Obeidat
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, USA
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Teniou A, Rhouati A, Marty JL. Recent Advances in Biosensors for Diagnosis of Autoimmune Diseases. SENSORS (BASEL, SWITZERLAND) 2024; 24:1510. [PMID: 38475046 DOI: 10.3390/s24051510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 02/01/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024]
Abstract
Over the last decade, autoimmune diseases (ADs) have undergone a significant increase because of genetic and/or environmental factors; therefore, their simple and fast diagnosis is of high importance. The conventional diagnostic techniques for ADs require tedious sample preparation, sophisticated instruments, a dedicated laboratory, and qualified personnel. For these reasons, biosensors could represent a useful alternative to these methods. Biosensors are considered to be promising tools that can be used in clinical analysis for an early diagnosis due to their high sensitivity, simplicity, low cost, possible miniaturization (POCT), and potential ability for real-time analysis. In this review, recently developed biosensors for the detection of autoimmune disease biomarkers are discussed. In the first part, we focus on the main AD biomarkers and the current methods of their detection. Then, we discuss the principles and different types of biosensors. Finally, we overview the characteristics of biosensors based on different bioreceptors reported in the literature.
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Affiliation(s)
- Ahlem Teniou
- Bioengineering Laboratory, Higher National School of Biotechnology, Constantine 25100, Algeria
| | - Amina Rhouati
- Bioengineering Laboratory, Higher National School of Biotechnology, Constantine 25100, Algeria
| | - Jean-Louis Marty
- Laboratoire BAE, Université de Perpignan through Domitia, 66860 Perpignan, France
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7
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Holm Nielsen S, Karsdal M, Bay-Jensen AC. Neutrophil activity in serum as a biomarker for multiple sclerosis. Mult Scler Relat Disord 2023; 79:105005. [PMID: 37714096 DOI: 10.1016/j.msard.2023.105005] [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: 09/04/2023] [Accepted: 09/08/2023] [Indexed: 09/17/2023]
Abstract
Multiple Sclerosis (MS) is an immune-mediated inflammatory disease affecting the central nervous system (CNS). Current treatments target neuroinflammation, but only limit the disease progression by reducing brain atrophy and a worsening in neurodegenerative damage. A blood-based biomarker of neutrophil activity, CPa9-HNE, holds the potential as a diagnostic biomarker in MS. We evaluated the CPa9-HNE biomarker in healthy donors, and patients with primary progressive MS (PPMS) and relapsing/remitting MS (RRMS). The CPa9-HNE was able to discriminate between the healthy donors and PPMS and RPMS with an AUROC>0.97. The CPa9-HNE biomarker may be used to assess patients' eligibility for targeted treatments.
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8
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Rosenstein I, Axelsson M, Novakova L, Malmeström C, Blennow K, Zetterberg H, Lycke J. Intrathecal kappa free light chain synthesis is associated with worse prognosis in relapsing-remitting multiple sclerosis. J Neurol 2023; 270:4800-4811. [PMID: 37314506 PMCID: PMC10511607 DOI: 10.1007/s00415-023-11817-9] [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: 05/11/2023] [Revised: 06/05/2023] [Accepted: 06/06/2023] [Indexed: 06/15/2023]
Abstract
BACKGROUND While kappa free light chain (KFLC) index has become a useful diagnostic biomarker in multiple sclerosis (MS), its prognostic properties are less explored. B cells play a crucial role in MS pathogenesis, but the impact from increased intrathecal production of immunoglobulins and KFLC remains to be determined. Recently, it has become evident that insidious worsening is not confined to progressive MS but is also common in relapsing-remitting MS (RRMS), a feature known as progression independent of relapse activity (PIRA). METHODS We retrospectively identified 131 patients with clinically isolated syndrome or early RRMS who had determined KFLC index as part of their diagnostic workup. Demographic and clinical data were extracted from the Swedish MS registry. Associations of baseline KFLC index with evidence of disease activity (EDA) and PIRA were investigated in multivariable cox proportional hazards regression models. RESULTS KFLC index was significantly higher in PIRA (median 148.5, interquartile range [IQR] 106.9-253.5) compared with non-PIRA (78.26, IQR 28.93-186.5, p = 0.009). In a multivariable cox regression model adjusted for confounders, KFLC index emerged as an independent risk factor for PIRA (adjusted hazard ratio [aHR] 1.005, 95% confidence interval [CI] 1.002-1.008, p = 0.002). Dichotomized by the cut-off value KFLC index > 100, patients with KFLC index > 100 had an almost fourfold increase in the risk for developing PIRA. KFLC index was also predictive of evidence of disease activity during follow-up. CONCLUSIONS Our data indicate that high KFLC index at baseline is predictive of PIRA, EDA-3, and overall worse prognosis in MS.
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Affiliation(s)
- Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, Sahlgrenska University Hospital, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden.
| | - Markus Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, Sahlgrenska University Hospital, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
| | - Lenka Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, Sahlgrenska University Hospital, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
| | - Clas Malmeström
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, Sahlgrenska University Hospital, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, 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
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK
- Hong Kong Centre 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
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, Sahlgrenska University Hospital, University of Gothenburg, Blå Stråket 7, 413 45, Gothenburg, Sweden
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Pogoda-Wesołowska A, Dziedzic A, Maciak K, Stȩpień A, Dziaduch M, Saluk J. Neurodegeneration and its potential markers in the diagnosing of secondary progressive multiple sclerosis. A review. Front Mol Neurosci 2023; 16:1210091. [PMID: 37781097 PMCID: PMC10535108 DOI: 10.3389/fnmol.2023.1210091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Accepted: 08/25/2023] [Indexed: 10/03/2023] Open
Abstract
Approximately 70% of relapsing-remitting multiple sclerosis (RRMS) patients will develop secondary progressive multiple sclerosis (SPMS) within 10-15 years. This progression is characterized by a gradual decline in neurological functionality and increasing limitations of daily activities. Growing evidence suggests that both inflammation and neurodegeneration are associated with various pathological processes throughout the development of MS; therefore, to delay disease progression, it is critical to initiate disease-modifying therapy as soon as it is diagnosed. Currently, a diagnosis of SPMS requires a retrospective assessment of physical disability exacerbation, usually over the previous 6-12 months, which results in a delay of up to 3 years. Hence, there is a need to identify reliable and objective biomarkers for predicting and defining SPMS conversion. This review presents current knowledge of such biomarkers in the context of neurodegeneration associated with MS, and SPMS conversion.
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Affiliation(s)
| | - Angela Dziedzic
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
| | - Karina Maciak
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
| | - Adam Stȩpień
- Clinic of Neurology, Military Institute of Medicine–National Research Institute, Warsaw, Poland
| | - Marta Dziaduch
- Medical Radiology Department of Military Institute of Medicine – National Research Institute, Warsaw, Poland
| | - Joanna Saluk
- Department of General Biochemistry, Faculty of Biology and Environmental Protection, University of Lodz, Lodz, Poland
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10
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Zerimech S, Nguyen H, Vandenbark AA, Offner H, Baltan S. Novel therapeutic for multiple sclerosis protects white matter function in EAE mouse model. FRONTIERS IN MOLECULAR MEDICINE 2023; 3:1237078. [PMID: 37933270 PMCID: PMC10627517 DOI: 10.3389/fmmed.2023.1237078] [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: 11/08/2023]
Abstract
Multiple sclerosis (MS) is a chronic demyelinating disease with prominent axon dysfunction. Our previous studies in an MS mouse model, experimental autoimmune encephalomyelitis (EAE), demonstrated that major histocompatibility complex Class II constructs can reverse clinical signs of EAE. These constructs block binding and downstream signaling of macrophage migration inhibitory factors (MIF-1/2) through CD74, thereby inhibiting phosphorylation of extracellular signal-regulated kinase (ERK) activation and tissue inflammation and promoting remyelination. To directly assess the effects of a novel third generation construct, DRhQ, on axon integrity in EAE, we compared axon conduction properties using electrophysiology on corpus callosum slices and optic nerves. By using two distinct white matter (WM) tracts, we aimed to assess the impact of the EAE and the benefit of DRhQ on myelinated and unmyelinated axons as well as to test the clinical value of DRhQ on demyelinating lesions in CC and optic myelitis. Our study found that EAE altered axon excitability, delayed axon conduction and slowed spatiotemporal summation correlated with diffuse astrocyte and microglia activation. Because MS predisposes patients to stroke, we also investigated and showed that vulnerability to WM ischemia is increased in the EAE MS mouse model. Treatment with DRhQ after the onset of EAE drastically inhibited microglial and astrocyte activation, improved functional integrity of the myelinated axons and enhanced recovery after ischemia. These results demonstrate that DRhQ administered after the onset of EAE promotes WM integrity and function, and reduces subsequent vulnerability to ischemic injury, suggesting important therapeutic potential for treatment of progressive MS.
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Affiliation(s)
- Sarah Zerimech
- Anesthesiology and Perioperative Medicine (APOM), Oregon Health and Science University, Portland, OR, United States
| | - Hung Nguyen
- Anesthesiology and Perioperative Medicine (APOM), Oregon Health and Science University, Portland, OR, United States
| | - Arthur A. Vandenbark
- Neuroimmunology Research, VA Portland Healthcare System, Portland, OR, United States
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
- Department of Molecular Microbiology and Immunology, Oregon Health and Science University, Portland, OR, United States
| | - Halina Offner
- Anesthesiology and Perioperative Medicine (APOM), Oregon Health and Science University, Portland, OR, United States
- Neuroimmunology Research, VA Portland Healthcare System, Portland, OR, United States
- Department of Neurology, Oregon Health and Science University, Portland, OR, United States
| | - Selva Baltan
- Anesthesiology and Perioperative Medicine (APOM), Oregon Health and Science University, Portland, OR, United States
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11
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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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12
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Ellen O, Ye S, Nheu D, Dass M, Pagnin M, Ozturk E, Theotokis P, Grigoriadis N, Petratos S. The Heterogeneous Multiple Sclerosis Lesion: How Can We Assess and Modify a Degenerating Lesion? Int J Mol Sci 2023; 24:11112. [PMID: 37446290 DOI: 10.3390/ijms241311112] [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: 05/18/2023] [Revised: 06/21/2023] [Accepted: 06/30/2023] [Indexed: 07/15/2023] Open
Abstract
Multiple sclerosis (MS) is a heterogeneous disease of the central nervous system that is governed by neural tissue loss and dystrophy during its progressive phase, with complex reactive pathological cellular changes. The immune-mediated mechanisms that promulgate the demyelinating lesions during relapses of acute episodes are not characteristic of chronic lesions during progressive MS. This has limited our capacity to target the disease effectively as it evolves within the central nervous system white and gray matter, thereby leaving neurologists without effective options to manage individuals as they transition to a secondary progressive phase. The current review highlights the molecular and cellular sequelae that have been identified as cooperating with and/or contributing to neurodegeneration that characterizes individuals with progressive forms of MS. We emphasize the need for appropriate monitoring via known and novel molecular and imaging biomarkers that can accurately detect and predict progression for the purposes of newly designed clinical trials that can demonstrate the efficacy of neuroprotection and potentially neurorepair. To achieve neurorepair, we focus on the modifications required in the reactive cellular and extracellular milieu in order to enable endogenous cell growth as well as transplanted cells that can integrate and/or renew the degenerative MS plaque.
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Affiliation(s)
- Olivia Ellen
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Sining Ye
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Danica Nheu
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Mary Dass
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Maurice Pagnin
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Ezgi Ozturk
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
| | - Paschalis Theotokis
- Laboratory of Experimental Neurology and Neuroimmunology, Department of Neurology, AHEPA University Hospital, Stilponos Kiriakides Str. 1, 54636 Thessaloniki, Greece
| | - Nikolaos Grigoriadis
- Laboratory of Experimental Neurology and Neuroimmunology, Department of Neurology, AHEPA University Hospital, Stilponos Kiriakides Str. 1, 54636 Thessaloniki, Greece
| | - Steven Petratos
- Department of Neuroscience, Central Clinical School, Monash University, Melborune, VIC 3004, Australia
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13
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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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14
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Hradilek P, Revendova KZ, Horakova J, Bunganic R, Pelisek O, Zeman D, Hanzlikova P, Kusnierova P. Cerebrospinal fluid neurofilament light chains and CXCL13 as predictive factors for clinical course of multiple sclerosis. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub 2023; 167:30-35. [PMID: 36695545 DOI: 10.5507/bp.2023.002] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2022] [Accepted: 01/05/2023] [Indexed: 01/26/2023] Open
Abstract
AIM The aim of this study was to identify whether NfL and CXCL13 cerebrospinal fluid (CSF) concentrations at diagnostic lumbar puncture can predict the course of multiple sclerosis (MS) in terms of relapses, higher expanded disability status scale (EDSS) and magnetic resonance imaging (MRI) activity. METHODS We conducted a single-centre prospective observational cohort study at the MS center, University Hospital Ostrava, Czech Republic. CSF NfL (cNfL) and CXCL13 concentrations were examined (ELISA method) in patients with clinically isolated syndrome (CIS) and relapsing-remitting MS (RRMS) at the time of diagnostic lumbar puncture. RESULTS A total of 44 patients with CIS or early RRMS were enrolled, 31 (70.5%) of whom were women. The median age at the time of CSF sampling was 31.21 years (IQR 25.43-39.32), and the follow-up period was 54.6 months (IQR 44.03-59.48). In the simple and multiple logistic regression models, CXCL13 levels did not predict relapses, MRI activity or EDSS > 2.5. Similarly, cNfL concentrations did not predict relapses or MRI activity in either model. In the multiple regression, higher cNfL levels were associated with reaching EDSS > 2.5 (odds ratio [OR] 1.002, 95% confidence interval [CI] 1.000 to 1.003). CONCLUSIONS Our data did not confirm cNfL and/or CXCL13 CSF levels were predictive factors for disease activity such as relapses and MRI activity at the time of diagnostic lumbar puncture in patients with RRMS. While cNfL CSF levels predicted higher disability only after adjustment for other known risk factors, elevated CSF CXCL13 did not predict higher disability at all.
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Affiliation(s)
- Pavel Hradilek
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.,Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Kamila Zondra Revendova
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.,Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Jana Horakova
- Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Radovan Bunganic
- Department of Clinical Neurosciences, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic.,Department of Neurology, University Hospital Ostrava, Ostrava, Czech Republic
| | - Ondrej Pelisek
- Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - David Zeman
- Department of Laboratory Medicine, University Hospital Brno, Brno, Czech Republic
| | - Pavla Hanzlikova
- Department of Imaging Methods, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
| | - Pavlina Kusnierova
- Department of Clinical Biochemistry, Institute of Laboratory Medicine, University Hospital Ostrava, Ostrava, Czech Republic.,Institute of Laboratory Medicine, Faculty of Medicine, University of Ostrava, Ostrava, Czech Republic
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15
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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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Dines V, Suvakov S, Kattah A, Vermunt J, Narang K, Jayachandran M, Abou Hassan C, Norby AM, Garovic VD. Preeclampsia and the Kidney: Pathophysiology and Clinical Implications. Compr Physiol 2023; 13:4231-4267. [PMID: 36715282 DOI: 10.1002/cphy.c210051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Preeclampsia and other hypertensive disorders of pregnancy are major contributors to maternal morbidity and mortality worldwide. This group of disorders includes chronic hypertension, gestational hypertension, preeclampsia, preeclampsia superimposed on chronic hypertension, and eclampsia. The body undergoes important physiological changes during pregnancy to allow for normal placental and fetal development. Several mechanisms have been proposed that may lead to preeclampsia, including abnormal placentation and placental hypoxia, impaired angiogenesis, excessive pro-inflammatory response, immune system imbalance, abnormalities of cellular senescence, alterations in regulation and activity of angiotensin II, and oxidative stress, ultimately resulting in upregulation of multiple mediators of endothelial cell dysfunction leading to maternal disease. The clinical implications of preeclampsia are significant as there are important short-term and long-term health consequences for those affected. Preeclampsia leads to increased risk of preterm delivery and increased morbidity and mortality of both the developing fetus and mother. Preeclampsia also commonly leads to acute kidney injury, and women who experience preeclampsia or another hypertensive disorder of pregnancy are at increased lifetime risk of chronic kidney disease and cardiovascular disease. An understanding of normal pregnancy physiology and the pathophysiology of preeclampsia is essential to develop novel treatment approaches and manage patients with preeclampsia and hypertensive disorders of pregnancy. © 2023 American Physiological Society. Compr Physiol 13:4231-4267, 2023.
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Affiliation(s)
- Virginia Dines
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Sonja Suvakov
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Andrea Kattah
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Jane Vermunt
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Kavita Narang
- Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Coline Abou Hassan
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Alexander M Norby
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Vesna D Garovic
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA.,Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, Minnesota, USA
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17
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Valadkevičienė D, Žukauskaitė I, Karrenbauer VD, Bileviciute-Ljungar I. Can fatigue predict the worsening of multiple sclerosis one year later? An explorative study with participants referred to assess their ability to work. Mult Scler Relat Disord 2022; 68:104393. [PMID: 36544323 DOI: 10.1016/j.msard.2022.104393] [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: 08/28/2022] [Revised: 10/18/2022] [Accepted: 10/31/2022] [Indexed: 11/08/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is an inflammatory and degenerative disease of the central nervous system and is triggered by several environmental factors in genetically predisposed people. OBJECTIVES To explore which evaluation battery items used for evaluation of work capacity at baseline can best predict MS progression at 1 year follow-up. METHODS In this prospective single-centre study, participants with MS were recruited consecutively when visiting a neurologist for referral for the determination work capacity status at the Disability and Working Capacity Assessment Office. At baseline, a neurologist assessed patients using the following evaluation scales: Fatigue self-assessment, Fatigue Descriptive Scale (FDS), Memory self-assessment, Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS), Short Form 36 (SF-36), and the Brief International Classification of Functioning and Disability (ICF) core set for MS. The Expanded Disability Status Scale (EDSS) was evaluated by neurologists at baseline and one year later. An increase in EDSS by 0.5 points after one year was defined as MS progression. RESULTS During the one year period among 72 participants, 21 fulfilled the criteria for MS progression. In more than 75% of these participants, impairments were found in the following ICF subitems at baseline: "energy and drive functions", "muscle and power functions", and "moving around". Greater impairments were identified in progressing participants. Progressing participants scored higher on the FDS and scored lower on the BICAMS and SF-36. Regression analysis indicated that the FDS sum score predicted MS progression one year later. CONCLUSIONS Increased fatigue might indicate worsening in MS one year later.
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Affiliation(s)
- Daiva Valadkevičienė
- Clinic of Neurology and Neurosurgery, Institute of Clinical Medicine, Faculty of Medicine, Vilnius University, Vilnius, Lithuania; Disability and Working Capacity Assessment Office under the Ministry of Social Security and Labour of the Republic of Lithuania, Vilnius, Lithuania
| | - Irena Žukauskaitė
- Institute of Psychology, Faculty of Philosophy, Vilnius University, Vilnius, Lithuania
| | - Virginija Danylaitė Karrenbauer
- Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden; Medical Unit Neuro, Karolinska University Hospital, Stockholm, Sweden
| | - Indre Bileviciute-Ljungar
- Department of Clinical Sciences, Karolinska Institutet, Stockholm, Sweden; Multidisciplinary Pain Clinic, St. Göran Hospital, Stockholm, Sweden.
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18
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Williams T, Heslegrave A, Zetterberg H, Miszkiel KA, Barkhof F, Ciccarelli O, Brownlee WJ, Chataway J. The prognostic significance of early blood neurofilament light chain concentration and magnetic resonance imaging variables in relapse-onset multiple sclerosis. Brain Behav 2022; 12:e2700. [PMID: 35925940 PMCID: PMC9480937 DOI: 10.1002/brb3.2700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/24/2022] [Accepted: 06/25/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Improved prognostication remains vital in multiple sclerosis to inform personalized treatment approaches. Blood neurofilament light (bNfL) is a promising prognostic biomarker, but to what extent it provides additional information, independent of established MRI metrics, is yet to be established. METHODS We obtained all available bNfL data for 133 patients from a longitudinal observational cohort study. Patients were dichotomized into good or poor outcome groups based upon clinical and cognitive assessments performed 15 years after a clinically isolated syndrome. We performed longitudinal modeling of early NfL and MRI variables to examine differences between outcome groups. RESULTS The bNfL dataset was incomplete, with one to three (mean 1.5) samples available per participant. Within 3 months of onset, bNfL was similar between groups. The bNfL concentration subsequently decreased in those with a good outcome, and remained persistently elevated in those with a poor outcome. By year 5, NfL in the poor outcome group was approximately double that of those with a good outcome (14.58 [10.40-18.77] vs. 7.71 [6.39-9.04] pg/ml, respectively). Differences were reduced after adjustment for longitudinal changes in T2LV, but trends persisted for a greater rate of increase in NfL in those with a poor outcome, independent of T2LV. CONCLUSIONS This analysis requires replication in cohorts with more complete bNfL datasets, but suggests that persistently elevated blood NfL may be more common in patients with a poor long-term outcome. Persistent elevation of blood NfL may provide additional prognostic information not wholly accounted for by standard monitoring techniques.
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Affiliation(s)
- Thomas Williams
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Amanda Heslegrave
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, University College London, London, UK
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, UK.,UK Dementia Research Institute at UCL, University College London, London, UK.,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
| | - Katherine A Miszkiel
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Frederik Barkhof
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,Centre for Medical Image Computing (CMIC), Department of Computer Science, Faculty of Engineering Sciences, University College London, London, UK.,Radiology & Nuclear Medicine, VU University Medical Centre, Amsterdam, The Netherlands.,Department of Brain Repair and Rehabilitation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
| | - Wallace J Brownlee
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL Queen Square Institute of Neurology, Faculty of Brain Sciences, University College London, London, UK.,National Hospital for Neurology and Neurosurgery, Queen Square, London, UK.,National Institute for Health Research, University College London Hospitals Biomedical Research Centre, London, UK
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19
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A Scoping Review on Body Fluid Biomarkers for Prognosis and Disease Activity in Patients with Multiple Sclerosis. J Pers Med 2022; 12:jpm12091430. [PMID: 36143216 PMCID: PMC9501898 DOI: 10.3390/jpm12091430] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 08/22/2022] [Accepted: 08/27/2022] [Indexed: 11/30/2022] Open
Abstract
Multiple sclerosis (MS) is a complex demyelinating disease of the central nervous system, presenting with different clinical forms, including clinically isolated syndrome (CIS), which is a first clinical episode suggestive of demyelination. Several molecules have been proposed as prognostic biomarkers in MS. We aimed to perform a scoping review of the potential use of prognostic biomarkers in MS clinical practice. We searched MEDLINE up to 25 November 2021 for review articles assessing body fluid biomarkers for prognostic purposes, including any type of biomarkers, cell types and tissues. Original articles were obtained to confirm and detail the data reported by the review authors. We evaluated the reliability of the biomarkers based on the sample size used by various studies. Fifty-two review articles were included. We identified 110 molecules proposed as prognostic biomarkers. Only six studies had an adequate sample size to explore the risk of conversion from CIS to MS. These confirm the role of oligoclonal bands, immunoglobulin free light chain and chitinase CHI3L1 in CSF and of serum vitamin D in the prediction of conversion from CIS to clinically definite MS. Other prognostic markers are not yet explored in adequately powered samples. Serum and CSF levels of neurofilaments represent a promising biomarker.
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20
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Jin M, Liu K, Zhao L, Liu J, Zhao Z, Zhao Y, Sun S. Cerebrospinal fluid neurofilament light chain predicts short-term prognosis in pediatric Guillain-Barré syndrome. Front Neurol 2022; 13:972367. [PMID: 36071910 PMCID: PMC9441703 DOI: 10.3389/fneur.2022.972367] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 08/02/2022] [Indexed: 11/13/2022] Open
Abstract
IntroductionTo study cerebrospinal fluid neurofilament light chain (CSF-NfL) levels as a prognostic biomarker in pediatric Guillain-Barré syndrome (GBS).MethodsProspective study enrolling 26 pediatric GBS patients and 48 healthy controls (HCs) from neurology units between 2017 to 2021. The CSF-NfL levels were measured by enzyme-linked immunosorbent assay. The children's disability levels were evaluated using Hughes Functional Score (HFS) at nadir, 1 month, and 6 months after onset. The receiver operating characteristic (ROC) curve derived from logistic regression (with age as a covariate) was used to assess the prognostic value of CSF-NfL on the possibility of walking aided at 1 month after symptom onset.ResultsThe mean CSF-NfL levels were significantly increased in GBS patients (111.76 pg/mL) as compared to that in HCs (76.82 pg/mL) (t = 6.754, p < 0.001). At follow- up, the mean CSF-NfL levels after treatment (65.69 pg/mL) declined significantly (t = 6.693, p < 0.001). CSF-NfL levels upon admission were significantly associated with the HFS at nadir (rs = 0.461, p = 0.018). Moreover, the mean CSF-NfL levels in GBS patients with poor prognosis (130.47pg/mL) were significantly higher than that in patients with good prognosis (104.87pg/mL) (t = 2.399, p = 0.025). ROC curve analysis of the predictive value of CSF-NfL levels with respect to the inability to walk unaided within 1 month showed a significant difference (area under the curve: 0.857,95% confidence interval 0.702-1.000; p = 0.006).ConclusionCSF-NfL levels were increased in pediatric GBS patients. High CSF-NfL level predicted worse motor function, and was strongly associated with poor short-term prognosis of pediatric GBS. We propose a biomarker for early prediction of outcome in pediatric GBS, which would be applicable for clinical practice and efficacy of treatment in the future.
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21
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Rosenstein I, Rasch S, Axelsson M, Novakova L, Blennow K, Zetterberg H, Lycke J. Increased intrathecal neurofilament light and immunoglobulin M predict severe disability in relapsing-remitting multiple sclerosis. Front Immunol 2022; 13:967953. [PMID: 36032114 PMCID: PMC9399944 DOI: 10.3389/fimmu.2022.967953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 07/25/2022] [Indexed: 11/15/2022] Open
Abstract
Background Emerging evidence supports that determination of intrathecal immunoglobulin M (IgM) synthesis (ITMS) and neurofilament light (NfL) concentration in cerebrospinal fluid (CSF) may be clinically useful as disease severity biomarkers in relapsing-remitting multiple sclerosis (RRMS). Methods Monocentric observational longitudinal cohort study in which prospectively collected data were retrospectively retrieved. Included were patients with RRMS (n=457) who had a diagnostic investigation including analysis of ITMS and CSF neurofilament light (cNfL). ITMS was calculated with the linear index formula, the intrathecal fraction of IgM according to Reiber (IgMIF), and by qualitative determination of oligoclonal IgM bands (OCMB). Univariable and multivariable models were performed to predict Evidence of Disease Activity-3 (EDA-3) status within 24 months from onset, and the risk of Expanded Disability Status Score (EDSS) ≥3 and ≥6. Results All investigated methods to calculate ITMS significantly predicted evidence of disease activity (EDA-3) within 24 months. IgMIF>0% showed the strongest association with EDA-3 status (adjusted hazard ratio [aHR] 3.7, 95%CI 2.7-5, p<0.001). Combining IgM-index>0.1 or OCMB with increased cNfL were strong predictors of EDSS≥3 (for cNfL+/IgM-index+: aHR 4.6, 95%CI 2.6-8.2, p<0.001) and EDSS≥6 (aHR 8.2, 95%CI 2.3-30, p<0.001). Conclusions In a real-world setting, ITMS was a useful biomarker in early RRMS to predict disabling MS and its prognostic value was even stronger in combination with cNfL. Our data suggest that determination of ITMS and cNfL should be included in the diagnostic work-up of RRMS for prognostic purposes and in decisions of disease-modifying therapy.
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Affiliation(s)
- Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- *Correspondence: Igal Rosenstein,
| | - Sofia Rasch
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Markus Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lenka Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, 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
| | - Henrik Zetterberg
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, University of Gothenburg, Mölndal, Sweden
- UK Dementia Research Institute at University College London (UCL), London, United Kingdom
- Department of Neurodegenerative Disease, University College London (UCL) Queen Square Institute of Neurology, London, United Kingdom
- Hong Kong Centre for Neurodegenerative Diseases, Hong Kong, Hong Kong SAR, China
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology at Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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22
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Aloizou AM, Liampas I, Provatas A, Brotis A, Siokas V, Bakritzis C, Liakos P, Tsouris Z, Dardiotis E. Baseline neurofilament levels in cerebrospinal fluid do not correlate with long-term prognosis in multiple sclerosis. Mult Scler Relat Disord 2022; 64:103940. [DOI: 10.1016/j.msard.2022.103940] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Revised: 05/27/2022] [Accepted: 06/03/2022] [Indexed: 11/26/2022]
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23
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Adams A, Tilden W, Bestwick J, Holden D, Bianchi L, Smets I, Giovannoni G, Gnanapavan S. The relationship of CSF neurofilament levels with MRI lesion location and disease activity in Multiple Sclerosis. Eur J Neurol 2022; 29:2754-2760. [PMID: 35615966 PMCID: PMC9544913 DOI: 10.1111/ene.15419] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Revised: 04/24/2022] [Accepted: 05/13/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND Neurofilament light chain (NfL) is an accepted biomarker of disease activity in MS, but its relationship with MRI activity, particularly in reference to lesion location and recurrent activity is not well understood. METHODS In 139 MS patients who underwent lumbar punctures with follow up in 25, we evaluated the relationship between CSF NFL and cranial MRI based on lesion location and lesion number. Spearman rank correlation was used to assess the association between CSF NFL and MRI lesion location and lesion counts at baseline and follow up at 1 year. Multiple linear regression analysis was performed to assess which lesion location was most strongly associated with CSF NFL values. RESULTS The associations between baseline CSF NFL and lesion location and follow-up lesions were modest, whilst those between baseline MRI and follow-up CSF NFL were greater: periventricular (r=0.31, p=0.141), juxtacortical (r=0.47, p=0.022), infratentorial (r=0.71, p≤0.001), and cord lesions (r=0.60, p=0.002). All associations, however improved following adjustment for disease duration and type of MS. Modelling revealed 53% of (log) CSF NfL could be explained by variance in baseline MRI lesion location. CONCLUSIONS Baseline CSF NFL did not correlate with current or future MRI activity and lesion location. However, baseline MRI activity explained around 53% variation in the follow up CSF NfL, suggesting that the relationship between MRI and CSF NfL is mainly precedent rather than an association, one occurring before another.
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Affiliation(s)
- Ashok Adams
- Department of Neuroradiology, Barts Health NHS Trust, London, UK
| | - William Tilden
- Department of Neuroradiology, Barts Health NHS Trust, London, UK
| | - Jonathan Bestwick
- Wolfson Institute of Preventative Medicine, Queen Mary University of London, UK
| | - David Holden
- Department of Neurocience & Trauma, Blizard Institute, Queen Mary University of London, UK
| | - Lucia Bianchi
- Department of Neurocience & Trauma, Blizard Institute, Queen Mary University of London, UK
| | - Ide Smets
- Department of Neurocience & Trauma, Blizard Institute, Queen Mary University of London, UK
| | - Gavin Giovannoni
- Department of Neurocience & Trauma, Blizard Institute, Queen Mary University of London, UK.,Department of Neurology, Barts Health NHS Trust, London, UK
| | - Sharmilee Gnanapavan
- Department of Neurocience & Trauma, Blizard Institute, Queen Mary University of London, UK.,Department of Neurology, Barts Health NHS Trust, London, UK
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24
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Cui Y, Yu H, Bu Z, Wen L, Yan L, Feng J. Focus on the Role of the NLRP3 Inflammasome in Multiple Sclerosis: Pathogenesis, Diagnosis, and Therapeutics. Front Mol Neurosci 2022; 15:894298. [PMID: 35694441 PMCID: PMC9175009 DOI: 10.3389/fnmol.2022.894298] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Accepted: 05/05/2022] [Indexed: 12/11/2022] Open
Abstract
Neuroinflammation is initiated with an aberrant innate immune response in the central nervous system (CNS) and is involved in many neurological diseases. Inflammasomes are intracellular multiprotein complexes that can be used as platforms to induce the maturation and secretion of proinflammatory cytokines and pyroptosis, thus playing a pivotal role in neuroinflammation. Among the inflammasomes, the nucleotide-binding oligomerization domain-, leucine-rich repeat- and pyrin domain-containing 3 (NLRP3) inflammasome is well-characterized and contributes to many neurological diseases, such as multiple sclerosis (MS), Alzheimer's disease (AD), and ischemic stroke. MS is a chronic autoimmune disease of the CNS, and its hallmarks include chronic inflammation, demyelination, and neurodegeneration. Studies have demonstrated a relationship between MS and the NLRP3 inflammasome. To date, the pathogenesis of MS is not fully understood, and clinical studies on novel therapies are still underway. Here, we review the activation mechanism of the NLRP3 inflammasome, its role in MS, and therapies targeting related molecules, which may be beneficial in MS.
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25
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Yang J, Hamade M, Wu Q, Wang Q, Axtell R, Giri S, Mao-Draayer Y. Current and Future Biomarkers in Multiple Sclerosis. Int J Mol Sci 2022; 23:ijms23115877. [PMID: 35682558 PMCID: PMC9180348 DOI: 10.3390/ijms23115877] [Citation(s) in RCA: 40] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 05/06/2022] [Accepted: 05/08/2022] [Indexed: 12/14/2022] Open
Abstract
Multiple sclerosis (MS) is a debilitating autoimmune disorder. Currently, there is a lack of effective treatment for the progressive form of MS, partly due to insensitive readout for neurodegeneration. The recent development of sensitive assays for neurofilament light chain (NfL) has made it a potential new biomarker in predicting MS disease activity and progression, providing an additional readout in clinical trials. However, NfL is elevated in other neurodegenerative disorders besides MS, and, furthermore, it is also confounded by age, body mass index (BMI), and blood volume. Additionally, there is considerable overlap in the range of serum NfL (sNfL) levels compared to healthy controls. These confounders demonstrate the limitations of using solely NfL as a marker to monitor disease activity in MS patients. Other blood and cerebrospinal fluid (CSF) biomarkers of axonal damage, neuronal damage, glial dysfunction, demyelination, and inflammation have been studied as actionable biomarkers for MS and have provided insight into the pathology underlying the disease process of MS. However, these other biomarkers may be plagued with similar issues as NfL. Using biomarkers of a bioinformatic approach that includes cellular studies, micro-RNAs (miRNAs), extracellular vesicles (EVs), metabolomics, metabolites and the microbiome may prove to be useful in developing a more comprehensive panel that addresses the limitations of using a single biomarker. Therefore, more research with recent technological and statistical approaches is needed to identify novel and useful diagnostic and prognostic biomarker tools in MS.
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Affiliation(s)
- Jennifer Yang
- Department of Neurology, Clinical Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (J.Y.); (M.H.); (Q.W.); (Q.W.)
| | - Maysa Hamade
- Department of Neurology, Clinical Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (J.Y.); (M.H.); (Q.W.); (Q.W.)
| | - Qi Wu
- Department of Neurology, Clinical Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (J.Y.); (M.H.); (Q.W.); (Q.W.)
| | - Qin Wang
- Department of Neurology, Clinical Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (J.Y.); (M.H.); (Q.W.); (Q.W.)
| | - Robert Axtell
- Department of Arthritis and Clinical Immunology Research, Oklahoma Medical Research Foundation, Oklahoma City, OK 73104, USA;
| | - Shailendra Giri
- Department of Neurology, Henry Ford Health System, Detroit, MI 48202, USA;
| | - Yang Mao-Draayer
- Department of Neurology, Clinical Autoimmunity Center of Excellence, University of Michigan Medical School, Ann Arbor, MI 48109, USA; (J.Y.); (M.H.); (Q.W.); (Q.W.)
- Graduate Program in Immunology, Program in Biomedical Sciences, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Correspondence: ; Tel.: +1-734-615-5635
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26
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Biernacki T, Kokas Z, Sandi D, Füvesi J, Fricska-Nagy Z, Faragó P, Kincses TZ, Klivényi P, Bencsik K, Vécsei L. Emerging Biomarkers of Multiple Sclerosis in the Blood and the CSF: A Focus on Neurofilaments and Therapeutic Considerations. Int J Mol Sci 2022; 23:ijms23063383. [PMID: 35328802 PMCID: PMC8951485 DOI: 10.3390/ijms23063383] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Revised: 03/12/2022] [Accepted: 03/17/2022] [Indexed: 12/12/2022] Open
Abstract
INTRODUCTION Multiple Sclerosis (MS) is the most common immune-mediated chronic neurodegenerative disease of the central nervous system (CNS) affecting young people. This is due to the permanent disability, cognitive impairment, and the enormous detrimental impact MS can exert on a patient's health-related quality of life. It is of great importance to recognise it in time and commence adequate treatment at an early stage. The currently used disease-modifying therapies (DMT) aim to reduce disease activity and thus halt disability development, which in current clinical practice are monitored by clinical and imaging parameters but not by biomarkers found in blood and/or the cerebrospinal fluid (CSF). Both clinical and radiological measures routinely used to monitor disease activity lack information on the fundamental pathophysiological features and mechanisms of MS. Furthermore, they lag behind the disease process itself. By the time a clinical relapse becomes evident or a new lesion appears on the MRI scan, potentially irreversible damage has already occurred in the CNS. In recent years, several biomarkers that previously have been linked to other neurological and immunological diseases have received increased attention in MS. Additionally, other novel, potential biomarkers with prognostic and diagnostic properties have been detected in the CSF and blood of MS patients. AREAS COVERED In this review, we summarise the most up-to-date knowledge and research conducted on the already known and most promising new biomarker candidates found in the CSF and blood of MS patients. DISCUSSION the current diagnostic criteria of MS relies on three pillars: MRI imaging, clinical events, and the presence of oligoclonal bands in the CSF (which was reinstated into the diagnostic criteria by the most recent revision). Even though the most recent McDonald criteria made the diagnosis of MS faster than the prior iteration, it is still not an infallible diagnostic toolset, especially at the very early stage of the clinically isolated syndrome. Together with the gold standard MRI and clinical measures, ancillary blood and CSF biomarkers may not just improve diagnostic accuracy and speed but very well may become agents to monitor therapeutic efficacy and make even more personalised treatment in MS a reality in the near future. The major disadvantage of these biomarkers in the past has been the need to obtain CSF to measure them. However, the recent advances in extremely sensitive immunoassays made their measurement possible from peripheral blood even when present only in minuscule concentrations. This should mark the beginning of a new biomarker research and utilisation era in MS.
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Affiliation(s)
- Tamás Biernacki
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Zsófia Kokas
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Dániel Sandi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Judit Füvesi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Zsanett Fricska-Nagy
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Péter Faragó
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Tamás Zsigmond Kincses
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
- Albert Szent-Györgyi Clinical Centre, Department of Radiology, Albert Szent-Györgyi Faculty of Medicine, University of Szeged, 6725 Szeged, Hungary
| | - Péter Klivényi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - Krisztina Bencsik
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
| | - László Vécsei
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, 6725 Szeged, Hungary; (T.B.); (Z.K.); (D.S.); (J.F.); (Z.F.-N.); (P.F.); (T.Z.K.); (P.K.); (K.B.)
- MTA-SZTE Neuroscience Research Group, University of Szeged, 6725 Szeged, Hungary
- Correspondence: ; Tel.: +36-62-545-356; Fax: +36-62-545-597
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Arneth B, Kraus J. Experimental laboratory biomarkers in multiple sclerosis. Wien Med Wochenschr 2022; 172:346-358. [PMID: 35254566 DOI: 10.1007/s10354-022-00920-7] [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: 10/13/2021] [Accepted: 01/27/2022] [Indexed: 10/18/2022]
Abstract
BACKGROUND Multiple sclerosis (MS) is a chronic autoimmune disorder of the central nervous system; the cause of this condition remains unknown. Researchers have analyzed different biomarkers related to MS. Here, experimental laboratory biomarkers for MS are identified and analyzed. METHODS The current study examined articles investigating biomarkers for MS. Records were obtained from the PubMed, LILACS, and EBSCO databases using an identical search strategy and terms that included "multiple sclerosis," "MS," and "biomarkers." In the current review, we also focus on lesser known biomarkers that have not yet been established for use in clinical practice. RESULTS Previous studies have explored molecular substances that may help diagnose MS and manage its adverse effects. Commonly studied factors include neurofilaments, sCD163, CXCL13, NEO, NF‑L, OPN, B cells, T cells, and integrin-binding proteins. CONCLUSIONS Interactions between environmental and genetic factors have been implicated in the development of MS. Previous investigations have identified a wide range of biomarkers that can be used for diagnosis and disease management. These molecules and their associated studies provide vital insight and data to help primary physicians improve clinical and health outcomes for MS patients.
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Affiliation(s)
- Borros Arneth
- Institute of Laboratory Medicine and Pathobiochemistry, Justus Liebig University Giessen, Giessen, Germany.
| | - Jörg Kraus
- Department of Laboratory Medicine, Paracelsus Medical University and Salzburger Landeskliniken, Salzburg, Austria.,Department of Neurology, Medical Faculty, Heinrich Heine University, Düsseldorf, Germany
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Souza FDS, Freitas NL, Gomes YCP, Torres R, Echevarria-Lima J, da Silva-Filho IL, Leite ACB, de Lima MASD, da Silva MT, Araújo ADQC, Espíndola OM. Following the Clues: Usefulness of Biomarkers of Neuroinflammation and Neurodegeneration in the Investigation of HTLV-1-Associated Myelopathy Progression. Front Immunol 2021; 12:737941. [PMID: 34764955 PMCID: PMC8576432 DOI: 10.3389/fimmu.2021.737941] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Accepted: 10/11/2021] [Indexed: 11/13/2022] Open
Abstract
Human T-lymphotropic virus type 1 (HTLV-1)-associated myelopathy/tropical spastic paraparesis (HAM/TSP) is a neurodegenerative disease due to axonal damage of the corticospinal secondary to an inflammatory response against infected T-cells. In the present work, we aimed to evaluate biomarkers of neurodegeneration and neuroinflammation in the definition of HAM/TSP prognosis. Neurofilament light (NfL) and phosphorylated heavy (pNfH) chains, total Tau protein, cellular prion protein (PrPc), inflammatory chemokines, and neopterin were quantified in paired cerebrospinal fluid (CSF) and serum samples from HAM/TSP patients (n=21), HTLV-1 asymptomatic carriers (AC) (n=13), and HTLV-1 seronegative individuals with non-inflammatory non-degenerative neurological disease (normal-pressure hydrocephalus) (n=9) as a control group. HTLV-1 proviral load in peripheral blood mononuclear cells and the expression of chemokine receptors CCR4, CCR5, and CXCR3 in infected CD4+ T-cells (HTLV-1 Tax+ cells) were also assessed. CSF levels of Tau, NfL, and pNfH were similar between groups, but PrPc and neopterin were elevated in HAM/TSP patients. Most individuals in the control group and all HTLV-1 AC had CSF/serum neopterin ratio < 1.0, and two-thirds of HAM/TSP patients had ratio values > 1.0, which positively correlated with the speed of disease progression and pNfH levels, indicating active neuroinflammation. HAM/TSP patients showed high serum levels of CXCR3-binding chemokines (CXCL9, CXCL10, and CXCL11) and elevated CSF levels of CCL2, CCL3, CCL4, CCL17, CXCL5, CXCL10, and CXCL11. Indeed, CXCL10 concentration in CSF of HAM/TSP patients was 5.8-fold and 8.7-fold higher in than in HTLV-1 AC and controls, respectively, and correlated with CSF cell counts. HAM/TSP patients with typical/rapid disease progression had CSF/serum CXCL10 ratio > 1.0 and a higher frequency of CXCR3+Tax+CD4+ T-cells in blood, which indicated a positive gradient for the migration of infected cells and infiltration into the central nervous system. In conclusion, the slow progression of HAM/TSP abrogates the usefulness of biomarkers of neuronal injury for the disease prognosis. Thus, markers of inflammation provide stronger evidence for HAM/TSP progression, particularly the CSF/serum neopterin ratio, which may contribute to overcome differences between laboratory assays.
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Affiliation(s)
- Flávia dos Santos Souza
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
- Seção de Imunodiagnóstico, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Nicole Lardini Freitas
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Yago Côrtes Pinheiro Gomes
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Rafael Carvalho Torres
- Plataforma de Imunoanálises, Instituto de Biofísica Carlos Chagas Filho (IBCCF), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
- Serviço de Citometria de Fluxo, Instituto de Puericultura e Pediatria Martagão Gesteira, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Juliana Echevarria-Lima
- Laboratório de Imunologia Básica e Aplicada, Instituto de Microbiologia Paulo de Góes, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Isaac Lima da Silva-Filho
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Ana Claudia Celestino Bezerra Leite
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Marco Antonio Sales Dantas de Lima
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
- Serviço de Neurologia, Hospital Universitário Clementino Fraga Filho, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Marcus Tulius Teixeira da Silva
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
| | - Abelardo de Queiroz Campos Araújo
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
- Instituto de Neurologia Deolindo Couto (INDC), Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, Brazil
| | - Otávio Melo Espíndola
- Laboratório de Pesquisa Clínica em Neuroinfecções, Instituto Nacional de Infectologia Evandro Chagas (INI), Fundação Oswaldo Cruz (FIOCRUZ), Rio de Janeiro, Brazil
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Kouchaki E, Dashti F, Mirazimi SMA, Alirezaei Z, Jafari SH, Hamblin MR, Mirzaei H. Neurofilament light chain as a biomarker for diagnosis of multiple sclerosis. EXCLI JOURNAL 2021; 20:1308-1325. [PMID: 34602928 PMCID: PMC8481790 DOI: 10.17179/excli2021-3973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2021] [Accepted: 07/22/2021] [Indexed: 12/16/2022]
Abstract
The treatments for multiple sclerosis (MS) have improved over the past 25 years, but now the main question for physicians is deciding who should receive treatment, for how long, and when to switch to other options. These decisions are typically based on treatment tolerance and a reasonable expectation of long-term efficacy. A significant unmet need is the lack of accurate laboratory measurements for diagnosis, and monitoring of treatment response, including deterioration and disease progression. There are few validated biomarkers for MS, and in practice, physicians employ two biomarkers discovered fifty years ago for MS diagnosis, often in combination with MRI scans. These biomarkers are intrathecal IgG and oligoclonal bands in the CSF (cerebrospinal fluid). Neurofilament light chain (NfL) is a relatively new biomarker for MS diagnosis and follow up. Neurofilaments are neuron-specific cytoskeleton proteins that can be measured in various body compartments. NfL is a new biomarker for MS that can be measured in serum samples, but this still needs further study to specify the laboratory cut-off values in clinical practice. In the present review we discuss the evidence for NfL as a reliable biomarker for the early detection and management of MS. Moreover, we highlight the correlation between MRI and NfL, and ask whether they can be combined.
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Affiliation(s)
- Ebrahim Kouchaki
- MS Fellowship, Department of Neurology, School of Medicine, Physiology Research Center, Kashan University of Medical Sciences, Kashan, Iran
| | - Fatemeh Dashti
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.,Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Seyed Mohammad Ali Mirazimi
- School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.,Student Research Committee, Kashan University of Medical Sciences, Kashan, Iran
| | - Zahra Alirezaei
- Department of Medical Physics, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.,Paramedical School, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Seyed Hamed Jafari
- Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran.,School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Michael R Hamblin
- Laser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein 2028, South Africa
| | - Hamed Mirzaei
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, IR, Iran
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Uphaus T, Steffen F, Muthuraman M, Ripfel N, Fleischer V, Groppa S, Ruck T, Meuth SG, Pul R, Kleinschnitz C, Ellwardt E, Loos J, Engel S, Zipp F, Bittner S. NfL predicts relapse-free progression in a longitudinal multiple sclerosis cohort study. EBioMedicine 2021; 72:103590. [PMID: 34571362 PMCID: PMC8479646 DOI: 10.1016/j.ebiom.2021.103590] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2021] [Revised: 09/02/2021] [Accepted: 09/06/2021] [Indexed: 11/18/2022] Open
Abstract
Background Easily accessible biomarkers enabling the identification of those patients with multiple sclerosis (MS) who will accumulate irreversible disability in the long term are essential to guide early therapeutic decisions. We here examine the utility of serum neurofilament light chain (sNfL) for forecasting relapse-free disability progression and conversion to secondary progressive MS (SPMS) in the prospective Neurofilamentandlongtermoutcome inMS (NaloMS) cohort. Methods The predictive ability of sNfL at Baseline and sNfL follow-up (FU)/ Baseline (BL) ratio with regard to disability progression was assessed within a development cohort (NaloMS, n=196 patients with relapsing-remitting MS (RRMS) or clinically isolated syndrome) and validated with an external independent cohort (Düsseldorf, Essen, n=204). Both relapse-free EDSS-progression (RFP: inflammatory-independent EDSS-increase 12 months prior to FU) and SPMS-transition (minimum EDSS-score of 3.0) were investigated. Findings During the study period, 17% (n=34) of NaloMS patients suffered from RFP and 14% (n=27) converted to SPMS at FU (validation cohort RFP n=42, SPMS-conversion n=24). sNfL at BL was increased in patients with RFP (10.8 pg/ml (interquartile range (IQR) 7.7-15.0) vs. 7.2 pg/ml (4.5-12.5), p<0.017). In a multivariable logistic regression model, increased sNfL levels at BL (Odds Ratio (OR) 1.02, 95% confidence interval (CI) 1.01-1.04, p=0.012) remained an independent risk factor for RFP and predicted individual RFP risk with an accuracy of 82% (NaloMS) and 83% (validation cohort) as revealed by support vector machine. In addition, the sNfL FU/BL ratio was increased in SPMS-converters (1.16 (0.89-1.70) vs. 0.96 (0.75-1.23), p=0.011). This was confirmed by a multivariable logistic regression model, as sNfL FU/BL ratio remained in the model (OR 1.476, 95%CI 1.078-2,019, p=0.015) and individual sNfL FU/BL ratios showed a predictive accuracy of 72% in NaloMS (63% in the validation cohort) as revealed by machine learning. Interpretation sNfL levels at baseline predict relapse-free disability progression in a prospective longitudinal cohort study 6 years later. While prediction was confirmed in an independent cohort, sNfL further discriminates patients with SPMS at follow-up and supports early identification of patients at risk for later SPMS conversion. Funding This work was supported by the German Research Council (CRC-TR-128), Else Kröner Fresenius Foundation and Hertie-Stiftung.
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Affiliation(s)
- Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), 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 (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Biomedical Statistics and Multimodal Signal Processing Unit, Focus Program Translational Neuroscience (FTN) Neuroimaging Center, Department of Neurology, Rhine Main Neuroscience Network (rmn2), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Nina Ripfel
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Tobias Ruck
- Department of Neurology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Sven G Meuth
- Department of Neurology, Heinrich-Heine-University, Düsseldorf, Germany
| | - Refik Pul
- Department of Neurology and Center for Translational and Behavioral Neuroscience (C-TBNS), University Duisburg-Essen, Essen, Germany
| | - Christoph Kleinschnitz
- Department of Neurology and Center for Translational and Behavioral Neuroscience (C-TBNS), University Duisburg-Essen, Essen, Germany
| | - Erik Ellwardt
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Loos
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Sinah Engel
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN) and Immunotherapy (FZI), Rhine Main Neuroscience Network (rmn(2)), 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 (rmn(2)), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany.
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Potential Biomarkers Associated with Multiple Sclerosis Pathology. Int J Mol Sci 2021; 22:ijms221910323. [PMID: 34638664 PMCID: PMC8508638 DOI: 10.3390/ijms221910323] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2021] [Revised: 09/21/2021] [Accepted: 09/23/2021] [Indexed: 12/15/2022] Open
Abstract
Multiple sclerosis (MS) is a complex disease of the central nervous system (CNS) that involves an intricate and aberrant interaction of immune cells leading to inflammation, demyelination, and neurodegeneration. Due to the heterogeneity of clinical subtypes, their diagnosis becomes challenging and the best treatment cannot be easily provided to patients. Biomarkers have been used to simplify the diagnosis and prognosis of MS, as well as to evaluate the results of clinical treatments. In recent years, research on biomarkers has advanced rapidly due to their ability to be easily and promptly measured, their specificity, and their reproducibility. Biomarkers are classified into several categories depending on whether they address personal or predictive susceptibility, diagnosis, prognosis, disease activity, or response to treatment in different clinical courses of MS. The identified members indicate a variety of pathological processes of MS, such as neuroaxonal damage, gliosis, demyelination, progression of disability, and remyelination, among others. The present review analyzes biomarkers in cerebrospinal fluid (CSF) and blood serum, the most promising imaging biomarkers used in clinical practice. Furthermore, it aims to shed light on the criteria and challenges that a biomarker must face to be considered as a standard in daily clinical practice.
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Williams T, Zetterberg H, Chataway J. Neurofilaments in progressive multiple sclerosis: a systematic review. J Neurol 2021; 268:3212-3222. [PMID: 32447549 PMCID: PMC8357650 DOI: 10.1007/s00415-020-09917-x] [Citation(s) in RCA: 48] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/11/2020] [Accepted: 05/13/2020] [Indexed: 12/13/2022]
Abstract
BACKGROUND Neurofilament proteins have been extensively studied in relapsing-remitting multiple sclerosis, where they are promising biomarkers of disease activity and treatment response. Their role in progressive multiple sclerosis, where there is a particularly urgent need for improved biomarkers, is less clear. The objectives of this systematic review are to summarise the literature on neurofilament light and heavy in progressive multiple sclerosis, addressing key questions. METHODS A systematic search of PubMed, Embase, Web of Science and Scopus identified 355 potential sources. 76 relevant sources were qualitatively reviewed using QUADAS-2 criteria, and 17 were identified as at low risk of bias. We summarise the findings from all relevant sources, and separately from the 17 high-quality studies. RESULTS Differences in neurofilament light between relapsing-remitting and progressive multiple sclerosis appear to be explained by differences in covariates. Neurofilament light is consistently associated with current inflammatory activity and future brain atrophy in progressive multiple sclerosis, and is consistently shown to be a marker of treatment response with immunosuppressive disease-modifying therapies. Associations with current or future disability are inconsistent, and there is no evidence of NFL being a responsive marker of purportedly neuroprotective treatments. Evidence on neurofilament heavy is more limited and inconsistent. CONCLUSIONS Neurofilament light has shown consistent utility as a biomarker of neuroinflammation, future brain atrophy and immunosuppressive treatment response at a group level. Neither neurofilament light or heavy has shown a consistent treatment response to neuroprotective disease-modifying therapies, which will require further data from successful randomised controlled trials.
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Affiliation(s)
- Thomas Williams
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, UK.
| | - Henrik Zetterberg
- Department of Neurodegenerative Disease, Faculty of Brain Sciences, UCL Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
- 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
| | - Jeremy Chataway
- Department of Neuroinflammation, Faculty of Brain Sciences, Queen Square Multiple Sclerosis Centre, UCL Queen Square Institute of Neurology, University College London, London, UK
- Biomedical Research Centre, National Institute for Health Research, University College London Hospitals, London, UK
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Rosenstein I, Axelsson M, Novakova L, Blennow K, Zetterberg H, Lycke J. Exploring CSF neurofilament light as a biomarker for MS in clinical practice; a retrospective registry-based study. Mult Scler 2021; 28:872-884. [PMID: 34392718 PMCID: PMC9024026 DOI: 10.1177/13524585211039104] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Neurofilament light (NFL) has been increasingly recognized for prognostic and therapeutic decisions. Objective: To validate the utility of cerebrospinal fluid NFL (cNFL) as a biomarker in clinical practice of relapsing-remitting multiple sclerosis (RRMS). Methods: RRMS patients (n = 757) who had cNFL analyzed as part of the diagnostic work-up in a single academic multiple sclerosis (MS) center, 2001–2018, were retrospectively identified. cNFL concentrations were determined with two different immunoassays and the ratio of means between them was used for normalization. Results: RRMS with relapse had 4.4 times higher median cNFL concentration (1134 [interquartile range (IQR) 499–2744] ng/L) than those without relapse (264 [125–537] ng/L, p < 0.001) and patients with gadolinium-enhancing lesions had 3.3 times higher median NFL (1414 [606.8–3210] ng/L) than those without (426 [IQR 221–851] ng/L, p < 0.001). The sensitivity and specificity of cNFL to detect disease activity was 75% and 98.5%, respectively. High cNFL at MS onset predicted progression to Expanded Disability Status Scale (EDSS) ⩾ 3 (p < 0.001, hazard ratios (HR) = 1.89, 95% CI = 1.44–2.65) and conversion to secondary progressive MS (SPMS, p = 0.001, HR = 2.5, 95% CI = 1.4–4.2). Conclusions: cNFL is a robust and reliable biomarker of disease activity, treatment response, and prediction of disability and conversion from RRMS to SPMS. Our data suggest that cNFL should be included in the assessment of patients at MS-onset.
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Affiliation(s)
- Igal Rosenstein
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Markus Axelsson
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Lenka Novakova
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden/Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden/Department of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, University College London, London, UK/UK Dementia Research Institute, University College London (UCL), London, UK
| | - Jan Lycke
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska University Hospital, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
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Rupnik M, Baker D, Selwood DL. Oligodendrocytes, BK channels and remyelination. F1000Res 2021; 10:781. [PMID: 34909188 PMCID: PMC8596180 DOI: 10.12688/f1000research.53422.1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/28/2021] [Indexed: 11/09/2023] Open
Abstract
Oligodendrocytes wrap multiple lamellae of their membrane, myelin, around axons of the central nervous system (CNS), to improve impulse conduction. Myelin synthesis is specialised and dynamic, responsive to local neuronal excitation. Subtle pathological insults are sufficient to cause significant neuronal metabolic impairment, so myelin preservation is necessary to safeguard neural networks. Multiple sclerosis (MS) is the most prevalent demyelinating disease of the CNS. In MS, inflammatory attacks against myelin, proposed to be autoimmune, cause myelin decay and oligodendrocyte loss, leaving neurons vulnerable. Current therapies target the prominent neuroinflammation but are mostly ineffective in protecting from neurodegeneration and the progressive neurological disability. People with MS have substantially higher levels of extracellular glutamate, the main excitatory neurotransmitter. This impairs cellular homeostasis to cause excitotoxic stress. Large conductance Ca2 +-activated K + channels (BK channels) could preserve myelin or allow its recovery by protecting cells from the resulting excessive excitability. This review evaluates the role of excitotoxic stress, myelination and BK channels in MS pathology, and explores the hypothesis that BK channel activation could be a therapeutic strategy to protect oligodendrocytes from excitotoxic stress in MS. This could reduce progression of neurological disability if used in parallel to immunomodulatory therapies.
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Affiliation(s)
- Maddalena Rupnik
- Wolfson Insitute for Biomedical Research, University College London, London, WC1E 6BT, UK
| | - David Baker
- Centre for Neuroscience and Trauma, Blizard Institute, Queen Mary University of London, London, WC1E 6BT, UK
| | - David L. Selwood
- Wolfson Insitute for Biomedical Research, University College London, London, WC1E 6BT, UK
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Rupnik M, Baker D, Selwood DL. Oligodendrocytes, BK channels and the preservation of myelin. F1000Res 2021; 10:781. [PMID: 34909188 PMCID: PMC8596180 DOI: 10.12688/f1000research.53422.2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 11/02/2021] [Indexed: 11/20/2022] Open
Abstract
Oligodendrocytes wrap multiple lamellae of their membrane, myelin, around axons of the central nervous system (CNS), to improve impulse conduction. Myelin synthesis is specialised and dynamic, responsive to local neuronal excitation. Subtle pathological insults are sufficient to cause significant neuronal metabolic impairment, so myelin preservation is necessary to safeguard neural networks. Multiple sclerosis (MS) is the most prevalent demyelinating disease of the CNS. In MS, inflammatory attacks against myelin, proposed to be autoimmune, cause myelin decay and oligodendrocyte loss, leaving neurons vulnerable. Current therapies target the prominent neuroinflammation but are mostly ineffective in protecting from neurodegeneration and the progressive neurological disability. People with MS have substantially higher levels of extracellular glutamate, the main excitatory neurotransmitter. This impairs cellular homeostasis to cause excitotoxic stress. Large conductance Ca2 +-activated K + channels (BK channels) could preserve myelin or allow its recovery by protecting cells from the resulting excessive excitability. This review evaluates the role of excitotoxic stress, myelination and BK channels in MS pathology, and explores the hypothesis that BK channel activation could be a therapeutic strategy to protect oligodendrocytes from excitotoxic stress in MS. This could reduce progression of neurological disability if used in parallel to immunomodulatory therapies.
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Affiliation(s)
- Maddalena Rupnik
- Wolfson Insitute for Biomedical Research, University College London, London, WC1E 6BT, UK
| | - David Baker
- Centre for Neuroscience and Trauma, Blizard Institute, Queen Mary University of London, London, WC1E 6BT, UK
| | - David L. Selwood
- Wolfson Insitute for Biomedical Research, University College London, London, WC1E 6BT, UK
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Satapathy MK, Yen TL, Jan JS, Tang RD, Wang JY, Taliyan R, Yang CH. Solid Lipid Nanoparticles (SLNs): An Advanced Drug Delivery System Targeting Brain through BBB. Pharmaceutics 2021; 13:1183. [PMID: 34452143 PMCID: PMC8402065 DOI: 10.3390/pharmaceutics13081183] [Citation(s) in RCA: 75] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2021] [Revised: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 12/12/2022] Open
Abstract
The blood-brain barrier (BBB) plays a vital role in the protection and maintenance of homeostasis in the brain. In this way, it is an interesting target as an interface for various types of drug delivery, specifically in the context of the treatment of several neuropathological conditions where the therapeutic agents cannot cross the BBB. Drug toxicity and on-target specificity are among some of the limitations associated with current neurotherapeutics. In recent years, advances in nanodrug delivery have enabled the carrier system containing the active therapeutic drug to target the signaling pathways and pathophysiology that are closely linked to central nervous system (CNS) disorders such as Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), multiple sclerosis (MS), brain tumor, epilepsy, ischemic stroke, and neurodegeneration. At present, among the nano formulations, solid lipid nanoparticles (SLNs) have emerged as a putative drug carrier system that can deliver the active therapeutics (drug-loaded SLNs) across the BBB at the target site of the brain, offering a novel approach with controlled drug delivery, longer circulation time, target specificity, and higher efficacy, and more importantly, reducing toxicity in a biomimetic way. This paper highlights the synthesis and application of SLNs as a novel nontoxic formulation strategy to carry CNS drugs across the BBB to improve the use of therapeutics agents in treating major neurological disorders in future clinics.
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Affiliation(s)
- Mantosh Kumar Satapathy
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan; (M.K.S.); (T.-L.Y.); (J.-S.J.); (R.-D.T.)
| | - Ting-Lin Yen
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan; (M.K.S.); (T.-L.Y.); (J.-S.J.); (R.-D.T.)
- Department of Medical Research, Cathay General Hospital, Taipei 22174, Taiwan
| | - Jing-Shiun Jan
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan; (M.K.S.); (T.-L.Y.); (J.-S.J.); (R.-D.T.)
| | - Ruei-Dun Tang
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan; (M.K.S.); (T.-L.Y.); (J.-S.J.); (R.-D.T.)
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan;
| | - Jia-Yi Wang
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan;
- Department of Neurosurgery, Taipei Medical University Hospital, Taipei 110, Taiwan
- Neuroscience Research Center, Taipei Medical University, Taipei 110, Taiwan
| | - Rajeev Taliyan
- Department of Pharmacy, Neuropsychopharmacology Division, Birla Institute of Technology and Science, Pilani 333031, India;
| | - Chih-Hao Yang
- Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University, No. 250, Wu Hsing St., Taipei 110, Taiwan; (M.K.S.); (T.-L.Y.); (J.-S.J.); (R.-D.T.)
- Neuroscience Research Center, Taipei Medical University, Taipei 110, Taiwan
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Ye F, Wang T, Wu X, Liang J, Li J, Sheng W. N6-Methyladenosine RNA modification in cerebrospinal fluid as a novel potential diagnostic biomarker for progressive multiple sclerosis. J Transl Med 2021; 19:316. [PMID: 34294105 PMCID: PMC8296732 DOI: 10.1186/s12967-021-02981-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2021] [Accepted: 07/11/2021] [Indexed: 01/01/2023] Open
Abstract
Background Progressive multiple sclerosis (PMS) is an uncommon and severe subtype of MS that worsens gradually and leads to irreversible disabilities in young adults. Currently, there are no applicable or reliable biomarkers to distinguish PMS from relapsing–remitting multiple sclerosis (RRMS). Previous studies have demonstrated that dysfunction of N6-methyladenosine (m6A) RNA modification is relevant to many neurological disorders. Thus, the aim of this study was to explore the diagnostic biomarkers for PMS based on m6A regulatory genes in the cerebrospinal fluid (CSF). Methods Gene expression matrices were downloaded from the ArrayExpress database. Then, we identified differentially expressed m6A regulatory genes between MS and non-MS patients. MS clusters were identified by consensus clustering analysis. Next, we analyzed the correlation between clusters and clinical characteristics. The random forest (RF) algorithm was applied to select key m6A-related genes. The support vector machine (SVM) was then used to construct a diagnostic gene signature. Receiver operating characteristic (ROC) curves were plotted to evaluate the accuracy of the diagnostic model. In addition, CSF samples from MS and non-MS patients were collected and used for external validation, as evaluated by an m6A RNA Methylation Quantification Kit and by real-time quantitative polymerase chain reaction. Results The 13 central m6A RNA methylation regulators were all upregulated in MS patients when compared with non-MS patients. Consensus clustering analysis identified two clusters, both of which were significantly associated with MS subtypes. Next, we divided 61 MS patients into a training set (n = 41) and a test set (n = 20). The RF algorithm identified eight feature genes, and the SVM method was successfully applied to construct a diagnostic model. ROC curves revealed good performance. Finally, the analysis of 11 CSF samples demonstrated that RRMS samples exhibited significantly higher levels of m6A RNA methylation and higher gene expression levels of m6A-related genes than PMS samples. Conclusions The dynamic modification of m6A RNA methylation is involved in the progression of MS and could potentially represent a novel CSF biomarker for diagnosing MS and distinguishing PMS from RRMS in the early stages of the disease. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-021-02981-5.
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Affiliation(s)
- Fei Ye
- Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Tianzhu Wang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoxin Wu
- Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jie Liang
- Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.,Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Jiaoxing Li
- Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China
| | - Wenli Sheng
- Department of Neurology, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China. .,Guangdong Provincial Key Laboratory of Diagnosis and Treatment of Major Neurological Diseases, The First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
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Ivanova M, Voronkova A, Sukhorukov V, Zakharova M. Different neuroinflammatory gene expression profiles in highly active and benign multiple sclerosis. J Neuroimmunol 2021; 358:577650. [PMID: 34274720 DOI: 10.1016/j.jneuroim.2021.577650] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 05/28/2021] [Accepted: 06/27/2021] [Indexed: 01/31/2023]
Abstract
In this study, we aimed to explore the expression of genes associated with neuroinflammation in patients with benign and highly active multiple sclerosis (MS) and healthy controls, to define gene signatures associated with MS as well as disease activity and progression. We identified differences in the expression of 89 genes in benign and highly active MS patients and in healthy controls (q < 0.05). Twenty-eight genes related to myeloid cells function, the innate immune response, apoptosis, and autophagy were differentially expressed in patients with benign and highly active MS. Time to second relapse and expanded disability status scale (EDSS) scores were correlated with the expression of genes associated with myeloid cells function, innate immunity, and apoptosis. Our results could indicate the importance of innate immunity-associated pathways in maintaining high disease activity in MS and their crucial role in disease progression.
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Barzegar M, Najdaghi S, Afshari-Safavi A, Nehzat N, Mirmosayyeb O, Shaygannejad V. Early predictors of conversion to secondary progressive multiple sclerosis. Mult Scler Relat Disord 2021; 54:103115. [PMID: 34216997 DOI: 10.1016/j.msard.2021.103115] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 06/10/2021] [Accepted: 06/22/2021] [Indexed: 11/17/2022]
Abstract
BACKGROUND We conducted this study to estimated the time of conversion from relapsing-remitting MS (RRMS) to SPMS and its early predictor factors. METHODS In this retrospective study, demographic, clinical, and imaging data from MS patients at diagnosis were extracted. Cox proportional hazards model was used to assess the association between various baseline characteristics and conversion to SPMS. We also assessed the association brtween escalation and early intensive therapy approaches with transition to progressive phase. RESULTS Out of 1903 patients with RRMS at baseline, 293 (15.4%) patients progressed to SPMS during follow-up. The estimated number of patients converted to SPMS was 10% at 10-years, 50% at 20-years, and 93% at 30-years. On multivariate Cox regression analysis older age at onset (HR: 1.067, 95%CI: 1.048-1.085, p < 0.001), smoking (HR: 2.120, 95%CI: 1.203-3.736, p = 0.009), higher EDSS at onset (HR: 1.199, 95%CI: 1.109-1.295, p < 0.001), motor dysfunction (HR: 2.470, 95%CI: 1.605-3.800, p < 0.001), cerebellar dysfunction (HR: 3.096, 95%CI: 1.840-5.211, p < 0.001), and presence of lesions in spinal cord (HR: 0.573, 95%CI: 0.297-0.989, p = 0.042) increased the risk of conversion from RRMS to SPMS. No significant difference between escalation and EIT groups in the risk of transition to progressive phase (weighted HR = 1.438; 95% CI: 0.963, 2.147; p = 0.076) was found. CONCLUSION Our data support previous observations that smoking is a modifiable risk factor for secondary progressive MS and confirms that spinal cord involvement, age, and more severe disease at onset are prognostic factors for converting to secondary progressive MS.
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Affiliation(s)
- Mahdi Barzegar
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Soroush Najdaghi
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Alireza Afshari-Safavi
- Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Department of Biostatistics and Epidemiology, Faculty of Health, North Khorasan University of Medical Sciences, Bojnurd, Iran
| | - Nasim Nehzat
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Omid Mirmosayyeb
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran; Universal Council of Epidemiology (UCE), Universal Scientific Education and Research Network (USERN), Tehran University of Medical Sciences, Tehran, Iran
| | - Vahid Shaygannejad
- Isfahan Neurosciences Research Center, Isfahan University of Medical Sciences, Isfahan, Iran; Department of neurology, Isfahan University of Medical Sciences, Isfahan, Iran.
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Sandi D, Fricska-Nagy Z, Bencsik K, Vécsei L. Neurodegeneration in Multiple Sclerosis: Symptoms of Silent Progression, Biomarkers and Neuroprotective Therapy-Kynurenines Are Important Players. Molecules 2021; 26:molecules26113423. [PMID: 34198750 PMCID: PMC8201043 DOI: 10.3390/molecules26113423] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2021] [Revised: 06/01/2021] [Accepted: 06/03/2021] [Indexed: 12/17/2022] Open
Abstract
Neurodegeneration is one of the driving forces behind the pathogenesis of multiple sclerosis (MS). Progression without activity, pathopsychological disturbances (cognitive impairment, depression, fatigue) and even optic neuropathy seems to be mainly routed in this mechanism. In this article, we aim to give a comprehensive review of the clinical aspects and symptomology, radiological and molecular markers and potential therapeutic targets of neurodegeneration in connection with MS. As the kynurenine pathway (KP) was evidenced to play an important role in the pathogenesis of other neurodegenerative conditions (even implied to have a causative role in some of these diseases) and more and more recent evidence suggest the same central role in the neurodegenerative processes of MS as well, we pay special attention to the KP. Metabolites of the pathway are researched as biomarkers of the disease and new, promising data arising from clinical evaluations show the possible therapeutic capability of KP metabolites as neuroprotective drugs in MS. Our conclusion is that the kynurenine pathway is a highly important route of research both for diagnostic and for therapeutic values and is expected to yield concrete results for everyday medicine in the future.
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Affiliation(s)
- Dániel Sandi
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - Zsanett Fricska-Nagy
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - Krisztina Bencsik
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
| | - László Vécsei
- Albert Szent-Györgyi Clinical Centre, Department of Neurology, Faculty of General Medicine, University of Szeged, H-6725 Szeged, Hungary; (D.S.); (Z.F.-N.); (K.B.)
- MTA-SZTE Neuroscience Research Group, University of Szeged, H-6725 Szeged, Hungary
- Interdisciplinary Excellence Centre, University of Szeged, H-6725 Szeged, Hungary
- Correspondence: ; Tel.: +36-62-545-384; Fax: +36-62-545-597
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Seitz CB, Steffen F, Muthuraman M, Uphaus T, Krämer J, Meuth SG, Albrecht P, Groppa S, Zipp F, Bittner S, Fleischer V. Serum neurofilament levels reflect outer retinal layer changes in multiple sclerosis. Ther Adv Neurol Disord 2021; 14:17562864211003478. [PMID: 34104217 PMCID: PMC8155762 DOI: 10.1177/17562864211003478] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2020] [Accepted: 02/28/2021] [Indexed: 11/29/2022] Open
Abstract
Background: Serum neurofilament light chain (sNfL) and distinct intra-retinal layers are
both promising biomarkers of neuro-axonal injury in multiple sclerosis (MS).
We aimed to unravel the association of both markers in early MS, having
identified that neurofilament has a distinct immunohistochemical expression
pattern among intra-retinal layers. Methods: Three-dimensional (3D) spectral domain macular optical coherence tomography
scans and sNfL levels were investigated in 156 early MS patients
(female/male: 109/47, mean age: 33.3 ± 9.5 years, mean disease duration:
2.0 ± 3.3 years). Out of the whole cohort, 110 patients had no history of
optic neuritis (NHON) and 46 patients had a previous history of optic
neuritis (HON). In addition, a subgroup of patients
(n = 38) was studied longitudinally over 2 years. Support
vector machine analysis was applied to test a regression model for
significant changes. Results: In our cohort, HON patients had a thinner outer plexiform layer (OPL) volume
compared to NHON patients (B = −0.016, SE = 0.006,
p = 0.013). Higher sNfL levels were significantly
associated with thinner OPL volumes in HON patients
(B = −6.734, SE = 2.514, p = 0.011). This
finding was corroborated in the longitudinal subanalysis by the association
of higher sNfL levels with OPL atrophy (B = 5.974,
SE = 2.420, p = 0.019). sNfL levels were 75.7% accurate at
predicting OPL volume in the supervised machine learning. Conclusions: In summary, sNfL levels were a good predictor of future outer retinal
thinning in MS. Changes within the neurofilament-rich OPL could be
considered as an additional retinal marker linked to MS
neurodegeneration.
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Affiliation(s)
- Caspar B Seitz
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Falk Steffen
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Muthuraman Muthuraman
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Timo Uphaus
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Julia Krämer
- Department of Neurology with Institute of Translational Neurology, University of Münster, Albert-Schweizer-Campus, Münster, Germany
| | - Sven G Meuth
- Department of Neurology with Institute of Translational Neurology, University of Münster, Albert-Schweizer-Campus, Münster, Germany
| | - Philipp Albrecht
- Department of Neurology, Medical Faculty, Heinrich-Heine University, Düsseldorf, Germany
| | - Sergiu Groppa
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Frauke Zipp
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Stefan Bittner
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany
| | - Vinzenz Fleischer
- Department of Neurology, Focus Program Translational Neuroscience (FTN), Rhine Main Neuroscience Network (rmn), University Medical Center of the Johannes Gutenberg University Mainz, Langenbeckstr. 1, Mainz 55131, Germany
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Meca-Lallana V, Berenguer-Ruiz L, Carreres-Polo J, Eichau-Madueño S, Ferrer-Lozano J, Forero L, Higueras Y, Téllez Lara N, Vidal-Jordana A, Pérez-Miralles FC. Deciphering Multiple Sclerosis Progression. Front Neurol 2021; 12:608491. [PMID: 33897583 PMCID: PMC8058428 DOI: 10.3389/fneur.2021.608491] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2020] [Accepted: 03/11/2021] [Indexed: 12/12/2022] Open
Abstract
Multiple sclerosis (MS) is primarily an inflammatory and degenerative disease of the central nervous system, triggered by unknown environmental factors in patients with predisposing genetic risk profiles. The prevention of neurological disability is one of the essential goals to be achieved in a patient with MS. However, the pathogenic mechanisms driving the progressive phase of the disease remain unknown. It was described that the pathophysiological mechanisms associated with disease progression are present from disease onset. In daily practice, there is a lack of clinical, radiological, or biological markers that favor an early detection of the disease's progression. Different definitions of disability progression were used in clinical trials. According to the most descriptive, progression was defined as a minimum increase in the Expanded Disability Status Scale (EDSS) of 1.5, 1.0, or 0.5 from a baseline level of 0, 1.0–5.0, and 5.5, respectively. Nevertheless, the EDSS is not the most sensitive scale to assess progression, and there is no consensus regarding any specific diagnostic criteria for disability progression. This review document discusses the current pathophysiological concepts associated with MS progression, the different measurement strategies, the biomarkers associated with disability progression, and the available pharmacologic therapeutic approaches.
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Affiliation(s)
- Virginia Meca-Lallana
- Multiple Sclerosis Unit, Neurology Department, Fundación de Investigación Biomédica, Hospital Universitario de la Princesa, Madrid, Spain
| | | | - Joan Carreres-Polo
- Neuroradiology Section, Radiology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain
| | - Sara Eichau-Madueño
- Multiple Sclerosis CSUR Unit, Neurology Department, Hospital Universitario Virgen Macarena, Seville, Spain
| | - Jaime Ferrer-Lozano
- Department of Pathology, Hospital Universitari i Politècnic La Fe, Valencia, Spain
| | - Lucía Forero
- Neurology Department, Hospital Puerta del Mar, Cádiz, Spain
| | - Yolanda Higueras
- Neurology Department, Instituto de Investigación Sanitaria Gregorio Marañón (IISGM), Hospital Universitario Gregorio Marañón, Madrid, Spain.,Department of Experimental Psychology, Cognitive Processes and Speech Therapy, Universidad Complutense, Madrid, Spain
| | - Nieves Téllez Lara
- Neurology Department, Hospital Clínico Universitario de Valladolid, Valladolid, Spain
| | - Angela Vidal-Jordana
- Neurology/Neuroimmunology Department, Centre d'Esclerosi Múltiple de Catalunya (Cemcat), Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Francisco Carlos Pérez-Miralles
- Neuroimmunology Unit, Neurology Department, Hospital Universitari i Politècnic La Fe, Valencia, Spain.,Department of Medicine, University of València, Valencia, Spain
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Wang P, Jiang LL, Wang C, Zhu Z, Lai C. Neurofilament Protein as a Potential Biomarker of Axonal Degeneration in Experimental Autoimmune Encephalomyelitis. Neurol India 2021; 68:364-367. [PMID: 32189712 DOI: 10.4103/0028-3886.280651] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background Neurofilament proteins as biomarkers of axonal degeneration have the potential to improve our capacity to predict and monitor neurological outcome in experimental autoimmune encephalitis (EAE), a model of multiple sclerosis (MS). We urgently need more accurate early predictive markers to direct the clinician when to provide neuroprotective therapy. Aims To highlight the possible roles of neurofilament proteins in physiological and pathophysiological processes in the MS. Materials and Methods Fifty female Wistar rats with MOG35-55 peptide induced EAE were randomly divided into two parts: control group and EAE group. All of them were along with expanded disability status scale (EDSS). The mice were sacrificed on day 0, 1, 3, 7, 14, and 28 after the first immunization. Supernatant and pellet were separated at the same time. The degradation rates of NF in the brain nerve and spinal cord of each rat were measured by Western Blotting. Statistical Analysis The data were expressed as mean ± SD. Statistical analysis was performed with one-way analysis of variance (ANOVA), followed by LSD's post-hoc tests, which was provided by SPSS 23.0 statistical software. Results and Conclusions Neurofilament light protein may be more useful as a measure of ongoing neurodegenerative activity in EAE, which would make this protein a potential candidate for use as a surrogate marker for assessment of treatments aimed at reducing axonal injury. Future studies are warranted to support or refute the value neurofilament in clinical practice.
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Affiliation(s)
- Pin Wang
- Department of Neurology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Lu L Jiang
- Department of Neurotoxicology, Institute of Toxicology, School of Public Health, Shandong University, Shandong, China
| | - Cunfu Wang
- Department of Neurology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Zhengyu Zhu
- Department of Neurology, The Second Hospital of Shandong University, Jinan, Shandong, China
| | - Chao Lai
- Department of Neurology, The Second Hospital of Shandong University, Jinan, Shandong, China
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Magliozzi R, Pitteri M, Ziccardi S, Pisani AI, Montibeller L, Marastoni D, Rossi S, Mazziotti V, Guandalini M, Dapor C, Schiavi G, Tamanti A, Nicholas R, Reynolds R, Calabrese M. CSF parvalbumin levels reflect interneuron loss linked with cortical pathology in multiple sclerosis. Ann Clin Transl Neurol 2021; 8:534-547. [PMID: 33484486 PMCID: PMC7951111 DOI: 10.1002/acn3.51298] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/15/2020] [Accepted: 11/11/2020] [Indexed: 12/12/2022] Open
Abstract
Introduction and methods In order to verify whether parvalbumin (PVALB), a protein specifically expressed by GABAergic interneurons, could be a MS‐specific marker of grey matter neurodegeneration, we performed neuropathology/molecular analysis of PVALB expression in motor cortex of 40 post‐mortem progressive MS cases, with/without meningeal inflammation, and 10 control cases, in combination with cerebrospinal fluid (CSF) assessment. Analysis of CSF PVALB and neurofilaments (Nf‐L) levels combined with physical/cognitive/3TMRI assessment was performed in 110 naïve MS patients and in 32 controls at time of diagnosis. Results PVALB gene expression was downregulated in MS (fold change = 3.7 ± 1.2, P < 0.001 compared to controls) reflecting the significant reduction of PVALB+ cell density in cortical lesions, to a greater extent in MS patients with high meningeal inflammation (51.8, P < 0.001). Likewise, post‐mortem CSF‐PVALB levels were higher in MS compared to controls (fold change = 196 ± 36, P < 0.001) and correlated with decreased PVALB+ cell density (r = −0.64, P < 0.001) and increased MHC‐II+ microglia density (r = 0.74, P < 0.01), as well as with early age of onset (r = −0.69, P < 0.05), shorter time to wheelchair (r = −0.49, P < 0.05) and early age of death (r = −0.65, P < 0.01). Increased CSF‐PVALB levels were detected in MS patients at diagnosis compared to controls (P = 0.002). Significant correlation was found between CSF‐PVALB levels and cortical lesion number on MRI (R = 0.28, P = 0.006) and global cortical thickness (R = −0.46, P < 0.001), better than Nf‐L levels. CSF‐PVALB levels increased in MS patients with severe cognitive impairment (mean ± SEM:25.2 ± 7.5 ng/mL) compared to both cognitively normal (10.9 ± 2.4, P = 0.049) and mild cognitive impaired (10.1 ± 2.9, P = 0.024) patients. Conclusions CSF‐PVALB levels reflect loss of cortical interneurons in MS patients with more severe disease course and might represent an early, new MS‐specific biomarker of cortical neurodegeneration, atrophy, and cognitive decline.
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Affiliation(s)
- Roberta Magliozzi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy.,Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Marco Pitteri
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Stefano Ziccardi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Anna Isabella Pisani
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Luigi Montibeller
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Damiano Marastoni
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Stefania Rossi
- Department of Oncology and Molecular Oncology, Istituto Superiore di Sanità, Rome, Italy
| | - Valentina Mazziotti
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Maddalena Guandalini
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Caterina Dapor
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Gianmarco Schiavi
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Agnese Tamanti
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
| | - Richard Nicholas
- Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Richard Reynolds
- Division of Neuroscience, Department of Brain Sciences, Imperial College London, London, United Kingdom
| | - Massimiliano Calabrese
- Neurology Section, Department of Neurosciences, Biomedicine and Movement Sciences, University of Verona, Verona, Italy
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Hares K, Kemp K, Loveless S, Rice CM, Scolding N, Tallantyre E, Robertson N, Wilkins A. KIF5A and the contribution of susceptibility genotypes as a predictive biomarker for multiple sclerosis. J Neurol 2021; 268:2175-2184. [PMID: 33484325 PMCID: PMC8179895 DOI: 10.1007/s00415-020-10373-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 12/11/2020] [Accepted: 12/14/2020] [Indexed: 12/01/2022]
Abstract
There is increasing interest in the development of multiple sclerosis (MS) biomarkers that reflect central nervous system tissue injury to determine prognosis. We aimed to assess the prognostic value of kinesin superfamily motor protein KIF5A in MS by measuring levels of KIF5A in cerebrospinal fluid (CSF) combined with analysis of single nucleotide polymorphisms (SNPs; rs12368653 and rs703842) located within a MS susceptibility gene locus at chromosome 12q13-14 region. Enzyme-linked immunosorbent assay was used to measure KIF5A in CSF obtained from two independent biobanks comprising non-inflammatory neurological disease controls (NINDC), clinically isolated syndrome (CIS) and MS cases. CSF KIF5A expression was significantly elevated in progressive MS cases compared with NINDCs, CIS and relapsing-remitting MS (RRMS). In addition, levels of KIF5A positively correlated with change in MS disease severity scores (EDSS, MSSS and ARMSSS), in RRMS patients who had documented disease progression at 2-year clinical follow-up. Copies of adenine risk alleles (AG/AA; rs12368653 and rs703842) corresponded with a higher proportion of individuals in relapse at the time of lumbar puncture (LP), higher use of disease-modifying therapies post LP and shorter MS duration. Our study suggests that CSF KIF5A has potential as a predictive biomarker in MS and further studies into the potential prognostic value of analysing MS susceptibility SNPs should be considered.
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Affiliation(s)
- Kelly Hares
- MS and Stem Cell Group, Institute of Clinical Neurosciences, Bristol Medical School: Translational Health Sciences, University of Bristol, Clinical Neurosciences Office, 1st Floor, Learning and Research Building, Southmead Hospital, Bristol, BS10 5NB, UK.
| | - K Kemp
- MS and Stem Cell Group, Institute of Clinical Neurosciences, Bristol Medical School: Translational Health Sciences, University of Bristol, Clinical Neurosciences Office, 1st Floor, Learning and Research Building, Southmead Hospital, Bristol, BS10 5NB, UK
| | - S Loveless
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - C M Rice
- MS and Stem Cell Group, Institute of Clinical Neurosciences, Bristol Medical School: Translational Health Sciences, University of Bristol, Clinical Neurosciences Office, 1st Floor, Learning and Research Building, Southmead Hospital, Bristol, BS10 5NB, UK
| | - N Scolding
- MS and Stem Cell Group, Institute of Clinical Neurosciences, Bristol Medical School: Translational Health Sciences, University of Bristol, Clinical Neurosciences Office, 1st Floor, Learning and Research Building, Southmead Hospital, Bristol, BS10 5NB, UK
| | - E Tallantyre
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - N Robertson
- Division of Psychological Medicine and Clinical Neuroscience, School of Medicine, Cardiff University, Cardiff, UK
| | - A Wilkins
- MS and Stem Cell Group, Institute of Clinical Neurosciences, Bristol Medical School: Translational Health Sciences, University of Bristol, Clinical Neurosciences Office, 1st Floor, Learning and Research Building, Southmead Hospital, Bristol, BS10 5NB, UK
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Allen CM, Mowry E, Tintore M, Evangelou N. Prognostication and contemporary management of clinically isolated syndrome. J Neurol Neurosurg Psychiatry 2020; 92:jnnp-2020-323087. [PMID: 33361410 DOI: 10.1136/jnnp-2020-323087] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/21/2020] [Revised: 11/23/2020] [Accepted: 11/24/2020] [Indexed: 11/04/2022]
Abstract
Clinically isolated syndrome (CIS) patients present with a single attack of inflammatory demyelination of the central nervous system. Recent advances in multiple sclerosis (MS) diagnostic criteria have expanded the number of CIS patients eligible for a diagnosis of MS at the onset of the disease, shrinking the prevalence of CIS. MS treatment options are rapidly expanding, which is driving the need to recognise MS at its earliest stages. In CIS patients, finding typical MS white matter lesions on the patient's MRI scan remains the most influential prognostic investigation for predicting subsequent diagnosis with MS. Additional imaging, cerebrospinal fluid and serum testing, information from the clinical history and genetic testing also contribute. For those subsequently diagnosed with MS, there is a wide spectrum of long-term clinical outcomes. Detailed assessment at the point of presentation with CIS provides fewer clues to calculate a personalised risk of long-term severe disability.Clinicians should select suitable CIS cases for steroid treatment to speed neurological recovery. Unfortunately, there are still no neuroprotection or remyelination strategies available. The use of MS disease modifying therapy for CIS varies among clinicians and national guidelines, suggesting a lack of robust evidence to guide practice. Clinicians should focus on confirming MS speedily and accurately with appropriate investigations. Diagnosis with CIS provides an opportune moment to promote a healthy lifestyle, in particular smoking cessation. Patients also need to understand the link between CIS and MS. This review provides clinicians an update on the contemporary evidence guiding prognostication and management of CIS.
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Affiliation(s)
- Christopher Martin Allen
- Department of Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
| | - Ellen Mowry
- Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia, Centre d'Esclerosi Múltiple de Catalunya, (Cemcat), Vall d'Hebron University Hospital, Barcelona, Spain
- Multiple Sclerosis Centre of Catalonia, Vall d'Hebron University Hospital, Barcelona, Spain
| | - Nikos Evangelou
- Department of Clinical Neurology, Division of Clinical Neuroscience, University of Nottingham, Nottingham, UK
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47
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Anderson V, Bentley E, Loveless S, Bianchi L, Harding KE, Wynford-Thomas RA, Joseph F, Giovannoni G, Gnanapavan S, Robertson NP, Marta M, Tallantyre EC. Serum neurofilament-light concentration and real-world outcome in MS. J Neurol Sci 2020; 417:117079. [DOI: 10.1016/j.jns.2020.117079] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Revised: 07/01/2020] [Accepted: 07/31/2020] [Indexed: 01/27/2023]
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Abstract
Multiple sclerosis is one of the most common autoimmune diseases affecting the central nervous system. Current guidelines characterize multiple sclerosis and related conditions based on clinical, imaging, and body fluid markers. In this review, we describe how laboratory analysis of cerebrospinal fluid is currently performed and discuss new approaches under development for multiple sclerosis diagnostics.
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Affiliation(s)
- Joshua F Goldsmith
- Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA
| | - A Zara Herskovits
- Department of Pathology, Beth Israel Deaconess Medical Center, 330 Brookline Avenue, Boston, MA 02215, USA.
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49
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Iacobaeus E, Arrambide G, Amato MP, Derfuss T, Vukusic S, Hemmer B, Tintore M, Brundin L. Aggressive multiple sclerosis (1): Towards a definition of the phenotype. Mult Scler 2020; 26:1352458520925369. [PMID: 32530385 PMCID: PMC7412876 DOI: 10.1177/1352458520925369] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 04/06/2020] [Accepted: 04/16/2020] [Indexed: 02/06/2023]
Abstract
While the major phenotypes of multiple sclerosis (MS) and relapsing-remitting, primary and secondary progressive MS have been well characterized, a subgroup of patients with an active, aggressive disease course and rapid disability accumulation remains difficult to define and there is no consensus about their management and treatment. The current lack of an accepted definition and treatment guidelines for aggressive MS triggered a 2018 focused workshop of the European Committee for Treatment and Research in Multiple Sclerosis (ECTRIMS) on aggressive MS. The aim of the workshop was to discuss approaches on how to describe and define the disease phenotype and its treatments. Unfortunately, it was not possible to come to consensus on a definition because of unavailable data correlating severe disease with imaging and molecular biomarkers. However, the workshop highlighted the need for future research needed to define this disease subtype while also focusing on its treatment and management. Here, we review previous attempts to define aggressive MS and present characteristics that might, with additional research, eventually help characterize it. A companion paper summarizes data regarding treatment and management.
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Affiliation(s)
- Ellen Iacobaeus
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
| | - Georgina Arrambide
- Servei de Neurologia-Neuroimmunologia. Centre d’Esclerosi Múltiple de Catalunya, (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Maria Pia Amato
- Department NeuroFarBa, University of Florence, Florence, Italy/IRCCS Fondazione Don Carlo Gnocchi, Florence, Italy
| | - Tobias Derfuss
- Departments of Neurology and Biomedicine, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Sandra Vukusic
- Service de neurologie, Sclérose en plaques, Pathologies de la myéline et neuro-inflammation, and Centre de Référence des Maladies Inflammatoires Rares du Cerveau et de la Moelle, Hôpital Neurologique Pierre Wertheimer, Hospices Civils de Lyon, Lyon/Bron, France; Centre des Neurosciences de Lyon, Observatoire Français de la Sclérose en Plaques, INSERM 1028 et CNRS UMR5292, Lyon, France; Université Claude Bernard Lyon 1, Faculté de médecine Lyon Est, Lyon, France
| | - Bernhard Hemmer
- Department of Neurology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, Munich, Germany; Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Mar Tintore
- Servei de Neurologia-Neuroimmunologia. Centre d’Esclerosi Múltiple de Catalunya, (Cemcat), Vall d’Hebron Institut de Recerca, Hospital Universitari Vall d’Hebron, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Lou Brundin
- Department of Clinical Neuroscience, Division of Neurology, Karolinska Institute and Karolinska University Hospital, Stockholm, Sweden
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50
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Ferrazzano G, Crisafulli SG, Baione V, Tartaglia M, Cortese A, Frontoni M, Altieri M, Pauri F, Millefiorini E, Conte A. Early diagnosis of secondary progressive multiple sclerosis: focus on fluid and neurophysiological biomarkers. J Neurol 2020; 268:3626-3645. [PMID: 32504180 DOI: 10.1007/s00415-020-09964-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 05/28/2020] [Accepted: 05/30/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND AND AIMS Most patients with multiple sclerosis presenting with a relapsing-remitting disease course at diagnosis transition to secondary progressive multiple sclerosis (SPMS) 1-2 decades after onset. SPMS is characterized by predominant neurodegeneration and atrophy. These pathogenic hallmarks result in unsatisfactory treatment response in SPMS patients. Therefore, early diagnosis of SPMS is necessary for prompt treatment decisions. The aim of this review was to assess neurophysiological and fluid biomarkers that have the potential to monitor disease progression and support early SPMS diagnosis. METHODS We performed a systematic review of studies that analyzed the role of neurophysiological techniques and fluid biomarkers in supporting SPMS diagnosis using the preferred reporting items for systematic reviews and meta-analyses statement. RESULTS From our initial search, we selected 24 relevant articles on neurophysiological biomarkers and 55 articles on fluid biomarkers. CONCLUSION To date, no neurophysiological or fluid biomarker is sufficiently validated to support the early diagnosis of SPMS. Neurophysiological measurements, including short interval intracortical inhibition and somatosensory temporal discrimination threshold, and the neurofilament light chain fluid biomarker seem to be the most promising. Cross-sectional studies on an adequate number of patients followed by longitudinal studies are needed to confirm the diagnostic and prognostic value of these biomarkers. A combination of neurophysiological and fluid biomarkers may be more sensitive in detecting SPMS conversion.
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Affiliation(s)
- Gina Ferrazzano
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Viola Baione
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Matteo Tartaglia
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Antonio Cortese
- Multiple Sclerosis Center, San Filippo Neri Hospital, Rome, Italy
| | - Marco Frontoni
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Marta Altieri
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | - Flavia Pauri
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy
| | | | - Antonella Conte
- Department of Human Neurosciences, Sapienza University of Rome, Rome, Italy. .,IRCCS Neuromed, Pozzilli, IS, Italy.
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