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Ayrignac X, Aouinti S, Vincent T, Carra-Dallière C, Charif M, Duflos C, Hirtz C, Dos Santos A, Menjot de Champfleur N, Labauge P, Lehmann S. Serum NfL and GFAP are weak predictors of long-term multiple sclerosis prognosis: A 6-year follow-up. Mult Scler Relat Disord 2024; 89:105747. [PMID: 39053395 DOI: 10.1016/j.msard.2024.105747] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 06/19/2024] [Accepted: 06/23/2024] [Indexed: 07/27/2024]
Abstract
BACKGROUND Serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) are promising biomarkers that might be associated with clinical and radiological markers of multiple sclerosis (MS) severity. However, it is not known whether they can accurately identify patients at risk of disability progression in the medium and long term. OBJECTIVES We wanted to determine the association between sNfL and sGFAP, Expanded Disability Status Scale score changes, and conversion to secondary progressive MS (SPMS) in a cohort of 133 patients with relapsing remitting MS. METHODS Blood samples were collected at inclusion to measure SNfL and sGFAP by single molecule array and their prognostic value was assessed using a linear mixed model. RESULTS In this cohort, 37 patients (27.8 % of 133) experienced disability progression and 12 patients (9.0 %) converted to SPMS during the follow-up (mean follow-up duration: 6.4 years). Only sNfL (p = 0.03) was associated with conversion to SPMS, and neither SNfL nor sGFAP was associated with disability progression. CONCLUSION Serum NfL and GFAP do not seem to accurately predict MS outcome in the long term. More studies are needed to determine how serum biomarkers, associated with other clinical and MRI biomarkers, might be used to improve MS prognostication.
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Affiliation(s)
- Xavier Ayrignac
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France.
| | - Safa Aouinti
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Thierry Vincent
- University of Montpellier, INM, INSERM, CHU Montpellier, Department of Immunology, CHU Montpellier, Montpellier, France
| | - Clarisse Carra-Dallière
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France
| | - Mahmoud Charif
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France
| | - Claire Duflos
- Clinical Research and Epidemiology Unit, CHU Montpellier, Univ Montpellier, Montpellier, France
| | - Christophe Hirtz
- University of Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France
| | | | - Nicolas Menjot de Champfleur
- University of Montpellier, INSERM, CHU Montpellier, CNRS, Department of Neuroradiology, CHU Montpellier, Montpellier, France
| | - Pierre Labauge
- University of Montpellier, INM, INSERM, MS referral center & reference center for adult-onset leukodystrophies, CHU Montpellier, Montpellier, France
| | - Sylvain Lehmann
- University of Montpellier, IRMB CHU de Montpellier, INM INSERM, Montpellier, France
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Ghezzi A, Neuteboom RF. Neurofilament Light Chain in Adult and Pediatric Multiple Sclerosis: A Promising Biomarker to Better Characterize Disease Activity and Personalize MS Treatment. Neurol Ther 2023; 12:1867-1881. [PMID: 37682513 PMCID: PMC10630260 DOI: 10.1007/s40120-023-00535-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 08/15/2023] [Indexed: 09/09/2023] Open
Abstract
Many biological markers have been explored in multiple sclerosis (MS) to better quantify disease burden and better evaluate response to treatments, beyond clinical and MRI data. Among these, neurofilament light chain (Nf-L), although non-specific for this disease and found to be increased in other neurological conditions, has been shown to be the most promising biomarker for assessing axonal damage in MS, with a definite role in predicting the development of MS in patients at the first neurological episode suggestive of MS, and also in a preclinical phase. There is strong evidence that Nf-L levels are increased more in relapsing versus stable MS patients, and that they predict future disease evolution (relapses, progression, MRI measures of activity/progression) in MS patients, providing information on response to therapy, helping to anticipate clinical decisions in patients with an apparently stable evolution, and identifying patient non-responders to disease-modifying treatments. Moreover, Nf-L can contribute to the better understanding of the mechanisms of demyelination and axonal damage in adult and pediatric MS. A fundamental requirement for its clinical use is the accurate standardization of normal values, corrected for confounding factors, in particular age, sex, body mass index, and presence of comorbidities. In this review, a guide is provided to update clinicians on the use of Nf-L in clinical activity.
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Affiliation(s)
- Angelo Ghezzi
- Dipartimento di Scienze della Salute, Università Piemonte Orientale A. Avogadro, Via Solaroli 17, 28100, Novara, Italy.
| | - R F Neuteboom
- Department of Neurology, ErasMS Center, Erasmus MC, PO Box 2040, 3000, Rotterdam, The Netherlands
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Uher T, Adzima A, Srpova B, Noskova L, Maréchal B, Maceski AM, Krasensky J, Stastna D, Andelova M, Novotna K, Vodehnalova K, Motyl J, Friedova L, Lindner J, Ravano V, Burgetova A, Dusek P, Fialova L, Havrdova EK, Horakova D, Kober T, Kuhle J, Vaneckova M. Diagnostic delay of multiple sclerosis: prevalence, determinants and consequences. Mult Scler 2023; 29:1437-1451. [PMID: 37840276 PMCID: PMC10580682 DOI: 10.1177/13524585231197076] [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: 05/22/2023] [Revised: 08/07/2023] [Accepted: 08/09/2023] [Indexed: 10/17/2023]
Abstract
BACKGROUND Early diagnosis and treatment of patients with multiple sclerosis (MS) are associated with better outcomes; however, diagnostic delays remain a major problem. OBJECTIVE Describe the prevalence, determinants and consequences of delayed diagnoses. METHODS This single-centre ambispective study analysed 146 adult relapsing-remitting MS patients (2016-2021) for frequency and determinants of diagnostic delays and their associations with clinical, cognitive, imaging and biochemical measures. RESULTS Diagnostic delays were identified in 77 patients (52.7%), including 42 (28.7%) physician-dependent cases and 35 (24.0%) patient-dependent cases. Diagnosis was delayed in 22 (15.1%) patients because of misdiagnosis by a neurologist. A longer diagnostic delay was associated with trends towards greater Expanded Disability Status Scale (EDSS) scores (B = 0.03; p = 0.034) and greater z-score of the blood neurofilament light chain (B = 0.35; p = 0.031) at the time of diagnosis. Compared with patients diagnosed at their first clinical relapse, patients with a history of >1 relapse at diagnosis (n = 63; 43.2%) had a trend towards greater EDSS scores (B = 0.06; p = 0.006) and number of total (B = 0.13; p = 0.040) and periventricular (B = 0.06; p = 0.039) brain lesions. CONCLUSION Diagnostic delays in MS are common, often determined by early misdiagnosis and associated with greater disease burden.
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Affiliation(s)
- Tomas Uher
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Adrian Adzima
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Barbora Srpova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Libuse Noskova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Bénédicte Maréchal
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland/Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland/Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Aleksandra Maleska Maceski
- Departments of Medicine, Biomedicine and Clinical Research, Neurologic Clinic and Policlinic, University Hospital Basel, University of Basel, Basel, Switzerland
| | - Jan Krasensky
- Department of Radiology, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Dominika Stastna
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Michaela Andelova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Klara Novotna
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Karolina Vodehnalova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Jiri Motyl
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Lucie Friedova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Jiri Lindner
- Department of Radiology, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Veronica Ravano
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland/Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland/Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Andrea Burgetova
- Department of Radiology, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Petr Dusek
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic/Department of Radiology, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
| | - Lenka Fialova
- Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Eva Kubala Havrdova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Dana Horakova
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine and General University Hospital, Charles University, Prague, Czech Republic
| | - Tobias Kober
- Advanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland/Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland/Signal Processing Laboratory (LTS5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Jens Kuhle
- Multiple Sclerosis Centre and Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
- Department of Neurology, University Hospital and University of Basel, Basel, Switzerland
| | - Manuela Vaneckova
- Department of Radiology, Charles University in Prague, First Faculty of Medicine and General University Hospital in Prague, Czech Republic
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Barro C, Healy BC, Liu Y, Saxena S, Paul A, Polgar-Turcsanyi M, Guttmann CR, Bakshi R, Kropshofer H, Weiner HL, Chitnis T. Serum GFAP and NfL Levels Differentiate Subsequent Progression and Disease Activity in Patients With Progressive Multiple Sclerosis. NEUROLOGY - NEUROIMMUNOLOGY NEUROINFLAMMATION 2023; 10:10/1/e200052. [DOI: 10.1212/nxi.0000000000200052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Accepted: 09/06/2022] [Indexed: 11/16/2022]
Abstract
Background and ObjectivesNeurodegeneration and astrocytic activation are pathologic hallmarks of progressive multiple sclerosis (MS) and can be quantified by serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP). We investigated sNfL and sGFAP as tools for stratifying patients with progressive MS based on progression and disease activity status.MethodsWe leveraged our Comprehensive Longitudinal Investigation of MS at the Brigham and Women's Hospital (CLIMB) natural history study, which includes clinical, MRI data and serum samples collected over more than 20 years. We included patients with MS with a confirmed Expanded Disability Status Scale (EDSS) score ≥3 that corresponds with our classifier for patients at high risk of underlying progressive pathology. We analyzed sNfL and sGFAP within 6 months from the confirmed EDSS score ≥3 corresponding with our baseline visit. Patients who further developed 6-month confirmed disability progression (6mCDP) were classified as progressors. We further stratified our patients into active/nonactive based on new brain/spinal cord lesions or relapses in the 2 years before baseline or during follow-up. Statistical analysis on log-transformed sGFAP/sNfL assessed the baseline association with demographic, clinical, and MRI features and associations with future disability.ResultsWe included 257 patients with MS who had an average EDSS score of 4.0 and a median follow-up after baseline of 7.6 years. sNfL was higher in patients with disease activity in the 2 years before baseline (adjusted β = 1.21; 95% CI 1.04–1.42;p= 0.016), during the first 2 years of follow-up (adjusted β = 1.17; 95% CI = 1.01–1.36;p= 0.042). sGFAP was not increased in the presence of disease activity. Higher sGFAP levels, but not sNfL levels, were associated with higher risk of 6mCDP (adjusted hazard ratio [HR] = 1.71; 95% CI = 1.19–2.45;p= 0.004). The association was stronger in patients with low sNfL (adjusted HR = 2.44; 95% CI 1.32–4.52;p= 0.005) and patients who were nonactive in the 2 years prior or after the sample.DiscussionHigher levels of sGFAP correlated with subsequent progression, particularly in nonactive patients, whereas sNfL reflected acute disease activity in patients with MS at high risk of underlying progressive pathology. Thus, sGFAP and sNfL levels may be used to stratify patients with progressive MS for clinical research studies and clinical trials and may inform clinical care.
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Rotstein D, Solomon JM, Sormani MP, Montalban X, Ye XY, Dababneh D, Muccilli A, Saab G, Shah P. Association of NEDA-4 With No Long-term Disability Progression in Multiple Sclerosis and Comparison With NEDA-3: A Systematic Review and Meta-analysis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2022; 9:9/6/e200032. [PMID: 36224046 PMCID: PMC9558627 DOI: 10.1212/nxi.0000000000200032] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/02/2022] [Indexed: 11/06/2022]
Abstract
Background and Objectives No evidence of disease activity (NEDA)-4 has been suggested as a treatment target for disease-modifying therapy (DMT) in relapsing-remitting multiple sclerosis (RRMS). However, the ability of NEDA-4 to discriminate long-term outcomes in MS and how its performance compares with NEDA-3 remain uncertain. We conducted a systematic review and meta-analysis to evaluate (1) the association between NEDA-4 and no long-term disability progression in MS and (2) the comparative performance of NEDA-3 and NEDA-4 in predicting no long-term disability progression. Methods English-language abstracts and manuscripts were systematically searched in MEDLINE, Embase, and the Cochrane databases from January 2006 to November 2021 and reviewed independently by 2 investigators. We selected studies that assessed NEDA-4 at 1 or 2 years after DMT start and had at least 4 years of follow-up for determination of no confirmed disability progression. We conducted a meta-analysis using random-effects model to determine the pooled odds ratio (OR) for no disability progression with NEDA-4 vs EDA-4. For the comparative analysis, we selected studies that evaluated both NEDA-3 and NEDA-4 with at least 4 years of follow-up and examined the difference in the association of NEDA-3 and NEDA-4 with no disability progression. Results Five studies of 1,000 patients (3 interferon beta and 2 fingolimod) met inclusion criteria for both objectives. The median duration of follow-up was 6 years (interquartile range: 4–6 years). The prevalence of NEDA-4 ranged from 4.2% to 13.9% on interferon beta therapy and 24.9% to 25.1% on fingolimod therapy. The pooled OR for no long-term confirmed disability progression with NEDA-4 vs EDA-4 was 2.14 (95% confidence interval: 1.36–3.37; I2 = 0). We did not observe any significant difference between NEDA-4 and NEDA-3 in the comparative analyses. Discussion In patients with RRMS, NEDA-4 at 1–2 years was associated with 2 times higher odds of no long-term disability progression, at 6 years compared with EDA-4, but offered no advantage over NEDA-3.
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Affiliation(s)
- Dalia Rotstein
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada.
| | - Jacqueline M Solomon
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Maria Pia Sormani
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Xavier Montalban
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Xiang Y Ye
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Dina Dababneh
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Alexandra Muccilli
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Georges Saab
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
| | - Prakesh Shah
- From the Department of Medicine, (D.R., A.M., G.S.), University of Toronto, Ontario, Canada; St. Michael's Hospital (D.R., A.M., G.S.), Toronto, Ontario, Canada; Department of Medicine, (J.M.S.), McMaster University, Hamilton, Ontario, Canada; Department of Health Sciences (M.P.S.), Section of Biostatistics, University of Genova, Italy; IRCCS Ospedale Policlinico San Martino (M.P.S.), Genova, Italy; Department of Neurology and Cemcat (X.M.), Hospital Universitari Vall d'Hebron, Universitat Autonoma de Barcelona, Barcelona; Department of Pediatrics (X.Y.Y., P.S.), Mount Sinai Hospital, Toronto, Canada; Columbia University Irving Medical Center (D.D.), Department of Neurology, New York City; York Presbyterian Hospital (NYP) (D.D.), New York City; and Institute of Health (P.S.), Policy, Management and Evaluation, University of Toronto, Canada
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Fitzgerald KC, Sotirchos ES, Smith MD, Lord HN, DuVal A, Mowry EM, Calabresi PA. Contributors to Serum NfL Levels in People without Neurologic Disease. Ann Neurol 2022; 92:688-698. [PMID: 35730070 PMCID: PMC9489658 DOI: 10.1002/ana.26446] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/13/2022] [Accepted: 06/16/2022] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To assess the effects of demographics, lifestyle factors, and comorbidities on serum neurofilament light chain (sNfL) levels in people without neurologic disease and establish demographic-specific reference ranges of sNfL. METHODS The National Health and Nutrition Examination Survey (NHANES) is a representative sample of the US population in which detailed information on demographic, lifestyle, routine laboratory tests, and overall health status are systematically collected. From stored serum samples, we measured sNfL levels using a novel high-throughput immunoassay (Siemens Healthineers). We evaluated the predictive capacity of 52 demographic, lifestyle, comorbidity, anthropometric, or laboratory characteristics in explaining variability in sNfL levels. Predictive performance was assessed using cross-validated R2 (R2 cv ) and forward selection was used to obtain a set of best predictors of sNfL levels. Adjusted reference ranges were derived incorporating characteristics using generalized additive models for location, scale, and shape. RESULTS We included 1,706 NHANES participants (average age: 43.6 ± 14.8 y; 50.6% male, 35% non-white) without neurological disorders. In univariate models, age explained the most variability in sNfL (R2 cv = 26.8%). Multivariable prediction models for sNfL contained three covariates (in order of their selection): age, creatinine, and glycosylated hemoglobin (HbA1c) (standardized β-age: 0.46, 95% confidence interval [CI]: 0.43, 0.50; creatinine: 0.18, 95% CI: 0.13, 0.22; HbA1c: 0.09, 95% CI: 0.06, 0.11). Adjusted centile curves were derived incorporating identified predictors. We provide an interactive R Shiny application to translate our findings and allow other investigators to use the derived centile curves. INTERPRETATION Results will help to guide interpretation of sNfL levels as they relate to neurologic conditions. ANN NEUROL 2022;92:688-698.
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Affiliation(s)
- Kathryn C Fitzgerald
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Elias S Sotirchos
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Matthew D Smith
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Hannah-Noelle Lord
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Anna DuVal
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Ellen M Mowry
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
| | - Peter A Calabresi
- Division of Neuroimmunology and Neurological Infections, Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
- Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland, USA
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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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8
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Ziemssen T, Arnold DL, Alvarez E, Cross AH, Willi R, Li B, Kukkaro P, Kropshofer H, Ramanathan K, Merschhemke M, Kieseier B, Su W, Häring DA, Hauser SL, Kappos L, Kuhle J. Prognostic Value of Serum Neurofilament Light Chain for Disease Activity and Worsening in Patients With Relapsing Multiple Sclerosis: Results From the Phase 3 ASCLEPIOS I and II Trials. Front Immunol 2022; 13:852563. [PMID: 35432382 PMCID: PMC9009385 DOI: 10.3389/fimmu.2022.852563] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2022] [Accepted: 03/07/2022] [Indexed: 11/27/2022] Open
Abstract
Objective This study aims to confirm the prognostic value of baseline serum neurofilament light chain (sNfL) for on-study disease activity and worsening in patients with relapsing MS (RMS). Background Previous post-hoc studies suggested that sNfL could be a prognostic biomarker in RMS. In the phase 3 ASCLEPIOS I/II trials in which ofatumumab demonstrated better efficacy outcomes than teriflunomide, treatment with ofatumumab also led to significantly reduced sNfL levels compared to teriflunomide treatment. Design/Methods In this study, we report protocol-planned analyses from the pooled ASCLEPIOS I/II trials (N=1882). Per protocol, patients were stratified by median baseline sNfL levels (9.3 pg/ml) into high (>median) and low (≤median) categories to prognosticate: annualized rate of new/enlarging T2 (neT2) lesions in year 1 and 2, annualized relapse rate, annual percentage change in whole brain (WB) and regional brain volume [thalamus, white matter (WM), cortical gray matter (cGM)], and disability outcomes. Similar analyses were performed for the recently diagnosed (within 3 years), treatment-naive patients (no prior disease-modifying therapy) subgroup. Results High versus low sNfL at baseline was prognostic of increased on-study T2 lesion formation at year 1 (relative increase: ofatumumab +158%; teriflunomide +69%, both p<0.001), which persisted in year 2 (+65%, p=0.124; +46%, p=0.003); of higher annual percentage change of WB volume (ofatumumab, −0.32% vs. −0.24%, p=0.044, and teriflunomide, −0.43% vs. −0.29%, p=0.002), thalamic volume (−0.56% vs. −0.31%, p=0.047 and −0.94% vs. −0.49%, p<0.001), and WM volume (−0.30% vs. −0.19%, p=0.083 and −0.38% vs. −0.18%, p=0.003) but not of cGM volume (−0.39% vs. −0.32%, p=0.337 and −0.49% vs. −0.46%, p=0.563). A single sNfL assessment at baseline was not prognostic for on-study relapses or disability worsening. Results were similar in the subgroup of recently diagnosed, treatment-naive patients. Conclusion This study confirms that baseline sNfL levels are prognostic of future on-study lesion formation and whole brain and regional atrophy in all RMS patients, including recently diagnosed, treatment-naive patients.
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Affiliation(s)
- Tjalf Ziemssen
- Center of Clinical Neuroscience, Department of Neurology, University Clinic Carl-Gustav Carus, Dresden, Germany
- *Correspondence: Tjalf Ziemssen,
| | - Douglas L. Arnold
- Brain Imaging Centre, Montreal Neurological Institute and Hospital, McGill University, Montreal, QC, Canada
- NeuroRx Research, Montreal, QC, Canada
| | - Enrique Alvarez
- Department of Neurology, Rocky Mountain MS Center at the University of Colorado, Aurora, CO, United States
| | - Anne H. Cross
- Department of Neurology, Washington University School of Medicine, Saint Louis, MO, United States
| | | | - Bingbing Li
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States
| | | | | | | | | | | | - Wendy Su
- Novartis Pharmaceuticals Corporation, East Hanover, NJ, United States
| | | | - Stephen L. Hauser
- UCSF Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, San Francisco, CA, United States
| | - Ludwig Kappos
- Neurologic Clinic and Policlinic and MS Center, Department of Head, Spine and Neuromedicine, University Hospital Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
| | - Jens Kuhle
- Neurologic Clinic and Policlinic and MS Center, Department of Head, Spine and Neuromedicine, University Hospital Basel, Basel, Switzerland
- Research Center for Clinical Neuroimmunology and Neuroscience (RC2NB), Departments of Biomedicine and Clinical Research, University Hospital and University of Basel, Basel, Switzerland
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9
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van Lierop ZYGJ, Verberk IMW, van Uffelen KWJ, Koel-Simmelink MJA, In 't Veld L, Killestein J, Teunissen CE. Pre-analytical stability of serum biomarkers for neurological disease: neurofilament-light, glial fibrillary acidic protein and contactin-1. Clin Chem Lab Med 2022; 60:842-850. [PMID: 35333481 DOI: 10.1515/cclm-2022-0007] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 03/01/2022] [Indexed: 12/24/2022]
Abstract
OBJECTIVES Neurofilament-light (NfL), glial fibrillary acidic protein (GFAP) and contactin-1 (CNTN1) are blood-based biomarkers that could contribute to monitoring and prediction of disease and treatment outcomes in neurological diseases. Pre-analytical sample handling might affect results, which could be disease-dependent. We tested common handling variations in serum of volunteers as well as in a defined group of patients with multiple sclerosis (pwMS). METHODS Sample sets from 5 pwMS and 5 volunteers at the outpatient clinic were collected per experiment. We investigated the effect of the following variables: collection tube type, delayed centrifugation, centrifugation temperature, delayed storage after centrifugation and freeze-thawing. NfL and GFAP were measured by Simoa and CNTN1 by Luminex. A median recovery of 90-110% was considered stable. RESULTS For most pre-analytical variables, serum NfL and CNTN1 levels remained unaffected. In the total group, NfL levels increased (121%) after 6 h of delay at 2-8 °C until centrifugation, while no significant changes were observed after 24 h delay at room temperature (RT). In pwMS specifically, CNTN1 levels increased from additional freeze-thaw cycles number 2 to 4 (111%-141%), whereas volunteer levels remained stable. GFAP showed good stability for all pre-analytical variables. CONCLUSIONS Overall, the serum biomarkers tested were relatively unaffected by variations in sample handling. For serum NfL, we recommend storage at RT before centrifugation at 2-8 °C up to 6 h or at RT up to 24 h. For serum CNTN1, we advise a maximum of two freeze-thaw cycles. Our results confirm and expand on recently launched consensus standardized operating procedures.
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Affiliation(s)
- Zoë Y G J van Lierop
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Inge M W Verberk
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Kees W J van Uffelen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Marleen J A Koel-Simmelink
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | | | - Joep Killestein
- MS Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Amsterdam Neuroscience, Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands
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Frascoli F, Roos I, Malpas CB, Kalincik T. The dynamics of relapses during treatment switch in relapsing-remitting multiple sclerosis. J Theor Biol 2022; 541:111091. [DOI: 10.1016/j.jtbi.2022.111091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2021] [Revised: 02/13/2022] [Accepted: 03/04/2022] [Indexed: 11/28/2022]
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