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Giarraputo J, Giamberardino S, Arvai S, Maichle S, Eckstein C, Newby LK, Gregory S. Profiling serum neurofilament light chain and glial fibrillary acidic protein in primary progressive multiple sclerosis. J Neuroimmunol 2021; 354:577541. [PMID: 33725477 DOI: 10.1016/j.jneuroim.2021.577541] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 02/16/2021] [Accepted: 03/03/2021] [Indexed: 11/15/2022]
Abstract
This study examined the utility of serum neurofilament light chain (sNfL) and glial fibrillary acidic protein (sGFAP) as biomarkers in primary progressive multiple sclerosis in context with clinical severity, progression, and treatment. Using a single-molecule array (Quanterix), serum protein concentrations were measured from twenty-five participants semiannually for five years. There was no association between levels of either biomarker and disease severity, disease duration, or treatment group. Enrollment sNfL level was not associated with future clinical worsening. Precedent clinical worsening was not associated with last sGFAP measurement. These results suggest a limited role for these biomarkers in primary progressive disease management.
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Affiliation(s)
- James Giarraputo
- Duke University School of Medicine, Duke University, DUMC 3710, Durham, NC 27710, United States; Duke Molecular Physiology Institute, Duke University, 300 N. Duke St, Durham, NC 27701, United States.
| | - Stephanie Giamberardino
- Duke Molecular Physiology Institute, Duke University, 300 N. Duke St, Durham, NC 27701, United States.
| | - Stephanie Arvai
- Duke Molecular Physiology Institute, Duke University, 300 N. Duke St, Durham, NC 27701, United States.
| | - Sarah Maichle
- Duke Clinical & Translational Science Institute, Duke University, 701 W. Main St. Ste.500, Durham, NC 27701, United States.
| | - Christopher Eckstein
- Duke University School of Medicine, Duke University, DUMC 3710, Durham, NC 27710, United States; Duke Department of Neurology, Duke University Health System, 3116 N. Duke St, Durham, NC 27704, United States.
| | - L Kristin Newby
- Division of Cardiovascular Medicine, Duke Clinical Research Institute, Duke University Medical Center, 300 W. Morgan St, Durham, NC 27701, United States.
| | - Simon Gregory
- Duke University School of Medicine, Duke University, DUMC 3710, Durham, NC 27710, United States; Duke Molecular Physiology Institute, Duke University, 300 N. Duke St, Durham, NC 27701, United States; Duke Department of Neurology, Duke University Health System, 3116 N. Duke St, Durham, NC 27704, United States.
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Simrén J, Ashton NJ, Blennow K, Zetterberg H. Blood neurofilament light in remote settings: Alternative protocols to support sample collection in challenging pre-analytical conditions. ALZHEIMER'S & DEMENTIA (AMSTERDAM, NETHERLANDS) 2021; 13:e12145. [PMID: 33665338 PMCID: PMC7896630 DOI: 10.1002/dad2.12145] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/19/2020] [Accepted: 12/02/2020] [Indexed: 12/11/2022]
Abstract
INTRODUCTION This study investigated alternative pre-analytical handling of blood for neurofilament light (NfL) analysis where resources are limited. METHOD Plasma NfL was measured with single molecule array after alternative blood processing procedures: dried plasma spots (DPS), dried blood spots (DBS), and delayed 48-hour centrifugation. These were compared to standardized plasma processing (reference standard [RS]). In a discovery cohort (n = 10) and a confirmatory cohort (n = 21), whole blood was obtained from individuals with unknown clinical etiology. In the confirmatory cohort, delayed centrifugation protocol was paired with either 37°C incubation or sample shaking to test the effect of these parameters. RESULTS Delayed centrifugation (R2 = 0.991) and DPS (discovery cohort, R2 = 0.954; confirmatory cohort, DPS: R2 = 0.961) methods were strongly associated with the RS. Delayed centrifugation with higher temperatures (R2 = 0.995) and shaking (R2 = 0.975) did not affect this association. DPS (P < 0.001) returned concentrations considerably lower than the RS. DISCUSSION DPS or delayed centrifugation are viable pre-analytical procedures for the accurate quantification of plasma NfL.
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Affiliation(s)
- Joel Simrén
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Nicholas J. Ashton
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Wallenberg Centre for Molecular and Translational MedicineUniversity of GothenburgGothenburgSweden
- King's College London, Institute of Psychiatry, Psychology and NeuroscienceMaurice Wohl Institute Clinical Neuroscience InstituteLondonUK
- NIHR Biomedical Research Centre for Mental Health and Biomedical Research Unit for Dementia at South London and Maudsley NHS FoundationLondonUK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska AcademyUniversity of GothenburgMölndalSweden
- Clinical Neurochemistry LaboratorySahlgrenska University HospitalMölndalSweden
- UK Dementia Research Institute at UCLLondonUK
- Department of Neurodegenerative DiseaseUCL Institute of NeurologyQueen SquareLondonUK
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53
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Momtazmanesh S, Shobeiri P, Saghazadeh A, Teunissen CE, Burman J, Szalardy L, Klivenyi P, Bartos A, Fernandes A, Rezaei N. Neuronal and glial CSF biomarkers in multiple sclerosis: a systematic review and meta-analysis. Rev Neurosci 2021; 32:573-595. [PMID: 33594840 DOI: 10.1515/revneuro-2020-0145] [Citation(s) in RCA: 45] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Accepted: 01/15/2021] [Indexed: 12/29/2022]
Abstract
Multiple sclerosis (MS) is a neurodegenerative disease associated with inflammatory demyelination and astroglial activation, with neuronal and axonal damage as the leading factors of disability. We aimed to perform a meta-analysis to determine changes in CSF levels of neuronal and glial biomarkers, including neurofilament light chain (NFL), total tau (t-tau), chitinase-3-like protein 1 (CHI3L1), glial fibrillary acidic protein (GFAP), and S100B in various groups of MS (MS versus controls, clinically isolated syndrome (CIS) versus controls, CIS versus MS, relapsing-remitting MS (RRMS) versus progressive MS (PMS), and MS in relapse versus remission. According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses, we included 64 articles in the meta-analysis, including 4071 subjects. For investigation of sources of heterogeneity, subgroup analysis, meta-regression, and sensitivity analysis were conducted. Meta-analyses were performed for comparisons including at least three individual datasets. NFL, GFAP, t-tau, CHI3L1, and S100B were higher in MS and NFL, t-tau, and CHI3L1 were also elevated in CIS patients than controls. CHI3L1 was the only marker with higher levels in MS than CIS. GFAP levels were higher in PMS versus RRMS, and NFL, t-tau, and CHI3L1 did not differ between different subtypes. Only levels of NFL were higher in patients in relapse than remission. Meta-regression showed influence of sex and disease severity on NFL and t-tau levels, respectively and disease duration on both. Added to the role of these biomarkers in determining prognosis and treatment response, to conclude, they may serve in diagnosis of MS and distinguishing different subtypes.
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Affiliation(s)
- Sara Momtazmanesh
- School of Medicine, Tehran University of Medical Sciences (TUMS), Children's Medical Center Hospital, Dr. Qarib St., Keshavarz Blvd, Tehran14194, Iran.,Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Parnian Shobeiri
- School of Medicine, Tehran University of Medical Sciences (TUMS), Children's Medical Center Hospital, Dr. Qarib St., Keshavarz Blvd, Tehran14194, Iran.,Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran
| | - Amene Saghazadeh
- Systematic Review and Meta-Analysis Expert Group (SRMEG), Universal Scientific Education and Research Network (USERN), Tehran, Iran.,Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran
| | - Charlotte E Teunissen
- Neurochemistry Laboratory, Department of Clinical Chemistry, Location VUmc, PK 2 BR 141, Boelelaan 1117, 1081 HV, Amsterdam, The Netherlands
| | - Joachim Burman
- Department of Neuroscience, Uppsala University Hospital, 75185Uppsala, Sweden
| | - Levente Szalardy
- Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Semmelweis u. 6, 6725Szeged, Hungary
| | - Peter Klivenyi
- Department of Neurology, Faculty of Medicine, Albert Szent-Györgyi Clinical Center, University of Szeged, Semmelweis u. 6, 6725Szeged, Hungary
| | - Ales Bartos
- Department of Neurology, Third Faculty of Medicine, Charles University, Ruska 87, 100 00Prague 10, Czech Republic
| | - Adelaide Fernandes
- Department of Pharmacological Sciences and Medicines, Faculty of Pharmacy, Universidade de Lisboa, Avenida Professor Gama Pinto, 1649-003Lisbon, Portugal
| | - Nima Rezaei
- Research Center for Immunodeficiencies, Pediatrics Center of Excellence, Children's Medical Center, Tehran University of Medical Sciences, Tehran, Iran.,Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.,Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran
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Dangond F, Donnelly A, Hohlfeld R, Lubetzki C, Kohlhaas S, Leocani L, Ciccarelli O, Stankoff B, Sormani MP, Chataway J, Bozzoli F, Cucca F, Melton L, Coetzee T, Salvetti M. Facing the urgency of therapies for progressive MS - a Progressive MS Alliance proposal. Nat Rev Neurol 2021; 17:185-192. [PMID: 33483719 DOI: 10.1038/s41582-020-00446-9] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/07/2020] [Indexed: 12/20/2022]
Abstract
Therapies for infiltrative inflammation in multiple sclerosis (MS) have advanced greatly, but neurodegeneration and compartmentalized inflammation remain virtually untargeted as in other diseases of the nervous system. Consequently, many therapies are available for the relapsing-remitting form of MS, but the progressive forms remain essentially untreated. The objective of the International Progressive MS Alliance is to expedite the development of effective therapies for progressive MS through new initiatives that foster innovative thinking and concrete advancements. Based on these principles, the Alliance is developing a new funding programme that will focus on experimental medicine trials. Here, we discuss the reasons behind the focus on experimental medicine trials, the strengths and weaknesses of these approaches and of the programme, and why we hope to advance therapies while improving the understanding of progression in MS. We are soliciting public and academic feedback, which will help shape the programme and future strategies of the Alliance.
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Affiliation(s)
| | - Alexis Donnelly
- Department of Computer Science, O'Reilly Institute, Trinity College, Dublin, Ireland
| | - Reinhard Hohlfeld
- Institute of Clinical Neuroimmunology, Biomedical Center and Hospital of the Ludwig Maximilians Universität München, Munich, Germany.,Munich Cluster for Systems Neurology (Synergy), Munich, Germany
| | - Catherine Lubetzki
- Neurology Department, Sorbonne University, Pitié-Salpêtrière Hospital, Paris, France
| | | | - Letizia Leocani
- Vita-Salute San Raffaele University, Milan, Italy.,Neurorehabilitation Department and Experimental Neurophysiology Unit, INSPE, Scientific Institute Hospital San Raffaele, Milan, Italy
| | - Olga Ciccarelli
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL 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
| | - Bruno Stankoff
- Sorbonne University, Brain and Spine Institute, ICM, Pitié-Salpêtrière Hospital, Paris, France
| | - Maria Pia Sormani
- Department of Health Sciences (DISSAL), University of Genova, Genova, Italy.,IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - Jeremy Chataway
- Queen Square Multiple Sclerosis Centre, Department of Neuroinflammation, UCL 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
| | | | - Francesco Cucca
- Dipartimento di Scienze Biomediche, Università di Sassari, Sassari, Italy
| | - Lisa Melton
- MS Research Australia, North Sydney, New South Wales, Australia
| | | | - Marco Salvetti
- Department of Neurosciences, Mental Health and Sensory Organs, Centre for Experimental Neurological Therapies (CENTERS), Faculty of Medicine and Psychology, Sapienza University, Rome, Italy. .,IRCCS Istituto Neurologico Mediterraneo (INM) Neuromed, Pozzilli, Italy.
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Berger T, Adamczyk-Sowa M, Csépány T, Fazekas F, Fabjan TH, Horáková D, Ledinek AH, Illes Z, Kobelt G, Jazbec SŠ, Klímová E, Leutmezer F, Rejdak K, Rozsa C, Sellner J, Selmaj K, Štouracˇ P, Szilasiová J, Turcˇáni P, Vachová M, Vanecková M, Vécsei L, Havrdová EK. Factors influencing daily treatment choices in multiple sclerosis: practice guidelines, biomarkers and burden of disease. Ther Adv Neurol Disord 2020; 13:1756286420975223. [PMID: 33335562 PMCID: PMC7724259 DOI: 10.1177/1756286420975223] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Accepted: 10/23/2020] [Indexed: 12/23/2022] Open
Abstract
At two meetings of a Central European board of multiple sclerosis (MS) experts in
2018 and 2019 factors influencing daily treatment choices in MS, especially
practice guidelines, biomarkers and burden of disease, were discussed. The
heterogeneity of MS and the complexity of the available treatment options call
for informed treatment choices. However, evidence from clinical trials is
generally lacking, particularly regarding sequencing, switches and escalation of
drugs. Also, there is a need to identify patients who require highly efficacious
treatment from the onset of their disease to prevent deterioration. The recently
published European Committee for the Treatment and Research in Multiple
Sclerosis/European Academy of Neurology clinical practice guidelines on
pharmacological management of MS cover aspects such as treatment efficacy,
response criteria, strategies to address suboptimal response and safety concerns
and are based on expert consensus statements. However, the recommendations
constitute an excellent framework that should be adapted to local regulations,
MS center capacities and infrastructure. Further, available and emerging
biomarkers for treatment guidance were discussed. Magnetic resonance imaging
parameters are deemed most reliable at present, even though complex assessment
including clinical evaluation and laboratory parameters besides imaging is
necessary in clinical routine. Neurofilament-light chain levels appear to
represent the current most promising non-imaging biomarker. Other immunological
data, including issues of immunosenescence, will play an increasingly important
role for future treatment algorithms. Cognitive impairment has been recognized
as a major contribution to MS disease burden. Regular evaluation of cognitive
function is recommended in MS patients, although no specific disease-modifying
treatment has been defined to date. Finally, systematic documentation of
real-life data is recognized as a great opportunity to tackle unresolved daily
routine challenges, such as use of sequential therapies, but requires joint
efforts across clinics, governments and pharmaceutical companies.
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Affiliation(s)
- Thomas Berger
- Department of Neurology, Medical University of Vienna, Waehringer Guertel 18-20, Vienna 1090, Austria
| | - Monika Adamczyk-Sowa
- Department of Neurology, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Poland
| | - Tünde Csépány
- Department of Neurology, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
| | - Franz Fazekas
- Department of Neurology, Medical University of Graz, Graz, Austria
| | - Tanja Hojs Fabjan
- Department of Neurology, University Medical Centre Maribor, Maribor, Slovenia
| | - Dana Horáková
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | | | - Zsolt Illes
- Department of Neurology, University of Southern Denmark, Odense, Denmark
| | | | - Saša Šega Jazbec
- Department of Neurology, University Clinical Centre Ljubljana, Ljubljana, Slovenia
| | - Eleonóra Klímová
- Department of Neurology, University of Prešov and Teaching Hospital of J. A. Reiman, Prešov, Slovakia
| | - Fritz Leutmezer
- Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Konrad Rejdak
- Department of Neurology, Medical University of Lublin, Lublin, Poland
| | - Csilla Rozsa
- Department of Neurology, Jahn Ferenc Dél-pesti Hospital, Budapest, Hungary
| | - Johann Sellner
- Department of Neurology, Landesklinikum Mistelbach-Gänserndorf, Mistelbach, Austria, and Department of Neurology, Christian Doppler Medical Center, Paracelsus Medical University, Salzburg, Austria
| | - Krzysztof Selmaj
- Department of Neurology, University of Warmia-Mazury, Olsztyn, Poland
| | - Pavel Štouracˇ
- Department of Neurology, Masaryk University, Brno, Czech Republic
| | - Jarmila Szilasiová
- Department of Neurology, P. J. Šafárik University Košice and University Hospital of L. Pasteur Košice, Slovakia
| | - Peter Turcˇáni
- Department of Neurology, Comenius University, Bratislava, Slovakia
| | | | - Manuela Vanecková
- Department of Radiology, MRI Unit, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
| | - László Vécsei
- Department of Neurology and MTA-SZTE Neuroscience Research Group, University of Szeged, Szeged, Hungary
| | - Eva Kubala Havrdová
- Department of Neurology and Center of Clinical Neuroscience, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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