Literature DB >> 29041870

Fluid biomarker and electrophysiological outcome measures for progressive MS trials.

Christian Barro1, Letizia Leocani2, David Leppert3, Giancarlo Comi2, Ludwig Kappos1, Jens Kuhle1.   

Abstract

Progressive multiple sclerosis (MS) is characterized by insidious clinical worsening that is difficult to accurately quantify and predict. Biofluid markers and electrophysiological measures are potential candidate outcome measures in clinical trials, allowing the quantification of nervous damage occurring in the disease. Neurofilaments are highly specific neuronal proteins. They may have come closest to such applications by their higher concentrations repeatedly demonstrated in cerebrospinal fluid (CSF) in all stages of MS, during relapses, their responsiveness to disease-modifying treatments in relapsing and progressive MS and their associations with measures of inflammatory and degenerative magnetic resonance imaging (MRI) outcomes. Digital single-molecule array (Simoa) technology improves accuracy of bioassays in the quantification of neurofilament light chain (NfL) in serum and plasma. NfL seems to mark a common final path of neuroaxonal injury independent of specific causal pathways. CSF and blood levels of NfL are highly correlated across various diseases including MS, suggesting that blood measurements may be useful in assessing response to treatment and predicting future disease activity. Other biomarkers like matrix metalloproteinases, chemokines, or neurotrophic factors have not been studied to a similar extent. Such measures, especially in blood, need further validation to enter the trial arena or clinical practice. The broadening armamentarium of highly sensitive assay technologies in the future may shed even more light on patient heterogeneity and mechanisms leading to disability in MS. Evoked potentials (EPs) are used in clinical practice to measure central conduction of central sensorimotor pathways. They correlate with and predict the severity of clinical involvement of their corresponding function. Their validation for use in multicenter studies is still lacking, with the exception of visual EPs. If further validated, EPs and fluid biomarkers would represent useful outcome measures for clinical trials, being related to specific mechanisms of the ongoing pathologic changes.

Entities:  

Keywords:  Multiple sclerosis; biomarkers; clinical trial; outcome measurements; progressive; treatment response

Mesh:

Substances:

Year:  2017        PMID: 29041870     DOI: 10.1177/1352458517732844

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  6 in total

1.  Evoked potentials as a biomarker of remyelination.

Authors:  Moones Heidari; Abigail B Radcliff; Gillian J McLellan; James N Ver Hoeve; Kore Chan; Julie A Kiland; Nicholas S Keuler; Benjamin K August; Dylan Sebo; Aaron S Field; Ian D Duncan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-16       Impact factor: 11.205

2.  Smartphone-derived keystroke dynamics are sensitive to relevant changes in multiple sclerosis.

Authors:  Ka-Hoo Lam; James Twose; Hannah McConchie; Giovanni Licitra; Kim Meijer; Lodewijk de Ruiter; Zoë van Lierop; Bastiaan Moraal; Frederik Barkhof; Bernard Uitdehaag; Vincent de Groot; Joep Killestein
Journal:  Eur J Neurol       Date:  2021-11-14       Impact factor: 6.288

3.  Neurofilament Light Chain: Blood Biomarker of Neonatal Neuronal Injury.

Authors:  Antoinette Depoorter; Roland P Neumann; Christian Barro; Urs Fisch; Peter Weber; Jens Kuhle; Sven Wellmann
Journal:  Front Neurol       Date:  2018-11-20       Impact factor: 4.003

Review 4.  The Cerebrospinal Fluid in Multiple Sclerosis.

Authors:  Florian Deisenhammer; Henrik Zetterberg; Brit Fitzner; Uwe K Zettl
Journal:  Front Immunol       Date:  2019-04-12       Impact factor: 7.561

Review 5.  Sphingosine 1-phosphate Receptor Modulator Therapy for Multiple Sclerosis: Differential Downstream Receptor Signalling and Clinical Profile Effects.

Authors:  Jerold Chun; Gavin Giovannoni; Samuel F Hunter
Journal:  Drugs       Date:  2021-02       Impact factor: 9.546

Review 6.  Detecting neurodegenerative pathology in multiple sclerosis before irreversible brain tissue loss sets in.

Authors:  Jeroen Van Schependom; Kaat Guldolf; Marie Béatrice D'hooghe; Guy Nagels; Miguel D'haeseleer
Journal:  Transl Neurodegener       Date:  2019-12-09       Impact factor: 8.014

  6 in total

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