Citations 29

Effect of Ezogabine on Cortical and Spinal Motor Neuron Excitability in Amyotrophic Lateral Sclerosis

JAMA Neurology | November 23, 2020 | Volume: 78 | Issue: 2 | Pages: 186

10.1001/jamaneurol.2020.4300 | PMID 33226425

Plasma neurofilament light predicts mortality in patients with stroke

Science Translational Medicine | November 12, 2020 | Volume: 12 | Issue: 569 | Pages: No page available

10.1126/scitranslmed.aay1913 | PMID 33177179

Plasma neurofilament light is a reliable, uniform marker to estimate neuroaxonal injury and forecast all-cause mortality across major stroke types.
Addressing heterogeneity in amyotrophic lateral sclerosis CLINICAL TRIALS

Muscle & Nerve | January 3, 2020 | Volume: 62 | Issue: 2 | Pages: 156-166

10.1002/mus.26801 | PMID 31899540

Abstract Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disorder with complex biology and significant clinical heterogeneity. Many preclinical and early phase ALS clinical trials have yielded promising results that could not be replicated in larger phase 3 confirmatory trials. One reason for the lack of reproducibility may be ALS biological and clinical heterogeneity. Therefore, in this review, we explore sources of ALS heterogeneity that may reduce statistical power to evaluate efficacy in ALS trials. We also review efforts to manage clinical heterogeneity, including use of validated disease outcome measures, predictive biomarkers of disease progression, and individual clinical risk stratification. We propose that personalized prognostic models with use of predictive biomarkers may identify patients with ALS for whom a specific therapeutic strategy may be expected to be more successful. Finally, the rapid application of emerging clinical and biomarker strategies may reduce heterogeneity, increase trial efficiency, and, in turn, accelerate ALS drug development.
NurOwn, phase 2, randomized, clinical trial in patients with ALS

Neurology | November 18, 2019 | Volume: 93 | Issue: 24 | Pages: No page available

10.1212/wnl.0000000000008620 | PMID 31740545

Revised Airlie House consensus guidelines for design and implementation of ALS clinical trials

Neurology | March 8, 2019 | Volume: 92 | Issue: 14 | Pages: No page available

10.1212/wnl.0000000000007242 | PMID 30850440

Phosphorylated neurofilament heavy chain: A biomarker of survival for C9ORF72‐associated amyotrophic lateral sclerosis

Annals of Neurology | June 19, 2017 | Volume: 82 | Issue: 1 | Pages: 139-146

10.1002/ana.24980 | PMID 28628244

As potential treatments for C9ORF72‐associated amyotrophic lateral sclerosis (c9ALS) approach clinical trials, the identification of prognostic biomarkers for c9ALS becomes a priority. We show that levels of phosphorylated neurofilament heavy chain (pNFH) in cerebrospinal fluid (CSF) predict disease status and survival in c9ALS patients, and are largely stable over time. Moreover, c9ALS patients exhibit higher pNFH levels, more rapid disease progression, and shorter survival after disease onset than ALS patients without C9ORF72 expansions. These data support the use of CSF pNFH as a prognostic biomarker for clinical trials, which will increase the likelihood of successfully developing a treatment for c9ALS. Ann Neurol 2017;82:139–146
Poly(GP) proteins are a useful pharmacodynamic marker for C9ORF72 -associated amyotrophic lateral sclerosis

Science Translational Medicine | March 29, 2017 | Volume: 9 | Issue: 383 | Pages: No page available

10.1126/scitranslmed.aai7866 | PMID 28356511

Poly(GP) proteins are a promising pharmacodynamic marker for developing and testing therapeutics for treating C9ORF72 -associated amyotrophic lateral sclerosis.
ALS biomarkers for therapy development: State of the field and future directions

Muscle & Nerve | November 17, 2015 | Volume: 53 | Issue: 2 | Pages: 169-182

10.1002/mus.24979 | PMID 26574709

Post-lumbar puncture headache is reduced with use of atraumatic needles in ALS

Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration | July 8, 2013 | Volume: 14 | Issue: 7-8 | Pages: 632-634

10.3109/21678421.2013.808227 | PMID 23834161