Clinical Outcome Assessments and Biomarkers in Charcot-Marie-Tooth Disease
Brett A McCray1, Vera Fridman1
1From the Department of Neurology (B.A.M.), University of Michigan Medical School, Ann Arbor; and Department of Neurology (V.F.), University of Colorado Anschutz Medical Campus, Aurora.
Abstract:
Charcot-Marie-Tooth disease (CMT) encompasses a diverse group of genetic forms of inherited peripheral neuropathy and stands as the most common hereditary neurologic disease worldwide. At present, no disease-modifying treatments exist for any form of CMT. However, promising therapeutic strategies are rapidly emerging, necessitating careful consideration of clinical outcome assessments (COAs) and clinical trial design. In this review, we discuss the challenges and successes over the past 2 decades in efforts to design and validate COAs and disease biomarkers of CMT. Natural history studies and completed clinical trials have underscored the limitations of early clinical scales for CMT, including the neuropathy impairment score, overall neuropathy limitation scale, and CMT neuropathy score. These studies prompted the development of newer, psychometrically supported scales including the CMT neuropathy score version 2, CMT pediatric scale, CMT infant scale, CMT functional outcome measure, and CMT health index. Although promising, many of these scales have yet to be formally tested in longitudinal studies. Given inherent challenges of relying solely on COAs in slowly progressive forms of CMT, there is growing recognition of the need for objective disease biomarkers that could serve as surrogate end points in clinical trials. Among these, MRI muscle fat fraction in the lower extremities has proven the most responsive biomarker to date, although its relationship to functional outcomes and its performance in treatment trials remain uncertain. Serum biomarkers including neurofilament light, transmembrane protease serine 5, specific microRNAs, neural cell adhesion molecule 1, and growth and differentiation factor 15 reliably distinguish patients with CMT from controls, but their responsiveness to effective therapies also remains unknown. Although the optimal combination of outcome measures in CMT has yet to be established, many of the most promising COAs and biomarkers are now being put to the test in ongoing clinical trials. These early studies will also help address other critical clinical trial considerations, such as patient selection and enrollment targets, which will become increasingly important in this exciting new era of bringing the first disease-modifying treatments to people living with CMT.
Insights
Charcot-Marie-Tooth disease (CMT) research is advancing, focusing on new clinical outcome assessments (COAs) and biomarkers to track disease progression and evaluate treatments for this common inherited neuropathy.
Area of Science:
- Neurology
- Genetics
- Clinical Trials
Background:
- Charcot-Marie-Tooth disease (CMT) is the most common hereditary neuropathy, with no current disease-modifying treatments.
- Developing effective treatments requires robust clinical outcome assessments (COAs) and biomarkers.
Purpose of the Study:
- To review the challenges and successes in developing and validating COAs and biomarkers for CMT over the past two decades.
- To highlight the evolution of outcome measures and the growing need for objective biomarkers in CMT clinical trials.
Main Methods:
- Review of natural history studies and completed clinical trials in CMT.
- Analysis of limitations of early clinical scales and the development of newer, psychometrically supported scales.
- Evaluation of emerging objective biomarkers, including MRI muscle fat fraction and serum markers.
Main Results:
- Early CMT scales showed limitations; newer scales like CMT neuropathy score version 2 and CMT pediatric scale have been developed.
- MRI muscle fat fraction is a responsive biomarker, but its functional correlation needs further study.
- Serum biomarkers like neurofilament light reliably distinguish CMT patients but require validation for treatment responsiveness.
Conclusions:
- Ongoing clinical trials are testing promising COAs and biomarkers for CMT.
- Establishing optimal combinations of outcome measures and biomarkers is crucial for advancing CMT therapeutics.
- Addressing patient selection and enrollment is vital for the success of upcoming disease-modifying treatment trials in CMT.
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