Evoked potentials as a translatable biomarker to track functional remyelination

Abstract

Enhancing remyelination is a key therapeutic strategy for demyelinating diseases such as multiple sclerosis. To achieve this goal, a central challenge is being able to quantitatively and longitudinally track functional remyelination, especially with translatable biomarkers that can be performed in both preclinical models and in the clinic. We developed the methodology to stably measure multi-modal sensory evoked potentials from the skull surface over the course of months in individual mice and applied it to a genetic mouse model of oligodendrocyte ablation and demyelination. We found that auditory and somatosensory evoked potential latencies reliably increased over time during the early phase of the model and recovered spontaneously and almost completely during a later phase. Histological examination supported the interpretation that the evoked potential latency changes dynamically reflect changes in CNS myelination. Specifically, we found reduction of myelination in corresponding brain regions at the time that sensory evoked potentials were maximally impacted. Importantly, we also found that myelination levels recovered when evoked potential latencies recovered. Other changes known to associate with demyelination were also observed at the time of delayed evoked potentials, including the emergence of white matter vacuoles and increased markers for activated microglia and macrophages; these changes also fully reversed by the time that evoked potentials recovered. Our results support the hypothesis that skull-surface recorded evoked potential latencies can dynamically track CNS myelination changes. The methods developed here allow for longitudinally tracking functional myelination changes in vivo in preclinical rodent models with a quantitative biomarker that can also be applied clinically and will facilitate translational development of CNS remyelinating therapies.