bioRxivNeurosciencePreprint
A chemical screen identifies p38 MAPK inhibition as a candidate neuroprotective strategy for combinatorial SMA therapy
Maria Jose CarliniiD, Jorge Espinoza‐DeroutiD, Meaghan Van AlstyneiD, Sarah Tisdale, Eileen Workman, Marina K TriplettiD, Ivan TattoliiD, Shubhi Yadav, Christopher E. HendersoniD, Daniel Martin WattersoniD, Livio PellizzoniiD
- Citations
- 1
Abstract
Spinal muscular atrophy (SMA) is a neurodegenerative disease caused by ubiquitous deficiency in the survival motor neuron (SMN) protein. The identification of effectors and modifiers of pathogenic events downstream of SMN deficiency is key to understanding disease mechanisms and broadening the range of targets for developing SMA therapies that can complement SMN upregulation. Here, we report a cell-based phenotypic screen for chemical modifiers of SMN biology that identified inhibitors of p38 mitogen-activated protein kinase (p38 MAPK) as suppressors of proliferation defects induced by SMN deficiency in mouse fibroblasts. We further show that SMN deficiency induces p38 MAPK activation and that pharmacological inhibition of this pathway improves motor function in SMA mice through SMN-independent neuroprotective effects. Using a highly optimized p38 MAPK inhibitor (MW150) and a specific paradigm of combinatorial treatment in SMA mice, we observed synergistic enhancement of the phenotypic benefit induced by either MW150 or an SMN-inducing drug alone. By promoting survival of motor neurons, pharmacological inhibition of p38 MAPK synergizes with SMN induction and enables enhanced synaptic rewiring of motor neurons within sensory-motor spinal circuits, resulting in increased motor function, weight gain, and survival of SMA mice. Together, our studies identify the p38 MAPK pathway as a therapeutic target and MW150 as a candidate pharmacological approach for SMN-independent neuroprotection with clinical relevance for combination therapy in SMA.
- organism: mouse
- research focus: drug response / drug discovery
- research focus: perturbation response prediction
- approach: experimental assay
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