High content screening and proteomic analysis identify a kinase inhibitor that rescues pathological phenotypes in a patient-derived model of Parkinson's disease.
Nasia AntoniouKanella ProdromidouGeorgia KouroupiIoanna BoumpourekaMartina SamiotakiGeorge PanayotouMaria XilouriIsmini KloukinaLeonidas StefanisRegis GrailheEra TaoufikRebecca MatsasPublished in: NPJ Parkinson's disease (2022)
Combining high throughput screening approaches with induced pluripotent stem cell (iPSC)-based disease modeling represents a promising unbiased strategy to identify therapies for neurodegenerative disorders. Here we applied high content imaging on iPSC-derived neurons from patients with familial Parkinson's disease bearing the G209A (p.A53T) α-synuclein (αSyn) mutation and launched a screening campaign on a small kinase inhibitor library. We thus identified the multi-kinase inhibitor BX795 that at a single dose effectively restores disease-associated neurodegenerative phenotypes. Proteomics profiling mapped the molecular pathways underlying the protective effects of BX795, comprising a cohort of 118 protein-mediators of the core biological processes of RNA metabolism, protein synthesis, modification and clearance, and stress response, all linked to the mTORC1 signaling hub. In agreement, expression of human p.A53T-αSyn in neuronal cells affected key components of the mTORC1 pathway resulting in aberrant protein synthesis that was restored in the presence of BX795 with concurrent facilitation of autophagy. Taken together, we have identified a promising small molecule with neuroprotective actions as candidate therapeutic for PD and other protein conformational disorders.
Keyphrases
- small molecule
- stem cells
- endothelial cells
- poor prognosis
- mass spectrometry
- cell death
- high resolution
- oxidative stress
- spinal cord
- binding protein
- induced apoptosis
- induced pluripotent stem cells
- mouse model
- cell cycle arrest
- single cell
- mesenchymal stem cells
- spinal cord injury
- molecular dynamics
- bone marrow
- diabetic rats
- cell proliferation
- amino acid
- rectal cancer
- drug induced
- bioinformatics analysis