Identification of Sclareol As a Natural Neuroprotective Ca v 1.3-Antagonist Using Synthetic Parkinson-Mimetic Gene Circuits and Computer-Aided Drug Discovery.
Hui WangMingqi XieGiorgio RizziXin LiKelly TanMartin FusseneggerPublished in: Advanced science (Weinheim, Baden-Wurttemberg, Germany) (2022)
Parkinson's disease (PD) results from selective loss of substantia nigra dopaminergic (SNc DA) neurons, and is primarily caused by excessive activity-related Ca 2+ oscillations. Although L-type voltage-gated calcium channel blockers (CCBs) selectively inhibiting Ca v 1.3 are considered promising candidates for PD treatment, drug discovery is hampered by the lack of high-throughput screening technologies permitting isoform-specific assessment of Cav-antagonistic activities. Here, a synthetic-biology-inspired drug-discovery platform enables identification of PD-relevant drug candidates. By deflecting Cav-dependent activation of nuclear factor of activated T-cells (NFAT)-signaling to repression of reporter gene translation, they engineered a cell-based assay where reporter gene expression is activated by putative CCBs. By using this platform in combination with in silico virtual screening and a trained deep-learning neural network, sclareol is identified from a essential oils library as a structurally distinctive compound that can be used for PD pharmacotherapy. In vitro studies, biochemical assays and whole-cell patch-clamp recordings confirmed that sclareol inhibits Ca v 1.3 more strongly than Ca v 1.2 and decreases firing responses of SNc DA neurons. In a mouse model of PD, sclareol treatment reduced DA neuronal loss and protected striatal network dynamics as well as motor performance. Thus, sclareol appears to be a promising drug candidate for neuroprotection in PD patients.
Keyphrases
- drug discovery
- nuclear factor
- gene expression
- high throughput
- deep learning
- mouse model
- neural network
- protein kinase
- ejection fraction
- single cell
- emergency department
- spinal cord
- newly diagnosed
- toll like receptor
- copy number
- prognostic factors
- machine learning
- dna methylation
- working memory
- functional connectivity
- molecular docking
- weight loss
- bone marrow
- adverse drug
- resistance training
- electronic health record