R406 and its structural analogs reduce SNCA/α-synuclein levels via autophagic degradation
The presence of neuronal Lewy bodies mainly composed of SNCA/α-synuclein aggregations is a pathological feature of Parkinson disease (PD), whereas reducing SNCA protein levels may slow the progression of this disease. We hypothesized that compounds enhancing SNCA’s interaction with MAP1LC3/LC3 May increase its macroautophagic/autophagic degradation. Here, we conducted small molecule microarray (SMM)-based screening to identify such compounds and revealed that the compound R406 could decrease SNCA protein levels in an autophagy-dependent manner. We further validated the proposed mechanism, in which knockdown of essential gene <i>ATG5</i> for autophagy formation and using the autophagy inhibitor chloroquine (CQ) blocked the effect of R406. Additionally, R406 also reduced the levels of phosphorylated serine 129 of SNCA (p-S129-SNCA) in SNCA preformed fibrils (PFFs)-induced cellular models and rescued neuron degeneration. Importantly, we confirmed that R406 could alleviate PD-relevant disease phenotypes in human SNCA PFFs-induced cellular models and PD patient-derived organoid models. Taken together, we demonstrated the possibility of lowering SNCA levels by enhancing its autophagic degradation by compounds increasing SNCA-LC3 interactions. <b>Abbreviations</b>: ATTEC: autophagy-tethering compounds; BafA1: bafilomycin A<sub>1</sub>; BiFC: bimolecular fluorescence complementation; CQ: chloroquine; hMOs: human midbrain organoids; iPSC: induced pluripotent stem cells; MBP: maltose-binding protein; mHTT: mutant huntingtin; OI-RD: oblique-incidence reflectivity difference; PFFs: preformed fibrils; p-S129-SNCA: phosphorylated serine 129 of SNCA; PD: Parkinson disease; ROS: reactive oxygen species; siRNA: small interfering RNA; SMM: small molecule microarray; SNCA: synuclein alpha; SYK: spleen associated tyrosine kinase.
Publication Details
- Journal
- Figshare
- Published
- 2025-01-01
- DOI
- https://doi.org/10.6084/m9.figshare.28734449
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00