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Peer-reviewed journal article

Stochastic Misfolding Drives the Emergence of Distinct α-Synuclein Strains

Raphaella W. L. SoiD, Benedikt FriegiD, José D. Camino, Christopher Situ, Mark N Metri, Nicholas R. G. SilveriD, Le yao LiiD, Alison MaoiD, Erica StuartiD, G.F. SchroederiD, Joel C. WattsiD

Abstract

The existence of -synuclein conformational strains provides a potential explanation for the clinical and pathological differences among synucleinopathies such as Parkinsons disease and multiple system atrophy. However, how distinct -synuclein strains are formed in vivo remains unknown. Here, we examined whether unique strains of self-propagating -synuclein aggregates can arise within a consistent molecular environment. Unexpectedly, we observed conformational heterogeneity between individual preparations of -synuclein pre-formed fibrils (PFFs) generated by polymerizing recombinant wild-type or A53T-mutant human -synuclein under identical conditions. Moreover, we found that -synuclein aggregates formed spontaneously in the brains of a transgenic synucleinopathy mouse model were conformationally diverse, leading to the identification of three distinct disease subtypes. Propagation of putative PFF- and brain-derived -synuclein strains in mice initiated several distinct synucleinopathies, characterized by differences in disease onset times, cerebral -synuclein deposition patterns, and the conformational attributes of -synuclein aggregates. The conformational diversity of -synuclein aggregates across PFF preparations and between the brains of individual transgenic mice demonstrates that -synuclein can spontaneously form multiple self-propagating strains within an identical environment both in vitro and in vivo. This suggests that stochastic misfolding into distinct aggregate structures drives the emergence of -synuclein strains and implies that the intrinsic variability of common synucleinopathy research tools must be considered when designing and interpreting experiments.

PDFDOI

02 /Specification & Classification

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