Mesoscale connections and gene expression empower whole-brain modeling of α-synuclein spread, aggregation, and decay dynamics.

Autor:	Dadgar-Kiani E; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA., Bieri G; Department of Genetics, Stanford University, Stanford, CA 94305, USA., Melki R; Institut François Jacob, MIRCen, CEA and Laboratory of Neurodegenerative Diseases, CNRS, 92265 Fontenay-Aux-Roses, France., Gitler AD; Department of Genetics, Stanford University, Stanford, CA 94305, USA; Chan Zuckerberg Biohub, San Francisco, CA 94158, USA. Electronic address: agitler@stanford.edu., Lee JH; Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA 94305, USA; Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA; Department of Neurosurgery, Stanford University, Stanford, CA 94305, USA. Electronic address: ljinhy@stanford.edu.
Jazyk:	angličtina
Zdroj:	Cell reports [Cell Rep] 2022 Nov 08; Vol. 41 (6), pp. 111631.
DOI:	10.1016/j.celrep.2022.111631
Abstrakt:	An emerging view regarding neurodegenerative diseases is that discreet seeding of misfolded proteins leads to widespread pathology. However, the mechanisms by which misfolded proteins seed distinct brain regions and cause differential whole-brain pathology remain elusive. We used whole-brain tissue clearing and high-resolution imaging to longitudinally map pathology in an α-synuclein pre-formed fibril injection model of Parkinson's disease. Cleared brains at different time points of disease progression were quantitatively segmented and registered to a standardized atlas, revealing distinct phases of spreading and decline. We then fit a computational model with parameters that represent α-synuclein pathology spreading, aggregation, decay, and gene expression pattern to this longitudinal dataset. Remarkably, our model can generalize to predicting α-synuclein spreading patterns from several distinct brain regions and can even estimate their origins. This model empowers mechanistic understanding and accurate prediction of disease progression, paving the way for the development and testing of therapeutic interventions. Competing Interests: Declaration of interests J.H.L. is a founder, consultant, and board member of LVIS. (Copyright © 2022. Published by Elsevier Inc.)
Databáze:	MEDLINE
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