Interneuronal In Vivo Transfer of Synaptic Proteins.
Michael KlinkenbergMichael HelwigRita Pinto-CostaAngela RollarRaffaella RusconiDonato A Di MonteAyse UlusoyPublished in: Cells (2023)
Neuron-to-neuron transfer of pathogenic α-synuclein species is a mechanism of likely relevance to Parkinson's disease development. Experimentally, interneuronal α-synuclein spreading from the low brainstem toward higher brain regions can be reproduced by the administration of AAV vectors encoding for α-synuclein into the mouse vagus nerve. The aim of this study was to determine whether α-synuclein's spreading ability is shared by other proteins. Given α-synuclein synaptic localization, experiments involved intravagal injections of AAVs encoding for other synaptic proteins, β-synuclein, VAMP2, or SNAP25. Administration of AAV-VAMP2 or AAV-SNAP25 caused robust transduction of either of the proteins in the dorsal medulla oblongata but was not followed by interneuronal VAMP2 or SNAP25 transfer and caudo-rostral spreading. In contrast, AAV-mediated β-synuclein overexpression triggered its spreading to more frontal brain regions. The aggregate formation was investigated as a potential mechanism involved in protein spreading, and consistent with this hypothesis, results showed that overexpression of β-synuclein, but not VAMP2 or SNAP25, in the dorsal medulla oblongata was associated with pronounced protein aggregation. Data indicate that interneuronal protein transfer is not a mere consequence of increased expression or synaptic localization. It is rather promoted by structural/functional characteristics of synuclein proteins that likely include their tendency to form aggregate species.
Keyphrases
- gene therapy
- spinal cord
- poor prognosis
- binding protein
- cell proliferation
- magnetic resonance imaging
- magnetic resonance
- computed tomography
- prefrontal cortex
- multiple sclerosis
- spinal cord injury
- amino acid
- electronic health record
- protein protein
- resting state
- mass spectrometry
- high resolution
- working memory
- artificial intelligence
- deep learning