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Modelling progressive autonomic failure in MSA: where are we now?
Sylvia Stemberger1, Gregor K Wenning
1Division of Clinical Neurobiology, Department of Neurology, Innsbruck Medical University, Innsbruck, Austria.
Developing preclinical models for Multiple System Atrophy (MSA) is crucial. Current research focuses on motor symptoms, but modeling autonomic failure (AF) in MSA requires further investigation in these models.
Area of Science:
- Neuroscience
- Neuropathology
Background:
- Multiple system atrophy (MSA) is a fatal neurodegenerative disease characterized by ataxia, Parkinsonism, and autonomic failure (AF).
- Preclinical models are essential for developing new treatments for MSA.
- Current models primarily focus on motor symptoms and associated neuropathology in the brainstem, cerebellum, and basal ganglia.
Purpose of the Study:
- To review the development of preclinical testbeds for Multiple System Atrophy (MSA).
- To highlight the limitations in modeling the prominent autonomic failure (AF) feature of MSA.
- To discuss emerging evidence of AF-like features in transgenic MSA models.
Main Methods:
- Review of existing preclinical models for MSA.
- Analysis of studies focusing on motor and autonomic features in MSA models.
- Examination of neuropathological findings in relevant brain regions.
Main Results:
- Most preclinical MSA models successfully replicate motor deficits and related neuropathology.
- Modeling progressive autonomic failure (AF) in MSA has been limited.
- Emerging evidence indicates that some transgenic MSA models exhibit AF-like features linked to α-synucleinopathy in autonomic networks.
Conclusions:
- Optimized preclinical models are needed to fully characterize both autonomic and motor features of MSA.
- Further research is required to validate and utilize models that capture the full spectrum of MSA pathology.
- Improved preclinical models will accelerate the development of effective interventional strategies for MSA.
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