Literature DB >> 27716988

Progression of alpha-synuclein pathology in multiple system atrophy of the cerebellar type.

J Brettschneider1, D J Irwin1,2, S Boluda1, M D Byrne1, L Fang3, E B Lee1,4, J L Robinson1, E Suh1,4, V M Van Deerlin1,4, J B Toledo1, M Grossman2, H Hurtig2, R Dengler5, S Petri5, V M-Y Lee1,4, J Q Trojanowski1,4.   

Abstract

AIMS: The aim of this study was to identify early foci of α-synuclein (α-syn pathology) accumulation, subsequent progression and neurodegeneration in multiple system atrophy of the cerebellar type (MSA-C).
METHODS: We analysed 70-μm-thick sections of 10 cases with MSA-C and 24 normal controls.
RESULTS: MSA-C cases with the lowest burden of pathology showed α-syn glial cytoplasmic inclusions (GCIs) in the cerebellum as well as in medullary and pontine cerebellar projections. Cerebellar pathology was highly selective and severely involved subcortical white matter, whereas deep white matter and granular layer were only mildly affected and the molecular layer was spared. Loss of Purkinje cells increased with disease duration and was associated with neuronal and axonal abnormalities. Neocortex, basal ganglia and spinal cord became consecutively involved with the increasing burden of α-syn pathology, followed by hippocampus, amygdala, and, finally, the visual cortex. GCIs were associated with myelinated axons, and the severity of GCIs correlated with demyelination.
CONCLUSIONS: Our findings indicate that cerebellar subcortical white matter and cerebellar brainstem projections are likely the earliest foci of α-syn pathology in MSA-C, followed by involvement of more widespread regions of the central nervous system and neurodegeneration with disease progression.
© 2016 British Neuropathological Society.

Entities:  

Keywords:  cerebellum; multiple system atrophy; α-synuclein

Mesh:

Substances:

Year:  2016        PMID: 27716988      PMCID: PMC5362365          DOI: 10.1111/nan.12362

Source DB:  PubMed          Journal:  Neuropathol Appl Neurobiol        ISSN: 0305-1846            Impact factor:   8.090


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