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Quantitative cellular changes in multiple system atrophy brains.

Alberte M Andersen1, Sanne S Kaalund1, Lisbeth Marner2,3

  • 1Centre for Neuroscience and Stereology, Department of Neurology, Bispebjerg-Frederiksberg Hospital, Copenhagen, Denmark.

Neuropathology and Applied Neurobiology
|October 9, 2023
PubMed
Summary
This summary is machine-generated.

Multiple system atrophy (MSA) involves neurodegeneration and glial changes. Stereological studies reveal significant neuron loss in MSA, particularly nigrostriatal neurons in MSA-P and cerebellar degeneration in MSA-C, with minimal oligodendrocyte loss.

Keywords:
cell numbersimagingmultiple system atrophystereologyvolumes

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Area of Science:

  • Neuroscience
  • Neuropathology
  • Quantitative Neuroanatomy

Background:

  • Multiple system atrophy (MSA) is a progressive neurodegenerative disease.
  • Key features include parkinsonism, cerebellar ataxia, and autonomic failure.
  • Alpha-synuclein aggregation in oligodendrocytes is the hallmark pathology.

Purpose of the Study:

  • To review stereological data on cell numbers and volumes in MSA brains.
  • To analyze quantitative data from neocortex, cerebrum, brainstem, and cerebellum.
  • To correlate stereological findings with imaging and clinical symptoms.

Main Methods:

  • Systematic review of published stereological studies.
  • Inclusion of unbiased quantitative data on neurons and glial cells (oligodendrocytes, astrocytes, microglia).
  • Analysis of brain region volumes.

Main Results:

  • Stereological data align with neuropathological findings of neurodegeneration and gliosis.
  • Significant loss of nigrostriatal neurons in MSA-P.
  • Evidence of olivopontocerebellar atrophy in MSA-C.
  • Minor loss of oligodendrocytes in sub-cortical regions; negligible brain volume changes.

Conclusions:

  • Stereological methods provide accurate cell count and volume data in MSA.
  • Findings support neurodegeneration patterns correlating with MSA subtypes.
  • Integration of stereology, imaging, and clinical data enhances understanding of MSA pathogenesis.