Occupational histories in neuropathologically confirmed multiple system atrophy

William P Cheshire1, Philip W Tipton2, Shunsuke Koga3

  • 1Division of Autonomic Neurology, Department of Neurology, Mayo Clinic, 4500 San Pablo Rd., Jacksonville, FL, 32224, USA. cheshire@mayo.edu.

Abstract

Insights

Certain occupations were overrepresented in multiple system atrophy (MSA) patients, suggesting potential environmental exposures linked to disease risk. Further research is needed to confirm these occupational associations with MSA causation.

Area of Science:

  • Neuroscience
  • Epidemiology
  • Occupational Health

Background:

  • Multiple system atrophy (MSA) is a rare, sporadic neurodegenerative disease with unknown etiology.
  • Identifying environmental risk factors is crucial for understanding MSA pathogenesis and developing preventative strategies.

Purpose of the Study:

  • To investigate occupational histories of individuals with MSA.
  • To identify potential environmental exposures associated with MSA by comparing occupational data with US census data.

Main Methods:

  • A case-control study included 270 neuropathologically confirmed MSA cases from the Mayo Clinic Brain Bank.
  • Occupational histories were collected retrospectively from medical records and obituaries.
  • Proportions of employment in various sectors were compared against US census data.

Main Results:

  • Significant overrepresentation was found in education, administration, clerical roles, petroleum, metal industries, electrical engineering, civil/mechanical engineering, real estate, IT, woodworking, writing/publishing, law, hairdressing, and social work.
  • These occupational categories showed higher prevalence in MSA patients compared to the general population.

Conclusions:

  • Specific occupational categories are significantly overrepresented in MSA patients.
  • These findings suggest potential environmental exposures linked to certain occupations may increase MSA risk in genetically susceptible individuals.
  • Potential selection bias cannot be excluded.