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Basic Science and Pathogenesis.

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Cognitive impairment is strongly linked to metabolic hearing loss, a subtype of age-related hearing loss. This finding may lead to better dementia prediction by including hearing and genetic data.

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Area of Science:

  • Neuroscience
  • Genetics
  • Audiology

Background:

  • Dementia is a significant health concern, with age-related hearing loss (ARHL) identified as a modifiable risk factor.
  • Previous research into the genetic links between dementia and ARHL has yielded inconsistent results due to varied methodologies.
  • Our prior work indicated shared genetic factors between frontotemporal dementia genes and the metabolic subtype of ARHL.

Purpose of the Study:

  • To investigate the genetic relationship between dementia and ARHL using precise cognitive and audiological measures.
  • To examine the association between specific ARHL subtypes and cognitive impairment.
  • To identify genetic variants and pathways potentially influencing both conditions.

Main Methods:

  • Utilized data from 17,221 older adults in the Canadian Longitudinal Study on Aging (CLSA), including genotype, cognitive, and audiological data.
  • Calculated ARHL subtypes from audiograms and defined cognitive impairment using a CLSA-specific indicator.
  • Planned Mendelian randomization, regression, and fine-mapping analyses to assess causality and identify genetic factors.

Main Results:

  • A significant association was found between cognitive impairment and metabolic hearing loss (p=3x10⁻⁹; OR=1.016 [1.011, 1.022]).
  • No significant association was observed between cognitive impairment and sensory hearing loss (p=0.35; OR=0.99 [0.988, 1.004]).
  • Genetic data analysis is ongoing to identify shared genetic variants and potential causal pathways.

Conclusions:

  • Cognitive impairment is significantly associated with the metabolic subtype of age-related hearing loss.
  • Identifying genetic links or causal pathways will advance understanding of dementia and ARHL.
  • Findings may inform the development of enhanced dementia prediction tools incorporating hearing and genetic data.