Genetic and nongenetic factors associated with CADASIL: A retrospective cohort study

Carolina Ospina1, Joseph F Arboleda-Velasquez2, Daniel Camilo Aguirre-Acevedo1

  • 1Neuroscience Group of Antioquia, University of Antioquia, Medellín, Colombia.

Insights

Cardiovascular risk factors and NOTCH3 gene mutations influence Cerebral Autosomal-Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) presentation. Diabetes accelerated stroke onset in carriers, and specific NOTCH3 mutations showed genotype-phenotype links.

Area of Science:

  • Genetics
  • Neurology
  • Cardiology

Background:

  • Cerebral Autosomal-Dominant Arteriopathy with Subcortical Infarcts and Leukoencephalopathy (CADASIL) exhibits variable clinical presentations.
  • The role of cardiovascular risk factors and specific NOTCH3 gene mutations in this variability remains incompletely understood.

Purpose of the Study:

  • To investigate the influence of cardiovascular risk factors and distinct NOTCH3 mutations on the clinical variability of CADASIL.
  • To explore genotype-phenotype correlations within CADASIL families.

Main Methods:

  • Retrospective cohort study of 331 individuals, including 90 NOTCH3 mutation carriers.
  • Cox proportional hazards and competing risk regression models were used to analyze genetic and cardiovascular factors impacting migraine, stroke, and dementia onset.
  • Analysis considered death as a competing risk.

Main Results:

  • Cardiovascular risk factor frequencies were similar between NOTCH3 mutation carriers and noncarriers.
  • Diabetes was significantly associated with an earlier stroke onset in carriers (SHR 2.74).
  • A genotype-phenotype relationship was observed: C455R mutation carriers had high rates of migraine and earlier onset of migraine and stroke, while R141C carriers showed reduced migraine frequency.

Conclusions:

  • The study highlights a complex interaction between genetic predisposition (NOTCH3 mutations) and cardiovascular risk factors in shaping CADASIL.
  • These factors contribute to the observed variability in clinical presentation and disease severity.
  • Characterizing extended family groups provided valuable genotype-phenotype insights.
Abstract

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