Clinical Approach to Genetic Cerebral Arteriopathy in the Adult Patient With Ischemic Stroke.
Eliot N HaddadPranav KumarGalen Shearn-NanceG Abbas KharalAndrew DhawanPublished in: Neurology. Genetics (2024)
Genetic arteriopathies leading to stroke in adults constitute a diverse group of cerebrovascular disorders with distinct etiologies, pathophysiologic mechanisms, and clinical presentations. As imaging modalities better delineate subtle changes in cerebral vasculature and access to genetic testing increases, the detection rate for these conditions is expected to rise, particularly among young adults with idiopathic cerebral arteriopathy and stroke. Adults with stroke in the setting of a genetic cerebral arteriopathy often present with few traditional stroke risk factors and, in certain cases, have characteristic clinical features, cerebrovascular imaging findings, and often concurrent systemic vasculopathy, such as aortopathy, which are important to recognize. Given that there are over 50 recognized genetic cerebral arteriopathies that can cause ischemic and hemorrhagic stroke in young adults, it can be a significant diagnostic challenge for the practicing neurologist when faced with a genetic cerebral arteriopathy, because clinical algorithms for a systematic approach to genetic cerebral arteriopathies are lacking. In this review, we present a phenotype-driven, clinically oriented algorithm to guide the diagnostic workup when suspecting a genetic cerebral arteriopathy in an adult patient while highlighting the genetic basis of each disease, molecular mechanisms, clinical manifestations, diagnostic approaches, and emerging therapeutic strategies. Moreover, given the lack of widely available gene panels for diagnostic germline testing for genetic cerebral arteriopathies, we propose key genes to be tested and focused on in each clinical scenario, to better decipher the underlying diagnosis in these rare conditions.
Keyphrases
- genome wide
- subarachnoid hemorrhage
- cerebral ischemia
- atrial fibrillation
- copy number
- young adults
- high resolution
- brain injury
- risk factors
- dna methylation
- squamous cell carcinoma
- gene expression
- oxidative stress
- photodynamic therapy
- mass spectrometry
- deep learning
- ischemia reperfusion injury
- genome wide identification
- drug induced