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April 1, 2026Journal of Neurology0 citationsOpen Access

Genotype–phenotype correlations and protein domain-level predictors of cerebrovascular malformations in hereditary hemorrhagic telangiectasia

CSCarmelo Lucio SturialeFCFederico Maria CocilovoGTGianluca Trevisi

Key Points

  • This study investigates correlations between genotype and phenotype, focusing on predictors of cerebrovascular malformations in hereditary hemorrhagic telangiectasia.
  • Retrospective analysis of 142 Caucasian patients with genetically confirmed hereditary hemorrhagic telangiectasia.
  • Clinical manifestations correlated with mutated genes (ENG, ACVRL1, SMAD4) and variant types.
  • Multivariable logistic regression used to identify independent predictors of brain arteriovenous malformations.
  • ENG mutations are strongly associated with both pulmonary and brain arteriovenous malformations, with 35.8% of ENG carriers having bAVMs.
  • Younger age is identified as the sole independent predictor of bAVMs in HHT patients.
  • Distinct phenotypic patterns noted for ENG and ACVRL1 carriers.

Abstract

Abstract Background Hereditary Hemorrhagic Telangiectasia (HHT) exhibits marked phenotypic heterogeneity. Although gene–organ associations are well established for visceral involvement, predictors of cerebrovascular malformations (CVMs), particularly brain arteriovenous malformations (bAVMs), remain incompletely defined. This study aimed to investigate genotype–phenotype correlations and identify predictors of bAVMs in a genetically confirmed HHT cohort. Methods We conducted a retrospective analysis of 142 Caucasian patients with genetically confirmed HHT. Clinical manifestations were systematically assessed and correlated with the mutated gene (ENG, ACVRL1, and SMAD4), variant type (truncating vs. non-truncating), and protein domain location. Multivariable logistic regression was performed to identify independent predictors of bAVMs. Results The cohort included 83 (58.5%) ACVRL1 and 53 (37.3%) ENG mutation carriers. Bivariate analysis demonstrated distinct phenotypic patterns. ENG mutations were strongly associated with pulmonary AVMs ( p < 0.001) and bAVMs ( p < 0.001), with bAVMs observed in 35.8% of ENG carriers compared with 3.6% of ACVRL1 carriers. In contrast, hepatic AVMs were more frequent among ACVRL1 carriers (44.6%), although this did not reach statistical significance ( p = 0.086). In the multivariable logistic regression model (overall p < 0.001), younger age emerged as the sole independent predictor of bAVMs (OR 0.968, p = 0.040), whereas the mutated gene did not retain independent significance. Conclusion ENG mutation carriers display a markedly increased cerebrovascular burden, confirming a gene-specific susceptibility to bAVMs. Younger age independently predicts bAVM presence. These findings support age- and genotype-informed risk stratification and may help refine screening strategies in HHT patients.

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Cite This Study

Sturiale et al. (2026) studied this question.

synapsesocial.com/papers/69cd7a915652765b073a7e1ahttps://doi.org/10.1007/s00415-026-13777-2
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