Beyond the Brain: Systematic Review of Extracerebral Phenotypes Associated With Monogenic Cerebral Small Vessel

Kristiina Rannikmäe1, David E Henshall1, Sophie Thrippleton2

  • 1Centre for Medical Informatics, Usher Institute (K.R., D.E.H., T.W., K.W., C.S.), University of Edinburgh, United Kingdom.

Stroke
|August 27, 2020
PubMed

Insights

Extracerebral phenotypes are frequent in monogenic cerebral small vessel disease (cSVD), often appearing more than stroke. This review highlights shared systemic involvement across multiple cSVD genes.

Area of Science:

  • Neurology
  • Genetics
  • Systemic Diseases

Background:

  • Monogenic causes account for a significant portion of cerebral small vessel disease (cSVD).
  • Many genes implicated in monogenic cSVD are also linked to extracerebral conditions.
  • Understanding these extracerebral manifestations is crucial for comprehensive diagnosis and management.

Purpose of the Study:

  • To systematically review and assess the frequency of extracerebral phenotypes in individuals with monogenic cSVD.
  • To identify shared extracerebral manifestations across different monogenic cSVD genes.
  • To provide insights into the clinical spectrum of these genetic disorders.

Main Methods:

  • A systematic literature review was conducted following PRISMA guidelines.
  • Searched Medline/Embase for publications on pathogenic variants in key cSVD genes (COL4A1/2, TREX1, HTRA1, ADA2, CTSA).
  • Extracted data on individual characteristics, extracerebral phenotypes, and stroke/TIA events.

Main Results:

  • Included 96 (COL4A1), 32 (TREX1), 43 (HTRA1), 16 (COL4A2), 119 (ADA2), and 3 (CTSA) publications.
  • Extracerebral phenotypes were prevalent, ranging from 14% to 100% across different genes.
  • Ocular, renal, hepatic, muscle, and hematologic systems showed involvement in multiple monogenic cSVDs.

Conclusions:

  • Extracerebral phenotypes are common and often shared among different monogenic cSVDs.
  • Existing literature has biases; large-scale longitudinal studies are needed for unbiased data.
  • Findings can aid patient selection for genetic testing, clinical management, and understanding cSVD mechanisms.
Abstract