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The importance of wall degeneration in preclinical aneurysm models
  1. Basil Erwin Grüter1,2,
  2. Serge Marbacher1,2
  1. 1 Department of Neurosurgery, Kantonsspital Aarau AG, Aarau, Aargau, Switzerland
  2. 2 Department for BioMedical Research, Cerebrovascular Research Group, Bern, Switzerland
  1. Correspondence to Dr Basil Erwin Grüter, Department of Neurosurgery, Kantonsspital Aarau AG, 5000 Aarau, Aargau, Switzerland; basil.grueter{at}ksa.ch

https://doi.org/10.1136/neurintsurg-2020-016926

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    Recently, King et al reported having successfully established an extracranial aneurysm model in rabbits that reflects wall degeneration, capacity of growth and potential rupture.1 These are fundamental biological characteristics of human intracranial aneurysms (IAs). Developing an appropriate animal model is of utmost importance for the study of clinical conditions in a preclinical setting. To date, however, only a small minority of the many previously proposed preclinical extracranial aneurysm models2 3 have included decellularized and degenerated walls.

    Unlike microsurgical clipping, which causes immediate mechanical occlusion, aneurysm healing after endovascular treatments depends on a biological response.4 Coil materials are used to induce a thrombus in the aneurysm sac and immediately exclude the aneurysm from blood circulation. Long-term healing, however, relies on thrombus remodelling. A large number of cells are required to organize the early thrombus into mature scar tissue and eventually form a neointima.5 6 These cells are predominantly recruited from the aneurysm wall and the …

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    Footnotes

    • Contributors The entire manuscript is fully and equally coauthored.

    • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

    • Competing interests None declared.

    • Patient consent for publication Not required.

    • Provenance and peer review Not commissioned; externally peer reviewed.

    • Data availability statement Data sharing not applicable as no datasets generated and/or analysed for this study.

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