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Genetic drivers of cerebral blood flow dysfunction in TBI: a speculative synthesis

Authors :
Zeiler, FA
Thelin, E
Donnelly, J
Stevens, A
Smielewski, P
Czosnyka, M
Hutchinson, PJ
Menon, D
Zeiler, Frederick [0000-0003-1737-0510]
Thelin, Eric [0000-0002-2338-4364]
Donnelly, Joseph [0000-0002-6502-8069]
Smielewski, Peter [0000-0001-5096-3938]
Czosnyka, Marek [0000-0003-2446-8006]
Hutchinson, Peter [0000-0002-2796-1835]
Menon, David [0000-0002-3228-9692]
Apollo - University of Cambridge Repository
Publication Year :
2019
Publisher :
Springer Nature, 2019.

Abstract

Cerebral autoregulatory dysfunction after traumatic brain injury (TBI) is strongly linked to poor global outcome in patients at 6 months after injury. However, our understanding of what drives this dysfunction is limited. Genetic variation among individuals within a population gives rise to single nucleotide polymorphisms (SNPs) that have the potential to influence a given patient’s cerebrovascular response to an injury. Associations have been reported between a variety of genetic polymorphisms and global outcome in patients with TBI, but few studies have explored the association between genetics and cerebrovascular function after injury. In this Review, we explore polymorphisms that might play an important part in cerebral autoregulatory capacity after TBI. We outline a variety of SNPs, their biological substrates and their potential role in mediating cerebrovascular reactivity. A number of candidate polymorphisms exist in genes that are involved in myogenic, endothelial, metabolic and neurogenic vascular responses to injury. Furthermore, polymorphisms in genes involved in inflammation, the central autonomic response and spreading cortical depression might drive cerebrovascular reactivity. Identification of candidate genes involved in cerebral autoregulation after TBI provides a platform and rationale for further prospective investigation of the link between genetic polymorphisms and autoregulatory function.

Details

Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....e5ac6129c2461940cdedea1775cee365
Full Text :
https://doi.org/10.17863/cam.35381