Candidate Genetic and Molecular Drivers of Dysregulated Adaptive Immune Responses After Traumatic Brain Injury

被引:0
|
作者
Duchniewicz, Michal [1 ]
Lee, John Y. W. [2 ]
Menon, David K. [2 ]
Needham, Edward J. [2 ,3 ,4 ]
机构
[1] Univ Cambridge, Sch Clin Med, Cambridge, England
[2] Univ Cambridge, Dept Med, Div Anaesthesia, Cambridge, England
[3] Univ Cambridge, Dept Clin Neurosci, Cambridge, England
[4] Univ Cambridge, Hills Rd, Cambridge CB2 0QQ, England
基金
英国医学研究理事会;
关键词
genetics; immunology; inflammation; traumatic brain injury; REGULATORY T-CELLS; MHC CLASS-I; NF-KAPPA-B; SUSCEPTIBILITY LOCI; AUTOIMMUNE-DISEASES; CROHNS-DISEASE; TH17; CELLS; POLYMORPHISM; ASSOCIATION; RECEPTOR;
D O I
10.1089/neu.2023.0187
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Neuroinflammation is a significant and modifiable cause of secondary injury after traumatic brain injury (TBI), driven by both central and peripheral immune responses. A substantial proportion of outcome after TBI is genetically mediated, with an estimated heritability effect of around 26%, but because of the comparatively small datasets currently available, the individual drivers of this genetic effect have not been well delineated. A hypothesis-driven approach to analyzing genome-wide association study (GWAS) datasets reduces the burden of multiplicity testing and allows variants with a high prior biological probability of effect to be identified where sample size is insufficient to withstand data-driven approaches. Adaptive immune responses show substantial genetically mediated heterogeneity and are well established as a genetic source of risk for numerous disease states; importantly, HLA class II has been specifically identified as a locus of interest in the largest TBI GWAS study to date, highlighting the importance of genetic variance in adaptive immune responses after TBI. In this review article we identify and discuss adaptive immune system genes that are known to confer strong risk effects for human disease, with the dual intentions of drawing attention to this area of immunobiology, which, despite its importance to the field, remains under-investigated in TBI and presenting high-yield testable hypotheses for application to TBI GWAS datasets.
引用
收藏
页码:3 / 12
页数:10
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