Neuroimmune predictors of outcome after aneurysmal subarachnoid hemorrhage

Abstract

Aim. To determine the possibility of predicting the course and outcomes of aneurysmal subarachnoid hemorrhage (aSAH) by using the detection of autoantibody level to neurospecific proteins. Methods. The autoantibody level to neurospecific proteins was detected in 65 people: 30 healthy volunteers and 35 with a confirmed diagnosis of aneurysmal subarachnoid hemorrhage. Autoantibodies to myelin basic protein (MBP), peripheral myelin, dopamine receptors, myosin, N-methyl-D-aspartate (NMDA) receptors and S100 protein detected by using an enzyme immunoassay. The severity of illness in dynamics was defined in all patients by using the following scales: Rivermead mobility index, Hunt–Hess, Graeb and others. Statistical analysis was performed using Statistica 10.0, with the consistent use of descriptive statistics methods, the Mann–Whitney, Kruskal–Wallis and Pearson tests, Spearman coefficient. Results. At the first stage, neurospecific proteins characterized by a large increase in autoantibody titers were identified. Further, based on the data obtained, a statistically significant correlation between autoantibody ­titers to S100 protein (360.43±40.35 µg/ml, p <0.05), MBP (145.91±12.43 µg/ml, p <0.05), NMDA receptors (66.17±6.42 µg/ml, p <0.05) and aSAH outcome was established. Conclusion. The study revealed an increase in autoantibody level to neurospecific proteins in the blood plasma of patients, depending on the severity of subarachnoid hemorrhage and the development of delayed cerebral ischemia due to cerebral vasospasm; high antibodies titers to S100 protein in subarachnoid hemorrhage are associated with cerebral vasospasm and the development of secondary (delayed) ischemic changes in the brain.