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Updated: Jan 2, 2026
Isolation and Flow Cytometric Analysis of Immune Cells from the Ischemic Mouse Brain
Published on: February 12, 2016
[Immunological predictors of acute post-stroke period]
I N Otman1, S A Zozulya1, A S Chukanova2
1Mental Health Research Center, Moscow, Russia.
Introduction:
At the present time, there is an increased interest in the search for biological predictors of the course and outcome of ischemic stroke (IS). Numerous studies have shown the relationship between neuroinflammation (in the brain) and systemic inflammatory response (in the blood).
Aim:
To study the relationship of inflammatory and autoimmune markers in blood serum of patients with acute ischemic stroke (on the 1st day) with the dynamics of the severity of neurological deficit (on the 1st and 10th day) and to assess the predictive ability of these indicators.
Material And Methods:
Twenty-two patients in the acute period of IS (mean age 60±15.5 years) were examined. The severity of neurological deficit was assessed by ESS and NIHSS. The enzymatic activity of leukocyte elastase (LE), α1-proteinase inhibitor (α1-PI), level of autoantibodies to S-100B and MBP in serum was determined. The control group consisted of 33 healthy subjects. Blood samples were carried out on the 1st day of the post-stroke period, the clinical examination was performed on the 1st and 10th day of observation.
Results:
Depending on the dynamics of neurological symptoms by the 10th day of observation, two subgroups of patients were identified. The1st subgroup was characterized by the normalization of neurological deficit (n=10). In the 2nd group, the negative dynamics of neurological deficit/lack of any positive changes was observed (n=12). Both subgroups demonstrated the increase in the LE and α1-PI activity as compared to the control (p=0.0019, p=0.00079; p=0.038, p=0.00041, respectively). The highest LE activity was detected in the 1st subgroup (p=0.035). The high level of autoantibodies to MBP was also observed in the 1st subgroup as compared to the control and the 2nd group (p=0.047, p=0.03, respectively). The 2nd subgroup was characterized by a higher functional activity of acute phase protein α1-PI (p=0.04). Using regression analysis, a model for predicting the course of the early post-stroke period depending on the determined immunological parameters was developed.
Conclusion:
The results suggest that the studied inflammatory and autoimmune markers may be possible predictors of the course of the early post-stroke period.
