Evaluation of blood cerebrospinal fluid barrier function and quantification of the humoral immune response within the central nervous system

Tick-borne encephalitis (TBE) is a viral infectious disease of the central nervous system caused by the tick-borne encephalitis virus (TBEV). TBE is usually a biphasic disease and in humans the virus can only be detected during the first (unspecific) phase of the disease. Pathogenesis of TBE is not well understood, but both direct viral effects and immune-mediated tissue damage of the central nervous system may contribute to the natural course of TBE. The effect of TBEV on the innate immune system has mainly been studied in vitro and in mouse models. Characterization of human immune responses to TBEV is primarily conducted in peripheral blood and cerebrospinal fluid, due to the inaccessibility of brain tissue for sample collection. Natural killer (NK) cells and T cells are activated during the second (meningo-encephalitic) phase of TBE. The potential involvement of other cell types has not been examined to date. Immune cells from peripheral blood, in particular neutrophils, T cells, B cells and NK cells, infiltrate into the cerebrospinal fluid of TBE patients.

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A novel gene signature based on five immune checkpoint genes predicts the survival of glioma

Chinese Neurosurgical Journal ◽

10.1186/s41016-020-00220-2 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Wei Zhang ◽

You Zhai ◽

Guanzhang Li ◽

Tao Jiang

Keyword(s):

Gene Expression ◽

Central Nervous System ◽

Immune Response ◽

Nervous System ◽

Cox Regression ◽

Gene Signature ◽

Immune Checkpoints ◽

The Novel ◽

The Central Nervous System ◽

Checkpoint Genes

Abstract Background Glioma is the most common and fatal type of nerve neoplasm in the central nervous system. Several biomarkers have been considered for prognosis prediction, which is not accurate enough. We aimed to carry out a gene signature related to the expression of immune checkpoints which was enough for its performance in prediction. Methods Gene expression of immune checkpoints in TGGA database was filtrated. The 5 selected genes underwent verification by COX and Lasso-COX regression. Next, the selected genes were included to build a novel signature for further analysis. Results Patients were sub-grouped into high and low risk according to the novel signature. Immune response, clinicopathologic characters, and survival showed significant differences between those 2 groups. Terms including “naive,” “effector,” and “IL-4” were screened out by GSEA. The results showed strong relevance between the signature and immune response. Conclusions We constructed a gene signature with 5 immune checkpoints. The signature predicted survival effectively. The novel signature performed more functional than previous biomarkers.

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Development of the Cerebrospinal Fluid in Early Stage after Hemorrhage in the Central Nervous System

Life ◽

10.3390/life11040300 ◽

2021 ◽

Vol 11 (4) ◽

pp. 300

Author(s):

Petr Kelbich ◽

Aleš Hejčl ◽

Jan Krejsek ◽

Tomáš Radovnický ◽

Inka Matuchová ◽

...

Keyword(s):

Central Nervous System ◽

Cerebrospinal Fluid ◽

Nervous System ◽

Early Stage ◽

Rank Test ◽

Signed Rank ◽

Signed Rank Test ◽

The Central Nervous System ◽

Poor Outcomes ◽

Molecular Patterns

Extravasation of blood in the central nervous system (CNS) represents a very strong damaged associated molecular patterns (DAMP) which is followed by rapid inflammation and can participate in worse outcome of patients. We analyzed cerebrospinal fluid (CSF) from 139 patients after the CNS hemorrhage. We compared 109 survivors (Glasgow Outcome Score (GOS) 5-3) and 30 patients with poor outcomes (GOS 2-1). Statistical evaluations were performed using the Wilcoxon signed-rank test and the Mann–Whitney U test. Almost the same numbers of erythrocytes in both subgroups appeared in days 0–3 (p = 0.927) and a significant increase in patients with GOS 2-1 in days 7–10 after the hemorrhage (p = 0.004) revealed persistence of extravascular blood in the CNS as an adverse factor. We assess 43.3% of patients with GOS 2-1 and only 27.5% of patients with GOS 5-3 with low values of the coefficient of energy balance (KEB < 15.0) in days 0–3 after the hemorrhage as a trend to immediate intensive inflammation in the CNS of patients with poor outcomes. We consider significantly higher concentration of total protein of patients with GOS 2-1 in days 0–3 after hemorrhage (p = 0.008) as the evidence of immediate simultaneously manifested intensive inflammation, swelling of the brain and elevation of intracranial pressure.

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