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1.
Neurocrit Care ; 36(1): 97-105, 2022 02.
Artículo en Inglés | MEDLINE | ID: mdl-34302276

RESUMEN

OBJECTIVE: We want to investigate the effect of aquaporin-4 (AQP4) on cerebral edema induced by ischemic stroke in rats and explore whether inhibiting the expression of AQP4 through acetazolamide (AZA) could attenuate brain edema and protect cerebral function. METHODS: The Sprague Dawley (SD) rats were randomly divided into four groups: sham + saline group, sham + AZA group, AZA intervention group, and nonintervention group. Each group was divided into five subgroups according to the time of cerebral ischemia (6 h, 1 day, 3 days, 5 days, and 7 days). The model of cerebral infarction in rats was adopted by means of the bilateral carotid arteries ligation (2-VO) method. The rats in intervention group were given intraperitoneal injection of AZA (35 mg/kg/day). Hematoxylin-eosin staining was performed for pathological analysis of the infarcted area. The brain water content was calculated to evaluate the degree of brain edema. The messenger RNA (mRNA) and protein expressions of AQP4 in the brain were measured by quantitative real-time polymerase chain reaction and immunohistochemistry, respectively. RESULTS: Significant cerebral pathological damages were found in ischemic stroke rats. The brain water content, protein, and mRNA expression of AQP4 of the intervention and nonintervention groups were markedly higher than those of the sham groups. By contrast, AZA administration reduced the brain water content, whereas improved cerebral dysfunction was induced by ischemic stroke. Moreover, AZA obviously reduced the protein and mRNA expression of AQP4 after ischemic stroke in rats' brains. CONCLUSIONS: The expression of AQP4 was closely related to cerebral edema induced by ischemic stroke. Decreasing the expression of AQP4 mRNA by AZA administration can effectively relieve cerebral edema and decrease cerebral pathological damage.


Asunto(s)
Edema Encefálico , Accidente Cerebrovascular Isquémico , Acetazolamida/farmacología , Animales , Acuaporina 4/metabolismo , Edema Encefálico/tratamiento farmacológico , Edema Encefálico/etiología , Edema Encefálico/metabolismo , ARN Mensajero , Ratas , Ratas Sprague-Dawley
2.
Biosci Rep ; 40(7)2020 07 31.
Artículo en Inglés | MEDLINE | ID: mdl-32667033

RESUMEN

BACKGROUND: Glioblastoma (GBM) has a high degree of malignancy, aggressiveness and recurrence rate. However, there are limited options available for the treatment of GBM, and they often result in poor prognosis and unsatisfactory outcomes. MATERIALS AND METHODS: In order to identify potential core genes in GBM that may provide new therapeutic insights, we analyzed three gene chips (GSE2223, GSE4290 and GSE50161) screened from the GEO database. Differentially expressed genes (DEG) from the tissues of GBM and normal brain were screened using GEO2R. To determine the functional annotation and pathway of DEG, Gene Ontology (GO) and KEGG pathway enrichment analysis were conducted using DAVID database. Protein interactions of DEG were visualized using PPI network on Cytoscape software. Next, 10 Hub nodes were screened from the differentially expressed network using MCC algorithm on CytoHubba software and subsequently identified as Hub genes. Finally, the relationship between Hub genes and the prognosis of GBM patients was described using GEPIA2 survival analysis web tool. RESULTS: A total of 37 up-regulated and 187 down-regulated genes were identified through microarray analysis. Amongst the 10 Hub genes selected, SV2B appeared to be the only gene associated with poor prognosis in glioblastoma based on the survival analysis. CONCLUSION: Our study suggests that high expression of SV2B is associated with poor prognosis in GBM patients. Whether SV2B can be used as a new therapeutic target for GBM requires further validation.


Asunto(s)
Biomarcadores de Tumor/genética , Neoplasias Encefálicas/genética , Glioblastoma/genética , Glicoproteínas de Membrana/genética , Proteínas del Tejido Nervioso/genética , Encéfalo/patología , Neoplasias Encefálicas/mortalidad , Neoplasias Encefálicas/patología , Biología Computacional , Conjuntos de Datos como Asunto , Regulación hacia Abajo , Perfilación de la Expresión Génica , Regulación Neoplásica de la Expresión Génica , Redes Reguladoras de Genes , Glioblastoma/mortalidad , Glioblastoma/patología , Humanos , Análisis de Secuencia por Matrices de Oligonucleótidos , Pronóstico , Mapeo de Interacción de Proteínas , Mapas de Interacción de Proteínas/genética , Análisis de Supervivencia , Regulación hacia Arriba
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