Ultrastructural Changes of Brain Tissues Surrounding Hematomas after Intracerebral Hemorrhage.

Our knowledge about pathophysiology of intracerebral hemorrhage (ICH) mainly originates from preclinical models of ICH. In this study, cerebral ultrastructure surrounding hematoma and its correlation with clinical severity were investigated in ICH patients. Thirty patients with basal ganglia hemorrhage and 6 control subjects were enrolled. Surgical evacuation was performed for patients with a blood loss >30 ml. Stroke severity was assessed using the Glasgow Coma Scale (GCS) and the National Institute of Health Stroke Scale (NIHSS). Transmission electron microscopy (TEM) was used to evaluate the ultrastructural characteristics of tissue specimens. Neural cells surrounding the hematomas showed evidence of cell swelling and necrosis. Decreased numbers of organelles and mitochondrial cristae were accompanied by cytoplasmic vacuolization, nuclear membrane invagination and breakdown, and intranuclear chromatic agglutination. These changes resulted in disintegration together with malacia, disappearance of the nucleus and nucleolus, and karyopyknosis. More serious ultrastructural damage was seen in patients with greater NIHSS scores, lower GCS scores, and greater bleeding volumes (p < 0.001). These findings suggest that neural cells undergo unfavorable ultrastructural changes that are responsible for dysfunction after ICH.

[Expression of matrix metalloproteinase MMP-9 in the plasma and hematoma fluid of intracerebral hemorrhage patients].

OBJECTIVE: To investigate the matrix metalloproteinase (MMP)-9 played in secondary brain injury following intracerebral hemorrhage (ICH). METHODS: Hematoma fluid and peripheral blood samples were collected from 60 ICH patients, 34 males and 26 females, aged 60 +/- 13 (37 - 81) n the days 1, 4, and 7 after evacuation of hematoma. Peripheral blood samples were collected form. 30 sex, and age-matched healthy adults as normal controls. Cerebrospinal fluid (SCF) samples were collected from 10 sex, and age-matched patients to undergo operation during lumbar anesthesia. ELISA was used to detect the content of MMP-9. Tada formula was used to calculate the perihematomal edema volume. The National Institutes of Health Stroke Scale (NIHHS) and Glasgow Coma Score (GCS) were used to assess the condition of patients. RESULTS: (1) The MMP-9 levels in the plasma and hematoma fluid of the ICH patients at all time points were all significantly higher than those of the normal controls (all P < 0.01). MMP-9 was not found in the normal CSF. (2) The plasma and hematoma fluid MMP-9 levels were increased already in the day 1, peaked in the day 4, and then kept at a high level until the day 7. (3) The MMP-9 levels in hematoma fluid t all time points were all significantly higher than those in the plasma (all P < 0.01). (4) The MMP-9 level was positively correlated with the hematoma volume and NIHSS score, and negatively correlated with the GCS score (both P < 0.01). CONCLUSIONS: MMP-9 may takes part in the secondary injury after ICH, and its change is correlated with the hydrocephalus of patients. The dynamical change of the plasma MMP-9 level is consistent with the hematoma fluid MMP-9 level after ICH. There is a positive correlation among the MMP-9 level, perihematomal edema volume, and severity of ICH.