Diagnostic value of preoperative inflammatory markers in patients with glioma: a multicenter cohort study.

OBJECTIVE Glioma is the most common form of brain tumor and has high lethality. The authors of this study aimed to elucidate the efficiency of preoperative inflammatory markers, including neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and prognostic nutritional index (PNI), and their paired combinations as tools for the preoperative diagnosis of glioma, with particular interest in its most aggressive form, glioblastoma (GBM). METHODS The medical records of patients newly diagnosed with glioma, acoustic neuroma, meningioma, or nonlesional epilepsy at 3 hospitals between January 2011 and February 2016 were collected and retrospectively analyzed. The values of NLR, dNLR, PLR, LMR, and PNI were compared among patients suffering from glioma, acoustic neuroma, meningioma, and nonlesional epilepsy and healthy controls by using nonparametric tests. Correlations between NLR, dNLR, PLR, LMR, PNI, and tumor grade were analyzed. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic significance of NLR, dNLR, PLR, LMR, PNI, and their paired combinations for glioma, particularly GBM. RESULTS A total of 750 patients with glioma (Grade I, 81 patients; Grade II, 208 patients; Grade III, 169 patients; Grade IV [GBM], 292 patients), 44 with acoustic neuroma, 271 with meningioma, 102 with nonlesional epilepsy, and 682 healthy controls were included in this study. Compared with healthy controls and patients with acoustic neuroma, meningioma, or nonlesional epilepsy, the patients with glioma had higher values of preoperative NLR and dNLR as well as lower values of LMR and PNI, whereas PLR was higher in glioma patients than in healthy controls and patients with nonlesional epilepsy. Subgroup analysis revealed a positive correlation between NLR, dNLR, PLR, and tumor grade but a negative correlation between LMR, PNI, and tumor grade in glioma. For glioma diagnosis, the area under the curve (AUC) obtained from the ROC curve was 0.722 (0.697-0.747) for NLR, 0.696 (0.670-0.722) for dNLR, 0.576 (0.549-0.604) for PLR, 0.760 (0.738-0.783) for LMR, and 0.672 (0.646-0.698) for PNI. The best diagnostic performance was obtained with the combination of NLR+LMR and dNLR+LMR, with AUCs of 0.777 and 0.778, respectively. Additionally, NLR (AUC 0.860, 95% CI 0.832-0.887), dNLR (0.840, 0.810-0.869), PLR (0.678, 0.641-0.715), LMR (0.837, 0.811-0.863), and PNI (0.740, 0.706-0.773) had significant predictive value for GBM compared with healthy controls and other disease groups. As compared with the Grade I-III glioma patients, the GBM patients had an AUC of 0.811 (95% CI 0.778-0.844) for NLR, 0.797 (0.763-0.832) for dNLR, 0.662 (0.622-0.702) for PLR, 0.743 (0.707-0.779) for LMR, and 0.661(0.622-0.701) for PNI. For the paired combinations, NLR+LMR demonstrated the highest accuracy. CONCLUSIONS The NLR+LMR combination was revealed as a noninvasive biomarker with relatively high sensitivity and specificity for glioma diagnosis, the differential diagnosis of glioma from acoustic neuroma and meningioma, GBM diagnosis, and the differential diagnosis of GBM from low-grade glioma.

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.

[Neural apoptosis and apoptosis-related genes in intracerebral hemorrhage patients].

OBJECTIVE: To observe the neural apoptosis and expression of apoptosis-related genes in brain in order to elucidate the regulation mechanism in the perihematomal region of intracerebral hemorrhage (ICH) patients. METHODS: Specimens of perihematomal region in human brain were obtained from 29 patients undergoing surgical evacuation of an intracerebral hematoma. Specimens of brain tissue were collected from the corpses of 6 persons within 3 hours after the accidental death. Neural apoptosis was evaluated by terminal deoxynucleotidyl transferase-mediated deoxyuridine 5' triphosphate nick end labeling (TUNEL) method and immunohistochemistry was used to detect the expression of Bcl-2, Bax, P53, and caspase-3 genes. RESULTS: The apoptosis rates of the ICH group was 4.10 +/- 0.28, significantly higher than that of the control group (0.57 +/- 0.43, P < 0.01). The expression rate of Bcl-2 the ICH group was 2.68 +/- 0.52, significantly higher than that of the control group (1.54 +/- 0.56, P < 0.01). The expression rate of Bax of the ICH group was 3.49 +/- 0.18, significantly higher than that of the control group (0.96 +/- 0.27, P < 0.01). The expression of P53 was 4.12 +/- 0.63, significantly higher than that of the control group (0.96 +/- 0.71, P < 0.01). The expression of caspase-3 of the ICH group was 3.50 +/- 0.25, significantly higher than that of the control group (0.74 +/- 0.73, P < 0.01). The expression levels of Bcl-2 and P53 were negatively correlated with the apoptosis rate (both P < 0.01), while the expression levels of Bax and caspase-3, and the Bax/Bcl-2 ratio were positively correlated with the apoptosis rate in perihematomal region of ICH patients (all P < 0.01). CONCLUSION: Apoptosis is involved in the delayed brain injury after ICH in human and is the main factor of delayed neural death. Some of the genes take part in the regulation of neural apoptosis: Bax and caspase-3 hasten the apoptosis while Bcl-2 and P53 restrain it.