Brain specific proteins in serum: do they reliably reflect brain damage?

Neuronal and glial markers are differently associated with computed tomography findings and outcome in patients with severe traumatic brain injury: a case control study

INTRODUCTION

Authors of several studies have studied biomarkers and computed tomography (CT) findings in the acute phase after severe traumatic brain injury (TBI). However, the correlation between structural damage as assessed by neuroimaging and biomarkers has not been elucidated. The aim of this study was to investigate the relationships among neuronal (Ubiquitin carboxy-terminal hydrolase L1 [UCH-L1]) and glial (glial fibrillary acidic protein [GFAP]) biomarker levels in serum, neuroradiological findings and outcomes after severe TBI.

METHODS

The study recruited patients from four neurotrauma centers. Serum samples for UCH-L1 and GFAP were obtained at the time of hospital admission and every 6 hours thereafter. CT scans of the brain were obtained within 24hrs of injury. Outcome was assessed by Glasgow Outcome Scale (GOS) at discharge and at 6 months.

RESULTS

81 severe TBI patients and 167 controls were enrolled. The mean serum levels of UCH-L1 and GFAP were higher (p < 0.001) in TBI patients compared to controls. UCH-L1 and GFAP serum levels correlated significantly with Glasgow Coma Scale (GCS) and CT findings. GFAP levels were higher in patients with mass lesions than in those with diffuse injury (2.95 ± 0.48 ng/ml versus 0.74 ± 0.11 ng/ml) while UCH-L1 levels were higher in patients with diffuse injury (1.55 ± 0.18 ng/ml versus 1.21 ± 0.15 ng/ml, p = 0.0031 and 0.0103, respectively). A multivariate logistic regression showed that UCH-L1 was the only independent predictor of death at discharge [adjusted odds ratios 2.95; 95% confidence interval, 1.46-5.97], but both UCH-L1 and GFAP levels strongly predicted death 6 months post-injury.

CONCLUSIONS

Relationships between structural changes detected by neuroimaging and biomarkers indicate each biomarker may reflect a different injury pathway. These results suggest that protein biomarkers could provide better characterization of subjects at risk for specific types of cellular damage than that obtained with neuroimaging alone, as well as provide valuable information about injury severity and outcome after severe TBI.

Sepsis-associated encephalopathy: not just delirium

Sepsis is a major cause of mortality and morbidity in intensive care units. Organ dysfunction is triggered by inflammatory insults and tissue hypoperfusion. The brain plays a pivotal role in sepsis, acting as both a mediator of the immune response and a target for the pathologic process. The measurement of brain dysfunction is difficult because there are no specific biomarkers of neuronal injury, and bedside evaluation of cognitive performance is difficult in an intensive care unit. Although sepsis-associated encephalopathy was described decades ago, it has only recently been subjected to scientific scrutiny and is not yet completely understood. The pathophysiology of sepsis-associated encephalopathy involves direct cellular damage to the brain, mitochondrial and endothelial dysfunction and disturbances in neurotransmission. This review describes the most recent findings in the pathophysiology, diagnosis, and management of sepsis-associated encephalopathy and focuses on its many presentations.

Neuroprotein s-100B -- a useful parameter in paediatric patients with mild traumatic brain injury?

AIMS

To examine the correlation of S-100B to cranial computerized tomography (CCT) scan results in children after mild traumatic brain injury (MTBI).

METHODS

One hundred and nine paediatric patients (0-18 years) with MTBI were included in this prospective single-centre study. Serum was collected within 6 h of trauma for determination of serum S-100B. The upper reference of S-100B was set to 0.16 mug/L. A CCT scan was performed in all patients and the results were correlated to the S-100B values.

RESULTS

Computerized tomography was abnormal in 36 patients showing intracerebral haemorrhages and/or skull fractures. Serum S-100B level was significantly higher in patients with a pathological condition as shown in CT scan results (p = 0.003). There were no false negative, but 42 false positive test results for S-100B. This resulted in a sensitivity of 1.00, specificity of 0.42, positive predictive value of 0.46 and negative predictive value of 1.00. An area under the receiver operating curve of 0.68 was calculated.

CONCLUSION

S-100B is a valuable tool to rule out patients with pathological CCT findings in a collective of paediatric patients with MTBI. Elevations of S-100B do not necessarily lead to a pathological finding in the CT scan, but values below the cut-off safely rule out the evidence of intracranial lesions.

CHANGES IN CSF S100B AND CYTOKINE CONCENTRATIONS IN EARLY-PHASE SEVERE TRAUMATIC BRAIN INJURY

S100B protein (S100B) has been described as a marker of brain injury. Various cytokines also increase in the cerebrospinal fluid (CSF) of patients with severe traumatic brain injury (TBI). Thus, we investigated early changes in the concentrations of CSF S100B and various cytokines after TBI and evaluated the relations of both S100B and cytokines to intracranial pressure (ICP) and prognosis. Twenty-three patients with severe TBI and a Glasgow Coma Scale score of 8 or less on admission were included in this study. CSF and serum samples were obtained on admission and at 6, 12, 24, 48, 72, and 96 h after injury. CSF concentrations of S100B and CSF and serum concentrations of five cytokines (IL-1beta, TNF-alpha, IL-6, IL-8, and IL-10) were measured and compared. The CSF S100B concentration was increased for 6 h after injury and decreased thereafter. The CSF concentrations of IL-6 and IL-8 peaked within 6 h after injury; other cytokines (IL-1beta, TNF-alpha, and IL-10) were elevated for 24 h after injury and gradually decreased thereafter. Peak CSF S100B concentrations correlated significantly with ICP determined at the time CSF samples were taken (r = 0.729, P < 0.0001). For the cytokines investigated, only the peak CSF IL-1beta concentration correlated significantly and positively with the peak CSF S100B concentration (r = 0.397, P < 0.005). Peak CSF concentrations of S100B (1649 +/- 415 microg/L, mean +/- SEM) and IL-1beta (16.5 +/- 3.3 pg/mL) in the 6 patients with high ICP were significantly higher than those (233 +/- 67 microg/L, 7.6 +/- 1.7 pg/mL, respectively) in the 17 patients with low ICP (P < 0.05). The CSF S100B concentration (1231 +/- 378 microg/L) in eight patients with an unfavorable outcome was significantly higher than that (267 +/- 108 microg/L) in 15 patients with a favorable outcome (P < 0.05). The CSF IL-1beta concentration (14.8 +/- 3.4 pg/mL) in eight patients with an unfavorable outcome tended to be higher than that (7.3 +/- 1.5 pg/mL) in 15 patients with a favorable outcome (P = 0.057). CSF concentrations of S100B and cytokines peak within 24 h after severe TBI and decrease gradually thereafter. CSF S100B and IL-1beta may be useful as predictors of outcome in cases of severe TBI.