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Journal of Neuroinflammation logoLink to Journal of Neuroinflammation
. 2013 Jul 5;10:80. doi: 10.1186/1742-2094-10-80

Disruption of the blood–brain barrier after generalized tonic-clonic seizures correlates with cerebrospinal fluid MMP-9 levels

Ya-Jun Li 1,✉, Zheng-Hai Wang 2, Bei Zhang 1, Xiao Zhe 1, Ming-Jue Wang 1, Shao-Ting Shi 1, Jing Bai 1, Tao Lin 1, Chang-Jiang Guo 1, Shi-Jun Zhang 1, Xiang-Li Kong 1, Xing Zuo 1, Hang Zhao 1
PMCID: PMC3706217  PMID: 23829879

Abstract

Background

Increasing evidence suggests seizures cause blood–brain barrier (BBB) dysfunction including decreased seizure threshold and higher onset potential of future seizures. However, the mechanisms underlying BBB damage in seizures remains poorly understood. Evidence in human and animal models shows BBB disruption is associated with activation of matrix metalloproteinase-9 (MMP-9) after cerebral ischemia and inflammation. The objective of this study was to determine whether MMP-9 concentrations in cerebral spinal fluid (CSF) are associated with BBB disruption in patients after epileptic seizures.

Methods

Thirty-one patients with generalized tonic-clonic (GTC) seizures were included in the study: 20 had recurrent GTC seizures (RS), and 11 had a single GTC seizure (SS) episode. Twenty-five adult non-seizure patients were used as controls. CSF samples were collected by lumbar puncture within 24 h after seizure cessation (range: 3–15 h, mean 6.2 h). CSF MMP-9 levels were determined by an enzyme-linked immunosorbent assay (ELISA). MMP enzyme activity was measured by gelatin zymography. The CSF/serum albumin ratio (albumin quotient, QAlb) was used as a measure of blood–brain barrier permeability.

Results

We found significantly higher CSF MMP-9 concentrations in seizure patients compared with controls (P < 0.001). CSF MMP-9 levels and QAlb values were higher in RS patients compared with SS and controls. Moreover, CSF MMP-9 concentration showed strong correlation between QAlb values (r = 0.76, P < 0.0001) and between CSF leukocyte counts (r = 0.77, P < 0.0001) in patients after seizures. Gelatin zymography showed MMP-9 proteolytic activity only in GTC seizure patients.

Conclusions

Our results suggest MMP-9 plays a role in BBB dysfunction, characterized by invasion of leukocytes into the CSF during seizures.

Keywords: Cerebrospinal fluid, Seizure, BBB, Metalloproteinase-9, Leukocytes

Background

The blood–brain barrier (BBB) is the most important vascular barrier of the central nervous system (CNS). Due to its unique structure, the BBB limits penetration of a variety of harmful substances from the blood into the brain, while also supplying the brain with nutrients required for proper function. In recent years, animal models and human clinical data have described a central role for vascular integrity, specifically the permeability of the BBB, as an important mediator of brain damage, including the delayed appearance of neuronal dysfunction and death [1-4]. Studies show BBB dysfunction is common following traumatic, ischemic or infectious brain insults, and it may last from several days to weeks and even years after the acute event [5,6]. Recently, clinical and experimental data have correlated primary BBB lesions with seizures and epileptogenesis. Experimental studies have demonstrated a rapid increase in BBB permeability in animals experiencing long-lasting seizures, especially status epilepticus (SE). Studies in human epileptic patients are consistent with the animal data, showing an increase in BBB permeability during seizures [7,8]. Pentylenetetrazole-induced seizures cause BBB disruption, allowing permeation of blood-borne large molecules, such as albumin, into the CNS [9,10]. BBB disruption decreases the seizure threshold and facilitates the onset of seizures, and it is independent of the fact that such disruption is associated with or a result of the seizure itself [11]. The mechanisms underlying the BBB disruption in seizures and epileptogenesis are not entirely clear. There is evidence in human and animal stroke models that BBB disruption is associated with activation of matrix metalloproteinases (MMPs) [12-14].

MMPs are a family of zinc-dependent endopeptidases that are subdivided according to their substrate affinities for different components of the extracellular matrix. Among the various MMPs, metalloproteinase-9 (MMP-9), also known as gelatinase B, is thought to play an important role in BBB disruption after cerebral ischemia and inflammation [12,15-17]. MMP-9 degrades collagen IV, a major component of the basement membrane of the cerebral epithelium that is responsible for the integrity of BBB. The activity of MMP-9 is further controlled by the specific tissue inhibitor TIMP-1. However, the link between CSF MMP-9 levels and the presence of BBB disruption in patients after seizures has not yet been investigated in humans. Our study aimed to determine whether MMP-9 can be measured in CSF of patients after epileptic seizures and whether there is a correlation between CSF MMP-9 levels and QAlb values in patients after epileptic seizures.

Methods

Patient recruitment

The study was performed at the Department of Neurology of the Affiliated Hospital of Xi’an Medical University. Thirty-one patients with either tonic-clonic or partial secondarily generalized seizures were included in the study: 20 had recurrent GTC seizures (RS), and 11 had a single GTC seizure (SS) episode confirmed by an eyewitness that occurred within 3 h before admission. On admission to the emergency ward, all seizure patients received standard intravenous treatment with diazepam (dose range 10–20 mg) to stop seizure activity. Then patients were admitted to a neurologic ward for further evaluation. All patients underwent a standard diagnostic workup including neurologic examination and blood biochemical assessment. Ten patients presented the first-ever epileptic seizure and underwent further examinations including electroencephalography (EEG) and either a computed tomography (CT) or magnetic resonance imaging (MRI) scan, and the final diagnosis of epilepsy was confirmed (8 with cryptogenic localization-related epilepsy and 2 with idiopathic generalized epilepsy). Twenty-one patients already had an epilepsy diagnosis: 6 with cryptogenic localization-related epilepsy and 15 with symptomatic localization-related epilepsy with secondary generalization. Those patients presenting apparent symptomatic etiology of seizures, that is, electrolyte disturbances, defined metabolic causes, drug intoxication, infections, trauma or abnormal CT or MRI suggestive of acute brain diseases were excluded. All patients were studied within 24 h after the seizure. Epilepsy was diagnosed and classified according to the criteria proposed by the International League Against Epilepsy in 2011 [18]. Seizures and epileptic syndromes were classified according to the ILAE diagnostic criteria.

The control samples were obtained from 25 adult patients (mean age 39 ±13.6 years; range 16–56 years) by lumbar puncture and examined to exclude those with neurological disease, including nonspecific symptoms without diagnosed organic neurologic disease (n = 7), peripheral nervous system disorders (n = 4), acute headache (n = 5), spontaneous intracranial hypotension (n = 3), compressive radiculopathy (n = 4) and primary dementia (n = 2). All controls had normal neurological examination and normal CSF results on routine analysis.

All epileptic patients and controls were fully informed of the risks and potential benefits of the CSF examination as part of the diagnostic workup. Informed consent to participate in the study was obtained from each subject (or from the next of kin if the patient was incapable). Five patients were considered for the study but did not agree to undergo lumbar puncture and were not included in the study. The study protocol was approved by the Ethics Committee of the Affiliated Hospital of Xi’an Medical University, and all investigations were done in accordance with the criteria of the Declaration of Helsinki.

CSF/serum sampling and biochemical analysis

CSF samples were taken between 10 a.m. and 5 p.m. by lumbar puncture from the L3/L4 or L4/L5 inter-vertebral space. Lumbar puncture was performed within 24 h after seizure cessation (range: 3–15 h, mean 6.2 h). CSF samples that were not clear or initially contained blood with gradual clearing were excluded from analysis. The first 2 ml of CSF was used for routine clinical tests and the subsequent 0.5 ml for our study. The CSF white blood cell (WBC) count, differential leukocyte count, total protein concentration, glucose (Glu) and chloride (CL) values were determined by standard methods immediately after lumbar puncture. Cytology of CSF cells was also performed. CSF and peripheral blood samples were collected simultaneously and centrifuged for 10 min at 2,500 g; 500 μl of the cell-free samples was immediately frozen and stored at −80°C until analysis. Concentrations of MMP-9 were measured by commercial enzyme-linked immunosorbent assay (ELISA) kits (R & D Systems, Minneapolis, MN) performed according to the manufacturer’s instructions. Optical density values were determined with a microplate reader set to 450 nm.

Measurement of the QAlb value

Quantitative determination of albumin in the CSF and serum of all specimens were measured by a commercial kit (BioAssay Systems, Hayward, CA). The CSF/serum albumin ratio (albumin quotient, QAlb) was used as a measure of blood–brain barrier permeability. QAlb was calculated using the formula: QAlb = CSFAlb/serum Alb × 103.

Gelatin zymography

Activity of MMP-2 and MMP-9 enzymes in CSF samples was determined by gelatin zymography as previously described [16]. Briefly, activity of MMPs was analyzed by modified sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Stacking gels contained 4% polyacrylamide, and separating gels contained 12.5% polyacrylamide and 0.1% gelatin. The 2 ml CSF was centrifuged at 10,000 × g for 15 min at 4°C to remove debris. Protein contents of supernatants were then mixed with an equal volume of 2× non-reducing sample buffer, and 25 μl was loaded per well. The gels underwent electrophoresis at 90 V and 4°C in running buffer (25 mM Tris, 250 mM glycine, 0.1% sodium dodecyl sulfate) until the bromophenol blue marker dye reached the bottom of the gel. After electrophoresis, the gel was transferred into a 2.5% Triton X-100 wash for 1 h at room temperature. After decanting the washing solution, the gel was equilibrated with developing buffer (50 mM Tris–HCl, pH 7.5, 200 mM NaCl, 5 mM CaCl2, 0.02% Brij-35, 0.01% NaN3) for 30 min at room temperature with gentle agitation. The gel was then placed in fresh developing buffer and incubated at 37°C for 18 h. The gel was stained for 1 h with 0.25% Coomassie Brilliant Blue R-250 (Sigma, St. Louis, MO) and was destained in 15% methanol/7.5% acetic acid. MMP activity was detected as white bands of lysis against the Coomassie blue-stained gel. The CSF zymography experiments were performed in triplicate. The gels were digitalized and the integrated density of the bands expressed as arbitrary units. The intensities of the gelatinolytic bands corresponding to MMP-9 and MMP-2 were calculated using the open-access software Image J 1.46r (National Institutes of Health, Bethesda, MD, USA; http://rsb.info.nih.gov/ij).

Statistical analysis

Data are presented as mean ± SD for normally distributed and non-parametric data. Student's t-test and Mann–Whitney U-test were used for comparison of normally distributed and non-parametric data, respectively, between groups. ANOVA and Kruskal-Wallis test were used for comparison of normally distributed and non-parametric data, respectively, between multiple groups. Spearman's correlation coefficient was used to correlate variables in the groups studied. The calculations were performed with GraphPadInStat version 3.05 software (GraphPad Software, Inc., San Diego, CA, USA). For all tests, P < 0.05 was considered significant.

Results

Demographics of study participants

Demographic details of patients with epilepsy and controls are presented in Table 1. Thirty-one seizure patients and 25 controls provided data for the study. The mean age of the seizure patients was 42.5 (range, 20–68) years, and 16 (44%) were women. Among the controls, mean age was 38.7 (range, 22–71) years, and 12 (48%) were women. There were no differences between the two groups for these demographics. Twelve patients were receiving monotherapy, 9 polytherapy (the mean number of medications 2.3) and 10 patients no medication.

Table 1.

Clinical characteristics of seizure patients and control subjects

Variable Patient Control P value
Number (n)
 31
 25
  
Current age (years)
 42.5 (15.1)
 38.7 (17.6)
 P > 0.05
Age at onset of epilepsy (years)
 23.3 (14.8)
  
  
Gender (M:F), n
 20/16
 13/12
 P > 0.05
Red blood cells (1012/l)
 4.3
 4.5
 P > 0.05
White blood cells (109/l)
 5.9
 6.2
 P > 0.05
Focus of seizure
  
  
  
Temporal, n (%)
 13 (41.9)
  
  
Extratemporal, n (%)
 18 (58.1)
  
  
Type of seizure
  
  
  
Single GTC seizure, n (%)
 11 (35.5)
  
  
Repetitive GTC seizure, n (%)
 20 (64.5)
  
  
Epilepsy duration (years)
 6.3 (1–18)
  
  
Frequency of seizures (month)
 1.5 (1–5)
  
  
Number of seizures
 3.3 (1–10)
  
  
Total duration of seizure (min)
 8.3 (2–13)
  
  
Time to sampling (h)
 6.2 (3–15)
  
  
Anti-epileptic drugs used
 21 (67.7)
  
  
No treatment 10 (32.3)    
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Mann–Whitney U-test for continuous variables; cross tabulations and chi-square-test for categorical variables.

MMP-9 concentrations and QAlb values are higher in seizure patients

We measured significantly higher MMP-9 concentrations (Table 2 and Figure 1A; P < 0.001) and QAlb values (Table 2 and Figure 2A) in seizure patients compared with controls. We found significantly higher concentrations of MMP-9 (Figure 1B) and QAlb values (Figure 2B) in RS patients compared with SS and controls (Figure 1B). Analysis of temporal epilepsy and extra-temporal epilepsy showed no significant difference in CSF MMP-9 (Figure 1C) or QAlb values (Figure 2C). In addition, when considering use of anti-epileptic drugs (AEDs), we found no difference in MMP-9 levels (Figure 1D) or QAlb values (Figure 2D). All seizure patients had normal serum protein and albumin concentrations. These data suggest that the CSF albumin increase was regulated by the increased permeability of the damaged BBB.

Table 2.

The mean concentrations of CSF MMP-9, CSF cell count and albumin, and serum albumin from patients with GTC seizures and controls

Variable Patient (mean ± SD) Control (mean ± SD) P
CSF leukocytes (106/l)
 8.2 ± 2.3
 2.0036 ± 1.4
 <0.05
CSF erythrocytes (106/l)
 19.6 ± 30.5
 14.4 ± 21.8
 >0.05
CSF albumin (g/l)
 278.6 ± 35.5 (×10-3)
 198.2 ± 48.7 (×10-3)
 <0.05
Serum albumin (g/l)
 41.6 ± 1.3
 42.3 ± 1.5
 >0.05
QAlb
 8.35 ± 2.6 (×10-3)
 4.7 ± 1.4 (×10-3)
 <0.001
MMP-9 (ng /ml) 7.0 ± 2.4 1.80 ± 0.63 <0.001
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Patient compared to control by Mann–Whitney test.

Figure 1.

Figure 1

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CSF MMP-9 levels in seizure patients and controls. (A) Boxplot representing the distribution (median and interquartile range) of CSF MMP-9 concentrations for control subjects (Control) and seizure patients (Epilepsy). Significantly higher MMP-9 levels in seizure patients compared with controls are shown. (B) Patients with repetitive generalized tonic-clonic seizures tended to have higher CSF MMP-9 levels compared with those who had single generalized tonic-clonic seizure and controls. (C) No significant difference found between temporal and extratemporal epilepsy (P > 0.05). (D) No significant difference between AEDs treatment groups (P > 0.05). Horizontal line indicates median. Significant change at P < 0.001 using Mann–Whitney U tests.

Figure 2.

Figure 2

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Mean QAlb values in seizure patients and controls. (A) Boxplot representing the distribution (median and interquartile range) of QAlb for control and epilepsy patients. QAlb values were higher in the epilepsy group than in controls. (B) Patients with repetitive GTC seizures had higher QAlb values than those with a single GTC seizure. (C) No significant difference found between temporal and extratemporal epilepsy (P > 0.05). (D) No difference measured between AEDs treatment groups (P > 0.05). Horizontal line indicates median; significant P-values among groups are displayed (Mann–Whitney test).

MMP-9 concentrations and QAlb values are correlated

To determine if the increased MMP-9 levels and higher QAlb values were related, we performed correlation analysis. We found a strong correlation between MMP-9 concentration and QAlb values in patients after GTC seizures (Figure 3A, r = 0.76, P < 0.001). We also found a correlation between CSF MMP-9 concentration and leukocyte counts in patients after GTC seizures (Figure 3B, r = 0.77, P < 0.001). In fact, our data show the greater number of leukocytes in the CSF aligned with higher MMP-9 concentrations. These results suggest leukocytes are the source of increased MMP-9 levels in CSF after seizure.

Figure 3.

Figure 3

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Correlation analysis of CSF MMP-9 levels in seizure patients. (A )Significant correlation between CSF MMP-9 levels and QAlb value (P < 0.0001, r = 0.77). (B) Significant correlation between CSF MMP-9 levels and CSF leukocyte count (P < 0.0001, r =0.76). (C) No significant correlation between CSF MMP-9 levels and seizure frequency (P = 0.846, r = 0.036). (D) No significant correlation between QAlb value and seizure frequency ( P = 0.424, r = 0.149). Correlation analysis performed with Spearman’s rank correlation coefficient.

We also looked at the correlation between CSF MMP-9 levels and seizure frequency and correlation between QAlb values and seizure frequency. We found that neither CSF MMP-9 levels nor QAlb values correlated with seizure frequency (Figure 3C-D).

MMP-9 enzyme activity detected in seizure samples

We randomly selected CSF specimens from two patients and two controls for enzyme activity analysis by gelatin zymography. As shown in Figure 4, all CSF specimens from patients and controls show a band at molecular mass 72 kD, representing MMP-2. However, only CSF specimens from patients after seizure showed MMP-9 activity. We found that RS and SS samples had a higher ratio of active/inactive MMP-9 activity, supporting the argument that higher MMP-9 levels and the severity of BBB damage are dependent on the number of seizure insults but not MMP-2. Interestingly, polymorphonuclear neutrophils were present in 42% of patient CSF samples. This confirms a transient influx of neutrophils into the CSF of patients after epileptic seizure.

Figure 4.

Figure 4

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MMP enzyme activity of CSF samples. Top panel: Gelatin zymography gel results. Lane 1: GTC seizure sample; lanes 2 and 3 are controls; lane 4: single GTC seizure sample. Note that only seizure samples had positive MMP activity. (A) The relative optical density of MMP-9. (B) The relative optical density of MMP-2.

Discussion

Many questions are unanswered regarding how BBB integrity changes during epileptic seizures. And it is unclear whether elevated CSF MMP-9 contributes to alterations in BBB permeability. Our study addresses these questions by demonstrating, in vivo, a marked dysfunction of the BBB with significantly higher MMP-9 in CSF after epileptic seizures. To our knowledge, this is the first prospective study of the link between CSF MMP-9 and BBB dysfunction in patients after epileptic seizure.

A dysfunctional BBB leads to increased permeability, allowing increased CSF marker passage. Therefore, CSF protein levels are a reliable way to monitor BBB integrity without using invasive methods. A common and well-established assessment of BBB function measures the level of albumin, a blood-specific protein in CSF and serum, reported as the CSF/serum albumin ratio (QAlb) [19,20]. An increase in QAlb reflects the serum albumin leakage in CSF due to BBB dysfunction, especially blood-CSF barrier dysfunction [21-23]. Previous studies have shown increased QAlb is correlated with status epilepticus [7]. In our study, we found the QAlb value was significantly increased in patients after seizure, suggesting BBB dysfunction after epileptic seizure. This finding is consistent with histological studies showing albumin accumulation in human epileptic brains [24,25]. Ultrastructural studies on human resected epileptic tissue also show clear BBB abnormalities, including increased micropinocytosis and the presence of abnormal tight junctions [26,27].

Accumulating experimental evidence indicates BBB dysfunction and inflammatory mediators decrease the threshold for individual seizures and contribute to epileptogenesis. Thus, BBB breakdown is regarded as an important pathophysiological event in seizures and epileptogenesis. Therefore, understanding the mechanisms controlling BBB disruption is critical to the understanding of epileptogenesis and may lead to new therapeutic targets for the prevention and treatment of epilepsy.

Matrix metallopeptidases (MMPs) represent a family of extracellular soluble or membrane bound neutral proteases having complex functions in normal and pathological conditions. Among MMPs, MMP-2 and MMP-9 are the only two gelatinases in humans. MMP-2 is normally found in brain and CSF [28]. In our study we found MMP-2 in the control CSF and in the patient CSF, indicating that expression of CSF MMP-2 in patients was not a result of seizure. MMP-9 is most abundantly expressed in the developing brain and is produced mainly by neurons and, to some extent, by glial cells in the CNS [29-31]. Under normal physiological conditions, MMP-9 is involved in dendritic spine remodeling, synaptic plasticity, learning and memory formation [32-35]. Increasing evidence in experimental animal models of epilepsy and human epileptic brains shows that MMP-9 plays a role in the pathogenesis of epilepsy by contributing to neuronal death, aberrant synaptic plasticity and neuroinflammation [36-39]. One study found that MMP-9 participates in the occurrence of seizures by converting pro-BDNF to mature BDNF in the hippocampus [38]. BDNF contributes to epilepsy in many ways. The roles of BDNF are not only important in acute seizures and epileptogenesis, but are also likely to be important in chronic epilepsy. Increased levels of BDNF exert functional effects that are consistent with a pro-convulsant action. Animal model studies suggest intrahippocampal infusion of BDNF, and transgenic overexpression of BDNF significantly increases seizure susceptibility and severity [40-43]. Other studies have reported MMP-9-induced cell death is closely linked with the pathogenesis of epilepsy after SE [34,44]. In particular, MMP-9 knockout mice were less susceptible to seizure-induced brain injury, and MMP-9 inhibition ameliorated cell death following pilocarpine-induced seizures in infant rats [34]. Further, MMP-9 plays an important role in epileptogeness mainly due to MMP-9-related synaptic plasticity changes rather than neuronal death [45]. However, the relationship between CSF MMP-9 and BBB dysfunction in patients after epileptic seizures remains unclear.

A growing body of experimental and clinical evidence shows MMP-9 plays a major role in BBB disruption in a variety of pathological conditions including CNS infections [46-48], stroke [12,15,49,50], multiple sclerosis [51] and traumatic brain injury [52]. MMP-9 cleaves type IV collagen, a major component of the basement membrane of the cerebral epithelium that is responsible for the integrity of the BBB. MMP-9 also degrades a number of other extracellular matrix molecules including type V and XI collagens, laminin and aggrecan core protein [29,53,54]. Our study confirms a strong correlation between CSF MMP-9 levels and BBB dysfunction in patients after GTC seizures and argues MMP-9, not MMP-2, plays a role in BBB disruption during seizures.

Here, we also confirmed a transient influx of granulocytes into CSF of patients after epileptic seizure. Neutrophils in CSF samples are commonly considered a pathological feature. The migration of leukocytes from the bloodstream into the CNS is a key event in the pathogenesis of inflammatory neurological diseases. Recent data suggest that leukocyte-endothelial interaction and brain infiltration by leukocytes plays an important role in the pathogenesis of epilepsy [55-57]. In our study, we also found that elevated MMP-9 levels in CSF are primarily related to the number of immigrated leukocytes, with positive correlation between CSF MMP-9 levels and CSF leukocytes as well as between CSF MMP-9 levels and QAlb values. Leukocytes contribute to seizure pathogenesis acutely through affects on the BBB and chronically through several mechanisms including generation of oxygen free radicals, release of cytotoxic enzymes, vascular alterations and increase in cytokine and chemoattractant release [58]. Thus, we confirm that increased CSF MMP-9 represents the accumulation of activated leukocytes. It is reasonable to suspect that leukocytes are major producers of MMP-9. Furthermore, it has been demonstrated that injured neuronal and glial cells are major sources of MMP-9, supporting the neuroinflammatory response by releasing cytokines during epileptic seizures [36,37,53]. Indeed, we observed MMP-9 activity in CSF specimens from patients with seizures only.

We also analyzed effects of antiepileptic drugs (AEDs) on CSF MMP-9 concentrations and found no significant MMP-9 changes in patients with seizure. It is important to note several other reports show AEDs inhibit MMP-9 production and protect BBB function in epileptic patients and cerebral ischemic rats [59,60]. It has been proposed that MMP-9 is involved in aberrant synaptic formation in hippocampi of patients with temporal lobe epilepsy [39]. Therefore, we also analyzed temporal and extra-temporal seizures. Our findings show no differences in CSF MMP-9 levels between patients with temporal seizures and patients with extra-temporal seizures. In general, our findings argue MMP-9 overexpression is associated with activation of leukocytes, most likely polymorphonuclear, that serve as a key cellular source of MMP-9 in CSF. In turn, this promotes leukocyte recruitment, causing BBB breakdown, microvascular basal lamina proteolysis, and ultimately contributes to neuronal injury after epileptic seizure.

Conclusions

In this study, we found a significant correlation between CSF MMP-9 concentrations and CSF leukocyte counts, leading to BBB dysfunction. We suggest increased concentrations of MMP-9 in CSF were partly derived from leukocytes. These results demonstrate that seizure is characterized by invasion of leukocytes into the CSF and increased CSF MMP-9 levels are associated with BBB dysfunction in patients with seizures.

Competing interests

The authors declared that they have no competing interest.

Authors’ contributions

YJL designed the research, ZHW reviewed and helped in analyzing data, BZ, XZ, MJW and STS processed serum and CSF from the patients and controls, JB, TL, CJG, SJZ, XLK, XZ and HZ performed the research, and YJL and ZHW wrote the paper. All authors read and approved the final manuscript.

Contributor Information

Ya-Jun Li, Email: liyajun9@hotmail.com.

Zheng-Hai Wang, Email: wangzhenhai1968@163.com.

Bei Zhang, Email: bud8092doc@163.com.

Xiao Zhe, Email: zhexiao_1981@sina.com.

Ming-Jue Wang, Email: yl_wmj@163.com.

Shao-Ting Shi, Email: sstsst1978@163.com.

Jing Bai, Email: bj.0505@163.com.

Tao Lin, Email: 929830435@qq.com.

Chang-Jiang Guo, Email: guoguo2005aini@163.com.

Shi-Jun Zhang, Email: zhangshijun2007@sina.com.

Xiang-Li Kong, Email: kongxiangli1009@163.com.

Xing Zuo, Email: zuoxingyes@126.com.

Hang Zhao, Email: zhaohong608@yahoo.com.cn.

Acknowledgments

This work was supported by grants from Natural Science Foundation of Shaanxi Province (no. 2009JM4035) and Science and Technology Plan Projects of the Shaanxi Provincial Department of Education (no. 07JK372), and from Science and Technology Project of Xi'an Lianhu District (no. K2011–024). We thank Dr. Austin Cape for careful reading and insightful feedback.

References

  1. Abbott NJ, Ronnback L, Hansson E. Astrocyte-endothelial interactions at the blood–brain barrier. Nat Rev Neurosci. 2006;7:41–53. doi: 10.1038/nrn1824. [DOI] [PubMed] [Google Scholar]
  2. Hawkins BT, Davis TP. The blood–brain barrier/neurovascular unit in health and disease. Pharmacol Rev. 2005;57:173–185. doi: 10.1124/pr.57.2.4. [DOI] [PubMed] [Google Scholar]
  3. Tomkins O, Shelef I, Kaizerman I, Eliushin A, Afawi Z, Misk A, Gidon M, Cohen A, Zumsteg D, Friedman A. Blood–brain barrier disruption in post-traumatic epilepsy. J Neurol Neurosurg Psychiatry. 2008;79:774–777. doi: 10.1136/jnnp.2007.126425. [DOI] [PubMed] [Google Scholar]
  4. van Vliet EA, da Costa AS, Redeker S, van Schaik R, Aronica E, Gorter JA. Blood–brain barrier leakage may lead to progression of temporal lobe epilepsy. Brain. 2007;130:521–534. doi: 10.1093/brain/awl318. [DOI] [PubMed] [Google Scholar]
  5. Korn A, Golan H, Melamed I, Pascual-Marqui R, Friedman A. Focal cortical dysfunction and blood–brain barrier disruption in patients with postconcussion syndrome. J Clin Neurophysiol. 2005;22:1–9. doi: 10.1097/01.WNP.0000150973.24324.A7. [DOI] [PubMed] [Google Scholar]
  6. Strbian D, Durukan A, Pitkonen M, Marinkovic I, Tatlisumak E, Pedrono E, Abo-Ramadan U, Tatlisumak T. The blood–brain barrier is continuously open for several weeks following transient focal cerebral ischemia. Neuroscience. 2008;153:175–181. doi: 10.1016/j.neuroscience.2008.02.012. [DOI] [PubMed] [Google Scholar]
  7. Correale J, Rabinowicz AL, Heck CN, Smith TD, Loskota WJ, DeGiorgio CM. Status epilepticus increases CSF levels of neuron-specific enolase and alters the blood–brain barrier. Neurology. 1998;50:1388–1391. doi: 10.1212/WNL.50.5.1388. [DOI] [PubMed] [Google Scholar]
  8. Friedman A. Blood–brain barrier dysfunction, status epilepticus, seizures, and epilepsy: a puzzle of a chicken and egg? Epilepsia. 2011;52(Suppl 8):19–20. doi: 10.1111/j.1528-1167.2011.03227.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Sahin D, Ilbay G, Ates N. Changes in the blood–brain barrier permeability and in the brain tissue trace element concentrations after single and repeated pentylenetetrazole-induced seizures in rats. Pharmacol Res. 2003;48:69–73. [PubMed] [Google Scholar]
  10. Marchi N, Angelov L, Masaryk T, Fazio V, Granata T, Hernandez N, Hallene K, Diglaw T, Franic L, Najm I, Janigro D. Seizure-promoting effect of blood–brain barrier disruption. Epilepsia. 2007;48:732–742. doi: 10.1111/j.1528-1167.2007.00988.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Marchi N, Tierney W, Alexopoulos AV, Puvenna V, Granata T, Janigro D. The etiological role of blood–brain barrier dysfunction in seizure disorders. Cardiovasc Psychiatry Neurol. 2011;2011:482415. doi: 10.1155/2011/482415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Barr TL, Latour LL, Lee KY, Schaewe TJ, Luby M, Chang GS, El-Zammar Z, Alam S, Hallenbeck JM, Kidwell CS, Warach S. Blood–brain barrier disruption in humans is independently associated with increased matrix metalloproteinase-9. Stroke. 2010;41:e123–e128. doi: 10.1161/STROKEAHA.109.570515. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Aoki T, Sumii T, Mori T, Wang X, Lo EH. Blood–brain barrier disruption and matrix metalloproteinase-9 expression during reperfusion injury: mechanical versus embolic focal ischemia in spontaneously hypertensive rats. Stroke. 2002;33:2711–2717. doi: 10.1161/01.STR.0000033932.34467.97. [DOI] [PubMed] [Google Scholar]
  14. Jin R, Yang G, Li G. Molecular insights and therapeutic targets for blood–brain barrier disruption in ischemic stroke: critical role of matrix metalloproteinases and tissue-type plasminogen activator. Neurobiol Dis. 2010;38:376–385. doi: 10.1016/j.nbd.2010.03.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Gidday JM, Gasche YG, Copin JC, Shah AR, Perez RS, Shapiro SD, Chan PH, Park TS. Leukocyte-derived matrix metalloproteinase-9 mediates blood–brain barrier breakdown and is proinflammatory after transient focal cerebral ischemia. Am J Physiol Heart Circ Physiol. 2005;289:H558–H568. doi: 10.1152/ajpheart.01275.2004. [DOI] [PubMed] [Google Scholar]
  16. Tsai HC, Chung LY, Chen ER, Liu YC, Lee SS, Chen YS, Sy CL, Wann SR, Yen CM. Association of matrix metalloproteinase-9 and tissue inhibitors of metalloproteinase-4 in cerebrospinal fluid with blood–brain barrier dysfunction in patients with eosinophilic meningitis caused by Angiostrongylus cantonensis. Am J Trop Med Hyg. 2008;78:20–27. [PubMed] [Google Scholar]
  17. Fernandez-Lopez D, Faustino J, Daneman R, Zhou L, Lee SY, Derugin N, Wendland MF, Vexler ZS. Blood–brain barrier permeability is increased after acute adult stroke but not neonatal stroke in the rat. J Neurosci. 2012;32:9588–9600. doi: 10.1523/JNEUROSCI.5977-11.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Berg AT, Scheffer IE. New concepts in classification of the epilepsies: entering the 21st century. Epilepsia. 2011;52:1058–1062. doi: 10.1111/j.1528-1167.2011.03101.x. [DOI] [PubMed] [Google Scholar]
  19. Tibbling G, Link H, Ohman S. Principles of albumin and IgG analyses in neurological disorders. I. Establishment of reference values. Scand J Clin Lab Invest. 1977;37:385–390. doi: 10.3109/00365517709091496. [DOI] [PubMed] [Google Scholar]
  20. Ganrot K, Laurell CB. Measurement of IgG and albumin content of cerebrospinal fluid, and its interpretation. Clin Chem. 1974;20:571–573. [PubMed] [Google Scholar]
  21. Chalbot S, Zetterberg H, Blennow K, Fladby T, Andreasen N, Grundke-Iqbal I, Iqbal K. Blood-cerebrospinal fluid barrier permeability in Alzheimer's disease. J Alzheimers Dis. 2011;25:505–515. doi: 10.3233/JAD-2011-101959. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Sindic CJ, Van Antwerpen MP, Goffette S. The intrathecal humoral immune response: laboratory analysis and clinical relevance. Clin Chem Lab Med. 2001;39:333–340. doi: 10.1515/CCLM.2001.052. [DOI] [PubMed] [Google Scholar]
  23. Reiber H, Padilla-Docal B, Jensenius JC, Dorta-Contreras AJ. Mannan-binding lectin in cerebrospinal fluid: a leptomeningeal protein. Fluids Barriers CNS. 2012;9:17. doi: 10.1186/2045-8118-9-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Raabe A, Schmitz AK, Pernhorst K, Grote A, von der Brelie C, Urbach H, Friedman A, Becker AJ, Elger CE, Niehusmann P. Cliniconeuropathologic correlations show astroglial albumin storage as a common factor in epileptogenic vascular lesions. Epilepsia. 2012;53:539–548. doi: 10.1111/j.1528-1167.2012.03405.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Marchi N, Teng Q, Ghosh C, Fan Q, Nguyen MT, Desai NK, Bawa H, Rasmussen P, Masaryk TK, Janigro D. Blood–brain barrier damage, but not parenchymal white blood cells, is a hallmark of seizure activity. Brain Res. 2010;1353:176–186. doi: 10.1016/j.brainres.2010.06.051. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Cornford EM. Epilepsy and the blood–brain barrier: endothelial cell responses to seizures. Adv Neurol. 1999;79:845–862. [PubMed] [Google Scholar]
  27. Heinemann U, Kaufer D, Friedman A. Blood–brain barrier dysfunction, TGFbeta signaling, and astrocyte dysfunction in epilepsy. Glia. 2012;60:1251–1257. doi: 10.1002/glia.22311. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Grossetete M, Phelps J, Arko L, Yonas H, Rosenberg GA. Elevation of matrix metalloproteinases 3 and 9 in cerebrospinal fluid and blood in patients with severe traumatic brain injury. Neurosurgery. 2009;65:702–708. doi: 10.1227/01.NEU.0000351768.11363.48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Dong X, Song YN, Liu WG, Guo XL. Mmp-9, a potential target for cerebral ischemic treatment. Curr Neuropharmacol. 2009;7:269–275. doi: 10.2174/157015909790031157. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Michaluk P, Kaczmarek L. Matrix metalloproteinase-9 in glutamate-dependent adult brain function and dysfunction. Cell Death Differ. 2007;14:1255–1258. doi: 10.1038/sj.cdd.4402141. [DOI] [PubMed] [Google Scholar]
  31. Szklarczyk A, Lapinska J, Rylski M, McKay RD, Kaczmarek L. Matrix metalloproteinase-9 undergoes expression and activation during dendritic remodeling in adult hippocampus. J Neurosci. 2002;22:920–930. doi: 10.1523/JNEUROSCI.22-03-00920.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Michaluk P, Wawrzyniak M, Alot P, Szczot M, Wyrembek P, Mercik K, Medvedev N, Wilczek E, De Roo M, Zuschratter W. et al. Influence of matrix metalloproteinase MMP-9 on dendritic spine morphology. J Cell Sci. 2011;124:3369–3380. doi: 10.1242/jcs.090852. [DOI] [PubMed] [Google Scholar]
  33. Wang XB, Bozdagi O, Nikitczuk JS, Zhai ZW, Zhou Q, Huntley GW. Extracellular proteolysis by matrix metalloproteinase-9 drives dendritic spine enlargement and long-term potentiation coordinately. Proc Natl Acad Sci U S A. 2008;105:19520–19525. doi: 10.1073/pnas.0807248105. [DOI] [PMC free article] [PubMed] [Google Scholar]
  34. Hoehna Y, Uckermann O, Luksch H, Stefovska V, Marzahn J, Theil M, Gorkiewicz T, Gawlak M, Wilczynski GM, Kaczmarek L, Ikonomidou C. Matrix metalloproteinase 9 regulates cell death following pilocarpine-induced seizures in the developing brain. Neurobiol Dis. 2012;48:339–347. doi: 10.1016/j.nbd.2012.06.023. [DOI] [PubMed] [Google Scholar]
  35. Nagy V, Bozdagi O, Matynia A, Balcerzyk M, Okulski P, Dzwonek J, Costa RM, Silva AJ, Kaczmarek L, Huntley GW. Matrix metalloproteinase-9 is required for hippocampal late-phase long-term potentiation and memory. J Neurosci. 2006;26:1923–1934. doi: 10.1523/JNEUROSCI.4359-05.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Konopka A, Grajkowska W, Ziemianska K, Roszkowski M, Daszkiewicz P, Rysz A, Marchel A, Koperski L, Wilczynski GM, Dzwonek J. Matrix metalloproteinase-9 (MMP-9) in human intractable epilepsy caused by focal cortical dysplasia. Epilepsy Res. 2013;104:45–58. doi: 10.1016/j.eplepsyres.2012.09.018. [DOI] [PubMed] [Google Scholar]
  37. Li S, Yu S, Zhang C, Shu H, Liu S, An N, Yang M, Yin Q, Yang H. Increased expression of matrix metalloproteinase 9 in cortical lesions from patients with focal cortical dysplasia type IIb and tuberous sclerosis complex. Brain Res. 2012;1453:46–55. doi: 10.1016/j.brainres.2012.03.009. [DOI] [PubMed] [Google Scholar]
  38. Mizoguchi H, Nakade J, Tachibana M, Ibi D, Someya E, Koike H, Kamei H, Nabeshima T, Itohara S, Takuma K. et al. Matrix metalloproteinase-9 contributes to kindled seizure development in pentylenetetrazole-treated mice by converting pro-BDNF to mature BDNF in the hippocampus. J Neurosci. 2011;31:12963–12971. doi: 10.1523/JNEUROSCI.3118-11.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Wilczynski GM, Konopacki FA, Wilczek E, Lasiecka Z, Gorlewicz A, Michaluk P, Wawrzyniak M, Malinowska M, Okulski P, Kolodziej LR. et al. Important role of matrix metalloproteinase 9 in epileptogenesis. J Cell Biol. 2008;180:1021–1035. doi: 10.1083/jcb.200708213. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Lahteinen S, Pitkanen A, Koponen E, Saarelainen T, Castren E. Exacerbated status epilepticus and acute cell loss, but no changes in epileptogenesis, in mice with increased brain-derived neurotrophic factor signaling. Neuroscience. 2003;122:1081–1092. doi: 10.1016/j.neuroscience.2003.08.037. [DOI] [PubMed] [Google Scholar]
  41. Scharfman HE, Goodman JH, Sollas AL, Croll SD. Spontaneous limbic seizures after intrahippocampal infusion of brain-derived neurotrophic factor. Exp Neurol. 2002;174:201–214. doi: 10.1006/exnr.2002.7869. [DOI] [PubMed] [Google Scholar]
  42. Croll SD, Suri C, Compton DL, Simmons MV, Yancopoulos GD, Lindsay RM, Wiegand SJ, Rudge JS, Scharfman HE. Brain-derived neurotrophic factor transgenic mice exhibit passive avoidance deficits, increased seizure severity and in vitro hyperexcitability in the hippocampus and entorhinal cortex. Neuroscience. 1999;93:1491–1506. doi: 10.1016/S0306-4522(99)00296-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Xu B, Michalski B, Racine RJ, Fahnestock M. The effects of brain-derived neurotrophic factor (BDNF) administration on kindling induction, Trk expression and seizure-related morphological changes. Neuroscience. 2004;126:521–531. doi: 10.1016/j.neuroscience.2004.03.044. [DOI] [PubMed] [Google Scholar]
  44. Kim GW, Kim HJ, Cho KJ, Kim HW, Cho YJ, Lee BI. The role of MMP-9 in integrin-mediated hippocampal cell death after pilocarpine-induced status epilepticus. Neurobiol Dis. 2009;36:169–180. doi: 10.1016/j.nbd.2009.07.008. [DOI] [PubMed] [Google Scholar]
  45. Takacs E, Nyilas R, Szepesi Z, Baracskay P, Karlsen B, Rosvold T, Bjorkum AA, Czurko A, Kovacs Z, Kekesi AK, Juhasz G. Matrix metalloproteinase-9 activity increased by two different types of epileptic seizures that do not induce neuronal death: a possible role in homeostatic synaptic plasticity. Neurochem Int. 2010;56:799–809. doi: 10.1016/j.neuint.2010.03.003. [DOI] [PubMed] [Google Scholar]
  46. Paul R, Lorenzl S, Koedel U, Sporer B, Vogel U, Frosch M, Pfister HW. Matrix metalloproteinases contribute to the blood–brain barrier disruption during bacterial meningitis. Ann Neurol. 1998;44:592–600. doi: 10.1002/ana.410440404. [DOI] [PubMed] [Google Scholar]
  47. Matsuura E, Umehara F, Hashiguchi T, Fujimoto N, Okada Y, Osame M. Marked increase of matrix metalloproteinase 9 in cerebrospinal fluid of patients with fungal or tuberculous meningoencephalitis. J Neurol Sci. 2000;173:45–52. doi: 10.1016/S0022-510X(99)00303-2. [DOI] [PubMed] [Google Scholar]
  48. Brown HC, Chau TT, Mai NT, Day NP, Sinh DX, White NJ, Hien TT, Farrar J, Turner GD. Blood–brain barrier function in cerebral malaria and CNS infections in Vietnam. Neurology. 2000;55:104–111. doi: 10.1212/WNL.55.1.104. [DOI] [PubMed] [Google Scholar]
  49. Guo M, Cox B, Mahale S, Davis W, Carranza A, Hayes K, Sprague S, Jimenez D, Ding Y. Pre-ischemic exercise reduces matrix metalloproteinase-9 expression and ameliorates blood–brain barrier dysfunction in stroke. Neuroscience. 2008;151:340–351. doi: 10.1016/j.neuroscience.2007.10.006. [DOI] [PubMed] [Google Scholar]
  50. Wang Z, Meng CJ, Shen XM, Shu Z, Ma C, Zhu GQ, Liu HX, He WC, Sun XB, Huo L. et al. Potential contribution of hypoxia-inducible factor-1alpha, aquaporin-4, and matrix metalloproteinase-9 to blood–brain barrier disruption and brain edema after experimental subarachnoid hemorrhage. J Mol Neurosci. 2012;48:273–280. doi: 10.1007/s12031-012-9769-6. [DOI] [PubMed] [Google Scholar]
  51. Fainardi E, Castellazzi M, Bellini T, Manfrinato MC, Baldi E, Casetta I, Paolino E, Granieri E, Dallocchio F. Cerebrospinal fluid and serum levels and intrathecal production of active matrix metalloproteinase-9 (MMP-9) as markers of disease activity in patients with multiple sclerosis. Mult Scler. 2006;12:294–301. doi: 10.1191/135248506ms1274oa. [DOI] [PubMed] [Google Scholar]
  52. Higashida T, Kreipke CW, Rafols JA, Peng C, Schafer S, Schafer P, Ding JY, Dornbos D 3rd, Li X, Guthikonda M. et al. The role of hypoxia-inducible factor-1alpha, aquaporin-4, and matrix metalloproteinase-9 in blood–brain barrier disruption and brain edema after traumatic brain injury. J Neurosurg. 2011;114:92–101. doi: 10.3171/2010.6.JNS10207. [DOI] [PubMed] [Google Scholar]
  53. Yin P, Yang L, Zhou HY, Sun RP. Matrix metalloproteinase-9 may be a potential therapeutic target in epilepsy. Med Hypotheses. 2011;76:184–186. doi: 10.1016/j.mehy.2010.09.013. [DOI] [PubMed] [Google Scholar]
  54. Ralay Ranaivo H, Hodge JN, Choi N, Wainwright MS. Albumin induces upregulation of matrix metalloproteinase-9 in astrocytes via MAPK and reactive oxygen species-dependent pathways. J Neuroinflammation. 2012;9:68. doi: 10.1186/1742-2094-9-68. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Silverberg J, Ginsburg D, Orman R, Amassian V, Durkin HG, Stewart M. Lymphocyte infiltration of neocortex and hippocampus after a single brief seizure in mice. Brain Behav Immun. 2010;24:263–272. doi: 10.1016/j.bbi.2009.10.006. [DOI] [PubMed] [Google Scholar]
  56. Zattoni M, Mura ML, Deprez F, Schwendener RA, Engelhardt B, Frei K, Fritschy JM. Brain infiltration of leukocytes contributes to the pathophysiology of temporal lobe epilepsy. J Neurosci. 2011;31:4037–4050. doi: 10.1523/JNEUROSCI.6210-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Fabene PF, Navarro Mora G, Martinello M, Rossi B, Merigo F, Ottoboni L, Bach S, Angiari S, Benati D, Chakir A. et al. A role for leukocyte-endothelial adhesion mechanisms in epilepsy. Nat Med. 2008;14:1377–1383. doi: 10.1038/nm.1878. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Fabene PF, Laudanna C, Constantin G. Leukocyte trafficking mechanisms in epilepsy. Mol Immunol. 2013;55:100–104. doi: 10.1016/j.molimm.2012.12.009. [DOI] [PubMed] [Google Scholar]
  59. Takahashi Y, Imai K, Ikeda H, Kubota Y, Yamazaki E, Susa F. Open study of pranlukast add-on therapy in intractable partial epilepsy. Brain Dev. 2013;35:236–244. doi: 10.1016/j.braindev.2012.04.001. [DOI] [PubMed] [Google Scholar]
  60. Wang Z, Leng Y, Tsai LK, Leeds P, Chuang DM. Valproic acid attenuates blood–brain barrier disruption in a rat model of transient focal cerebral ischemia: the roles of HDAC and MMP-9 inhibition. J Cereb Blood Flow Metab. 2011;31:52–57. doi: 10.1038/jcbfm.2010.195. [DOI] [PMC free article] [PubMed] [Google Scholar]

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