Abstract
Autosomal dominant lateral temporal epilepsy (ADLTE) is an inherited syndrome caused by mutations in the leucine-rich glioma inactivated 1 (LGI1) gene. It is known that glutamatergic transmission is altered in LGI1 mutant mice, and seizures can be reduced by restoring LGI1 function. Yet, the mechanism underlying ADLTE is unclear. Here, we propose that seizures in male LGI1−/− mice are due to nonsynaptic epileptiform activity in cortical neurons. We examined the intrinsic excitability of pyramidal neurons in the temporal cortex of male LGI1−/− mice and found that the voltage-gated K+ channel Kv1.2 was significantly downregulated. We also found that cytosolic phospholipase A2 (cPLA2)-cyclooxygenase 2 (Cox2) signaling was enhanced in LGI1−/− mice. Interestingly, Cox2 inhibition effectively restored the dysregulated Kv1.2 and reduced the intrinsic excitability of pyramidal neurons. Moreover, in vivo injection of celecoxib, an FDA-approved nonsteroidal anti-inflammatory drug, rescued the defective Kv1.2 (an ∼1.9-fold increase), thereby alleviating the seizure susceptibility and extending the life of LGI1−/− mice by 5 d. In summary, we conclude that LGI1 deficiency dysregulates cPLA2-Cox2 signaling to cause hyperexcitability of cortical pyramidal neurons, and celecoxib is a potential agent to manage human ADLTE.
SIGNIFICANCE STATEMENT Haploinsufficiency of the leucine-rich glioma inactivated 1 (LGI1) gene is the major pathogenic basis for ADLTE, an inherited syndrome with no cure to date. Existing studies suggest that altered glutamatergic transmission in the hippocampus causes this disease, but the data are paradoxical. We demonstrate that the loss of LGI1 decreases Kv1.2 expression, enhances intrinsic excitability, and thereby causes epilepsy. Interestingly, for the first time, we show that an FDA-approved drug, celecoxib, rescues the Kv1.2 defect and alleviates seizure susceptibility in LGI1−/− mice, as well as improving their survival. Thus, we suggest that celecoxib is a promising drug for the treatment of ADLTE patients.
Keywords: ADLTE, celecoxib, Cox2, epilepsy, Kv1.2
Introduction
Autosomal dominant lateral temporal epilepsy (ADLTE, also known as autosomal dominant epilepsy with auditory features) is an inherited syndrome characterized by the onset of temporal cortical seizures in adolescence or early adulthood (Ottman et al., 1995) in the absence of structural abnormalities by MRI (Michelucci et al., 2003). ADLTE seizures occur at a low frequency (1–2 per month) and usually during sleep (Michelucci et al., 2003, 2007). Aphasia and visual hallucinations are reported in a minority of patients, either alone or accompanying auditory symptoms (Michelucci et al., 2003, 2007). Haploinsufficiency of the leucine-rich glioma-inactivated 1 (LGI1) gene is the major pathogenic basis for human ADLTE (Kalachikov et al., 2002; Senechal et al., 2005; Fukata et al., 2006). Homozygous LGI1−/− mice display generalized seizures and premature death (Chabrol et al., 2010; Fukata et al., 2010; Yu et al., 2010), whereas heterozygous LGI1+/− mice display increased seizure susceptibility to acoustic stimuli (Chabrol et al., 2010) and the convulsant agent pentylenetetrazole (PTZ) (Fukata et al., 2010).
Several functions of LGI1 in the CNS have been demonstrated: (1) inhibiting the inactivation of the presynaptic K+ channel Kv1 (Schulte et al., 2006); (2) regulating the pruning of glutamatergic synapses in the hippocampus (Zhou et al., 2009) through interaction with ADAM (a disintegrin and metalloproteinase) (Fukata et al., 2006, 2010; Ohkawa et al., 2013); (3) increasing neuronal growth through an interaction with Nogo receptors (Thomas et al., 2010); and (4) causing subtle cortical dyslamination (Silva et al., 2015) and reduced thickness of the external granule layer with abnormal foliation in the embryonic cerebellum (Xie et al., 2015). Using conditional lines, Boillot et al. (2014) demonstrated that glutamatergic neurons contribute to the seizure phenotypes in LGI1−/− mice. Similarly, two independent studies have suggested that altered glutamatergic transmission is the pathologic basis for the seizure phenotypes in LGI1−/− mice (Fukata et al., 2010; Yu et al., 2010).
However, how LGI1 deficiency leads to seizures remains unclear. In LGI1−/− mice, Yu et al. (2010) showed enhanced glutamate transmission in the hippocampus, but Fukata et al. (2010) suggested that it is reduced. While this discrepancy may be due to knock-out strategies, it is possible that hippocampal synaptic transmission is not the decisive factor in ADLTE. Indeed, increased epileptic discharges are evident characteristics of ADLTE patients with LGI1 mutations (Ottman et al., 1995; Michelucci et al., 2009). Here, we set out to investigate the intrinsic excitability of pyramidal neurons in the temporal lobe cortex of LGI1−/− mice and the effects of celecoxib.
Materials and Methods
Animals.
The animal experiments were approved by the Animal Experimentation Ethics Committee of Zhejiang University. Wild-type (WT) and LGI1−/− mice were maintained at the Experimental Animal Center of Zhejiang University and kept in temperature-controlled conditions under a 12:12 h light/dark cycle with food and water ad libitum. Male mice were used in all experiments.
Antibodies and reagents.
Antibodies against Kv1.2 (#K14/16), Kv1.4 (#K13/31), Kv1.6 (#K19/36), Nav1.1 (#K74/71), Nav1.2 (#K69/3), and Nav1.6 (#K87a/10) were from NeuroMab. Antibodies against PSD95 (#MAB1596), synaptophysin (#MAB368), and GAPDH (#MAB374) were from Millipore. TsTα, atropine, and antibodies against LGI1 (#ab30868) and Cox2 (#ab15191) were from Abcam. Antibodies against Cox1 (#sc-1754), 12-lipoxygenase (#sc-32939), and 15-lipoxygenase (#sc-133085) were from Santa Cruz Biotechnology. Antibodies against 5-lipoxygenase (#3289), cPLA2 (#5249), and pcPLA2 (#2831s) were from Cell Signaling Technology. HRP-conjugated secondary antibody was from GE Healthcare. Antirabbit and antimouse secondary antibodies for Western blots were from Thermo Scientific. AlexaFluor-conjugated secondary antibodies were from Invitrogen. The protease inhibitor was from Merck Chemicals. Other reagents were from Sigma-Aldrich unless stated otherwise.
PTZ-induced seizures and scoring.
Seizures were measured in 35 d-old (P35) mice injected with PTZ at 45 mg/kg (i.p.). The behavior and seizure activity were observed and scored by investigators who were blinded to the genotype throughout the experiments. Seizures were scored for 30 min after injection as follows (Ferraro et al., 1999): 1, hypoactivity (abdomen in full contact with the bottom of the cage in the resting position); 2, focal clonus (of face, head, or forelimbs); 3, generalized clonus (rearing, falling, and clonus of four limbs and tail); 4, clonic (tonic seizure, tonic hindlimb extension, or death).
Animal surgery.
On P12 (9–10 g) and P28 (18–20 g), mice were deeply anesthetized with pentobarbital (30 mg/kg) and placed in a stereotaxic apparatus (Stoelting). EEG recording electrodes (#795500, A. M. Systems), which were made of twisted stainless-steel wire (diameter: 0.125 mm) fully insulated with Teflon, except for 0.5 mm at the tip, were implanted into the motor cortex (bregma: anteroposterior, −2.0 mm; mediolateral, ±2.0 mm; dorsoventral, −1.5 mm) according to the mouse atlas (Franklin and Paxinos, 2001). Two screws were placed in the skull over the cerebellum to serve as the reference and ground electrodes and to secure the dental cement (Wang et al., 2017). The maximal tip separation between recording and reference electrodes was 0.5 mm. Electrode locations were histologically verified after the behavioral studies.
EEG recording.
After complete recovery from surgery, the implanted animals were placed in a round transparent cage and allowed to move freely. A recording system was connected to the mice (Chabrol et al., 2010); then the EEGs were bandpass filtered spanning DC to 200 Hz and sampled at 2 kHz using an amplifier (Neuroscan System). EEG recordings were limited to 4–5 h per day and repeated daily until the death of each mouse. For PTZ-induced seizures, EEG recordings were continued for 30 min after PTZ injection.
Primary neuronal culture.
Primary neuronal cultures were made according to previous work (Wang et al., 2015). In brief, cortices were dissected from embryonic mice (E16). Dissociated neurons were plated and cultured in Neurobasal medium supplemented with 2% B-27 and 2 mm l-alanyl-glutamine (NM). At 48 h after plating, the primary cultures were treated with 2.5 μm cytosine arabinoside for 24 h and the medium was replaced with fresh NM. Cultures were maintained at 37°C in a humidified incubator gassed with 95% O2 and 5% CO2. The medium was renewed every 3 d.
Isolation of synaptic fraction.
Brain tissues were homogenized in SHEEP buffer (in mm as follows: 380 sucrose, 4 HEPES, pH 7.5, 0.1 EDTA, and 0.1 EGTA) supplemented with protease inhibitors (Merck Chemicals) and centrifuged at 800 × g (4°C for 15 min). The supernatant was then centrifuged at 9200 × g (4°C for 15 min). The pellet (P2) provided the crude synaptic fraction (Fukata et al., 2010).
Western blotting.
Samples (temporal cortical tissues or cortical cultures) were rinsed with PBS and diluted in 1% SDS containing protease inhibitor mixture. After determining the protein concentration using the BCA protein assay (Bio-Rad), equal quantities of proteins were loaded and fractionated on SDS-PAGE gels, transferred to PVDF membranes (Immobilon-P, Millipore), immunoblotted with antibodies, and visualized by enhanced chemiluminescence (Pierce Biotechnology). The primary antibody dilutions were 1:1000 for LGI1; 1:500 for Cox2, Cox1, 5-, 12-, and 15-lipoxygenase, cPLA2, pcPLA2, and Kv1.2; 1:200 for Kv1.4, Kv1.6, Nav1.1, Nav1.2, and Nav1.6; and 1:10,000 for PSD95, synaptophysin, and GAPDH. The secondary antibodies were antirabbit (1:10,000) and antimouse (1:10,000). Film signals were digitally scanned and protein levels were quantified by measuring the integrated optical densities of the bands after background subtraction using ImageJ, version 1.42q (National Institutes of Health) according to our previous work (Wang et al., 2015; Xie et al., 2015; Zhou et al., 2015, 2017). GAPDH immunoreactivity was set as the loading control in each experiment, and all data were normalized to corresponding GAPDH.
Immunohistochemistry.
Sagittal cortical sections (30 μm) were prepared and placed in blocking solution (1% BSA, 0.3% Triton, 10% normal goat serum) for 1 h at room temperature. After washing with PBS, the sections were incubated with primary antibodies overnight at 4°C and then with secondary antibody for 1 h at room temperature. The sections were then mounted using ProLong Gold Antifade Reagent with DAPI (Invitrogen). The primary antibody dilution was 1:200 for Cox2. AlexaFluor 488-conjugated goat antirabbit IgG was diluted at 1:1000. All antibodies were diluted in PBS containing 1% BSA and 1% normal goat serum.
RNA preparation and real-time PCR.
mRNA levels were assessed by real-time PCR using an ABI PRISM 7500 sequence detection system (Applied Biosystems). cDNA was synthesized by reverse transcription using oligo (dT) as the primer and proceeded to real-time PCR with gene-specific primers in the presence of SYBR Premix Ex Taq (DRR041A, Takara Biotechnology). Quantification was determined by the comparative cycle threshold (Ct) method, using GAPDH as the internal control. The following forward (F) and reverse (R) primers were used to amplify: Cox2-F, 5′-GTG CTG ACA TCC AGA TC-3′, Cox2-R, 5′-GAG TTG GGC AGT CAT CTG C-3′; GAPDH-F, 5′-TGT TAC CAA CTG GGA CGA CA-3′, GAPDH-R, 5′-AAG GAA GGC TGG AAA AGA GC-3′.
Cox2 activity assay.
Cox2 activity was assayed according to the manufacturer's instructions (Cayman Chemical). Temporal cortical tissues were homogenized in 2 ml/g tissue cold buffer (0.1 m Tris-HCl, pH 7.8; containing 1 mm EDTA), and centrifuged at 10,000 × g for 15 min at 4°C. The supernatant was then used for activity assays following the manufacturer's instructions, and the absorbance at 590 nm was read using a plate reader.
Slice preparation.
Coronal slices of temporal or prefrontal cortex (300 μm) from P14-P17 mice were cut in ice-cold aCSF (in mm as follows: 125 NaCl, 3 KCl, 1.25 NaH2PO4, 2 MgSO4, 2 CaCl2, 25 NaHCO3, 10 glucose) on a vibrating tissue slicer (VT 1000S, Leica). After recovery for 30 min at 37°C, the slices were incubated at room temperature for 60 min and then transferred to the recording chamber and superfused (at 2 ml/min) with aCSF at room temperature. All solutions were saturated with 95% O2/5% CO2.
Electrophysiology.
Neurons were visualized under an upright microscope (BX51, Olympus) with a 40× water-immersion objective and equipped with infrared differential interference contrast enhancement. Whole-cell recordings were obtained with an Axon MultiClamp 700B amplifier (Molecular Devices). Glass pipettes (3–5 mΩ) were filled with a solution containing the following (in mm): 120 K-gluconate, 20 KCl, 10 HEPES, 2 MgCl2, 10 Na-phosphocreatine, 4 Mg-ATP, 0.3 Na-GTP, 0.1 EGTA (pH 7.3 with KOH, 290 mOsm). Currents were filtered at 2 kHz and digitized at 10 kHz. Recordings were excluded from analysis if series resistance, input resistance, or holding current varied by ≥15% over the course of an experiment. All electrophysiological experiments were performed at room temperature.
Pyramidal neurons were identified by their prominent apical dendrites and adaptive firing. G42 mutant mice (Li et al., 2011) that express enhanced green fluorescent protein in parvalbumin interneurons were crossed with LGI1+/− mice when interneuron recordings were required. The measurement of action potential and K+ currents was as described previously (Dodson et al., 2002; Wen et al., 2010; Li et al., 2011; Gasselin et al., 2015). Passive neuronal properties were measured from single action potentials. The voltage threshold was defined as dV/dt = 10 mV/ms. The threshold voltage for an action potential (rheobase) was defined as the minimum depolarizing current needed to elicit an action potential, and measured just before action potential initiation. Spike amplitude was measured as the voltage difference between the peak and resting potential and spike width was determined at half the spike amplitude. Interspike interval (ISI) was calculated as the average time between sequential spikes in response to a 300 ms suprathreshold current (200 pA). The input–output relationship between injected currents and spikes was also determined when cells received a series of currents ranging from 30 to 200 pA with a duration of 800 ms. To measure K+ currents, TTX (1 μm) and CdCl2 (100 μm) were added to the aCSF to block Na+ and Ca2+ channels and a series of voltage pulses (500 ms) from −80 mV to 60 mV were applied under the voltage-clamp configuration. Kv1.2 currents are measured in the steady state (Dodson et al., 2002). The inactivation curves were constructed from peak currents after conversion to conductance, assuming a K+ reversal potential of −85 mV in our recording conditions (Kole et al., 2007), normalized to the maximum conductance, and fitted with a single Boltzmann equation.
Experimental design and statistical analysis.
Data were analyzed using Prism 6.0 (GraphPad Software), Excel 2003 (Microsoft), and Igor Pro 6.0 (Wavemetrics). No statistical method was used to determine sample size. SDs for control groups were calculated from the average of all control data. To appropriately choose and justify the statistical tests, we analyzed the normality of the datasets using the Kolmogorov–Smirnov test. If a dataset from unpaired groups was considered normal, a statistical difference was determined using the two-sided Student's t test for two-group comparison or the one-way ANOVA test followed by Tukey's post hoc test for multiple comparisons. If not normal, the Mann–Whitney U test was used to determine the differences. For paired groups, a statistical difference was determined using the two-sided paired Student's t test if a dataset was considered normal. Otherwise, the paired Wilcoxon test was used to determine the differences. Survival curves were analyzed by Kaplan–Meier survival estimates using the log-rank test. The covariant correlation test was used to determine distinct effects of drugs on WT and KO mice (Rice, 2006; Huitema, 2011). To do this, linear regression lines concerning the effects of one drug on target currents or proteins derived from untreated and treated groups were first created for both genotypes using the Excel algorithm (Kleinbaum et al., 2007). Next, PASW statistics 18 software (IBM) was used to analyze the covariant correlation between the slopes of the regression lines of WT and LGI1−/− groups. To calculate the significance, the univariate-dependent GLM was selected and genotype was set as the fixed factor (Pallant, 2013). For all analyses, the accepted level of significance was p < 0.05. n indicates the number of animals or cells recorded. Data in the text and figures are presented as mean ± SD.
Results
Pyramidal neurons in temporal cortex are hyperexcitable in LGI1−/− mice
All LGI1−/− mice displayed typical seizure phenotypes after P10 and died shortly afterward (Fig. 1A) (Chabrol et al., 2010; Fukata et al., 2010; Yu et al., 2010; Silva et al., 2015; Xie et al., 2015; Yokoi et al., 2015). In ADLTE patients, auditory auras arising in the lateral temporal lobe are followed by generalized seizures (Ottman et al., 1995). Therefore, we performed whole-cell recordings in layer 2/3 pyramidal neurons of the temporal cortex from LGI1−/− and WT littermates aged P14-P17, when LGI1−/− mice suffer from epilepsy but before their death. At this stage, LGI1−/− neurons had a more hyperpolarized voltage threshold for an action potential than WT neurons (Fig. 1B,C), as indicated by the rate of change (dV/dt) of membrane potential versus membrane potential (Fig. 1D). Consistently, the minimal current eliciting an action potential (rheobase) in LGI1−/− neurons was significantly smaller than in WT neurons (Table 1). Neither the amplitude nor half-width of the action potential was different in LGI1−/− neurons (Table 1). These results indicate that LGI1 influences the generation of action potentials in pyramidal neurons. Neither the resting membrane potential nor the input resistance differed between WT and LGI1−/− neurons (Table 1). We next examined the intrinsic excitability of pyramidal neurons by injecting depolarizing currents. The ISI, which is extensively used to assess intrinsic neuronal excitability (Wen et al., 2010; Yu et al., 2010), was significantly decreased by LGI1 ablation (Fig. 1E). This result was corroborated by input–output curves (injected current vs number of spikes), which were generated for WT and LGI1−/− neurons based on previous work (Gasselin et al., 2015) (Fig. 1F). In conclusion, LGI1 ablation alters the intrinsic properties of layer 2/3 pyramidal neurons.
Table 1.
Parameter | WT (P14-P17) | KO (P14-P17) |
---|---|---|
ISI (ms) | 45.3 ± 5.6 | 37.2 ± 5.9*** |
Rheobase (pA) | 83 ± 18.8 | 70 ± 24.5*** |
RMP (mV) | −66 ± 4.7 | −65 ± 4.9 |
Input resistance (mΩ) | 151 ± 18.8 | 157 ± 19.6 |
Amplitude (mV) | 108 ± 9.4 | 110 ± 14.7 |
Half-width (ms) | 3.1 ± 0.5 | 3.0 ± 0.5 |
No. of cells (mice) | 23 (10) | 25 (11) |
***p < 0.001. KO: Lgi1−/−.
To determine whether LGI1 deletion only affects these neurons, we examined layer 5 pyramidal neurons and interneurons in the temporal cortex. We found that the excitability of layer 5 neurons was increased in LGI1−/− mice, as shown by a reduced ISI (Fig. 1G) and rheobase (Table 2). In agreement with previous work (Boillot et al., 2014), we found that interneurons were not affected by LGI1 deficiency because neither the excitability (Fig. 1H) nor the rheobase was changed in these neurons (Table 2). In addition, LGI1−/− pyramidal neurons were still hyperexcitable when picrotoxin was added to block GABAergic transmission (Fig. 1I; Table 2) or mecamylamine (MEC) and atropine were added to block cholinergic transmission (Fig. 1J; Table 2). These data indicate that neither GABAergic nor cholinergic interneurons contribute to the hyperexcitability of pyramidal neurons. Furthermore, layer 2/3 pyramidal neurons in the prefrontal cortex from LGI1−/− mice (P14-P17) also exhibited higher excitability, as shown by a reduced ISI (Fig. 1K) and rheobase (Table 2). In addition, we noted that the resting membrane potential of temporal L2/3 pyramidal neurons was more positive than that of prefrontal neurons (Tables 1, 2), suggesting that temporal neurons are more excitable than prefrontal neurons.
Table 2.
Parameter | Temporal lobe |
Prefrontal lobe |
||||||||
---|---|---|---|---|---|---|---|---|---|---|
L5 pyramidal neuron |
L2/3 parvalbumin-positive interneuron |
L2/3 pyramidal neuron + picrotoxin |
L2/3 pyramidal neuron + MEC + atropine |
L2/3 pyramidal neuron |
||||||
WT | KO | WT | KO | WT | KO | WT | KO | WT | KO | |
ISI (ms) | 64.1 ± 17.6 | 52.1 ± 11.2** | 26.5 ± 6.1 | 25.4 ± 6.5 | 40.7 ± 6.6 | 33.4 ± 4.1*** | 45.0 ± 21.4 | 36.7 ± 22.2** | 46.7 ± 12.4 | 37.0 ± 7.9** |
Rheobase (pA) | 138 ± 36 | 114 ± 23.2* | 105 ± 32.5 | 91 ± 25.3 | 122 ± 20.6 | 101 ± 20.6*** | 108 ± 21.8 | 95 ± 17.4** | 133 ± 19.4 | 99 ± 29.9*** |
RMP (mV) | −63 ± 4 | −64 ± 3.9 | −68 ± 3.6 | −66 ± 3.61 | −62 ± 4.1 | −63 ± 4.11 | −66 ± 8.7 | −64 ± 8.7 | −72 ± 3.9 | −70 ± 3.9 |
Input resistance (mΩ) | 114 ± 36 | 133 ± 27.1 | 277 ± 61.4 | 267 ± 68.6 | 146 ± 24.7 | 158 ± 20.6 | 151 ± 43.6 | 149 ± 39.2 | 160 ± 46.4 | 164 ± 29.9 |
No. of cells (mice) | 17 (7) | 16 (7) | 14 (7) | 14 (7) | 18 (5) | 18 (5) | 20 (6) | 20 (6) | 16 (6) | 15 (6) |
*p < 0.05,
**p < 0.01,
***p < 0.001, compared with corresponding WT. KO: Lgi1−/−.
Kv1.2 is downregulated in LGI1−/− mice
We next investigated how the intrinsic excitability is elevated in LGI1−/− mice. We focused on voltage-gated channels because they are critical to the initiation of the action potential and excitability. Several lines of evidence suggested that the voltage-gated Na+ channels in pyramidal neurons were unrelated to the hyperexcitability caused by LGI1 ablation: (1) the levels of the major subunits of Na+ channels, Nav1.1, Nav1.2, and Nav1.6, were unaltered at the synapses of LGI1−/− mice (P16) (Fig. 2A); (2) the amplitude of the action potential, which is determined by Na+ channels (Hille, 2001), was unchanged (Table 1); and (3) the total Na+ currents were not different in LGI1−/− mice (P14-P17) (Fig. 2B,C).
We then investigated whether LGI1 deficiency affects Kv1 channels because they regulate the action potential threshold and intrinsic excitability (Hille, 2001; Guan et al., 2006). To this end, we isolated LGI1 and Kv1.2 channels in total and synaptic fractions from temporal cortex (Fukata et al., 2010). Our data showed that Kv1.2 in both fractions was significantly reduced in LGI1−/− mice (P16), whereas Kv1.4 and Kv1.6 were unaltered (Fig. 2D). Next, we applied a series of voltage-clamp pulses to pyramidal neurons from WT and LGI1−/− mice (P14-P17) perfused with TTX-containing aCSF. Based on previous work (Dodson et al., 2002; Li et al., 2011), the steady-state currents were subtracted from the overall K+ currents when a specific Kv1.2 antagonist, TsTα, was added to the aCSF to evoke Kv1.2 currents (Fig. 2E). In WT neurons, the overall K+ currents were significantly reduced when TsTα was added, but the reduction was not significant in LGI1−/− neurons (Fig. 2F). Moreover, the amplitudes of TsTα-sensitive components (Kv1.2 currents) were significantly decreased in LGI1−/− neurons (Fig. 2G). These results indicate that LGI1 ablation inhibits Kv1.2 currents. To further elucidate the roles of LGI1, we assessed the inactivation of Kv1.2 in layer 2/3 neurons by depolarizing prepulses (Kole et al., 2007). We found that the inactivation of Kv1.2 was not affected by LGI1 ablation (Fig. 2H), as indicated by kinetics analysis (Fig. 2I).
LGI1 drives cPLA2-Cox2 signaling
The inflammatory factor Cox2 is increased in the brains of patients and animals experiencing seizures (Marcheselli and Bazan, 1996; Das et al., 2012; Rojas et al., 2014). Thus, we speculated that Cox2 dysregulation occurs in LGI1−/− mice when they develop epilepsy. So we measured the expression of LGI1 and Cox2 in temporal cortex before and after the occurrence of seizures. In agreement with previous work (Zhou et al., 2009), LGI1 expression was rather limited at birth but steadily increased afterward (Fig. 3A). Interestingly, we found that Cox2 activity was significantly enhanced in LGI1−/− mice after birth but before seizures occurred (Fig. 3B) when its expression showed no further increase (Fig. 3A), implying that LGI1 deficiency promotes Cox2 activity.
Activated cPLA2 produces arachidonic acid (AA), a substrate for Cox2, and is involved in various pathological conditions (Farooqui et al., 1997). Because cPLA2 and Cox2 are functionally coupled (Naraba et al., 1998; Scott et al., 1999; Takano et al., 2000), we investigated whether LGI1 deletion also interrupts cPLA2 signaling. Indeed, we found that phosphorylated cPLA2 (pcPLA2) was enhanced in LGI1−/− temporal cortex (P7), whereas its total expression was unchanged (Fig. 3C). Furthermore, cortical neurons from WT and LGI1−/− mice cultured for 14 d (DIV 14) were transfected with either naive control or myc-LGI1. Consistent with the in vivo study, we found higher pcPLA2 in LGI1−/− neurons than in WT neurons (Fig. 3D). Importantly, replenishing LGI1 by transfecting myc-LGI1 into both the WT and LGI1−/− groups was sufficient to attenuate the level of pcPLA2 (Fig. 3D), whereas covariance analyses showed that the effect of LGI1 was more prominent in LGI1−/− than in WT tissues (Table 4). These data demonstrate that LGI1 drives cPLA2-AA-Cox2 signaling. AA is also a substrate of other enzymes, such as Cox1 and lipoxygenase (O'Banion, 1999). We therefore determined whether LGI1 deletion leads to abnormal Cox1 and lipoxygenase signaling. Against this assumption, the levels of Cox1 and all three isoforms of lipoxygenase (5-, 12-, and 15-lipoxygenase) were the same in LGI1−/− and WT mice (Fig. 3E).
Table 4.
Drugs/proteins | On target (figure) | Regression lines |
Significance (p) | |
---|---|---|---|---|
WT | KO | |||
LGI1 | pcPLA2 (Fig. 3D) | y = −89.8x + 269 | y = −43.5x + 142 | 0.046* |
NS398 | K+ current at + 40 mV (Fig. 4C) | y = −109.1x + 1166.8 | y = −228.9x + 223.8 | 0.049* |
NS398 | Synaptic Kv1.2 (Fig. 4D) | y = −x + 101 | y = 43x − 6.2 | 0.0001*** |
NDGA | ISI (Fig. 4F) | y = 0.3x + 49.4 | y = 0.3x + 38.7 | 0.999 |
Celecoxib | ISI (Fig. 5C) | y = 1.6x + 42.9 | y = 9.9x + 27.2 | 0.032* |
Celecoxib | K+ current at + 40 mV (Fig. 5E) | y = −123.4x + 1181.1 | y = 359x + 93.7 | 0.01** |
Celecoxib | Synaptic Kv1.2 (Fig. 5F) | y = −0.8x + 100.3 | y = 64x − 50.2 | 0.0001*** |
Celecoxib | Synaptic Cox2 (Fig. 5F) | y = 3.5x + 97.3 | y = −1158.5x − 899 | 0.0001*** |
*p < 0.05,
**p < 0.01,
***p < 0.001, slopes of regression lines compared between WT and LGI1−/− (KO).
Cox2 inhibition recovers Kv1.2 channels in LGI1−/− mice
The coincident changes of Cox2 and Kv1.2 by LGI1 deletion encouraged us to investigate whether Cox2 suppression can restore Kv1.2 currents and neuronal excitability. Our experiments showed that Cox2 activity was suppressed by its selective inhibitor, NS398, with a saturation concentration of 20 μm (Fig. 4A). Then, spikes were induced in layer 2/3 pyramidal neurons when slices were perfused with aCSF containing DMSO or NS398 (20 μm). We found that the ISI was significantly increased in the LGI1−/− group after 60 min NS398 exposure (Fig. 4B; Table 3). Meanwhile, the rheobase of LGI1−/− neurons was almost restored to normal by NS398 (Table 3). Next, voltage-clamp pulses were applied to these neurons when TsTα plus DMSO or NS398 were added to the bath. Kv1.2 currents were unchanged by treatment with either DMSO or NS398 in WT neurons, but they were significantly restored in LGI1−/− neurons perfused with NS398 (Fig. 4C). Moreover, covariance correlation tests showed that the effect of NS398 was stronger in KO neurons than in WT neurons (Table 4). Meanwhile, the resting membrane potential was more hyperpolarized after NS398 treatment (Table 3).
Table 3.
Parameter | WT (P14-P17) |
KO (P14-P17) |
||||||
---|---|---|---|---|---|---|---|---|
DMSO |
NS398 |
DMSO |
NS398 |
|||||
0 min | 60 min | 0 min | 60 min | 0 min | 60 min | 0 min | 60 min | |
ISI (ms) | 46.7 ± 7.5 | 45.0 ± 6.5 | 44.5 ± 19.6 | 48.0 ± 14.2 | 32.9 ± 6.2 | 32.5 ± 4.9 | 33.4 ± 8.9 | 43.3 ± 25.6* |
Rheobase (pA) | 85 ± 20 | 85 ± 40 | 86 ± 25 | 85 ± 29 | 71 ± 24.7 | 72 ± 37 | −73.8 ± 17 | 80 ± 22** |
RMP (mV) | −65 ± 10 | −66 ± 5 | −65 ± 15 | −67 ± 15 | −64 ± 12 | −63 ± 12 | −64 ± 6 | −69 ± 11* |
Input resistance (mΩ) | 166 ± 15 | 171 ± 20 | 172 ± 15 | 171 ± 15 | 172 ± 25 | 171 ± 25 | 170 ± 33 | 172 ± 39 |
No. of cells (mice) | 26 (5) | 26 (5) | 25 (5) | 25 (5) | 39 (6) | 39 (6) | 32 (5) | 32 (5) |
*p < 0.05,
**p < 0.01, compared with KO + NS398 + 0 min. KO: LGI1−/−.
To confirm the electrophysiological recordings, cortical slices were treated with NS398 and the expression of Kv1.2 was measured at different time points. In slices from WT mice (P16), NS398 did not affect Kv1.2 expression (Fig. 4D). In slices from LGI1−/− mice (P16), synaptic Kv1.2 progressively increased while the total did not change (Fig. 4D). Correlation tests showed that LGI1-knock-out affected the synaptic expression of Kv1.2 more markedly in KO neurons than in WT neurons (Table 4). To determine the synergistic effects of Cox2 and cPLA2 on Kv1.2, we treated cultured WT cortical neurons (DIV 14) with AA and NS398 individually or together for 48 h, and found that AA markedly reduced Kv1.2 expression whereas this was robustly reversed by NS398 (Fig. 4E). These results suggest that Cox2 and cPLA2 work together to control synaptic Kv1.2.
We also investigated whether an inhibitor of lipoxygenase changes neuronal excitability. Spikes were induced in layer 2/3 pyramidal neurons from WT and LGI1−/− mice when slices were perfused with nordihydroguaiaretic acid (NDGA; 50 μm), an inhibitor of lipoxygenase, for 60 min. Likewise, NDGA was unable to change the ISI and rheobase in either preparation (Fig. 4F; Table 5). This result was also corroborated by correlation test showing that the NDGA effect did not differ between WT and LGI1−/− neurons (Table 4). Combined with the results shown in Figure 3E, these data indicate that lipoxygenase does not contribute to the abnormal neuronal excitability induced by LGI1 deletion.
Table 5.
Parameter | WT (P14-P17) |
KO (P14-P17) |
||
---|---|---|---|---|
Saline | NDGA | Saline | NDGA | |
ISI (ms) | 49.7 ± 11.2 | 50.1 ± 11.5 | 39.1 ± 7.9 | 39.4 ± 9.2 |
Rheobase (pA) | 130 ± 32 | 129 ± 28 | 100 ± 34 | 91 ± 41 |
RMP (mV) | −67 ± 4 | −64 ± 5 | −64 ± 6 | −63 ± 5 |
Input resistance (MΩ) | 141 ± 28 | 146 ± 32 | 147 ± 28 | 152 ± 36 |
No. of cells (mice) | 17 (5) | 22 (5) | 33 (7) | 27 (5) |
KO: LGI1−/−.
Celecoxib decreases Cox2 expression and rescues the Kv1.2 defect in LGI1−/− mice
Because NS398 reverses Kv1.2 expression and neuronal hyperexcitability, we investigated whether these effects in LGI1−/− mice can be reproduced pharmacologically in vivo. Celecoxib, a selective Cox2 inhibitor, has been approved by the FDA to treat osteoarthritis (Zeng et al., 2015), rheumatoid arthritis (Lipsky and Isakson, 1997), and menstrual symptoms (Edelman et al., 2013). So, celecoxib was injected intraperitoneally into LGI1−/− mice daily from P7 until death (Fig. 5A). The dose–response curve of celecoxib (1–200 mg/kg) showed a near saturation effect at 10 mg/kg in LGI1−/− mice (P16) (Fig. 5B). At 10 mg/kg, celecoxib significantly increased the ISI in LGI1−/− neurons but had no effect on WT neurons (Fig. 5C). The covariant correlation tests showed that celecoxib effects were irrelevant between WT and LGI1−/− neurons (Table 4). The rheobase for the action potential in LGI1−/− neurons also significantly increased (Table 6). These data indicate that celecoxib decreases neuronal excitability in LGI1−/− mice. We further found that celecoxib effectively restored Kv1.2 currents in LGI1−/− pyramidal neurons (Fig. 5D,E), suggesting that celecoxib rescues Kv1.2 channels. Correlation tests indicated that LGI1-knock-out affected Kv1.2 currents more strongly in LGI1−/− than in WT neurons (Table 4). These recordings were corroborated by Kv1.2 and Cox2 expression in LGI1−/− mice (P16) treated with celecoxib, showing that Cox2 was reduced and Kv1.2 was increased (Fig. 5F). Cox2 staining was also significantly reduced in LGI1−/− mice treated with celecoxib (Fig. 5G). Moreover, the level of Cox2 mRNA was increased in LGI1−/− mice (P16) but was reduced after they were treated with celecoxib, showing that the normalized changes of Cox2 mRNA were 2.6 ± 1.2-fold (n = 5) in the LGI1−/−+saline group and 1.4 ± 0.6-fold (n = 5) in the LGI1−/−+celecoxib group (p < 0.01). Covariant correlation tests indicated that LGI1 deficiency had more prominent effects on the synaptic expression of Kv1.2 and Cox2 in LGI1−/− than in WT tissues (Table 4). These results demonstrate that celecoxib decreases Cox2 expression and restores Kv1.2 in LGI1−/− mice.
Table 6.
Parameter | WT (P16) |
KO (P16) |
||
---|---|---|---|---|
Saline | Celecoxib | Saline | Celecoxib | |
ISI (ms) | 44.5 ± 8.5 | 46.1 ± 9.2 | 37.7 ± 6.5 | 44.3 ± 6.1** |
Rheobase (pA) | 117 ± 22 | 115 ± 23 | 94 ± 15 | 116 ± 23** |
RMP (mV) | −66 ± 4 | −66 ± 5 | −65 ± 5 | −67 ± 5 |
Input resistance (MΩ) | 153 ± 18 | 155 ± 18 | 156 ± 20 | 154 ± 19 |
No. of cells (mice) | 21 (5) | 22 (5) | 26 (5) | 23 (5) |
**p < 0.01 compared with KO + saline. KO: LGI1−/−.
Celecoxib alleviates seizure susceptibility and extends the life of LGI1−/− mice
Given that celecoxib rescues neuronal hyperexcitability, a core question is whether the seizure phenotype can be ameliorated and the lifespan prolonged in LGI1−/− mice. We recorded EEG in the cerebral cortex and evaluated the behavioral seizures in mice (P14-P22) (Chabrol et al., 2010; Fukata et al., 2010). The traces from WT mice were relatively smooth without detectable epileptic activity (Fig. 6A). In contrast, recurrent spontaneous seizures were detected in all LGI1−/− mice when recorded at P14 or P15 (Table 7). Typically, the epileptic activity was relatively fast (70–100 Hz) but with a low voltage (Fig. 6A), corresponding to the increased frequency and unchanged amplitude of spikes in pyramidal neurons. The seizures lasted for 59.1 ± 22.4 s (n = 42) and finally ended following flattened EEG activity (Fig. 6A). Celecoxib inhibition significantly delayed the occurrence of epileptic seizures in LGI1−/− mice (Fig. 6A). The seizures, unfortunately, recurred in the celecoxib-treated LGI1−/− mice at later stages (P20) (Table 7). All LGI1−/− mice died prematurely after an average of 16.0 ± 1.7 d (n = 35) (Fig. 6B,C). In contrast, all celecoxib-treated LGI1−/− mice survived beyond this period (21.1 ± 2.2 d; n = 20; Fig. 6C; Table 7). Because LGI1+/− mice also display increased seizure susceptibility to PTZ (Fukata et al., 2010), we continued to examine PTZ-induced seizure susceptibility in LGI1+/− mice (P35) with or without celecoxib treatment. PTZ injection (45 mg/kg i.p.) induced either no response or myoclonic jerks in different groups to different degrees within 30 min, corresponding to scores 1–4 (Ferraro et al., 1999). Consistent with previous work (Fukata et al., 2010), seizure severity was significantly higher in LGI1+/− mice, as shown by more frequent generalized seizures (Fig. 6D) and higher seizure scores (Fig. 6E). Most LGI1+/− mice displayed Stage 3 or 4, whereas most WT mice were at Stage 1 or 2 (Fig. 6F). Celecoxib inhibition greatly decreased the susceptibility to PTZ, as shown by less frequent generalized seizures (Fig. 6D) and lower seizure scores and stages (Fig. 6E,F). In summary, celecoxib alleviates seizure susceptibility and extends the lifespan of LGI1−/− mice.
Table 7.
Mouse condition | No. of mice with seizures (total n) | No. of seizures | Age range of recordings (days) | Age range at seizure onset (days) | Frequency range of seizures (/h) | Mean seizure duration (s) |
---|---|---|---|---|---|---|
LGI1−/− | 5 (5) | 42 | 14–18 | 14–15 | 0.25–1 | 59.1 ± 22.4 |
LGI1−/− + celecoxib | 4 (4) | 25 | 14–23 | 19–20 | 0.25–0.75 | 43.5 ± 9.3 |
Discussion
Here, we elucidated the hyperexcitability of temporal cortical pyramidal neurons in LGI1−/− mice. Loss of LGI1 decreased the expression of Kv1.2, enhanced the intrinsic excitability, and caused epilepsy, which might be mediated by altered cPLA2-Cox2 signaling. Importantly, we showed that celecoxib was sufficient to recover the defective Kv1.2 in pyramidal neurons and thereby decrease neuronal excitability. Accordingly, we suggest that celecoxib treatment is a promising approach to managing ADLTE.
We found that the intrinsic excitability was increased in temporal and prefrontal cortical neurons in LGI1−/− mice, consistent with recent work showing that LGI1 modulates intrinsic excitability through Kv1 channels (Seagar et al., 2017). Therefore, we propose that seizures in LGI1−/− mice are due, at least partly, to epileptiform activity in cortical neurons. Indeed, it has been shown that nonsynaptic mechanisms play critical roles in modulating the epileptogenicity in patients suffering from temporal lobe epilepsy (Haglund and Hochman, 2005). 4-Phenylbutyrate (4PBA), a chemical corrector that acts on synaptic transmission, slightly improves the lifetime of LGI1−/−; Lgi1E383A mice but has no effect on the survival of Lgi1−/− mice (Yokoi et al., 2015). This suggests that 4PBA may not be an effective drug for many ADLTE families because heterozygous mutations account for up to 50% of the cases of this disease (Kalachikov et al., 2002; Senechal et al., 2005; Fukata et al., 2006). Compared with 4PBA, celecoxib has two advantages: (1) it is effective on LGI1−/− and LGI1+/− mice, implying that it might be effective on at least 34 LGI1 mutations that have been reported (Nobile et al., 2009; Ho et al., 2012); and (2) it is an FDA-approved drug for chronic diseases, indicating that it is more suitable for clinic trials than 4PBA. Unfortunately, with the present protocol, celecoxib did not eliminate the epilepsy in LGI1−/− mice. Nevertheless, it should be noted that the seizure phenotype is much more severe in LGI1−/− mice than in ADLTE patients, implying that celecoxib may be more effective in patients. It is worth determining whether improved protocols for celecoxib treatment are more effective in eradicating the epilepsy phenotypes of ADLTE patients.
We found that LGI1 deletion results in the dysregulation of cPLA2-Cox2 signaling, providing a new insight onto LGI1 functions in ADLTE. We showed that cPLA2 phosphorylation and Cox2 activity were enhanced in LGI1−/− mice before the occurrence of seizures, whereas Cox1 and lipoxygenase were not affected (Fig. 3). Moreover, expressing LGI1 in cultured LGI1−/− neurons reduced the phosphorylation of cPLA2 (Fig. 3D). Previous work has shown that cPLA2 and Cox2 are enriched in punctate intracellular regions (Breder et al., 1995; Pardue et al., 2003), establishing a physical basis for their interactions.
We propose that LGI1 deletion enhances cPLA2-Cox2 signaling and thereby decreases Kv1.2 expression, which was demonstrated by multiple lines of evidence (Figs. 2–4). For example, Cox2 inhibition increased, but AA stimulation attenuated, the expression of Kv1.2 (Fig. 4E). Still, it should be noted that how Cox2 inhibition modulates Kv1.2 expression remains to be determined. We speculate that downstream effectors of Cox2, such as prostaglandin E2 and its receptor EP2, may be involved in Kv1.2 modulation. Indeed, to date, little is known about how Cox2 signaling modulates membrane channels, although limited studies from cultured smooth muscle cells (Fan et al., 2011) and cerebellar granule cells (He et al., 2013) imply that there may be a synergism or an integration between prostaglandin E2 receptors and voltage-gated channels.
Because Cox2 is increased in the brains of animals and patients experiencing seizures (Yamagata et al., 1993; Serrano et al., 2011; Rojas et al., 2014), many studies have used Cox2 inhibitors to rescue seizures in kindled animals. However, no consensus has been reached. For example, Cox2 inhibitors increase the threshold for PTZ-induced seizures (Akula et al., 2008) and mice treated with them perform better in cognitive tasks (Gobbo and O'Mara, 2004), whereas others have found that Cox2 inhibition or ablation has no effect on the seizures or neuronal survival induced by pilocarpine (Serrano et al., 2011), PTZ (Oliveira et al., 2008; Claycomb et al., 2011), kainic acid (Kunz and Oliw, 2001), or amygdala kindling (Fischborn et al., 2010), and it even intensifies seizures under certain conditions (Baik et al., 1999). We speculate that this controversy may be due to the complex nature of kindled epilepsies, in which multiple factors play roles and Cox2 may not be the decisive one. ADLTE, however, is an autonomous epilepsy, distinct from kindled epilepsies that are affected by the chemicals used for kindling. This discrepancy may explain why chronic inhibition of Cox2 was sufficient to rescue the seizure phenotypes in LGI1−/− mice. In addition, discrepant actions of Cox2 inhibitors have been reported. NS398, but not celecoxib, has potent inhibitory effects on ureteral spasms (Lee et al., 2010). In PC12 cells, celecoxib inhibits L-type Ca2+ channels independent of Cox2 (Zhang et al., 2007). Celecoxib also modulates Kv7 currents in different manners in lineage cells (Du et al., 2011). Although these findings suggest a Cox2-independent action of celecoxib, our data argue that celecoxib regulates Kv1.2 by inhibiting Cox2 because Kv1.2 restoration was acquired by NS398 application (Fig. 4).
Celecoxib is prescribed for osteoarthritis, rheumatoid arthritis, pain, inflammatory diseases, and adenomatous polyposis (Lipsky and Isakson, 1997; Steinbach et al., 2000; Crofford, 2002; Edelman et al., 2013; Zeng et al., 2015). In this study, we demonstrated that celecoxib is a promising agent for intervention therapy for ADLTE, as it partly but significantly suppressed epileptogenic activity and extended the lifetime of LGI1−/− mice. The efficient therapeutic activity in ameliorating seizure susceptibility makes celecoxib a promising long-term treatment to reduce the risk of seizures in family members carrying an LGI1 mutation. Data from clinical trials to evaluate the actions of celecoxib in antiepileptogenic activity is eagerly awaited.
Footnotes
This work was supported by National Natural Science Foundation of China Grants 81625006, 31471024, and 31571051, and Natural Science Foundation of Zhejiang Province Grant Z15C090001. The generation of LGI1-null mice was supported by National Institutes of Health Grant CA046706 to J.K.C. We thank Dr. Z. Josh Huang (Cold Spring Harbor Laboratory, New York) for providing the G42 mutant mice, the Core Facilities of Zhejiang University Institute of Neuroscience for technical assistance, Dr. Zhouyan Feng (Zhejiang University School of Biomedical Engineering, Hangzhou, China) for the suggestions in statistics, and Dr. Iain C. Bruce for reading the manuscript.
The authors declare no competing financial interests.
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