Yijen Wu1, Patrice S Pearce2, Amedeo Rapuano3, Kevin Kelly2, Nihal de Lanerolle3, and Jullie W Pan4
1Developmental Biology, University of Pittsburgh, Pittsburgh, PA, United States, 2Pittsburgh, PA, United States, 3New Haven, CT, United States, 4University of Pittsburgh, Pittsburgh, PA, United States
Synopsis
MR spectroscopy in a variable rat status epilepticus (kainate induced) model of epilepsy is shown to segregate between mildly and severely injured animals. As measured 3days after status epilepticus, animals with NAA/tCr values of less than 1.0 (kainate more injured, KMI) segregated with greater increases in Inositol/tCr, Glutamine/tCr and Lac/tCr, with these changes predicting the metabolic measured 3weeks after status. Although Inositol/tCr was elevated in the kainate less injured KLI group, the KLI group showed milder changes at 3days and at 3weeks. This metabolic classification was also sustained into histologic studies.Introduction
Several models
of epilepsy based on chemoconvulsant exposure or electrical stimulation use a
lengthy seizure period, which after a variable latent period of 1 to 3weeks,
results in spontaneous recurrent seizures. However it is known that the
specific duration of the status epilepticus is an important factor, with seizures
lasting longer than 40-50min causing discrete differences in pathology and gene
expression (1). In this report we implement
a short seizure model of rat epilepsy (2) and find spectroscopic changes that
predict subsequent histology and metabolism.
Methods
A short variant of the rat Hellier-Dudek (3) intraperitoneally injected
kainate (KA) model of temporal lobe epilepsy was used. After initiation of a
stage 3/4/5 seizure, continuing status epilepticus was maintained for 45min
after which 20mg/kg diazepam was administered for recovery. Animals were then
evaluated twice by MR, 3days and 3weeks after status during the epileptogenesis
period. Controls were similarly treated with sterile saline. A Bruker Biospec
7T 40cm horizontal MR system was used with a 72mm volume transmit coil and 2
element receive array. T2 RARE was acquired for positioning of the hippocampus
(Fig.1). Over the hippocampal slice, Bolero was used for B0 shimming (3),
achieving homogeneity of 5.8±1.0Hz. Single voxel MR spectroscopy was acquired
from 8μl voxels with TR/TE 1.7s/10ms (17min per acquisition) from the left,
right dentate gyrus (DG) and CA3 regions. LCM analysis was performed for
determination of the metabolite profiles, accepting Cramer Rao limits of
<15%. A subset of animals (n=8) was sacrificed after 3weeks for histological
analysis.
Results
Fig. 1 shows the positions of the dentate
gyrus (DG), CA3 voxels and corresponding DG spectra from a single rat studied
at 3days and 3weeks. At 3days, all treated rats (n=21) showed a significant
decline in NAA/tCr, increased Ins/tCr, Gln/tCr and Lac/tCr in comparison to
control (n=10).
Given the possibility that these animals might
show substantially variable injury, we evaluated the animals using a histogram
analysis with the 3day DG data. As shown in Fig2A (for each animal there is a
left and right measurement), a large number of the kainate treated animals
exhibited a comparatively normal NAA/tCr, while a minority exhibited low values
(<=1.0), this seen in spite of the group increase in Ins/tCr (consistent
with occurrence of status). The distribution appears distinct from the control
animals (n=10). As the lowest value from the control animals was above 1.0,
this was used as the threshold value to segregate the kainate treated animals.
To demonstrate this specific behavior from NAA/tCr, Fig2B shows the equivalent
histogram for Ins/tCr, which appears to be more consistent with a single group
with a large variance.
Of the n=21 KA treated
rats, a 3day NAA/tCr threshold of 1.0 in the DG separated the animals into n=6
(“KA more injured” KMI with NAA/tCr<1.0) and n=15 (“KA less injured” KLI,
NAA/tCr>1.0). This segregation is reflected in the other metabolite changes
and the 3week data (Fig. 3). At 3days, the KLI and KMI groups differed
significantly from control in Glu/tCr, Ins/tCr, Gln/tCr and Lac/tCr. The
majority of these changes are consistent with the KMI group experiencing more
intense status and/or slower recovery from the status, with increased inositol,
glutamine and lactate. The separation of the KLI and KMI groups persisted into
3weeks. Both groups exhibited some recovery of NAA/tCr, but KLI returned to
control values at 1.28±0.12, while the KMI group NAA/tCr value stayed depressed
at 1.00±0.12 (control, 1.30±0.15). The 3week KMI group also continued to show a
increased Ins/tCr and a decreased Glu/tCr. In contrast, the 3week KLI group had
largely normalized all of its metabolic parameters. Histologically, a blinded
semi-quantitative Nissl analysis of the dorsal hippocampus was performed in n=8
treated rats, finding that the KLI group (n=4) to be largely intact while the
KMI (n=4) group typically showed neuronal loss and gliosis. Overall, the
histological data suggest that the 3day segregation by NAA/tCr is predictive
towards the 3week histological features of gliosis and Nissl loss.
Conclusions
Using a short version Hellier Dudek model, the 3day MR spectroscopic
measurement of NAA/tCr can separate the less and more severely injured
animals. This is based on the numerous
3day, 3week parameters and histology that are consistent with the KLI or KMI categorization and
argues for a key role of neuronal mitochondria and metabolic dysfunction in describing or predicting
tissue response in the post-status period. Whether or not NAA/tCr can predict development of epilepsy or cognitive injury after seizures will require additional work.
Acknowledgements
Financial support is acknowledged from NIH NS083035, EB011639, NS090417.References
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