Shuohua Wu1,2, Qianqi Wang2, Huige Zhai2, Yiwen Zhang2, Pu-yeh Wu3, Gen Yan2, and Renhua Wu1
1The Second Affiliated Hospital, Medical College of Shantou University, Shantou, China, 2The Second Affiliated Hospital of Xiamen Medical College, Xiamen, China, 3GE Healthcare, Beijing, Beijing, China
Synopsis
Keywords: Epilepsy, Molecular Imaging, therapeutic effect
Current diagnosis of MRI-negative
TLE relies on clinical history and EEG or IEEG. However, IEEG
is invasive and fails to monitor therapeutic effects dynamically. It is necessary to screen for effective biomarkers. We
used MEGA-PRESS technique to investigate role of GABA and other metabolic alterations
in TLE. We demonstrated that GABA, NAA, NAA+NAAG, and Glu levels in MTL were significantly
different between epileptic and contralateral sides, and increasing index of
GABA values is associated with increasing index of seizure frequency. These
findings suggested that GABA is an effective biomarker for lateralization and
therapeutic effect monitoring in patients with MRI-negative TLE.
Abstract
Background:
Temporal
lobe epilepsy (TLE) is a common epileptic syndrome. Up to 30% of patients with
TLE are magnetic resonance imaging (MRI)-negative. Moreover, 70% of patients
with TLE have a high risk of developing drug resistance1. To this
end, electroencephalography (EEG) and intracranial EEG (IEEG), especially the latter, are essential
tools for the location and lateralization of MRI-negative TLE epileptic foci.
However, IEEG is invasive, and EEG and IEEG fail to dynamically monitor
therapeutic effects2.
Despite verifying proton magnetic resonance spectroscopy (1H-MRS) for
focal localization in MRI-negative TLE patients, it is necessary to reveal underlying
metabolic changes and screen for effective biomarkers for
therapeutic effect monitoring3. Previous studies have
demonstrated that γ-aminobutyric acid (GABA) has an important role in the
mechanism and treatment of epilepsy4. Utilizing J-difference
spectral editing approach, MEGA-PRESS5 has been the most widely
applied technique for noninvasive GABA imaging, and has been validated by
correlation with chromatographic measurements of GABA6.
Therefore, in this study, we adopted MEGA-PRESS to investigate the role of
GABA and other metabolites level alterations in the mesial temporal lobe (MTL)
and dorsolateral prefrontal cortex (DLPFC)
in patients with MRI-negative TLE. We aimed to explore the association of
metabolite levels with age, onset age of epilepsy, duration of epilepsy,
tonic-clonic seizure (TCS) frequency, and interval days since the most recent
seizure. Furthermore, we also explored the correlation between metabolite
levels and epileptic foci suggested by video-EEG.
Methods:
37 patients (14 women) and 20
health control (11 women) were enrolled in this study. All MRI examinations
were performed on a 3.0T MRI scanner (MR750w; GE Healthcare, Milwaukee, WI,
USA). MEGA-PRESS sequence was acquired with following parameters: TR/TE =
1800/68 ms; FOV = 24 mm; slice thickness = 20 mm; NEX = 8. GABA and other
metabolites levels were further calculated using LCModel software (linear combination
model) (http://www.lcmodel.com). Figure 1 shows the diagram of the study
protocol. Metabolite level differences in the epileptic and
contralateral sides on the MTL and DLPFC were compared using paired t-test. Figure
2 show this part results. Pearson correlation coefficient (PCC)
was calculated to analyze the association of GABA level with clinical factors
including TCS frequency. Moreover, we followed up above patients to obtain
reexamination data from 6 patients with an interval of at least three months,
and analyzed the correlation between increasing index of TCS frequency and increasing
index of GABA in the region of interest. Figure 3 show this part results. P-value
< 0.05 was considered statistically significant.
Results:
We found that GABA levels significantly
decreased in the epileptic side (2.292 ± 0.890), compared with the
contralateral side (2.662 ± 0.742, P = 0.029*) in MTL.
N-acetylaspartate (NAA) levels were significantly lower in the epileptic side
(7.284 ± 1.314) than that in the contralateral side (7.655 ± 1.549, P = 0.034*). NAA + N-acetylaspartylglutamate (NAAG)
levels significantly decreased in the epileptic side (7.668 ± 1.406), compared
with the contralateral side (8.086 ± 1.675, P = 0.032*).
Glutamate (Glu) levels significantly decreased in the epileptic side (7.773 ±
1.428), compared with the contralateral side (8.245 ± 1.616, P = 0.040*). Last but not least, in the prospective
drug effect monitoring analysis, a strong negative correlation was found
between increasing index of GABA values and increasing index of seizure
frequency in epileptogenic MTL (r = -0.882, P = 0.008**).
Figure 4 demonstrates the consistency of GABA values alterations in
epileptogenic MTL with EEG epileptic wave frequency in a same follow-up
patient.
There were no tonic-clonic seizures detected
for three months after treatment.
Conclusion:
To the best of our knowledge, this
is the first study to investigate in vivo MTL and DLPFC GABA levels in
MRI-negative TLE using MEGA-PRESS technique. This is also the largest study of
GABA levels in MRI-negative TLE measured with MRS to date. For the first time, we
have used GABA, an important inhibitory neurotransmitter, as a biomarker of
epilepsy therapeutic efficacy and have demonstrated the critical role of
neuronal excitation/inhibition imbalance in localization of epileptogenic zone
and monitoring of efficacy dynamically. Effective biomarkers could
substantially improve the management of people with epilepsy and could lead to
individualized and effective treatment, rather than just symptomatic treatment.
Our results demonstrated that GABA, NAA, NAA+NAAG, and Glu levels on the MTL
are able to refer the localization in MRI-negative TLE. More importantly, the
increasing index of GABA level on the epileptogenic MTL, probably indicating
the neuronal imbalance of excitation and inhibition, is associated with
increasing index of seizure frequency. These findings suggested that GABA level
in the MTL can be a specific and effective biomarker for lateralization and therapeutic
effect monitoring in MRI-negative TLE.Acknowledgements
We thank GE Healthcare for assistance in resolving
some technical MRI-related issues and providing relevant consultation. We wish
to thank the participants and their families for their contribution to our
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