University of Antwerp, Department of Translational Neurosciences, Wilrijk, Belgium.
University of Antwerp, Molecular Imaging Center Antwerp, Wilrijk, Belgium.
Brain Behav Immun. 2017 Mar;61:69-79. doi: 10.1016/j.bbi.2016.12.015. Epub 2016 Dec 23.
Brain inflammation is an important factor in the conversion of a healthy brain into an epileptic one, a phenomenon known as epileptogenesis, offering a new entry point for prognostic tools. The development of anti-epileptogenic therapies to treat before or at disease onset is hampered by our inability to predict the severity of the disease outcome. In a rat model of temporal lobe epilepsy we aimed to assess whether in vivo non-invasive imaging of brain inflammation at disease onset was predictive of spontaneous recurrent seizures (SRS) frequency and severity of depression-like and sensorimotor-related comorbidities. To this end, translocator protein, a biomarker of inflammation, was imaged by means of positron emission tomography (PET) 2 and 4weeks post-status epilepticus using [F]-PBR111. Translocator protein was highly upregulated 2weeks post-status epilepticus in limbic structures (up to 2.1-fold increase compared to controls in temporal lobe, P<0.001), whereas 4weeks post-status epilepticus, upregulation decreased (up to 1.6-fold increase compared to controls in temporal lobe, P<0.01) and was only apparent in a subset of these regions. Animals were monitored with video-electroencephalography during all stages of disease (acute, latent - first seizures appearing around 2weeks post-status epilepticus - and chronic phases), for a total of 12weeks, in order to determine SRS frequency for each subject (range 0.00-0.83SRS/day). We found that regional PET uptake at 2 and 4weeks post-status epilepticus correlated with the severity of depression-like and sensorimotor-related comorbidities during chronic epilepsy (P<0.05 for each test). Regional PET imaging did not correlate with SRS frequency, however, by applying a multivariate data-driven modeling approach based on translocator protein PET imaging at 2weeks post-status epilepticus, we accurately predicted the frequency of SRS (R=0.92; R=0.86; P<0.0001) at the onset of epilepsy. This study not only demonstrates non-invasive imaging of translocator protein as a prognostic biomarker to ascertain SRS frequency, but also shows its capability to reflect the severity of depression-like and sensorimotor-related comorbidities. Our results are an encouraging step towards the development of anti-epileptogenic treatments by providing early quantitative assessment of SRS frequency and severity of comorbidities with high clinical relevance.
脑炎症是将健康的大脑转变为癫痫状态的一个重要因素,这种现象被称为癫痫发生,为预后工具提供了新的切入点。由于我们无法预测疾病结果的严重程度,因此开发用于在疾病发作前或发作时治疗的抗癫痫发生疗法受到了阻碍。在颞叶癫痫的大鼠模型中,我们旨在评估疾病发作时脑炎症的体内无创成像是否可预测自发性复发发作(SRS)的频率以及抑郁样和感觉运动相关合并症的严重程度。为此,使用正电子发射断层扫描(PET)在癫痫发作后 2 周和 4 周时通过[F]-PBR111 对转位蛋白(炎症的生物标志物)进行成像。在癫痫发作后 2 周时,边缘结构中转位蛋白高度上调(与对照组相比,颞叶增加了 2.1 倍,P<0.001),而在癫痫发作后 4 周时,上调减少(与对照组相比,颞叶增加了 1.6 倍,P<0.01),并且仅在这些区域的一部分中可见。在疾病的所有阶段(急性,潜伏期-癫痫发作后约 2 周出现第一次发作-和慢性阶段)中,动物均通过视频-脑电图进行监测,总共 12 周,以便确定每个动物的 SRS 频率(范围为 0.00-0.83SRS/天)。我们发现,癫痫发作后 2 周和 4 周时的局部 PET 摄取与慢性癫痫期间的抑郁样和感觉运动相关合并症的严重程度相关(每种测试均为 P<0.05)。但是,局部 PET 成像与 SRS 频率无关,但是,通过应用基于癫痫发作后 2 周转位蛋白 PET 成像的多元数据驱动建模方法,我们可以准确预测 SRS 的频率(R=0.92; R=0.86; P<0.0001)。这项研究不仅证明了转位蛋白的无创成像作为一种预后生物标志物来确定 SRS 频率,而且还表明其能够反映抑郁样和感觉运动相关合并症的严重程度。我们的研究结果朝着通过提供与高临床相关性的 SRS 频率和合并症严重程度的早期定量评估来开发抗癫痫发生疗法迈出了令人鼓舞的一步。