Literature DB >> 17910586

Activity-dependent gene expression correlates with interictal spiking in human neocortical epilepsy.

Sanjay N Rakhade1, Aashit K Shah, Rajeev Agarwal, Bin Yao, Eishi Asano, Jeffrey A Loeb.   

Abstract

Interictal spikes are hallmarks of epileptic neocortex that are used commonly in both EEG and electrocorticography (ECoG) to localize epileptic brain regions. Despite their prevalence, the exact relationship between interictal spiking and the molecular pathways that drive the production and propagation of seizures is not known. We have recently identified a common group of genes induced in human epileptic foci, including EGR1, EGR2, c-fos, and MKP-3. We found that the expression levels of these genes correlate precisely with the frequency of interictal activity and can thus serve as markers of epileptic activity. Here, we explore this further by comparing the expression of these genes within human epileptic neocortex to both ictal and specific electrical parameters of interictal spiking from subdural recordings prior to surgical resection in order to determine the electrical properties of the human neocortex that correlate best to the expression of these genes. Seizure frequency as well as quantitative electrophysiological parameters of interictal spikes including frequency, amplitude, duration, and area were calculated at each electrode channel and compared to quantitative real-time RT-PCR measurements of four activity-dependent genes (c-fos, EGR1, EGR2, and MKP-3) in the underlying neocortical tissue. Local neocortical regions of seizure onset had consistently higher spike firing frequencies and higher spike amplitudes compared to nearby "control" cortex. In contrast, spike duration was not significantly different between these two areas. There was no relationship observed between seizure frequency and the expression levels of activity-dependent genes for the patients examined in this study. However, within each patient, there were highly significant correlations between the expression of three of these genes (c-fos, EGR1, EGR2) and the frequency, amplitude, and total area of the interictal spikes at individual electrodes. We conclude that interictal spiking is closely associated with the expression of a group of activity-dependent transcription factors in neocortical human epilepsy. Since there was little correlation between gene expression and seizure frequency, our results suggest that interictal spiking is a stronger driving force behind these activity-dependent gene changes and may thus participate in the development and maintenance of the abnormal neuronal hyperactivity seen in human epileptic neocortex.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17910586     DOI: 10.1111/j.1528-1167.2007.01294.x

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  30 in total

1.  A human systems biology approach to discover new drug targets in epilepsy.

Authors:  Jeffery A Loeb
Journal:  Epilepsia       Date:  2010-07       Impact factor: 5.864

Review 2.  Is epilepsy a preventable disorder? New evidence from animal models.

Authors:  Kathryn A Giblin; Hal Blumenfeld
Journal:  Neuroscientist       Date:  2010-06       Impact factor: 7.519

Review 3.  Epileptogenesis in the immature brain: emerging mechanisms.

Authors:  Sanjay N Rakhade; Frances E Jensen
Journal:  Nat Rev Neurol       Date:  2009-07       Impact factor: 42.937

4.  Layer-specific CREB target gene induction in human neocortical epilepsy.

Authors:  Thomas L Beaumont; Bin Yao; Aashit Shah; Gregory Kapatos; Jeffrey A Loeb
Journal:  J Neurosci       Date:  2012-10-10       Impact factor: 6.167

5.  Electrical, molecular and behavioral effects of interictal spiking in the rat.

Authors:  Daniel T Barkmeier; Danielle Senador; Karine Leclercq; Darshan Pai; Jing Hua; Nash N Boutros; Rafal M Kaminski; Jeffrey A Loeb
Journal:  Neurobiol Dis       Date:  2012-03-26       Impact factor: 5.996

6.  In vivo imaging of immediate early gene expression reveals layer-specific memory traces in the mammalian brain.

Authors:  Hong Xie; Yu Liu; Youzhi Zhu; Xinlu Ding; Yuhao Yang; Ji-Song Guan
Journal:  Proc Natl Acad Sci U S A       Date:  2014-02-03       Impact factor: 11.205

7.  High inter-reviewer variability of spike detection on intracranial EEG addressed by an automated multi-channel algorithm.

Authors:  Daniel T Barkmeier; Aashit K Shah; Danny Flanagan; Marie D Atkinson; Rajeev Agarwal; Darren R Fuerst; Kourosh Jafari-Khouzani; Jeffrey A Loeb
Journal:  Clin Neurophysiol       Date:  2011-10-26       Impact factor: 3.708

8.  Caveolin-1 Sensitivity of Excitatory Amino Acid Transporters EAAT1, EAAT2, EAAT3, and EAAT4.

Authors:  Abeer Abousaab; Jamshed Warsi; Bernat Elvira; Florian Lang
Journal:  J Membr Biol       Date:  2015-12-21       Impact factor: 1.843

Review 9.  An animal model to study the clinical significance of interictal spiking.

Authors:  D T Barkmeier; J A Loeb
Journal:  Clin EEG Neurosci       Date:  2009-10       Impact factor: 1.843

10.  Activity-dependent human brain coding/noncoding gene regulatory networks.

Authors:  Leonard Lipovich; Fabien Dachet; Juan Cai; Shruti Bagla; Karina Balan; Hui Jia; Jeffrey A Loeb
Journal:  Genetics       Date:  2012-09-07       Impact factor: 4.562

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.