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Dynamic up-regulation of prodynorphin transcription in temporal lobe epilepsy.

ABSTRACT: Dynorphin neuropeptides are believed to act as endogenous anticonvulsants, though direct evidence for such a role in humans is sparse. We now report pronounced increases of prodynorphin mRNA expression in the dentate gyrus of patients with temporal lobe epilepsy in comparison to controls. We detected a conspicuously right skewed, bimodal distribution of mRNA levels among patients, suggestive of a dynamic up-regulation of prodynorphin expression in epilepsy. Highest transcript levels were seen postictally. Our data argue for an essential role of dynorphin in the termination of seizures.

SUBMITTER: Pirker S

PROVIDER: S-EPMC3073604 | biostudies-literature | 2009 Nov

REPOSITORIES: biostudies-literature

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Dynamic up-regulation of prodynorphin transcription in temporal lobe epilepsy.

Pirker Susanne S Gasser Elisabeth E Czech Thomas T Baumgartner Christoph C Schuh Elisabeth E Feucht Martha M Novak Klaus K Zimprich Fritz F Sperk Günther G

Hippocampus 20091101 11

Dynorphin neuropeptides are believed to act as endogenous anticonvulsants, though direct evidence for such a role in humans is sparse. We now report pronounced increases of prodynorphin mRNA expression in the dentate gyrus of patients with temporal lobe epilepsy in comparison to controls. We detected a conspicuously right skewed, bimodal distribution of mRNA levels among patients, suggestive of a dynamic up-regulation of prodynorphin expression in epilepsy. Highest transcript levels were seen po ...[more]

PMID: 19437412

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Project description:ObjectiveTo identity phenotypes of self-reported symptoms of psychopathology and their correlates in patients with temporal lobe epilepsy (TLE).Method96 patients with TLE and 82 controls were administered the Symptom Checklist 90-Revised (SCL-90-R) to characterize emotional-behavioral status. The nine symptom scales of the SCL-90-R were analyzed by unsupervised machine learning techniques to identify latent TLE groups. Identified clusters were contrasted to controls to characterize their association with sociodemographic, clinical epilepsy, neuropsychological, psychiatric, and neuroimaging factors.ResultsTLE patients as a group exhibited significantly higher (abnormal) scores across all SCL-90-R scales compared to controls. However, cluster analysis identified three latent groups: (1) unimpaired with no scale elevations compared to controls (Cluster 1, 42% of TLE patients), (2) mild-to-moderate symptomatology characterized by significant elevations across several SCL-90-R scales compared to controls (Cluster 2, 35% of TLE patients), and (3) marked symptomatology with significant elevations across all scales compared to controls and the other TLE phenotype groups (Cluster 3, 23% of TLE patients). There were significant associations between cluster membership and demographic (education), clinical epilepsy (perceived seizure severity, bitemporal lobe seizure onset), and neuropsychological status (intelligence, memory, executive function), but with minimal structural neuroimaging correlates. Concurrent validity of the behavioral phenotype grouping was demonstrated through association with psychiatric (current and lifetime-to-date DSM IV Axis 1 disorders and current treatment) and quality-of-life variables.SignificanceSymptoms of psychopathology in patients with TLE are characterized by a series of discrete phenotypes with accompanying sociodemographic, cognitive, and clinical correlates. Similar to cognition in TLE, machine learning approaches suggest a developing taxonomy of the comorbidities of epilepsy.

Dataset Information

Dynamic up-regulation of prodynorphin transcription in temporal lobe epilepsy.

Publications

Dynamic up-regulation of prodynorphin transcription in temporal lobe epilepsy.

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