A novel method for obtaining epileptic brain tissue for omic analyses using electrodes from a clinical stereoelectroencephalography study
Abstract Purpose: Developing a valid and practical method for obtaining brain tissue samples for transcriptomic and proteomic analyses using tissue adhered to stereoelectroencephalography (SEEG) electrodes, to enable investigation of the molecular mechanisms underlying chronic epilepsy. Method: Brain tissue samples adhered to SEEG electrodes were collected from six patients with drug-resistant…
A groundbreaking technique has emerged for acquiring brain tissue samples essential for molecular research in epilepsy patients. Scientists have discovered a method that utilizes electrodes from clinical stereoelectroencephalography (SEEG) studies to gather these samples.
The study, focusing on six individuals with drug-resistant epilepsy, involved collecting brain tissue adhered to SEEG electrodes after their removal in a hospital setting. The tissue samples were quickly processed, with RNA extraction initiated immediately and proteomics samples frozen for future analysis.
These samples were divided into three groups based on their electrophysiological characteristics: epileptogenic zone, propagation zone, and least-involved zone. Researchers then compared the omic results across these groups and with different anatomical brain regions.
The findings revealed that high-quality RNA and protein samples could be obtained from the SEEG electrode-attached tissue. Neuron- and brain-specific gene expression patterns and proteins were identified, with signs of inflammatory mechanisms most prominent in the epileptogenic zone. Importantly, the transcriptomic and proteomic data showed a high degree of concordance.
This innovative approach demonstrates the potential of SEEG electrodes as a valuable source for obtaining brain tissue. By enabling the examination of molecular mechanisms underlying chronic epilepsy, this method opens up new possibilities for identifying both shared and distinct molecular characteristics among patients with varying epilepsy etiologies.
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