Evidence map›Paper›PMID 41463340›Full record

ArticleBiomolecules2025

Transcriptomic Profiles from Stereo-EEGs May Reflect the Local Brain Cell Microenvironment in Human Epilepsy.

Julian Larkin, Anuj Kumar Dwivedi, Arun Mahesh, Albert Sanfeliu, Kieron J Sweeney, Donncha F O'Brien, Vijay K Tiwari, Peter Widdess-Walsh, David C Henshall

Abstract read
In one paragraph

Article in Biomolecules, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Julian LarkinDepartment of Neurology and Clinical Neurophysiology, Beaumont Hospital, D09 V2N0 Dublin, Ireland.ORCID 0009-0006-6317-179X
Anuj Kumar DwivediInstitute for Molecular Medicine, University of Southern Denmark, 5230 Odense M, Denmark.
Arun MaheshInstitute for Molecular Medicine, University of Southern Denmark, 5230 Odense M, Denmark.
Albert SanfeliuFutureNeuro Research Ireland Centre, RCSI University of Medicine & Health Sciences, 123 St. Stephen's Green, D02 YN77 Dublin, Ireland.
Kieron J SweeneyFutureNeuro Research Ireland Centre, RCSI University of Medicine & Health Sciences, 123 St. Stephen's Green, D02 YN77 Dublin, Ireland.
Donncha F O'BrienFutureNeuro Research Ireland Centre, RCSI University of Medicine & Health Sciences, 123 St. Stephen's Green, D02 YN77 Dublin, Ireland.
Vijay K TiwariInstitute for Molecular Medicine, University of Southern Denmark, 5230 Odense M, Denmark.
Peter Widdess-WalshDepartment of Neurology and Clinical Neurophysiology, Beaumont Hospital, D09 V2N0 Dublin, Ireland.
David C HenshallFutureNeuro Research Ireland Centre, RCSI University of Medicine & Health Sciences, 123 St. Stephen's Green, D02 YN77 Dublin, Ireland.ORCID 0000-0001-6237-9632

Funding

Danish National Research Foundation DNRF177European Union 964712Higher Education Authority SeeDeepERNovo Nordisk Foundation 3110103Royal College of Surgeons in Ireland StAR MDTaighde Éireann - Research Ireland 16/RC/3948 and 21/RC/10294_P2
6 · The paper itself

Abstract

backgroundOur understanding of the pathomechanisms of epilepsy has improved through techniques that access the living human brain. We recently reported that explanted stereo-electroencephalography (SEEG) electrodes from patients with epilepsy carry residual biomolecules and cells, which may be utilised for transcriptome and DNA methylation profiling.

methodsHere, we applied bioinformatic and other analyses to explore the transcriptomes (RNA sequencing-based) of those SEEG cases to better understand the types of recovered transcripts in terms of representation of genes expressed by different cell types, brain structures, and the extent to which the signal may reflect local epileptiform activity.

resultsElectrodes from all clinical cases retained protein-coding transcripts which reflected the local molecular microenvironment as well as epileptiform activity. Expression of genes involved in housekeeping functions, as well as markers of neuronal activity, was consistent between patients and between the electrode locations within the brain. We detected transcripts representing various cell types and subtypes, including excitatory and inhibitory neurons, all major classes of glia, and endothelial cells, as well as transcripts enriched in specific brain regions. Several genes showed a gradient of expression depending on the electrode position within the brain. We found examples of gene expression that correlated with epileptiform activity as recorded by SEEG.

conclusionsThese findings extend the evidence that SEEG electrodes reflect the molecular microenvironments of brain activity in patients with epilepsy, both at sites of seizure onset and within the wider seizure network. The approach has potential applications in intraoperative surgical decision-making, as well as to identify molecular biomarkers or therapeutic targets for the drug-resistant epilepsies.

Indexed as

BrainCellular MicroenvironmentElectroencephalographyEpilepsyTranscriptomeAdultFemaleGene Expression ProfilingHumansMaleMiddle Agedepigeneticmulti-modal profilingneurosurgeryRNA sequencingtemporal lobe epilepsy

Identifiers

PMID41463340
PMCPMC12730889

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