Back

Proteomic and Transcriptomic Analyses of the Hippocampus and Cortex in SUDEP and High-Risk SUDEP Cases

Leitner, D. F.; Mills, J. D.; Pires, G.; Faustin, A.; Drummond, E.; Kanshin, E.; Nayak, S.; Askenazi, M.; Verducci, C.; Chen, B. J.; Janitz, M.; Anink, J. J.; Baayen, J. C.; Idema, S.; van Vliet, E. A.; Devore, S.; Friedman, D.; Diehl, B. V.; Scott, C.; Thijs, R.; Wisniewski, T.; Ueberheide, B.; Thom, M.; Aronica, E.; Devinsky, O.

2020-07-28 neuroscience
10.1101/2020.07.27.223446 bioRxiv
Show abstract

Sudden unexpected death in epilepsy (SUDEP) is the leading type of epilepsy-related death. Severely depressed brain activity in these cases may impair respiration, arousal, and protective reflexes, occurring as a prolonged postictal generalized EEG suppression (PGES) and resulting in a high-risk for SUDEP. In autopsy hippocampus and cortex, we observed no proteomic differences between SUDEP and epilepsy cases, contrasting our previously reported robust differences between epilepsy and controls. Transcriptomics in hippocampus and cortex from surgical epilepsy cases segregated by PGES identified 55 differentially expressed genes (37 protein-coding, 15 lncRNAs, three pending) in hippocampus. Overall, the SUDEP proteome and high-risk SUDEP transcriptome largely reflected other epilepsy cases in the brain regions analyzed, consistent with diverse epilepsy syndromes and comorbidities associated with SUDEP. Thus, studies with larger cohorts and different epilepsy syndromes, as well as additional anatomic regions may identify molecular mechanisms of SUDEP.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.