RNA fragments hold seizure secrets and link to cannabis receptors

Inhibition of tRNA fragments dysregulated in human mTLE exacerbates pathology and seizure activity.

Acta neuropathologica • • Moderately Relevant
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AI Summary

This research explores how transfer RNA fragments (tRFs) contribute to mesial temporal lobe epilepsy (mTLE), a severe form of epilepsy where one-third of patients don't respond to medications. Scientists analyzed brain tissue from mTLE patients and discovered widespread changes in tRNA and tRNA-derived fragments, with a particularly significant downregulation of fragments from tRNA-His-GTG. Using cell-based studies, they identified these fragments as powerful regulators of gene expression, including genes associated with epilepsy—most notably the Cannabinoid Receptor 1 (CNR1) gene, which is crucial for endocannabinoid signaling in the brain.

In animal models, when researchers blocked these tRNA-His-GTG fragments to increase their expression (mimicking what happens after a seizure), they observed increased seizure activity and altered brain network patterns, with reduced theta and alpha brain wave power. The knockdown also triggered enhanced glial activation, indicating increased neuroinflammation. These findings demonstrate for the first time that manipulating tRNA fragments directly affects seizure severity and the underlying pathology of mTLE, opening new avenues for understanding how the brain's molecular machinery contributes to drug-resistant epilepsy.

The connection to CNR1 and endocannabinoid signaling is particularly intriguing, as it suggests the endocannabinoid system may play a protective role in seizure control. This work could have implications for understanding why some cannabis-based treatments show promise in seizure disorders and may lead to new therapeutic strategies targeting tRNA fragments or enhancing endocannabinoid signaling in epilepsy patients.

📄 Original Abstract

Mesial temporal lobe epilepsy (mTLE) is a subtype of focal epilepsy in which approximately one-third of patients develop pharmaco-resistance, likely driven by multiple mechanisms including structural changes and dysregulated non-coding RNAs (ncRNAs). However, our understanding of the contribution of ncRNAs to mTLE pathogenesis remains incomplete, and many classes remain uncharacterized. Notably, transfer RNAs (tRNAs) and their stress-induced fragments are emerging as important regulators of gene expression and candidate fluid-based biomarkers. However, their tissue-level expression and role in disease pathogenesis remain poorly understood. Therefore, in this study we performed profiling of tRNA and tRNA-derived fragments (tRFs), in human hippocampal and cortical samples from hippocampal sclerosis mTLE (mTLE-HS) and non-hippocampal sclerosis mTLE (mTLE non-HS) patients and postmortem controls by total RNA sequencing (RNA-seq) and small non-coding RNA sequencing (sncRNA-seq). Our data reveal widespread changes in the neural expression of pre-tRNA, tRNA and tRF expression in human mTLE brain tissue. One of the most prominent changes observed was a downregulation of 5' fragments derived from tRNA-His-GTG. Knockdown of this tRNA and its 5' fragments combined with total RNA-seq in neuronal cells identified 5'tRNA-His-GTG fragments as strong regulators of gene expression, including of epilepsy-associated genes. For example, Cannabinoid Receptor 1 (CNR1) was identified as a possible downstream target of 5'tRF-His-GTG. To investigate the contribution of 5'tRF-His-GTG to TLE pathogenesis and seizure activity, the increased expression of this tRF that was observed at 24 h after status epilepticus (SE) in mice was targeted using inhibitors. This induced increased seizures and altered network activity, with reduced theta and alpha power bands, and enhanced glial fibrillary acidic protein (GFAP) expression. Together, our study confirms and extends previous findings by identifying widespread changes in human brain tRF expression in mTLE and demonstrates for the first time that tRF manipulation affects seizure activity and mTLE pathology.

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