AI Article Synopsis

  • Mesial temporal lobe epilepsy (TLE) is the most prevalent form of epilepsy, primarily treated through surgery, though relapses are common and invasive EEG methods to predict outcomes are complicated.
  • A study focused on identifying microRNAs as potential biomarkers for predicting surgical outcomes in TLE patients, reviewing literature from several scientific databases using targeted keywords.
  • Among the microRNAs analyzed, only miR-654-3p effectively differentiated between patients with favorable and unfavorable surgical outcomes, indicating a need for ongoing research into these biomarkers and consideration of various influencing factors in their study.

Article Abstract

Mesial temporal lobe epilepsy is the most common type of epilepsy. For most patients suffering from TLE, the only treatment option is surgery. However, there is a high possibility of relapse. Invasive EEG as a method for predicting the outcome of surgical treatment is a very complex and invasive manipulation, so the search for outcome biomarkers is an urgent task. MicroRNAs as potential biomarkers of surgical outcome are the subject of this study. For this study, a systematic search for publications in databases such as PubMed, Springer, Web of Science, Scopus, ScienceDirect, and MDPI was carried out. The following keywords were used: temporal lobe epilepsy, microRNA, biomarkers, surgery, and outcome. Three microRNAs were studied as prognostic biomarkers of surgical outcome: miR-27a-3p, miR-328-3p, and miR-654-3p. According to the results of the study, only miR-654-3p showed a good ability to discriminate between patients with poor and good surgical outcomes. MiR-654-3p is involved in the following biological pathways: ATP-binding cassette drug transporters, glutamate transporter SLC7A11, and TP53. A specific target for miR-654-3p is GLRA2, the glycine receptor subunit. MicroRNAs, which are diagnostic biomarkers of TLE, and epileptogenesis, miR-134-5p, MiR-30a, miRs-143, etc., can be considered as potential biomarkers of surgical outcome, as they can be indicators of early and late relapses. These microRNAs are involved in the processes characteristic of epilepsy: oxidative stress and apoptosis. The study of miRNAs as potential predictive biomarkers of surgical outcome is an urgent task and should be continued. However, when studying miRNA expression profiles, it is important to take into account and note a number of factors, such as the type of sample under study, the time of sampling for the study, the type and duration of the disease, and the type of antiepileptic treatment. Without taking into account all these factors, it is impossible to assess the influence and involvement of miRNAs in epileptic processes.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10052204PMC
http://dx.doi.org/10.3390/ijms24065694DOI Listing

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