Publications by authors named "Kristina D Yakovleva"
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.
Temporal lobe epilepsy (TLE) is the most common type of focal epilepsy in adults. Experimental and clinical data indicate that neuroinflammation and neurodegeneration accompanying epileptogenesis make a significant contribution to the chronicity of epilepsy and the development of drug resistance in TLE cases. Changes in plasma and serum concentrations of proteins associated with neuroinflammation and neurodegeneration can be predictive biomarkers of the course of the disease.
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- Temporal lobe epilepsy (TLE) is a common type of epilepsy that often resists medication and has variable seizure onset; researchers are exploring new treatment and diagnostic methods, focusing on non-coding RNAs like microRNA (miR).
- This systematic review analyzes studies from 2016-2021 investigating the role of specific miRs as biomarkers for mesial TLE (mTLE), using data from various medical databases.
- Key findings identify several miRs (like miR-155 and miR-197-5p) as potential biomarkers for mTLE, although some (like miR-146a and miR-223) require further research to clarify their roles.