Circulating microRNAs as Biomarkers of Various Forms of Epilepsy
<b>Background</b>: Epilepsy is a group of disorders characterized by a cluster of clinical and EEG signs leading to the formation of abnormal synchronous excitation of neurons in the brain. It is one of the most common neurological disorders worldwide; and is characterized by aberrant ex...
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| author | Elena E. Timechko Kristina D. Lysova Alexey M. Yakimov Anastasia I. Paramonova Anastasia A. Vasilieva Elena A. Kantimirova Anna A. Usoltseva Albina V. Yakunina Irirna G. Areshkina Diana V. Dmitrenko |
| author_facet | Elena E. Timechko Kristina D. Lysova Alexey M. Yakimov Anastasia I. Paramonova Anastasia A. Vasilieva Elena A. Kantimirova Anna A. Usoltseva Albina V. Yakunina Irirna G. Areshkina Diana V. Dmitrenko |
| author_sort | Elena E. Timechko |
| collection | DOAJ |
| description | <b>Background</b>: Epilepsy is a group of disorders characterized by a cluster of clinical and EEG signs leading to the formation of abnormal synchronous excitation of neurons in the brain. It is one of the most common neurological disorders worldwide; and is characterized by aberrant expression patterns; both at the level of matrix transcripts and at the level of regulatory RNA sequences. Aberrant expression of a number of microRNAs can mark a particular epileptic syndrome; which will improve the quality of differential diagnosis. <b>Materials and Methods</b>: In this work; the expression profile of six microRNAs was analyzed: hsa-miR-106b-5p; hsa-miR-134-5p; hsa-miR-122-5p; hsa-miR-132-3p; hsa-miR-155-5p; and hsa-miR-206-5p in the blood plasma of patients suffering from temporal lobe epilepsy (n = 52) and juvenile myoclonic epilepsy (n = 42); n—amount of participants; in comparison with healthy volunteers. The expression analysis was carried out using RT-PCR. Mathematical processing of the data was carried out according to the Livak method. <b>Results</b>: A statistically significant change in the expression of hsa-miR-106b-5p; hsa-miR-134-5p; hsa-miR-122-5p; and hsa-miR-132-3p was found. An increase in the expression of hsa-miR-134-5p and hsa-miR-122-5p was registered in the group of patients with temporal lobe epilepsy compared to the control; as well as an increase in the expression of hsa-miR-132-3p and hsa-miR-106b-5p in the juvenile myoclonic epilepsy group compared to the control. hsa-miR-122-5p; 106b-5p; 132-3p are also able to discriminate groups with different syndromes. Additionally; a number of microRNAs are able to discriminate patients with drug-resistant and drug-sensitive forms of epilepsy from the control; as well as patients with hippocampal sclerosis and patients without hippocampal sclerosis from the control. Conclusion. Our data allow us to propose these microRNAs as plasma biomarkers of various epileptic syndromes |
| format | Article |
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| spelling | doaj-art-9ef59c5a1c56436c835549eaefc111d42025-08-20T01:48:41ZengMDPI AGMedical Sciences2076-32712025-01-01131710.3390/medsci13010007Circulating microRNAs as Biomarkers of Various Forms of EpilepsyElena E. Timechko0Kristina D. Lysova1Alexey M. Yakimov2Anastasia I. Paramonova3Anastasia A. Vasilieva4Elena A. Kantimirova5Anna A. Usoltseva6Albina V. Yakunina7Irirna G. Areshkina8Diana V. Dmitrenko9Department of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaFederal State Budgetary Educational Institution, Samara State Medical University, Ministry of Healthcare of the Russian, Samara 443079, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, RussiaDepartment of Medical Genetics, Clinical Neurophysiology of Postgraduate Education, V.F. Voyno-Yasenetsky Krasnoyarsk State Medical University, Russian National Research, Krasnoyarsk 660022, Russia<b>Background</b>: Epilepsy is a group of disorders characterized by a cluster of clinical and EEG signs leading to the formation of abnormal synchronous excitation of neurons in the brain. It is one of the most common neurological disorders worldwide; and is characterized by aberrant expression patterns; both at the level of matrix transcripts and at the level of regulatory RNA sequences. Aberrant expression of a number of microRNAs can mark a particular epileptic syndrome; which will improve the quality of differential diagnosis. <b>Materials and Methods</b>: In this work; the expression profile of six microRNAs was analyzed: hsa-miR-106b-5p; hsa-miR-134-5p; hsa-miR-122-5p; hsa-miR-132-3p; hsa-miR-155-5p; and hsa-miR-206-5p in the blood plasma of patients suffering from temporal lobe epilepsy (n = 52) and juvenile myoclonic epilepsy (n = 42); n—amount of participants; in comparison with healthy volunteers. The expression analysis was carried out using RT-PCR. Mathematical processing of the data was carried out according to the Livak method. <b>Results</b>: A statistically significant change in the expression of hsa-miR-106b-5p; hsa-miR-134-5p; hsa-miR-122-5p; and hsa-miR-132-3p was found. An increase in the expression of hsa-miR-134-5p and hsa-miR-122-5p was registered in the group of patients with temporal lobe epilepsy compared to the control; as well as an increase in the expression of hsa-miR-132-3p and hsa-miR-106b-5p in the juvenile myoclonic epilepsy group compared to the control. hsa-miR-122-5p; 106b-5p; 132-3p are also able to discriminate groups with different syndromes. Additionally; a number of microRNAs are able to discriminate patients with drug-resistant and drug-sensitive forms of epilepsy from the control; as well as patients with hippocampal sclerosis and patients without hippocampal sclerosis from the control. Conclusion. Our data allow us to propose these microRNAs as plasma biomarkers of various epileptic syndromeshttps://www.mdpi.com/2076-3271/13/1/7temporal lobe epilepsyjuvenile myoclonic epilepsymicroRNAdrug-resistancebiomarkersexpression profile |
| spellingShingle | Elena E. Timechko Kristina D. Lysova Alexey M. Yakimov Anastasia I. Paramonova Anastasia A. Vasilieva Elena A. Kantimirova Anna A. Usoltseva Albina V. Yakunina Irirna G. Areshkina Diana V. Dmitrenko Circulating microRNAs as Biomarkers of Various Forms of Epilepsy Medical Sciences temporal lobe epilepsy juvenile myoclonic epilepsy microRNA drug-resistance biomarkers expression profile |
| title | Circulating microRNAs as Biomarkers of Various Forms of Epilepsy |
| title_full | Circulating microRNAs as Biomarkers of Various Forms of Epilepsy |
| title_fullStr | Circulating microRNAs as Biomarkers of Various Forms of Epilepsy |
| title_full_unstemmed | Circulating microRNAs as Biomarkers of Various Forms of Epilepsy |
| title_short | Circulating microRNAs as Biomarkers of Various Forms of Epilepsy |
| title_sort | circulating micrornas as biomarkers of various forms of epilepsy |
| topic | temporal lobe epilepsy juvenile myoclonic epilepsy microRNA drug-resistance biomarkers expression profile |
| url | https://www.mdpi.com/2076-3271/13/1/7 |
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