循环microrna作为各种形式癫痫的生物标志物。

Q1 Medicine
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
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引用次数: 0

摘要

背景:癫痫是一组以一系列临床和脑电图体征为特征,导致大脑神经元形成异常同步兴奋的疾病。它是世界上最常见的神经系统疾病之一;以异常的表达模式为特征;无论是在基质转录本水平上还是在调控RNA序列水平上。一些microrna的异常表达可以标志一种特殊的癫痫综合征;这将提高鉴别诊断的质量。材料与方法:在本研究中;分析6种microrna的表达谱:hsa-miR-106b-5p;hsa - mir - 134 - 5 - p;hsa - mir - 122 - 5 - p;hsa - mir - 132 - 3 - p;hsa - mir - 155 - 5 - p;颞叶癫痫(n = 52)和幼年肌阵挛性癫痫(n = 42)患者血浆中hsa-miR-206-5p的表达;参与人数n;与健康志愿者相比。采用RT-PCR进行表达分析。根据利瓦克方法对数据进行数学处理。结果:hsa-miR-106b-5p表达变化有统计学意义;hsa - mir - 134 - 5 - p;hsa - mir - 122 - 5 - p;hsa-miR-132-3p。与对照组相比,颞叶癫痫患者组hsa-miR-134-5p和hsa-miR-122-5p的表达增加;以及与对照组相比,青少年肌阵挛性癫痫组hsa-miR-132-3p和hsa-miR-106b-5p的表达增加。hsa - mir - 122 - 5 - p;106 b-5p;132-3p基因也能区分不同综合征的人群。另外;许多microrna能够将耐药和药物敏感型癫痫患者与对照组区分开来;以及有海马硬化的患者和没有海马硬化的患者作为对照。结论。我们的数据允许我们提出这些microrna作为各种癫痫综合征的血浆生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Circulating microRNAs as Biomarkers of Various Forms of Epilepsy.

Background: 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. Materials and Methods: 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. Results: 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.

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