Literature DB >> 28863320

NTRK2 (TrkB gene) variants and temporal lobe epilepsy: A genetic association study.

Carolina Machado Torres1, Marina Siebert2, Hugo Bock2, Suelen Mandelli Mota3, Bárbara Reis Krammer3, Juliana Ávila Duarte4, José Augusto Bragatti5, Juliana Unis Castan5, Luiza Amaral de Castro6, Maria Luiza Saraiva-Pereira7, Marino Muxfeldt Bianchin8.   

Abstract

OBJECTIVE: The NTRK2 gene encodes a member of the neurotrophic tyrosine kinase receptor family known as TrkB. It is a membrane-associated receptor with signaling and cellular differentiation properties that has been involved in neuropsychiatric disorders, including epilepsy. We report here the frequencies of NTRK2 allele variants in patients with temporal lobe epilepsy (TLE) compared to controls without epilepsy and explore the impact of these polymorphisms on major clinical variables in TLE.
METHODS: A case-control study comparing the frequencies of the NTRK2 gene polymorphisms beween 198 TLE Caucasian patients and 200 matching controls without epilepsy. In a second step, the impact of allelic variation on major clinical and electroencephalographic epilepsy variables was evaluated in the group of TLE patients. The following polymorphisms were determined by testing different regions of the NTRK2 gene: rs1867283, rs10868235, rs1147198, rs11140800, rs1187286, rs2289656, rs1624327, rs1443445, rs3780645, and rs2378672. To correct for multiple correlations the level of significance was set at p<0.01.
RESULTS: Patients with TLE showed a statistical trend for increase of the T/T genotype in rs10868235 compared to control (O.R.=1.90; 95%CI=1.17-3.09; p=0.01). Homozygous patients for the A allele in rs1443445 had earlier mean age at onset of seizures, p=0.009 (mean age of 16.6 versus 22.4years). We also observed that the T allele in rs3780645 was more frequent in patients who needed polytheraphy for seizure control than in patients on monotherapy, (O.R.=4.13; 95%CI=1.68-10.29; p=0.001). This finding may reflect an increased difficulty to obtain seizure control in this group of patients. No additional differences were observed in this study.
CONCLUSIONS: Patients with epilepsy showed a trend for a difference in rs10868235 allelic distribution compared to controls without epilepsy. NTRK2 variability influenced age at seizure onset and the pharmacological response to seizure control. As far as we know, this is the first study showing an association between NTKR2 allelic variants in human epilepsy. We believe that further studies in this venue will shade some light on the molecular mechanisms involved in epileptogenesis and in the clinical characteristics of epilepsy.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  BDNF; Epileptogenesis; Neurotrophins; Polymorphisms; Temporal lobe epilepsy; TrkB

Mesh:

Substances:

Year:  2017        PMID: 28863320     DOI: 10.1016/j.eplepsyres.2017.08.010

Source DB:  PubMed          Journal:  Epilepsy Res        ISSN: 0920-1211            Impact factor:   3.045


  4 in total

1.  An Analysis of Five TrkB Gene Polymorphisms in Schizophrenia and the Interaction of Its Haplotype with rs6265 BDNF Gene Polymorphism.

Authors:  Renata Suchanek-Raif; Paweł Raif; Małgorzata Kowalczyk; Monika Paul-Samojedny; Aleksandra Zielińska; Krzysztof Kucia; Wojciech Merk; Jan Kowalski
Journal:  Dis Markers       Date:  2020-04-13       Impact factor: 3.434

2.  Impaired Cognitive Abilities in Siblings of Patients with Temporal Lobe Epilepsy.

Authors:  Langzi Tan; Yayu Chen; Wenyue Wu; Chaorong Liu; Yujiao Fu; Jialinzi He; Min Zhang; Ge Wang; Kangrun Wang; Hongyu Long; Wenbiao Xiao; Bo Xiao; Lili Long
Journal:  Neuropsychiatr Dis Treat       Date:  2020-12-14       Impact factor: 2.570

3.  Potential Pleiotropic Genes and Shared Biological Pathways in Epilepsy and Depression Based on GWAS Summary Statistics.

Authors:  Han Lin; Wan-Hui Lin; Feng Lin; Chang-Yun Liu; Chun-Hui Che; Hua-Pin Huang
Journal:  Comput Intell Neurosci       Date:  2022-04-12

Review 4.  Genetic Landscape of Common Epilepsies: Advancing towards Precision in Treatment.

Authors:  Sarita Thakran; Debleena Guin; Pooja Singh; Priyanka Singh; Samiksha Kukal; Chitra Rawat; Saroj Yadav; Suman S Kushwaha; Achal K Srivastava; Yasha Hasija; Luciano Saso; Srinivasan Ramachandran; Ritushree Kukreti
Journal:  Int J Mol Sci       Date:  2020-10-21       Impact factor: 5.923

  4 in total

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