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CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant

AIMS: Temporal lobe epilepsy (TLE) is the most common focal epilepsy syndrome in adults and frequently develops drug resistance. Studies have investigated the value of peripheral DNA methylation signature as molecular biomarker for diagnosis or prognosis. We aimed to explore methylation biomarkers f...

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Autores principales: Xiao, Wenbiao, Liu, Chaorong, Zhong, Kuo, Ning, Shangwei, Hou, Rui, Deng, Na, Xu, Yuchen, Luo, Zhaohui, Fu, Yujiao, Zeng, Yi, Xiao, Bo, Long, Hongyu, Long, Lili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539843/
https://www.ncbi.nlm.nih.gov/pubmed/32519815
http://dx.doi.org/10.1111/cns.13394
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author Xiao, Wenbiao
Liu, Chaorong
Zhong, Kuo
Ning, Shangwei
Hou, Rui
Deng, Na
Xu, Yuchen
Luo, Zhaohui
Fu, Yujiao
Zeng, Yi
Xiao, Bo
Long, Hongyu
Long, Lili
author_facet Xiao, Wenbiao
Liu, Chaorong
Zhong, Kuo
Ning, Shangwei
Hou, Rui
Deng, Na
Xu, Yuchen
Luo, Zhaohui
Fu, Yujiao
Zeng, Yi
Xiao, Bo
Long, Hongyu
Long, Lili
author_sort Xiao, Wenbiao
collection PubMed
description AIMS: Temporal lobe epilepsy (TLE) is the most common focal epilepsy syndrome in adults and frequently develops drug resistance. Studies have investigated the value of peripheral DNA methylation signature as molecular biomarker for diagnosis or prognosis. We aimed to explore methylation biomarkers for TLE diagnosis and pharmacoresistance prediction. METHODS: We initially conducted genome‐wide DNA methylation profiling in TLE patients, and then selected candidate CpGs in training cohort and validated in another independent cohort by employing machine learning algorithms. Furthermore, nomogram comprising DNA methylation and clinicopathological data was generated to predict the drug response in the entire patient cohort. Lastly, bioinformatics analysis for CpG‐associated genes was performed using Ingenuity Pathway Analysis. RESULTS: After screening and validation, eight CpGs were identified for diagnostic biomarker with an area under the curve (AUC) of 0.81 and six CpGs for drug‐resistant prediction biomarker with an AUC of 0.79. The nomogram for drug‐resistant prediction comprised methylation risk score, disease course, seizure frequency, and hippocampal sclerosis, with AUC as high as 0.96. Bioinformatics analysis indicated drug response–related CpGs corresponding genes closely related to DNA methylation. CONCLUSIONS: This study demonstrates the ability to use peripheral DNA methylation signature as molecular biomarker for epilepsy diagnosis and drug‐resistant prediction.
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spelling pubmed-75398432020-10-09 CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant Xiao, Wenbiao Liu, Chaorong Zhong, Kuo Ning, Shangwei Hou, Rui Deng, Na Xu, Yuchen Luo, Zhaohui Fu, Yujiao Zeng, Yi Xiao, Bo Long, Hongyu Long, Lili CNS Neurosci Ther Original Articles AIMS: Temporal lobe epilepsy (TLE) is the most common focal epilepsy syndrome in adults and frequently develops drug resistance. Studies have investigated the value of peripheral DNA methylation signature as molecular biomarker for diagnosis or prognosis. We aimed to explore methylation biomarkers for TLE diagnosis and pharmacoresistance prediction. METHODS: We initially conducted genome‐wide DNA methylation profiling in TLE patients, and then selected candidate CpGs in training cohort and validated in another independent cohort by employing machine learning algorithms. Furthermore, nomogram comprising DNA methylation and clinicopathological data was generated to predict the drug response in the entire patient cohort. Lastly, bioinformatics analysis for CpG‐associated genes was performed using Ingenuity Pathway Analysis. RESULTS: After screening and validation, eight CpGs were identified for diagnostic biomarker with an area under the curve (AUC) of 0.81 and six CpGs for drug‐resistant prediction biomarker with an AUC of 0.79. The nomogram for drug‐resistant prediction comprised methylation risk score, disease course, seizure frequency, and hippocampal sclerosis, with AUC as high as 0.96. Bioinformatics analysis indicated drug response–related CpGs corresponding genes closely related to DNA methylation. CONCLUSIONS: This study demonstrates the ability to use peripheral DNA methylation signature as molecular biomarker for epilepsy diagnosis and drug‐resistant prediction. John Wiley and Sons Inc. 2020-06-10 /pmc/articles/PMC7539843/ /pubmed/32519815 http://dx.doi.org/10.1111/cns.13394 Text en © 2020 The Authors. CNS Neuroscience & Therapeutics published by John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Xiao, Wenbiao
Liu, Chaorong
Zhong, Kuo
Ning, Shangwei
Hou, Rui
Deng, Na
Xu, Yuchen
Luo, Zhaohui
Fu, Yujiao
Zeng, Yi
Xiao, Bo
Long, Hongyu
Long, Lili
CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
title CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
title_full CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
title_fullStr CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
title_full_unstemmed CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
title_short CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
title_sort cpg methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7539843/
https://www.ncbi.nlm.nih.gov/pubmed/32519815
http://dx.doi.org/10.1111/cns.13394
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