Cargando…
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...
Autores principales: | , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783591105552449536 |
---|---|
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. |
format | Online Article Text |
id | pubmed-7539843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT xiaowenbiao cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT liuchaorong cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT zhongkuo cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT ningshangwei cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT hourui cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT dengna cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT xuyuchen cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT luozhaohui cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT fuyujiao cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT zengyi cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT xiaobo cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT longhongyu cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant AT longlili cpgmethylationsignaturedefineshumantemporallobeepilepsyandpredictsdrugresistant |