CpG methylation signature defines human temporal lobe epilepsy and predicts drug‐resistant. (10th June 2020)

• Record Type: Journal Article
• Authors: 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
• Is Part Of: CNS neuroscience & therapeutics. Volume 26:Number 10(2020)
• Page Start: 1021
• Page End: 1030
• Publication Date: 2020-06-10
• Subjects: biomarker -- DNA methylation -- machine learning -- nomogram -- temporal lobe epilepsy; Neuropharmacology -- Periodicals; Central nervous system -- Diseases -- Effect of drugs on -- Periodicals; 612.8
• DOI: 10.1111/cns.13394
• Languages: English
• ISSNs: 1755-5930

Abstract

Abstract: 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.