Frontiers in Neuroscience (Jul 2020)

NR4A1 Methylation Associated Multimodal Neuroimaging Patterns Impaired in Temporal Lobe Epilepsy

  • Dongmei Zhi,
  • Dongmei Zhi,
  • Wenyue Wu,
  • Wenyue Wu,
  • Bo Xiao,
  • Shile Qi,
  • Rongtao Jiang,
  • Rongtao Jiang,
  • Xingdong Yang,
  • Jian Yang,
  • Wenbiao Xiao,
  • Chaorong Liu,
  • Hongyu Long,
  • Vince D. Calhoun,
  • Lili Long,
  • Jing Sui,
  • Jing Sui,
  • Jing Sui,
  • Jing Sui

DOI
https://doi.org/10.3389/fnins.2020.00727
Journal volume & issue
Vol. 14

Abstract

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DNA hypermethylation has been widely observed in temporal lobe epilepsy (TLE), in which NR4A1 knockdown has been reported to be able to alleviate seizure severity in mouse model, while the underlying methylation-imaging pathway modulated by aberrant methylation levels of NR4A1 remains to be clarified in patients with TLE. Here, using multi-site canonical correlation analysis with reference, methylation levels of NR4A1 in blood were used as priori to guide fusion of three MRI features: functional connectivity (FC), fractional anisotropy (FA), and gray matter volume (GMV) for 56 TLE patients and 65 healthy controls. Post-hoc correlations were further evaluated between the identified NR4A1-associated brain components and disease onset. Results suggested that higher NR4A1 methylation levels in TLE were related with impaired temporal-cerebellar and occipital-cerebellar FC strength, lower FA in cingulum (hippocampus), and reduced GMV in putamen, temporal pole, and cerebellum. Moreover, findings were also replicated well in both patient subsets with either right TLE or left TLE only. Particularly, right TLE patients showed poorer cognitive abilities and more severe brain impairment than left TLE patients, especially more reduced GMV in thalamus. In summary, this work revealed a potential imaging-methylation pathway modulated by higher NR4A1 methylation in TLE via data mining, which may impact the above-mentioned multimodal brain circuits and was also associated with earlier disease onset and more cognitive deficits.

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