Epigenetic mechanisms are histone and DNA modifications that affect gene activity without
changing the DNA sequence and have been identified as critical mediators of large-scale gene
transcription programs in the brain. Disruptions in any of these epigenetic processes
contribute to aberrant neuronal activity in epilepsy.[1,2] DNA methylation is a well-studied epigenetic modification involved in the silencing
of gene transcription and chromatin plasticity in epilepsy.[2-9] Two major forms of DNA methylation have been studied in the brain, DNA methylation at
5-methylcytosine (5-mC) mediated by DNA methyltransferases and the partial oxidation of 5-mC
by the ten-eleven translocation family of dioxygenases to 5-hydroxymethylcytosine (5-hmC).[2] Both 5-mC and 5-hmC DNA methylation forms are dynamically controlled and considered
to be stable epigenetic marks required for gene transcription homeostasis. Hence, an
imbalance in DNA methylation, that is, hypo or hypermethylation, can alter gene networks and
influence synaptic plasticity,[10] which may contribute to early-life seizures.[11]Febrile seizures occur in 2% to 4% of children younger than 6 years in Europe and the
United States, with peak incidence at 18 months of age. Childhood seizures can result in
cellular and molecular changes that are potential risk factors for the development of
epilepsy, in conjunction with a high association with neurodevelopmental conditions and
learning and behavioral disabilities.[12,13] Over the years, genome-wide association epilepsy studies have focused on the
identification of common genetic variants linked to epilepsy etiology in hopes of developing
novel preventive strategies for therapeutic intervention.[14,15] However, epigenome-wide association studies (EWAS) have proven to be an additional
factor to consider in the identification of high-risk gene loci in epilepsy.In this study, Caramaschi and colleagues employed a combination of investigative techniques
to determine whether blood DNA methylation tracked with the occurrence of seizures in
childhood and adolescence. Using a prospective birth cohort study based in the United
Kingdom, the Avon Longitudinal Study of Parents and Children (ALSPAC), Caramaschi and
colleagues examined the epigenome-wide association of DNA methylation in the peripheral
blood of children. To analyze seizures within the chosen cohorts from ALSPAC and Generation
R cohorts, questionnaires were assigned to the parents of epilepticchildren near the time
of seizure episodes to decrease recollection biases. Modeled DNA methylation blood sampling
from ALSPAC cohorts included mother–child pairs at several time points, which allowed
age-specific cross-sectional analyses. Blood samples included the following: blood
methylation, seizure status, age, sex, birth weight (only used for infants), gestational
age, maternal prenatal smoking, maternal education, nucleated red blood cells, granulocytes,
monocytes, natural killer cells, B cells + CD4(+)T cells, CD8(+)T cells, SV1 +…+ SV15.Regarding bioinformatic analyses, Caramaschi and colleagues collected meticulous
information from obstetric records and models for DNA methylation were adjusted with
specific analytical methods. Replication analyses were performed in multiple cohorts,
exhausting numerous statistical analyses. Additionally, the authors used false discovery
rate (FDR) correction for seizures that scored below the threshold to look at DNA
methylation at specific cytosines followed by guanine residues (CpG) sites. In a second
replication analysis, the authors used the Infinium HumanMethylation450 (HM450) BeadChip for
assessment of DNA methylation in peripheral blood from children. A final cohort affected
with or without seizures was analyzed with probes against the brain-derived neurotrophic
factor (BDNF) gene on Generation R on EWAS FDR-corrected methylation sites.
The Mendelian randomization method was used to examine EWAS results for CpG sites to
determine a possible causal relationship between DNA methylation and seizure/epilepsy.Blood DNA methylation analyses revealed similar changes in blood and brain DNA methylation
levels at the BDNF gene. Caramaschi and colleagues speculate that
BDNF DNA methylation in blood samples might be linked to epigenetic
changes in brain regions impacted by seizure/epilepsy episodes. The authors observed
hypermethylation at the promoter and within introns of the BDNF gene, which
correlated with seizures with the Mendelian randomization analysis. However, changes in
BDNF mRNA levels in blood were not supported by their Mendelian
randomization analysis of seizures method. Hence, the authors concluded that this unexpected
finding was because BDNF mRNA levels in blood might be very low.
Furthermore, when the authors analyzed DNA methylation in cross-tissue blood–brain
concordance in 3 independent databases at 5 CpG sites that passed FDR correction in ALSPAC,
the assumption that brain DNA methylation reflected changes in blood DNA methylation was not
replicated, as this association was not observed in other human nor animal studies.
Interestingly, the MACROD2 gene had promising associations with
seizure-induced DNA methylation represented at a CpG site within the
MACROD2 gene region, which had the strongest blood–brain correlation in
the temporal cortex with low correlation in other brain regions. Analysis of
MACROD2 DNA methylation was not explored in the blood–brain concordance
studies from the ALSPAC database.There are several limitations to the study that may explain the more negative results and
lack of replication. First, while it is appreciated that the authors used serum assays as a
less invasive, more practical method for analysis of DNA methylation, whole blood
preparations may not necessarily reflect all DNA methylation changes occurring in the brain.
However, blood-derived exosome preparations may prove to be more reflective of these
epigenetic changes. Exosomes are vesicle containing protein, DNA, and RNA that are secreted
from cells and taken up by distant cells to affect cellular function and behavior.[16] Another limitation of the study is that the authors did not consider the
antiepileptic drugs (AEDs) regimen of epilepticpatients which could have modified DNA
methylation levels and influenced findings. Additionally, consideration of the medical
history of the parents with genetic epilepsy and how their AEDs regimen could have impacted
DNA methylation mechanisms in the offspring. Another major limitation of the study is that
the DNA methylation detection strategy employed in the study does not distinguish between
the 2 forms of DNA methylation, 5-mC and 5-hmC individually, but rather detects accumulative
changes in both 5-mC and 5-hmC levels. Thus, future studies should consider analysis of 5-mC
or 5-hmC DNA methylation markers individually in peripheral blood and in brain regions of
epilepticpatients across the different age groups. This could have greatly reduced
variability and identified whether 5-mC, 5-hmC, or both DNA methylation forms were altered
in blood samples. Finally, transcriptional states of the pathogenic variants in genes
encoding for epigenetic enzymes that modify DNA and histones, control splicing, remodel
chromatin, or modulate enhancers should be evaluated in epilepsy and/or seizures.In conclusion, this study faced many challenges in conducting these EWAS, which no doubt,
limited any definitive conclusions on whether seizures and blood DNA methylation changes
correlated with childhood and adolescence epilepsy. Nonetheless, a major strength of the
study that remains is the developmental assessment of DNA methylation changes in blood and
brain across several ages, suggesting that the positive brain–blood correlations may have
been developmentally influenced. Therefore, future studies should consider epigenetic
factors that are developmentally regulated by seizures and in epilepsy.
Authors: Katja Kobow; Ina Jeske; Michelle Hildebrandt; Jan Hauke; Eric Hahnen; Rolf Buslei; Michael Buchfelder; Daniel Weigel; Hermann Stefan; Burkhard Kasper; Elisabeth Pauli; Ingmar Blümcke Journal: J Neuropathol Exp Neurol Date: 2009-04 Impact factor: 3.685
Authors: R Ryley Parrish; A J Albertson; S C Buckingham; J J Hablitz; K L Mascia; W Davis Haselden; F D Lubin Journal: Neuroscience Date: 2013-06-27 Impact factor: 3.590
Authors: Doretta Caramaschi; Charlie Hatcher; Rosa H Mulder; Janine F Felix; Charlotte A M Cecil; Caroline L Relton; Esther Walton Journal: Clin Epigenetics Date: 2020-01-08 Impact factor: 6.551