Back

Neuron-Specific DNA Methylation Differences in the Prefrontal Cortex in Parkinson's Disease

Klokkaris, A.; Hannon, E.; Burrage, J.; Chioza, B.; Smith, A. R.; Harvey, J.; Franklin, A.; Weymouth, L.; Imm, J.; Lunnon, K.; Dempster, E. L.; Mill, J.; Migdalska-Richards, A.

2026-02-09 genetic and genomic medicine
10.64898/2026.02.03.26344617 medRxiv
Show abstract

Parkinsons disease (PD) is a progressive movement disorder that affects over ten million individuals worldwide. While the involvement of genetically-driven cellular mechanisms in PD pathogenesis is well-established, there is increasing evidence that epigenetic dysregulation also plays a key role. We profiled genome-wide DNA methylation in isolated neuronal, oligodendrocyte and other glial nuclei populations from the prefrontal cortex of 71 PD and 56 control individuals. We identified seven significant differentially methylated positions in neuronal nuclei associated with PD. All these sites were hypermethylated in PD, with five of the differentially methylated positions located in the following genes: ROBO4, SSBP2, PDE4B, NPHP1, and HSD17B12. No differentially methylated positions were observed in oligodendrocyte or other glial nuclei, highlighting the neuronal specificity of PD-associated methylation changes. Comparison with a large bulk brain meta-analysis of Lewy body pathology confirmed concordant directionality for [~]79% of neuronal differentially methylated positions, indicating that bulk tissue signals primarily reflect neuronal alterations. Together, these findings provide the first cell type-resolved map of DNA methylation changes in the PD cortex, revealing neuronal-specific hypermethylation at novel loci and emphasizing the importance of cell type-specific analyses in disentangling the molecular heterogeneity of PD. This study lays the groundwork for future multi-omics and region-specific studies aimed at uncovering mechanisms underlying disease vulnerability and progression at the cellular level.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Brain
154 papers in training set
Top 0.1%
26.2%
2
Nature Communications
4913 papers in training set
Top 13%
12.9%
3
Genome Medicine
154 papers in training set
Top 0.6%
8.3%
4
Nature Genetics
240 papers in training set
Top 1%
4.9%
50% of probability mass above
5
npj Parkinson's Disease
89 papers in training set
Top 0.5%
4.4%
6
The American Journal of Human Genetics
206 papers in training set
Top 1%
4.0%
7
Cell
370 papers in training set
Top 8%
2.6%
8
Science Advances
1098 papers in training set
Top 10%
2.6%
9
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 27%
2.1%
10
Neurobiology of Aging
95 papers in training set
Top 1%
1.7%
11
Human Molecular Genetics
130 papers in training set
Top 2%
1.7%
12
Neurobiology of Disease
134 papers in training set
Top 3%
1.7%
13
Annals of Neurology
57 papers in training set
Top 1%
1.7%
14
Scientific Reports
3102 papers in training set
Top 63%
1.3%
15
Movement Disorders
62 papers in training set
Top 0.8%
1.2%
16
Cell Metabolism
49 papers in training set
Top 1%
1.2%
17
Molecular Neurodegeneration
49 papers in training set
Top 0.7%
1.1%
18
Journal of Clinical Investigation
164 papers in training set
Top 5%
0.9%
19
eLife
5422 papers in training set
Top 53%
0.9%
20
Neuron
282 papers in training set
Top 7%
0.9%
21
Nature Aging
51 papers in training set
Top 1%
0.9%
22
Cell Reports
1338 papers in training set
Top 31%
0.8%
23
Cell Genomics
162 papers in training set
Top 6%
0.8%
24
Aging Cell
144 papers in training set
Top 3%
0.8%
25
Nature
575 papers in training set
Top 15%
0.8%
26
Brain Communications
147 papers in training set
Top 3%
0.8%
27
Science Translational Medicine
111 papers in training set
Top 7%
0.7%
28
Alzheimer's & Dementia
143 papers in training set
Top 3%
0.7%
29
Genome Biology
555 papers in training set
Top 9%
0.5%
30
Nature Neuroscience
216 papers in training set
Top 7%
0.5%