Evidence map›Paper›PMID 35454993›Full record

ArticleLife (Basel, Switzerland)2022

Epigenome-Wide Analysis of DNA Methylation in Parkinson's Disease Cortex.

Oliver Kaut, Ina Schmitt, Fabian Stahl, Holger Fröhlich, Per Hoffmann, Frank J Gonzalez, Ullrich Wüllner

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 36 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Epigenetic mechanisms of Parkinson's disease and potential epigenetic-based therapeutics.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Review
  4. Article
  5. Article
  6. Article
  7. An Overview of Epigenetic Changes in the Parkinson's Disease Brain.International journal of molecular sciences · 2024
    Review
  8. Review
  9. Article
  10. Synucleinopathies: Intrinsic and Extrinsic Factors.Cell biochemistry and biophysics · 2023
    Article
  11. Review
  12. Article
  13. DNA Methylation in Alcohol Use Disorder.International journal of molecular sciences · 2023
    Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Oliver KautDepartment of Neurology, University of Bonn, 53105 Bonn, Germany.
Ina SchmittDepartment of Neurology, University of Bonn, 53105 Bonn, Germany.
Fabian StahlDZNE (Deutsches Zentrum für Neurodegenerative Erkrankungen), 53105 Bonn, Germany.
Holger FröhlichAlgorithmic Bioinformatics for B-IT, University of Bonn, 53113 Bonn, Germany.ORCID 0000-0002-5328-1243
Per HoffmannLife & Brain Center, Institute for Human Genetics, Department of Genomics, University of Bonn, 53113 Bonn, Germany.
Frank J GonzalezLaboratory of Metabolism, National Cancer Institute, Bethesda, MD 20892, USA.
Ullrich WüllnerDepartment of Neurology, University of Bonn, 53105 Bonn, Germany.ORCID 0000-0002-3132-0790
University of Bonn · DEGerman Center for Neurodegenerative Diseases · DENational Cancer Institute · US

Funding

Xenobiotic receptorsZIABC005562 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI GONZALEZ, FRANK J · 2009 to 2025
$26.9M
6 · The paper itself

Abstract

Background: Epigenetic factors including DNA methylation contribute to specific patterns of gene expression. Gene−environment interactions can change the methylation status in the brain, and accumulation of these epigenetic changes over a lifespan may be co-responsible for a neurodegenerative disease like Parkinson’s disease, which that is characterised by a late onset in life. Aims: To determine epigenetic modifications in the brains of Parkinson’s disease patients. Patients and Methods: DNA methylation patterns were compared in the cortex tissue of 14 male PD patients and 10 male healthy individuals using the Illumina Methylation 450 K chip. Subsequently, DNA methylation of candidate genes was evaluated using bisulphite pyrosequencing, and DNA methylation of cytochrome P450 2E1 (CYP2E1) was characterized in DNA from blood mononuclear cells (259 PD patients and 182 healthy controls) and skin fibroblasts (10 PD patients and 5 healthy controls). Protein levels of CYP2E1 were analysed using Western blot in human cortex and knock-out mice brain samples. Results: We found 35 hypomethylated and 22 hypermethylated genes with a methylation M-value difference >0.5. Decreased methylation of cytochrome P450 2E1 (CYP2E1) was associated with increased protein levels in PD brains, but in peripheral tissues, i.e., in blood cells and skin fibroblasts, DNA methylation of CYP2E1 was unchanged. In CYP2E1 knock-out mice brain alpha-synuclein (SNCA) protein levels were down-regulated compared to wild-type mice, whereas treatment with trichloroethylene (TCE) up-regulated CYP2E1 protein in a dose-dependent manner in cultured cells. We further identified an interconnected group of genes associated with oxidative stress, such as Methionine sulfoxide reductase A (MSRA) and tumour protein 73 (TP73) in the brain, which again were not paralleled in other tissues and appeared to indicate brain-specific changes. Conclusions: Our study revealed surprisingly few dysmethylated genes in a brain region less affected in PD. We confirmed hypomethylation of CYP2E1.

Indexed as

cortexDNA methylationepigeneticsParkinson’s disease

Identifiers

PMID35454993
PMCPMC9025601
OpenAlexW4220757330

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.