Evidence map›Paper›PMID 38995454›Full record

ArticleActa neuropathologica2024

DNA methylation patterns in the frontal lobe white matter of multiple system atrophy, Parkinson's disease, and progressive supranuclear palsy: a cross-comparative investigation.

Megha Murthy, Katherine Fodder, Yasuo Miki, Naiomi Rambarack, Eduardo De Pablo Fernandez, Lasse Pihlstrøm, Jonathan Mill, Thomas T Warner, Tammaryn Lashley, Conceição Bettencourt

Abstract readComparative Study
In one paragraph

Article in Acta neuropathologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Cross-disease genetic and epigenetic architecture of thebioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. DNA methylation as a contributor to dysregulation ofbioRxiv : the preprint server for biology · 2025
    Article
  6. Article
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

10 authors.

Megha MurthyQueen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
Katherine FodderQueen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
Yasuo MikiDepartment of Neuropathology, Institute of Brain Science, Hirosaki University Graduate School of Medicine, Hirosaki, Japan.
Naiomi RambarackQueen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
Eduardo De Pablo FernandezQueen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
Lasse PihlstrømDepartment of Neurology, Oslo University Hospital, Oslo, Norway.
Jonathan MillDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Thomas T WarnerQueen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK.
Tammaryn LashleyDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Conceição BettencourtQueen Square Brain Bank for Neurological Disorders, UCL Queen Square Institute of Neurology, London, UK. c.bettencourt@ucl.ac.uk.ORCID 0000-0001-9090-7690

Funding

Medical Research Council MR/N013867/1Medical Research Council N013255/1
6 · The paper itself

Abstract

Multiple system atrophy (MSA) is a rare neurodegenerative disease characterized by neuronal loss and gliosis, with oligodendroglial cytoplasmic inclusions (GCIs) containing α-synuclein being the primary pathological hallmark. Clinical presentations of MSA overlap with other parkinsonian disorders, such as Parkinson's disease (PD), dementia with Lewy bodies (DLB), and progressive supranuclear palsy (PSP), posing challenges in early diagnosis. Numerous studies have reported alterations in DNA methylation in neurodegenerative diseases, with candidate loci being identified in various parkinsonian disorders including MSA, PD, and PSP. Although MSA and PSP present with substantial white matter pathology, alterations in white matter have also been reported in PD. However, studies comparing the DNA methylation architectures of white matter in these diseases are lacking. We therefore aimed to investigate genome-wide DNA methylation patterns in the frontal lobe white matter of individuals with MSA (n = 17), PD (n = 17), and PSP (n = 16) along with controls (n = 15) using the Illumina EPIC array, to identify shared and disease-specific DNA methylation alterations. Genome-wide DNA methylation profiling of frontal lobe white matter in the three parkinsonian disorders revealed substantial commonalities in DNA methylation alterations in MSA, PD, and PSP. We further used weighted gene correlation network analysis to identify disease-associated co-methylation signatures and identified dysregulation in processes relating to Wnt signaling, signal transduction, endoplasmic reticulum stress, mitochondrial processes, RNA interference, and endosomal transport to be shared between these parkinsonian disorders. Our overall analysis points toward more similarities in DNA methylation patterns between MSA and PD, both synucleinopathies, compared to that between MSA and PD with PSP, which is a tauopathy. Our results also highlight several shared DNA methylation changes and pathways indicative of converging molecular mechanisms in the white matter contributing toward neurodegeneration in all three parkinsonian disorders.

Indexed as

DNA MethylationFrontal LobeMultiple System AtrophyParkinson DiseaseSupranuclear Palsy, ProgressiveWhite MatterAgedAged, 80 and overFemaleHumansMaleMiddle AgedDNA methylationEWASMultiple system atrophyParkinsonian disordersParkinson’s diseaseProgressive supranuclear palsyWGCNA

Identifiers

PMID38995454
PMCPMC11245434

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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.