Evidence map›Paper›PMID 34377555›Full record

ArticleActa naturae

DNA Methylation As an Epigenetic Mechanism in the Development of Multiple Sclerosis.

I S Kiselev, O G Kulakova, A N Boyko, O O Favorova

Open access · diamondAbstract read
In one paragraph

Article in Acta naturae. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 56 citations in OpenAlex.

  1. Article
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  4. Review
  5. Epigenomic landscape of nasopharyngeal carcinoma.Medical oncology (Northwood, London, England) · 2025
    Review
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  8. Article
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  19. Decoding the genetic landscape of autism: A comprehensive review.World journal of clinical pediatrics · 2024
    Article
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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

4 authors at 1 institution in 1 country.

I S KiselevPirogov Russian National Research Medical University, Moscow, 117997 Russia.
O G KulakovaPirogov Russian National Research Medical University, Moscow, 117997 Russia.
A N BoykoPirogov Russian National Research Medical University, Moscow, 117997 Russia.
O O FavorovaPirogov Russian National Research Medical University, Moscow, 117997 Russia.
Pirogov Russian National Research Medical University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epigenetic mechanisms of gene expression regulation are a group of the key cellular and molecular pathways that lead to inherited alterations in genes' activity without changing their coding sequence. DNA methylation at the C5 position of cytosine in CpG dinucleotides is amongst the central epigenetic mechanisms. Currently, the number of studies that are devoted to the identification of methylation patterns specific to multiple sclerosis (MS), a severe chronic autoimmune disease of the central nervous system, is on a rapid rise. However, the issue of the contribution of DNA methylation to the development of the different clinical phenotypes of this highly heterogeneous disease has only begun to attract the attention of researchers. This review summarizes the data on the molecular mechanisms underlying DNA methylation and the MS risk factors that can affect the DNA methylation profile and, thereby, modulate the expression of the genes involved in the disease's pathogenesis. The focus of our attention is centered on the analysis of the published data on the differential methylation of DNA from various biological samples of MS patients obtained using both the candidate gene approach and high-throughput methods.

Indexed as

DNA methylationepigeneticsmultiple sclerosis

Identifiers

PMID34377555
PMCPMC8327151
OpenAlexW3189348501

What OpenQuestion holds

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Registered trials

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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.