Evidence map›Paper›PMID 35872752›Full record

ReviewFrontiers in medicine2022

DNA Methylation: A Target in Neuropathic Pain.

Wei Jiang, Xuan-Yu Tan, Jia-Ming Li, Peng Yu, Ming Dong

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. The Role of Methylation Modification in Neural Injury and Repair.International journal of molecular sciences · 2025
    Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
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  13. 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

5 authors at 3 institutions in 1 country.

Wei JiangDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.
Xuan-Yu TanDepartment of Neurosurgery, The First Hospital of Jilin University, Changchun, China.
Jia-Ming LiDepartment of Emergency, The First Hospital of Jilin University, Changchun, China.
Peng YuDepartment of Ophthalmology, The Second Hospital of Jilin University, Changchun, China.
Ming DongDepartment of Neurology and Neuroscience Center, The First Hospital of Jilin University, Changchun, China.
First Hospital of Jilin University · CNJilin University · CNSecond Affiliated Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuropathic pain (NP), caused by an injury or a disease affecting the somatosensory nervous system of the central and peripheral nervous systems, has become a global health concern. Recent studies have demonstrated that epigenetic mechanisms are among those that underlie NP; thus, elucidating the molecular mechanism of DNA methylation is crucial to discovering new therapeutic methods for NP. In this review, we first briefly discuss DNA methylation, demethylation, and the associated key enzymes, such as methylases and demethylases. We then discuss the relationship between NP and DNA methylation, focusing on DNA methyltransferases including methyl-CpG-binding domain (MBD) family proteins and ten-eleven translocation (TET) enzymes. Based on experimental results of neuralgia in animal models, the mechanism of DNA methylation-related neuralgia is summarized, and useful targets for early drug intervention in NP are discussed.

Indexed as

DNA methylationepigeneticgene suppressionneuropathic paintreatment

Identifiers

PMID35872752
PMCPMC9301322
OpenAlexW4284681106

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.