Evidence map›Paper›PMID 36959512›Full record

ReviewNature metabolism2023

Epitranscriptomics in metabolic disease.

Yoshihiro Matsumura, Fan-Yan Wei, Juro Sakai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
7.5field-weighted citation impact, top 2% 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

28 citing papers in PubMed, 49 citations in OpenAlex.

  1. Review
  2. Sweat components as a promising monitoring tool for systemic diseases.The journal of physiological sciences : JPS · 2026
    Review
  3. The impact of psuedouridine modification on human tRNA.Biochemical Society transactions · 2026
    Review
  4. Review
  5. Review
  6. Article
  7. NSUN7 is a catalytically inactive RNA mNature communications · 2025
    Article
  8. Article
  9. Global mapping of RNA NBiomarker research · 2025
    Article
  10. Article
  11. mExperimental & molecular medicine · 2025
    Review
  12. CRISPR RiPCA for Investigating eIF4E-mACS chemical biology · 2025
    Article
  13. Review
  14. Article
  15. Queuosine tRNA Modification: Connecting the Microbiome to the Translatome.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
  16. Article
  17. Divergent roles of mNature communications · 2025
    Article
  18. Review
  19. Review
  20. 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

3 authors at 1 institution in 1 country.

Yoshihiro Matsumura *Division of Molecular Physiology and Metabolism, Tohoku University Graduate School of Medicine, Sendai, Japan.ORCID http://orcid.org/0000-0002-3108-0440
Fan-Yan Wei *Department of Modomics Biology and Medicine, Institute of Development, Aging and Cancer (IDAC), Tohoku University, Sendai, Japan.ORCID http://orcid.org/0000-0002-4843-724X
Juro SakaiDivision of Molecular Physiology and Metabolism, Tohoku University Graduate School of Medicine, Sendai, Japan. jmsakai@med.tohoku.ac.jp.ORCID http://orcid.org/0000-0003-4043-1035
Tohoku University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While epigenetic modifications of DNA and histones play main roles in gene transcription regulation, recently discovered post-transcriptional RNA modifications, known as epitranscriptomic modifications, have been found to have a profound impact on gene expression by regulating RNA stability, localization and decoding efficiency. Importantly, genetic variations or environmental perturbations of epitranscriptome modifiers (that is, writers, erasers and readers) are associated with obesity and metabolic diseases, such as type 2 diabetes. The epitranscriptome is closely coupled to epigenetic signalling, adding complexity to our understanding of gene expression in both health and disease. Moreover, the epitranscriptome in the parental generation can affect organismal phenotypes in the next generation. In this Review, we discuss the relationship between epitranscriptomic modifications and metabolic diseases, their relationship with the epigenome and possible therapeutic strategies.

Indexed as

Diabetes Mellitus, Type 2Metabolic DiseasesEpigenesis, GeneticGene Expression RegulationHumansRNA Processing, Post-Transcriptional

Identifiers

PMID36959512
OpenAlexW4360610671

What OpenQuestion holds

Textmetadata
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.