Evidence map›Paper›PMID 37158274›Full record

ArticleNucleic acids research2023

Crucial role of iron in epigenetic rewriting during adipocyte differentiation mediated by JMJD1A and TET2 activity.

Tomohiro Suzuki, Tetsuro Komatsu, Hiroshi Shibata, Akiko Tanioka, Diana Vargas, Reika Kawabata-Iwakawa, Fumihito Miura, Shinnosuke Masuda, Mayuko Hayashi, Kyoko Tanimura-Inagaki and 13 more

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
6.0field-weighted citation impact, top 3% 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

25 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Research progress of ferroptosis in obesity and its complications.Journal of physiology and biochemistry · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Ether lipids influence cancer cell fate by modulating iron uptake.bioRxiv : the preprint server for biology · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Why cells need iron: a compendium of iron utilisation.Trends in endocrinology and metabolism: TEM · 2024
    Review
  19. Article
  20. Versatile JMJD proteins: juggling histones and much more.Trends in biochemical sciences · 2024
    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

23 authors at 5 institutions in 1 country.

Tomohiro SuzukiLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Tetsuro KomatsuLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Hiroshi ShibataLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Akiko TaniokaLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Diana VargasLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.ORCID 0000-0002-2662-1687
Reika Kawabata-IwakawaDivision of Integrated Oncology Research, Gunma University Initiative for Advanced Research, Gunma University, Gunma371-8511, Japan.ORCID 0000-0002-3504-1393
Fumihito MiuraDepartment of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka 812-8582, Japan.ORCID 0000-0003-2656-486X
Shinnosuke MasudaLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Mayuko HayashiLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Kyoko Tanimura-InagakiLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Sumiyo MoritaLaboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Junki KohmaruInstitute for Molecular and Cellular Regulation Joint Usage/Research Support Center, Gunma University, Gunma371-8512, Japan.
Koji AdachiKaihin Makuhari Laboratory, PerkinElmer Japan Co., Ltd., Chiba261-8501, Japan.
Masayuki ToboInstitute for Molecular and Cellular Regulation Joint Usage/Research Support Center, Gunma University, Gunma371-8512, Japan.
Hideru ObinataEducation and Research Support Center, Gunma University Graduate School of Medicine, Gunma371-8511, Japan.
Tasuku HirayamaLaboratory of Pharmaceutical and Medicinal Chemistry, Gifu Pharmaceutical University, Gifu501-1196, Japan.
Hiroshi KimuraCell Biology Center, Tokyo Institute of Technology, Kanagawa226-8503, Japan.ORCID 0000-0003-0854-083X
Juro SakaiDivision of Metabolic Medicine, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo153-8904, Japan.
Hideko NagasawaLaboratory of Pharmaceutical and Medicinal Chemistry, Gifu Pharmaceutical University, Gifu501-1196, Japan.
Hideyuki ItabashiGraduate School of Science and Technology, Gunma University, Gunma376-8515, Japan.
Izuho HatadaLaboratory of Genome Science, Biosignal Genome Resource Center, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.
Takashi ItoDepartment of Biochemistry, Kyushu University Graduate School of Medical Sciences, Fukuoka 812-8582, Japan.ORCID 0000-0001-6097-2803
Takeshi InagakiLaboratory of Epigenetics and Metabolism, Institute for Molecular and Cellular Regulation, Gunma University, Gunma371-8512, Japan.ORCID 0000-0003-1711-8286
Gunma University · JPGifu Pharmaceutical University · JPKyushu University · JPTohoku University · JPTokyo Institute of Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron metabolism is closely associated with the pathogenesis of obesity. However, the mechanism of the iron-dependent regulation of adipocyte differentiation remains unclear. Here, we show that iron is essential for rewriting of epigenetic marks during adipocyte differentiation. Iron supply through lysosome-mediated ferritinophagy was found to be crucial during the early stage of adipocyte differentiation, and iron deficiency during this period suppressed subsequent terminal differentiation. This was associated with demethylation of both repressive histone marks and DNA in the genomic regions of adipocyte differentiation-associated genes,  including Pparg, which encodes PPARγ, the master regulator of adipocyte differentiation. In addition, we identified several epigenetic demethylases to be responsible for iron-dependent adipocyte differentiation, with the histone demethylase jumonji domain-containing 1A and the DNA demethylase ten-eleven translocation 2 as the major enzymes. The interrelationship between repressive histone marks and DNA methylation was indicated by an integrated genome-wide association analysis, and was also supported by the findings that both histone and DNA demethylation were suppressed by either the inhibition of lysosomal ferritin flux or the knockdown of iron chaperone poly(rC)-binding protein 2. In summary, epigenetic regulations through iron-dependent control of epigenetic enzyme activities play an important role in the organized gene expression mechanisms of adipogenesis.

Indexed as

Genome-Wide Association StudyIronAdipocytesDNA MethylationEpigenesis, GeneticJumonji Domain-Containing Histone DemethylasesIronJumonji Domain-Containing Histone Demethylases

Identifiers

PMID37158274
PMCPMC10325906
OpenAlexW4375955814

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.