Evidence map›Paper›PMID 29951776›Full record

ArticleHistochemistry and cell biology2018

Histone deacetylase 1 expression is inversely correlated with age in the short-lived fish Nothobranchius furzeri.

Gordin Zupkovitz, Sabine Lagger, David Martin, Marianne Steiner, Astrid Hagelkruys, Christian Seiser, Christian Schöfer, Oliver Pusch

Open access · hybridAbstract read
In one paragraph

Article in Histochemistry and cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Skeletal Muscle Aging: Lessons From Teleosts.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Inhibition of bromodomain regulates cellular senescence in pancreatic adenocarcinoma.International journal of clinical and experimental pathology · 2024
    Article
  8. Article
  9. Article
  10. Review
  11. Nontraditional systems in aging research: an update.Cellular and molecular life sciences : CMLS · 2021
    Review
  12. Article
  13. Review
  14. In focus in HCB.Histochemistry and cell biology · 2020
    Article
  15. Genome-Protecting Compounds as Potential Geroprotectors.International journal of molecular sciences · 2020
    Review
  16. Epigenetic changes during aging and their reprogramming potential.Critical reviews in biochemistry and molecular biology · 2019
    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

8 authors at 3 institutions in 1 country.

Gordin ZupkovitzCenter of Anatomy and Cell Biology, Medical University of Vienna, Schwarzspanierstr. 17, 1090, Vienna, Austria.
Sabine LaggerUnit of Laboratory Animal Pathology, University of Veterinary Medicine, 1210, Vienna, Austria.
David MartinCenter of Anatomy and Cell Biology, Medical University of Vienna, Schwarzspanierstr. 17, 1090, Vienna, Austria.
Marianne SteinerCenter of Anatomy and Cell Biology, Medical University of Vienna, Schwarzspanierstr. 17, 1090, Vienna, Austria.
Astrid HagelkruysInstitute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), 1030, Vienna, Austria.
Christian SeiserCenter of Anatomy and Cell Biology, Medical University of Vienna, Schwarzspanierstr. 17, 1090, Vienna, Austria.
Christian SchöferCenter of Anatomy and Cell Biology, Medical University of Vienna, Schwarzspanierstr. 17, 1090, Vienna, Austria.
Oliver PuschCenter of Anatomy and Cell Biology, Medical University of Vienna, Schwarzspanierstr. 17, 1090, Vienna, Austria. oliver.pusch@meduniwien.ac.at.ORCID http://orcid.org/0000-0001-7166-2800
Medical University of Vienna · ATInstitute of Molecular Biotechnology · ATUniversity of Veterinary Medicine Vienna · AT

Funding

Austrian Science Fund FWF P 25807Austrian Science Fund FWF P 30642
6 · The paper itself

Abstract

Aging is associated with profound changes in the epigenome, resulting in alterations of gene expression, epigenetic landscape, and genome architecture. Class I Histone deacetylases (HDACs), consisting of HDAC1, HDAC2, HDAC3, and HDAC8, play a major role in epigenetic regulation of chromatin structure and transcriptional control, and have been implicated as key players in the pathogenesis of age-dependent diseases and disorders affecting health and longevity. Here, we report the identification of class I Hdac orthologs and their detailed spatio-temporal expression profile in the short-lived fish Nothobranchius furzeri from the onset of embryogenesis until old age covering the entire lifespan of the organism. Database search of the recently annotated N. furzeri genomes retrieved four distinct genes: two copies of hdac1 and one copy of each hdac3 and hdac8. However, no hdac2 ortholog could be identified. Phylogenetic analysis grouped the individual killifish class I Hdacs within the well-defined terminal clades. We find that upon aging, Hdac1 is significantly down-regulated in muscle, liver, and brain, and this age-dependent down-regulation in brain clearly correlates with increased mRNA levels of the cyclin-dependent kinase inhibitor cdkn1a (p21). Furthermore, this apparent reduction of class I HDACs in transcript and protein levels is mirrored in the mouse brain, highlighting an evolutionarily conserved role of class I HDACs during normal development and in the aging process.

Indexed as

AgingFishesAnimalsGene Expression ProfilingHistone Deacetylase 1ImmunohistochemistryMiceMice, Inbred C57BLSurvival AnalysisHistone Deacetylase 1AgingEpigeneticsHistone deacetylaseNothobranchius furzeri

Identifiers

PMID29951776
PMCPMC6096771
OpenAlexW2810258063

What OpenQuestion holds

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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.