Evidence map›Paper›PMID 40047287›Full record

ArticleAdipocyte2025

Pharmacological inhibition of SUMOylation with TAK-981 mimics genetic HypoSUMOylation in murine perigonadal white adipose tissue.

Damien Dufour, Xu Zhao, Florian Chaleil, Patrizia Maria Christiane Nothnagel, Magnar Bjørås, Anne-Marie Lefrançois-Martinez, Antoine Martinez, Pierre Chymkowitch

Abstract read
In one paragraph

Article in Adipocyte, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

8 authors.

Damien DufourInstitut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont-Ferrand, France.ORCID 0000-0002-1220-1745
Xu ZhaoDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0002-0233-9660
Florian ChaleilInstitut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont-Ferrand, France.
Patrizia Maria Christiane NothnagelDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.
Magnar BjøråsDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.ORCID 0000-0001-8759-1170
Anne-Marie Lefrançois-MartinezInstitut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont-Ferrand, France.
Antoine MartinezInstitut Génétique, Reproduction & Développement (iGReD), CNRS, INSERM, Université Clermont Auvergne, Clermont-Ferrand, France.
Pierre ChymkowitchDepartment of Biosciences, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway.ORCID 0000-0003-1223-1001

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-translational modification by the small ubiquitin-like modifier (SUMO) is essential for cellular differentiation and homeostasis. Here, we investigate the role of SUMOylation in adipose tissue development using TAK-981, a pharmacological inhibitor of SUMOylation. Administration of TAK-981 to mice resulted in significant defect in weight gain and adipocyte atrophy in perigonadal white adipose tissue (gWAT) depots. Gene expression analyses revealed a marked downregulation of adipogenic genes, including

Indexed as

Adipose Tissue, WhiteSumoylationAdipocytesAdipogenesisAnimalsIsoquinolinesLipid MetabolismMaleMiceMice, Inbred C57BLPyrimidinesThiophenesIsoquinolinesPyrimidinesTAK-981Thiophenesadipogenesisadipose tissueinflammationSUMOylationTAK-981

Identifiers

PMID40047287
PMCPMC11901380

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.