Evidence map›Paper›PMID 26347713›Full record

ArticleFrontiers in endocrinology2015

Transcriptional Pathways in cPGI2-Induced Adipocyte Progenitor Activation for Browning.

Irem Bayindir, Rohollah Babaeikelishomi, Silvia Kocanova, Isabel Sofia Sousa, Sarah Lerch, Olaf Hardt, Stefan Wild, Andreas Bosio, Kerstin Bystricky, Stephan Herzig and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

19 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. The Beige Adipocyte as a Therapy for Metabolic Diseases.International journal of molecular sciences · 2019
    Review
  10. Lipokines and Thermogenesis.Endocrinology · 2019
    Review
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Adipose tissue in control of metabolism.The Journal of endocrinology · 2016
    Review
  19. 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

11 authors at 6 institutions in 3 countries.

Irem BayindirDKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center , Heidelberg , Germany.
Rohollah BabaeikelishomiDKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center , Heidelberg , Germany.
Silvia KocanovaUniversity of Toulouse (UPS) , Toulouse , France ; Laboratoire de Biologie Moléculaire des Eucaryotes, Centre national de la recherche scientifique , Toulouse , France.
Isabel Sofia SousaDKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center , Heidelberg , Germany ; Department of Life Sciences, University of Coimbra , Coimbra , Portugal.
Sarah LerchDKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center , Heidelberg , Germany.
Olaf HardtMiltenyi Biotec GmbH , Bergisch Gladbach , Germany.
Stefan WildMiltenyi Biotec GmbH , Bergisch Gladbach , Germany.
Andreas BosioMiltenyi Biotec GmbH , Bergisch Gladbach , Germany.
Kerstin BystrickyUniversity of Toulouse (UPS) , Toulouse , France ; Laboratoire de Biologie Moléculaire des Eucaryotes, Centre national de la recherche scientifique , Toulouse , France.
Stephan HerzigHelmholtz Center Munich, Institute for Diabetes and Cancer IDC , Neuherberg , Germany ; Joint Heidelberg-IDC Translational Diabetes Program, Heidelberg University Hospital , Heidelberg , Germany.
Alexandros VegiopoulosDKFZ Junior Group Metabolism and Stem Cell Plasticity, German Cancer Research Center , Heidelberg , Germany.
German Cancer Research Center · DEMiltenyi Biotec (Germany) · DEHeidelberg University · DEHelmholtz Zentrum München · DEUniversité Fédérale de Toulouse Midi-Pyrénées · FRUniversité Toulouse III - Paul Sabatier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De novo formation of beige/brite adipocytes from progenitor cells contributes to the thermogenic adaptation of adipose tissue and holds great potential for the therapeutic remodeling of fat as a treatment for obesity. Despite the recent identification of several factors regulating browning of white fat, there is a lack of physiological cell models for the mechanistic investigation of progenitor-mediated beige/brite differentiation. We have previously revealed prostacyclin (PGI2) as one of the few known endogenous extracellular mediators promoting de novo beige/brite formation by relaying β-adrenergic stimulation to the progenitor level. Here, we present a cell model based on murine primary progenitor cells defined by markers previously shown to be relevant for in vivo browning, including a simplified isolation procedure. We demonstrate the specific and broad induction of thermogenic gene expression by PGI2 signaling in the absence of lineage conversion, and reveal the previously unidentified nuclear relocalization of the Ucp1 gene locus in association with transcriptional activation. By profiling the time course of the progenitor response, we show that PGI2 signaling promoted progenitor cell activation through cell cycle and adhesion pathways prior to metabolic maturation toward an oxidative cell phenotype. Our results highlight the importance of core progenitor activation pathways for the recruitment of thermogenic cells and provide a resource for further mechanistic investigation.

Indexed as

adipocyte cell modeladipocyte progenitorsadipose tissue remodelingbeige/brite differentiationnuclear localizationPGI2prostacyclin

Identifiers

PMID26347713
PMCPMC4538297
OpenAlexW1672144677

What OpenQuestion holds

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LicenceCC BY
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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.