Evidence map›Paper›PMID 35008748›Full record

ReviewInternational journal of molecular sciences2021

Adipocyte Biology from the Perspective of In Vivo Research: Review of Key Transcription Factors.

Maria N Evseeva, Maria S Balashova, Konstantin Y Kulebyakin, Yury P Rubtsov

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. DHA ModulatesInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Non-Coding RNAs and Adipogenesis.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Article
  12. Article
  13. 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

4 authors.

Maria N EvseevaDepartment of Biochemistry and Molecular Medicine, Faculty of Medicine, Lomonosov Moscow State University, 119991 Moscow, Russia.
Maria S BalashovaDepartment of Medical Genetics, Sechenov 1st State Medical University, 119991 Moscow, Russia.
Konstantin Y KulebyakinDepartment of Biochemistry and Molecular Medicine, Faculty of Medicine, Lomonosov Moscow State University, 119991 Moscow, Russia.ORCID 0000-0001-6954-5787
Yury P RubtsovLaboratory of Molecular Virology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 117997 Moscow, Russia.ORCID 0000-0001-9175-3013

Funding

Russian Foundation for Basic Research 19-015-00530Russian Science Foundation 21-15-00311
6 · The paper itself

Abstract

Obesity and type 2 diabetes are both significant contributors to the contemporary pandemic of non-communicable diseases. Both disorders are interconnected and associated with the disruption of normal homeostasis in adipose tissue. Consequently, exploring adipose tissue differentiation and homeostasis is important for the treatment and prevention of metabolic disorders. The aim of this work is to review the consecutive steps in the postnatal development of adipocytes, with a special emphasis on in vivo studies. We gave particular attention to well-known transcription factors that had been thoroughly described in vitro, and showed that the in vivo research of adipogenic differentiation can lead to surprising findings.

Indexed as

Biomedical ResearchAdipocytesAdipogenesisAnimalsHumansModels, BiologicalTranscription FactorsTranscription FactorsadipogenesisCEBP/αCEBP/βCEBP/δCREBknockoutobesityPPARγtranscription factor

Identifiers

PMID35008748
PMCPMC8745732

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.