Evidence map›Paper›PMID 29606342›Full record

ReviewTrends in endocrinology and metabolism: TEM2018

What Can 'Brown-ing' Do For You?

Amar M Singh, Stephen Dalton

Abstract readReview
In one paragraph

Review in Trends in endocrinology and metabolism: TEM, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Brown Adipose Tissue and Its Role in Insulin and Glucose Homeostasis.International journal of molecular sciences · 2021
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. The roles of glucose metabolic reprogramming in chemo- and radio-resistance.Journal of experimental & clinical cancer research : CR · 2019
    Review
  11. Brown Adipose Tissue Development and Metabolism.Handbook of experimental pharmacology · 2019
    Review
  12. Fighting obesity by targeting factors regulating beige adipocytes.Current opinion in clinical nutrition and metabolic care · 2018
    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

2 authors.

Amar M SinghCenter for Molecular Medicine, Department of Biochemistry and Molecular Biology, University of Georgia, 325 Riverbend Road, Athens, GA 30602, USA.
Stephen DaltonCenter for Molecular Medicine, Department of Biochemistry and Molecular Biology, University of Georgia, 325 Riverbend Road, Athens, GA 30602, USA. Electronic address: sdalton@uga.edu.

Funding

UNDERSTANDING MECHANISMS OF hESC SELF-RENEWAL AND CELL FATE COMMITMENTP01GM085354 · NIGMS · UNIVERSITY OF GEORGIA · PI DALTON, STEPHEN · 2008 to 2018
$18.3M
NIGMS NIH HHS P01 GM085354
6 · The paper itself

Abstract

Human stem cell-based models of thermogenic adipocytes provide an opportunity for the establishment of new therapeutics, modeling of disease mechanisms, and understanding of development. Pluripotent stem cells, adipose-derived stem cells/preadipocytes, and programming-reprogramming-based approaches have been used to develop cell-based platforms for drug screening and transplantable therapeutics in the metabolic disease arena. Here we provide a detailed overview of these approaches, the latest advances in this field, and the opportunities and shortcomings they present. Moreover, we comment on how stem-cell-based platforms can be best utilized in the future for the treatment and understanding of metabolic diseases, including type 2 diabetes and associated medical issues such as obesity.

Indexed as

Adipose Tissue, BeigeAdipose Tissue, BrownAnimalsDiabetes Mellitus, Type 2HumansMetabolic DiseasesPluripotent Stem Cellsadipose-derived stem cellsbeige fatbrown fatmesenchymal stem cellsmetabolic diseasepluripotent stem cells

Identifiers

PMID29606342
PMCPMC5937921

What OpenQuestion holds

Textmetadata
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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.