Evidence map›Paper›PMID 32392729›Full record

ArticleCells2020

Epigenetic Regulation of Neuregulin-1 Tunes White Adipose Stem Cell Differentiation.

Alyssa D Cordero, Evan C Callihan, Rana Said, Yasir Alowais, Emily S Paffhausen, John R Bracht

Open access · goldAbstract readLetter
In one paragraph

Article in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
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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

6 authors at 1 institution in 1 country.

Alyssa D CorderoBiology Department, American University, Washington DC, 20016, USA.
Evan C CallihanBiology Department, American University, Washington DC, 20016, USA.
Rana SaidBiology Department, American University, Washington DC, 20016, USA.
Yasir AlowaisBiology Department, American University, Washington DC, 20016, USA.
Emily S PaffhausenBiology Department, American University, Washington DC, 20016, USA.
John R BrachtBiology Department, American University, Washington DC, 20016, USA.
American University · US

Funding

Model systems for the investigation of DNA methylation and drug repurposingK22CA184297 · NCI · AMERICAN UNIVERSITY · PI BRACHT, JOHN RUSSELL · 2014 to 2016
$457k
NCI NIH HHS K22 CA184297
6 · The paper itself

Abstract

Expansion of subcutaneous adipose tissue by differentiation of new adipocytes has been linked to improvements in metabolic health. However, an expandability limit has been observed wherein new adipocytes cannot be produced, the existing adipocytes become enlarged (hypertrophic) and lipids spill over into ectopic sites. Inappropriate ectopic storage of these surplus lipids in liver, muscle, and visceral depots has been linked with metabolic dysfunction. Here we show that Neuregulin-1 (NRG1) serves as a regulator of adipogenic differentiation in subcutaneous primary human stem cells. We further demonstrate that DNA methylation modulates NRG1 expression in these cells, and a 3-day exposure of stem cells to a recombinant NRG1 peptide fragment is sufficient to reprogram adipogenic cellular differentiation to higher levels. These results define a novel molecular adipogenic rheostat with potential implications for the expansion of adipose tissue in vivo.

Indexed as

Epigenesis, GeneticAdipose TissueAdultAnimalsCell DifferentiationCell LineCellular ReprogrammingDecitabineFemaleHumansMaleMiceNeuregulin-1Stem CellsDecitabineNeuregulin-1adipocytesadipose expandabilityepigeneticsmetabolic syndromeNeuregulin-1

Identifiers

PMID32392729
PMCPMC7290571
OpenAlexW3022399616

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.