Evidence map›Paper›PMID 34997885›Full record

ArticleMolecular and cellular biochemistry2022

Adipogenesis of ear mesenchymal stem cells (EMSCs): adipose biomarker-based assessment of genetic variation, adipocyte function, and brown/brite differentiation.

Dinh-Toi Chu, Dang Tien Truong, Hue Vu Thi, Nguyen Thi Lan Huong

Abstract read
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In one paragraph

Article in Molecular and cellular biochemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 3 institutions in 1 country.

Dinh-Toi ChuCenter for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam. chudinhtoi.hnue@gmail.com.ORCID http://orcid.org/0000-0002-4596-2022
Dang Tien TruongDepartment of Anatomy, Vietnam Military Medical University, Hanoi, Vietnam.
Hue Vu ThiCenter for Biomedicine and Community Health, International School, Vietnam National University, Hanoi, Vietnam.
Nguyen Thi Lan HuongFaculty of Biology, Hanoi National University of Education, Hanoi, Vietnam.
Vietnam National University, Hanoi · VNHanoi National University of Education · VNVietnam Military Medical University · VN

Funding

vietnam national foundation for science and technology development (nafosted) 106.02-2019.314
6 · The paper itself

Abstract

Ear mesenchymal stem cells (EMSCs) have been investigated to differentiate into adipocytes, chondrocytes, and muscle cells in vitro. However, the factors controlling adipogenesis of this stem cell population in vitro, function, and type of adipocytes raised from them are still unclear. Here we found that genetics have a modest effect on adipogenic capacity of EMSCs. Adipocytes differentiated from EMSCs have a potential function in lipid metabolism as indicated by expression of lipogenic genes and this function of EMSC adipocytes is regulated by genetics. EMSCs failed to be differentiated into brite/brown adipocytes due to their lack of a thermogenic program, but adipocytes raised from EMSCs showed a fate of white adipocytes. Overall, our data suggest that EMSCs differentiate into functional white adipocytes in vitro and this is genetic-dependent.

Indexed as

Antigens, DifferentiationEarGenetic VariationAdipocytes, BeigeAdipocytes, BrownAdipogenesisAnimalsMesenchymal Stem CellsMiceMice, TransgenicAntigens, DifferentiationAdipogenesis of EMSCsAdipose biomarkersBrown/brite adipocytesLipogenesis

Identifiers

PMID34997885
OpenAlexW4206093927

What OpenQuestion holds

Textmetadata
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.