Evidence map›Paper›PMID 34974794›Full record

ArticleAdipocyte2022

Regulatory network of metformin on adipogenesis determined by combining high-throughput sequencing and GEO database.

Zhicong Zhao, Chenxi Wang, Jue Jia, Zhaoxiang Wang, Lian Li, Xia Deng, Zhensheng Cai, Ling Yang, Dong Wang, Suxian Ma and 3 more

Open access · goldFull text read
In one paragraph

Article in Adipocyte, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 18 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Zhicong ZhaoDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Chenxi WangDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Jue JiaDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Zhaoxiang WangDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Lian LiDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Xia DengDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Zhensheng CaiDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Ling YangDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Dong WangDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Suxian MaDepartment of Endocrinology, Suzhou Municipal Hospital, Suzhou, Jiangsu, China.
Li ZhaoDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Zhigang TuSchool of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu, China.
Guoyue YuanDepartment of Endocrinology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
Affiliated Hospital of Jiangsu University · CNJiangsu University · CNSuzhou Municipal Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adipose differentiation and excessive lipid accumulation are the important characteristics of obesity. Metformin, as a classic hypoglycaemic drug, has been proved to reduce body weight in type 2 diabetes, the specific mechanism has not been completely clear. A few studies have explored its effect on adipogenesis in vitro, but the existing experimental results are ambiguous. 3T3-L1 preadipocytes were used to explore the effects of metformin on the morphological and physiological changes of lipid droplets during adipogenesis. A high throughput sequencing was used to examine the effects of metformin on the transcriptome of adipogenesis. Considering the inevitable errors among independent experiments, we performed integrated bioinformatics analysis to identify important genes involved in adipogenesis and reveal potential molecular mechanisms. During the process of adipogenesis, metformin visibly relieved the morphological and functional changes. In addition, metformin reverses the expression pattern of genes related to adipogenesis at the transcriptome level. Combining with integrated bioinformatics analyses to further identify the potential targeted genes regulated by metformin during adipogenesis. The present study identified novel changes in the transcriptome of metformin in the process of adipogenesis that might shed light on the underlying mechanism by which metformin impedes the progression of obesity.

Indexed as

Diabetes Mellitus, Type 2Metformin3T3-L1 CellsAdipocytesAdipogenesisAnimalsCell DifferentiationHigh-Throughput Nucleotide SequencingMiceMetforminAdipogenensisgene expression omnibusintegrated bioinformaticsmetformintranscriptome

Identifiers

PMID34974794
PMCPMC8741290
OpenAlexW4205730056

What OpenQuestion holds

Textfull text, public
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.