Evidence map›Paper›PMID 35499169›Full record

ArticleAdipocyte2022

Analysis of the different characteristics between omental preadipocytes and differentiated white adipocytes using bioinformatics methods.

Xinyu Yang, Lu Li, Canming Xu, Meichen Pi, Changhua Wang, Yemin Zhang

Open access · goldAbstract 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Targeted Nano-Based Systems for the Anti-Obesity Agent's Delivery.Advances in experimental medicine and biology · 2024
    Review
  4. 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.

Xinyu YangDepartment of Pathology & Pathophysiology, Wuhan University Taikang Medical School (School of Basic Medical Sciences), Wuhan Hubei China.
Lu LiDepartment of Pathology & Pathophysiology, Wuhan University Taikang Medical School (School of Basic Medical Sciences), Wuhan Hubei China.
Canming XuDepartment of Pathology & Pathophysiology, Wuhan University Taikang Medical School (School of Basic Medical Sciences), Wuhan Hubei China.
Meichen PiDepartment of Pathology & Pathophysiology, Wuhan University Taikang Medical School (School of Basic Medical Sciences), Wuhan Hubei China.
Changhua WangDepartment of Pathology & Pathophysiology, Wuhan University Taikang Medical School (School of Basic Medical Sciences), Wuhan Hubei China.
Yemin ZhangDepartment of Pathology & Pathophysiology, Wuhan University Taikang Medical School (School of Basic Medical Sciences), Wuhan Hubei China.ORCID 0000-0001-5779-5455
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is emerging as an epidemiological issue, being associated with the onset and progress of various metabolism-related disorders. Obesity is characterized by the white adipose expansion, which encounters white adipocyte hypertrophy and hyperplasia. White adipocyte hyperplasia is defined as adipogenesis with the increase in the number of the white adipocytes from the preadipocytes. Adipogenesis contributes to distributing excess triglycerides among the smaller newly formed adipocytes, reducing the number of hypertrophic adipocytes and secreting anti-inflammatory factor. Therefore, adipogenesis is emerging as a new therapeutic target for the treatment of obesity. In the present study, for a better understanding of the contribution of the alteration of the omental differentiated white adipocytes to the systemic metabolic disorders, we downloaded the mRNA expression profiles from GEO database GSE1657, 328 differentially expressed genes (DEGs) were screened between the undifferentiated preadipocytes (UNDIF) and omental differentiated white adipocytes (DIF). The contributions of the upregulated and downregulated DEGs to the system were performed via the Gene Ontology (GO) analysis, the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis and Protein-Protein Interaction (PPI) network, respectively. The potential contribution of the whole altered genes in the differentiated white adipocytes was explored with the performance of Gene Set Enrichment Analysis (GSEA), especially on the GO analysis, KEGG analysis, hallmark analysis, oncogenic analysis and related miRNA analysis. The output of the current study will shed light on the new targets for the treatment of obesity and obesity-related disorders.

Indexed as

Adipocytes, WhiteComputational BiologyGene Expression ProfilingHumansHyperplasiaObesitybioinformaticsdifferent characteristicDifferentiated white adipocyteGSAEpreadipocytes

Identifiers

PMID35499169
PMCPMC9067510
OpenAlexW4225262867

What Socratic 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 Socratic graph.