Evidence map›Paper›PMID 36654490›Full record

ArticleAdipocyte2023

Identification of major hub genes involved in high-fat diet-induced obese visceral adipose tissue based on bioinformatics approach.

Yu Jiang, Rui Zhang, Jia-Qi Guo, Ling-Lin Qian, Jing-Jing Ji, Ya Wu, Zhen-Jun Ji, Zi-Wei Yang, Yao Zhang, Xi Chen and 2 more

Open access · goldAbstract read
In one paragraph

Article in Adipocyte, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Correlation Analysis of Serum TYROBP Level and Metabolic Indexes of Obesity.Diabetes, metabolic syndrome and obesity : targets and therapy · 2025
    Article
  3. 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

12 authors at 4 institutions in 1 country.

Yu JiangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Rui ZhangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Jia-Qi GuoDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Ling-Lin QianDepartment of Cardiology, Zhejiang Provincial People's Hospital, Hangzhou, P. R. China.
Jing-Jing JiDepartment of Cardiology, Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, P. R. China.
Ya WuDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Zhen-Jun JiDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Zi-Wei YangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Yao ZhangDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Xi ChenDepartment of Cardiology, Anqing First People's Hospital of Anhui Province, Anqing, P. R. China.
Gen-Shan MaDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.
Yu-Yu YaoDepartment of Cardiology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing, P. R. China.ORCID 0000-0001-7841-288X
Zhongda Hospital Southeast University · CNAnqing City Hospital · CNSecond Affiliated Hospital of Zhejiang University · CNZhejiang Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-fat diet (HFD) can cause obesity, inducing dysregulation of the visceral adipose tissue (VAT). This study aimed to explore potential biological pathways and hub genes involved in obese VAT, and for that, bioinformatic analysis of multiple datasets was performed. The expression profiles (GSE30247, GSE167311 and GSE79434) were downloaded from Gene Expression Omnibus. Overlapping differentially expressed genes (ODEGs) between normal diet and HFD groups in GSE30247 and GSE167311 were selected to run protein-protein interaction network, GO and KEGG analysis. The hub genes in ODEGs were screened by Cytoscape software and further verified in GSE79434 and obese mouse model. A total of 747 ODEGs (599 up-regulated and 148 down-regulated) were screened, and the GO and KEGG analysis showed that the up-regulated ODEGs were significantly enriched in inflammatory response and extracellular matrix receptor interaction pathways. On the other hand, the down-regulated ODEGs were involved in metabolic pathways; however, there were no significant KEGG pathways. Furthermore, six hub genes, Mki67, Rac2, Itgb2, Emr1, Tyrobp and Csf1r were acquired. These pathways and genes were verified in GSE79434 and VAT of obese mice. This study revealed that HFD induced VAT expansion, inflammation and fibrosis, and the hub genes could be used as therapeutic biomarkers in obesity.

Indexed as

Diet, High-FatIntra-Abdominal FatAnimalsBiomarkersComputational BiologyMiceObesityBiomarkersbioinformatics analysisbiomarkerfibrosishigh-fat dietinflammationObesityvisceral adipose tissue

Identifiers

PMID36654490
PMCPMC9897782
OpenAlexW4317481690

What OpenQuestion holds

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Registered trials

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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.