Evidence map›Paper›PMID 28810559›Full record

ArticleExperimental and therapeutic medicine2017

Identification of key genes and pathways associated with obesity in children.

Ling Li, Guangyu Wang, Ning Li, Haiyan Yu, Jianping Si, Jiwen Wang

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 60 citations in OpenAlex.

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  5. Review
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  7. Transcriptome Analyses of Adipose Tissue Samples IdentifyInternational journal of molecular sciences · 2022
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  16. Effects of Breastfeeding and Formula Feeding on the Expression Level ofDiabetes, metabolic syndrome and obesity : targets and therapy · 2020
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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 4 institutions in 1 country.

Ling LiDepartment of Paediatrics, Jinan Children's Hospital, Jinan, Shandong 250022, P.R. China.
Guangyu WangDepartment of Paediatrics, Jinan Children's Hospital, Jinan, Shandong 250022, P.R. China.
Ning LiDepartment of Paediatrics, Jinan Children's Hospital, Jinan, Shandong 250022, P.R. China.
Haiyan YuDepartment of Paediatrics, The Fifth People's Hospital of Jinan, Jinan, Shandong 250022, P.R. China.
Jianping SiDepartment of Pediatrics, The People's Hospital of Guangrao, Dongying, Shandong 257300, P.R. China.
Jiwen WangDepartment of Neurology, Children's Medical Center, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.
Jinan City People's Hospital · CNFourth People’s Hospital of Jinan · CNShandong First Medical University · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to identify potential key genes and pathways in obese children in order to explore possible molecular mechanisms associated with child obesity. The array dataset GSE29718 was downloaded from the Gene Expression Omnibus database. Subcutaneous adipose tissue samples derived from 7 obese children and 8 lean children were selected for the analysis. Differentially expressed genes (DEGs) in samples from obese children compared with those from lean children were analyzed by the limma package. Gene ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes and Reactome pathway enrichment analyses for up and downregulated genes were performed. A protein-protein interaction (PPI) network was constructed with Cytoscape software and important genes associated with obesity were determined using IRegulon. A total of 199 DEGs (79 up and 120 downregulated genes) were identified in the samples of obese children compared with those from lean children. The PPI network was established with 103 nodes and 147 protein pairs. Matrix metalloproteinase 9 (MMP9) and acetyl-CoA carboxylase β (ACACB) were identified as hub genes in the PPI network and may therefore be marker genes for child obesity. In addition, upregulated DEGs were enriched in Reactome pathways associated with the immune system. Besides, MMP9 was upregulated in immune system processes as a GO term in the category Biological Processes. The results of the present study indicated that MMP9, ACACB and immune system pathways may have a significant role in child obesity.

Indexed as

child obesitydifferentially expressed genesprotein-protein interaction networkreactome pathwayThe Kyoto Encyclopedia of Genes and Genomes pathway

Identifiers

PMID28810559
PMCPMC5525596
OpenAlexW2625565434

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.