Evidence map›Paper›PMID 32190149›Full record

ArticleArchives of medical science : AMS2020

Identification of key pathways and genes in nonalcoholic fatty liver disease using bioinformatics analysis.

Jingqi Liu, Bogeng Lin, Zhiqing Chen, Manxiang Deng, Ye Wang, Jisu Wang, Luling Chen, Zhenyu Zhang, Xueling Xiao, Chunlin Chen and 1 more

Open access · goldAbstract read
In one paragraph

Article in Archives of medical science : AMS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  6. Review
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  9. Mechanism of action ofSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
    Article
  10. Article
  11. Article
  12. Cellular Mechanisms of Liver Fibrosis.Frontiers in pharmacology · 2021
    Review
  13. Article
  14. Article
  15. 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

11 authors at 1 institution in 1 country.

Jingqi LiuDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Bogeng LinDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Zhiqing ChenDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Manxiang DengDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Ye WangDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Jisu WangDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Luling ChenDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Zhenyu ZhangDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Xueling XiaoDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Chunlin ChenDepartment of Geriatrics, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Yang SongDepartment of Gastroenterology, Zhongshan Hospital affiliated to Xiamen University, Xiamen, Fujian, China.
Zhongshan Hospital of Xiamen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNonalcoholic fatty liver disease (NAFLD) is one of the most common types of liver disease in the world. However, the molecular mechanisms regulating the development of NAFLD have remained unclear. MATERIAL AND

methodsIn the present study, we analyzed two public datasets (GSE48452 and GSE89632) to identify differentially expressed mRNAs in the progression of NAFLD. Next, we performed bioinformatics analysis to explore key pathways underlying NAFLD development.

resultsGene Ontology (GO) analysis showed that differentially expressed genes (DEGs) were mainly involved in regulating a series of metabolism-related pathways (including proteolysis and lipid metabolism), cell proliferation and adhesion, the inflammatory response, and the immune response. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that DEGs in NAFLD were mainly enriched in the insulin signaling pathway, peroxisome proliferator-activated receptor (PPAR) signaling pathway, and p53 signaling pathway. We also constructed protein-protein interaction (PPI) networks for these DEGs. Interestingly, we observed that key hub nodes in PPI networks were also associated with the progression of hepatocellular carcinoma (HCC).

conclusionsTaken together, our analysis revealed that a series of pathways, such as metabolism and PPAR signaling pathways, were involved in NAFLD development. Moreover, we observed that many DEGs in NAFLD were also dysregulated in HCC. Although further validation is still needed, we believe this study could provide useful information to explore the potential candidate biomarkers for diagnosis, prognosis, and drug targets of NAFLD.

Indexed as

bioinformatics analysisdifferentially expressed genesexpression profilingnonalcoholic fatty liver diseaseprotein-protein interaction network

Identifiers

PMID32190149
PMCPMC7069441
OpenAlexW3011796176

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.