Evidence map›Paper›PMID 36193503›Full record

ArticleDisease markers2022

Identification of the Hub Genes and Potential Regulation Network in Chronic Hepatitis B via Bioinformatics Analysis.

Jingjing Fan, Yong Chen, Wei Zhang, Xiaoying Zhou, Xue Bai, Caifang Chang, Yongping Han, Jinlu Liu

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 81% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 1 institution in 1 country.

Jingjing FanDepartment of Infectious Diseases, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.ORCID https://orcid.org/0000-0002-7295-0641
Yong ChenDepartment of Infectious Diseases, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Wei ZhangDepartment of Microbiology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Xiaoying ZhouDepartment of Infectious Diseases, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Xue BaiDepartment of Infectious Diseases, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Caifang ChangDepartment of Infectious Diseases, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Yongping HanDepartment of Infectious Diseases, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Jinlu LiuDepartment of Microbiology, The First Affiliated Hospital of Hebei North University, Zhangjiakou, 075000 Hebei, China.
Hebei North University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Chronic hepatitis B (CHB) is a serious infectious disease which is induced by hepatitis B virus (HBV) infection. This project was conducted to reveal the potential mechanism in CHB development via analyzing the public clinical data. Methods: GSE33857 and GSE110217, obtained from the GEO database, were used for bioinformatics excavation. Briefly, the raw data of GSE33857 and GSE110217 were analyzed with the GEO2R, and then the expressed matrix files were generated. The matrix files was visualized as heat map with Results: 93 downregulated genes and 17 upregulated genes in GES33857, and 111 downregulated and 40 upregulated genes in GSE110217 were identified as the hub nodes. The targets of the DEGs in the datasets were enriched in PI3K/AKT and MAPK pathways and associated with transcriptional regulation. Moreover, PPI and miRNA-mRNA networks were also established with the DEGs and related targets in the datasets. miR-122-5p, miR-125b-5p, miR-136-5p, miR-194-5p, miR-139-5p, miR-140-5p, miR-181a-5p, and miR-29b-3p were identified as the potential biomarkers in CHB. Conclusion: Eight miRNAs, including miR-122-5p, miR-125b-5p, miR-136-5p, miR-194-5p, miR-139-5p, miR-140-5p, miR-181a-5p, and miR-29b-3p, were identified as the potential biomarkers in CHB, and the PPI and miRNA-mRNA networks were also established.

Indexed as

Hepatitis B, ChronicMicroRNAsBiomarkersComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, MessengerBiomarkersMicroRNAsMIRN136 microRNA, humanMIRN139 microRNA, humanMirn140 microRNA, humanPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA, Messenger

Identifiers

PMID36193503
PMCPMC9525735
OpenAlexW4297910239

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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.