Evidence map›Paper›PMID 35086375›Full record

ArticleThe Journal of international medical research2022

Integrated analysis of differentially expressed genes, differentially methylated genes, and natural compounds in hepatitis C virus-induced cirrhosis.

Junxiong Cheng, Zhiwei Chen, Guoqing Zuo, Wenfu Cao

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in The Journal of international medical research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Review
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

4 authors at 2 institutions in 1 country.

Junxiong ChengCollege of Traditional Chinese Medicine, 12550Chongqing Medical University, Chongqing Medical University, Chongqing Key Laboratory of Traditional Chinese Medicine for Prevention and Cure of Metabolic Diseases, Chongqing, P. R. China.ORCID https://orcid.org/0000-0001-7998-5938
Zhiwei ChenCollege of Traditional Chinese Medicine, 12550Chongqing Medical University, Chongqing Medical University, Chongqing Key Laboratory of Traditional Chinese Medicine for Prevention and Cure of Metabolic Diseases, Chongqing, P. R. China.
Guoqing ZuoCollege of Traditional Chinese Medicine, 12550Chongqing Medical University, Chongqing Medical University, Chongqing Key Laboratory of Traditional Chinese Medicine for Prevention and Cure of Metabolic Diseases, Chongqing, P. R. China.
Wenfu CaoCollege of Traditional Chinese Medicine, 12550Chongqing Medical University, Chongqing Medical University, Chongqing Key Laboratory of Traditional Chinese Medicine for Prevention and Cure of Metabolic Diseases, Chongqing, P. R. China.
Chongqing Medical University · CNFirst People's Hospital of Chongqing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo identify key genes in hepatitis C virus (HCV)-induced cirrhosis and to predict effective drugs for its treatment.

methodsThree datasets were used to screen for differentially expressed genes (DEGs) and differentially methylated genes (DMGs) in HCV-induced cirrhosis. DEGs were subjected to Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses using the clusterProfiler R package. Their respective protein-protein interaction (PPI) networks were constructed using Cytoscape. Cross analysis of DEGs and DMGs was performed to identify the genetic landscape of HCV-induced cirrhosis, and five genes were validated by receiver operating characteristic curve analysis. Molecular autodocking between

resultsA total of 357 DEGs and 8,830 DMGs were identified. DEG functional analysis identified several pathways involved in the pathogenesis of HCV-induced cirrhosis. Cross analysis of DEGs and DMGs identified 212 genes, and PPI network analysis identified 25 hub genes. Finally, five genes including

conclusionOur study provides novel insights into the mechanisms of HCV-induced cirrhosis which could lead to the identification of new therapeutics.

Indexed as

HepacivirusHepatitis CComputational BiologyGene Expression ProfilingGene Regulatory NetworksHumansLiver Cirrhosiscirrhosisdifferentially expressed genedifferentially methylated geneHepatitis C virusISG15molecular docking

Identifiers

PMID35086375
PMCPMC8801647
OpenAlexW4210273039

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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 OpenQuestion graph.