Evidence map›Paper›PMID 34787756›Full record

ArticleBiochemical genetics2022

Identification of Key Pathways and Genes in SARS-CoV-2 Infecting Human Intestines by Bioinformatics Analysis.

Ji-Chun Chen, Tian-Ao Xie, Zhen-Zong Lin, Yi-Qing Li, Yu-Fei Xie, Zhong-Wei Li, Xu-Guang Guo

Open access · hybridAbstract read
In one paragraph

Article in Biochemical genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Ji-Chun ChenDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Tian-Ao XieDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Zhen-Zong LinDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Yi-Qing LiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Yu-Fei XieDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Zhong-Wei LiDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China.
Xu-Guang GuoDepartment of Clinical Medicine, The Third Clinical School of Guangzhou Medical University, Guangzhou, 510150, China. gysygxg@gmail.com.ORCID http://orcid.org/0000-0003-1302-5234
Third Affiliated Hospital of Guangzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a serious infectious disease that has recently swept the world, and research on its causative virus, SARS-CoV-2, remains insufficient. Therefore, this study uses bioinformatics analysis techniques to explore the human digestive tract diseases that may be caused by SARS-CoV-2 infection. The gene expression profile data set, numbered GSE149312, is from the Gene Expression Omnibus (GEO) database and is divided into a 24-h group and a 60-h group. R software is used to analyze and screen out differentially expressed genes (DEGs) and then gene ontology (GO) term and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses are performed. In KEGG, the pathway of non-alcoholic fatty liver disease exists in both the 24-h group and 60-h group. STRING is used to establish a protein-protein interaction (PPI) network, and Cytoscape is then used to visualize the PPI and define the top 12 genes of the node as the hub genes. Through verification, nine statistically significant hub genes are identified: AKT1, TIMP1, NOTCH, CCNA2, RRM2, TTK, BUB1B, KIF20A, and PLK1. In conclusion, the results of this study can provide a certain direction and basis for follow-up studies of SARS-CoV-2 infection of the human digestive tract and provide new insights for the prevention and treatment of diseases caused by SARS-CoV-2.

Indexed as

Computational BiologyCOVID-19Gene Expression ProfilingHumansIntestinesSARS-CoV-2BioinformaticsSARS-CoV-2

Identifiers

PMID34787756
PMCPMC8596852
OpenAlexW3211345963

What OpenQuestion holds

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LicenceCC BY
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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.