Evidence map›Paper›PMID 37047343›Full record

ReviewInternational journal of molecular sciences2023

Roles of p53-Mediated Host-Virus Interaction in Coronavirus Infection.

Xue Wang, Yi Liu, Kaiyuan Li, Zhihui Hao

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. 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
6.9field-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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  15. SARS-CoV-2 and the DNA damage response.The Journal of general virology · 2023
    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 1 institution in 1 country.

Xue WangCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Yi LiuCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.ORCID 0000-0002-3710-2073
Kaiyuan LiCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
Zhihui HaoCollege of Veterinary Medicine, China Agricultural University, Beijing 100193, China.ORCID 0000-0001-9516-6270
China Agricultural University · CN

Funding

State Key Research and Development Plan,China 2022YFD1801105
6 · The paper itself

Abstract

The emergence of the SARS-CoV-2 coronavirus has garnered global attention due to its highly pathogenic nature and the resulting health crisis and economic burden. Although drugs such as Remdesivir have been considered a potential cure by targeting the virus on its RNA polymerase, the high mutation rate and unique 3' to 5' exonuclease with proofreading function make it challenging to develop effective anti-coronavirus drugs. As a result, there is an increasing focus on host-virus interactions because coronaviruses trigger stress responses, cell cycle changes, apoptosis, autophagy, and the dysregulation of immune function and inflammation in host cells. The p53 tumor suppressor molecule is a critical regulator of cell signaling pathways, cellular stress responses, DNA repair, and apoptosis. However, viruses can activate or inhibit p53 during viral infections to enhance viral replication and spread. Given its pivotal role in cell physiology, p53 represents a potential target for anti-coronavirus drugs. This review aims to summarize the relationship between p53 and coronaviruses from various perspectives, to shed light on potential targets for antiviral drug development and vaccine design.

Indexed as

COVID-19Host Microbial InteractionsAntiviral AgentsHumansSARS-CoV-2Tumor Suppressor Protein p53Virus ReplicationAntiviral AgentsTumor Suppressor Protein p53antiviralcoronavirusp53

Identifiers

PMID37047343
PMCPMC10094438
OpenAlexW4361200659

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.