Evidence map›Paper›PMID 37347115›Full record

ArticleFrontiers in endocrinology2023

Network pharmacology and bioinformatics analysis identifies potential therapeutic targets of

Wen-Yu Wu, Xin Jiao, Wen-Xin Song, Peng Wu, Pei-Qi Xiao, Xiu-Fang Huang, Kai Wang, Shao-Feng Zhan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

  1. Exploring the potential role of miR-124 in angiogenesis in colorectal cancer.Journal of cancer research and clinical oncology · 2026
    Article
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  6. Insights into the Therapeutic Potential of Active Ingredients ofInternational journal of molecular sciences · 2024
    Article
  7. Article
  8. Bioactive Compounds inNutrients · 2024
    Article
  9. Article
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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

8 authors at 2 institutions in 1 country.

Wen-Yu WuThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xin JiaoThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Wen-Xin SongThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Peng WuThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Pei-Qi XiaoThe First Clinical Medical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
Xiu-Fang HuangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Kai WangThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Shao-Feng ZhanThe First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease 2019 (COVID-19) is a highly contagious respiratory disease that has posed a serious threat to people's daily lives and caused an unprecedented challenge to public health and people's health worldwide. Lung squamous cell carcinoma (LUSC) is a common type of lung malignancy with a highly aggressive nature and poor prognosis. Patients with LUSC could be at risk for COVID-19, We conducted this study to examine the potential for naringenin to develop into an ideal medicine and investigate the underlying action mechanisms of naringenin in COVID-19 and LUSC due to the anti-viral, anti-tumor, and anti-inflammatory activities of naringenin. Methods: LUSC related genes were obtained from TCGA, PharmGKB, TTD,GeneCards and NCBI, and then the transcriptome data for COVID-19 was downloaded from GEO, DisGeNET, CTD, DrugBank, PubChem, TTD, NCBI Gene, OMIM. The drug targets of Results: We discovered numerous COVID-19/LUSC target genes and examined their prognostic value in LUSC patients utilizing a variety of bioinformatics and network pharmacology methods. Furthermore, a risk score model with strong predictive performance was developed based on these target genes to assess the prognosis of LUSC patients with COVID-19. We intersected the therapeutic target genes of naringenin with the LUSC, COVID-19-related targets, and identified 354 common targets, which could be used as potential target genes for naringenin to treat COVID-19/LUSC. The treatment of COVID-19/LUSC with naringenin may involve oxidative stress, anti-inflammatory, antiviral, antiviral, apoptosis, immunological, and multiple pathways containing PI3K-Akt, HIF-1, and VEGF, according to the results of the GO and KEGG enrichment analysis of these 354 common targets. By constructing a PPI network, we ascertained AKT1, TP53, SRC, MAPK1, MAPK3, and HSP90AA1 as possible hub targets of naringenin for the treatment of COVID-19/LUSC. Last but not least, molecular docking investigations showed that naringenin has strong binding activity in COVID-19/LUSC. Conclusion: We revealed for the first time the pharmacological targets and potential molecular processes of naringenin for the treatment of COVID-19/LUSC. However, these results need to be confirmed by additional research and validation in real LUSC patients with COVID-19.

Indexed as

Carcinoma, Non-Small-Cell LungCarcinoma, Squamous CellCOVID-19Lung NeoplasmsAntiviral AgentsFlavanonesHumansMolecular Docking SimulationNetwork PharmacologyPhosphatidylinositol 3-KinasesAntiviral AgentsFlavanonesnaringeninPhosphatidylinositol 3-KinasesbioinformaticsCOVID-19lung squamous cell carcinomanaringeninnetwork pharmacology

Identifiers

PMID37347115
PMCPMC10281056
OpenAlexW4379537560

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.