Evidence map›Paper›PMID 37278873›Full record

ArticleFunctional & integrative genomics2023

Exploration of the potential common pathogenic mechanisms in COVID-19 and silicosis by using bioinformatics and system biology.

Yunze Tian, Beibei Yu, Yongfeng Zhang, Sanpeng Zhang, Boqiang Lv, Shouping Gong, Jianzhong Li

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Functional & integrative genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. GTSE1-driven ZEB1 stabilization promotes pulmonary fibrosis through the epithelial-to-mesenchymal transition.Molecular therapy : the journal of the American Society of Gene Therapy · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Yunze Tian *Department of Thoracic Surgery, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, Xi'an, 710004, China.
Beibei Yu *Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, Xi'an, 710004, China.
Yongfeng Zhang *Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, Xi'an, 710004, China.
Sanpeng ZhangOperating room, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, 710004, Xi'an, China.
Boqiang LvDepartment of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, Xi'an, 710004, China.
Shouping GongDepartment of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, Xi'an, 710004, China. shpingg@126.com.
Jianzhong LiDepartment of Thoracic Surgery, the Second Affiliated Hospital of Xi'an Jiao Tong University, Shaanxi Province, Xi'an, 710004, China. jianzhong-0520@163.com.
Second Affiliated Hospital of Xi'an Jiaotong University · CNXi'an Jiaotong University · CN

Funding

National Natural Science Foundation of China 81903268
6 · The paper itself

Abstract

Silicosis is an occupational lung disease that is common worldwide. In recent years, coronavirus disease 2019 (COVID-19) has provided daunting challenges to public healthcare systems globally. Although multiple studies have shown a close link between COVID-19 and other respiratory diseases, the inter-relational mechanisms between COVID-19 and silicosis remain unclear. This study aimed to explore the shared molecular mechanisms and drug targets of COVID-19 and silicosis. Gene expression profiling identified four modules that were most closely associated with both diseases. Furthermore, we performed functional analysis and constructed a protein-protein interaction network. Seven hub genes (budding uninhibited by benzimidazoles 1 [BUB1], protein regulator of cytokinesis 1 [PRC1], kinesin family member C1 [KIFC1], ribonucleotide reductase regulatory subunit M2 [RRM2], cyclin-dependent kinase inhibitor 3 [CDKN3], Cyclin B2 [CCNB2], and minichromosome maintenance complex component 6 [MCM6]) were involved in the interaction between COVID-19 and silicosis. We investigated how diverse microRNAs and transcription factors regulate these seven genes. Subsequently, the correlation between the hub genes and infiltrating immune cells was explored. Further in-depth analyses were performed based on single-cell transcriptomic data from COVID-19, and the expression of hub-shared genes was characterized and located in multiple cell clusters. Finally, molecular docking results reveal small molecular compounds that may improve COVID-19 and silicosis. The current study reveals the common pathogenesis of COVID-19 and silicosis, which may provide a novel reference for further research.

Indexed as

COVID-19SilicosisComputational BiologyGene Expression ProfilingHumansMolecular Docking SimulationProtein Interaction MapsCOVID-19ScRNA-seqSilicosisWeighted correlation network analysis

Identifiers

PMID37278873
PMCPMC10241611
OpenAlexW4379509106

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.