Exploration of the potential common pathogenic mechanisms in COVID-19 and silicosis by using bioinformatics and system biology.
Funct Integr Genomics
; 23(3): 199, 2023 Jun 06.
Article
in English
| MEDLINE | ID: covidwho-20243808
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Silicosis
/
COVID-19
Type of study:
Prognostic study
Limits:
Humans
Language:
English
Journal:
Funct Integr Genomics
Journal subject:
Molecular Biology
/
Genetics
Year:
2023
Document Type:
Article
Affiliation country:
S10142-023-01092-2
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