PMID- 37278873
OWN - NLM
STAT- MEDLINE
DCOM- 20230608
LR  - 20230922
IS  - 1438-7948 (Electronic)
IS  - 1438-793X (Print)
IS  - 1438-793X (Linking)
VI  - 23
IP  - 3
DP  - 2023 Jun 6
TI  - Exploration of the potential common pathogenic mechanisms in COVID-19 and 
      silicosis by using bioinformatics and system biology.
PG  - 199
LID - 10.1007/s10142-023-01092-2 [doi]
LID - 199
AB  - 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.
CI  - (c) 2023. Fondazione Societa Italiana di Neurologia.
FAU - Tian, Yunze
AU  - Tian Y
AD  - Department of Thoracic Surgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China.
AD  - Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China.
FAU - Yu, Beibei
AU  - Yu B
AD  - Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China.
FAU - Zhang, Yongfeng
AU  - Zhang Y
AD  - Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China.
FAU - Zhang, Sanpeng
AU  - Zhang S
AD  - Operating room, the Second Affiliated Hospital of Xi'an Jiao Tong University, 
      Shaanxi Province, 710004, Xi'an, China.
FAU - Lv, Boqiang
AU  - Lv B
AD  - Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China.
FAU - Gong, Shouping
AU  - Gong S
AD  - Department of Neurosurgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China. shpingg@126.com.
FAU - Li, Jianzhong
AU  - Li J
AD  - Department of Thoracic Surgery, the Second Affiliated Hospital of Xi'an Jiao Tong 
      University, Shaanxi Province, Xi'an, 710004, China. jianzhong-0520@163.com.
LA  - eng
GR  - 81903268/National Natural Science Foundation of China/
PT  - Journal Article
DEP - 20230606
PL  - Germany
TA  - Funct Integr Genomics
JT  - Functional & integrative genomics
JID - 100939343
SB  - IM
EIN - Funct Integr Genomics. 2023 Jul 14;23(3):240. PMID: 37442826
MH  - Humans
MH  - *COVID-19/genetics
MH  - Molecular Docking Simulation
MH  - Protein Interaction Maps/genetics
MH  - Computational Biology/methods
MH  - Gene Expression Profiling
MH  - *Silicosis/genetics
PMC - PMC10241611
OTO - NOTNLM
OT  - COVID-19
OT  - ScRNA-seq
OT  - Silicosis
OT  - Weighted correlation network analysis
COIS- The authors declare no competing interests.
EDAT- 2023/06/06 13:09
MHDA- 2023/06/08 06:42
PMCR- 2023/06/06
CRDT- 2023/06/06 11:08
PHST- 2023/01/11 00:00 [received]
PHST- 2023/05/09 00:00 [accepted]
PHST- 2023/05/07 00:00 [revised]
PHST- 2023/06/08 06:42 [medline]
PHST- 2023/06/06 13:09 [pubmed]
PHST- 2023/06/06 11:08 [entrez]
PHST- 2023/06/06 00:00 [pmc-release]
AID - 10.1007/s10142-023-01092-2 [pii]
AID - 1092 [pii]
AID - 10.1007/s10142-023-01092-2 [doi]
PST - epublish
SO  - Funct Integr Genomics. 2023 Jun 6;23(3):199. doi: 10.1007/s10142-023-01092-2.