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Genetic correlations, shared risk genes and immunity landscapes between COVID-19 and venous thromboembolism: evidence
Langchao Yan1, Shifu Li2,3, Qian Hu4
1Department of Neurosurgery, Xi'an Central Hospital, Xi'an Jiaotong University, No. 161, West 5th Road, Xincheng District, Xi'an, 710003, Shanxi, China.
Insights
This study reveals genetic links between COVID-19 and venous thromboembolism (VTE), identifying TP53I3 and SLPI as key genes. These findings offer potential therapeutic targets for managing both conditions concurrently.
Area of Science:
- Genetics
- Immunology
- Bioinformatics
Background:
- Patients with coronavirus disease 2019 (COVID-19) face increased risk of venous thromboembolism (VTE).
- The genetic underpinnings and shared genes between COVID-19 and VTE remain poorly understood.
- Understanding these connections is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate genetic correlations between COVID-19 and VTE.
- To identify common pathogenic mechanisms and shared genes underlying both diseases.
- To explore potential therapeutic targets for simultaneous treatment.
Main Methods:
- Utilized linkage disequilibrium score (LDSC) regression and Mendelian Randomization (MR) analysis for genetic association and causal effect studies.
- Employed bioinformatics and systems biology approaches, including WGCNA and single-cell transcriptome sequencing, on public datasets (GEO).
- Constructed miRNA-gene and transcription factor-gene interaction networks and analyzed epigenetic data (ATAC-seq, Chip-seq).
Main Results:
- Confirmed positive genetic correlations between COVID-19 and VTE.
- Identified 26 potential shared genes, with TP53I3 and SLPI highlighted as upregulated hub genes with diagnostic value.
- Revealed immune process alterations, including downregulation of effector memory CD8+ T cells and activated B cells, with hub genes predominantly expressed in monocytes.
Conclusions:
- Established significant genetic correlations between COVID-19 and VTE.
- Pinpointed TP53I3 and SLPI as crucial hub genes potentially linking the severity of both conditions.
- Identified common regulators (miRNAs and TFs) suggesting opportunities for combined therapeutic strategies.
Background:
Patients with coronavirus disease 2019 (COVID-19) were vulnerable to venous thromboembolism (VTE), which further increases the risk of unfavorable outcomes. However, neither genetic correlations nor shared genes underlying COVID-19 and VTE are well understood.
Objective:
This study aimed to characterize genetic correlations and common pathogenic mechanisms between COVID-19 and VTE.
Methods:
We used linkage disequilibrium score (LDSC) regression and Mendelian Randomization (MR) analysis to investigate the genetic associations and causal effects between COVID-19 and VTE, respectively. Then, the COVID-19 and VTE-related datasets were obtained from the Gene Expression Omnibus (GEO) database and analyzed by bioinformatics and systems biology approaches with R software, including weighted gene co-expression network analysis (WGCNA), enrichment analysis, and single-cell transcriptome sequencing analysis. The miRNA-genes and transcription factor (TF)-genes interaction networks were conducted by NetworkAnalyst. We performed the secondary analysis of the ATAC-seq and Chip-seq datasets to address the epigenetic-regulating relationship of the shared genes.
Results:
This study demonstrated positive correlations between VTE and COVID-19 by LDSC and bidirectional MR analysis. A total of 26 potential shared genes were discovered from the COVID-19 dataset (GSE196822) and the VTE dataset (GSE19151), with 19 genes showing positive associations and 7 genes exhibiting negative associations with these diseases. After incorporating two additional datasets, GSE164805 (COVID-19) and GSE48000 (VTE), two hub genes TP53I3 and SLPI were identified and showed up-regulation and diagnostic capabilities in both illnesses. Furthermore, this study illustrated the landscapes of immune processes in COVID-19 and VTE, revealing the downregulation in effector memory CD8+ T cells and activated B cells. The single-cell sequencing analysis suggested that the hub genes were predominantly expressed in the monocytes of COVID-19 patients at high levels. Additionally, we identified common regulators of hub genes, including five miRNAs (miR-1-3p, miR-203a-3p, miR-210-3p, miR-603, and miR-124-3p) and one transcription factor (RELA).
Conclusions:
Collectively, our results highlighted the significant correlations between COVID-19 and VTE and pinpointed TP53I3 and SLPI as hub genes that potentially link the severity of both conditions. The hub genes and their common regulators might present an opportunity for the simultaneous treatment of these two diseases.
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