ArticleSaudi journal of biological sciences2021
Network-based transcriptomic analysis identifies the genetic effect of COVID-19 to chronic kidney disease patients: A bioinformatics approach.
Article in Saudi journal of biological sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Article
- Alginate oligosaccharides attenuate obesity-associated kidney injury through modulation of the intestinal environment with renoprotection transferable by small intestinal contents.Frontiers in nutrition · 2026Article
- Transcriptomic and machine learning analyses identify hub genes of metabolism and host immune response that are associated with the progression of breast capsular contracture.Genes & diseases · 2024Article
- Network-Based Data Analysis Reveals Ion Channel-Related Gene Features in COVID-19: A Bioinformatic Approach.Biochemical genetics · 2023Article
- Discovering common pathogenic processes between COVID-19 and HFRS by integrating RNA-seq differential expression analysis with machine learning.Frontiers in microbiology · 2023Article
- Immune-Related Protein Interaction Network in Severe COVID-19 Patients toward the Identification of Key Proteins and Drug Repurposing.Biomolecules · 2022Article
- Severe Acute Respiratory Syndrome Coronavirus 2 ORF8 Protein Inhibits Type I Interferon Production by Targeting HSP90B1 Signaling.Frontiers in cellular and infection microbiology · 2022Article
- Construction and Validation of a m7G-Related Gene-Based Prognostic Model for Gastric Cancer.Frontiers in oncology · 2022Article
- Transcriptome Analysis Reveals Hub Genes Regulating Autophagy in Patients With Severe COVID-19.Frontiers in genetics · 2022Article
- Effect of SARS-CoV-2 infection on asthma patients.Frontiers in medicine · 2022Article
- Effects of Bacille Calmette Guerin (BCG) vaccination during COVID-19 infection.Computers in biology and medicine · 2021Article
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Authors and funding
6 authors.
Funding
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Abstract
COVID-19 has emerged as global health threats. Chronic kidney disease (CKD) patients are immune-compromised and may have a high risk of infection by the SARS-CoV-2. We aimed to detect common transcriptomic signatures and pathways between COVID-19 and CKD by systems biology analysis. We analyzed transcriptomic data obtained from peripheral blood mononuclear cells (PBMC) infected with SARS-CoV-2 and PBMC of CKD patients. We identified 49 differentially expressed genes (DEGs) which were common between COVID-19 and CKD. The gene ontology and pathways analysis showed the DEGs were associated with "platelet degranulation", "regulation of wound healing", "platelet activation", "focal adhesion", "regulation of actin cytoskeleton" and "PI3K-Akt signalling pathway". The protein-protein interaction (PPI) network encoded by the common DEGs showed ten hub proteins (EPHB2, PRKAR2B, CAV1, ARHGEF12, HSP90B1, ITGA2B, BCL2L1, E2F1, TUBB1, and C3). Besides, we identified significant transcription factors and microRNAs that may regulate the common DEGs. We investigated protein-drug interaction analysis and identified potential drugs namely, aspirin, estradiol, rapamycin, and nebivolol. The identified common gene signature and pathways between COVID-19 and CKD may be therapeutic targets in COVID-19 patients with CKD comorbidity.
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