Transcriptomic studies revealed pathophysiological impact of COVID-19 to predominant health conditions. Issue 6 (2nd June 2021)

• Record Type: Journal Article
• Authors: Nain, Zulkar; Barman, Shital K; Sheam, Md Moinuddin; Syed, Shifath Bin; Samad, Abdus; Quinn, Julian M W; Karim, Mohammad Minnatul; Himel, Mahbubul Kabir; Roy, Rajib Kanti; Moni, Mohammad Ali; Biswas, Sudhangshu Kumar
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 6(2021)
• Publication Date: 2021-06-02
• Subjects: COVID-19 pandemic -- SARS-CoV-2 -- RNA-Seq -- hypertension -- microarray -- comorbidities; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbab197
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: Despite the association of prevalent health conditions with coronavirus disease 2019 (COVID-19) severity, the disease-modifying biomolecules and their pathogenetic mechanisms remain unclear. This study aimed to understand the influences of COVID-19 on different comorbidities and vice versa through network-based gene expression analyses. Using the shared dysregulated genes, we identified key genetic determinants and signaling pathways that may involve in their shared pathogenesis. The COVID-19 showed significant upregulation of 93 genes and downregulation of 15 genes. Interestingly, it shares 28, 17, 6 and 7 genes with diabetes mellitus (DM), lung cancer (LC), myocardial infarction and hypertension, respectively. Importantly, COVID-19 shared three upregulated genes (i.e. MX2, IRF7 and ADAM8 ) with DM and LC. Conversely, downregulation of two genes (i.e. PPARGC1A and METTL7A ) was found in COVID-19 and LC. Besides, most of the shared pathways were related to inflammatory responses. Furthermore, we identified six potential biomarkers and several important regulatory factors, e.g. transcription factors and microRNAs, while notable drug candidates included captopril, rilonacept and canakinumab. Moreover, prognostic analysis suggests concomitant COVID-19 may result in poor outcome of LC patients. This study provides the molecular basis and routes of the COVID-19 progression due to comorbidities. We believe these findings might be useful to further understand the intricate association of these diseases as well as for the therapeutic development.