Codon Usage and Context Analysis of Genes Modulated during SARS-CoV-2 Infection and Dental Inflammation.
Rekha KhandiaMegha Katare PandeyAzmat Ali KhanIgor Vladimirovich RzhepakovskyPankaj GurjarMohmed Isaqali KarobariPublished in: Vaccines (2022)
The overexpression of SARS-CoV-2 primary receptors and co-receptors ( ACE2 , TMPRSS2 , FURIN , and CD147 ) enhance the likeliness of SARS-CoV-2 infection. The genes for same receptors are overexpressed in the periodontal tissues of periodontitis patients. On the other hand, BMAL1 is recognized to play a crucial role in regulating pulmonary inflammation and enhancing susceptibility to viral infection. Silenced BMAL1 disrupts circadian transcriptional regulations, enhances vulnerability to SARS-CoV-2 infections, and may trigger the further production of TNF-α and other pro-inflammatory cytokines that propagate the cytokine storm and exacerbate periodontal inflammation. Therefore ACE2 , TMPRSS2 , FURIN , CD147 , and BMAL1 are the crossroads between SARS-CoV-2 and Periodontitis genes. The enhanced expression of ACE2 , TMPRSS2 , FURIN , and CD147 and the diminished expression of BMAL1 may be a strategy to check both ailments simultaneously. In gene manipulation techniques, oligos are introduced, which contain all the necessary information to manipulate gene expression. The data are derived from the studies on genes' molecular patterns, including nucleotide composition, dinucleotide patterns, relative synonymous codon usage, codon usage bias, codon context, and rare and abundant codons. Such information may be used to manipulate the overexpression and underexpression of the genes at the time of SARS-CoV-2 infection and periodontitis to mitigate both ailments simultaneously; it can be explored to uncover possible future treatments.
Keyphrases
- sars cov
- respiratory syndrome coronavirus
- genome wide
- gene expression
- genome wide identification
- oxidative stress
- bioinformatics analysis
- transcription factor
- poor prognosis
- dna methylation
- end stage renal disease
- genome wide analysis
- angiotensin ii
- cell proliferation
- rheumatoid arthritis
- angiotensin converting enzyme
- ejection fraction
- chronic kidney disease
- pulmonary hypertension
- climate change
- machine learning
- peritoneal dialysis
- prognostic factors
- deep learning
- anti inflammatory
- patient reported outcomes
- heat stress
- electronic health record