Analysis of SARS-CoV-2 haplotypes and genomic sequences during 2020 in Victoria, Australia, in the context of putative deficits in innate immune deaminase anti-viral responses.
Robyn A LindleyEdward J SteelePublished in: Scandinavian journal of immunology (2021)
The SARS-CoV-2 epidemic infections in Australia during 2020 were small in number in epidemiological terms and are well described. The SARS-CoV-2 genomic sequence data of many infected patients have been largely curated in a number of publicly available databases, including the corresponding epidemiological data made available by the Victorian Department of Health and Human Services. We have critically analysed the available SARS-CoV-2 haplotypes and genomic sequences in the context of putative deficits in innate immune APOBEC and ADAR deaminase anti-viral responses. It is now known that immune impaired elderly co-morbid patients display clear deficits in interferon type 1 (α/β) and III (λ) stimulated innate immune gene cascades, of which APOBEC and ADAR induced expression are part. These deficiencies may help explain some of the clear genetic patterns in SARS-CoV-2 genomes isolated in Victoria, Australia, during the 2nd Wave (June-September, 2020). We tested the hypothesis that predicted lowered innate immune APOBEC and ADAR anti-viral deaminase responses in a significant proportion of elderly patients would be consistent with/reflected in a low level of observed mutagenesis in many isolated SARS-CoV-2 genomes. Our findings are consistent with this expectation. The analysis also supports the conclusions of the Victorian government's Department of Health that essentially one variant or haplotype infected Victorian aged care facilities where the great majority (79%) of all 820 SARS-CoV-2 associated deaths occurred. The implications of our data analysis for other localized epidemics and efficient coronavirus vaccine design and delivery are discussed.
Keyphrases
- sars cov
- innate immune
- respiratory syndrome coronavirus
- healthcare
- data analysis
- copy number
- traumatic brain injury
- public health
- mental health
- primary care
- ejection fraction
- palliative care
- endothelial cells
- gene expression
- newly diagnosed
- health information
- crispr cas
- risk assessment
- prognostic factors
- big data
- drug induced
- transcription factor
- dendritic cells
- quality improvement
- climate change
- tertiary care
- electronic health record
- oxidative stress
- chronic pain
- machine learning
- chronic kidney disease
- artificial intelligence
- human health
- high glucose
- patient reported
- patient reported outcomes
- stress induced
- genome wide identification