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1.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.10.02.323519

ABSTRACT

Background: SARS-CoV-2, the virus causing the Covid-19 pandemic emerged in December 2019 in China and raised fears that it could overwhelm healthcare systems worldwide. In June 2020, all African countries registered human infections with SARS-CoV-2. The virus is mutating steadily and this is monitored by a well curated database of viral nucleotide sequences from samples taken from infected individual thus enabling phylogenetic analysis and phenotypic associations. Methods: We downloaded from the GISAID database, SARS-CoV-2 sequences established from four West African countries Ghana, Gambia, Senegal and Nigeria and then performed phylogenetic analysis employing the nextstrain pipeline. Based on mutations found within the sequences we calculated and visualized statistics characterizing clades according to the GISAID nomenclature. Results: We found country-specific patterns of viral clades: the later Europe-associated G-clades predominantly in Senegal and Gambia, and combinations of the earlier (L, S, V) and later clades in Ghana and Nigeria. Contrary to our expectations, the later Europe-associated G-clades emerged before the earlier clades. Detailed analysis of distinct samples showed that some of the earlier clades might have circulated latently and some reflect migration routes via Mali and Tunisia. Conclusions: The distinct patterns of viral clades in the West African countries point at its emergence from Europe and China via Asia and Europe. The observation that the later clades emerged before the earlier clades could be simply due to founder effects or due to latent circulation of the earlier clades. Only a marginal correlation of the G-clades associated with the D614G mutation could be identified with the relatively low case fatality (0.6-3.2).


Subject(s)
COVID-19
2.
biorxiv; 2020.
Preprint in English | bioRxiv | ID: ppzbmed-10.1101.2020.05.12.091314

ABSTRACT

The COVID-19 pandemic resulting from the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which emerged in December 2019 in the Chinese city of Wuhan in the province Hubei has placed immense burden on national economies and global health. At present neither vaccination nor therapies are available although several antiviral agents such as remdesivir, originally an Ebola drug, nelfinavir, an HIV-1 protease inhibitor and other drugs such as lopinavir have been evaluated. Here, we performed a meta-analysis of RNA-sequencing data from three studies employing human lung epithelial cells. Of these one focused on lung epithelial cells infected with SARS-CoV-2. We aimed at identifying genes co-expressed with angiotensin I converting enzyme 2 (ACE2) the human cell entry receptor of SARS-CoV-2, and unveiled several genes correlated or inversely correlated with high significance, among the most significant of these was the transmembrane serine protease 4 (TMPRSS4). Serine proteases are known to be involved in the infection process by priming the virus spike protein. Pathway analysis revealed papilloma virus infection amongst the most significantly correlated pathways. Gene Ontologies revealed regulation of viral life cycle, immune responses, pro-inflammatory responses-several interleukins such as IL6, IL1, IL20 and IL33, IFI16 regulating the interferon response to a virus, chemo-attraction of macrophages, last and not least cellular stress resulting from activated Reactive Oxygen Species. We believe that this dataset will aid in a better understanding of the molecular mechanism(s) underlying COVID-19.


Subject(s)
COVID-19
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