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The 2019 Wuhan outbreak is caused by the bacteria Prevotella, which is aided by the coronavirus, possibly to adhere to epithelial cells - Prevotella is present in huge amounts in patients from both China and Hong Kong

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Abstract

A hitherto unknown cause of the Wuhan coronavirus outbreak [1–3] is reported here - a bacteria from the Prevotella genus. The number of Wuhan coronavirus deaths in mainland China has overtaken the SARS epidemic in the country. The high mortality is being caused by targeting only the virus (which is also present). This is a two pronged attack, as previously noted in ‘infection with human coronavirus NL63 enhances streptococcal adherence to epithelial cells‘ [6]. Prevotella is a well known pathogen, and can induce ‘Severe Bacteremic Pneumococcal Pneumonia in Mice with Upregulated Platelet-Activating Factor Receptor Expression’ [7].The RNA-seq data from Wuhan, China (PRJNA603194) has millions of reads of Prevotella proteins, and a few thousands from 2019-nCoV (Table 1). Similarly, the DNA sequences (PRJNA601630) of 6 patients from the same family in Hong Kong [3] shows significant presence of this bacteria. These sequences can be found at SI:China.RNA-seq/SampleSequences.fa(n=480K) and SI:HongKong/ALLsequences.fa(n=50k).Finally, the expression levels (Table 2) shows that the elongation factor Tu is the most expressed. ‘Elon- gation factor Tu (Tuf) is a new virulence factor of Streptococcus pneumoniae that binds human complement factors, aids in immune evasion and host tissue invasion’ [8].These are the only two studies I could find. Detection of the Prevotella in other samples will add more credence to this theory. Detection of the nCoV can be made very specific by looking for a 500bp in the spike protein [4], which would be a good candidate for vaccine development, protein-inhibition and diagnosis (which was non-specific for SARS in many cases, including the CDC test [5]). Anti-virals neeed to be supplemented with anti-bacterial agents to treat this disease.

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... The modulation of microflora under the influence of pathogens is a major factor deciding fate of infections. During a recent metagenomic study carried out on COVID-2019 patients (NCBI Bioproject Accession ID: PRJNA603194), it was found that some bacteria are overrepresented in the lungs of infected patients (Chakraborty, 2020). The over expressed proteins in the most abundant Prevotella species were also found. ...
... We elucidated a mechanistic insight of these hostpathogen interactions in the severity of COVID-2019. IDs from lung metagenomic study (Chakraborty, 2020). ...
... Different species of Prevotella represented highest 23% share of lung metagenome after 61% unidentified spots (dark matter). Moreover, the overexpressed proteins in Prevotella strains associated with COVID-2019 patients identified in above study is presented in Table 1 in order to give overview about key proteins (Chakraborty, 2020). Table S1 and S2 respectively. ...
Article
Motivation: The outbreak of COVID-2019 initiated at Wuhan, China has become a global threat by rapid transmission and severe fatalities. Recent studies have uncovered whole genome sequence of SARS-CoV-2 (causing COVID-2019). In addition, lung metagenomic studies on infected patients revealed overrepresented Prevotella spp. producing certain proteins in abundance. We performed host-pathogen protein-protein interaction analysis between SARS-CoV-2 and overrepresented Prevotella proteins with human proteome. We also performed functional overrepresentation analysis of interacting proteins to understand their role in COVID-2019 severity. Results: It was found that over-expressed Prevotella proteins can promote viral infection. As per the results, Prevotella proteins, but not viral proteins are involved in multiple interactions with NF-kB, which is involved in increasing clinical severity of COVID-2019. Prevotella may have role in COVID-2019 outbreak and should be given importance for understanding disease mechanisms and improving treatment outcomes. Supplementary information: Supplementary data are available at Bioinformatics online.
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