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bioRxiv · 10.1101/2021.02.18.431825

Meta-analysis of orthogonal OMICs data from COVID-19 patients unveils prognostic markers and antiviral factors.

Biji, A.·Swaraj, S.·Khatun, O.·Narayan, R.·Sardar, R.·Satish, D.·Mehta, S.·Bindhu, H.·Jeevan, M.·Saini, D. K.·Singh, A.·Gupta, D.·Tripathi, S.
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Abstract

While our battle with the COVID-19 pandemic continues, a multitude of Omics data has been generated from patient samples in various studies, which remains to be translated. We conducted a meta-analysis of published transcriptome and proteome profiles of nasal swab and bronchioalveolar lavage fluid (BALF) samples of COVID-19 patients, to shortlist high confidence upregulated host factors. Subsequently, mRNA overexpression of selected genes was validated in nasal swab/BALF samples from a cohort of COVID-19 positive/negative, symptomatic/asymptomatic individuals. Analysis of these data revealed S100 family genes (S100A6, S100A8, S100A9, and S100P) as prognostic markers of COVID-19 disease. Furthermore, Thioredoxin gene (TXN) was identified as a significant upregulated host factor in our overlap analysis. An FDA-approved drug Auranofin, which inhibits Thioredoxin reduction, was found to mitigate SARS-CoV-2 replication in vitro and in vivo in the hamster challenge model. Overall, this study translates COVID-19 host response Big Data into potential clinical interventions.

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Biji, A., Swaraj, S., Khatun, O., Narayan, R., Sardar, R., Satish, D., Mehta, S., Bindhu, H., Jeevan, M., Saini, D. K., Singh, A., Gupta, D., Tripathi, S.. 2021-02-18. Meta-analysis of orthogonal OMICs data from COVID-19 patients unveils prognostic markers and antiviral factors.. https://doi.org/10.1101/2021.02.18.431825

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