Cargando…
Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples
BACKGROUND: While our battle with the COVID-19 pandemic continues, a multitude of Omics data have been generated from patient samples in various studies. Translation of these data into clinical interventions against COVID-19 remains to be accomplished. Exploring host response to COVID-19 in the uppe...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358265/ https://www.ncbi.nlm.nih.gov/pubmed/34392148 http://dx.doi.org/10.1016/j.ebiom.2021.103525 |
_version_ | 1783737299981303808 |
---|---|
author | Biji, Abhijith Khatun, Oyahida Swaraj, Shachee Narayan, Rohan Rajmani, Raju S. Sardar, Rahila Satish, Deepshikha Mehta, Simran Bindhu, Hima Jeevan, Madhumol Saini, Deepak K. Singh, Amit Gupta, Dinesh Tripathi, Shashank |
author_facet | Biji, Abhijith Khatun, Oyahida Swaraj, Shachee Narayan, Rohan Rajmani, Raju S. Sardar, Rahila Satish, Deepshikha Mehta, Simran Bindhu, Hima Jeevan, Madhumol Saini, Deepak K. Singh, Amit Gupta, Dinesh Tripathi, Shashank |
author_sort | Biji, Abhijith |
collection | PubMed |
description | BACKGROUND: While our battle with the COVID-19 pandemic continues, a multitude of Omics data have been generated from patient samples in various studies. Translation of these data into clinical interventions against COVID-19 remains to be accomplished. Exploring host response to COVID-19 in the upper respiratory tract can unveil prognostic markers and therapeutic targets. METHODS: We conducted a meta-analysis of published transcriptome and proteome profiles of respiratory samples of COVID-19 patients to shortlist high confidence upregulated host factors. Subsequently, mRNA overexpression of selected genes was validated in nasal swabs from a cohort of COVID-19 positive/negative, symptomatic/asymptomatic individuals. Guided by this analysis, we sought to check for potential drug targets. An FDA-approved drug, Auranofin, was tested against SARS-CoV-2 replication in cell culture and Syrian hamster challenge model. FINDINGS: The meta-analysis and validation in the COVID-19 cohort revealed S100 family genes (S100A6, S100A8, S100A9, and S100P) as prognostic markers of severe COVID-19. Furthermore, Thioredoxin (TXN) was found to be consistently upregulated. Auranofin, which targets Thioredoxin reductase, was found to mitigate SARS-CoV-2 replication in vitro. Furthermore, oral administration of Auranofin in Syrian hamsters in therapeutic as well as prophylactic regimen reduced viral replication, IL-6 production, and inflammation in the lungs. INTERPRETATION: Elevated mRNA level of S100s in the nasal swabs indicate severe COVID-19 disease, and FDA-approved drug Auranofin mitigated SARS-CoV-2 replication in preclinical hamster model. FUNDING: This study was supported by the DBT-IISc partnership program (DBT (IED/4/2020-MED/DBT)), the Infosys Young Investigator award (YI/2019/1106), DBT-BIRAC grant (BT/CS0007/CS/02/20) and the DBT-Wellcome Trust India Alliance Intermediate Fellowship (IA/I/18/1/503613) to ST lab. |
format | Online Article Text |
id | pubmed-8358265 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-83582652021-08-12 Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples Biji, Abhijith Khatun, Oyahida Swaraj, Shachee Narayan, Rohan Rajmani, Raju S. Sardar, Rahila Satish, Deepshikha Mehta, Simran Bindhu, Hima Jeevan, Madhumol Saini, Deepak K. Singh, Amit Gupta, Dinesh Tripathi, Shashank EBioMedicine Research paper BACKGROUND: While our battle with the COVID-19 pandemic continues, a multitude of Omics data have been generated from patient samples in various studies. Translation of these data into clinical interventions against COVID-19 remains to be accomplished. Exploring host response to COVID-19 in the upper respiratory tract can unveil prognostic markers and therapeutic targets. METHODS: We conducted a meta-analysis of published transcriptome and proteome profiles of respiratory samples of COVID-19 patients to shortlist high confidence upregulated host factors. Subsequently, mRNA overexpression of selected genes was validated in nasal swabs from a cohort of COVID-19 positive/negative, symptomatic/asymptomatic individuals. Guided by this analysis, we sought to check for potential drug targets. An FDA-approved drug, Auranofin, was tested against SARS-CoV-2 replication in cell culture and Syrian hamster challenge model. FINDINGS: The meta-analysis and validation in the COVID-19 cohort revealed S100 family genes (S100A6, S100A8, S100A9, and S100P) as prognostic markers of severe COVID-19. Furthermore, Thioredoxin (TXN) was found to be consistently upregulated. Auranofin, which targets Thioredoxin reductase, was found to mitigate SARS-CoV-2 replication in vitro. Furthermore, oral administration of Auranofin in Syrian hamsters in therapeutic as well as prophylactic regimen reduced viral replication, IL-6 production, and inflammation in the lungs. INTERPRETATION: Elevated mRNA level of S100s in the nasal swabs indicate severe COVID-19 disease, and FDA-approved drug Auranofin mitigated SARS-CoV-2 replication in preclinical hamster model. FUNDING: This study was supported by the DBT-IISc partnership program (DBT (IED/4/2020-MED/DBT)), the Infosys Young Investigator award (YI/2019/1106), DBT-BIRAC grant (BT/CS0007/CS/02/20) and the DBT-Wellcome Trust India Alliance Intermediate Fellowship (IA/I/18/1/503613) to ST lab. Elsevier 2021-08-12 /pmc/articles/PMC8358265/ /pubmed/34392148 http://dx.doi.org/10.1016/j.ebiom.2021.103525 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research paper Biji, Abhijith Khatun, Oyahida Swaraj, Shachee Narayan, Rohan Rajmani, Raju S. Sardar, Rahila Satish, Deepshikha Mehta, Simran Bindhu, Hima Jeevan, Madhumol Saini, Deepak K. Singh, Amit Gupta, Dinesh Tripathi, Shashank Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples |
title | Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples |
title_full | Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples |
title_fullStr | Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples |
title_full_unstemmed | Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples |
title_short | Identification of COVID-19 prognostic markers and therapeutic targets through meta-analysis and validation of Omics data from nasopharyngeal samples |
title_sort | identification of covid-19 prognostic markers and therapeutic targets through meta-analysis and validation of omics data from nasopharyngeal samples |
topic | Research paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8358265/ https://www.ncbi.nlm.nih.gov/pubmed/34392148 http://dx.doi.org/10.1016/j.ebiom.2021.103525 |
work_keys_str_mv | AT bijiabhijith identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT khatunoyahida identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT swarajshachee identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT narayanrohan identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT rajmanirajus identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT sardarrahila identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT satishdeepshikha identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT mehtasimran identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT bindhuhima identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT jeevanmadhumol identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT sainideepakk identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT singhamit identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT guptadinesh identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples AT tripathishashank identificationofcovid19prognosticmarkersandtherapeutictargetsthroughmetaanalysisandvalidationofomicsdatafromnasopharyngealsamples |