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Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome
Rapid diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection still remains a major challenge. A multi-omic approach was adopted to analyze the respiratory specimens of 20 SARS-CoV-2-positive, 20 negative and 15 H1N1 pdm 2009 positive cases. Increased basal level of MX1 (...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268673/ https://www.ncbi.nlm.nih.gov/pubmed/34308298 http://dx.doi.org/10.1016/j.isci.2021.102823 |
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author | Maras, Jaswinder Singh Sharma, Shvetank Bhat, Adil Rooge, Sheetalnath aggrawal, Reshu Gupta, Ekta Sarin, Shiv K. |
author_facet | Maras, Jaswinder Singh Sharma, Shvetank Bhat, Adil Rooge, Sheetalnath aggrawal, Reshu Gupta, Ekta Sarin, Shiv K. |
author_sort | Maras, Jaswinder Singh |
collection | PubMed |
description | Rapid diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection still remains a major challenge. A multi-omic approach was adopted to analyze the respiratory specimens of 20 SARS-CoV-2-positive, 20 negative and 15 H1N1 pdm 2009 positive cases. Increased basal level of MX1 (MX dynamin-like GTPase 1) and WARS (tryptophan-tRNA ligase) correlated with SARS-CoV-2 infection and its outcome. These markers were further validated in 200 suspects. MX1>30pg/ml and WARS>25ng/ml segregated virus positives [AUC = 94% CI: (0.91–0.97)] and severe patients [AUC>0.85%]. Our results documented significant increase in immune activation; metabolic reprograming and decrease in oxygen transport, wound healing and others linked proteins and metabolites in patients with coronavirus disease 2019 (COVID-19). Multi-omics profiling correlated with viremia and segregated asymptomatic patients with COVID-19. Additionally, we identified increased respiratory pathogens (Burkholderiales, Klebsiella pneumonia) and decreased lactobacillus salivarius (FDR<0.05) in COVID-19 specimens. In conclusion, increased basal MX1 and WARS levels correlates with SARS-CoV-2 infection and could aid in the identification of patient's predisposed to higher severity. |
format | Online Article Text |
id | pubmed-8268673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-82686732021-07-20 Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome Maras, Jaswinder Singh Sharma, Shvetank Bhat, Adil Rooge, Sheetalnath aggrawal, Reshu Gupta, Ekta Sarin, Shiv K. iScience Article Rapid diagnosis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection still remains a major challenge. A multi-omic approach was adopted to analyze the respiratory specimens of 20 SARS-CoV-2-positive, 20 negative and 15 H1N1 pdm 2009 positive cases. Increased basal level of MX1 (MX dynamin-like GTPase 1) and WARS (tryptophan-tRNA ligase) correlated with SARS-CoV-2 infection and its outcome. These markers were further validated in 200 suspects. MX1>30pg/ml and WARS>25ng/ml segregated virus positives [AUC = 94% CI: (0.91–0.97)] and severe patients [AUC>0.85%]. Our results documented significant increase in immune activation; metabolic reprograming and decrease in oxygen transport, wound healing and others linked proteins and metabolites in patients with coronavirus disease 2019 (COVID-19). Multi-omics profiling correlated with viremia and segregated asymptomatic patients with COVID-19. Additionally, we identified increased respiratory pathogens (Burkholderiales, Klebsiella pneumonia) and decreased lactobacillus salivarius (FDR<0.05) in COVID-19 specimens. In conclusion, increased basal MX1 and WARS levels correlates with SARS-CoV-2 infection and could aid in the identification of patient's predisposed to higher severity. Elsevier 2021-07-09 /pmc/articles/PMC8268673/ /pubmed/34308298 http://dx.doi.org/10.1016/j.isci.2021.102823 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 | Article Maras, Jaswinder Singh Sharma, Shvetank Bhat, Adil Rooge, Sheetalnath aggrawal, Reshu Gupta, Ekta Sarin, Shiv K. Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome |
title | Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome |
title_full | Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome |
title_fullStr | Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome |
title_full_unstemmed | Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome |
title_short | Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome |
title_sort | multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with sars-cov-2 outcome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8268673/ https://www.ncbi.nlm.nih.gov/pubmed/34308298 http://dx.doi.org/10.1016/j.isci.2021.102823 |
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