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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 (...

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Autores principales: Maras, Jaswinder Singh, Sharma, Shvetank, Bhat, Adil, Rooge, Sheetalnath, aggrawal, Reshu, Gupta, Ekta, Sarin, Shiv K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
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.
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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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