About: Multi-Omics integration analysis of respiratory specimen characterizes baseline molecular determinants associated with COVID-19 diagnosis.

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Multi-Omics integration analysis of respiratory specimen characterizes baseline molecular determinants associated with COVID-19 diagnosis.
Creator	Gupta, Ekta Sarin, Shiv Aggrawal, Reshu Bhat, Adil Jaswinder, Singh Maras, Sharma, Shvetank Singh Maras, Jaswinder
source	MedRxiv
abstract	Abstract: Rapid diagnosis and precise prognostication of SARS-CoV-2 infection remains a major challenge. A multi-omic approach was adopted, and in the discovery phase, global proteome/metaproteome/metabolome were analysed in the respiratory specimens of SARS-CoV-2 positive [n=20], negative [n=20], and H1N1 positive [n=5] cases. We identified MX1 (MX Dynamin Like GTPase 1) and WARS (Tryptophan--tRNA ligase) as clues to viral diagnosis and validated in 200 SARS-CoV-2 suspects. MX1 >30pg/ml and WARS >25ng/ml segregated virus positives patients [(AUC=94%CI(0.91-0.97)]. Distinct increase in SARS-CoV-2 induced immune activation, metabolic reprograming and a decrease in oxygen transport, wound healing, fluid regulation, vitamin and steroid metabolism was seen (p<0.05). Multi-omics profiling correlated with viraemia and segregated asymptomatic COVID-19 patients. Additionally, the multiomics approach identified increased respiratory pathogens [Burkholderiales, Klebsiella pneumonia] and decreased lactobacillus salivarius (FDR<0.05, p<0.05) in COVID-19 specimens. Conclusion: Novel proteins [MX1 and WARS] can rapidly and reliably diagnose SARS-CoV-2 infection and identify asymptomatic and mild disease.
has issue date	2020-07-07(xsd:dateTime)
bibo:doi	10.1101/2020.07.06.20147082
has license	medrxiv
sha1sum (hex)	74074fbfae055cefa305f4985f07ac8599188603
schema:url	https://doi.org/10.1101/2020.07.06.20147082
resource representing a document's title	Multi-Omics integration analysis of respiratory specimen characterizes baseline molecular determinants associated with COVID-19 diagnosis.
resource representing a document's body	covid:74074fbfae055cefa305f4985f07ac8599188603#body_text
is schema:about of	named entity 'H1N1' named entity 'virus' named entity 'tRNA' named entity 'rapidly' named entity 'respiratory' named entity 'precise' named entity 'MX1' named entity 'global' named entity 'Tryptophan' named entity 'AUC' named entity 'metabolism' named entity 'immune' named entity 'WARS' named entity 'COVID-19' named entity 'positive' named entity 'SARS-CoV-2' named entity 'reliably' named entity 'metabolic' named entity 'disease' named entity 'Novel' named entity 'SARS-CoV-2' named entity 'infection' named entity 'diagnosis' named entity 'wound healing' named entity 'WARS' named entity 'Burkholderiales' named entity 'omic' named entity 'Klebsiella pneumonia' named entity 'metabolome' named entity 'prognostication' named entity 'virus' named entity 'proteome' named entity 'asymptomatic' named entity 'asymptomatic' named entity 'SARS-CoV-2' named entity 'lactobacillus' named entity 'pathogens' named entity 'infection' named entity 'firmicutes' named entity 'NOD-like receptor' named entity 'preprint' named entity 'biosafety' named entity 'COVID' named entity 'COVID' named entity 'SARS-CoV-2' named entity 'sensitivity/specificity' named entity 'COVID' named entity 'infection' named entity 'COVID' named entity 'COVID' named entity 'aqueous' named entity 'SARS-CoV-2' named entity 'Metabolites' named entity 'viral proteins' named entity 'biomolecules' named entity 'COVID' named entity 'medRxiv' named entity 'metabolites' named entity 'correlation' named entity 'hierarchical clustering' named entity 'preprint' named entity 'mucosa' named entity 'infection' named entity 'COVID' named entity 'hall mark' named entity 'COVID' named entity 'preprint' named entity 'medRxiv' named entity 'infection rate' named entity 'asymptomatic' named entity 'SARS-CoV-2' named entity 'hierarchical clustering' named entity 'H1N1' named entity 'COVID-19 disease' named entity 'preprint' named entity 'oropharyngeal' named entity 'pneumonia' named entity 'preprint'

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