Evidence map›Paper›PMID 34308298›Full record

ArticleiScience2021

Multi-omics analysis of respiratory specimen characterizes baseline molecular determinants associated with SARS-CoV-2 outcome.

Jaswinder Singh Maras, Shvetank Sharma, Adil Bhat, Sheetalnath Rooge, Reshu Aggrawal, Ekta Gupta, Shiv K Sarin

Open access · goldAbstract read
In one paragraph

Article in iScience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
2.3field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Jaswinder Singh MarasDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Shvetank SharmaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Adil BhatDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Sheetalnath RoogeDepartment of Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Reshu AggrawalDepartment of Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Ekta GuptaDepartment of Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Shiv K SarinDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Institute of Liver and Biliary Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Molecular biologyVirology

Identifiers

PMID34308298
PMCPMC8268673
OpenAlexW3178004498

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.