Evidence map›Paper›PMID 34877545›Full record

ArticleSTAR protocols2022

Global metabolome profiling of COVID-19 respiratory specimen using high-resolution mass spectrometry (HRMS).

Nupur Sharma, Sadam H Bhat, Gaurav Tripathi, Manisha Yadav, Babu Mathew, Vasundhra Bindal, Shvetank Sharma, Ekta Gupta, Jaswinder Singh Maras, Shiv Kumar Sarin

Abstract read
In one paragraph

Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. MTHFR allele and one-carbon metabolic profile predict severity of COVID-19.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Targeting ACLY efficiently inhibits SARS-CoV-2 replication.International journal of biological sciences · 2022
    Article
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

10 authors.

Nupur SharmaDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Sadam H BhatDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Gaurav TripathiDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Manisha YadavDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Babu MathewDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Vasundhra BindalDepartment 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.
Ekta GuptaDepartments of Virology, Institute of Liver and Biliary Sciences, New Delhi, India.
Jaswinder Singh MarasDepartment of Molecular and Cellular Medicine, Institute of Liver and Biliary Sciences, New Delhi 110070, India.
Shiv Kumar SarinDepartment of Hepatology, Institute of Liver and Biliary Sciences, New Delhi 110070, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we describe a protocol for identifying metabolites in respiratory specimens of patients that are SARS-CoV-2 positive, SARS-CoV-2 negative, or H1N1 positive. This protocol provides step-by-step instructions on sample collection from patients, followed by metabolite extraction. We use ultra-high-pressure liquid chromatography (UHPLC) coupled with high-resolution mass spectrometry (HRMS) for data acquisition and describe the steps for data analysis. The protocol was standardized with specific customization for SARS-CoV-2-containing respiratory specimens. For complete details on the use and execution of this protocol, please refer to Maras et al. (2021).

Indexed as

Chromatography, High Pressure LiquidComputational BiologyCOVID-19Diagnostic Tests, RoutineGene Expression ProfilingGenetic TechniquesHumansInfluenza A Virus, H1N1 SubtypeMass SpectrometryMetabolomeMetabolomicsReference StandardsSARS-CoV-2Specimen HandlingClinical ProtocolHealth SciencesImmunologyMass SpectrometryMetabolomics

Identifiers

PMID34877545
PMCPMC8639449

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.