Evidence map›Paper›PMID 38941023›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

Metaproteomics for Coinfections in the Upper Respiratory Tract: The Case of COVID-19.

Surbhi Bihani, Aryan Gupta, Subina Mehta, Andrew Rajczewski, Timothy Griffin, Pratik Jagtap, Sanjeeva Srivastava

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Surbhi BihaniDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.
Aryan GuptaDepartment of Chemistry, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.
Subina MehtaDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Andrew RajczewskiDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Timothy GriffinDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA.
Pratik JagtapDepartment of Biochemistry, Molecular Biology and Biophysics, University of Minnesota, Minneapolis, MN, USA. pjagtap@umn.edu.
Sanjeeva SrivastavaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India. sanjeeva@iitb.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The upper respiratory tract (URT) is home to a diverse range of microbial species. Respiratory infections disturb the microbial flora in the URT, putting people at risk of secondary infections. The potential dangers and clinical effects of bacterial and fungal coinfections with SARS-CoV-2 support the need to investigate the microbiome of the URT using clinical samples. Mass spectrometry (MS)-based metaproteomics analysis of microbial proteins is a novel approach to comprehensively assess the clinical specimens with complex microbial makeup. The coronavirus that causes severe acute respiratory syndrome (SARS-CoV-2) is responsible for the COVID-19 pandemic resulting in a plethora of microbial coinfections impeding therapy, prognosis, and overall disease management. In this chapter, the corresponding workflows for MS-based shotgun proteomics and metaproteomic analysis are illustrated.

Indexed as

CoinfectionCOVID-19ProteomicsSARS-CoV-2HumansMass SpectrometryMicrobiotaProteomeRespiratory SystemRespiratory Tract InfectionsProteomeCOVID-19GalaxyMass spectrometryMetaproteomicsSARS-CoV-2

Identifiers

PMID38941023

What OpenQuestion holds

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Registered trials

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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.