Evidence map›Paper›PMID 37542577›Full record

ArticleApplied microbiology and biotechnology2023

Comparative proteomic investigation unravels the pathobiology of Mycobacterium fortuitum biofilm.

Ayushi Sharma, Saurabh Bansal, Neha Kumari, Jitendraa Vashistt, Rahul Shrivastava

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 2023. 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
3.0field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 14 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

5 authors at 1 institution in 1 country.

Ayushi SharmaDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, H.P, India.ORCID http://orcid.org/0000-0003-1475-3313
Saurabh BansalDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, H.P, India.ORCID http://orcid.org/0000-0002-0574-4063
Neha KumariDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, H.P, India.ORCID http://orcid.org/0000-0002-3545-4016
Jitendraa VashisttDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, H.P, India.ORCID http://orcid.org/0000-0002-8702-3170
Rahul ShrivastavaDepartment of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173234, H.P, India. juit.rahul@gmail.com.ORCID http://orcid.org/0000-0003-2031-8369
Jaypee University of Information Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biofilm formation by Mycobacterium fortuitum causes serious threats to human health due to its increased contribution to nosocomial infections. In this study, the first comprehensive global proteome analysis of M. fortuitum was reported under planktonic and biofilm growth states. A label-free Q Exactive Quadrupole-Orbitrap tandem mass spectrometry analysis was performed on the protein lysates. The differentially abundant proteins were functionally characterized and re-annotated using Blast2GO and CELLO2GO. Comparative analysis of the proteins among two growth states provided insights into the phenotypic switch, and fundamental pathways associated with pathobiology of M. fortuitum biofilm, such as lipid biosynthesis and quorum-sensing. Interaction network generated by the STRING database revealed associations between proteins that endure M. fortuitum during biofilm growth state. Hypothetical proteins were also studied to determine their functional alliance with the biofilm phenotype. CARD, VFDB, and PATRIC analysis further showed that the proteins upregulated in M. fortuitum biofilm exhibited antibiotic resistance, pathogenesis, and virulence. Heatmap and correlation analysis provided the biomarkers associated with the planktonic and biofilm growth of M. fortuitum. Proteome data was validated by qPCR analysis. Overall, the study provides insights into previously unexplored biochemical pathways that can be targeted by novel inhibitors, either for shortened treatment duration or for eliminating biofilm of M. fortuitum and related nontuberculous mycobacterial pathogens. KEY POINTS: • Proteomic analyses of M. fortuitum reveals novel biofilm markers. • Acetyl-CoA acetyltransferase acts as the phenotype transition switch. • The study offers drug targets to combat M. fortuitum biofilm infections.

Indexed as

BiofilmsMetabolic Networks and PathwaysMycobacterium fortuitumProteomeAcetyl-CoA C-AcetyltransferaseMicroscopy, Electron, ScanningQuorum SensingAcetyl-CoA C-AcetyltransferaseProteomeBiofilmDrug targetGlobal proteomeMycobacterium fortuitumNontuberculous mycobacteria

Identifiers

PMID37542577
OpenAlexW4385607068

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.