Evidence map›Paper›PMID 28372590›Full record

ArticleJournal of translational medicine2017

Proteomic analysis of protein purified derivative of Mycobacterium bovis.

Sante Roperto, Mariaconcetta Varano, Valeria Russo, Roberta Lucà, Monica Cagiola, Marco Gaspari, Dora Maria Ceccarelli, Giovanni Cuda, Franco Roperto

Open access · goldAbstract read
In one paragraph

Article in Journal of translational medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 19 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

9 authors at 3 institutions in 1 country.

Sante RopertoDipartimento di Medicina Veterinaria e delle Produzioni Animali, Università di Napoli Federico II, Naples, Italy. sante.roperto@unina.it.
Mariaconcetta VaranoDipartimento di Medicina Sperimentale e Clinica, Università di Catanzaro "Magna Græcia" Campus "S. Venuta", Catanzaro, Italy.
Valeria RussoDipartimento di Medicina Veterinaria e delle Produzioni Animali, Università di Napoli Federico II, Naples, Italy.
Roberta LucàDipartimento di Medicina Veterinaria e delle Produzioni Animali, Università di Napoli Federico II, Naples, Italy.
Monica CagiolaIstituto Zooprofilattico dell'Umbria e delle Marche, Perugia, Italy.
Marco GaspariDipartimento di Medicina Sperimentale e Clinica, Università di Catanzaro "Magna Græcia" Campus "S. Venuta", Catanzaro, Italy.
Dora Maria CeccarelliDipartimento di Medicina Veterinaria e delle Produzioni Animali, Università di Napoli Federico II, Naples, Italy.
Giovanni CudaDipartimento di Medicina Sperimentale e Clinica, Università di Catanzaro "Magna Græcia" Campus "S. Venuta", Catanzaro, Italy.
Franco RopertoDipartimento di Biologia, Università di Napoli Federico II, Naples, Italy.
University of Naples Federico II · ITMagna Graecia University · ITIstituto Zooprofilattico Sperimentale dell'Umbria e delle Marche · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculin skin test based on in vivo intradermal inoculation of purified protein derivative from Mycobacterium bovis (bPPD) is the diagnostic test for the control and surveillance of bovine tuberculosis (bTB).

methodsProteomic analysis was performed on different bPPD preparations from M. bovis, strain AN5. Proteins were precipitated from bPPD solutions by TCA precipitation. The proteome of bPPD preparations was investigated by bottom-up proteomics, which consisted in protein digestion and nano-LC-MS/MS analysis. Mass spectrometry analysis was performed on a Q-exactive hybrid quadrupole-Orbitrap mass spectrometer coupled online to an Easy nano-LC1000 system.

resultsThree hundred and fifty-six proteins were identified and quantified by at least 2 peptides (99% confidence per peptide). One hundred and ninety-eight proteins, which had not been previously described, were detected; furthermore, the proteomic profile shared 80 proteins with previous proteomes from bPPDs from the United Kingdom and Brazil and 139 protein components from bPPD from Korea. Locus name of M. bovis (Mb) with orthologs from M. tuberculosis H37Rv, comparative gene and protein length, molecular mass, functional categories, gene name and function of each protein were reported. Ninety-two T cell mycobacterial antigens responsible for delayed-type hypersensitivity were detected, fifty-two of which were not previously reported in any bPPD proteome. Data are available via ProteomeXchange with identifier PXD005920.

conclusionsThis study represents the highest proteome coverage of bPPD preparations to date. Since proteins perform cellular functions essential to health and/or disease, obtaining knowledge of their presence and variance is of great importance in understanding disease states and for advancing translational studies. Therefore, to better understand Mycobacterium tuberculosis complex biology during infection, survival, and persistence, the reproducible evaluation of the proteins that catalyze and control these processes is critically important. More active and more specific tuberculins would be desirable. Indeed, many antigens contained within bPPD are currently responsible for the cross-reactivity resulting in false-positive results as they are shared between non-tuberculous and tuberculous mycobacteria.

Indexed as

Antigens, BacterialBacterial ProteinsChromatography, LiquidMycobacterium bovisNanotechnologyProteomicsStaining and LabelingTandem Mass SpectrometryT-LymphocytesTuberculinAntigens, BacterialBacterial ProteinsTuberculin

Identifiers

PMID28372590
PMCPMC5376687
OpenAlexW2604758646

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.