Evidence map›Paper›PMID 31174546›Full record

ArticleBMC veterinary research2019

Mycobacterium tuberculosis extracellular vesicle-associated lipoprotein LpqH as a potential biomarker to distinguish paratuberculosis infection or vaccination from tuberculosis infection.

Ainhoa Palacios, Leticia Sampedro, Iker A Sevilla, Elena Molina, David Gil, Mikel Azkargorta, Felix Elortza, Joseba M Garrido, Juan Anguita, Rafael Prados-Rosales

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
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  4. In silico design ofHeliyon · 2024
    Article
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  8. Review
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  10. Extracellular Vesicles in Mycobacteria and Tuberculosis.Frontiers in cellular and infection microbiology · 2022
    Review
  11. Article
  12. Article
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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

10 authors at 4 institutions in 2 countries.

Ainhoa PalaciosCIC bioGUNE, Bizkaia Technology Park, Building 801A, 48160, Derio, Bizkaia, Spain.
Leticia SampedroCIC bioGUNE, Bizkaia Technology Park, Building 801A, 48160, Derio, Bizkaia, Spain.
Iker A SevillaNEIKER-Instituto Vasco de Investigación y Desarrollo Agrario, Animal Health Department, Bizkaia Science and Technology Park, Derio, Bizkaia, Spain.
Elena MolinaNEIKER-Instituto Vasco de Investigación y Desarrollo Agrario, Animal Health Department, Bizkaia Science and Technology Park, Derio, Bizkaia, Spain.
David GilElectron microscopy platform, CIC bioGUNE, Bizkaia Technology Park, Derio, Bizkaia, Spain.
Mikel AzkargortaProteomics platform, CIC bioGUNE, Bizkaia Technology Park, Derio, Bizkaia, Spain.
Felix ElortzaProteomics platform, CIC bioGUNE, Bizkaia Technology Park, Derio, Bizkaia, Spain.
Joseba M GarridoNEIKER-Instituto Vasco de Investigación y Desarrollo Agrario, Animal Health Department, Bizkaia Science and Technology Park, Derio, Bizkaia, Spain.
Juan AnguitaCIC bioGUNE, Bizkaia Technology Park, Building 801A, 48160, Derio, Bizkaia, Spain.
Rafael Prados-RosalesCIC bioGUNE, Bizkaia Technology Park, Building 801A, 48160, Derio, Bizkaia, Spain. rprados@cicbiogune.es.ORCID http://orcid.org/0000-0001-5964-0166
CIC bioGUNE · ESEuskadiko Parke Teknologikoa · ESAlbert Einstein College of Medicine · USIkerbasque · ES

Funding

Molecular dissection of vesiculogenesis in Mycobacterium tuberculosisR21AI115091 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI PRADOS-ROSALES, RAFAEL · 2015 to 2016
$459k
NIAID NIH HHS R21 AI115091
6 · The paper itself

Abstract

backgroundBoth bovine tuberculosis (TB) and paratuberculosis (PTB) are serious and widespread bacterial infections affecting many domestic and wild animal species. However, current vaccines do not confer complete protection and cause interference with other diagnostics tests, including bovine TB. Therefore, the development of "Differentiating Infected from Vaccinated Animals" (DIVA) tests are a pressing need. In this study, we have tested the feasibility of mycobacterial extracellular vesicles (EVs) as potential source of biomarkers to discriminate between Mycobacterium bovis infected, Mycobacterium avium subsp. paratuberculosis (MAP) infected and MAP-vaccinated cows. We have, initially, characterized vesicle production in the two most medically relevant species of mycobacteria for livestock, MAP and M. bovis, for being responsible for tuberculosis (TB) and paratuberculosis (PTB).

resultsOur results indicate that these two species produce EVs with different kinetics, morphology and size distribution. Analysis of the immunogenicity of both type of EVs showed some cross reactivity with sera from PTB+ and TB+ cows, suggesting a limited diagnostic capacity for both EVs. Conversely, we noticed that Mycobacterium tuberculosis (Mtb) EVs showed some differential reactivity between sera from MAP-vaccinated or PTB+ cows from TB+ ones. Mass spectrometry analysis (MS) identified a 19-kDa EV-associated lipoprotein as the main source of the differential reactivity.

conclusionsLpqH could be a good plasma biomarker with capacity to distinguish PTB+ or MAP-vaccinated cows from cows infected with TB.

Indexed as

AnimalsBacterial VaccinesBiomarkersCattleCattle DiseasesCross ReactionsExtracellular VesiclesLipoproteinsMycobacterium avium subsp. paratuberculosisMycobacterium bovisMycobacterium tuberculosisParatuberculosisTuberculosis, BovineVaccinationBacterial VaccinesBiomarkersLipoproteinsExtracellular vesiclesLipoproteinLpqHMycobacterium avium paratuberculosisMycobacterium bovisMycobacterium tuberculosisPlasma

Identifiers

PMID31174546
PMCPMC6555097
OpenAlexW2955510238

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.