Evidence map›Paper›PMID 17593301›Full record

ArticleBMC microbiology2007

Microarray for serotyping of Bartonella species.

Cyrille J Bonhomme, Claude Nappez, Didier Raoult

Abstract readValidation Study
In one paragraph

Article in BMC microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. [Microbiological diagnosis: Etiologic driven and syndrome driven].Antibiotiques (Paris, France : 1999) · 2009
    Article
  4. Human case of Bartonella alsatica lymphadenitis.Emerging infectious diseases · 2008
    Article
  5. Serological microarray for a paradoxical diagnostic of Whipple's disease.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2008
    Article
  6. 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

3 authors.

Cyrille J BonhommeUnité des Rickettsies, CNRS UMR 6020, Faculté de Médecine de Marseille, Marseille cedex 05, France. cyrille.bomhomme@medecine.univ-mrs.fr <cyrille.bomhomme@medecine.univ-mrs.fr>
Claude Nappez
Didier Raoult

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBacteria of the genus Bartonella are responsible for a large variety of human and animal diseases. Serological typing of Bartonella is a method that can be used for differentiation and identification of Bartonella subspecies.

resultsWe have developed a novel multiple antigenic microarray to serotype Bartonella strains and to select poly and monoclonal antibodies. It was validated using mouse polyclonal antibodies against 29 Bartonella strains. We then tested the microarray for serotyping of Bartonella strains and defining the profile of monoclonal antibodies. Bartonella strains gave a strong positive signal and all were correctly identified. Screening of monoclonal antibodies towards the Gro EL protein of B. clarridgeiae identified 3 groups of antibodies, which were observed with variable affinities against Bartonella strains.

conclusionWe demonstrated that microarray of spotted bacteria can be a practical tool for serotyping of unidentified strains or species (and also for affinity determination) by polyclonal and monoclonal antibodies. This could be used in research and for identification of bacterial strains.

Indexed as

AnimalsAntibodies, BacterialAntibodies, MonoclonalAntigens, BacterialBartonellaChaperonin 60HumansMiceProtein Array AnalysisSerotypingAntibodies, BacterialAntibodies, MonoclonalAntigens, BacterialChaperonin 60

Identifiers

PMID17593301
PMCPMC3225882

What OpenQuestion holds

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LicenceCC BY
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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.