Evidence map›Paper›PMID 27908274›Full record

ArticleBMC genomics2016

A novel approach to probe host-pathogen interactions of bovine digital dermatitis, a model of a complex polymicrobial infection.

Paolo Marcatili, Martin W Nielsen, Thomas Sicheritz-Pontén, Tim K Jensen, Claus Schafer-Nielsen, Mette Boye, Morten Nielsen, Kirstine Klitgaard

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.0field-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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Effect ofMicrobiology spectrum · 2026
    Article
  3. The Effect ofAnimals : an open access journal from MDPI · 2024
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  4. Article
  5. Article
  6. First Molecular Confirmation ofPathogens (Basel, Switzerland) · 2022
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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

8 authors at 4 institutions in 2 countries.

Paolo MarcatiliCenter for Biological Sequence analysis, Technical University of Denmark, Kemitorvet, 2800 Kgs., Lyngby, Denmark. paolo.marcatili@gmail.com.ORCID 0000-0003-2615-5695
Martin W NielsenNational Veterinary Institute, Technical University of Denmark, Bülowsvej 27, 1870, Frederiksberg C, Denmark.
Thomas Sicheritz-PonténCenter for Biological Sequence analysis, Technical University of Denmark, Kemitorvet, 2800 Kgs., Lyngby, Denmark.
Tim K JensenNational Veterinary Institute, Technical University of Denmark, Bülowsvej 27, 1870, Frederiksberg C, Denmark.
Claus Schafer-NielsenSchafer-N ApS, Lersø Parkallé 42, 2100, Copenhagen, Denmark.
Mette BoyeMolecular Diagnostic and Clinical Research Unit, Hospital of Southern Jutland, 6400, Sønderborg, Denmark.
Morten NielsenCenter for Biological Sequence analysis, Technical University of Denmark, Kemitorvet, 2800 Kgs., Lyngby, Denmark.
Kirstine KlitgaardNational Veterinary Institute, Technical University of Denmark, Bülowsvej 27, 1870, Frederiksberg C, Denmark.
Technical University of Denmark · DKNational University of General San Martín · ARSchafer-N (Denmark) · DKSygehus Sønderjylland · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolymicrobial infections represent a great challenge for the clarification of disease etiology and the development of comprehensive diagnostic or therapeutic tools, particularly for fastidious and difficult-to-cultivate bacteria. Using bovine digital dermatitis (DD) as a disease model, we introduce a novel strategy to study the pathogenesis of complex infections.

resultsThe strategy combines meta-transcriptomics with high-density peptide-microarray technology to screen for in vivo-expressed microbial genes and the host antibody response at the site of infection. Bacterial expression patterns supported the assumption that treponemes were the major DD pathogens but also indicated the active involvement of other phyla (primarily Bacteroidetes). Bacterial genes involved in chemotaxis, flagellar synthesis and protection against oxidative and acidic stress were among the major factors defining the disease.

conclusionsThe extraordinary diversity observed in bacterial expression, antigens and host antibody responses between individual cows pointed toward microbial variability as a hallmark of DD. Persistence of infection and DD reinfection in the same individual is common; thus, high microbial diversity may undermine the host's capacity to mount an efficient immune response and maintain immunological memory towards DD. The common antigenic markers identified here using a high-density peptide microarray address this issue and may be useful for future preventive measures against DD.

Indexed as

AnimalsBacteroidetesCattleCattle DiseasesCoinfectionDigital DermatitisDisease Models, AnimalGenetic VariationHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsImmunoglobulinsPhylogenyProtein Array AnalysisRNARNA, Ribosomal, 16SSequence Analysis, RNAImmunoglobulinsRNARNA, Ribosomal, 16SVirulence FactorsDigital dermatitisHigh-density peptide arraysIntegrated pipelineRNAseq

Identifiers

PMID27908274
PMCPMC5142292
OpenAlexW2557288023

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.