Evidence map›Paper›PMID 38516829›Full record

ArticleVeterinary medicine and science2024

Detection of Bartonella schoenbuchensis (sub)species DNA in different louse fly species in Saxony, Germany: The proof of multiple PCR analysis necessity in case of ruminant-associated bartonellae determination.

Isabelle Vogt, Stephanie Schröter, Ruben Schreiter, Hein Sprong, Karolina Volfová, Matthias Jentzsch, Markus Freick

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2024. 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
3.6field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. The role of deer keds (Diptera: Hippoboscidae: Lipoptena and Neolipoptena) in occupational and public health.Journal of occupational medicine and toxicology (London, England) · 2025
    Review
  4. Article
  5. Diversity and Multiple Infections ofPathogens (Basel, Switzerland) · 2024
    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

7 authors at 3 institutions in 3 countries.

Isabelle VogtFaculty of Agriculture/Environment/Chemistry, HTW Dresden - University of Applied Sciences, Dresden, Germany.
Stephanie SchröterFaculty of Agriculture/Environment/Chemistry, HTW Dresden - University of Applied Sciences, Dresden, Germany.
Ruben SchreiterZAFT e.V. - Centre for Applied Research and Technology, Dresden, Germany.
Hein SprongLaboratory for Zoonoses and Environmental Microbiology, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Karolina VolfováDepartment of Parasitology, Faculty of Science, Charles University, Prague, Czech Republic.
Matthias JentzschFaculty of Agriculture/Environment/Chemistry, HTW Dresden - University of Applied Sciences, Dresden, Germany.
Markus FreickFaculty of Agriculture/Environment/Chemistry, HTW Dresden - University of Applied Sciences, Dresden, Germany.ORCID 0000-0003-2695-8316
Hochschule für Technik und Wirtschaft Dresden – University of Applied Sciences · DECharles University · CZNational Institute for Public Health and the Environment · NL

Funding

Ministry of Health of the Czech Republic NU23-05-00511Open Access Publication Fund of Hochschule für Technik und Wirtschaft-Dresden University of Applied Sciences and the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) 432908064
6 · The paper itself

Abstract

backgroundHippoboscid flies are bloodsucking arthropods that can transmit pathogenic microorganisms and are therefore potential vectors for pathogens such as Bartonella spp. These Gram-negative bacteria can cause mild-to-severe clinical signs in humans and animals; therefore, monitoring Bartonella spp. prevalence in louse fly populations appears to be a useful prerequisite for zoonotic risk assessment.

methodsUsing convenience sampling, we collected 103 adult louse flies from four ked species (Lipoptena cervi, n = 22; Lipoptena fortisetosa, n = 61; Melophagus ovinus, n = 12; Hippobosca equina, n = 8) and the pupae of M. ovinus (n = 10) in the federal state of Saxony, Germany. All the samples were screened by polymerase chain reaction (PCR) for Bartonella spp. DNA, targeting the citrate synthase gene (gltA). Subsequently, PCRs targeting five more genes (16S, ftsZ, nuoG, ribC and rpoB) were performed for representatives of revealed gltA genotypes, and all the PCR products were sequenced to identify the Bartonella (sub)species accurately. RESULTS AND

conclusionsThe overall detection rates for Bartonella spp. were 100.0%, 59.1%, 24.6% and 75.0% in M. ovinus, L. cervi, L. fortisetosa and H. equina, respectively. All the identified bartonellae belong to the Bartonella schoenbuchensis complex. Our data support the proposed reclassification of the (sub)species status of this group, and thus we conclude that several genotypes of B. schoenbuchensis were detected, including Bartonella schoenbuchensis subsp. melophagi and Bartonella schoenbuchensis subsp. schoenbuchensis, both of which have previously validated zoonotic potential. The extensive PCR analysis revealed the necessity of multiple PCR approach for proper identification of the ruminant-associated bartonellae.

Indexed as

BartonellaDipteraPhthirapteraAnimalsDNADNA, BacterialGermanyHumansPolymerase Chain ReactionRuminantsDNADNA, BacterialBartonella schoenbuchensisBartonella schoenbuchensis subsp. melophagiHippobosca equinaHippoboscidaeLipoptena cerviLipoptena fortisetosaMelophagus ovinusmultiple polymerase chain reaction analysis

Identifiers

PMID38516829
PMCPMC10958399
OpenAlexW4393093354

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.