Evidence map›Paper›PMID 37318353›Full record

ArticleMicrobiology spectrum2023

Evaluating Effects of AIV Infection Status on Ducks Using a Flow Cytometry-Based Differential Blood Count.

Elinor Jax, Elena Werner, Inge Müller, Beatrice Schaerer, Marina Kohn, Jenny Olofsson, Jonas Waldenström, Robert H S Kraus, Sonja Härtle

Open access · goldAbstract read
In one paragraph

Article in Microbiology spectrum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

9 authors at 4 institutions in 2 countries.

Elinor Jax *Department of Biology, University of Konstanz, Konstanz, Germany.ORCID 0000-0001-5225-8634
Elena Werner *Department of Biology, University of Konstanz, Konstanz, Germany.
Inge MüllerDepartment of Biology, University of Konstanz, Konstanz, Germany.
Beatrice SchaererDepartment of Veterinary Sciences, AG Immunology, LMU Munich, Planegg, Germany.
Marina KohnDepartment of Veterinary Sciences, AG Immunology, LMU Munich, Planegg, Germany.
Jenny OlofssonCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden.
Jonas WaldenströmCentre for Ecology and Evolution in Microbial Model Systems, Linnaeus University, Kalmar, Sweden.ORCID 0000-0002-1152-4235
Robert H S KrausDepartment of Migration, Max Planck Institute of Animal Behavior, Radolfzell, Germany.
Sonja HärtleDepartment of Veterinary Sciences, AG Immunology, LMU Munich, Planegg, Germany.
University of Konstanz · DEUrologische Klinik München · DELinnaeus University · SEMax Planck Institute of Animal Behavior · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ducks have recently received a lot of attention from the research community due to their importance as natural reservoirs of avian influenza virus (AIV). Still, there is a lack of tools to efficiently determine the immune status of ducks. The purpose of this work was to develop an automated differential blood count for the mallard duck (Anas platyrhynchos), to assess reference values of white blood cell (WBC) counts in this species, and to apply the protocol in an AIV field study. We established a flow cytometry-based duck WBC differential based on a no-lyse no-wash single-step one-tube technique, applying a combination of newly generated monoclonal antibodies with available duck-specific as well as cross-reacting chicken markers. The blood cell count enables quantification of mallard thrombocytes, granulocytes, monocytes, B cells, CD4

Indexed as

Influenza A virusInfluenza in BirdsAnimalsBirdsDucksFlow CytometryHumansavianavian influenzaavian virusesbirdsdisease ecologyflow cytometryhigh-throughputleukocyte quantificationmallard

Identifiers

PMID37318353
PMCPMC10434237
OpenAlexW4380730110

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.