Evidence map›Paper›PMID 34819614›Full record

ArticleScientific reports2021

Development of an advanced flow cytometry based high-resolution immunophenotyping method to benchmark early immune response in dairy cows.

Sabine Farschtschi, Martin Mattes, Alex Hildebrandt, Dapi Chiang, Benedikt Kirchner, Heike Kliem, Michael W Pfaffl

Open access · goldAbstract readComparative Study
In one paragraph

Article in Scientific reports, 2021. 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
2.7field-weighted citation impact, top 10% 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, 12 citations in OpenAlex.

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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

7 authors at 1 institution in 1 country.

Sabine FarschtschiDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany. sabine.farschtschi@wzw.tum.de.
Martin MattesDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Alex HildebrandtDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Dapi ChiangDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Benedikt KirchnerDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Heike KliemTUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Michael W PfafflDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
Technical University of Munich · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The determination of the somatic cell count of a milk sample is one of the most common methods to monitor udder health of a dairy cow. However, this procedure does not take into account the fact that cells in milk present a great variety of different cell types. The objective of our study was to establish a high-resolution differential cell count (HRDCC) by means of flow cytometry in blood and milk. We were able to detect ten subpopulations among the three main populations of immune cells and to determine their viability. Additionally, blood samples were analyzed for common laboratory biomarkers, i.e. differential blood counts, haptoglobin levels and several metabolic parameters. In this first feasibility study, we used three different vaccines to stimulate the immune system of five healthy cows each. Samples were collected shortly before, in between and after the vaccinations. Using multivariate statistical methods we saw a diagnostic benefit when HRDCCs were included compared to only the standard laboratory parameters. The impacts of all three vaccinations on the immune system were visible in blood HRDCCs as well as in milk HRDCCs. Cluster of Differentiation 8

Indexed as

DairyingAnimalsB-LymphocytesCattleCD8-Positive T-LymphocytesFemaleFlow CytometryImmunophenotypingMacrophagesMammary Glands, AnimalMilkMonocytesVaccinationVaccinesVaccines

Identifiers

PMID34819614
PMCPMC8613216
OpenAlexW3217749289

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.