Evidence map›Paper›PMID 35681803›Full record

ArticleAnimals : an open access journal from MDPI2022

Using High-Resolution Differential Cell Counts (HRDCCs) in Bovine Milk and Blood to Monitor the Immune Status over the Entire Lactation Period.

Sabine Farschtschi, Alex Hildebrandt, Martin Mattes, Benedikt Kirchner, Michael W Pfaffl

Open access · goldAbstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

5 authors at 1 institution in 1 country.

Sabine FarschtschiDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0002-5309-6136
Alex HildebrandtDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.
Martin MattesDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.
Benedikt KirchnerDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.
Michael W PfafflDivision of Animal Physiology and Immunology, TUM School of Life Sciences, Technical University of Munich, 85354 Freising, Germany.ORCID 0000-0002-3192-1019
Technical University of Munich · DE

Funding

VFMF Association (Vereinigung zur Förderung der Milchwissenschaftlichen Forschung an der Technischen Universität München e. V., Freising, Germany) na
6 · The paper itself

Abstract

Differential cell counts in milk offer a deeper insight into the immunology of the mammary gland and might even provide information about the systemic health status of a dairy cow. Consequently, their potential as a diagnostic method to identify biomarkers has been a subject of research for quite some time. The objective of our study was to closely monitor the immune status of eight healthy dairy cows throughout their whole lactation. For this, high-resolution differential cell counts in milk and blood were determined by means of flow cytometry, which included 10 subpopulations of the 3 main populations of immune cells and their viability. Milk and blood samples were taken twice a week in the first 100 days after calving and once a week during the remaining lactation period: in total, 55 (52-57) blood and 55 (52-57) milk samples per animal. In addition, six well-established routine laboratory biomarkers, i.e., haptoglobin, calcium, and different metabolic parameters (non-esterified fatty acids, β-hydroxybutyric acid, bilirubin, and glutamate dehydrogenase), were analyzed in all blood samples. Furthermore, a standard differential blood cell count was performed on all blood samples. We found substantial differences between cell count progressions in the blood and milk. The distribution of cell populations in the blood remained mostly stable throughout the lactation, albeit at different individual levels. Several cell populations in the milk showed a noticeable dynamic over time, which caused a separation of different lactation stages in clustering analyses. Gamma delta T cells and CD4

Indexed as

dairy cowdifferential cell countdifferential leukocyte countimmunomonitoringimmunophenotypingsomatic cell countudder health

Identifiers

PMID35681803
PMCPMC9179238
OpenAlexW4281482232

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.