Evidence map›Paper›PMID 29655560›Full record

ArticleJournal of dairy science2018

Selected reaction monitoring mass spectrometry of mastitis milk reveals pathogen-specific regulation of bovine host response proteins.

Ulrike Kusebauch, Lorenzo E Hernández-Castellano, Stine L Bislev, Robert L Moritz, Christine M Røntved, Emøke Bendixen

Open access · bronzeAbstract read
In one paragraph

Article in Journal of dairy science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
6.2field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

  1. Pooled it
  2. AData in brief · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Subclinical Mastitis fromJournal of agricultural and food chemistry · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. 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

6 authors at 2 institutions in 2 countries.

Ulrike KusebauchInstitute for Systems Biology, Seattle, WA 98109.
Lorenzo E Hernández-CastellanoDepartment of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark; Department of Animal Science, Aarhus University, 8830 Tjele, Denmark.
Stine L BislevDepartment of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark; Department of Animal Science, Aarhus University, 8830 Tjele, Denmark.
Robert L MoritzInstitute for Systems Biology, Seattle, WA 98109.
Christine M RøntvedDepartment of Animal Science, Aarhus University, 8830 Tjele, Denmark.
Emøke BendixenDepartment of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark; Department of Animal Science, Aarhus University, 8830 Tjele, Denmark. Electronic address: ebx@mbg.au.dk.
Aarhus University · DKInstitute for Systems Biology · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI BALIGA, NITIN S · 2006 to 2016
$30.6M
Shortening the development cycle time of Trans Proteomic Pipeline tools with high performance computingR01GM087221 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DEUTSCH, ERIC, MORITZ, ROBERT L · 2010 to 2021
$6.0M
Complete Human Peptide- and MRM-AtlasRC2HG005805 · NHGRI · INSTITUTE FOR SYSTEMS BIOLOGY · PI HOOD, LEROY E, MORITZ, ROBERT L · 2009 to 2010
$4.6M
NHGRI NIH HHS RC2 HG005805NIGMS NIH HHS P50 GM076547NIGMS NIH HHS R01 GM087221
6 · The paper itself

Abstract

Mastitis is a major challenge to bovine health. The detection of sensitive markers for mastitis in dairy herds is of great demand. Suitable biomarkers should be measurable in milk and should report pathogen-specific changes at an early stage to support earlier diagnosis and more efficient treatment. However, the identification of sensitive biomarkers in milk has remained a challenge, in part due to their relatively low concentration in milk. In the present study, we used a selected reaction monitoring (SRM) mass spectrometry approach, which allowed the absolute quantitation of 13 host response proteins in milk for the first time. These proteins were measured over a 54-h period upon an in vivo challenge with cell wall components from either gram-negative (lipopolysaccharide from Escherichia coli; LPS) or gram-positive bacteria (peptidoglycan from Staphylococcus aureus; PGN). Whereas our data clearly demonstrate that all challenged animals have consistent upregulation of innate immune response proteins after both LPS and PGN challenge, the data also reveal clearly that LPS challenge unleashes faster and shows a more intense host response compared with PGN challenge. Biomarker candidates that may distinguish between gram-negative and gram-positive bacteria include α-2 macroglobulin, α-1 antitrypsin, haptoglobin, serum amyloid A3, cluster of differentiation 14, calgranulin B, cathepsin C, vanin-1, galectin 1, galectin 3, and IL-8. Our approach can support further studies of large cohorts of animals with natural occurring mastitis, to validate the relevance of these suggested biomarkers in dairy production.

Indexed as

Immunity, InnateAcute-Phase ProteinsAnimalsBiomarkersCarrier ProteinsCattleFemaleLipopolysaccharide-Binding ProteinMammary Glands, AnimalMass SpectrometryMastitis, BovineMembrane GlycoproteinsMilkStaphylococcus aureusAcute-Phase ProteinsBiomarkersCarrier ProteinsLipopolysaccharide-Binding ProteinMembrane Glycoproteinshost response proteinslipopolysaccharidemastitispeptidoglycanselected reaction monitoring

Identifiers

PMID29655560
PMCPMC6502260
OpenAlexW2797786465

What OpenQuestion holds

Textmetadata
LicenceTDM
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.