ArticleMolecular bioSystems2016
Mastitomics, the integrated omics of bovine milk in an experimental model of Streptococcus uberis mastitis: 2. Label-free relative quantitative proteomics.
Article in Molecular bioSystems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 66 citations in OpenAlex.
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
- Comprehensive evaluation of milk biomarkers as indicators of intramammary infection in dairy goats across lactation.Scientific reports · 2026Article
- Alterations in Whey Protein Abundance Correlated with the Somatic Cell Count Identified via Label-Free and Selected Reaction Monitoring Proteomic Approaches.Animals : an open access journal from MDPI · 2025Article
- Inflamatory Markers in Cows Affected by Subclinical Mastitis Due ToArchives of Razi Institute · 2024Article
- Colostrum-derived extracellular vesicles: potential multifunctional nanomedicine for alleviating mastitis.Journal of nanobiotechnology · 2024Article
- Impact of a teat disinfectant based on Lactococcus cremoris on the cow milk proteome.BMC veterinary research · 2024Article
- Overview of Bovine Mastitis: Application of Metabolomics in Screening Its Predictive and Diagnostic Biomarkers.Animals : an open access journal from MDPI · 2024Review
- Biomarkers for subclinical bovine mastitis: a high throughput TMT-based proteomic investigation.Veterinary research communications · 2024Article
- Different Immune Control of Gram-Positive and Gram-Negative Mammary Infections in Dairy Cows.Veterinary sciences · 2024Article
- Microbiome and metabolome analyses of milk and feces from dairy cows with healthy, subclinical, and clinical mastitis.Frontiers in microbiology · 2024Article
- Transcriptome-wide mapping of milk somatic cells upon subclinical mastitis infection in dairy cattle.Journal of animal science and biotechnology · 2023Article
- Immunological and Oxidative Biomarkers in Bovine Serum from Healthy, Clinical, and Sub-Clinical Mastitis Caused byAnimals : an open access journal from MDPI · 2023Article
- Diagnostic Screening of Bovine Mastitis Using MALDI-TOF MS Direct-Spotting of Milk and Machine Learning.Veterinary sciences · 2023Article
- The Future of Biomarkers in Veterinary Medicine: Emerging Approaches and Associated Challenges.Animals : an open access journal from MDPI · 2022Review
- Review
- The Analysis of the Ubiquitylomic Responses toJournal of inflammation research · 2022Article
- Comparative Structural and Compositional Analyses of Cow, Buffalo, Goat and Sheep Cream.Foods (Basel, Switzerland) · 2021Article
- Article
- A Paradox in Bacterial Pathogenesis: Activation of the Local Macrophage Inflammasome Is Required for Virulence ofPathogens (Basel, Switzerland) · 2020Article
- Novel Biomarkers of Mastitis in Goat Milk Revealed by MALDI-TOF-MS-Based Peptide Profiling.Biology · 2020Article
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Authors and funding
11 authors at 5 institutions in 3 countries.
Funding
Abstract
Mastitis, inflammation of the mammary gland, is the most common and costly disease of dairy cattle in the western world. It is primarily caused by bacteria, with Streptococcus uberis as one of the most prevalent causative agents. To characterize the proteome during Streptococcus uberis mastitis, an experimentally induced model of intramammary infection was used. Milk whey samples obtained from 6 cows at 6 time points were processed using label-free relative quantitative proteomics. This proteomic analysis complements clinical, bacteriological and immunological studies as well as peptidomic and metabolomic analysis of the same challenge model. A total of 2552 non-redundant bovine peptides were identified, and from these, 570 bovine proteins were quantified. Hierarchical cluster analysis and principal component analysis showed clear clustering of results by stage of infection, with similarities between pre-infection and resolution stages (0 and 312 h post challenge), early infection stages (36 and 42 h post challenge) and late infection stages (57 and 81 h post challenge). Ingenuity pathway analysis identified upregulation of acute phase protein pathways over the course of infection, with dominance of different acute phase proteins at different time points based on differential expression analysis. Antimicrobial peptides, notably cathelicidins and peptidoglycan recognition protein, were upregulated at all time points post challenge and peaked at 57 h, which coincided with 10 000-fold decrease in average bacterial counts. The integration of clinical, bacteriological, immunological and quantitative proteomics and other-omic data provides a more detailed systems level view of the host response to mastitis than has been achieved previously.
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