ReviewAnimals : an open access journal from MDPI2024
Overview of Bovine Mastitis: Application of Metabolomics in Screening Its Predictive and Diagnostic Biomarkers.
Review in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- NMR Metabolomics in Veterinary Medicine: From Biomarker Discovery to Clinical Implementation.Veterinary sciences · 2026Review
- A Biological Transition Around 200 × 10International journal of molecular sciences · 2026Article
- Delayed ovulation in cattle: Physiological mechanisms, diagnostic approaches, and reproductive management strategies.Veterinary world · 2026Article
- Transfer factor alleviates bovine mastitis and protects mammary epithelial barrier via the TAK1/NF-κB/MLCK signaling axis.Journal of animal science · 2026Article
- Exploring Milk and Blood Biochemical Indicators as Potential Biomarkers of Udder Health in Early Lactation Cows.Veterinary sciences · 2025Article
- Applications of metabolomics in cow health assessment.Metabolomics : Official journal of the Metabolomic Society · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bovine mastitis is an inflammatory disease of the mammary glands, and its pathogenesis and diagnosis are complicated. Through qualitative and quantitative analysis of small-molecule metabolites, the metabolomics technique plays an important role in finding biomarkers and studying the metabolic mechanism of bovine mastitis. Therefore, this paper reviews the predictive and diagnostic biomarkers of bovine mastitis that have been identified using metabolomics techniques and that are present in samples such as milk, blood, urine, rumen fluid, feces, and mammary tissue. In addition, the metabolic pathways of mastitis-related biomarkers in milk and blood were analyzed; it was found that the tricarboxylic acid (TCA) cycle was the most significant (FDR = 0.0015767) pathway in milk fluid, and glyoxylate and dicarboxylate metabolism was the most significant (FDR = 0.0081994) pathway in blood. The purpose of this review is to provide useful information for the prediction and early diagnosis of bovine mastitis.
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Registered trials
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