Lipidomic Biomarkers for Predicting Metabolic Diseases in Dairy Cows ID: 2015-054
This study identifies lipidomic biomarkers in colostrum and milk that can predict susceptibility to production-related metabolic diseases in dairy cows.
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Technology Overview
The research details a lipidomic analysis aimed at finding biomarkers in colostrum and milk for early detection of metabolic diseases in dairy cows, using mass spectrometry to profile lipids in Holstein cows. It successfully identified lipid profiles that correlate with the health status of cows regarding production-related metabolic diseases (PRMDs) such as milk fever, fatty liver, ketosis, and displaced abomasum.
Key Advantages
- Enables early detection of susceptibility to PRMDs in dairy cows
- Improves herd management and economic returns by mitigating losses due to PRMDs
- Offers high sensitivity and specificity in predicting disease susceptibility
- Supports the development of targeted interventions to prevent PRMDs
Problems Addressed
- Economic losses caused by PRMDs in dairy cows
- Lack of effective early detection methods for PRMD susceptibility
- Inadequate management practices to fully mitigate PRMDs
Market Applications
- Veterinary diagnostics for dairy herd management
- Development of nutritional or pharmaceutical interventions based on lipidomic profiles
- Enhancement of selective breeding programs to improve herd resistance to PRMDs
Additional Information
Technology ID: 2015-054
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Date Published: 28 March, 2025
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