Klein, Matthias S. and Buttchereit, Nina and Miemczyk, Sebastian P. and Immervoll, Ann-Kathrin and Louis, Caridad and Wiedemann, Steffi and Junge, Wolfgang and Thaller, Georg and Oefner, Peter J. and Gronwald, Wolfram (2012) NMR Metabolomic Analysis of Dairy Cows Reveals Milk Glycerophosphocholine to Phosphocholine Ratio as Prognostic Biomarker for Risk of Ketosis. JOURNAL OF PROTEOME RESEARCH, 11 (2). pp. 1373-1381. ISSN 1535-3893,
Full text not available from this repository. (Request a copy)Abstract
Ketosis is a common metabolic disease in dairy cows. Diagnostic markers for ketosis such as acetone and beta-hydroxybutyric acid (BHBA) are known, but disease prediction remains an unsolved challenge. Milk is a steadily available biofluid and routinely collected on a daily basis. This high availability makes milk superior to blood or urine samples for diagnostic purposes. In this contribution, we show that high milk glycerophosphocholine (GPC) levels and high ratios of GPC to phosphocholine (PC) allow for the reliable selection of healthy and metabolically stable cows for breeding purposes. Throughout lactation, high GPC values are connected with a low ketosis incidence. During the first month of lactation, molar GPC/PC ratios equal or greater than 2.5 indicate a very low risk for developing ketosis. This threshold was validated for different breeds (Holstein-Friesian, Brown Swiss, and Simmental Fleckvieh) and for animals in different lactations, with observed odds ratios between 1.5 and 2.38. In contrast to acetone and BHBA, these measures are independent of the acute disease status. A possible explanation for the predictive effect is that GPC and PC are measures for the ability to break down phospholipids as a fatty acid source to meet the enhanced energy requirements of early lactation.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | NUCLEAR-MAGNETIC-RESONANCE; DAILY ENERGY-BALANCE; CHOLINE PHOSPHOLIPID-METABOLISM; SUBCLINICAL KETOSIS; MASS-SPECTROMETRY; FEED-INTAKE; SPECTROSCOPY; LACTATION; HEALTH; CATTLE; metabolomics; NMR; phosphatidylcholine; production disease; prediction of disease status |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Institut für Funktionelle Genomik > Lehrstuhl für Funktionelle Genomik (Prof. Oefner) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 20 May 2020 04:50 |
| Last Modified: | 20 May 2020 04:50 |
| URI: | https://pred.uni-regensburg.de/id/eprint/19284 |
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