<abstract xmlns="http://www.w3.org/1999/xhtml"><bold>Introduction:</bold> The predictive value of selected parameters in the risk of ketosis and fatty liver in dairy cows was determined.<bold>Material and Methods:</bold> In total, 21 control and 17 ketotic Holstein Friesian cows with a β-hydroxybutyrate (BHBA) concentration of 1.20 mmol/L as a cut-off point were selected. The risk prediction thresholds for ketosis were determined by receiver operating characteristic (ROC) curve analysis.<bold>Results:</bold> In the ketosis group, paraoxonase-1 (PON-1) activity and concentration of PON-1 and glucose (GLU) were decreased, and aminotransferase (AST) activity as well as BHBA and non-esterified fatty acid (NEFA) contents were increased. The plasma activity and concentration of PON-1 were significantly positively correlated with the level of plasma GLU. The plasma activity and concentration of PON-1 were significantly negatively correlated with the levels of AST and BHBA. According to ROC curve analysis, warning indexes of ketosis were: plasma PON-1 concentration of 46.79 nmol/L, GLU concentration of 3.04 mmol/L, AST concentration of 100 U/L, and NEFA concentration of 0.82 mmol/L.<bold>Conclusion:</bold> This study showed that the levels of PON-1, GLU, AST, and NEFA could be used as indicators to predict the risk of ketosis in dairy cows.</abstract>

Introduction: The predictive value of selected parameters in the risk of ketosis and fatty liver in dairy cows was determined.Material and Methods: In total, 21 control and 17 ketotic Holstein Friesian cows with a β-hydroxybutyrate (BHBA) concentration of 1.20 mmol/L as a cut-off point were selected. The risk prediction thresholds for ketosis were determined by receiver operating characteristic (ROC) curve analysis.Results: In the ketosis group, paraoxonase-1 (PON-1) activity and concentration of PON-1 and glucose (GLU) were decreased, and aminotransferase (AST) activity as well as BHBA and non-esterified fatty acid (NEFA) contents were increased. The plasma activity and concentration of PON-1 were significantly positively correlated with the level of plasma GLU. The plasma activity and concentration of PON-1 were significantly negatively correlated with the levels of AST and BHBA. According to ROC curve analysis, warning indexes of ketosis were: plasma PON-1 concentration of 46.79 nmol/L, GLU concentration of 3.04 mmol/L, AST concentration of 100 U/L, and NEFA concentration of 0.82 mmol/L.Conclusion: This study showed that the levels of PON-1, GLU, AST, and NEFA could be used as indicators to predict the risk of ketosis in dairy cows.

Predictive value of plasma parameters in the risk of postpartum ketosis in dairy cows

Department of College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319,

Journal of Veterinary Research

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Introduction: The predictive value of selected parameters in the risk of ketosis and fatty liver in dairy cows was determined.Material and Methods: In total,...

Predictive value of plasma parameters in the risk of postpartum ketosis in dairy cows

Data publikacji: 04 kwi 2017

Zakres stron: 91 - 95

Otrzymano: 13 cze 2016

Przyjęty: 06 mar 2017

DOI: https://doi.org/10.1515/jvetres-2017-0011

Słowa kluczowe
dairy cow, ketosis, plasma parameters, predictive value

© 2017 Yu Cao et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Predictive value of plasma parameters in the risk of postpartum ketosis in dairy cows

Data publikacji: 04 kwi 2017

Zakres stron: 91 - 95

Otrzymano: 13 cze 2016

Przyjęty: 06 mar 2017

DOI: https://doi.org/10.1515/jvetres-2017-0011

Słowa kluczowedairy cow, ketosis, plasma parameters, predictive value

© 2017 Yu Cao et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Słowa kluczowe
dairy cow, ketosis, plasma parameters, predictive value