Korean J Vet Res.  2019 Mar;59(1):1-8. 10.14405/kjvr.2019.59.1.1.

Identification of predictive biomarkers of peri- and postpartum disorders in dairy cows

• Jeong JK
• Hur TY
• Jung YH
• Kang HG
• Kim IH

• KMID: 2448104
• DOI: http://doi.org/10.14405/kjvr.2019.59.1.1

Abstract

We aimed to identify predictive markers of peri- and postpartum disorders in dairy cows. Data regarding peri- and postpartum disorders, serum metabolites, body condition score (BCS), and rectal temperature, were collected from 227 dairy cows, which were allocated to healthy (n = 57) and diseased (n = 170) groups. Serum non-esterified fatty acid (NEFA) concentration was higher in diseased than healthy cows 4 weeks before (p < 0.01) and immediately after (p = 0.05) calving. Serum alanine aminotransferase (AST) activity was higher (p < 0.05) in diseased than healthy cows 1 and 2 weeks after calving, whereas total cholesterol (TCH) concentration was lower (p < 0.05-0.0001) in diseased cows 4 weeks before, and after calving. BCS was higher (p < 0.05) in diseased than healthy cows 4 weeks before calving, but lower (p < 0.01) in diseased cows 8 weeks after calving. Rectal temperature was higher (p < 0.05-0.01) in diseased than healthy cows between 2 and 14 days postpartum. In conclusion, high serum NEFA and AST concentrations and lower TCH concentration during the peripartum period, and high prepartum BCS and postpartum rectal temperature, could be used as biomarkers to predict the subsequent development of peri- and postpartum disorders.

Keyword

biomarkers; body condition score; dairy cow; metabolite; rectal temperature

MeSH Terms

Alanine Transaminase
Biomarkers*
Cholesterol
Fatty Acids, Nonesterified
Peripartum Period
Postpartum Period*
Alanine Transaminase
Biomarkers
Cholesterol
Fatty Acids, Nonesterified