Identification of predictive biomarkers of peri- and postpartum disorders in dairy cows
10.14405/kjvr.2019.59.1.1
- Author:
Jae Kwan JEONG
1
;
Tai Young HUR
;
Young Hun JUNG
;
Hyun Gu KANG
;
Ill Hwa KIM
Author Information
1. College of Veterinary Medicine, Chungbuk National University, Cheongju 28644, Korea. illhwa@cbu.ac.kr
- Publication Type:Original Article
- Keywords:
biomarkers;
body condition score;
dairy cow;
metabolite;
rectal temperature
- MeSH:
Alanine Transaminase;
Biomarkers;
Cholesterol;
Fatty Acids, Nonesterified;
Peripartum Period;
Postpartum Period
- From:Korean Journal of Veterinary Research
2019;59(1):1-8
- CountryRepublic of Korea
- Language:English
-
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.
