Symposium review: Predicting pregnancy loss in dairy cattle

J Dairy Sci. 2019 Dec;102(12):11798-11804. doi: 10.3168/jds.2019-17176. Epub 2019 Oct 3.

Abstract

Several tools exist to diagnose pregnancy in dairy cattle. However, substantial pregnancy loss occurs within the first 60 d of gestation in cattle, and these losses have a profound adverse economic impact on the dairy and beef cattle industries. Detecting these impending pregnancy losses could offer producers an opportunity to reduce costs associated with this source of reproductive inefficiency. Several of the pregnancy diagnostic tools currently available and new technologies are being examined for their ability to predict pregnancies at risk for failing in early pregnancy. This review provides a synopsis of work undertaken recently to predict pregnancy losses in cattle. Currently, opportunities to predict pregnancy loss include (1) using transrectal ultrasonography to detect loss of the fetal heartbeat, floating debris within the placental fluids, and reductions in fetal size; (2) observing reductions in circulating progesterone concentrations; (3) detecting reductions in concentrations of circulating placental products; namely, pregnancy-associated glycoproteins and microRNAs; and (4) detecting reductions in the early pregnancy-dependent increase in interferon-stimulatory gene expression in peripheral blood leukocytes. An achievable goal may be to identify markers of embryo mortality so that researchers and clinicians can focus their efforts on developing intervention strategies for cows identified to be at risk for pregnancy failure.

Keywords: embryo; embryonic loss; placenta; pregnancy.

Publication types

  • Review

MeSH terms

  • Abortion, Veterinary / diagnosis*
  • Animals
  • Cattle
  • Cattle Diseases / diagnosis*
  • Female
  • Glycoproteins / blood
  • Leukocytes / metabolism
  • MicroRNAs / metabolism*
  • Placenta / metabolism
  • Pregnancy
  • Pregnancy Proteins / blood*
  • Progesterone / blood*
  • Risk
  • Ultrasonography

Substances

  • Glycoproteins
  • MicroRNAs
  • Pregnancy Proteins
  • Progesterone