Identification of large offspring syndrome during pregnancy through ultrasonography and maternal blood transcriptome analyses

In vitro production (IVP) of embryos in cattle can result in large/abnormal offspring syndrome (LOS/AOS) which is characterized by macrosomia. LOS can cause dystocia and lead to the death of dam and calf. Currently, no test exists to identify LOS pregnancies. We hypothesized that fetal ultrasonography and/or maternal blood markers are useful to identify LOS. Bovine fetuses were generated by artificial insemination (control) or IVP. Fetal ultrasonographies were taken on gestation D55 (D55) and fetal collections performed on D56 or D105 (gestation in cattle ≈ D280). IVP fetuses weighing ≥ 97 percentile of the control weight were considered LOS. Ultrasonography results show that the product of six D55 measurements can be used to identify extreme cases of LOS. To determine whether maternal blood can be used to identify LOS, leukocyte mRNA from 23 females was sequenced. Unsupervised hierarchical clustering grouped the transcriptomes of the two females carrying the two largest LOS fetuses. Comparison of the leukocyte transcriptomes of these two females to the transcriptome of all other females identified several misregulated transcripts on gestation D55 and D105 with LOC783838 and PCDH1 being misregulated at both time-points. Together our data suggest that LOS is identifiable during pregnancy in cattle. ; Fil: Rivera, Rocío Melissa. University of Missouri; Estados Unidos ; Fil: Goldkamp, Anna Katherine. Oklahoma State University; Estados Unidos ; Fil: Patel, Bhaumik Narendrabhai. University of Missouri; Estados Unidos ; Fil: Hagen, Darren Erich. Oklahoma State University; Estados Unidos ; Fil: Soto Moreno, Edgar Joel. University of Missouri; Estados Unidos ; Fil: Li, Yahan. University of Missouri; Estados Unidos ; Fil: Kim, Chris Nayoon. University of Missouri; Estados Unidos ; Fil: Miller, Cliff. Green Hills Veterinary Clinic; Estados Unidos ; Fil: Williams, Fred. University of Missouri; Estados Unidos ; Fil: Jannaman, Elizabeth. University of Florida; Estados Unidos ; Fil: Xiao, Yao. University of Florida; Estados ...