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Body condition alters lipidomic profiles in subcutaneous adipose tissue of Holstein cows during the periparturient period.

Y. Liang

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06-23-2020

Abstract:

207
Body condition alters lipidomic profiles in subcutaneous adipose tissue of Holstein cows during the periparturient period.
Y. Liang*1, A. Elomily2, K. Wilachai3, A. Alharthi4, V. Lopreiato5, R. Bucktrout1, I. Martinez-Cort�s6, J. J. Loor1. 1Department of Animal Sciences and Division of Nutritional Sciences, University of Illinois, Urbana Urbana, IL, 2Department of Pediatrics, University of Arkansas for Medical Sciences Little Rock, AR, 3Program of Animal Science, Faculty of Agricultural of Technology, Rajabhat Maha Sarakham University Thailand, 4Animal Production Department, King Saud University Kingdom of Saudi Arabia, 5Department of Animal Sciences, Food and Nutrition, Faculty of Agriculture, Food and Environmental Science, Universita` Cattolica del Sacro Cuore Piacenza, Italy, 6Agricultural and Animal Production Department, UAM-Xochimilco Mexico City, Mexico.

The periparturient period is characterized by excessive adipose tissue (AT) lipid mobilization and increased incidence of metabolic disorders in dairy cows. The aim of this study was to characterize the lipid profiles in s.c. adipose tissue (SAT) between peripartal cows with different prepartal body condition score (HBCS vs. LBCS). SAT from a subset of 10 healthy multiparous Holstein cows from a larger cohort classified as low BCS (LBCS; 3.0 ≤ BCS < 3.25; n = 5) or high BCS (HBCS; 3.5 ≤ BCS ≤ 4.0; n = 5) at 4 wk prepartum were used. Biopsies obtained on d −15, 7, and 30 relative to parturition were used for lipidomic analysis via liquid chromatography and tandem mass spectrometry. The multivariate statistical analysis of the lipidomic data was performed with the web-based metabolomic data processing tool MetaboAnalyst 4.0. Briefly, as quality control, variables containing more than 50% missing values were not considered for the statistical analysis. The raw data were transformed using the generalized log-transformation and then Pareto scaled to correct for heteroscedasticity. According to the VIP scores using the plots of partial least squares discriminant analysis (PLS-DA) model, there were 15 metabolites with a VIP > 2. Ceramide (d18:1/32:2) and diglyceride (DG) (18:0/22:4) were less abundant in HBCS cows; while those cows had greater triglycerides (TG) (4:0/14:1/16:1; 49:2). Analysis of variance-simultaneous component analysis was performed to ascertain variation in lipid profiles between groups, time and their interaction using MetaboAnalyst 4.0. Sixteen metabolites including 3 ceramides (d18:1/32:2; d50:4; d18:1/18:0), 2 ω-hydroxy fatty acids, 8 DG and 3 TG increased after calving and reached their peaks at d7 postpartum; in contrast, phosphatidylcholine (39:3) decreased after parturition. Time-course profiles of the top 50 lipid species including TG, PC, DG, phosphatidylglycerol, phosphatidylserine, phosphatidylethanolamine, lysophosphatidylethanolamine, lysophosphatidylcholine, and sphingomyelin were identified by a multivariate empirical Bayes approach (MEBA). Triglyceride (15:0/14:0/14:0) had the highest statistical value. Overall, the data indicated that BCS is associated with unique lipid profiles in dairy cow SAT during the peripartal period. Further studies are needed to understand the physiological relevance of these differences.

Keywords: body condition score, lipidomics, adipose tissue.

Biography: I am Yusheng Liang, a third year PhD student of animal sciences from University of Illinois.