Project description:Negative energy balance (NEB) is an altered metabolic state in high yielding cows that occurs during the first few weeks postpartum when energy demands for lactation and maintenance exceed the energy supply from dietary intake. NEB can, in turn, lead to metabolic disorders and to reduced fertility. Alterations in the expression of more than 700 hepatic genes have previously been reported in a study of NEB in postpartum dairy cows. miRNAs (microRNA) are known to mediate many alterations in gene expression post transcriptionally. To study the hepatic miRNA content of postpartum dairy cows, including their overall abundance and differential expression, in mild NEB (MNEB) and severe NEB (SNEB) short read RNA sequencing was carried out.
Project description:High yielding dairy cattle undergo a state of NEB (negative energy balance) during the post-partum period when energy demand for lactation and maintenance exceeds energy intake. During this period in order to counteract NEB the liver under goes extensive metabolic and physiological change resulting in alteration in hepatic genes and miRNAs expression. We used Affymetrix Multispecies miRNA-2_0 Array with miRBase version 15 coverage to assess the liver miRNA expression in SNEB (severe NEB) and MNEB (mild NEB) Holstein Friesian cattle during the post-partum period.
Project description:This article contains raw and processed data related to research published by Swartz et al. [1]. Proteomics data from liver of postpartum dairy cows were obtained by liquid chromatography-mass spectrometry following protein extraction. Differential abundance between liver of cows experiencing either negative energy balance (NEB, n=6) or positive energy balance (PEB, n=4) at 17±3 DIM was quantified using MS1 intensity based label-free. There is a paucity of studies examining the associations of NEB with the liver proteome in early lactation dairy cows. Therefore, our objective was to characterize the differences in the liver proteome in periparturient dairy cows experiencing naturally occurring NEB compared to cows in PEB. In this study, multiparous Holstein dairy cows were milked either 2 or 3 times daily for the first 30 days in milk (DIM) to alter energy balance, and were classified retrospectively as NEB (n=18) or PEB (n=22). Liver biopsies were collected from 10 cows (n=5 from each milking frequency), that were retrospectively classified according to their energy balance (NEB, n=6; PEB, n=4). The liver proteome was characterized using label-free quantitative shotgun proteomics. This novel dataset contains 2,741 proteins were identified, and 68 of those were differentially abundant between NEB and PEB (P≤0.05 and FC±1.5); these findings are discussed in our recent research article [1]. The present dataset of liver proteome can be used as either biological markers for disease or therapeutic targets to improve metabolic adaptations to lactation in postpartum dairy cattle.
Project description:Dairy cows can suffer from a negative energy balance (NEB) during their transition from dry period to early lactation when feed intake does not sufficiently meet the energy requirements for body maintenance and homeostasis. The subsequent metabolic changes can increase the risk of postpartum diseases such as clinical ketosis, mastitis and fatty liver. Zeolite clinoptilolite (CPL), due to its ion-exchange property, has been often used to treat NEB and other disorders such as rumen digestion in animals in farming. However, limited information is available on the dynamics of global metabolomics and proteomic profiles in serum that could give us a better understanding on the associated altered biological pathways in response to CPL. Thus, in the present study, a total 64 cows randomly assigned to two groups: control (n=32) and CPL-treated (n=32) at time points of 30 days (n=8) and 10 days (n=8) prepartum stage and 5 days (n=8) and 26 (n=8) days postpartum stage. Labelled proteomics and untargeted metabolomics were performed following the determination of β-hydroxy-butyric acid (BHB) concentration in the samples indicating NEB. A total of 64 proteins were differentially expressed with a significant cohort appearing to play key roles in restoring the EB after CPL supplementation. In addition, 21 differentially expressed metabolites were chosen of 83 identified metabolites based on their high correlation with BHB. Joint pathway and interaction analysis revealed cross-talks among potential candidates such as valproic acid, leucic acid, glycerol, fibronectin and kinninogen-1 which could be responsible for restoring associated complications of NEB such as infertility or infection like mastitis. By using global proteomics and metabolomics strategy, the present study concluded that the CPL supplementation could lower NEB and restore energy balance in just a few weeks and explained the possible underlying pathways employed by the CPL.