Literature DB >> 19240300

Proteome analysis of fatty liver in feed-deprived dairy cows reveals interaction of fuel sensing, calcium, fatty acid, and glycogen metabolism.

Björn Kuhla1, Dirk Albrecht, Siegfried Kuhla, Cornelia C Metges.   

Abstract

The liver of dairy cows is involved in signaling the current hepatic metabolic state to the brain via metabolites and nerval afferents to control and adjust feed intake. Feed deprivation may result in mobilization of body reserves favoring hepatic steatosis. While the overall metabolic changes are well characterized, specific regulatory mechanisms are not readily understood. To identify molecular events associated with metabolic adaptation and the control of energy homeostasis, liver specimens from six ad libitum-fed and six feed-deprived cows were analyzed for selected metabolites, for the activation of AMP kinase, and for regulatory/regulated proteins using two-dimensional gel electrophoresis and MALDI-TOF-MS. Feed deprivation increased total liver fat and the calcium content, as well as augmented AMPK phosphorylation, while it decreased the contents of protein, glucose, glycogen, and cholesterol when expressed as a percentage of dry matter. Among 34 differentially expressed proteins identified, we found downregulation of proteins associated with fatty acid oxidation, glycolysis, electron transfer, protein degradation, and antigen processing, as well as cytoskeletal rearrangement. Proteins upregulated after feed deprivation included enzymes of the urea cycle, fatty acid or cholesterol transport proteins, an inhibitor of glycolysis, and previously unknown changes in calcium signaling network. Direct correlation was found between expression of glycolytic enzymes and glucose/glycogen content, whereas inverse correlation exists between expression of beta-oxidative enzymes and total liver fat content. In conclusion, the regulatory response of identified proteins may help to explain development and consequences of hepatic lipidosis but also offers novel candidates potentially involved in signaling for maintaining energy homeostasis.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19240300     DOI: 10.1152/physiolgenomics.90381.2008

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  7 in total

1.  Hepatic urea, creatinine and uric acid metabolism in dairy cows with divergent milk urea concentrations.

Authors:  Marie C Prahl; Carolin B M Müller; Dirk Albrecht; Franziska Koch; Klaus Wimmers; Björn Kuhla
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

2.  Metabolomics Reveals the Effects of High Dietary Energy Density on the Metabolism of Transition Angus Cows.

Authors:  Hao Chen; Chunjie Wang; Simujide Huasai; Aorigele Chen
Journal:  Animals (Basel)       Date:  2022-04-29       Impact factor: 3.231

3.  Interaction of C/EBP-beta and NF-Y factors constrains activity levels of the nutritionally controlled promoter IA expressing the acetyl-CoA carboxylase-alpha gene in cattle.

Authors:  Xuanming Shi; Cornelia C Metges; Hans-Martin Seyfert
Journal:  BMC Mol Biol       Date:  2012-06-27       Impact factor: 2.946

4.  Negative energy balance and hepatic gene expression patterns in high-yielding dairy cows during the early postpartum period: a global approach.

Authors:  S D McCarthy; S M Waters; D A Kenny; M G Diskin; R Fitzpatrick; J Patton; D C Wathes; D G Morris
Journal:  Physiol Genomics       Date:  2010-08-17       Impact factor: 3.107

5.  Global liver gene expression differences in Nelore steers with divergent residual feed intake phenotypes.

Authors:  Polyana C Tizioto; Luiz L Coutinho; Jared E Decker; Robert D Schnabel; Kamila O Rosa; Priscila S N Oliveira; Marcela M Souza; Gerson B Mourão; Rymer R Tullio; Amália S Chaves; Dante P D Lanna; Adhemar Zerlotini-Neto; Mauricio A Mudadu; Jeremy F Taylor; Luciana C A Regitano
Journal:  BMC Genomics       Date:  2015-03-25       Impact factor: 3.969

Review 6.  Animal board invited review: advances in proteomics for animal and food sciences.

Authors:  A M Almeida; A Bassols; E Bendixen; M Bhide; F Ceciliani; S Cristobal; P D Eckersall; K Hollung; F Lisacek; G Mazzucchelli; M McLaughlin; I Miller; J E Nally; J Plowman; J Renaut; P Rodrigues; P Roncada; J Staric; R Turk
Journal:  Animal       Date:  2014-10-31       Impact factor: 3.240

7.  Hepatic metabolomics and transcriptomics to study susceptibility to ketosis in response to prepartal nutritional management.

Authors:  Khuram Shahzad; Vincenzo Lopreiato; Yusheng Liang; Erminio Trevisi; Johan S Osorio; Chuang Xu; Juan J Loor
Journal:  J Anim Sci Biotechnol       Date:  2019-12-18
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.