Literature DB >> 32505406

ADSA Foundation Scholar Award: Influencing hepatic metabolism: Can nutrient partitioning be modulated to optimize metabolic health in the transition dairy cow?

H M White1.   

Abstract

Hepatic de novo production of glucose and oxidation of fatty acids are critical in supporting milk production during the transition to lactation period. During this period of metabolic challenge, there is an increase in fatty acids taken up by the liver. Although the primary fate for these fatty acids is complete oxidation, alternative fates include incomplete oxidation via ketogenesis, storage within the liver as triglycerides (TG), and secretion of TG within very low density lipoproteins. Influencing the relative capacity of these pathways, and thus shifting nutrient partitioning, may allow for improved hepatic efficiency and metabolic health. Hepatic nutrient partitioning reflects complex regulation of key metabolic pathways by factors such as fatty acids and other substrates. Relative flux of fatty acid through oxidation or re-esterification to TG leads to the onset of metabolic disorders that are associated with negative production outcomes, such as hyperketonemia and fatty liver. Although recent work has focused on understanding how stored TG are lipolyzed for subsequent oxidation, the mechanism and regulation of this remains unclear. The source of mobilized fatty acids is similarly important, both in terms of amount and profile of fatty acids mobilized. There is likely a complex, coordinated whole-body response, given that fatty acids mobilized from adipose tissue affect hepatic regulation. Fatty acids mobilized from adipose tissue have regulatory effects on genes such as pyruvate carboxylase; however, in vivo work suggests there may also be other influences resulting in differential regulation between cows that subsequently develop sub-clinical ketosis and those that do not. Optimizing nutrient partitioning between critical metabolic pathways may allow for nutritional opportunities to reduce incidence of metabolic challenges and improve feed efficiency. Although further research is needed to continue refining our understanding of the intricate balance regulating hepatic metabolism, shifting nutrient partitioning may be key in supporting both efficiency and metabolic health.
Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  fatty acids; gluconeogenesis; negative energy balance; oxidation

Year:  2020        PMID: 32505406     DOI: 10.3168/jds.2019-18119

Source DB:  PubMed          Journal:  J Dairy Sci        ISSN: 0022-0302            Impact factor:   4.034


  5 in total

1.  Hyperketonemia Predictions Provide an On-Farm Management Tool with Epidemiological Insights.

Authors:  Ryan S Pralle; Joel D Amdall; Robert H Fourdraine; Garrett R Oetzel; Heather M White
Journal:  Animals (Basel)       Date:  2021-04-30       Impact factor: 2.752

2.  Greater liver PNPLA3 protein abundance in vivo and in vitro supports lower triglyceride accumulation in dairy cows.

Authors:  Ryan S Pralle; Sophia J Erb; Henry T Holdorf; Heather M White
Journal:  Sci Rep       Date:  2021-02-02       Impact factor: 4.379

3.  Prediction of Liver Triglyceride Content in Early Lactation Multiparous Holstein Cows Using Blood Metabolite, Mineral, and Protein Biomarker Concentrations.

Authors:  Ryan S Pralle; Henry T Holdorf; Rafael Caputo Oliveira; Claira R Seely; Sophia J Kendall; Heather M White
Journal:  Animals (Basel)       Date:  2022-09-24       Impact factor: 3.231

4.  Assessment of the Relationship between Postpartum Health and Mid-Lactation Performance, Behavior, and Feed Efficiency in Holstein Dairy Cows.

Authors:  Malia J Martin; Kent A Weigel; Heather M White
Journal:  Animals (Basel)       Date:  2021-05-13       Impact factor: 2.752

5.  Responsiveness of PNPLA3 and lipid-related transcription factors is dependent upon fatty acid profile in primary bovine hepatocytes.

Authors:  Sophia J Erb; Tawny L Chandler; Heather M White
Journal:  Sci Rep       Date:  2022-01-18       Impact factor: 4.379

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.