Literature DB >> 25568361

Pertinent plasma indicators of the ability of chickens to synthesize and store lipids.

E Baéza1, M Jégou2, F Gondret2, J Lalande-Martin3, I Tea3, E Le Bihan-Duval4, C Berri4, A Collin4, S Métayer-Coustard4, I Louveau2, S Lagarrigue2, M J Duclos4.   

Abstract

Excessive deposition of body fat is detrimental to production efficiency. The aim of this study was to provide plasma indicators of chickens' ability to store fat. From 3 to 9 wk of age, chickens from 2 experimental lines exhibiting a 2.5-fold difference in abdominal fat content and fed experimental diets with contrasted feed energy sources were compared. The diets contained 80 vs. 20 g of lipids and 379 vs. 514 g of starch per kg of feed, respectively, but had the same ME and total protein contents. Cellulose was used to dilute energy in the high-fat diet. At 9 wk of age, the body composition was analyzed and blood samples were collected. A metabolome-wide approach based on proton nuclear magnetic resonance spectroscopy was associated with conventional measurements of plasma parameters. A metabolomics approach showed that betaine, glutamine, and histidine were the most discriminating metabolites between groups. Betaine, uric acid, triglycerides, and phospholipids were positively correlated (r > 0.3; P < 0.05) and glutamine, histidine, triiodothyronine, homocysteine, and β-hydroxybutyrate were negatively correlated (r < -0.3; P < 0.05) with relative weight of abdominal fat and/or fat situated at the top of external face of the thigh. The combination of plasma free fatty acids, total cholesterol, phospholipid, β-hydroxybutyrate, glutamine, and methionine levels accounted for 74% of the variability of the relative weight of abdominal fat. On the other hand, the combination of plasma triglyceride and homocysteine levels accounted for 37% of the variability of fat situated at the top of external face of the thigh. The variations in plasma levels of betaine, homocysteine, uric acid, glutamine, and histidine suggest the implication of methyl donors in the control of hepatic lipid synthesis and illustrate the interplay between AA, glucose, and lipid metabolisms in growing chickens.

Entities:  

Keywords:  chicken; energy metabolism; fat deposition; lipids; plasma markers; starch

Mesh:

Substances:

Year:  2015        PMID: 25568361     DOI: 10.2527/jas.2014-8482

Source DB:  PubMed          Journal:  J Anim Sci        ISSN: 0021-8812            Impact factor:   3.159


  6 in total

1.  A Divergent Selection on Breast Meat Ultimate pH, a Key Factor for Chicken Meat Quality, is Associated With Different Circulating Lipid Profiles.

Authors:  Stéphane Beauclercq; Sandrine Mignon-Grasteau; Angélique Petit; Quentin Berger; Antoine Lefèvre; Sonia Métayer-Coustard; Sophie Tesseraud; Patrick Emond; Cécile Berri; Elisabeth Le Bihan-Duval
Journal:  Front Physiol       Date:  2022-06-22       Impact factor: 4.755

2.  Bisphenol S Alters the Steroidome in the Preovulatory Follicle, Oviduct Fluid and Plasma in Ewes With Contrasted Metabolic Status.

Authors:  Ophélie Téteau; Philippe Liere; Antoine Pianos; Alice Desmarchais; Olivier Lasserre; Pascal Papillier; Claire Vignault; Marie-Emilie Lebachelier de la Riviere; Virginie Maillard; Aurélien Binet; Svetlana Uzbekova; Marie Saint-Dizier; Sebastien Elis
Journal:  Front Endocrinol (Lausanne)       Date:  2022-05-24       Impact factor: 6.055

3.  Multi-tissue transcriptomic study reveals the main role of liver in the chicken adaptive response to a switch in dietary energy source through the transcriptional regulation of lipogenesis.

Authors:  C Desert; E Baéza; M Aite; M Boutin; A Le Cam; J Montfort; M Houee-Bigot; Y Blum; P F Roux; C Hennequet-Antier; C Berri; S Metayer-Coustard; A Collin; S Allais; E Le Bihan; D Causeur; F Gondret; M J Duclos; S Lagarrigue
Journal:  BMC Genomics       Date:  2018-03-07       Impact factor: 3.969

4.  Corticosterone-mediated physiological stress modulates hepatic lipid metabolism, metabolite profiles, and systemic responses in chickens.

Authors:  Sarah J M Zaytsoff; Catherine L J Brown; Tony Montina; Gerlinde A S Metz; D Wade Abbott; Richard R E Uwiera; G Douglas Inglis
Journal:  Sci Rep       Date:  2019-12-17       Impact factor: 4.379

5.  RNA-Seq Analysis of Abdominal Fat in Genetically Fat and Lean Chickens Highlights a Divergence in Expression of Genes Controlling Adiposity, Hemostasis, and Lipid Metabolism.

Authors:  Christopher W Resnyk; Chuming Chen; Hongzhan Huang; Cathy H Wu; Jean Simon; Elisabeth Le Bihan-Duval; Michel J Duclos; Larry A Cogburn
Journal:  PLoS One       Date:  2015-10-07       Impact factor: 3.240

6.  Effect of dietary arginine to lysine ratios on productive performance, meat quality, plasma and muscle metabolomics profile in fast-growing broiler chickens.

Authors:  Marco Zampiga; Luca Laghi; Massimiliano Petracci; Chenglin Zhu; Adele Meluzzi; Sami Dridi; Federico Sirri
Journal:  J Anim Sci Biotechnol       Date:  2018-11-08
  6 in total

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