Literature DB >> 27065126

Metabolic response to an inflammatory challenge in pigs divergently selected for residual feed intake.

E Merlot, H Gilbert, N Le Floc'h.   

Abstract

Selection for residual feed intake (RFI), which is used to select animals for feed efficiency, also influences nutrient partitioning between growth and maintenance functions. This study was designed to investigate if selection for reduced RFI can alter the trade-off between growth and immunity and contributes to differences in metabolic responses to an inflammatory challenge. Piglets from 2 lines divergently selected on RFI (low: RFI, = 10, and high: RFI, = 11) were challenged at 55 d of age (on d 0) with complete Freund's adjuvant (CFA) to induce a noninfectious pneumonia. Plasma haptoglobin and nutrient concentrations (in fasted state and 2 h after feeding) were determined from d -1 to d 7, and tissue protein metabolism was determined on d 8. Haptoglobin concentrations were greater from d 1 to d 7 relative to d -1 ( < 0.01). Feed intake was less on d 1 than on the other days ( < 0.001), as was total AA plasma concentrations at fasted state ( < 0.05). Fasted concentrations of His ( = 0.06) and Trp ( = 0.05) tended to be less, those of Val were less ( < 0.05), and fed concentrations of Lys were increased ( < 0.05) on d 7 compared to d -1. Uremia was less on d 7 than on d -1 at fasted state ( < 0.05), whereas it did not vary at fed state ( 0.1). Fasted glucose and insulin plasma concentrations were stable across days ( 0.1). In the fed state and in only RFI pigs, glucose concentration was greater on d 1 than on d 3, 5, and 7 ( < 0.05). Total AA, Gln, Ile, Leu, Pro ( < 0.05), and hydroxyproline ( = 0.07) were less in RFI than RFI pigs at fed state, whereas Ala and Gly were less in RFI pigs at fasted and fed states ( < 0.05). Citrulline ( < 0.05) and Met ( < 0.01) concentrations were greater in RFI than RFI pigs in the fasted state, whereas Asp was greater in RFI pigs in both fasted and fed states ( < 0.05). On d 8, liver and LM protein synthesis tended to be lower ( = 0.07 and 0.09, respectively) and liver calpain activity was greater ( = 0.07) in RFI than RFI pigs. Liver and LM proteasome did not differ between lines ( 0.1). The metabolic differences between lines were not associated with differences in feed intake, ADG between d -1 and d 8, and haptoglobin concentration ( 0.1). Thus, it seems that that, using different metabolic strategies, both lines coped similarly with the CFA challenge. Contrary to our hypothesis, this experiment showed, in young pigs, no advantage of RFI animals in response to an inflammatory challenge.

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Year:  2016        PMID: 27065126     DOI: 10.2527/jas.2015-9445

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


  12 in total

1.  RAPID COMMUNICATION: Residual feed intake in beef cattle is associated with differences in protein turnover and nutrient transporters in ruminal epithelium.

Authors:  Ahmed A Elolimy; Emad Abdel-Hamied; Liangyu Hu; Joshua C McCann; Daniel W Shike; Juan J Loor
Journal:  J Anim Sci       Date:  2019-04-29       Impact factor: 3.159

2.  Effect of a dual enteric and respiratory pathogen challenge on swine growth, efficiency, carcass composition, and pork quality1.

Authors:  Amanda C Outhouse; Emma T Helm; Brian M Patterson; Jack C M Dekkers; Wendy M Rauw; Kent J Schwartz; Nicholas K Gabler; Elisabeth Huff-Lonergan; Steven M Lonergan
Journal:  J Anim Sci       Date:  2019-12-17       Impact factor: 3.159

3.  Poor hygiene of housing conditions influences energy metabolism in a muscle type-dependent manner in growing pigs differing in feed efficiency.

Authors:  Annie Vincent; Frédéric Dessauge; Florence Gondret; Bénédicte Lebret; Nathalie Le Floc'h; Isabelle Louveau; Louis Lefaucheur
Journal:  Sci Rep       Date:  2022-05-14       Impact factor: 4.996

4.  Maternal immune activation and dietary soy isoflavone supplementation influence pig immune function but not muscle fiber formation.

Authors:  Erin E Bryan; Xuenan Chen; Brooke Nicole Smith; Ryan Neil Dilger; Anna C Dilger
Journal:  J Anim Sci       Date:  2022-05-01       Impact factor: 3.338

5.  Impact of Mycoplasma hyopneumoniae and Lawsonia intracellularis on the performance of pigs divergently selected for feed efficiency.

Authors:  Emma T Helm; Amanda C Outhouse; Kent J Schwartz; Jack C M Dekkers; Steven M Lonergan; Wendy M Rauw; Nicholas K Gabler
Journal:  J Anim Sci       Date:  2018-03-06       Impact factor: 3.159

6.  Metabolic adaptation of pigs to a Mycoplasma hyopneumoniae and Lawsonia intracellularis dual challenge.

Authors:  Emma T Helm; Amanda C Outhouse; Kent J Schwartz; Steven M Lonergan; Shelby M Curry; Jack C M Dekkers; Nicholas K Gabler
Journal:  J Anim Sci       Date:  2018-07-28       Impact factor: 3.159

7.  Responses to weaning in two pig lines divergently selected for residual feed intake depending on diet.

Authors:  Hélène Gilbert; Julien Ruesche; Nelly Muller; Yvon Billon; Vincent Begos; Lucile Montagne
Journal:  J Anim Sci       Date:  2019-01-01       Impact factor: 3.159

Review 8.  Review: divergent selection for residual feed intake in the growing pig.

Authors:  H Gilbert; Y Billon; L Brossard; J Faure; P Gatellier; F Gondret; E Labussière; B Lebret; L Lefaucheur; N Le Floch; I Louveau; E Merlot; M-C Meunier-Salaün; L Montagne; P Mormede; D Renaudeau; J Riquet; C Rogel-Gaillard; J van Milgen; A Vincent; J Noblet
Journal:  Animal       Date:  2017-01-25       Impact factor: 3.240

9.  A transcriptome multi-tissue analysis identifies biological pathways and genes associated with variations in feed efficiency of growing pigs.

Authors:  Florence Gondret; Annie Vincent; Magalie Houée-Bigot; Anne Siegel; Sandrine Lagarrigue; David Causeur; Hélène Gilbert; Isabelle Louveau
Journal:  BMC Genomics       Date:  2017-03-21       Impact factor: 3.969

10.  Acute systemic inflammatory response to lipopolysaccharide stimulation in pigs divergently selected for residual feed intake.

Authors:  Haibo Liu; Kristina M Feye; Yet T Nguyen; Anoosh Rakhshandeh; Crystal L Loving; Jack C M Dekkers; Nicholas K Gabler; Christopher K Tuggle
Journal:  BMC Genomics       Date:  2019-10-11       Impact factor: 3.969

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