Exploration of plasma metabolite levels in healthy nursery pigs in response to environmental enrichment and disease resilience.

disease challenge enrichment metabolites pig resilience

Journal

Journal of animal science
ISSN: 1525-3163
Titre abrégé: J Anim Sci
Pays: United States
ID NLM: 8003002

Informations de publication

Date de publication:
03 Jan 2023
Historique:
received: 02 06 2022
accepted: 25 01 2023
pubmed: 28 1 2023
medline: 7 3 2023
entrez: 27 1 2023
Statut: ppublish

Résumé

The purpose of this study was to explore plasma metabolite levels in young healthy pigs and their potential association with disease resilience and estimate genetic and phenotypic correlation with the change in lymphocyte concentration following disease challenge. Plasma samples were collected from 968 healthy nursery pigs over 15 batches at an average of 28 ± 3.23 d of age. Forty-four metabolites were identified and quantified by nuclear magnetic resonance. Pigs were then introduced into a natural disease challenge barn, and were classified into four groups based on the growth rate of each animal in the grow-to-finish phase (GFGR) and treatment rate (TR): resilient (RES), average (MID), susceptible (SUS), and dead (pigs that died before harvest). Blood samples were collected from all pigs before and 2 wk after disease challenge and complete blood count was determined. Environmental enrichment (inedible point source objects) was provided for half of the pigs in seven batches (N = 205) to evaluate its impact on resilience and metabolite concentrations. Concentration of all metabolites was affected by batch, while entry age affected the concentration of 16 metabolites. The concentration of creatinine was significantly lower for pigs classified as "dead" and "susceptible" when compared to "average" (P < 0.05). Pigs that received enrichment had significantly lower concentrations of six metabolites compared with pigs that did not receive enrichment (P ≤ 0.05). Both, group classification and enrichment affected metabolites that are involved in the same pathways of valine, leucine, and isoleucine biosynthesis and degradation. Resilient pigs had higher increase in lymphocyte concentration after disease challenge. The concentration of plasma l-α-aminobutyric acid was significantly negatively genetically correlated with the change in lymphocyte concentration following challenge. In conclusion, creatinine concentration in healthy nursery pigs was lower in pigs classified as susceptible or dead after disease challenge, whilst l-α-aminobutyric may be a genetic biomarker of lymphocyte response after pathogen exposure, and both deserve further investigation. Batch, entry age, and environmental enrichment were important factors affecting the concentration of metabolites and should be taken into consideration in future studies. The focus of this study was to explore plasma metabolite levels in young healthy pigs and their potential association with health outcome classification following the exposure to a polymicrobial disease challenge. In addition, we explored the effect of the environmental enrichment on metabolite concentrations. Finally, we estimated genetic and phenotypic correlations between metabolites and the magnitude of change in lymphocytes levels following exposure to a polymicrobial disease challenge. We found that concentration of creatinine was lower in pigs that died before marketing, classified as “dead” and susceptible when compared to average group. This indicates that creatinine can be used as an early indicator of death and/or susceptibility of disease in pigs. Providing environmental enrichment affected the concentration of six metabolites and branched chain amino acids index. Such results would be very useful to design environmental enrichment strategies when pigs are challenged by disease in commercial farms. The magnitude of change in lymphocytes level was negatively genetically correlated with l-α-aminobutyric acid. This result indicates that l-αs-aminobutyric acid can be an early indicator of the magnitude of change in lymphocytes level. Such indicator can be collected from nucleus breeding herds in healthy animals and could provide an early biomarker of resilience.

Autres résumés

Type: plain-language-summary (eng)
The focus of this study was to explore plasma metabolite levels in young healthy pigs and their potential association with health outcome classification following the exposure to a polymicrobial disease challenge. In addition, we explored the effect of the environmental enrichment on metabolite concentrations. Finally, we estimated genetic and phenotypic correlations between metabolites and the magnitude of change in lymphocytes levels following exposure to a polymicrobial disease challenge. We found that concentration of creatinine was lower in pigs that died before marketing, classified as “dead” and susceptible when compared to average group. This indicates that creatinine can be used as an early indicator of death and/or susceptibility of disease in pigs. Providing environmental enrichment affected the concentration of six metabolites and branched chain amino acids index. Such results would be very useful to design environmental enrichment strategies when pigs are challenged by disease in commercial farms. The magnitude of change in lymphocytes level was negatively genetically correlated with l-α-aminobutyric acid. This result indicates that l-αs-aminobutyric acid can be an early indicator of the magnitude of change in lymphocytes level. Such indicator can be collected from nucleus breeding herds in healthy animals and could provide an early biomarker of resilience.

Identifiants

pubmed: 36705540
pii: 7008185
doi: 10.1093/jas/skad033
pmc: PMC9982359
pii:
doi:

Substances chimiques

Creatinine AYI8EX34EU

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2023. Published by Oxford University Press on behalf of the American Society of Animal Science.

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Auteurs

Elda Dervishi (E)

Livestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Xuechun Bai (X)

Livestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.

Jian Cheng (J)

Department of Animal Science, Iowa State University, Ames, IA 50011, USA.

Frederic Fortin (F)

Centre de developpement du porc du Quebec inc. (CDPQ), Quebec City, QC, Canada.

Mike K Dyck (MK)

Livestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.

John C S Harding (JCS)

Department of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, Canada.

Yolande M Seddon (YM)

Department of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, Canada.

Jack C M Dekkers (JCM)

Department of Animal Science, Iowa State University, Ames, IA 50011, USA.

PigGen Canada (P)

PigGen Canada Research Consortium, Guelph, ON N1H4G8Canada.

Graham Plastow (G)

Livestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.

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Classifications MeSH