Evidence map›Paper›PMID 36705540›Full record

ArticleJournal of animal science2023

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

Elda Dervishi, Xuechun Bai, Jian Cheng, Frederic Fortin, Mike K Dyck, John C S Harding, Yolande M Seddon, Jack C M Dekkers, PigGen Canada, Graham Plastow

Open access · hybridAbstract read
In one paragraph

Article in Journal of animal science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Elda DervishiLivestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0002-7335-397X
Xuechun BaiLivestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.
Jian ChengDepartment of Animal Science, Iowa State University, Ames, IA 50011, USA.
Frederic FortinCentre de developpement du porc du Quebec inc. (CDPQ), Quebec City, QC, Canada.
Mike K DyckLivestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.
John C S HardingDepartment of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Yolande M SeddonDepartment of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, Canada.
Jack C M DekkersDepartment of Animal Science, Iowa State University, Ames, IA 50011, USA.
PigGen CanadaPigGen Canada Research Consortium, Guelph, ON N1H4G8Canada.
Graham PlastowLivestock Gentec, Department of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB T6G 2R3, Canada.ORCID 0000-0002-3774-3110
University of Alberta · CAIowa State University · USUniversity of Saskatchewan · CACentre de Développement du Porc du Québec · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Animal FeedAnimalsCreatinineSwineCreatininedisease challengeenrichmentmetabolitespigresilience

Identifiers

PMID36705540
PMCPMC9982359
OpenAlexW4318264013

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.