Evidence map›Paper›PMID 36638126›Full record

ArticleJournal of animal science2023

Plasma protein levels of young healthy pigs as indicators of disease resilience.

Yulu Chen, Steven Lonergan, Kyu-Sang Lim, Jian Cheng, Austin M Putz, Michael K Dyck, PigGen Canada, Frederic Fortin, John C S Harding, Graham S Plastow and 1 more

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.8field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Prediction of disease resilience of pigs using multi-omics data.Journal of animal science and biotechnology · 2026
    Article
  2. Article
  3. Selection for Resilience in Livestock Production Systems.International journal of molecular sciences · 2024
    Review
  4. Article
  5. 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

11 authors at 5 institutions in 4 countries.

Yulu ChenDepartment of Animal Science, Iowa State University, Ames, IA, USA.ORCID 0000-0003-2208-7242
Steven LonerganDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Kyu-Sang LimDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Jian ChengDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Austin M PutzDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Michael K DyckDepartment of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
PigGen CanadaPigGen Canada Research Consortium, Guelph, Ontario, Canada.
Frederic FortinCentre de Développement du Porc du Québec Inc., Québec City, Canada.
John C S HardingDepartment of Large Animal Clinical Science, University of Saskatchewan, Saskatoon, SK, Canada.
Graham S PlastowDepartment of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.ORCID 0000-0002-3774-3110
Jack C M DekkersDepartment of Animal Science, Iowa State University, Ames, IA, USA.
Iowa State University · USUniversity of Alberta · CACentre de Développement du Porc du Québec · CAHendrix Genetics (Netherlands) · NLKongju National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Selection for disease resilience, which refers to the ability of an animal to maintain performance when exposed to disease, can reduce the impact of infectious diseases. However, direct selection for disease resilience is challenging because nucleus herds must maintain a high health status. A possible solution is indirect selection of indicators of disease resilience. To search for such indicators, we conducted phenotypic and genetic quantitative analyses of the abundances of 377 proteins in plasma samples from 912 young and visually healthy pigs and their relationships with performance and subsequent disease resilience after natural exposure to a polymicrobial disease challenge. Abundances of 100 proteins were significantly heritable (false discovery rate (FDR) <0.10). The abundance of some proteins was or tended to be genetically correlated (rg) with disease resilience, including complement system proteins (rg = -0.24, FDR = 0.001) and IgG heavy chain proteins (rg = -0.68, FDR = 0.22). Gene set enrichment analyses (FDR < 0.2) based on phenotypic and genetic associations of protein abundances with subsequent disease resilience revealed many pathways related to the immune system that were unfavorably associated with subsequent disease resilience, especially the innate immune system. It was not possible to determine whether the observed levels of these proteins reflected baseline levels in these young and visually healthy pigs or were the result of a response to environmental disturbances that the pigs were exposed to before sample collection. Nevertheless, results show that, under these conditions, the abundance of proteins in some immune-related pathways can be used as phenotypic and genetic predictors of disease resilience and have the potential for use in pig breeding and management.

Indexed as

Blood ProteinsHealth StatusAnimalsPhenotypeSwineBlood Proteinsdisease resilienceindicator traitspigsplasma proteins

Identifiers

PMID36638126
PMCPMC9977353
OpenAlexW4315928228

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.