Evidence map›Paper›PMID 34384354›Full record

ArticleBMC genomics2021

Quantitative analysis of the blood transcriptome of young healthy pigs and its relationship with subsequent disease resilience.

Kyu-Sang Lim, Jian Cheng, Austin Putz, Qian Dong, Xuechun Bai, Hamid Beiki, Christopher K Tuggle, Michael K Dyck, Pig Gen Canada, Frederic Fortin and 3 more

Abstract read
In one paragraph

Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

13 authors.

Kyu-Sang LimDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA.
Jian ChengDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA.
Austin PutzDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA.
Qian DongDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA.
Xuechun BaiDepartment of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Hamid BeikiDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA.
Christopher K TuggleDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA.
Michael K DyckDepartment of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Pig Gen CanadaPigGen Canada Research Consortium, Guelph, Ontario, N1H4G8, Canada.
Frederic FortinCentre de Développement du Porc du Québec Inc. (CDPQ), Québec City, QC, G1V 4M6, Canada.
John C S HardingDepartment of Large Animal Clinical Sciences, University of Saskatchewan, Saskatoon, SK, S7N 5A2, Canada.
Graham S PlastowDepartment of Agriculture, Food and Nutritional Science, University of Alberta, Edmonton, AB, T6G 2R3, Canada.
Jack C M DekkersDepartment of Animal Science, Iowa State University, Ames, Iowa, 50011, USA. jdekkers@iastate.edu.ORCID http://orcid.org/0000-0003-1557-7577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDisease resilience, which is the ability of an animal to maintain performance under disease, is important for pigs in commercial herds, where they are exposed to various pathogens. Our objective was to investigate population-level gene expression profiles in the blood of 912 healthy F1 barrows at ~ 27 days of age for associations with performance and health before and after their exposure to a natural polymicrobial disease challenge at ~ 43 days of age.

resultsMost significant (q < 0.20) associations of the level of expression of individual genes in blood of young healthy pigs were identified for concurrent growth rate and subjective health scores prior to the challenge, and for mortality, a combined mortality-treatment trait, and feed conversion rate after the challenge. Gene set enrichment analyses revealed three groups of gene ontology biological process terms that were related to disease resilience: 1) immune and stress response-related terms were enriched among genes whose increased expression was unfavorably associated with both pre- and post-challenge traits, 2) heme-related terms were enriched among genes that had favorable associations with both pre- and post-challenge traits, and 3) terms related to protein localization and viral gene expression were enriched among genes that were associated with reduced performance and health traits after but not before the challenge.

conclusionsGene expression profiles in blood from young healthy piglets provide insight into their performance when exposed to disease and other stressors. The expression of genes involved in stress response, heme metabolism, and baseline expression of host genes related to virus propagation were found to be associated with host response to disease.

Indexed as

ImmunityTranscriptomeAnimalsGene OntologyPhenotypeSwineBloodDisease challengeDisease resiliencePigsTranscriptomics

Identifiers

PMID34384354
PMCPMC8361860

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Registered trials

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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.