Evidence map›Paper›PMID 33901263›Full record

ArticlePloS one2021

Comprehensive at-arrival transcriptomic analysis of post-weaned beef cattle uncovers type I interferon and antiviral mechanisms associated with bovine respiratory disease mortality.

Matthew A Scott, Amelia R Woolums, Cyprianna E Swiderski, Andy D Perkins, Bindu Nanduri, David R Smith, Brandi B Karisch, William B Epperson, John R Blanton

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

9 authors at 1 institution in 1 country.

Matthew A ScottDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, United States of America.ORCID 0000-0001-5243-7181
Amelia R WoolumsDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, United States of America.
Cyprianna E SwiderskiDepartment of Clinical Sciences, Mississippi State University, Mississippi State, MS, United States of America.
Andy D PerkinsDepartment of Computer Science and Engineering, Mississippi State University, Mississippi State, MS, United States of America.
Bindu NanduriDepartment of Basic Sciences, Mississippi State University College of Veterinary Medicine, Mississippi State University, Mississippi State, MS, United States of America.
David R SmithDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, United States of America.
Brandi B KarischDepartment of Animal and Dairy Sciences, Mississippi State University, Mississippi State, MS, United States of America.
William B EppersonDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, United States of America.
John R BlantonDepartment of Animal and Dairy Sciences, Mississippi State University, Mississippi State, MS, United States of America.
Mississippi State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite decades of extensive research, bovine respiratory disease (BRD) remains the most devastating disease in beef cattle production. Establishing a clinical diagnosis often relies upon visual detection of non-specific signs, leading to low diagnostic accuracy. Thus, post-weaned beef cattle are often metaphylactically administered antimicrobials at facility arrival, which poses concerns regarding antimicrobial stewardship and resistance. Additionally, there is a lack of high-quality research that addresses the gene-by-environment interactions that underlie why some cattle that develop BRD die while others survive. Therefore, it is necessary to decipher the underlying host genomic factors associated with BRD mortality versus survival to help determine BRD risk and severity. Using transcriptomic analysis of at-arrival whole blood samples from cattle that died of BRD, as compared to those that developed signs of BRD but lived (n = 3 DEAD, n = 3 ALIVE), we identified differentially expressed genes (DEGs) and associated pathways in cattle that died of BRD. Additionally, we evaluated unmapped reads, which are often overlooked within transcriptomic experiments.

results69 DEGs (FDR<0.10) were identified between ALIVE and DEAD cohorts. Several DEGs possess immunological and proinflammatory function and associations with TLR4 and IL6. Biological processes, pathways, and disease phenotype associations related to type-I interferon production and antiviral defense were enriched in DEAD cattle at arrival. Unmapped reads aligned primarily to various ungulate assemblies, but failed to align to viral assemblies.

conclusionThis study further revealed increased proinflammatory immunological mechanisms in cattle that develop BRD. DEGs upregulated in DEAD cattle were predominantly involved in innate immune pathways typically associated with antiviral defense, although no viral genes were identified within unmapped reads. Our findings provide genomic targets for further analysis in cattle at highest risk of BRD, suggesting that mechanisms related to type I interferons and antiviral defense may be indicative of viral respiratory disease at arrival and contribute to eventual BRD mortality.

Indexed as

TranscriptomeAnimalsAntiviral AgentsBovine Respiratory Disease ComplexCattleContig MappingGene Expression ProfilingInterferon Type IMalePhenotypeProtein Interaction MapsToll-Like Receptor 4Antiviral AgentsInterferon Type IToll-Like Receptor 4

Identifiers

PMID33901263
PMCPMC8075194
OpenAlexW3159598210

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.