Evidence map›Paper›PMID 31929561›Full record

ArticlePloS one2020

Whole blood transcriptomic analysis of beef cattle at arrival identifies potential predictive molecules and mechanisms that indicate animals that naturally resist bovine respiratory disease.

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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 46 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.ORCID 0000-0002-3583-1010
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

Bovine respiratory disease (BRD) is a multifactorial disease complex and the leading infectious disease in post-weaned beef cattle. Clinical manifestations of BRD are recognized in beef calves within a high-risk setting, commonly associated with weaning, shipping, and novel feeding and housing environments. However, the understanding of complex host immune interactions and genomic mechanisms involved in BRD susceptibility remain elusive. Utilizing high-throughput RNA-sequencing, we contrasted the at-arrival blood transcriptomes of 6 beef cattle that ultimately developed BRD against 5 beef cattle that remained healthy within the same herd, differentiating BRD diagnosis from production metadata and treatment records. We identified 135 differentially expressed genes (DEGs) using the differential gene expression tools edgeR and DESeq2. Thirty-six of the DEGs shared between these two analysis platforms were prioritized for investigation of their relevance to infectious disease resistance using WebGestalt, STRING, and Reactome. Biological processes related to inflammatory response, immunological defense, lipoxin metabolism, and macrophage function were identified. Production of specialized pro-resolvin mediators (SPMs) and endogenous metabolism of angiotensinogen were increased in animals that resisted BRD. Protein-protein interaction modeling of gene products with significantly higher expression in cattle that naturally acquire BRD identified molecular processes involving microbial killing. Accordingly, identification of DEGs in whole blood at arrival revealed a clear distinction between calves that went on to develop BRD and those that resisted BRD. These results provide novel insight into host immune factors that are present at the time of arrival that confer protection from BRD.

Indexed as

AngiotensinogenAnimalsCase-Control StudiesCattleCattle DiseasesDisease ResistanceGene Expression ProfilingGene Expression RegulationGene Regulatory NetworksProtein Interaction MapsRespiratory Tract DiseasesRNASequence Analysis, RNASignal TransductionAngiotensinogenRNA

Identifiers

PMID31929561
PMCPMC6957175
OpenAlexW3000186133

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.