Evidence map›Paper›PMID 34903778›Full record

ArticleScientific reports2021

Multipopulational transcriptome analysis of post-weaned beef cattle at arrival further validates candidate biomarkers for predicting clinical 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 Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

10 citing papers in PubMed, 14 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 3 institutions in 1 country.

Matthew A ScottVeterinary Education, Research, and Outreach Center, Texas A&M University and West Texas A&M University, Canyon, TX, USA. matthewscott@tamu.edu.ORCID 0000-0001-5243-7181
Amelia R WoolumsDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, USA.
Cyprianna E SwiderskiDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, USA.
Andy D PerkinsDepartment of Computer Science and Engineering, Mississippi State University, Mississippi State, MS, USA.
Bindu NanduriDepartment of Comparative Biomedical Sciences, Mississippi State University, Mississippi State, MS, USA.
David R SmithDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, USA.
Brandi B KarischDepartment of Animal and Dairy Sciences, Mississippi State University, Mississippi State, MS, USA.
William B EppersonDepartment of Pathobiology and Population Medicine, Mississippi State University, Mississippi State, MS, USA.
John R BlantonDepartment of Animal Sciences, Purdue University, West Lafayette, IN, USA.
Mississippi State University · USPurdue University West Lafayette · USWest Texas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine respiratory disease (BRD) remains the leading infectious disease in post-weaned beef cattle. The objective of this investigation was to contrast the at-arrival blood transcriptomes from cattle derived from two distinct populations that developed BRD in the 28 days following arrival versus cattle that did not. Forty-eight blood samples from two populations were selected for mRNA sequencing based on even distribution of development (n = 24) or lack of (n = 24) clinical BRD within 28 days following arrival; cattle which developed BRD were further stratified into BRD severity cohorts based on frequency of antimicrobial treatment: treated once (treated_1) or treated twice or more and/or died (treated_2+). Sequenced reads (~ 50 M/sample, 150 bp paired-end) were aligned to the ARS-UCD1.2 bovine genome assembly. One hundred and thirty-two unique differentially expressed genes (DEGs) were identified between groups stratified by disease severity (healthy, n = 24; treated_1, n = 13; treated_2+, n = 11) with edgeR (FDR ≤ 0.05). Differentially expressed genes in treated_1 relative to both healthy and treated_2+ were predicted to increase neutrophil activation, cellular cornification/keratinization, and antimicrobial peptide production. Differentially expressed genes in treated_2+ relative to both healthy and treated_1 were predicted to increase alternative complement activation, decrease leukocyte activity, and increase nitric oxide production. Receiver operating characteristic (ROC) curves generated from expression data for six DEGs identified in our current and previous studies (MARCO, CFB, MCF2L, ALOX15, LOC100335828 (aka CD200R1), and SLC18A2) demonstrated good-to-excellent (AUC: 0.800-0.899; ≥ 0.900) predictability for classifying disease occurrence and severity. This investigation identifies candidate biomarkers and functional mechanisms in at arrival blood that predicted development and severity of BRD.

Indexed as

TranscriptomeAnimalsBiomarkersCattleCattle DiseasesRespiratory Tract InfectionsBiomarkers

Identifiers

PMID34903778
PMCPMC8669006
OpenAlexW4225577414

What Socratic 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 Socratic graph.