Evidence map›Paper›PMID 29263411›Full record

ArticleScientific reports2017

Tissue Tropism in Host Transcriptional Response to Members of the Bovine Respiratory Disease Complex.

Susanta K Behura, Polyana C Tizioto, JaeWoo Kim, Natalia V Grupioni, Christopher M Seabury, Robert D Schnabel, Laurel J Gershwin, Alison L Van Eenennaam, Rachel Toaff-Rosenstein, Holly L Neibergs and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

31 citing papers in PubMed, 41 citations in OpenAlex.

  1. Article
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  5. Review
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  8. Application of Genomic Selection in Beef Cattle Disease Prevention.Animals : an open access journal from MDPI · 2025
    Review
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  11. Review
  12. Review
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  17. Article
  18. Microorganisms · 2022
    Article
  19. Article
  20. 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

12 authors at 6 institutions in 2 countries.

Susanta K BehuraDivision of Animal Sciences, University of Missouri, Columbia, MO, United States of America.
Polyana C TiziotoDivision of Animal Sciences, University of Missouri, Columbia, MO, United States of America.
JaeWoo KimDivision of Animal Sciences, University of Missouri, Columbia, MO, United States of America.
Natalia V GrupioniDepartamento de Ciencias Exatas, UNESP - Univ Estadual Paulista, Faculdade de Ciencias Agrarias e Veterinarias, Jaboticabal, SP, 14884-900, Brazil.
Christopher M SeaburyDepartment of Veterinary Pathobiology, College of Veterinary Medicine, Texas A&M University, College Station, TX, United States of America.
Robert D SchnabelDivision of Animal Sciences, University of Missouri, Columbia, MO, United States of America.ORCID 0000-0001-5018-7641
Laurel J GershwinDepartment of Pathology, Microbiology & Immunology, School of Veterinary Medicine, University of California, Davis, California, United States of America.
Alison L Van EenennaamDepartment of Animal Science, College of Agriculture, University of California, Davis, CA, United States of America.ORCID 0000-0003-1562-162X
Rachel Toaff-RosensteinDepartment of Animal Science, College of Agriculture, University of California, Davis, CA, United States of America.
Holly L NeibergsDepartment of Animal Sciences, College of Agriculture and Natural Resource Sciences, Washington State University, Pullman, WA, United States of America.
Luciana C A RegitanoEmbrapa Southeast Livestock, São Carlos, SP, Brazil.ORCID 0000-0001-9242-8351
Jeremy F TaylorDivision of Animal Sciences, University of Missouri, Columbia, MO, United States of America. taylorjerr@missouri.edu.ORCID 0000-0002-6997-7245
University of Missouri · USUniversity of California, Davis · USBrazilian Agricultural Research Corporation · BRTexas A&M University · USUniversidade Estadual Paulista (Unesp) · BRWashington State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine respiratory disease (BRD) is the most common infectious disease of beef and dairy cattle and is characterized by a complex infectious etiology that includes a variety of viral and bacterial pathogens. We examined the global changes in mRNA abundance in healthy lung and lung lesions and in the lymphoid tissues bronchial lymph node, retropharyngeal lymph node, nasopharyngeal lymph node and pharyngeal tonsil collected at the peak of clinical disease from beef cattle experimentally challenged with either bovine respiratory syncytial virus, infectious bovine rhinotracheitis, bovine viral diarrhea virus, Mannheimia haemolytica or Mycoplasma bovis. We identified signatures of tissue-specific transcriptional responses indicative of tropism in the coordination of host's immune tissue responses to infection by viral or bacterial infections. Furthermore, our study shows that this tissue tropism in host transcriptional response to BRD pathogens results in the activation of different networks of response genes. The differential crosstalk among genes expressed in lymphoid tissues was predicted to be orchestrated by specific immune genes that act as 'key players' within expression networks. The results of this study serve as a basis for the development of innovative therapeutic strategies and for the selection of cattle with enhanced resistance to BRD.

Indexed as

Transcription, GeneticViral TropismAnimalsBovine Respiratory Disease ComplexCattleDiarrhea Viruses, Bovine ViralHerpesvirus 1, BovineHost-Pathogen InteractionsLungMaleMannheimia haemolyticaMycoplasma bovisRespiratory Syncytial Virus, BovineTranscriptome

Identifiers

PMID29263411
PMCPMC5738336
OpenAlexW2774440272

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.