Evidence map›Paper›PMID 28608816›Full record

ReviewViruses2017

Mechanisms of Adaptive Immunity to Porcine Reproductive and Respiratory Syndrome Virus.

Michael C Rahe, Michael P Murtaugh

Abstract readReview
In one paragraph

Review in Viruses, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
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  6. Review
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  11. Natural co-infection of pigs with African swine fever virus and porcine reproductive and respiratory syndrome virus in India.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2024
    Article
  12. Article
  13. Article
  14. Review
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  16. Review
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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

2 authors.

Michael C RaheDepartment of Veterinary and Biomedical Sciences, University of Minnesota, 1971 Commonwealth Avenue, St. Paul, MN 55108, USA. rahex008@umn.edu.
Michael P MurtaughDepartment of Veterinary and Biomedical Sciences, University of Minnesota, 1971 Commonwealth Avenue, St. Paul, MN 55108, USA. murta001@umn.edu.

Funding

Comparative Medicine and Pathology TrainingT32OD010993 · OD · UNIVERSITY OF MINNESOTA · PI DAVID R BROWN, Cathy S. Carlson · 2012 to 2026
$6.2M
NIH HHS T32 OD010993
6 · The paper itself

Abstract

The adaptive immune response is necessary for the development of protective immunity against infectious diseases. Porcine reproductive and respiratory syndrome virus (PRRSV), a genetically heterogeneous and rapidly evolving RNA virus, is the most burdensome pathogen of swine health and wellbeing worldwide. Viral infection induces antigen-specific immunity that ultimately clears the infection. However, the resulting immune memory, induced by virulent or attenuated vaccine viruses, is inconsistently protective against diverse viral strains. The immunological mechanisms by which primary and memory protection are generated and used are not well understood. Here, we summarize current knowledge regarding cellular and humoral components of the adaptive immune response to PRRSV infection that mediate primary and memory immune protection against viruses.

Indexed as

Adaptive ImmunityImmunologic MemoryAnimalsAntibodies, NeutralizingAntibodies, ViralB-LymphocytesHumansImmunity, CellularImmunity, HumoralKiller Cells, NaturalMicePorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusSwineT-LymphocytesVaccines, AttenuatedAntibodies, NeutralizingAntibodies, ViralVaccines, AttenuatedViral Vaccinesadaptive immune responseB cellmemoryneutralizing antibodyNK cellporcinePRRSVT cell

Identifiers

PMID28608816
PMCPMC5490824

What OpenQuestion holds

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LicenceCC BY
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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.