Evidence map›Paper›PMID 28535467›Full record

ReviewResearch in veterinary science2017

Molecular approaches to the diagnosis and monitoring of production diseases in pigs.

Timothy A Giles, Aouatif Belkhiri, Paul A Barrow, Neil Foster

Open access · greenAbstract readReview
In one paragraph

Review in Research in veterinary science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Novel multiplex PCR approach for the detection ofFrontiers in veterinary science · 2025
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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

4 authors at 1 institution in 1 country.

Timothy A GilesSchool of Veterinary Medicine and Science, University of Nottingham, Leicestershire LE125RD, United Kingdom. Electronic address: timothy.giles@nottingham.ac.uk.
Aouatif BelkhiriSchool of Veterinary Medicine and Science, University of Nottingham, Leicestershire LE125RD, United Kingdom. Electronic address: aouatif.belkhiri@nottingham.ac.uk.
Paul A BarrowSchool of Veterinary Medicine and Science, University of Nottingham, Leicestershire LE125RD, United Kingdom. Electronic address: paul.barrow@nottingham.ac.uk.
Neil FosterSchool of Veterinary Medicine and Science, University of Nottingham, Leicestershire LE125RD, United Kingdom. Electronic address: n.foster@nottingham.ac.uk.
University of Nottingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Production disease in pigs is caused by a variety of different pathogens, mainly enteric and respiratory and can result in significant economic loss. Other factors such as stress, poor husbandry and nutrition can also contribute to an animal's susceptibility to disease. Molecular biomarkers of production disease could be of immense value by improving diagnosis and risk analysis to determine best practice with an impact on increased economic output and animal welfare. In addition to the use of multiplex PCR or microarrays to detect individual or mixed pathogens during infection, these technologies can also be used to monitor the host response to infection via gene expression. The patterns of gene expression associated with cellular damage or initiation of the early immune response may indicate the type of pathology and, by extension the types of pathogen involved. Molecular methods can therefore be used to monitor both the presence of a pathogen and the host response to it during production disease. The field of biomarker discovery and implementation is expanding as technologies such as microarrays and next generation sequencing become more common. Whilst a large number of studies have been carried out in human medicine, further work is needed to identify molecular biomarkers in veterinary medicine and in particular those associated with production disease in the pig industry. The pig transcriptome is highly complex and still not fully understood. Further gene expression studies are needed to identify molecular biomarkers which may have predictive value in identifying the environmental, nutritional and other risk factors which are associated with production diseases in pigs.

Indexed as

Animal HusbandryAnimalsBiomarkersHigh-Throughput Nucleotide SequencingSus scrofaSwineSwine DiseasesBiomarkersBiomarkersMolecular diagnosticsPigsProduction disease

Identifiers

PMID28535467
PMCPMC7118804
OpenAlexW2614497902

What Socratic holds

Textmetadata
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.