Evidence map›Paper›PMID 33105610›Full record

ArticleGenes2020

Multigene Expression Assay for Assessment of the Immune Status of Atlantic Salmon.

Aleksei Krasnov, Sergey Afanasyev, Stian Nylund, Alexander Rebl

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Transcriptome Responses of Atlantic Salmon (Frontiers in immunology · 2021
    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

4 authors.

Aleksei KrasnovNofima AS Osloveien 1, 1433 Ås, Norway.
Sergey AfanasyevSechenov institute of evolutionary physiology and biochemistry Russian Academy Of Sciences, Torez 44, 194223 Saint-Petersburg, Russia.ORCID 0000-0002-8393-820X
Stian NylundPharmaq Analytiq, Thormoehlens Gate 53D, 5008 Bergen, Norway.
Alexander ReblLeibniz Institute for Farm Animal Biology (FBN), Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany.ORCID 0000-0002-2918-7433

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report the development of a multigene gene expression assay on the BioMark HD platform for the evaluation of immune competence (ImCom) in farmed Atlantic salmon. The first version of the assay included 92 genes selected on the basis of transcriptome analyses in 54 trials that challenged the immune system; annotations were taken into account to represent the key pathways of innate and adaptive immunity. ImCom was tested on samples collected from seven independent projects. Fish were reared from the start feeding to eight months in the sea at eight units in different parts of Norway. Several tissues were analyzed. Linear discriminant analysis (LDA) showed that no more than 10 genes were required to separate groups, and a set of 46 immune genes was sufficient for any task. The second version of the assay was tested in the gills of two groups of high-performing healthy smolts and in groups with intermediate and high mortality rates (IM and HM, respectively). A set of 645 gill samples from clinically healthy Atlantic salmon was used as a reference. The IM group showed general suppression of immunity. All HM group salmon were above the threshold by the squared deviation from the reference. This group showed marked upregulation of genes involved in acute stress and inflammation:

Indexed as

Adaptive ImmunityAnimalsGene Expression ProfilingGillsImmunity, InnateMultifactorial InheritancePolymerase Chain ReactionSalmo salarTranscriptomeAtlantic salmongene expressionimmune competencesmolt

Identifiers

PMID33105610
PMCPMC7690445

What OpenQuestion holds

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Registered trials

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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.