Evidence map›Paper›PMID 29165340›Full record

ReviewBiology2017

Impacts of Low Temperature on the Teleost Immune System.

Quinn H Abram, Brian Dixon, Barbara A Katzenback

Abstract readReview
In one paragraph

Review in Biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. DietaryFrontiers in immunology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

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

3 authors.

Quinn H AbramDepartment of Biology, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada. qhabram@uwaterloo.ca.
Brian DixonDepartment of Biology, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada. bdixon@uwaterloo.ca.
Barbara A KatzenbackDepartment of Biology, University of Waterloo, 200 University Ave West, Waterloo, ON N2L 3G1, Canada. barb.katzenback@uwaterloo.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As poikilothermic vertebrates, fish can experience changes in water temperature, and hence body temperature, as a result of seasonal changes, migration, or efflux of large quantities of effluent into a body of water. Temperature shifts outside of the optimal temperature range for an individual fish species can have negative impacts on the physiology of the animal, including the immune system. As a result, acute or chronic exposure to suboptimal temperatures can impair an organisms' ability to defend against pathogens and thus compromise the overall health of the animal. This review focuses on the advances made towards understanding the impacts of suboptimal temperature on the soluble and cellular mediators of the innate and adaptive immune systems of fishes. Although cold stress can result in varying effects in different fish species, acute and chronic suboptimal temperature exposure generally yield suppressive effects, particularly on adaptive immunity. Knowledge of the effects of environmental temperature on fish species is critical for both the optimal management of wild species and the best management practices for aquaculture species.

Indexed as

adaptive immunityantibodiesantigen presentationcytokinesinnate immunitylymphocyte proliferationmacrophagesmajor histocompatibility class Iteleoststemperature

Identifiers

PMID29165340
PMCPMC5745444

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.