Evidence map›Paper›PMID 30291454›Full record

ArticleDie Naturwissenschaften2018

Seasonal changes in eicosanoid metabolism in the brown bear.

Sylvain Giroud, Alina L Evans, Isabelle Chery, Fabrice Bertile, Georg Tascher, Justine Bertrand-Michel, Guillemette Gauquelin-Koch, Jon M Arnemo, Jon E Swenson, Etienne Lefai and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Die Naturwissenschaften, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Fatty Acid Composition ofAnimals : an open access journal from MDPI · 2022
    Article
  6. Article
  7. Review
  8. Denning in brown bears.Ecology and evolution · 2020
    Review
  9. Review
  10. Polar bear evolution is marked by rapid changes in gene copy number in response to dietary shift.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  11. Article
  12. 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 8 institutions in 4 countries.

Sylvain GiroudDepartment of Integrative Biology and Evolution, Research Institute of Wildlife Ecology, University of Veterinary Medicine, Savoyenstraße 1, 1160, Vienna, Austria. sylvain.giroud@vetmeduni.ac.at.ORCID http://orcid.org/0000-0001-6621-7462
Alina L EvansDepartment of Forestry and Wildlife Management, Inland Norway University of Applied Sciences, NO-2480, Koppang, Norway.
Isabelle CheryUniversity of Strasbourg, IPHC, 23 rue Becquerel, 67087, Strasbourg, France.
Fabrice BertileUniversity of Strasbourg, IPHC, 23 rue Becquerel, 67087, Strasbourg, France.
Georg TascherUniversity of Strasbourg, IPHC, 23 rue Becquerel, 67087, Strasbourg, France.
Justine Bertrand-MichelMetaToul-LIPIDOMIQUE Core Facility, MetaboHUB, Inserm U1048, Toulouse, France.
Guillemette Gauquelin-KochCNES Paris, 2 Place Maurice Quentin, 75039 Cedex 01, Paris, France.
Jon M ArnemoDepartment of Forestry and Wildlife Management, Inland Norway University of Applied Sciences, NO-2480, Koppang, Norway.
Jon E SwensonFaculty of Environmental Sciences and Natural Resource Management, Norwegian University of Life Sciences, PO Box 5003, NO-1432, Ås, Norway.
Etienne LefaiCARMEN, INSERM U1060 / University of Lyon / INRA U1235, Oullins, France.
Stéphane BlancUniversity of Strasbourg, IPHC, 23 rue Becquerel, 67087, Strasbourg, France.
Chantal SimonCARMEN, INSERM U1060 / University of Lyon / INRA U1235, Oullins, France.
Centre National de la Recherche Scientifique · FRUniversité Claude Bernard Lyon 1 · FRCentre National d'Études Spatiales · FRInserm · FRNorwegian Institute for Nature Research · NOSwedish University of Agricultural Sciences · SEUniversity of Inland Norway · NOUniversity of Veterinary Medicine Vienna · AT

Funding

Austrian Science Fund FWF P 27267Narodowe Centrum Badań i Rozwoju POL-NOR/198352/85/2013Université de Strasbourg IdEx H2E Projex
6 · The paper itself

Abstract

Polyunsaturated fatty acids (PUFAs) exert several important functions across organ systems. During winter, hibernators divert PUFAs from oxidation, retaining them in their tissues and membranes, to ensure proper body functions at low body temperature. PUFAs are also precursors of eicosanoids with pro- and anti-inflammatory properties. This study investigated seasonal changes in eicosanoid metabolism of free-ranging brown bears (Ursus arctos). By using a lipidomic approach, we assessed (1) levels of specific omega-3 and omega-6 fatty acids involved in the eicosanoid cascade and (2) concentrations of eicosanoids in skeletal muscle and blood plasma of winter hibernating and summer active bears. We observed significant seasonal changes in the specific omega-3 and omega-6 precursors. We also found significant seasonal alterations of eicosanoid levels in both tissues. Concentrations of pro-inflammatory eicosanoids, such as thromboxane B2, 5-hydroxyeicosatetraenoic acid (HETE), and 15-HETE and 18-HETE, were significantly lower in muscle and/or plasma of hibernating bears compared to summer-active animals. Further, plasma and muscle levels of 5,6-epoxyeicosatrienoic acid (EET), as well as muscle concentration of 8,9-EET, tended to be lower in bears during winter hibernation vs. summer. We also found lower plasma levels of anti-inflammatory eicosanoids, such as 15dPGJ

Indexed as

SeasonsAnimalsEicosanoidsHibernationMuscle, SkeletalUrsidaeEicosanoidsFatty acidsHibernationLeukotrieneMetabolismProstaglandinsThromboxane

Identifiers

PMID30291454
PMCPMC6182652
OpenAlexW2889732858

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.