Evidence map›Paper›PMID 28265003›Full record

ArticleMolecular and cellular biology2017

SorLA in Interleukin-6 Signaling and Turnover.

Jakob Vejby Larsen, Claus Munck Petersen

Open access · hybridAbstract read
In one paragraph

Article in Molecular and cellular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. LR11/SorLA and its role in cardiovascular disease.International journal of cardiology. Heart & vasculature · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Differential effects ofPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  6. Observational
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. [Verification of a sporadic Alzheimer disease model in SORL1 gene knockout mice].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2018
    Article
  13. Review
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 at 1 institution in 1 country.

Jakob Vejby LarsenThe MIND Center, Department of Biomedicine, Aarhus University, Aarhus, Denmark jvl@biomed.au.dk cmp@biomed.au.dk.
Claus Munck PetersenThe MIND Center, Department of Biomedicine, Aarhus University, Aarhus, Denmark jvl@biomed.au.dk cmp@biomed.au.dk.
Aarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interleukin-6 (IL-6) is a multifunctional cytokine with important functions in various physiologic processes. Mice lacking IL-6 exhibit multiple phenotypic abnormalities, such as an inadequate immune and acute-phase response, and elevated levels of circulating IL-6 have been found to accompany several pathological conditions. IL-6 binds the nonsignaling IL-6 receptor (IL-6R), which is expressed as a transmembrane, as well as a secreted circulating protein, before it engages homodimeric gp130 for signaling. Complex formation between IL-6 and the membrane-bound IL-6 receptor gives rise to classic

Indexed as

Signal TransductionAnimalsAstrocytesCell MembraneDown-RegulationEndocytosisHalf-LifeHEK293 CellsHumansInterleukin-6LDL-Receptor Related ProteinsMembrane Transport ProteinsMice, KnockoutPeptidesProtein BindingProtein DomainsInterleukin-6LDL-Receptor Related ProteinsMembrane Transport ProteinsPeptidesReceptors, Interleukin-6Receptors, LDLSORL1 protein, humanSorl1 protein, mousecytokinesendocytosisIL-6IL-6RSorLASTAT3 signalingVps10p domain receptors

Identifiers

PMID28265003
PMCPMC5440653
OpenAlexW2593676710

What OpenQuestion holds

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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.