Evidence map›Paper›PMID 22717983›Full record

ArticleProtein & cell2012

To forge a solid immune recognition.

Yan Shi

Abstract read
In one paragraph

Article in Protein & cell, 2012. 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. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Calcium crystal deposition diseases - beyond gout.Nature reviews. Rheumatology · 2018
    Review
  9. 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

1 author.

Yan ShiDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, China. yanshi@biomed.tsinghua.edu.cn

Funding

Adjuvants' mechanismsR01AI098995 · NIAID · UNIVERSITY OF CALGARY · PI SHI, YAN · 2012 to 2016
$1.0M
Alum's adjuvanticityR21AI089963 · NIAID · UNIVERSITY OF CALGARY · PI SHI, YAN · 2010 to 2011
$295k
Canadian Institutes of Health Research MOP-119295NIAID NIH HHS R01AI098995NIAID NIH HHS R21AI089963
6 · The paper itself

Abstract

Phagocytosis and innate immune responses to solid structures are topics of interest and debate. Alum, monosodium urate, calcium pyrophosphate dehydrate, silica and by extension all solid entities draw varying degrees of attention from phagocytes, such as antigen presenting cells. For some, innocuous soluble metabolites turn into fierce irritants upon crystallization, pointing to divergent signaling mechanisms of a given substance in its soluble and solid states. Over the years, many mechanisms have been proposed, including phagocytic receptors, toll like receptors, and NACHT-LRRs (NLRs), as well as several other protein structure mediated recognition of the solids. Is there a more general mechanism for sensing solids? In this perspective, I present an alternative view on the topic that membrane lipids can engage solid surfaces, and the binding intensity leads to cellular activation. I argue from the stands of evolution and biological necessity, as well as the progression of our understanding of cellular membranes and phagocytosis. The effort is to invite debate of the topic from a less familiar yet equally thrilling viewing angle.

Indexed as

Immunity, InnateAdjuvants, ImmunologicAlum CompoundsAnimalsAntigen-Presenting CellsBiological EvolutionCalcium PyrophosphateCell MembraneHumansMembrane LipidsPhagocytesPhagocytosisPhase TransitionReceptors, Pattern RecognitionSignal TransductionSilicon DioxideAdjuvants, ImmunologicAlum Compoundsaluminum sulfateCalcium PyrophosphateMembrane LipidsReceptors, Pattern RecognitionSilicon DioxideUric Acid

Identifiers

PMID22717983
PMCPMC4875360

What OpenQuestion 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 OpenQuestion graph.