Evidence map›Paper›PMID 29434606›Full record

ReviewFrontiers in immunology2018

Macrophage Recognition of Crystals and Nanoparticles.

Masafumi Nakayama

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

69 citing papers in PubMed, 1 synthesis or guideline pooled it, 164 citations in OpenAlex.

  1. [Pulmonary innate immune response in Sars-cov-2 infection]Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina) · 2022
    Pooled it
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  3. Nanodiamonds Co-Localize withPharmaceutics · 2026
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  14. NanoSHP099-Targeted SHP2 Inhibition Boosts Ly6CAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  15. Macrophage variants in laboratory research: most are well done, but some are RAW.Frontiers in cellular and infection microbiology · 2024
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

9 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

1 author at 1 institution in 1 country.

Masafumi NakayamaFrontier Research Institute for Interdisciplinary Sciences, Tohoku University, Sendai, Japan.
Japan Science and Technology Agency · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Inhalation of exogenous crystals such as silica, asbestos, and carbon nanotubes can cause lung fibrosis and cancer. Endogenous crystals such as monosodium urate, cholesterol, and hydroxyapatite are associated with pathogenesis of gout, atherosclerosis, and osteoarthritis, respectively. These crystal-associated-inflammatory diseases are triggered by the macrophage NLRP3 inflammasome activation and cell death. Therefore, it is important to understand how macrophages recognize crystals. However, it is unlikely that macrophages have evolutionally acquired receptors specific for crystals or recently emerged nanoparticles. Several recent studies have reported that some crystal particles are negatively charged and are recognized by scavenger receptor family members in a charge-dependent manner. Alternatively, a model for receptor-independent phagocytosis of crystals has also been proposed. This review focuses on the mechanisms by which macrophages recognize crystals and nanoparticles.

Indexed as

AnimalsCrystallizationHumansMacrophagesMineralsNanoparticlesReceptors, Cell SurfaceMineralsReceptors, Cell Surfacecrystalsinflammationmacrophagesnanoparticlesphagocytosisscavenger receptors

Identifiers

PMID29434606
PMCPMC5796913
OpenAlexW2793171481

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.