Evidence map›Paper›PMID 23969736›Full record

ReviewNature reviews. Immunology2013

Metalloproteinases and their natural inhibitors in inflammation and immunity.

Rama Khokha, Aditya Murthy, Ashley Weiss

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 265 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
265citing papers in PubMed, 2 pooled it
20.4field-weighted citation impact, top 1% 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

265 citing papers in PubMed, 2 syntheses or guidelines pooled it, 541 citations in OpenAlex.

  1. High IntratumoralInternational journal of molecular sciences · 2026
    Pooled it
  2. Pooled it
  3. Trial
  4. Trial
  5. Glial cells in neuropathic pain.Physiological reviews · 2026
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

205 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 at 2 institutions in 1 country.

Rama KhokhaOntario Cancer Institute, Princess Margaret Hospital, 610 University Avenue, Toronto, Ontario M5P 1H6, Canada. rkhokha@uhnres.utoronto.ca
Aditya Murthy
Ashley Weiss
Princess Margaret Cancer Centre · CAOntario Institute for Cancer Research · CA

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

Over the past 50 years, steady growth in the field of metalloproteinase biology has shown that the degradation of extracellular matrix components represents only a fraction of the functions performed by these enzymes and has highlighted their fundamental roles in immunity. Metalloproteinases regulate aspects of immune cell development, effector function, migration and ligand-receptor interactions. They carry out ectodomain shedding of cytokines and their cognate receptors. Together with their endogenous inhibitors TIMPs (tissue inhibitor of metalloproteinases), these enzymes regulate signalling downstream of the tumour necrosis factor receptor and the interleukin-6 receptor, as well as that downstream of the epidermal growth factor receptor and Notch, which are all pertinent for inflammatory responses. This Review discusses the metalloproteinase family as a crucial component in immune cell development and function.

Indexed as

Adaptive ImmunityAnimalsHumansImmunity, InnateInflammationMatrix MetalloproteinasesTissue Inhibitor of MetalloproteinasesMatrix MetalloproteinasesTissue Inhibitor of Metalloproteinases

Identifiers

PMID23969736
OpenAlexW2171476567

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.