Evidence map›Paper›PMID 29086200›Full record

ReviewJournal of cell communication and signaling2018

Periostin function in communication with extracellular matrices.

Akira Kudo, Isao Kii

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of cell communication and signaling, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

65 citing papers in PubMed, 100 citations in OpenAlex.

  1. Article
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  7. Review
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  11. Interactions between cancer-associated fibroblasts and the extracellular matrix in oesophageal cancer.Matrix biology : journal of the International Society for Matrix Biology · 2025
    Review
  12. Review
  13. Review
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  15. Article
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  17. Review
  18. Targeted Antisense Oligonucleotide-Mediated Skipping of MurineInternational journal of molecular sciences · 2024
    Article
  19. Article
  20. Article

5 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

2 authors at 1 institution in 1 country.

Akira KudoInternational Frontier, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo, 152-8550, Japan. akudo@bio.titech.ac.jp.
Isao KiiCommon Facilities Unit, Integrated Research Group, Compass to Healthy Life Research Complex Program, RIKEN Cluster for Science and Technology Hub, 6-7-3 Minatojima-minamimachi, Chūō-ku, Kobe, Hyogo, 650-0047, Japan.
Tokyo Institute of Technology · JP

Funding

Japan Agency for Medical Research and Development P-CREATE
6 · The paper itself

Abstract

Periostin is a secretory protein with a multi-domain structure, comprising an amino-terminal cysteine-rich EMI domain, four internal FAS 1 domains, and a carboxyl-terminal hydrophilic domain. These adjacent domains bind to extracellular matrix proteins (type I collagen, fibronectin, tenascin-C, and laminin γ2), and BMP-1 that catalyzes crosslinking of type I collagen, and proteoglycans, which play a role in cell adhesion. The binding sites on periostin have been demonstrated to contribute to the mechanical strength of connective tissues, enhancing intermolecular interactions in close proximity and their assembly into extracellular matrix architectures, where periostin plays further essential roles in physiological maintenance and pathological progression. Furthermore, periostin also binds to Notch 1 and CCN3, which have functions in maintenance of stemness, thus opening up a new field of periostin action.

Indexed as

BMP-1CCN3CollagenECMEMIFAS 1FibronectinPeriostinTenascin

Identifiers

PMID29086200
PMCPMC5842185
OpenAlexW2765091867

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.