Evidence map›Paper›PMID 26358383›Full record

ArticleThe Journal of investigative dermatology2015

Collagen Turnover in Wound Repair--A Macrophage Connection.

Liisa M Nissinen, Veli-Matti Kähäri

Abstract readComment
PubMed Publisher
In one paragraph

Article in The Journal of investigative dermatology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Fluoroquinolone-Mediated Tendinopathy and Tendon Rupture.Pharmaceuticals (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. NanoSHP099-Targeted SHP2 Inhibition Boosts Ly6CAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  7. Review
  8. Macrophages as a therapeutic target to promote diabetic wound healing.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Review
  9. Article
  10. Evaluation of Dermal Toxicity and Wound Healing Activity ofAdvances in pharmacological and pharmaceutical sciences · 2022
    Article
  11. Review
  12. Recent Developments in Extracellular Matrix Remodeling for Fat Grafting.Frontiers in cell and developmental biology · 2021
    Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Liisa M NissinenDepartment of Dermatology, University of Turku, Turku, Finland; Department of Dermatology, Turku University Hospital, Turku, Finland; MediCity Research Laboratory, University of Turku, Turku, Finland.
Veli-Matti KähäriDepartment of Dermatology, University of Turku, Turku, Finland; Department of Dermatology, Turku University Hospital, Turku, Finland; MediCity Research Laboratory, University of Turku, Turku, Finland. Electronic address: veli-matti.kahari@utu.fi.
University of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this issue, Rohani et al. (2015) report on the role of macrophage-derived stromelysin-2 (matrix metalloproteinase (MMP)-10) in promoting the turnover of extracellular matrix (ECM) during cutaneous wound repair. They provide evidence that MMP-10 specifically enhances collagenolytic activity of murine MMP-13 produced by M2-like macrophages. These results emphasize the important role of macrophage-derived MMP-10 in regulating tissue remodeling and scar formation during wound healing.

Indexed as

AnimalsCollagenasesFemaleHumansMaleMatrix Metalloproteinase 10SkinWounds and InjuriesCollagenasesMatrix Metalloproteinase 10

Identifiers

PMID26358383
OpenAlexW2194612341

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.