Evidence map›Paper›PMID 33404918›Full record

SynthesisMarine biotechnology (New York, N.Y.)2021

Collagen from Marine Sources and Skin Wound Healing in Animal Experimental Studies: a Systematic Review.

Matheus Almeida Cruz, Tiago Akira Araujo, Ingrid Regina Avanzi, Julia Risso Parisi, Ana Laura Martins de Andrade, Ana Claudia Muniz Rennó

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Marine biotechnology (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 10% 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, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.

  1. DoesFrontiers in pharmacology · 2026
    Pooled it
  2. Determining the concentration of golden sea cucumber (Journal of Taibah University Medical Sciences · 2026
    Article
  3. Review
  4. Black Sea-Derived Biomaterials for Wound-Healing Applications.International journal of molecular sciences · 2026
    Article
  5. Collagen from Marine Sources for Potential Application in Wound Treatment.Progress in molecular and subcellular biology · 2026
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Collagen in Wound Healing.Bioengineering (Basel, Switzerland) · 2021
    Review
  19. Article
  20. Article
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

6 authors at 3 institutions in 1 country.

Matheus Almeida CruzDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Lab 342, 136 Silva Jardim Street, Santos, SP, 11015020, Brazil.
Tiago Akira AraujoDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Lab 342, 136 Silva Jardim Street, Santos, SP, 11015020, Brazil.
Ingrid Regina AvanziDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Lab 342, 136 Silva Jardim Street, Santos, SP, 11015020, Brazil.ORCID http://orcid.org/0000-0001-5948-1484
Julia Risso ParisiDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Lab 342, 136 Silva Jardim Street, Santos, SP, 11015020, Brazil.
Ana Laura Martins de AndradeDepartment of Physical Therapy, Federal University of São Carlos (UFSCar), km 235 Washington Luís Road, São Carlos, SP, 13565905, Brazil.
Ana Claudia Muniz RennóDepartment of Biosciences, Federal University of São Paulo (UNIFESP), Lab 342, 136 Silva Jardim Street, Santos, SP, 11015020, Brazil. a.renno@unifesp.br.
Universidade Federal de São Carlos · BRUniversidade Federal de São Paulo · BRSão Paulo State Technological College · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collagen (Col) from marine organisms has been emerging as an important alternative for commercial Col and it has been considered highly attractive by the industry. Despite the positive effects of Col from marine origin, there is still limited understanding of the effects of this natural biomaterial in the process of wound healing in animal studies. In this context, the purpose of this study was to perform a systematic review of the literature to examine the effects of Col from different marine species in the process of skin tissue healing using experimental models of skin wound. The search was carried out according to the orientations of Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA), and the descriptors of the Medical Subject Headings (MeSH) were defined: "marine collagen," "spongin," "spongin," "skin," and "wound." A total of 42 articles were retrieved from the databases PubMed and Scopus. After the eligibility analyses, this review covers the different marine sources of Col reported in 10 different papers from the beginning of 2011 through the middle of 2019. The results were based mainly on histological analysis and it demonstrated that Col-based treatment resulted in a higher deposition of granulation tissue, stimulation of re-epitalization and neoangiogenesis and increased amount of Col of the wound, culminating in a more mature morphological aspect. In conclusion, this review demonstrates that marine Col from different species presented positive effects on the process of wound skin healing in experimental models used, demonstrating the huge potential of this biomaterial for tissue engineering proposals.

Indexed as

AnimalsAquatic OrganismsBiocompatible MaterialsCollagenPeptidesSkinWound HealingBiocompatible MaterialsCollagenPeptidesIn vivo studiesMarine collagenRe-epitalizationTreatment

Identifiers

PMID33404918
OpenAlexW3120551669

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.