Evidence map›Paper›PMID 40290726›Full record

ArticleAPL bioengineering2025

Programmed wound healing in aged skin may be enhanced by mesenchymal cell loaded gene-activated scaffolds.

Priya Das, Martin Maresch, Nigamananda Dey, Noof Sulaiman, Amr Gamal Ashour, Hamad M Ammar, Mohammed Basem, Mohammed A Al Muharraqi, Matthew McGrath, Melvin Varghese Jacob and 2 more

Abstract read
In one paragraph

Article in APL bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

12 authors.

Priya DasTERG Bahrain, School of Postgraduate Studies and Research, Royal College of Surgeons in Ireland, Manama, Kingdom of Bahrain.ORCID https://orcid.org/0000-0003-2510-1580
Martin MareschRMS Royal Medical Services, Riffa, Kingdom of Bahrain.ORCID https://orcid.org/0000-0002-0339-5330
Nigamananda DeyRMS Royal Medical Services, Riffa, Kingdom of Bahrain.ORCID https://orcid.org/0009-0002-2432-458X
Noof SulaimanTERG Bahrain, School of Postgraduate Studies and Research, Royal College of Surgeons in Ireland, Manama, Kingdom of Bahrain.ORCID https://orcid.org/0009-0000-2799-4226
Amr Gamal AshourRMS Royal Medical Services, Riffa, Kingdom of Bahrain.
Hamad M AmmarRMS Royal Medical Services, Riffa, Kingdom of Bahrain.ORCID https://orcid.org/0000-0002-1098-5419
Mohammed BasemRMS Royal Medical Services, Riffa, Kingdom of Bahrain.
Mohammed A Al MuharraqiRMS Royal Medical Services, Riffa, Kingdom of Bahrain.ORCID https://orcid.org/0000-0001-8417-8305
Matthew McGrathTissue Engineering Research Group, Department of Anatomy, Royal College of Surgeons in Ireland, Dublin, Ireland.ORCID https://orcid.org/0000-0002-0607-5877
Melvin Varghese JacobCharis Veterinary Clinic, Budaiya, Kingdom of Bahrain.ORCID https://orcid.org/0009-0006-2797-5440
Fergal J O'Brien

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aging can prolong the wound healing and is associated with decline in stem cells, delays in cellular migration, and lower vascularization. Tissue engineering has largely evolved to incorporate advanced three-dimensional wound dressings, scaffolds, and hydrogels that may be seeded with mesenchymal stromal cells (MSCs) to foster an environment conducive to regeneration and enhance the healing process. The effectiveness of stem cell-seeded scaffolds can be improved by incorporating activating agents such as nucleic acids resulting in gene-activated scaffolds (GAS), thereby facilitating targeted wound healing in aged patients. In this study, we assess the

Identifiers

PMID40290726
PMCPMC12033048

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Registered trials

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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.