Evidence map›Paper›PMID 41853464›Full record

ArticleJID innovations : skin science from molecules to population health2026

Characterization of cutaneous wound healing in swine.

Hsin-Ya Yang, Kan Zhu, Anthony Gallegos, Cynthia Recendez, Guillermo Villa-Martinez, Ksenia Zlobina, Manasa Kesapragada, Samantha Chan, Juliann Hallum, Moyasar A Alhamo and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in JID innovations : skin science from molecules to population health, 2026. 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. Review
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

16 authors.

Hsin-Ya YangDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.
Kan ZhuDepartment of Ophthalmology and Vision Science, University of California, Davis, Sacramento, California, USA.
Anthony GallegosDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.
Cynthia RecendezDepartment of Ophthalmology and Vision Science, University of California, Davis, Sacramento, California, USA.
Guillermo Villa-MartinezDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.
Ksenia ZlobinaDepartment of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, California, USA.
Manasa KesapragadaDepartment of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, California, USA.
Samantha ChanDepartment of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, California, USA.
Juliann HallumDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.
Moyasar A AlhamoDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.
Athena M SoulikaDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.
Elham AslankoohiDepartment of Electrical Engineering, University of California, Santa Cruz, Santa Cruz, California, USA.
Marco RolandiDepartment of Electrical Engineering, University of California, Santa Cruz, Santa Cruz, California, USA.
Marcella GomezDepartment of Applied Mathematics, University of California, Santa Cruz, Santa Cruz, California, USA.
Min ZhaoDepartment of Ophthalmology and Vision Science, University of California, Davis, Sacramento, California, USA.
R Rivkah IsseroffDepartment of Dermatology, University of California, Davis, Sacramento, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The porcine excisional wound model is widely regarded as the most translationally relevant preclinical platform for studying human skin wound healing owing to its close anatomical and physiological similarity to human skin and thus can inform human studies. We conducted a detailed temporal analysis of wound healing in 6 Yorkshire pigs, each receiving twelve 20-mm full-thickness wounds. Blood, wound images, and biopsies from wound edges and centers were collected from postoperative days 1 to 21. All wounds fully epithelialized by day 21. Histology showed rapid neo-epithelial migration by day 1, with immune profiling through RNA sequencing and CIBERSORTx identifying an early predominance of neutrophils and reparative M2 macrophages. Immunostaining confirmed a progressive M2 shift, with increasing CD68+/Arg1+ cell ratios through day 15. Collagen dynamics revealed short collagen fiber deposition peaking from days 9-19 and transitioning to longer fibers by day 21. PGP9.5 staining demonstrated robust epidermal nerve regeneration from days 3 to 7. These data provide a detailed, multiparameter map of the immune; structural; and neural milestones in porcine wound healing, establishing baseline benchmarks for normal wound repair, supporting the development of machine learning tools for wound assessment.

Indexed as

CollagenMacrophagesRNAseqWound healing

Identifiers

PMID41853464
PMCPMC12992957

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.