Evidence map›Paper›PMID 41233777›Full record

ArticleJournal of translational medicine2025

Human collagen III mRNA therapy for effective skin rejuvenation.

Jiamin Zhang, Shuqi Chen, Jiaqi Yang, Lianhao Song, Linfeng Chen, Wei Feng, Rong Ju, Zhi Xie

Abstract read
In one paragraph

Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Jiamin Zhang *State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Shuqi Chen *State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Jiaqi YangState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Lianhao SongState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Linfeng ChenState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Wei FengState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Rong JuState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China.
Zhi XieState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Guangdong Provincial Key Laboratory of Ophthalmology and Visual Science, Sun Yat-sen University, Guangzhou, 510060, China. zhi.xie@outlook.com.ORCID 0000-0002-5589-4836

Funding

Key-Area Research and Development Program of Guangdong Province 2023B1111020006National Natural Science Foundation of China 32470705Science and Technology Program of Guangzhou, China 2025A03J3990
6 · The paper itself

Abstract

backgroundSkin photoaging leads to the deterioration of dermal collagen and overall skin integrity, resulting in visible signs of aging, particularly around the eye. Collagen III plays a pivotal role in maintaining skin elasticity and facilitating proper collagen fibril organization. Messenger RNA (mRNA)-based therapeutics present a novel alternative for addressing these limitations by enabling the localized production of full-length, biologically active proteins.

methodsThis study evaluates the therapeutic effects of human collagen III (hCOL3A1) mRNA on UVB-induced skin photoaging using in vitro and in vivo models. In vitro, human fibroblasts were used to assess oxidative stress, senescence, apoptosis, proliferation, and migration. In vivo, a UVB-induced murine photoaging model was used to assess skin barrier function, dermal thickness, collagen content, and senescence markers were analyzed post-treatment. Transcriptome analysis was conducted to explore gene expression changes and key pathways involved in photoaging and repair mechanisms.

resultsOur findings demonstrate that hCOL3A1 mRNA reduces oxidative stress, senescence, apoptosis and promotes cell proliferation and migration in a photoaging cell model. In a murine photoaging model, hCOL3A1 mRNA significantly improves skin barrier function, enhances dermal thickness, restores collagen content, improves dermal structure, and reduces cellular senescence markers without inducing systemic toxicity or immunogenicity. Transcriptome analyses reveal that hCOL3A1 mRNA reverses UVB-induced gene expression changes, reinstating critical signaling pathways for skin homeostasis and fibroblast function.

conclusionsThese results highlight hCOL3A1 mRNA as a promising therapeutic candidate for skin photoaging and underscore the potential of mRNA-based therapies in dermatology and regenerative medicine.

Indexed as

Collagen Type IIIRejuvenationRNA, MessengerSkinSkin AgingAnimalsApoptosisCell MovementCell ProliferationCellular SenescenceFibroblastsHumansMiceOxidative StressUltraviolet RaysCollagen Type IIIRNA, MessengerCollagenDermatologyFibroblastsLipid nanoparticlesmRNA therapySkin agingUV irradiation

Identifiers

PMID41233777
PMCPMC12616958

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.