Evidence map›Paper›PMID 40210731›Full record

ArticleScientific reports2025

Hyaluronic acid modified chuanxiong oil liposomes as a novel therapeutic agent for photoaging prevention.

Xiaofang He, Yue Hu, Yuanyuan Wu, Yuting Luo, Huiyi Feng, Qianqian Wu, Haolin Liu, Leying Gao, Haofeng Yang, Yu Long and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Pharmaceutics · 2026
    Article
  2. Article
  3. Seed Oil ofInternational journal of molecular sciences · 2026
    Article
  4. 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

15 authors.

Xiaofang He *State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Yue Hu *State Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Yuanyuan WuState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Yuting LuoState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Huiyi FengState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Qianqian WuState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Haolin LiuState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Leying GaoState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Haofeng YangState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Yu LongState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Yin MaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Xiaoqiu LiState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Jie DengState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China.
Yuntong MaState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China. mayuntong@cdutcm.edu.cn.
Nan LiState Key Laboratory of Southwestern Chinese Medicine Resources, School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, People's Republic of China. 55743198@qq.com.

Funding

Talent Program of the State Administration of Traditional Chinese Medicine T20194828003the Innovative Research Group Program of Sichuan Provincial Natural Science Foundation 2023NSFSC1997the Scientific Research Enhancement Program for the "Apricot Grove Scholars" of Chengdu University of Traditional Chinese Medicine QJJJ2022014
6 · The paper itself

Abstract

The gradual increase in ultraviolet B (UVB) health hazards to human skin, coupled with the irritation associated with existing sunscreen products, underscores the critical need for the development of natural sunscreens to combat UVB-induced photoaging. Chuanxiong oil (CXO) and hyaluronic acid (HA) possess excellent antioxidant and anti-apoptotic properties, which are closely linked to the mechanisms of photoaging. In this study, a composite nano-system (HA-CXO-Lip) comprising chuanxiong oil (CXO) and hyaluronic acid (HA) was initially fabricated. Subsequently, both in vitro HaCaT cell models and in vivo murine photoaging models were established to systematically evaluate the therapeutic efficacy and mechanistic actions of HA-CXO-Lip against photoaging under controlled experimental conditions. The investigation encompassed comprehensive assessments of its pharmacological effects and underlying molecular mechanisms through multimodal experimental approaches. Vitro experiments showed HA-CXO-Lip significantly reduced intracellular reactive oxygen species (ROS) levels and senescence-associated β-galactosidase (SA-β-Gal) activity. Furthermore, HA-CXO-Lip restored the levels of antioxidant enzymes, including superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), catalase (CAT), and hydroxyproline (HYP), while also decreasing the levels of lipid metabolites such as 4-hydroxynonenal (4-HNE) and malondialdehyde (MDA). These findings indicate that HA-CXO-Lip effectively inhibits excessive oxidative stress. Additionally, HA-CXO-Lip inhibited apoptosis by reducing Bax levels and enhancing Bcl-2 expression in HaCaT cells. In vivo studies demonstrated that HA-CXO-Lip significantly reduced UVB irradiation-induced erythema and epidermal thickening in the backs of mice. It restored the orderly arrangement of collagen fibers and inhibited the activation of the core senescence pathway, AKT/mTOR, along with the downstream expression of matrix metalloproteinase 9 (MMP9), resulting in a decrease in collagen I disassembly. Additionally, HA-CXO-Lip was shown to significantly decrease the number of apoptotic cells, as indicated by the expression of the apoptosis marker cleaved cysteine aspartic protease-3 (C-Caspase-3) and the surface type I transmembrane glycoprotein (CD44), thereby further inhibiting apoptosis. The findings of this study suggest that HA-CXO-Lip can exert anti-photoaging effects through its antioxidant and anti-apoptotic properties, highlighting the synergistic efficacy of CXO and HA, which holds promise for the prevention and treatment of photoaging.

Indexed as

Hyaluronic AcidLiposomesPlant OilsSkin AgingAnimalsAntioxidantsApoptosisCell LineHaCaT CellsHumansMiceOxidative StressReactive Oxygen SpeciesSkinUltraviolet RaysAntioxidantsHyaluronic AcidLiposomesPlant OilsReactive Oxygen SpeciesApoptosisChuanxiong oilHaCaT cellsHyaluronic acidLiposomesOxidative stressPhotoagingUVB

Identifiers

PMID40210731
PMCPMC11985960

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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.