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Open access Jul 2026

A liposome–hydrogel composite ameliorates UVB-induced mouse skin photoaging through integrated antioxidant and extracellular matrix remodeling pathways

Abstract Skin photoaging, predominantly caused by chronic ultraviolet B (UVB) exposure, is characterized by oxidative stress, collagen degradation, and disruption of the skin barrier. Deer placenta polypeptides (DPP) are rich in bioactive amino acids (AAs); however, their antioxidant and dermo-protective effects remain insufficiently elucidated, and their topical application is limited by enzymatic instability and poor transdermal permeability. To overcome these limitations, we developed a liposome–hydrogel composite delivery system to enhance the stability, skin penetration, and bioactivity of DPP. DPP obtained via enzymatic hydrolysis exhibited a favorable AA profile, free radical–scavenging activity, and a low molecular weight distribution (3–14 kDa). DPP-loaded liposomes (DPP-LIP) demonstrated high encapsulation efficiency, uniform nanosize, and effective preservation of bioactivity. Incorporation of DPP-LIP into a sodium alginate (SA) hydrogel yielded a composite formulation (DPP-LIP-SA) with sustained-release properties and a 2.7-fold enhancement in transdermal permeation. In a UVB-induced photoaging mouse model, topical administration of DPP-LIP-SA markedly alleviated oxidative stress, inflammatory responses, DNA damage, and extracellular matrix degradation. Mechanistically, DPP-LIP-SA treatment activated the Nrf2/HO-1 antioxidant pathway, inhibited TLR4/MyD88/NF-κB-mediated inflammatory signaling, reduced reactive oxygen species accumulation and lipid peroxidation, and restored extracellular matrix homeostasis by promoting collagen synthesis while suppressing MMP-mediated collagen degradation. Collectively, these findings identify DPP as a potent bioactive peptide resource with intrinsic antioxidant and reparative properties and demonstrate that integration of nanocarriers with hydrogel matrices substantially enhances dermal bioavailability. This composite delivery platform shows strong potential as a peptide-based topical strategy for preventing and treating skin photoaging.

Yifan Liu, Kejia Chen, Jin Pei et al. · 0 citations
Aug 2026

A mitochondria targeting aggregation-induced emission phototheranostic agent for photodynamic synergistic therapy of triple-negative breast cancer.

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, characterized by poor prognosis and high mortality. However, current treatment options remain inadequate, necessitating the urgent development of novel, more effective therapeutic strategies. Here, we utilize amphiphilic DSPE-PEG2000 as a scaffold to co-assemble an anionic π+ self-assembled emission-inducing emitter (photosensitizer, TMP) and an immunostimulant, CpG, via electrostatic adsorption, constructing an effective phototherapeutic diagnostic agent (termed DTC NPs). Notably, the innovatively designed TMP exhibits highly efficient aggregation-induced emission (AIE) properties, mitochondrial targeting capability, effective ROS generation, and low cytotoxicity. Upon 480 nm light irradiation, TMP induces immunogenic cell death (ICD) in tumor cells by generating abundant reactive oxygen species (ROS), thereby enabling photodynamic therapy (PDT). Crucially, intratumoral CpG enrichment stimulates immune factor production, synergistically enhancing ICD effects, promoting dendritic cell (DC) maturation, and facilitating T-cell infiltration. In vivo animal studies demonstrate that the synergistic combination of TMP's PDT activity and CpG's immunotherapeutic effects significantly suppresses tumor growth. Compared to high-dose chemotherapy, it induces more potent immune stimulation and superior therapeutic outcomes against tumors. Furthermore, the combination of DTC NPs with paclitaxel (PTX) markedly enhances therapeutic efficacy. This work represents a promising adjuvant chemotherapy strategy capable of boosting immune activation and therapeutic outcomes against drug-resistant tumors.

Xinhui Zhai, Yifan Liu, Yazixuan Feng et al. · 0 citations

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