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Recently, the healing of chronic wounds such as extensive burns has become a serious and intractable clinical problem. Avoiding wound infection and retaining an appropriate level of moisture around wounds are significant challenges in wound care. Herein, a dual-network hydrogel composed of sodium alginate (SA) and platelet-rich plasma (PRP) was designed to facilitate the wound healing. The preparation of hydrogel was achieved through a simple one-step thrombin activation process. The morphological characterization results revealed the three-dimensional network structure of the hydrogel. Then, certain levels of epidermal growth factor (EGF) and vascular endothelial growth factor (VEGF) were detected in phosphate buffer solution (PBS) cultured hydrogel, which led to the possibility of cell proliferation and vascular regeneration. When topically applied to the wound skin of rats, the hydrogel presented high wound closure effectiveness. In conclusion, this strategy provides a simple and feasible approach to overcoming the shortcomings of conventional wound dressings.

Background Secretory leukocyte protease inhibitor (SPLI) was a secreted protein which belongs to a member of whey acidic protein four-disulfide core family. In breast cancer (BC) it may inhibit cell proliferation and promote cancer metastasis. In this study, a comprehensive bioinformatics analysis was performed to identify the expression and prognostic value of SLPI in breast cancer. Methods SLPI expression in breast cancer was analyzed in Oncomine online database, which was subsequently confirmed by quantitative PCR (qPCR) in 18 BC samples and western blotting in 26 BC samples. Breast cancer gene-expression miner v4.1 was used to access the expression level with clinicopathological parameters in breast cancer patients. The prognostic values of SLPI in breast cancer were evaluated using the PrognoScan database. Results Our results indicated that SLPI was downregulated in breast cancer than in normal tissues. SLPI expression was found to be negatively correlated with estrogen receptor (ER) and progesterone receptor (PR) status. SLPI expression level was decreased in negative basal-like status patients compared with positive basal-like status. Meanwhile, triple-negative breast cancer status positive correlated with SLPI. We confirmed a positive correlation between SLPI and interleukin 17 receptor B (IL17RB) express in breast cancer tissues via oncomine co-expression analysis. Ten proteins: Elastase, Granulin, Lipocalin, Defensin beta 103B, Defensin beta 103A, Tubulin, Heparin-binding EGF-like growth factor, Interleukin 6, Epidermal growth factor, Phospholipid scramblase 1 were determinate interactions with SLPI by STRING. Conclusion SLPI could as a biomarker to predict the prognosis values of breast cancer. However, further comprehensive study and mining more evidence are needed to clarify our results.