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In this paper, a simple and effective method was used to synthesize monodisperse metal Ruthenium nanospheres (Ru-HNSs), and the silicon dioxide (SiO2) nanospheres synthesized by Stober method were used as hard templates. The surface of SiO2 was double modified by γ-aminopropyltriethoxysilane (KH550) and salicylaldehyde, so that Ru3+ grew uniformly on the surface of modified SiO2 and reduced to form a stable and durable layer of Ru metal. Then the hard template SiO2 was corroded by chemical etching to obtain Ru-HNSs hollow spheres. The results show that the diameter of SiO2 microspheres was about 300nm, the wall thickness of Ru-HNSs was about 3nm, and the diameter was about 100nm.

Mucin 4 (MUC4) overexpression promotes tumorigenesis and increases the aggressiveness of pancreatic ductal adenocarcinoma (PDAC). To date, no study has reported the association between radiomics and MUC4 expression in PDAC. Thus, we aimed to explore the utility of radiomics based on multi-sequence magnetic resonance imaging (MRI) to predict the status of MUC4 expression in PDAC preoperatively.This retrospective study included 52 patients with PDAC who underwent MRI. The patients were divided into two groups based on MUC4 expression status. Two feature sets were extracted from the arterial and portal phases (PPs) of dynamic contrast-enhanced MRI (DCE-MRI). Univariate analysis, minimum redundancy maximum relevance (MRMR), and principal component analysis (PCA) were performed for the feature selection of each dataset, and features with a cumulative variance of 90% were selected to develop radiomics models. Clinical characteristics were gathered to develop a clinical model. The selected radiomics features and clinical characteristics were modeled by multivariable logistic regression. The combined model integrated radiomics features from different selected data sets and clinical characteristics. The classification metrics were applied to assess the discriminatory power of the models.There were 22 PDACs with a high expression of MUC4 and 30 PDACs with a low expression of MUC4. The area under the receiver operating characteristic (ROC) curve (AUC) values of the arterial phase (AP) model, the PP model, and the combined model were 0.732 (0.591-0.872), 0.709 (0.569-0.849), and 0.861 (0.760-0.961), respectively. The AUC of the clinical model was 0.666 (0.600-0.682). The combined model that was constructed outperformed the AP, the PP, and the clinical models (P0.05, although no statistical significance was observed in the combined modelRadiomics models based on multi-sequence MRI have the potential to predict MUC4 expression levels in PDAC.

The most recent generation of bioactive substances, autologous concentrated growth factor, is rich in numerous endogenous growth factors, platelets, fibrin, and leukocytes, but its function in fistula repair is unclear. A wound model operation with human feces-contaminated wounds was prepared and ACGF from rats was collected to treat wounds. Besides, rat skin fibroblasts (RSF) were intervened with ACGF, PI3K inhibitor (LY294002), and MEK1/2 inhibitor (PD98059) alone or together. Cell viability, proliferation, cell cycle, migration, and collagen of RSF were estimated via cell counting kit-8, cell cycle assay, EdU staining, scratch assay, and ELISA assay. Extracellular matrix, MEK/ERK, and PI3K/AKT pathway-related markers in RSF were assessed with Western blot assay. ACGF augmented wound healing ability and ameliorated pathological changes but lessened the contents of inflammatory mediators of wound granulation tissue. Also, ACGF advanced proliferation-, vascular growth-related factors, collagen synthesis, and ECM function of granulation tissue and RSF. Furthermore, ACGF advanced the proliferation and migration of RSF through activating MEK/ERK and PI3K/AKT pathways, which was reversed by LY294002 and PD98059, respectively. In summary, ACGF advanced the healing of wounds in rats, and its mechanism might be associated with the aggrandizement of MEK/ERK and PI3K/AKT pathways.