Circular RNA circUBR4 regulates ox-LDL-induced proliferation and migration of vascular smooth muscle cells through miR-185-5p/FRS2 axis.

Circular RNAs (circRNAs) have been reported to play vital roles in atherosclerosis. However, the precise roles of circUBR4 in atherosclerosis remain unclear. The purpose of this study is to investigate the regulatory roles of circUBR4 in atherosclerosis. The expression levels of circUBR4, miR-185-5p, and Fibroblast growth factor receptor substrate 2 (FRS2) were analyzed by real-time quantitative polymerase chain reaction (RT-qPCR) assay. Human vascular smooth muscle cells (VSMCs) were treated with oxidized low-density lipoprotein (ox-LDL) to mimic atherosclerosis condition in vitro. Cell proliferation was determined by 3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyl-2H-tetrazol-3-ium bromide (MTT), colony-forming, and 5-ethynyl-2'-deoxyuridine (EdU) assays. Wound healing and transwell assays were used to assess cell migration. The interaction relationship between miR-185-5p and circUBR4 or FRS2 was confirmed by dual-luciferase reporter and RNA pull-down assays. CircUBR4 was overexpressed in atherosclerosis patients and VSMCs treated with ox-LDL, and the knockdown of circUBR4 abolished ox-LDL-induced enhanced effects on the proliferation and migration of VSMCs. MiR-185-5p, interacted with FRS2, was a target of circUBR4 in VSMCs. The silencing of miR-185-5p reversed the effects caused by circUBR4 knockdown on ox-LDL-induced VSMCs. In addition, overexpression of miR-185-5p suppressed the proliferation and migration of VSMCs by targeting FRS2. CircUBR4 contributed to ox-LDL-induced VSMC proliferation and migration through up-regulating FRS2 via miR-185-5p.

Retraction of: A005, a novel inhibitor of phosphatidylinositol 3-kinase/mammalian target of rapamycin, prevents osteosarcoma-induced osteolysis.

Osteosarcoma is the most frequent primary bone tumor in children and adolescents. The phosphatidylinositol 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) signaling pathway is an attractive anticancer target because it plays key roles in the regulation of cell growth, division and differentiation. In this study, we demonstrated high expression of PI3K/mTOR signaling pathway-related genes in patients with osteosarcoma. We thus investigated the effects of A005, a newly synthesized dual PI3K/mTOR inhibitor, on osteosarcoma cells and in a mouse xenograft tumor model. The results confirmed that A005 inhibited the proliferation, migration and invasion of human osteosarcoma cells. In addition, A005 also inhibited receptor activator of nuclear factor kappa-B ligand (RANKL)-induced osteoclast differentiation and bone resorption in vitro. Therefore, A005 was further applied to a SaOS-2 osteosarcoma-induced mouse osteolysis model. A005 inhibited tumor growth and prevented osteosarcoma-associated osteolysis via modulation of the PI3K/AKT/mTOR pathway. Overall, our results showed that A005 inhibited osteoclastogenesis and prevented osteosarcoma-induced bone osteolysis by suppressing PI3K/AKT/mTOR signaling. These findings indicated that A005 may be a promising candidate drug for the treatment of human osteosarcoma.

A fast level set method for inhomogeneous image segmentation with adaptive scale parameter.

It is difficult to segment images in the presence of intensity inhomogeneity due to the overlap of the intensity ranges between different object regions. To deal with this problem, this paper presents a novel level set method to segment inhomogeneous images. Based on the inhomogeneous image model, an optimal segmentation plane is derived in image domain to provide the optimal partition for every pixel. With the plane, a new region-based pressure force function is proposed and used to define an energy functional in the level set formulation on the whole image region. By minimizing the energy functional, the proposed method can segment the inhomogeneous image and estimate the bias field at the same time. Besides, a new bias field initialization is introduced to improve the robustness to the initial contour. In addition, a novel adaptive scale parameter is designed for the kernel function in order to estimate the bias field accurately. The proposed method is first presented as a two-phase level set formulation and then extended to a multi-phase one. Finally, the experimental results on both synthetic and real images demonstrate the superiority of the proposed method in terms of accuracy, efficiency and robustness.