Sivelestat Alleviates Atherosclerosis by Improving Intestinal Barrier Function and Reducing Endotoxemia.

Emerging evidence suggests that atherosclerosis, one of the leading phenotypes of cardiovascular diseases, is a chronic inflammatory disease. During the atherosclerotic process, immune cells play critical roles in vascular inflammation and plaque formation. Meanwhile, gastrointestinal disorder is considered a risk factor in mediating the atherosclerotic process. The present study aimed to utilize sivelestat, a selective inhibitor of neutrophil elastase, to investigate its pharmacological benefits on atherosclerosis and disclose the gastrointestinal-vascular interaction. The activation of intestinal neutrophil was increased during atherosclerotic development in Western diet-fed ApoE-/- mice. Administration of sivelestat attenuated atherosclerotic phenotypes, including decreasing toxic lipid accumulation, vascular monocyte infiltration, and inflammatory cytokines. Sivelestat decreased intestinal permeability and endotoxemia in atherosclerotic mice. Mechanistically, sivelestat upregulated the expression of zonula occludens-1 in the atherosclerotic mice and recombinant neutrophil elastase protein-treated intestinal epithelial cells. Meanwhile, treatment of sivelestat suppressed the intestinal expression of inflammatory cytokines and NF-κB activity. In contrast, administration of lipopolysaccharides abolished the anti-atherosclerotic benefits of sivelestat in the Western diet-fed ApoE-/- mice. Further clinical correlation study showed that the circulating endotoxin level and intestinal neutrophil elastase activity were positively correlated with carotid intima-medial thickness in recruited subjects. In conclusion, sivelestat had pharmacological applications in protection against atherosclerosis, and intestinal homeostasis played one of the critical roles in atherosclerotic development.

Revolutionizing Membrane Design Using Machine Learning-Bayesian Optimization.

Polymeric membrane design is a multidimensional process involving selection of membrane materials and optimization of fabrication conditions from an infinite candidate space. It is impossible to explore the entire space by trial-and-error experimentation. Here, we present a membrane design strategy utilizing machine learning-based Bayesian optimization to precisely identify the optimal combinations of unexplored monomers and their fabrication conditions from an infinite space. We developed ML models to accurately predict water permeability and salt rejection from membrane monomer types (represented by the Morgan fingerprint) and fabrication conditions. We applied Bayesian optimization on the built ML model to inversely identify sets of monomer/fabrication condition combinations with the potential to break the upper bound for water/salt selectivity and permeability. We fabricated eight membranes under the identified combinations and found that they exceeded the present upper bound. Our findings demonstrate that ML-based Bayesian optimization represents a paradigm shift for next-generation separation membrane design.

Notch pathway is involved in the suppression of colorectal cancer by embryonic stem cell microenvironment.

Objectives: Recently, embryonic microenvironment is being known for its non-permissive property for tumor growth. However, the regulatory mechanism to maintain the balance between differentiation and tumorigenicity of cancer cell in microenvironment is not well understood. Materials and Methods: qRT-PCR was performed to detect the levels of gene expression in HT29, LoVo and Caco-2 colorectal cancer cells, and Western blot was used to measure the protein levels. Cell migration and apoptosis were measured by Transwell and flow cytometry assays. Cancer cell markers were detected using immunohistochemical staining. In vivo tumor formation assay was conducted by subcutaneous injection of embryonic microenvironment-treated cancer cells. Results: Colorectal cancer cell lines were treated with human embryonic stem cell conditioned culture and then collected for in vivo tumor formation assay and in vitro assays assessing the aggressive properties. We found exposure of cancer cells in human ES cultures resulted in inhibition of growth, migration of tumor cells. Moreover, we found that manipulation of Notch pathway in the ES cells microenvironment could influence the stemness of tumor. We specifically discovered that some factor in the embryonic microenvironment could suppress Notch1 pathway in the cancer cells, leading to a reduction in tumorigenesis and invasiveness. Conclusions: This study may provide another evidence to understand the crosstalk between tumor cells and embryonic environment and may offer new therapeutic strategies to inhibit colorectal cancer progression.

A linearly convergent first-order algorithm for total variation minimisation in image processing.

We introduce a new formulation for total variation minimisation in image denoising. We also present a linearly convergent first-order method for solving this reformulated problem and show that it possesses a nearly dimension-independent iteration complexity bound.