bFGF was facilely grafted on a PLGA fiber surface in aqueous solution via polydopamine, which maintained fiber properties and bFGF bioactivity.

Retinal fundus photography provides a non-invasive approach for identifying early microcirculatory alterations of chronic diseases prior to the onset of overt clinical complications. Here, we developed neural network models to predict hypertension, hyperglycemia, dyslipidemia, and a range of risk factors from retinal fundus images obtained from a cross-sectional study of chronic diseases in rural areas of Xinxiang County, Henan, in central China. 1222 high-quality retinal images and over 50 measurements of anthropometry and biochemical parameters were generated from 625 subjects. The models in this study achieved an area under the ROC curve (AUC) of 0.880 in predicting hyperglycemia, of 0.766 in predicting hypertension, and of 0.703 in predicting dyslipidemia. In addition, these models can predict with AUC>0.7 several blood test erythrocyte parameters, including hematocrit (HCT), mean corpuscular hemoglobin concentration (MCHC), and a cluster of cardiovascular disease (CVD) risk factors. Taken together, deep learning approaches are feasible for predicting hypertension, dyslipidemia, diabetes, and risks of other chronic diseases.

No abstract

Ginsenoside bioactive compounds, namely, compound K (C-K), compound Mx (C-Mx), and ginsenoside Mc (G-Mc), were the metabolites of ginsenosides Rb 1, Rb 2, Rb 3, and Rc by intestinal microflora of humans or rats, microorganisms, and enzymes, and C-K showed beneficial effects in vitro and in vivo as an antitumoral agent. The objective of this work was to explore an efficient procedure for biotransformation of these bioactive compounds. Thus, a filamentous fungus, Fusarium sacchari, was first obtained from the soil-cultivated ginseng, which was verified to possess a potent capacity of transformation of C-K, C-Mx, and G-Mc. The optimal biotransformation conditions of F. sacchari with C-K, C-Mx, and G-Mc were obtained as follows: transforming temperature, 30 degrees C; transforming time, 6 days; rotary speed, 160 rpm; pH of the medium, 5.5. HPLC analysis indicated that these three bioactive compounds were key metabolites and their structures were confirmed by (1)H and (13)C NMR analysis. Moreover, the in vitro antitumor activities of C-K, C-Mx, and G-Mc and the in vivo antitumor activities of the transformed product mainly containing these compounds were also evaluated. Among C-K, C-Mx, and G-Mc, C-K exhibited the most potent antitumor activities. The in vivo study showed that the transformed products by F. sacchari had much more antitumor activity than those of commonly used ginsenoside Rg3 and Paclitaxel.