In addition to its anticancer action, regulation of the uterus, neuroprotective effects, etc. the pharmacokinetic properties of stachydrine are also discussed. Type 1 diabetes (T1D) is a lethal autoimmune disease afflicting as many as 10 million people worldwide. Considerable advances have been made in early diagnosis and understanding the cause of T1D development. However, new remedies are still in great demand as TID remains an incurable disease. Natural products, primarily phytochemicals, are an extraordinary source of discovery of drug leads for diabetes. This review covers recent findings regarding plant compounds and extracts for T1D based on a literature search of articles published between 2004-2019 in PubMed, Reaxyx, and America/European patent databases. Over this period more than 90 plant compounds and extracts were reported to have beneficial effects on T1D via multiple mechanisms involving the regulation of immunity and/or β cells. In this review, we focus on recent progress in the understanding of the chemistry (chemical structure and plant source), anti-diabetic bioactivities, and likely mechanisms of action of plant compounds for T1D. Mechanistic studies are summarized, which indicate that flavonoids, terpenoids, and anthranoids can inhibit starch-digesting enzymes, aldose reductase, MAP kinases, NFκB, and/or IκB kinases implicated in energy metabolism, β-cells, and immunity. Furthermore, human clinical trials centering on flavonoids, isoflavonoids, terpenoids, stilbenoids, and polyynes are discussed, and an overview of emerging anti-diabetic strategies using plant compounds and extracts for applications in T1D prophylaxis and therapy is also provided. BACKGROUND The classification of benign versus malignant breast lesions on multi-sequence Magnetic Resonance Imaging (MRI) is a challenging task since breast lesions are heterogeneous and complex. Recently, deep learning methods have been used for breast lesion diagnosis with raw image input. However, without the guidance of domain knowledge, these data-driven methods cannot ensure that the features extracted from images are comprehensive for breast cancer diagnosis. Specifically, these features are difficult to relate to clinically relevant phenomena. PURPOSE Inspired by the cognition process of radiologists, we propose a Knowledge-driven Feature Learning and Integration (KFLI) framework, to discriminate between benign and malignant breast lesions using Multi-sequences MRI. METHODS Starting from sequence division based on characteristics, we use domain knowledge to guide the feature learning process so that the feature vectors of sub-sequence are constrained to lie in characteristic-related semantic space. Then, different deep networks are designed to extract various sub-sequence features. Furthermore, a weighting module is employed for the integration of the features extracted from different sub-sequence images adaptively. RESULTS The KFLI is a domain knowledge and deep network ensemble, which can extract sufficient and effective features from each sub-sequence for a comprehensive diagnosis of breast cancer. Experiments on 100 MRI studies have demonstrated that the KFLI achieves sensitivity, specificity, and accuracy of 84.6%, 85.7% and 85.0%, respectively, which outperforms other state-of-the-art algorithms. Hydrogels are effective platforms for use as artificial extracellular matrices, cell carriers, and to present bioactive cues. Two common natural polymers, fibrin and alginate, are broadly used to form hydrogels and have numerous advantages over synthetic materials. Fibrin is a provisional matrix containing native adhesion motifs for cell engagement, yet the interplay between mechanical properties, degradation, and gelation rate is difficult to decouple. Conversely, alginate is highly tunable yet bioinert and requires modification to present necessary adhesion ligands. To address these challenges, we developed a fibrin-alginate interpenetrating network (IPN) hydrogel to combine the desirable adhesion and stimulatory characteristics of fibrin with the tunable mechanical properties of alginate. We tested its efficacy by examining capillary network formation with entrapped co-cultures of mesenchymal stromal cells (MSCs) and endothelial cells (ECs). We manipulated thrombin concentration and alginate crosslinking dhe complex native adhesion motifs and ligands known to encourage cell engagement with the hydrogel. In this study, we describe a fibrin-alginate interpenetrating network (IPN) hydrogel designed to balance the compliance and provisional qualities of fibrin with the mechanical stability and tunability of alginate to interrogate these contributions on cell response. We used clinically relevant cell sources, a co-culture of endothelial cells and mesenchymal stromal cells, to test its efficacy in supporting capillary formation in vitro.  https://www.selleckchem.com/products/puromycin-aminonucleoside.html  These data demonstrate the promise of this IPN for use in tissue engineering. Prolyl 3-hydroxylation is a rare collagen type I post translational modification in fibrillar collagens. The primary 3Hyp substrate sites in type I collagen are targeted by an endoplasmic reticulum (ER) complex composed by cartilage associated protein (CRTAP), prolyl 3-hydroxylase 1 (P3H1) and prolyl cis/trans isomerase B, whose mutations cause recessive forms of osteogenesis imperfecta with impaired levels of α1(I)3Hyp986. The absence of collagen type I 3Hyp in wild type zebrafish provides the unique opportunity to clarify the role of the complex in vertebrate. Zebrafish knock outs for crtap and p3h1 were generated by CRISPR/Cas9. Mutant fish have the typical OI patients' reduced size, body disproportion and altered mineralization. Vertebral body fusions, deformities and fractures are accompanied to reduced size, thickness and bone volume. Intracellularly, collagen type I is overmodified, and partially retained causing enlarged ER cisternae. In the extracellular matrix the abnormal collagen type I assembles in disorganized fibers characterized by altered diameter. The data support the defective chaperone role of the 3-hydroxylation complex as the primary cause of the skeletal phenotype. V.