Given worldwide increases in the incidence of obesity and type 2 diabetes, new strategies for preventing and treating metabolic diseases are needed. The nuclear receptor PPARγ (peroxisome proliferator-activated receptor gamma) plays a central role in lipid and glucose metabolism; however, current PPARγ-targeting drugs are characterized by undesirable side effects. Natural products from edible biomaterial provide a structurally diverse resource to alleviate complex disorders via tailored nutritional intervention. We identified a family of natural products, the amorfrutins, from edible parts of two legumes, Glycyrrhiza foetida and Amorpha fruticosa, as structurally new and powerful antidiabetics with unprecedented effects for a dietary molecule. Amorfrutins bind to and activate PPARγ, which results in selective gene expression and physiological profiles markedly different from activation by current synthetic PPARγ drugs. In diet-induced obese and db/db mice, amorfrutin treatment strongly improves insulin resistance and other metabolic and inflammatory parameters without concomitant increase of fat storage or other unwanted side effects such as hepatoxicity. These results show that selective PPARγ-activation by diet-derived ligands may constitute a promising approach to combat metabolic disease.nuclear receptors | nutrition | compound screening | organic synthesis | x-ray structure

Aims/hypothesis The nuclear receptor peroxisome proliferatoractivated receptor gamma (PPARγ) is an important gene regulator in glucose and lipid metabolism. Unfortunately, PPARγ-activating drugs of the thiazolidinedione class provoke adverse side effects. As recently shown, amorfrutin A1 is a natural glucose-lowering compound that selectively modulates PPARγ. In this study we aimed to characterise, in vitro, a large spectrum of the amorfrutins and similar molecules, which we isolated from various plants. We further studied in vivo the glucose-lowering effects of the so far undescribed amorfrutin B, which featured the most striking PPARγ-binding and pharmacological properties of this family of plant metabolites. Methods Amorfrutins were investigated in vitro by binding and cofactor recruitment assays and by transcriptional activation assays in primary human adipocytes and murine preosteoblasts, as well as in vivo using insulin-resistant high-fat-diet-fed C57BL/6 mice treated for 27 days with 100 mg kg −1 day −1 amorfrutin B. Results Amorfrutin B showed low nanomolar binding affinity to PPARγ, and micromolar binding to the isotypes PPARα and PPARβ/δ. Amorfrutin B selectively modulated PPARγ activity at low nanomolar concentrations. In insulinresistant mice, amorfrutin B considerably improved insulin sensitivity, glucose tolerance and blood lipid variables after several days of treatment. Amorfrutin B treatment did not induce weight gain and furthermore showed liver-protecting properties. Additionally, amorfrutins had no adverse effects on osteoblastogenesis and fluid retention. Conclusions/interpretation The application of plant-derived amorfrutins or synthetic analogues thereof constitutes a promising approach to prevent or treat complex metabolic diseases such as insulin resistance or type 2 diabetes.

A natural product collection and natural-product-derived combinatorial libraries were virtually screened for potential inhibitors of human 5-lipoxygenase (5-LO) activity. We followed a sequential ligand-based approach in two steps. First, similarity searching with a topological pharmacophore descriptor (CATS 2D method) was performed to enable scaffold-hopping. Eighteen compounds were selected from a virtual hit list of 430 substances, which had mutual pharmacophore features with at least one of 43 known 5-LO inhibitors that served as query structures. Two new chemotypes exhibited significant activity in a cell-based 5-LO activity assay. The two most potent molecules served as seed structures for a second virtual screening round. This time, a focused natural-product-derived combinatorial library was analyzed by different ligand-based virtual screening methods. The best molecules from the final set of screening candidates potently suppressed 5-LO activity in intact cells and may represent a novel class of 5-LO inhibitors. The results demonstrate the potential of natural-product-derived screening libraries for hit and lead structure identification.

PURPOSE Intraarterial delivery of chemotherapeutic agents offers a new and exciting opportunity for the treatment of advanced intraocular retinoblastoma. It allows local delivery of relatively high doses of chemo agents while bypassing general blood circulation. For this reason we sought to revisit some of the FDA approved drugs for the treatment of retinoblastoma. METHODS High throughput screening (HTS) of 2,640 approved drugs and bioactive compounds resulted in the identification of cytotoxic agents with potent activity toward both the Y79 and RB355 human retinoblastoma cell lines. Subsequent profiling of the drug candidates was performed in a panel of ocular cancer cell lines. Induction of apoptosis in Y79 cells was assessed by immunofluorescence detection of activated Caspase-3. Therapeutic effect was evaluated in a xenograft model of retinoblastoma. RESULTS We have identified several FDA approved drugs with potent cytotoxic activity toward retinoblastoma cell lines in vitro. Among them were several cardiac glycosides, a class of cardenolides historically associated with the prevention and treatment of congestive heart failure. Caspase-3 activation studies provided an insight into the mechanism of action of cardenolides in retinoblastoma cells. When tested in a xenograft model of retinoblastoma, the cardenolide ouabain induced complete tumor regression in the treated mice. CONCLUSIONS We have identified cardenolides as a new class of antitumor agents for the treatment of retinoblastoma. We propose that members of this class of cardiotonic drugs could be repositioned for retinoblastoma if administered locally via direct intraarterial infusion.

Advanced kernel‐based machine learning methods enable the identification of innovative bioactive compounds with minimal experimental effort. Comparative virtual screening revealed that nonlinear models of the underlying structure–activity relationship are necessary for successful compound picking. In a proof‐of‐concept study a novel truxillic acid derivative was found to selectively activate transcription factor PPARγ.