Structure-based virtual screening of natural products as potential stearoyl-coenzyme a desaturase 1 (SCD1) inhibitors

Formosanin C inhibits pulmonary metastasis by targeting stearyl CoA desaturase-1

BACKGROUND

Cisplatin (DDP) as the first-line drug has been used in cancer therapy. However, side effects and drug resistance are the challenges of DDP. Disordered lipid metabolism is related to DDP resistance.

STUDY DESIGN

In this study, formosanin C (FC) as the main compound of Rhizoma Paridis saponins (RPS) inhibits pulmonary metastasis by targeting stearyl CoA desaturase-1.

METHODS AND RESULTS

RPS prolonged the survival period of mice, reduced pulmonary metastases and alleviated colon toxicity caused by DDP. FC as the main compound of RPS enhanced the anti-tumor and anti-metastatic effects of DDP. FC decreased the mRNA level of SCD1 and the content of lipid droplets (LDs) in lung cancer cells. Molecular dynamics and isothermal titration calorimetry verified the binding stability and spontaneously between FC and SCD1. SiSCD1 reduced the content of LDs in cell lines and increased mitochondria (mtROS), which was consistent with the results of FC treatment. The combination group decreased DNA repair associated protein as well as DDP resistance markers such as ERCC1 and 53bp1, and increased DNA damage marker like γH2AX, which indirectly confirmed the occurrence of mtROS. In addition, FC combination with DDP also affected epithelial-mesenchymal transition-related protein like VIM and CDH1 in vivo experiments, and thereby inhibited pulmonary metastasis.

CONCLUSION

Our research indicated that the FC as the main compound of RPS targeted the CY2 domain of SCD1, inhibited lipid metabolism in mice, and thereby suppressed cancer metastases. This provided support for use of FC to treat cancer based on lipid metabolism pathway.

SCD1 is the critical signaling hub to mediate metabolic diseases: Mechanism and the development of its inhibitors

Metabolic diseases, featured with dysregulated energy homeostasis, have become major global health challenges. Patients with metabolic diseases have high probability to manifest multiple complications in lipid metabolism, e.g. obesity, insulin resistance and fatty liver. Therefore, targeting the hub genes in lipid metabolism may systemically ameliorate the metabolic diseases, along with the complications. Stearoyl-CoA desaturase 1(SCD1) is a key enzyme that desaturates the saturated fatty acids (SFAs) derived from de novo lipogenesis or diet to generate monounsaturated fatty acids (MUFAs). SCD1 maintains the metabolic and tissue homeostasis by responding to, and integrating the multiple layers of endogenous stimuli, which is mediated by the synthesized MUFAs. It critically regulates a myriad of physiological processes, including energy homeostasis, development, autophagy, tumorigenesis and inflammation. Aberrant transcriptional and epigenetic activation of SCD1 regulates AMPK/ACC, SIRT1/PGC1α, NcDase/Wnt, etc, and causes aberrant lipid accumulation, thereby promoting the progression of obesity, non-alcoholic fatty liver, diabetes and cancer. This review critically assesses the integrative mechanisms of the (patho)physiological functions of SCD1 in metabolic homeostasis, inflammation and autophagy. For translational perspective, potent SCD1 inhibitors have been developed to treat various types of cancer. We thus discuss the multidisciplinary advances that greatly accelerate the development of SCD1 new inhibitors. In conclusion, besides cancer treatment, SCD1 may serve as the promising target to combat multiple metabolic complications simultaneously.

Application of Molecular Simulation Methods in Food Science: Status and Prospects

Molecular simulation methods, such as molecular docking, molecular dynamic (MD) simulation, and quantum chemical (QC) calculation, have become popular as characterization and/or virtual screening tools because they can visually display interaction details that in vitro experiments can not capture and quickly screen bioactive compounds from large databases with millions of molecules. Currently, interdisciplinary research has expanded molecular simulation technology from computer aided drug design (CADD) to food science. More food scientists are supporting their hypotheses/results with this technology. To understand better the use of molecular simulation methods, it is necessary to systematically summarize the latest applications and usage trends of molecular simulation methods in the research field of food science. However, this type of review article is rare. To bridge this gap, we have comprehensively summarized the principle, combination usage, and application of molecular simulation methods in food science. We also analyzed the limitations and future trends and offered valuable strategies with the latest technologies to help food scientists use molecular simulation methods.

Application of Advanced Technologies in Natural Product Research: A Review with Special Emphasis on ADMET Profiling

The successful conversion of natural products (NPs) into lead compounds and novel pharmacophores has emboldened the researchers to harness the drug discovery process with a lot more enthusiasm. However, forfeit of bioactive NPs resulting from an overabundance of metabolites and their wide dynamic range have created the bottleneck in NP researches. Similarly, the existence of multidimensional challenges, including the evaluation of pharmacokinetics, pharmacodynamics, and safety parameters, has been a concerning issue. Advancement of technology has brought the evolution of traditional natural product researches into the computer-based assessment exhibiting pretentious remarks about their efficiency in drug discovery. The early attention to the quality of the NPs may reduce the attrition rate of drug candidates by parallel assessment of ADMET profiling. This article reviews the status, challenges, opportunities, and integration of advanced technologies in natural product research. Indeed, emphasis will be laid on the current and futuristic direction towards the application of newer technologies in early-stage ADMET profiling of bioactive moieties from the natural sources. It can be expected that combinatorial approaches in ADMET profiling will fortify the natural product-based drug discovery in the near future.