Identification of potential modulators of osteosarcoma metastasis by high-throughput cellular screening of natural products.

A high-throughput screening assay was developed and applied to a large library of natural product extract samples, in order to identify compounds which preferentially inhibited the in vitro 2D growth of a highly metastatic osteosarcoma cell line (MG63.3) compared to a cognate parental cell line (MG63) with low metastatic potential. Evaluation of differentially active natural product extracts with bioassay-guided fractionation led to the identification of lovastatin (IC50  = 11 µm) and the limonoid toosendanin (IC50  = 26 nm). Other statins and limonoids were then tested, and cerivastatin was identified as a particularly potent (IC50  < 0.1 µm) and selective agent. These compounds potently and selectively induced apoptosis in MG63.3 cells, but not MG63. Assays with other cell pairs were used to examine the generality of these results. Statins and limonoids may represent unexplored opportunities for development of modulators of osteosarcoma metastasis. As cerivastatin was previously approved for clinical use, it could be considered for repurposing in osteosarcoma, pending validation in further models.

Weighted gene co-expression network analysis and connectivity map identifies lovastatin as a treatment option of gastric cancer by inhibiting HDAC2.

OBJECTIVE: This study aimed to identifying and validating therapeutic compounds which might have positive effects on patients with gastric cancer (GC) based on weighted gene co-expression network analysis (WGCNA) and connectivity map (CMap). METHODS: We performed WGCNA to gain insights into the molecular aspects of GC. Raw microarray datasets (including 132 samples) were downloaded from the Gene Expression Omnibus (GEO) website. We utilized the WGCNA to identify the coexpressed genes (modules) and modular hub genes after non-specific filtering. Furthermore, these differentially expressed genes were submitted to CMap analysis to identify candidate therapeutic compounds for GC. In experimental part, cell growth inhibition was evaluated by Cell Counting Kit-8 (CCK-8) and colony formation assays. Tumor growth was assessed using nude mice with xenografts established in vivo. QRT-PCR and western blot were used for determination of HDAC2 expression level and immunohistochemistry was performed to quantify HDAC2 in gastric tumor samples. RESULTS: Through WGCNA and CMap analysis, we found two potential therapeutic compounds, the valproic acid (VPA), which is the histone deacetylase (HDAC) inhibitor and lovastatin. HDAC2 was overexpressed in gastric cancer cell lines including AGS, BGC-823, NCI-N87 and MKN28. Dose-dependent inhibition of gastric cancer cells by VPA and lovastatin was verified in vitro. Apoptosis of GC cells was induced after treatment with VPA and lovastatin through suppressing HDAC2 expression. Furthermore, the inhibition of VPA with cisplatin and lovastatin with cisplatin were also dose-dependent and cisplatin exhibited synergistic effects. In the xenografts, similar results were found. CONCLUSION: WGCNA was able to identify significant groups of genes associated with cancer prognosis. Moreover, analysis of gene expression signature using CMap is a powerful way to explore potential therapeutics for human diseases. For treating GC, lovastatin may be a potential drug.

Lovastatin Analogues from the Soil-Derived Fungus Aspergillus sclerotiorum PSU-RSPG178.

Three new lovastatin analogues (1, 4, and 5) together with four known lovastatin derivatives, namely, lovastatin (2), α,ß-dehydrolovastatin (3), α,ß-dehydrodihydromonacolin K (6), and α,ß-dehydro-4a,5-dihydromonacolin L (7), were isolated from the soil-derived fungus Aspergillus sclerotiorum PSU-RSPG178. Their structures were established using spectroscopic evidence. Compound 5 exhibited the most potent activity against HMG-CoA reductase, with an IC50 value of 387 µM. In addition, the present study indicated the direct interaction of compound 5 with HMG-CoA reductase. Compound 5 was considered to be noncytotoxic against noncancerous Vero cells, with an IC50 value of 40.0 µM, whereas compound 2 displayed much stronger activity, with an IC50 value of 2.2 µM.

Lovastatin production: From molecular basis to industrial process optimization.

Lovastatin, composed of secondary metabolites produced by filamentous fungi, is the most frequently used drug for hypercholesterolemia treatment due to the fact that lovastatin is a competitive inhibitor of HMG-CoA reductase. Moreover, recent studies have shown several important applications for lovastatin including antimicrobial agents and treatments for cancers and bone diseases. Studies regarding the lovastatin biosynthetic pathway have also demonstrated that lovastatin is synthesized from two-chain reactions using acetate and malonyl-CoA as a substrate. It is also known that there are two key enzymes involved in the biosynthetic pathway called polyketide synthases (PKS). Those are characterized as multifunctional enzymes and are encoded by specific genes organized in clusters on the fungal genome. Since it is a secondary metabolite, cultivation process optimization for lovastatin biosynthesis has included nitrogen limitation and non-fermentable carbon sources such as lactose and glycerol. Additionally, the influences of temperature, pH, agitation/aeration, and particle and inoculum size on lovastatin production have been also described. Although many reviews have been published covering different aspects of lovastatin production, this review brings, for the first time, complete information about the genetic basis for lovastatin production, detection and quantification, strain screening and cultivation process optimization. Moreover, this review covers all the information available from patent databases covering each protected aspect during lovastatin bio-production.

Biosynthesis of mevinolin, a hypocholesterolemic fungal metabolite, in Aspergillus terreus.

Mevinolin and compactin are fungal metabolites which inhibit cholesterol biosynthesis in mammalian systems. Biogenetically, mevinolin is formed from polyketide chains, one 18-carbon and one 4-carbon, derived from acetate in normal head to tail fashion. The remaining two carbons in mevinolin, namely C-2' and C-6 methyl groups, are transferred from S-adenosylmethionine. To distinguish the timing and sequence of these two methylation steps, [Me-14C]- and [Me-3H,14C]-L-methionine were fed to Aspergillus terreus at several selected production intervals. Location and distribution of labels were determined by the specific chemical degradation methods. The results have demonstrated clearly that transfer of methyl groups from two S-adenosylmethionine molecules to the biosynthetic precursors of mevinolin was a sequential process. Methylation at C-6 preceded that at C-2' of mevinolin. Both methylation steps proceeded with complete retention of hydrogens. Methyl groups were probably transferred to the anion-like intermediates.