Widely used as anti-cancer and immunosuppressive agents, thiopurines have narrow therapeutic indices due to frequent toxicities, partly explained by TPMT genetic polymorphisms. Recent studies identified germline NUDT15 variation as another critical determinant of thiopurine intolerance, but the underlying molecular mechanisms and its clinical implications remain unknown. In 270 children enrolled in clinical trials for acute lymphoblastic leukemia in Guatemala, Singapore, and Japan, we identified 4 NUDT15 coding variants (p.Arg139Cys, p.Arg139His, p.Val18Ile, p.Val18_Val19insGlyVal) that resulted in 74.4%–100% loss of nucleotide diphosphatase activity. Loss-of-function NUDT15 diplotypes were consistently associated with thiopurine intolerance across three cohorts (P=0.021, 2.1×10−5, and 0.0054, respectively; meta-analysis P=4.45×10−8, allelic effect size=−11.5). Mechanistically, NUDT15 inactivated thiopurine metabolites and decreased its cytotoxicity in vitro, and patients with defective NUDT15 alleles showed excessive thiopurine active metabolites and toxicity. Taken together, our results indicate that a comprehensive pharmacogenetic model integrating NUDT15 variants may inform personalized thiopurine therapy.

The development of an automated, high-throughput fractionation procedure to prepare and analyze natural product libraries for drug discovery screening is described. Natural products obtained from plant materials worldwide were extracted and first prefractionated on polyamide solid-phase extraction cartridges to remove polyphenols, followed by high-throughput automated fractionation, drying, weighing, and reformatting for screening and storage. The analysis of fractions with UPLC coupled with MS, PDA and ELSD detectors provides information that facilitates characterization of compounds in active fractions. Screening of a portion of fractions yielded multiple assay-specific hits in several high-throughput cellular screening assays. This procedure modernizes the traditional natural product fractionation paradigm by seamlessly integrating automation, informatics, and multimodal analytical interrogation capabilities.Natural products are a vast resource of compounds with seemingly unlimited chemical and functional diversity, and have been a rich source for lead molecules in drug discovery programs. 1-4 Sixty percent of new drugs for cancer and 75% of those for infectious diseases have originated from natural sources. 5,6 Between 2001 and 2005, 23 natural product based drugs were launched in Europe, Japan, and the United States for treating various disorders such as cancer, diabetes, dyslipidemia, atopic dermatitis, Alzheimer's disease, bacterial and fungal infections, genetic diseases such as tyrosinemia, and Gaucher's disease. 7 However, during the last two decades, research efforts in the discovery of therapeutic natural products have waned because of the complications and significant time requirements inherent in compound isolation. Primary screening of crude plant extracts or microbial fermentations, followed by bioassay-guided fractionation, purification, and structure elucidation of novel bioactive compounds can take several months. 8 The required scale of isolation has been too large to be implemented effectively in an automated, high-throughput fashion. The combination of these and other factors has led to a lagging emphasis in natural product discovery. However, recent advances in high-throughput screening (HTS) technology have

The pregnane X receptor (PXR) regulates the metabolism and excretion of xenobiotics and endobiotics by regulating the expression of drug-metabolizing enzymes and transporters. The unique structure of PXR allows it to bind many drugs and drug leads, possibly causing undesired drug–drug interactions. Therefore, it is crucial to evaluate whether chemicals or drugs bind to PXR. Fluorescence-based assays are preferred because of their sensitivity and nonradioactive nature. On the basis of our previously characterized 4 (BODIPY FL vinblastine), a high-affinity PXR probe, we developed 20 (BODIPY FL vindoline) and showed that it is a novel and potent PXR fluorescent probe with Kd of 256 nM in a time-resolved fluorescence resonance energy transfer (TR-FRET) binding assay with PXR. By using 20 (BODIPY FL vindoline) in the PXR TR-FRET assay, we obtained a more than 7-fold signal-to-background ratio and high signal stability (signal was stable for at least 120 min, and Z′-factor > 0.85 from 30 to 240 min). The assay can tolerate DMSO up to 2%. This assay has been used to evaluate a panel of PXR ligands for their PXR-binding affinities. The performance of 20 (BODIPY FL vindoline) in the PXR TR-FRET assay makes it an ideal PXR fluorescent probe, and the newly developed PXR TR-FRET assay with 20 (BODIPY FL vindoline) as a fluorescent probe is suitable for high-throughput screening to identify PXR-binding ligands.

The roots of Salvia miltiorrhiza (“Danshen”) are used in traditional Chinese medicine for the treatment of numerous ailments including cardiovascular disease, hypertension, and ischemic stroke. Extracts of S. miltiorrhiza roots in formulation “Compound Danshen Dripping Pill” is undergoing clinical trials in the U.S. To date, the active components of this material have not been conclusively identified. We have determined that S. miltiorrhiza roots contain potent human carboxylesterase (CE) inhibitors, due to the presence of tanshinones. Ki values in the nM range were determined for inhibition of both the liver and intestinal CEs. As CEs hydrolyze clinically used drugs, the ability of tanshinones and S. miltiorrhiza root extracts to modulate the metabolism of the anticancer prodrug irinotecan (CPT-11) was assessed. Our results indicate that marked inhibition of human CEs occurs following incubation with both pure compounds and crude material, and that drug hydrolysis is significantly reduced. Consequently, a reduction in the cytotoxicity of irinotecan is observed following dosing with either purified tanshinones or S. miltiorrhiza root extracts. It is concluded that remedies containing tanshinones should be avoided when individuals are taking esterified agents, and that patients should be warned of the potential drug-drug interaction that may occur with this material.

We previously reported the discovery, validation, and structure-activity relationships of a series of piperidinyl ureas that potently inhibit the DCN1-UBE2M interaction. We demonstrated that compound 7 inhibits both the DCN1-UBE2M protein-protein interaction and DCN1-mediated cullin neddylation in biochemical assays and reduces levels of steady-state cullin neddylation in a squamous carcinoma cell line harboring DCN1 amplification. Although compound 7 exhibits good solubility and permeability, it is rapidly metabolized in microsomal models (CL = 170 mL/min/kg). This work lays out the discovery of an orally bioavailable analogue, NAcM-OPT (67). Compound 67 retains the favorable biochemical and cellular activity of compound 7 but is significantly more stable both in vitro and in vivo. Compound 67 is orally bioavailable, well tolerated in mice, and currently used to study the effects of acute pharmacologic inhibition of the DCN1-UBE2M interaction on the NEDD8/CUL pathway.

A library of diarylurea IGFR inhibitors was screened for activity against chloroquine-sensitive (3D7) and chloroquine-resistant (K1) strains of Plasmodium falciparum. The 4-aminoquinaldine-derived diarylureas displayed promising antimalarial potency. Further exploration of the B ring of 4-aminoquinaldinyl ureas allowed identification of several quinaldin-4-yl ureas 4{13, 39} and 4{13, 58} sufficiently potent against both 3D7 and K1 strains to qualify as bone fide leads.

The generation of natural product libraries containing column fractions, each with only a few small molecules, using a high-throughput, automated fractionation system, has made it possible to implement an improved dereplication strategy for selection and prioritization of leads in a natural product discovery program. Analysis of databased UPLC-MS-ELSD-PDA information of three leads from a biological screen employing the ependymoma cell line EphB2-EPD generated details on the possible structures of active compounds present. The procedure allows the rapid identification of known compounds and guides the isolation of unknown compounds of interest. Three previously known flavanone-type compounds homoeriodictyol (1), hesperetin (2), and sterubin (3) were identified in a selected fraction derived from the leaves of Eriodictyon angustifolium. The lignan compound deoxypodophyllotoxin (8) was confirmed to be an active constituent in two lead fractions derived from the bark and leaves of Thuja occidentalis. In addition, two new but inactive labdane-type diterpenoids with an uncommon triol side chain were also identified as coexisting with deoxypodophyllotoxin in a lead fraction from the bark of T. occidentalis. Both diterpenoids were isolated in acetylated form, and their structures were determined as 14S,15-diacetoxy-13R-hydroxy-labd-8(17)-en-19-oic acid (9) and 14R,15-diacetoxy-13S-hydroxy-labd-8(17)-en-19-oic acid (10), respectively, by spectroscopic data interpretation and X-ray crystallography. This work demonstrates that a UPLC-MS-ELSD-PDA database produced during fractionation may be used a powerful dereplication tool to facilitate compound identification from chromatographically tractable small molecule natural product libraries.

Treatment of metastatic gastric cancer typically involves chemotherapy and monoclonal antibodies targeting HER2 (ERBB2) and VEGFR2 (KDR). However, reliable methods to identify patients who would benefit most from a combination of treatment modalities targeting the tumor stroma, including new immunotherapy approaches, are still lacking. Therefore, we integrated a mouse model of stromal activation and gastric cancer genomic information to identify gene expression signatures that may inform treatment strategies. We generated a mouse model in which VEGF-A is expressed via adenovirus, enabling a stromal response marked by immune infiltration and angiogenesis at the injection site, and identified distinct stromal gene expression signatures. With these data, we designed multiplexed IHC assays that were applied to human primary gastric tumors and classified each tumor to a dominant stromal phenotype representative of the vascular and immune diversity found in gastric cancer. We also refined the stromal gene signatures and explored their relation to the dominant patient phenotypes identified by recent large-scale studies of gastric cancer genomics (The Cancer Genome Atlas and Asian Cancer Research Group), revealing four distinct stromal phenotypes. Collectively, these findings suggest that a genomicsbased systems approach focused on the tumor stroma can be used to discover putative predictive biomarkers of treatment response, especially to antiangiogenesis agents and immunotherapy, thus offering an opportunity to improve patient stratification.