Drug Metabolism And Pharmacokinetics Research Articles

Discovery of Pamiparib (BGB-290), a Potent and Selective Poly (ADP-ribose) Polymerase (PARP) Inhibitor in Clinical Development.

Poly (ADP-ribose) polymerase (PARP) plays a significant role in DNA repair responses; therefore, this enzyme is targeted by PARP inhibitors in cancer therapy. Here we have developed a number of fused tetra- or pentacyclic dihydrodiazepinoindolone derivatives with excellent PARP enzymatic and cellular PARylation inhibition activities. These efforts led to the identification of pamiparib (BGB-290, 139), which displays excellent PARP-1 and PARP-2 inhibition with IC50 of 1.3 and 0.9 nM, respectively. In a cellular PARylation assay, this compound inhibits PARP activity with IC50 = 0.2 nM. Cocrystal of pamiparib shows similar binding sites with PARP with other PARP inhibitors, but pamiparib is not a P-gp substrate and shows excellent drug metabolism and pharmacokinetics (DMPK) properties with significant brain penetration (17-19%, mice). The compound is currently being investigated in phase III clinical trials as a maintenance therapy in platinum-sensitive ovarian cancer and gastric cancer.

Escaping from Flatland: Antimalarial Activity of sp3-Rich Bridged Pyrrolidine Derivatives

We utilized synthetic photochemistry to generate novel sp3-rich scaffolds and report the design, synthesis, and biological testing of a diverse series of amides based on the 1-(amino-methyl)-2-benzyl-2-aza-bicyclo[2.1.1]hexane scaffold. Preliminary antimalarial screening of the library provided promising compounds with activity in the 1-5 μM range with an enhanced hit rate. Further evaluation (solubility, drug metabolism and pharmacokinetics (DMPK), and toxicity) of a selected compound (9) suggested that this series represents an excellent opportunity for further optimization with the framework offering multiple opportunities for the addition of uniquely vectorally positioned extra functionality.

Bringing the Heavy Chain to Light: Creating a Symmetric, Bivalent IgG-Like Bispecific.

Bispecific molecules are biologically significant, yet their complex structures pose important manufacturing and pharmacokinetic challenges. Nevertheless, owing to similarities with monoclonal antibodies (mAbs), IgG-like bispecifics conceptually align well with conventional expression and manufacturing platforms and often exhibit potentially favorable drug metabolism and pharmacokinetic (DMPK) properties. However, IgG-like bispecifics do not possess target bivalency and current designs often require tedious engineering and purification to ensure appropriate chain pairing. Here, we present a near-native IgG antibody format, the 2xVH, which can create bivalency for each target or epitope and requires no engineering for cognate chain pairing. In this modality, two different variable heavy (VH) domains with distinct binding specificities are grafted onto the first constant heavy (CH1) and constant light (CL) domains, conferring the molecule with dual specificity. To determine the versatility of this format, we characterized the expression, binding, and stability of several previously identified soluble human VH domains. By grafting these domains onto an IgG scaffold, we generated several prototype 2xVH IgG and Fab molecules that display similar properties to mAbs. These molecules avoided the post-expression purification necessary for engineered bispecifics while maintaining a capacity for simultaneous dual binding. Hence, the 2xVH format represents a bivalent, bispecific design that addresses limitations of manufacturing IgG-like bispecifics while promoting biologically-relevant dual target engagement.

Ultrahigh-Throughput ESI-MS: Sampling Pushed to Six Samples per Second by Acoustic Ejection Mass Spectrometry.

We present an acoustic ejection mass spectrometry (AEMS) setup for contactless electrospray ionization mass spectrometry (ESI-MS)-based sample injection at a sampling rate faster than current ESI and matrix-assisted laser desorption ionization (MALDI) techniques. For the direct transfer of samples out of 384-well plates into a modified ESI source, an open port interface (OPI) was combined with a modified acoustic droplet ejection (ADE) system. AEMS has the potential to eliminate bottlenecks known from classical MS approaches, such as speed, reproducibility, carryover, ion suppression, as well as sample preparation and consumption. This setup provided a drastically reduced transfer distance between OPI and ESI electrode for optimum throughput performance and broadens the scope of applications for this emerging technique. To simulate label-free applications of drug metabolism and pharmacokinetics (DMPK) analysis and high-throughput screening (HTS) campaigns, two stress tests were performed regarding ion suppression and system endurance in combination with minor sample preparation. The maximum sampling rate was 6 Hz for dextromethorphan and d3-dextrorphan (each 100 nM) for 1152 injections in 63 s at full width at half-maximum (FWHM) of 105 ms and a relative standard deviation (%RSD) of 7.7/7.5% without internal standard correction. Enzyme assay buffer and crude dog plasma caused signal suppression of 51/73% at %RSD of 5.7/6.7% (n = 120). An HTS endurance buffer was used for >25 000 injections with minor OPI pollution and constant signals (%RSD = 8.5%, FWHM of 177 ms ± 8.5%, n = 10 557). The optimized hardware and method setup resulted in high-throughput performance and enables further implementation in a fully automated platform for ESI-MS-based high-throughput screening.

Identification of Small-Molecule Inhibitors of Neutral Ceramidase (nCDase) via Target-Based High-Throughput Screening.

There is interest in developing inhibitors of human neutral ceramidase (nCDase) because this enzyme plays a critical role in colon cancer. There are currently no potent or clinically effective inhibitors for nCDase reported to date, so we adapted a fluorescence-based enzyme activity method to a high-throughput screening format. We opted to use an assay whereby nCDase hydrolyzes the substrate RBM 14-16, and the addition of NaIO4 acts as an oxidant that releases umbelliferone, resulting in a fluorescent signal. As designed, test compounds that act as ceramidase inhibitors will prevent the hydrolysis of RBM 14-16, thereby decreasing fluorescence. This assay uses a 1536-well plate format with excitation in the blue spectrum of light energy, which could be a liability, so we incorporated a counterscreen that allows for rapid selection against fluorescence artifacts to minimize false-positive hits. The high-throughput screen of >650,000 small molecules found several lead series of hits. Multiple rounds of chemical optimization ensued with improved potency in terms of IC50 and selectivity over counterscreen assays. This study describes the first large-scale high-throughput optical screening assay for nCDase inhibitors that has resulted in leads that are now being pursued in crystal docking studies and in vitro drug metabolism and pharmacokinetics (DMPK).

Optimising proteolysis-targeting chimeras (PROTACs) for oral drug delivery: a drug metabolism and pharmacokinetics perspective

Proteolysis-targeting chimeras (PROTACs) are an emerging therapeutic modality with the potential to open target space not accessible to conventional small molecules via a degradation-based mechanism; however, their bifunctional nature can result in physicochemical properties that breach commonly accepted limits for small-molecule oral drugs. We offer a drug metabolism and pharmacokinetics (DMPK) perspective on the optimisation of oral PROTACs across a diverse set of projects within Oncology R&D at AstraZeneca, highlighting some of the challenges that they have presented to our established screening cascade. Furthermore, we challenge some of the perceptions and dogma surrounding the feasibility of oral PROTACS and demonstrate that acceptable oral PK properties for this modality can be regularly achievable despite the physicochemical property challenges they present.

Synthesis of C-14 labeled Rac-(3R,2S)-glycopyrronium bromide.

In an effort to better understand the drug metabolism and pharmacokinetics (DMPK) properties of glycopyrronium bromide (1), a muscarinic acetylcholine receptor antagonist, a C-14 labeled isotopologue was required. The compound was prepared in five synthetic steps and 5% overall radiochemical yield from Cu14 CN. During the synthesis, an unexpected decarboxylation of phenylglyoxylate resulted in the loss of much of the radiolabeled compound. Chiral chromatography was utilized to isolate and deliver the proper pair of enantiomers as [14 C]-1.

Abstract B037: Potential next-generation androgen receptor-targeted therapeutic for enzalutamide-resistant prostate cancer; In vivo characterization in immune-compromised SRG rats

Abstract Current treatment options for advanced castration-resistant prostate cancers (CRPC) are effective for a brief period before becoming refractory. It is important to use relevant in vivo models for candidate selection in the development of next-generation mechanistically-distinct drugs to treat castration- and drug- resistant prostate cancers. Here, we describe a series of AR pan-antagonists (selective AR degraders (SARDs)) that degrade the AR and AR splice variants. SARDs inhibit the wild-type and LBD mutant ARs comparably and inhibit the in vitro proliferation and in vivo growth of enzalutamide-sensitive and resistant prostate cancer xenografts. Xenograft studies conducted in immune-compromised SRG rats (Sprague Dawley Rag2-/- Il2rg -/-; Hera Biolabs) with three lead SARDs demonstrated regression of enzalutamide-sensitive and -resistant VCaP tumors both in castrated and in intact rats. SRG rats provide the benefit of abundant blood samples for weekly evaluation of rising PSA, which also indicated that the SARDs inhibit the rising PSA, while enzalutamide was inactive in enzalutamide-resistant model. Drug metabolism and pharmacokinetic (DMPK) studies, also conducted with SRG and wild-type rats and in combination with efficacy, indicate that the molecules possess all the necessary drug-like properties. The molecules exhibit a broad safety margin with no cross-reactivity with G-Protein Coupled Receptor, kinase, and nuclear receptor family members. Collectively, the SARDs exhibit the properties necessary for a next-generation prostate cancer drug and that use of SRG rats facilitated thorough characterization of their in vivo properties. Citation Format: Suriyan Udhayasuriyan Ponnusamy, Fallon K Noto, Bisoye Towobola Adedeji, Yali He, Dong-Jin Hwang, Sam Moody, Thirumagal Thiyagarajan, Tseten Yeshi Jamling, Duane D Miller, Ramesh Narayanan. Potential next-generation androgen receptor-targeted therapeutic for enzalutamide-resistant prostate cancer; In vivo characterization in immune-compromised SRG rats [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics; 2019 Oct 26-30; Boston, MA. Philadelphia (PA): AACR; Mol Cancer Ther 2019;18(12 Suppl):Abstract nr B037. doi:10.1158/1535-7163.TARG-19-B037

502P - Basic selective estrogen receptor degraders (B-SERDs) in combination with novel BET inhibitors in ER+ breast cancer

BackgroundResistance to endocrine therapy in estrogen receptor positive (ER+) breast cancer drives mortality and despite new targeted therapies, resistance is the obstacle to progression-free survival. Fulvestrant (FUL), a selective estrogen receptor degrader (SERD) was approved in 2017 for fırst-line therapy of metaststic disease in postmenopausal women; however, acquired FUL-resistance in both fırst-line setting and in combination therapy with CDK4/6 inhibitor, palbociclib, has been observed clinically. The poor pharmacokinetics of FUL may contribute to acquired resistance. MethodsUsing structure-based design, we optimized: 1) novel SERDs bearing a basic side chain (B-SERDs) as an orally bioavailable and brain penetrant alternative to FUL; 2) novel pyridinone-based bromodomains and extra-terminal motif (BET) inhibitors to be used in combination with B-SERDs or FUL. Biochemical assays and growth inhibition of breast cancer cell lines, resistant to tamoxifen, and/or FUL, both in 2D and 3D cultures were used to optimize and select development candidates. Drug metabolism and pharmacokinetics(DMPK) demonstrated oral bioavailability and dose selection for validation in mouse xenograft models of endocrine resistant breast cancer. ResultsB-SERDs showed equivalence to FUL in cell culture models, with respect to ERα degradation and antiproliferative activity; and in contrast to FUL, were demonstrated to have good oral and brain bioavailability. A development candidate with improved DMPK characteristics was effective in endocrine-resistant ER+ xenograft models. Novel BET inhibitors, optimized for potency in binding to BRD4-BD1 and selectivity over the larger family of bromodomain containing proteins, inhibited growth of tamoxifen and FUL-resistant breast cancer cells.Optimized compounds showed superior in vitro activity to eight BET inhibitors in clinical trials. The optimized BET inhibitor was validated alone and in combination with B-SERD in endocrine-resistant xenograft models. ConclusionsThe combination of B-SERD with BET inhibitor provides a multi-targeted suppression of ER signaling that may extend progression-free survival and cdircumvent acquired resistance in metastatic ER+ breast cancer. Legal entity responsible for the studyGregory R J Thatcher. FundingHas not received any funding. DisclosureAll authors have declared no conflicts of interest.

The Role Change of Drug Metabolism and Pharmacokinetics Research in the Drug Development

Global big pharmaceutical companies identify Absorption-Distribution-Metabolism-Excretion-Toxicity (ADMET) properties in early drug discovery stage to improve poor pharmacokinetics (PK) and bioavailability (BA) that are the major cause of attrition rate in drug development in 1990s. Attrition rate due to poor PK and BA was around 40% among total attrition rate. Hence, they intend to assign in-vitro ADME assay evaluations at the early drug discovery stage for finding optimal ADME chemicals to reduce attrition rate. As a result, attrition rate in 2000s due to poor PK & BA greatly decreased to less than 8% and the role of Drug-Metabolism and Pharmacokinetics (DMPK) research has changed importantly during this process. According to this trend, canonical role of DMPK is moving fast to convergence area for optimization of new drugs. We expressed typical nonclinical work-flow in the 1990s and 2000s and tried to investigate how non-clinical work-flow changed in early drug discovery stage. The biggest changes are that in-vitro ADME assays were performed during the early drug discovery stage. In this review, we tried to inform to Korean pharmaceutical company about the world wide paradigm shift in DMPK research. We discussed drug discovery strategies to increase the success rate and the future direction of DMPK research scope.

In Silico Prediction of PAMPA Effective Permeability Using a Two-QSAR Approach.

Oral administration is the preferred and predominant route of choice for medication. As such, drug absorption is one of critical drug metabolism and pharmacokinetics (DM/PK) parameters that should be taken into consideration in the process of drug discovery and development. The cell-free in vitro parallel artificial membrane permeability assay (PAMPA) has been adopted as the primary screening to assess the passive diffusion of compounds in the practical applications. A classical quantitative structure–activity relationship (QSAR) model and a machine learning (ML)-based QSAR model were derived using the partial least square (PLS) scheme and hierarchical support vector regression (HSVR) scheme to elucidate the underlying passive diffusion mechanism and to predict the PAMPA effective permeability, respectively, in this study. It was observed that HSVR executed better than PLS as manifested by the predictions of the samples in the training set, test set, and outlier set as well as various statistical assessments. When applied to the mock test, which was designated to mimic real challenges, HSVR also showed better predictive performance. PLS, conversely, cannot cover some mechanistically interpretable relationships between descriptors and permeability. Accordingly, the synergy of predictive HSVR and interpretable PLS models can be greatly useful in facilitating drug discovery and development by predicting passive diffusion.

Exploiting the 7-methylimidazo[1,5-a]pyrazin-8(7H)-one scaffold for the development of novel chemical inhibitors for Bromodomain and Extraterminal Domain (BET) family

The bromodomain and extraterminal (BET) family of proteins play a crucial role in promoting gene expression of critical oncogenes. Novel BET bromodomain inhibitors with excellent potency, drug metabolism and pharmacokinetics (DMPK) properties were in strong need for development. We reported a series of potential BET inhibitors through incorporation of imidazole into pyridine scaffold. Among them, a novel BET inhibitor with 7-methylimidazo[1,5-a]pyrazin-8(7H)-one core, compound 28, was considered to be the most promising for in-depth study. Compound 28 exhibited excellent BRD4-inhibitory activity with IC50 value of 33 nM and anti-proliferation potency with IC50 value of 110 nM in HL-60 (human promyelocytic leukemia) cancer cell lines. Western Blot indicated that compound 28 can effectively trigger apoptosis in BxPc3 cells by modulating the intrinsic apoptotic pathway. In conclusion, these results suggested that compound 28 has merely potential for leukemia treatment.

An introduction to QSP modeling for pharmacologists

Quantitative systems pharmacology (QSP) is an emerging field of modeling technologies that describes the dynamic interaction between biological systems and drugs. Recently, QSP is increasingly being applied to pharmaceutical drug discovery and development, and used for various types of decision makings. In contrast to empirical and statistical models, QSP represents complex systems of human physiology by integrating comprehensive biological information, hence, it can address various purposes including target and/or disease-related biomarker identification, hypothesis testing, and prediction of clinical efficacy or toxicity. On the other hand, structures of QSP models become quite complicated with huge amount of biological components, therefore, close collaboration between pharmacologists having profound knowledge of biology and drug metabolism and pharmacokinetics (DMPK) scientists, experts of model building, is crucial for QSP development and implementation. This article introduces, from DMPK scientists to pharmacologists, main features of QSP and its applications in pharmaceutical industries, and discusses challenges and future perspectives for effective utilization in drug discovery and development.

Potent Antimalarial 2-Pyrazolyl Quinolone bc 1 (Qi) Inhibitors with Improved Drug-like Properties.

A series of 2-pyrazolyl quinolones has been designed and synthesized in 5-7 steps to optimize for both in vitro antimalarial potency and various in vitro drug metabolism and pharmacokinetics (DMPK) features. The most potent compounds display no cross-resistance with multidrug resistant parasite strains (W2) compared to drug sensitive strains (3D7), with IC50 (concentration of drug required to achieve half maximal growth suppression) values in the range of 15-33 nM. Furthermore, members of the series retain moderate activity against the atovaquone-resistant parasite isolate (TM90C2B). The described 2-pyrazoyl series displays improved DMPK properties, including improved aqueous solubility compared to previously reported quinolone series and acceptable safety margin through in vitro cytotoxicity assessment. The 2-pyrazolyl quinolones are believed to bind to the ubiquinone-reducing Qi site of the parasite bc 1 complex, which is supported by crystallographic studies of bovine cytochrome bc 1 complex.

Impact of Drug Metabolism/Pharmacokinetics and their Relevance Upon Taxus-based Drug Development.

Drug Metabolism and Pharmacokinetic (DMPK) studies of Taxus natural products, their semi-synthetic derivatives and analogs are indispensable in the optimization of lead compounds and clinical therapy. These studies can lead to development of new drug entities with improved Absorption, Distribution, Metabolism, Excretion and Toxicity (ADME/T) profiles. To date, there have been no comprehensive reviews of the DMPK features of Taxus derived medicinal compounds. Natural and semi-synthetic taxanes may cause and could be affected by Drug-drug Interaction (DDI). Hence ADME/T studies of various taxane-containing formulations are important; to date these studies indicate that the role of cytochrome p450s and drug transporters is more prominent than phase II drug metabolizing enzymes. Mechanisms of taxane DMPK mediated by nuclear receptors, microRNAs, and single nucleotide polymorphisms are being revealed. Herein we review the latest knowledge on these topics, as well as the gaps in knowledge of the DMPK issues of Taxus compounds. DDIs significantly impact the PK/pharmacodynamics performance of taxanes and coadministered chemicals, which may inspire researchers to develop novel formula. While the ADME/T profiles of some taxanes are well defined, DMPK studies should be extended to more Taxus compounds, species, and Taxus - involved formulations, which would be streamlined by versatile omics platforms and computational analyses. Further biopharmaceutical investigations will be beneficial to the translation of bench findings to the clinical applications.

Mass spectrometry in drug metabolism and pharmacokinetics: Current trends and future perspectives.

Drug Metabolism and Pharmacokinetics (DMPK) is a core scientific discipline within drug discovery and development as well as post-marketing. It helps to design and select the most promising drug candidate and obtain advanced insights on the processes that control absorption, distribution, metabolism and excretion (ADME) of the final drug candidate. Mass spectrometry is one of the key technologies applied in DMPK. Therefore, the continuous advances made in the field of mass spectrometry also directly impact the way in which we investigate the ADME properties of a compound, providing us with new tools to gather more information or improve our efficiency. An overview will be given of some important current trends and future perspectives in the field.

Drug permeation and metabolism in Mycobacterium tuberculosis: Prioritising local exposure as essential criterion in new TB drug development.

Anti-tuberculosis (TB) drugs possess diverse abilities to penetrate the different host tissues and cell types in which infecting Mycobacterium tuberculosis bacilli are located during active disease. This is important since there is increasing evidence that the respective "lesion-penetrating" properties of the front-line TB drugs appear to correlate well with their specific activity in standard combination therapy. In turn, these observations suggest that rational efforts to discover novel treatment-shortening drugs and drug combinations should incorporate knowledge about the comparative abilities of both existing and experimental anti-TB agents to access bacilli in defined physiological states at different sites of infection, as well as avoid elimination by efflux or inactivation by host or bacterial metabolism. However, while there is a fundamental requirement to understand the mode of action and pharmacological properties of any current or experimental anti-TB agent within the context of the obligate human host, this is complex and, until recently, has been severely limited by the available methodologies and models. Here, we discuss advances in analytical models and technologies which have enabled investigations of drug metabolism and pharmacokinetics (DMPK) for new TB drug development. In particular, we consider the potential to shift the focus of traditional pharmacokinetic-pharmacodynamic analyses away from plasma to a more specific "site of action" drug exposure as an essential criterion for drug development and the design of dosing strategies. Moreover, in summarising approaches to determine DMPK data for the "unit of infection" comprising host macrophage and intracellular bacillus, we evaluate the potential benefits of including these analyses at an early stage in the preclinical drug development algorithm. © 2018 IUBMB Life, 70(9):926-937, 2018.

Development of a Physiologically Based Pharmacokinetic Model for Sinogliatin, a First-in-Class Glucokinase Activator, by Integrating Allometric Scaling, In Vitro to In Vivo Exploration and Steady-State Concentration-Mean Residence Time Methods: Mechanistic Understanding of its Pharmacokinetics.

The objective of this study was to develop a physiologically based pharmacokinetic (PBPK) model for sinogliatin (HMS-5552,dorzagliatin) by integrating allometric scaling (AS), in vitro to in vivo exploration (IVIVE), and steady-state concentration-mean residence time (Css-MRT) methods and to provide mechanistic insight into its pharmacokinetic properties in humans. Human major pharmacokinetic parameters were analyzed using AS, IVIVE, and Css-MRT methods with available preclinical in vitro and in vivo data to understand sinogliatin drug metabolism and pharmacokinetic (DMPK) characteristics and underlying mechanisms. On this basis, an initial mechanistic PBPK model of sinogliatin was developed. The initial PBPK model was verified using observed data from a single ascending dose (SAD) study and further optimized with various strategies. The final model was validated by simulating sinogliatin pharmacokinetics under a fed condition. The validated model was applied to support a clinical drug-drug interaction (DDI) study design and to evaluate the effects of intrinsic (hepatic cirrhosis, genetic) factors on drug exposure. The two-species scaling method using rat and dog data (TS-rat,dog) was the best AS method in predicting human systemic clearance in the central compartment (CL). The IVIVE method confirmed that sinogliatin was predominantly metabolized by cytochrome P450 (CYP) 3A4. The Css-MRT method suggested dog pharmacokinetic profiles were more similar to human pharmacokinetic profiles. The estimated CL using the AS and IVIVE approaches was within 1.5-fold of that observed. The Css-MRT method in dogs also provided acceptable prediction of human pharmacokinetic characteristics. For the PBPK approach, the 90% confidence intervals (CIs) of the simulated maximum concentration (Cmax), CL, and area under the plasma concentration-time curve (AUC) of sinogliatin were within those observed and the 90% CI of simulated time to Cmax (tmax) was closed to that observed for a dose range of 5-50 mg in the SAD study. The final PBPK model was validated by simulating sinogliatin pharmacokinetics with food. The 90% CIs of the simulated Cmax, CL, and AUC values for sinogliatin were within those observed and the 90% CI of the simulated tmax was partially within that observed for the dose range of 25-200mg in the multiple ascending dose (MAD) study. This PBPK model selected a final clinical DDI study design with itraconazole from four potential designs and also evaluated the effects of intrinsic (hepatic cirrhosis, genetic) factors on drug exposure. Sinogliatin pharmacokinetic properties were mechanistically understood by integrating all four methods and a mechanistic PBPK model was successfully developed and validated using clinical data. This PBPK model was applied to support the development of sinogliatin.

Impact of Drug Metabolism/Pharmacokinetics and their Relevance Upon Salviabased Drug Discovery.

Salvia is the largest genus of family Lamiaceae and has nearly 1000 species. This genus produces several representative phytometabolites, e.g., diterpenoids and phenolic acids. The traditional uses in ethnomedicine and contemporary experimental studies have corroborated extensive therapeutic efficacy of Salvia plants. Drug metabolism and pharmacokinetic (DMPK) studies of Salvia natural products and their derivatives are indispensable in the optimization of lead compounds. New chemical entity with improved DMPK profiles is preferred. So far, there are few summaries concerning about the DMPK features of Salvia derived medicinal compounds. Tanshinones and Salvianolic acids raise concerns of herb-drug interaction. DMPK studies of various Salvia species, especially Salvia miltiorrhiza, are swiftly increasing. Here, the latest awareness, as well as the gaps of the DMPK issues in drug development and clinical usage of Salvia compounds, was highlighted. Herb-herb interactions of Salvia-containing traditional Chinese medicine (TCM) medicine pair/formula significantly impact the PK/pharmacodynamic performance of compounds thereof, which may inspire researchers to develop novel herbal formula. While the absorption, distribution, metabolism, elimination and toxicity (ADME/T) of some tanshinones and Salvianolic acids have been outlined, DMPK studies should be extended to more compounds, Salvia species, and Salvia-containing formulations. In the context of systems pharmacology, the DMPK knowledgebase is expected to streamline the Salvia-based drug discovery and development.

Antagonists of the adenosine A2A receptor based on a 2-arylbenzoxazole scaffold: Investigation of the C5- and C7-positions to enhance affinity

We have recently reported a series of 2-furoyl-benzoxazoles as potential A2A adenosine receptor (A2AR) antagonists. Two hits were identified with interesting pharmacokinetic properties but were find to bind the hA2AR receptor in the micromolar-range. Herein, in order to enhance affinity toward the hA2AR, we explored the C5- and C7-position of hits 1 and 2 based on docking studies. These modifications led to compounds with nanomolar-range affinity (e.g. 6a, Ki = 40 nM) and high antagonist activity (e.g. 6a, IC50 = 70.6 nM). Selected compounds also exhibited interesting in vitro DMPK (Drug Metabolism and Pharmacokinetics) properties including high solubility and low cytotoxicity. Therefore, the benzoxazole ring appears as a highly effective scaffold for the design of new A2A antagonists.