Conventional Drug Screening Research Articles

Enhanced hepatotoxicity assessment through encapsulated HepG2 spheroids in gelatin hydrogel matrices: Bridging the gap from 2D to 3D culture

Conventional 2D drug screening often fails to accurately predict clinical outcomes. We present an innovative approach to improve hepatotoxicity assessment by encapsulating HepG2 spheroids in gelatin hydrogel matrices with different mechanical properties. Encapsulated spheroids exhibit sustained liver-specific functionality, enhanced expression of drug-metabolizing enzymes, and increased drug sensitivity compared to 2D cultures. The platform detects critical variations in drug response, with significant differences in IC50 values between 2D and spheroid cultures ranging from 1.3-fold to > 13-fold, particularly for acetaminophen. Furthermore, drug-metabolizing enzyme expression varies across hydrogel concentrations, suggesting a role for matrix mechanical properties in modulating hepatocyte function. This novel spheroid-hydrogel platform offers a transformative approach to hepatotoxicity assessment, providing increased sensitivity, improved prediction, and a more physiologically relevant environment. The use of such advanced in vitro models can accelerate drug development, reduce animal testing, and contribute to improved patient safety and clinical outcomes.

DIPG-65. NOVEL PATIENT-BASED PHARMACOKINETIC DRUG SCREENING REVEALS GEMCITABINE POTENTIAL IN PEDIATRIC H3K27-ALTERED DIFFUSE MIDLINE GLIOMAS

Abstract BACKGROUND Pediatric H3K27-altered diffuse midline glioma (DMG) remains incurable, with median overall survival of less than one year. Ineffectiveness of chemotherapy is largely attributed to the blood–brain barrier, hindering drug exposure to the tumor. Current drug sensitivity testing use concentrations vastly different from those attainable in the human brain, with optimal combination, timing, and sequence of drugs remaining underexplored. This study aims to systematically select and validate EMA/FDA approved drugs for effective treatment of DMG, based on human pharmacokinetics. METHODS In silico anticancer drug pharmacokinetic (PK) properties were correlated with published DMG cell sensitivities and ranked based on therapeutic index potential. Predictions of brain extracellular fluid time-concentration profiles (AUChumanECF) using plasma PK values of drug candidates, corresponding to human values, were made via physiologically based pharmacokinetic (PBPK) modeling with LeiCNS-PK3.0. In vitro cellular treatment protocols were established that mimic clinically achievable AUChumanECF, to be validated in vivo. RESULTS This PBPK drug screening approach revealed gemcitabine as a highly potent drug for DMG therapy for most cell lines tested (AUCplasma/AUCin_vitro = 337.6±233.0). Replicating a phase I clinical study in pediatric leukemia patients (3 weekly courses of 3600 mg/m2), 3 weekly 6-hour exposures to 12.5 µM.h gemcitabine demonstrated up to 99% cell kill as compared to viability at start of treatment. Notably, the cytotoxic effects of gemcitabine became apparent 3-5 days following drug exposure for most cell lines, and would have been missed using conventional drug screening with direct readouts. CONCLUSIONS This human PBPK-based drug screening approach underscores the significance of precise timing and dosing in elucidating clinically relevant therapeutic effects, highlighting high-dose gemcitabine as a potential therapy for DMG. Cytotoxic effects of gemcitabine on DMG cell viability are cumulative, and undetected when using conventional drug screening. This underlines the importance of investigating real-life human exposure patterns in the context of DMG.

Abstract 947: A nanodroplet cell processing platform for identifying synergistic drug combinations for neuroblastoma treatment in TH-MYCN transgenic mice

Abstract Neuroblastoma is the most common pediatric extracranial solid tumor and contributes to more than 15% of child mortality. It is characterized by extreme heterogeneity and high-risk tumors often resulting in poor prognosis. Currently, chemotherapy is a prevailing standard treatment for neuroblastoma. However, it is plagued by multiple challenges such as drug resistance and debilitating side effects. Synergistic drug combination is proposed as an innovative approach to potentially improve clinical outcomes of single-agent chemotherapy. We propose a novel approach to screen for effective chemo-synergistic drug combinations using Bioinspired nanodroplet processing (BioNDP) screening platform. This platform overcomes the limitations of conventional drug screening approaches, including the requirement for large cell numbers and the low translation rate from bench to bedside. In this study, we utilize TH-MYCN transgenic mice, a well-known genetically engineered mouse model of neuroblastoma that recapitulates critical genetic and clinical aspects of high-risk MYCN-amplified neuroblastoma. With its genetically homogeneous background and spontaneous tumor development, TH-MYCN mice offer a valuable comparison to traditional xenograft mouse models. We have also developed an optimal procedure of primary murine tumor isolation using both negative and positive selection approaches. The purity of the isolated cells was verified with GD2 expression, one of well-known marker of neuroblastoma. In addition, we have successfully identified an effective drug combination of cyclophosphamide, doxorubicin, and vincristine, using primary neuroblastoma tumor samples derived from TH-MYCN transgenic mice as a target. The in vitro synergistic effect of primary mouse tumor cell cytotoxicity was confirmed by using luminescent cell viability assay. Further in vivo experiments have demonstrated the therapeutic efficacy of this selected drug combination in suppressing tumor growth and improving survival rate in all TH-MYCN transgenic mice treated. To sum up, we aim to establish a future patient-centric paradigm by which minimal primary cell samples from a personalized biopsy of patients may undergo drug screening, leading to the identification of a tailored drug combination. The BioNDP platform we developed may become a pivotal resource for personalized therapy to ensure a faster and more efficient treatment strategy for patients. Citation Format: Yen-Tzu Liao, Zhi-Kai Yu, Ching-Te Kuo, Wen-Ming Hsu, Yi-Xun Huang, Hsinyu Lee. A nanodroplet cell processing platform for identifying synergistic drug combinations for neuroblastoma treatment in TH-MYCN transgenic mice [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 947.

Microinstrumentation for Brain Organoids.

Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.

Selective expansion of renal cancer stem cells using microfluidic single-cell culture arrays for anticancer drug testing.

The suboptimal prognosis associated with drug therapy for renal cancer can be attributed to the presence of stem-cell-like renal cancer cells. However, the limited number of these cells prevents conventional drug screening assays from effectively assessing the response of renal cancer stem cells to anti-cancer agents. To address this issue, the present study employed microfluidic single-cell culture arrays to expand renal cancer stem cells by exploiting the anti-apoptosis and self-renewal properties of tumor stem cells. A microfluidic chip with 18 000 hydrophilic microwells was designed and fabricated to establish the single-cell culture array. Over a 7 day culture, the large-scale single-cell culture yielded a limited quantity of single-cell-derived tumorspheres. The sphere formation rates for Caki-1, 786-O, and ACHN cells were determined to be 8.74 ± 0.53%, 12.02 ± 1.43%, and 4.98 ± 1.68%, respectively. The expanded cells exhibited stemness characteristics, as indicated by immunofluorescence, flow cytometry, serial passaging, and in vitro differentiation assays. Additionally, the comparative transcriptomic analysis showed significant differences in the gene expression patterns of the expanded cells compared to the differentiated renal cancer cells. The drug testing indicated that renal cancer stem cells exhibited reduced sensitivity towards the tyrosine kinase inhibitors sorafenib and sunitinib, compared to differentiated renal cancer cells. This reduced sensitivity can be attributed to the elevated expression levels of tyrosine kinase in renal cancer stem cells. This present study provides evidence that the utilization of microfluidic single-cell culture arrays for selective cell expansion can facilitate drug testing of renal cancer stem cells.

MEA-integrated cantilever platform for comparison of real-time change in electrophysiology and contractility of cardiomyocytes to drugs

Drug-induced cardiotoxicity is a potentially severe side effect that can alter the contractility and electrophysiology of the cardiomyocytes. Cardiotoxicity is generally assessed through animal models using conventional drug screening platforms. Despite significant developments in drug screening platforms, the difficulty in measuring electrophysiology and contractile profile together affects the investigation of cardiotoxicity in potential drugs. Some drugs can prove to be more toxic to contractility than electrophysiology, which demands the need for a reliable, dual, and simultaneous drug screening platform. Herein, we propose the microelectrode array integrated SU-8 cantilever for dual and simultaneous measurement of electrophysiology and contractility of cardiomyocytes. The SU-8 cantilever is integrated with microelectrode array (C-MEA) using conventional photolithographic techniques. Drug tests are conducted to verify the feasibility of the C-MEA platform using three cardiovascular drugs. Clinically recognized drugs, quinidine and verapamil, are used to activate both the hERG channel and the contractile characteristics of cardiomyocytes. The effect of ion channel blockers on the field potential duration (FPD) of the cardiomyocytes is compared with several contractility-based parameters. The contraction-relaxation duration (CRD) profile is relatively close to that of FPD in tested drugs (half-maximal (IC50) toxicities are 1.093 μM (FPD) and 1.924 μM (CRD) for quinidine and 166.2 nM (FPD) and 459.4 nM (CRD) for verapamil). Blebbistatin, a known myosin II inhibitor, primarily affects the contractile profile of cardiomyocytes but not their field potential, with no evident correlation between contractility and field potential profiles. The proposed cantilever-based mechano-electrophysiology measurements platform provides a promising and accurate means to assess cardiotoxicity.

In silico Drug Screening Approach Using L1000-Based Connectivity Map and Its Application to COVID-19.

Conventional drug screening methods search for a limited number of small molecules that directly interact with the target protein. This process can be slow, cumbersome and has driven the need for developing new drug screening approaches to counter rapidly emerging diseases such as COVID-19. We propose a pipeline for drug repurposing combining in silico drug candidate identification followed by in vitro characterization of these candidates. We first identified a gene target of interest, the entry receptor for the SARS-CoV-2 virus, angiotensin converting enzyme 2 (ACE2). Next, we employed a gene expression profile database, L1000-based Connectivity Map to query gene expression patterns in lung epithelial cells, which act as the primary site of SARS-CoV-2 infection. Using gene expression profiles from 5 different lung epithelial cell lines, we computationally identified 17 small molecules that were predicted to decrease ACE2 expression. We further performed a streamlined validation in the normal human epithelial cell line BEAS-2B to demonstrate that these compounds can indeed decrease ACE2 surface expression and to profile cell health and viability upon drug treatment. This proposed pipeline combining in silico drug compound identification and in vitro expression and viability characterization in relevant cell types can aid in the repurposing of FDA-approved drugs to combat rapidly emerging diseases.

Anti-Cancer Drug Screening with Microfluidic Technology

The up-and-coming microfluidic technology is the most promising platform for designing anti-cancer drugs and new point-of-care diagnostics. Compared to conventional drug screening methods based on Petri dishes and animal studies, drug delivery in microfluidic systems has many advantages. For instance, these platforms offer high-throughput drug screening, require a small number of samples, provide an in vivo-like microenvironment for cells, and eliminate ethical issues associated with animal studies. Multiple cell cultures in microfluidic chips could better mimic the 3D tumor environment using low reagents consumption. The clinical experiments have shown that combinatorial drug treatments have a better therapeutic effect than monodrug therapy. Many attempts have been made in this field in the last decade. This review highlights the applications of microfluidic chips in anti-cancer drug screening and systematically categorizes these systems as a function of sample size and combination of drug screening. Finally, it provides a perspective on the future of the clinical applications of microfluidic systems for anti-cancer drug development.

3D Printed Nanocellulose Scaffolds as a Cancer Cell Culture Model System.

Current conventional cancer drug screening models based on two-dimensional (2D) cell culture have several flaws and there is a large need of more in vivo mimicking preclinical drug screening platforms. The microenvironment is crucial for the cells to adapt relevant in vivo characteristics and here we introduce a new cell culture system based on three-dimensional (3D) printed scaffolds using cellulose nanofibrils (CNF) pre-treated with 2,2,6,6-tetramethylpyperidine-1-oxyl (TEMPO) as the structural material component. Breast cancer cell lines, MCF7 and MDA-MB-231, were cultured in 3D TEMPO-CNF scaffolds and were shown by scanning electron microscopy (SEM) and histochemistry to grow in multiple layers as a heterogenous cell population with different morphologies, contrasting 2D cultured mono-layered cells with a morphologically homogenous cell population. Gene expression analysis demonstrated that 3D TEMPO-CNF scaffolds induced elevation of the stemness marker CD44 and the migration markers VIM and SNAI1 in MCF7 cells relative to 2D control. T47D cells confirmed the increased level of the stemness marker CD44 and migration marker VIM which was further supported by increased capacity of holoclone formation for 3D cultured cells. Therefore, TEMPO-CNF was shown to represent a promising material for 3D cell culture model systems for cancer cell applications such as drug screening.

High-Content Analysis-Based Sensitivity Prediction and Novel Therapeutics Screening for c-Met-Addicted Glioblastoma.

Simple SummaryReal-time ex vivo drug testing tailors individual therapeutics based on predicted drug responses. Most technologies to date rely on conventional drug screening that provides low confidence data. Here, we present high-content analysis-based drug testing of glioblastoma patients to identify the right glioblastoma patients for a given drug. This generates multi-parameter biomarker and phenotype readouts providing a better reliability of the assay. Additionally, we showed a high-content drug repurposing screen and defined a new c-Met-inhibiting function of the CDK4/6 inhibitor Abemaciclib. Large-scale high throughput screening results demonstrate that Abemaciclib sensitivity in glioblastoma patients is highly correlated with the c-Met inhibitors sensitivity, further supporting the accuracy of the platform and important new clinical implications regarding multiple functions of Abemaciclib.(1) Background: Recent advances in precision oncology research rely on indicating specific genetic alterations associated with treatment sensitivity. Developing ex vivo systems to identify cancer patients who will respond to a specific drug remains important. (2) Methods: cells from 12 patients with glioblastoma were isolated, cultured, and subjected to high-content screening. Multi-parameter analyses assessed the c-Met level, cell viability, apoptosis, cell motility, and migration. A drug repurposing screen and large-scale drug sensitivity screening data across 59 cancer cell lines and patient-derived cells were obtained from 125 glioblastoma samples. (3) Results: High-content analysis of patient-derived cells provided robust and accurate drug responses to c-Met-targeted agents. Only the cells of one glioblastoma patient (PDC6) showed elevated c-Met level and high susceptibility to the c-Met inhibitors. Multi-parameter image analysis also reflected a decreased c-Met expression and reduced cell growth and motility by a c-Met-targeting antibody. In addition, a drug repurposing screen identified Abemaciclib as a distinct CDK4/6 inhibitor with a potent c-Met-inhibitory function. Consistent with this, we present large-scale drug sensitivity screening data showing that the Abemaciclib response correlates with the response to c-Met inhibitors. (4) Conclusions: Our study provides a new insight into high-content screening platforms supporting drug sensitivity prediction and novel therapeutics screening.

Micropatterned Coculture Platform for Screening Nerve-Related Anticancer Drugs.

Accumulating evidence suggests that the neural microenvironment plays a vital role in the development and metastasis of cancers. The development of drug candidates or drug combinations targeting the neural microenvironment is thus becoming increasingly urgent. However, the low content of conventional drug screening platforms is a bottleneck that limits the drug evaluation process. In this study, we present a micropatterned coculture-based high-content (μCHC) platform by integrating a micropatterned coculture chip with the high-content analysis (HCA) system, for studying the neuron-cancer cell interactions and drug screening (simultaneously detecting 96 kinds of post-drug-treated conditions). We investigate the contribution of neurons on the migration of cancer cells from different tissues and validate the capability of the μCHC system to study the interaction between neurons and cancer cells. Moreover, we test the effects of individual or combinatory agents targeting the neuron or cancer cell on the neuron-cancer cell interactions, which proposes an optimized therapy regime for targeting both nervous and cancerous factors. Our study suggests that the μCHC system is a facile platform for screening drug candidates or drug combinations for clinical cancer therapy with high efficiency and fidelity.

Drugs of Abuse and the Nervous System.

This article discusses the neurologic complications of traditional, nontraditional, and emerging drugs of abuse. The manufacture, distribution, and use of so-called designer drugs are increasing. These agents can induce dramatic neurologic manifestations and can evade identification on conventional drug-screening assays. Additionally, gabapentinoids, drug agents that are very familiar to neurologists, are being abused in the general population at increasing rates to achieve euphoric highs and potentiate the effects of opiates. Furthermore, even well-known illicit narcotics such as heroin are posing dangers above their baseline because of "lacing" with additives or substitutes such as fentanyl and related compounds. These clandestine agents increase the potency of what are thought to be typical dosages to lethal levels, thus leading to more unintentional overdose deaths. The potential for short- and long-term nervous system injury from drug abuse is well established. However, it is important for the practicing neurologist to possess awareness of the features and observed sequelae of the toxidromes of both traditional and nontraditional drugs of abuse. This is because the use of both is widespread in our society and conventional drug screening can miss detection of some powerful agents, thus forcing us to maintain a high index of suspicion based on recognition of the clinical features.

Optimization of cell viability assays to improve replicability and reproducibility of cancer drug sensitivity screens

Cancer drug development has been riddled with high attrition rates, in part, due to poor reproducibility of preclinical models for drug discovery. Poor experimental design and lack of scientific transparency may cause experimental biases that in turn affect data quality, robustness and reproducibility. Here, we pinpoint sources of experimental variability in conventional 2D cell-based cancer drug screens to determine the effect of confounders on cell viability for MCF7 and HCC38 breast cancer cell lines treated with platinum agents (cisplatin and carboplatin) and a proteasome inhibitor (bortezomib). Variance component analysis demonstrated that variations in cell viability were primarily associated with the choice of pharmaceutical drug and cell line, and less likely to be due to the type of growth medium or assay incubation time. Furthermore, careful consideration should be given to different methods of storing diluted pharmaceutical drugs and use of DMSO controls due to the potential risk of evaporation and the subsequent effect on dose-response curves. Optimization of experimental parameters not only improved data quality substantially but also resulted in reproducible results for bortezomib- and cisplatin-treated HCC38, MCF7, MCF-10A, and MDA-MB-436 cells. Taken together, these findings indicate that replicability (the same analyst re-performs the same experiment multiple times) and reproducibility (different analysts perform the same experiment using different experimental conditions) for cell-based drug screens can be improved by identifying potential confounders and subsequent optimization of experimental parameters for each cell line.

Development of a Gut-On-A-Chip Model for High Throughput Disease Modeling and Drug Discovery.

A common bottleneck in any drug development process is finding sufficiently accurate models that capture key aspects of disease development and progression. Conventional drug screening models often rely on simple 2D culture systems that fail to recapitulate the complexity of the organ situation. In this study, we show the application of a robust high throughput 3D gut-on-a-chip model for investigating hallmarks of inflammatory bowel disease (IBD). Using the OrganoPlate platform, we subjected enterocyte-like cells to an immune-relevant inflammatory trigger in order to recapitulate key events of IBD and to further investigate the suitability of this model for compound discovery and target validation activities. The induction of inflammatory conditions caused a loss of barrier function of the intestinal epithelium and its activation by increased cytokine production, two events observed in IBD physiopathology. More importantly, anti-inflammatory compound exposure prevented the loss of barrier function and the increased cytokine release. Furthermore, knockdown of key inflammatory regulators RELA and MYD88 through on-chip adenoviral shRNA transduction alleviated IBD phenotype by decreasing cytokine production. In summary, we demonstrate the routine use of a gut-on-a-chip platform for disease-specific aspects modeling. The approach can be used for larger scale disease modeling, target validation and drug discovery purposes.

Recent advances in microfluidics for drug screening.

With ever increasing drug resistance and emergence of new diseases, demand for new drug development is at an unprecedented urgency. This fact has led to extensive recent efforts to develop new drugs and novel techniques for efficient drug screening. However, new drug development is commonly hindered by cost and time span. Thus, developing more accessible, cost-effective methods for drug screening is necessary. Compared with conventional drug screening methods, a microfluidic-based system has superior advantages in sample consumption, reaction time, and cost of the operation. In this paper, the advantages of microfluidic technology in drug screening as well as the critical factors for device design are described. The strategies and applications of microfluidics for drug screening are reviewed. Moreover, current limitations and future prospects for a drug screening microdevice are also discussed.

Novel neuromuscular junction model in 2D and 3D myotubes co-cultured with induced pluripotent stem cell-derived motor neurons

Motor neurons differentiated from induced pluripotent stem (iPS) cells have attracted attention for use in the construction of drug screening systems for neuronal diseases, such as amyotrophic lateral sclerosis. However, conventional drug screening systems using 2-dimensional (2D) cultures of iPS cell-derived motor neurons often evaluate the cell survival rate, morphological changes in the cells and/or gene expression analysis, and these parameters do not always reflect the actual functions of motor neurons, i.e., the induction of muscle contractions. In the present study, we developed a neuromuscular junction model comprising motor neurons and myotubes, which were differentiated from iPS cells and C2C12 myoblasts, respectively. Using this model, the contractile activity and force generation of the myotubes via the neuromuscular junction were successfully measured in both two- and three-dimensional (3D) cell culture systems. The results suggested that this neuromuscular junction model can be used to construct a drug candidate screening system for neuronal diseases.

Engineering brain activity patterns by neuromodulator polytherapy for treatment of disorders

Conventional drug screens and treatments often ignore the underlying complexity of brain network dysfunctions, resulting in suboptimal outcomes. Here we ask whether we can correct abnormal functional connectivity of the entire brain by identifying and combining multiple neuromodulators that perturb connectivity in complementary ways. Our approach avoids the combinatorial complexity of screening all drug combinations. We develop a high-speed platform capable of imaging more than 15000 neurons in 50ms to map the entire brain functional connectivity in large numbers of vertebrates under many conditions. Screening a panel of drugs in a zebrafish model of human Dravet syndrome, we show that even drugs with related mechanisms of action can modulate functional connectivity in significantly different ways. By clustering connectivity fingerprints, we algorithmically select small subsets of complementary drugs and rapidly identify combinations that are significantly more effective at correcting abnormal networks and reducing spontaneous seizures than monotherapies, while minimizing behavioral side effects. Even at low concentrations, our polytherapy performs superior to individual drugs even at highest tolerated concentrations.

Cell-Based Assays on Microfluidics for Drug Screening.

Microfluidics is an appealing platform for drug screening and discovery. Compared with the conventional drug screening methods based on Petri dishes and experimental animals, microfluidic devices have many advantages including miniaturized size, ease-to-use, high sensitivity, and high throughput. More importantly, bioassays on microfluidics can avoid ethical issues which can be a big obstacle hindering the performance of the experiments on animals or human being. Furthermore, three-dimensional (3D) microchips can recapitulate various biochemical and biophysical conditions in vivo and mimic the natural microenvironment of the tissues/organs, providing versatile in vitro models for biomedical applications. In this Perspective, we will focus on the cell-based microfluidic assays for drug screening. Meanwhile, we also propose potential solutions for the difficulties in this field and discuss the prospects of microfluidics-based technologies for drug screening.

Ricin Poisoning after Oral Ingestion of Castor Beans: A Case Report and Review of the Literature and Laboratory Testing

BackgroundRicin is a protein toxin derived from the castor bean plant Ricinus communis. Several cases secondary to its consumption have been published and, more recently, its use as a potential bioterrorism agent has also been reported. Oral absorption of ricin is highly erratic, leading to a wide spectrum of symptoms. In addition, conventional urine drug screening tests will not be able to detect this compound, posing a diagnostic challenge. Case ReportA male teenager intended to die by ingesting 200 castor beans after mixing and blending them with juice. Eight hours later, he presented with weakness, light-headedness, nausea, and vomiting and sought medical treatment. The patient was admitted and treated conservatively. An immune-based standard urine toxicology drug screen panel was reported as negative. A comprehensive untargeted urine drug screen test showed the presence of ricinine, a surrogate marker of ricin intoxication. He was transferred to the psychiatric service 3 days after admission. Why Should an Emergency Physician Be Aware of This?This case highlights the importance of knowing the peculiar pharmacokinetic properties of ricin after oral ingestion of castor beans and toxin release through mastication. Emergency physicians should be aware that oral absorption of ricin is dependent on several factors, such type and size of seeds and the geographic harvesting region, making it extremely difficult to estimate its lethality based solely on the number of ingested beans. Finally, comprehensive untargeted urine drug screening testing is highly valuable as a diagnostic tool in this context.

Target Abundance-Based Fitness Screening (TAFiS) Facilitates Rapid Identification of Target-Specific and Physiologically Active Chemical Probes

Traditional approaches to drug discovery are frustratingly inefficient and have several key limitations that severely constrain our capacity to rapidly identify and develop novel experimental therapeutics. To address this, we have devised a second-generation target-based whole-cell screening assay based on the principles of competitive fitness, which can rapidly identify target-specific and physiologically active compounds. Briefly, strains expressing high, intermediate, and low levels of a preselected target protein are constructed, tagged with spectrally distinct fluorescent proteins (FPs), and pooled. The pooled strains are then grown in the presence of various small molecules, and the relative growth of each strain within the mixed culture is compared by measuring the intensity of the corresponding FP tags. Chemical-induced population shifts indicate that the bioactivity of a small molecule is dependent upon the target protein's abundance and thus establish a specific functional interaction. Here, we describe the molecular tools required to apply this technique in the prevalent human fungal pathogen Candida albicans and validate the approach using two well-characterized drug targets-lanosterol demethylase and dihydrofolate reductase. However, our approach, which we have termed target abundance-based fitness screening (TAFiS), should be applicable to a wide array of molecular targets and in essentially any genetically tractable microbe. IMPORTANCE Conventional drug screening typically employs either target-based or cell-based approaches. The first group relies on biochemical assays to detect modulators of a purified target. However, hits frequently lack drug-like characteristics such as membrane permeability and target specificity. Cell-based screens identify compounds that induce a desired phenotype, but the target is unknown, which severely restricts further development and optimization. To address these issues, we have developed a second-generation target-based whole-cell screening approach that incorporates the principles of both chemical genetics and competitive fitness, which enables the identification of target-specific and physiologically active compounds from a single screen. We have chosen to validate this approach using the important human fungal pathogen Candida albicans with the intention of pursuing novel antifungal targets. However, this approach is broadly applicable and is expected to dramatically reduce the time and resources required to progress from screening hit to lead compound.