Co-culture platform for tuning of cancer receptor density allows for evaluation of bispecific immune cell engagers

Cancer immunotherapy, where a patient's immune system is harnessed to eradicate cancer cells selectively, is a leading strategy for cancer treatment. However, successes with immune checkpoint inhibitors (ICI) are hampered by reported systemic and organ-specific toxicities and by two-thirds of the patients being non-responders or subsequently acquiring resistance to approved ICIs. Hence substantial efforts are invested in discovering novel targeted immunotherapies aimed at reduced side-effects and improved potency. One way is utilizing the dual targeting feature of bispecific antibodies, which have made them increasingly popular for cancer immunotherapy. Easy and predictive screening methods for activation ranking of candidate drugs in tumor contra non-tumor environments are however lacking. Herein, we present a cell-based assay mimicking the tumor microenvironment by co-culturing B cells with engineered human embryonic kidney 293 T cells (HEK293T), presenting a controllable density of platelet-derived growth factor receptor β (PDGFRβ). A target density panel with three different surface protein levels on HEK293T cells was established by genetic constructs carrying regulatory elements limiting RNA translation of PDGFRβ. We employed a bispecific antibody-affibody construct called an AffiMab capable of binding PDGFRβ on cancer cells and CD40 expressed by B cells as a model. Specific activation of CD40-mediated signaling of immune cells was demonstrated with the two highest receptor-expressing cell lines, Level 2/3 and Level 4, while low-to-none in the low-expressing cell lines. The concept of receptor tuning and the presented co-culture protocol may be of general utility for assessing and developing novel bi-specific antibodies for immuno-oncology applications.

Development of a high-throughput screening platform to identify new therapeutic agents for Medulloblastoma Group 3

Pediatric brain tumors (PBTs) represent about 25 % of all pediatric cancers and are the most common solid tumors in children and adolescents. Medulloblastoma (MB) is the most frequently occurring malignant PBT, accounting for almost 10 % of all pediatric cancer deaths. MB Group 3 (MB G3) accounts for 25-30 % of all MB cases and has the worst outcome, particularly when associated with MYC amplification. However, no targeted treatments for this group have been developed so far. Here we describe a unique high throughput screening (HTS) platform specifically designed to identify new therapies for MB G3. The platform incorporates optimized and validated 2D and 3D efficacy and toxicity models, that account for tumor heterogenicity, limited efficacy and unacceptable toxicity from the very early stage of drug discovery. The platform has been validated by conducting a pilot HTS campaign with a 1280 lead-like compound library. Results showed 8 active compounds, targeting MB reported targets and several are currently approved or in clinical trials for pediatric patients with PBTs, including MB. Moreover, hits were combined to avoid tumor resistance, identifying 3 synergistic pairs, one of which is currently under clinical study for recurrent MB and other PBTs.

Advanced in vitro models for renal cell carcinoma therapy design

Renal cell carcinoma (RCC) and its principal subtype, clear cell RCC, are the most diagnosed kidney cancer. Despite substantial improvement over the last decades, current pharmacological intervention still fails to achieve long-term therapeutic success. RCC is characterized by a high intra- and inter-tumoral heterogeneity and is heavily influenced by the crosstalk of the cells composing the tumor microenvironment, such as cancer-associated fibroblasts, endothelial cells and immune cells. Moreover, multiple physicochemical properties such as pH, interstitial pressure or oxygenation may also play an important role. These elements are often poorly recapitulated in in vitro models used for drug development. This inadequate recapitulation of the tumor is partially responsible for the current lack of an effective and curative treatment. Therefore, there are needs for more complex in vitro or ex vivo drug screening models. In this review, we discuss the current state-of-the-art of RCC models and suggest strategies for their further development.

Development of a screening platform to discover natural products active against SARS-CoV-2 infection using lung organoid models

BACKGROUND

Natural products can serve as one of the alternatives, exhibiting high potential for the treatment and prevention of COVID-19, caused by SARS-CoV-2. Herein, we report a screening platform to test the antiviral efficacy of a natural product library against SARS-CoV-2 and verify their activity using lung organoids.

METHODS

Since SARS-CoV-2 is classified as a risk group 3 pathogen, the drug screening assay must be performed in a biosafety level 3 (BSL-3) laboratory. To circumvent this limitation, pseudotyped viruses (PVs) have been developed as replacements for the live SARS-CoV-2. We developed PVs containing spikes from Delta and Omicron variants of SARS-CoV-2 and improved the infection in an angiotensin-converting enzyme 2 (ACE2)-dependent manner. Human induced pluripotent stem cells (hiPSCs) derived lung organoids were generated to test the SARS-CoV-2 therapeutic efficacy of natural products.

RESULTS

Flavonoids from our natural product library had strong antiviral activity against the Delta- or Omicron-spike-containing PVs without affecting cell viability. We aimed to develop strategies to discover the dual function of either inhibiting infection at the beginning of the infection cycle or reducing spike stability following SARS-CoV-2 infection. When lung cells are already infected with the virus, the active flavonoids induced the degradation of the spike protein and exerted anti-inflammatory effects. Further experiments confirmed that the active flavonoids had strong antiviral activity in lung organoid models.

CONCLUSION

This screening platform will open new paths by providing a promising standard system for discovering novel drug leads against SARS-CoV-2 and help develop promising candidates for clinical investigation as potential therapeutics for COVID-19.

High-molecular weight impurity screening by size-exclusion chromatography on a reversed-phase column

Monitoring polymerization events leading to the discovery of new high-molecular weight (MW) impurities is challenging during chemical syntheses of active pharmaceutical ingredients. Employing reversed-phase chromatography (RPC) stationary phases (SPs) in size-exclusion chromatography (SEC) mode could be a potential solution given their high efficiency, sensitivity, and extensive solvent compatibility. However, there is a lack of generalized means for trace polymeric impurities across a wide range of physicochemical properties. Herein, we developed a SEC-based approach with a C18 SP for screening such high-MW impurities. Seven polymer standards presenting a variety of functional groups, consisting of hydrophobic, heterocyclic, ionic, and neutral hydrophilic moieties, were utilized as model impurities to establish the screening conditions. Nine mobile phases (tetrahydrofuran-based, buffered methanol, and buffered acetonitrile) were proposed to cover all model polymers and a majority of potential high-MW impurities in small molecule chemical syntheses. The established screening system demonstrated a linearity of 0.05-1.0 % w/w (R²>0.99) for the selected model impurities with proper elution conditions. Two real high-MW impurities, BMT-041910 (polymeric degradation) and poly(phenyl thiirane) (by-product polymerization), were identified from the proposed high-MW impurity screening. The successful conditions yielded a quantitative limit better than 0.1 % w/w in both cases. We believe the developed screening platform is applicable to the analysis of a wide variety of unknown high-MW impurities of low abundance potentially generated during drug substance development.

Evaluation of the yeast surface display system for screening of functional nanobodies

Yeast surface display is a powerful technology used to isolate and engineer proteins to improve their activity, specificity, and stability. In this method, gene expression is regulated by promoters, and secretion efficiency is affected by secretion signals. Furthermore, both the accessibility and activity of the displayed proteins are affected by the length of anchor proteins. The ideal promoter, secretion signal, and anchor protein combination depend on the proteins of interest. In this study, we optimized a yeast surface display suitable for nanobody evaluation. We designed five display systems that used different combinations of promoters, secretion signals, and anchor proteins. Anti-hen egg-white lysozyme nanobody was used as the model nanobody. The amount of nanobodies displayed on yeast cells, the number of antigens bound to the displayed nanobodies, and the display efficiency were quantified. Overall, we improved the yeast display system for nanobody engineering and proposed its optimization.

In Vitro Screening Platforms for Identifying Autophagy Modulators in Mammalian Cells

Autophagy is a vital homeostatic pathway essential for cellular survival and human health. It primarily functions as an intracellular degradation process for the turnover of aggregation-prone proteins and unwanted organelles. Dysregulation of autophagy underlying diverse human diseases reduces cell viability, whereas stimulation of autophagy is cytoprotective in a number of transgenic disease models including neurodegenerative disorders. Thus, therapeutic exploitation of autophagy is considered a potential treatment strategy in certain human diseases, and therefore, chemical inducers of autophagy have tremendous biomedical relevance. In this review, we describe the in vitro screening platforms to identify autophagy modulators in mammalian cells using various methodologies including fluorescence and high-content imaging, flow cytometry, fluorescence and luminescence detection by microplate reader, immunoblotting, and immunofluorescence. The commonly used autophagy reporters in these screening platforms are either based on autophagy marker like LC3 or autophagy substrate such as aggregation-prone proteins or p62/SQSTM1. The reporters and assays for monitoring autophagy are evolving over time to become more sensitive in measuring autophagic flux with the capability of high-throughput applications for drug discovery. Here we highlight these developments and also describe the stringent secondary autophagy assays for characterizing the autophagy modulators arising from the primary screen. Since autophagy is implicated in myriad human physiological and pathological conditions, these technologies will enable identifying novel chemical modulators or genetic regulators of autophagy that will be of biomedical and fundamental importance to human health.

Opportunities and challenges for using the zebrafish to study neuronal connectivity as an endpoint of developmental neurotoxicity

Chemical exposures have been implicated as environmental risk factors that interact with genetic susceptibilities to influence individual risk for complex neurodevelopmental disorders, including autism spectrum disorder, schizophrenia, attention deficit hyperactivity disorder and intellectual disabilities. Altered patterns of neuronal connectivity represent a convergent mechanism of pathogenesis for these and other neurodevelopmental disorders, and growing evidence suggests that chemicals can interfere with specific signaling pathways that regulate the development of neuronal connections. There is, therefore, a growing interest in developing screening platforms to identify chemicals that alter neuronal connectivity. Cell-cell, cell-matrix interactions and systemic influences are known to be important in defining neuronal connectivity in the developing brain, thus, a systems-based model offers significant advantages over cell-based models for screening chemicals for effects on neuronal connectivity. The embryonic zebrafish represents a vertebrate model amenable to higher throughput chemical screening that has proven useful in characterizing conserved mechanisms of neurodevelopment. Moreover, the zebrafish is readily amenable to gene editing to integrate genetic susceptibilities. Although use of the zebrafish model in toxicity testing has increased in recent years, the diverse tools available for imaging structural differences in the developing zebrafish brain have not been widely applied to studies of the influence of gene by environment interactions on neuronal connectivity in the developing zebrafish brain. Here, we discuss tools available for imaging of neuronal connectivity in the developing zebrafish, review what has been published in this regard, and suggest a path forward for applying this information to developmental neurotoxicity testing.

Screening a repurposing library for potentiators of antibiotics against Staphylococcus aureus biofilms

Staphylococcus aureus biofilms are involved in a wide range of infections that are extremely difficult to treat with conventional antibiotic therapy. We aimed to identify potentiators of antibiotics against mature biofilms of S. aureus Mu50, a methicillin-resistant and vancomycin-intermediate-resistant strain. Over 700 off-patent drugs from a repurposing library were screened in combination with vancomycin in a microtitre plate (MTP)-based biofilm model system. This led to the identification of 25 hit compounds, including four phenothiazines among which thioridazine was the most potent. Their activity was evaluated in combination with other antibiotics both against planktonic and biofilm-grown S. aureus cells. The most promising combinations were subsequently tested in an in vitro chronic wound biofilm infection model. Although no synergistic activity was observed against planktonic cells, thioridazine potentiated the activity of tobramycin, linezolid and flucloxacillin against S. aureus biofilm cells. However, this effect was only observed in a general biofilm model and not in a chronic wound model of biofilm infection. Several drug compounds were identified that potentiated the activity of vancomycin against biofilms formed in a MTP-based biofilm model. A selected hit compound lost its potentiating activity in a model that mimics specific aspects of wound biofilms. This study provides a platform for discovering and evaluating potentiators against bacterial biofilms and highlights the necessity of using relevant in vitro biofilm model systems.

Developing an in vitro screening assay platform for evaluation of antifibrotic drugs using precision-cut liver slices

Background

Precision-cut liver slices present different cell types of liver in a physiological context, and they have been explored as effective in vitro model systems to study liver fibrosis. Inducing fibrosis in the liver slices using toxicants like carbon tetrachloride is of less relevance to human disease conditions. Our aim for this study was to establish physiologically relevant conditions in vitro to induce fibrotic phenotypes in the liver slices.

Results

Precision-cut liver slices of 150 μm thickness were obtained from female C57BL/6 J mice. The slices were cultured for 24 hours in media containing a cocktail of 10 nM each of TGF-β, PDGF, 5 μM each of lysophosphatidic acid and sphingosine 1 phosphate and 0.2 μg/ml of lipopolysaccharide along with 500 μM of palmitate and were analyzed for triglyceride accumulation, stress and inflammation, myofibroblast activation and extracellular matrix (ECM) accumulation. Incubation with the cocktail resulted in increased triglyceride accumulation, a hallmark of steatosis. The levels of Acta2, a hallmark of myofibroblast activation and the levels of inflammatory genes (IL-6, TNF-α and C-reactive protein) were significantly elevated. In addition, this treatment resulted in increased levels of ECM markers - collagen, lumican and fibronectin.

Conclusions

This study reports the experimental conditions required to induce fibrosis associated with steatohepatitis using physiologically relevant inducers. The system presented here captures various aspects of the fibrosis process like steatosis, inflammation, stellate cell activation and ECM accumulation and serves as a platform to study the liver fibrosis in vitro and to screen small molecules for their antifibrotic activity.