Retinal Microvasculature-on-a-Chip for Modeling VEGF-Induced Permeability.

Relevant human in vitro models of the retinal microvasculature can be used to study the role of disease mediators on retinal barrier dysfunction and assess the efficacy of early drug candidates. This chapter describes an organ-on-a-chip model of the retinal microvasculature that allows for facile quantification of barrier permeability in response to leakage mediators, such as Vascular Endothelial Growth Factor (VEGF), and enables screening of VEGF-induced permeability inhibitors. This chapter also presents an automated confocal imaging method for the visualization of endothelial tube morphology as an additional measure of barrier integrity.

Human immunocompetent choroid-on-chip: a novel tool for studying ocular effects of biological drugs.

Disorders of the eye leading to visual impairment are a major issue that affects millions of people. On the other side ocular toxicities were described for e.g. molecularly targeted therapies in oncology and may hamper their development. Current ocular model systems feature a number of limitations affecting human-relevance and availability. To find new options for pharmacological treatment and assess mechanisms of toxicity, hence, novel complex model systems that are human-relevant and readily available are urgently required. Here, we report the development of a human immunocompetent Choroid-on-Chip (CoC), a human cell-based in vitro model of the choroid layer of the eye integrating melanocytes and microvascular endothelial cells, covered by a layer of retinal pigmented epithelial cells. Immunocompetence is achieved by perfusion of peripheral immune cells. We demonstrate controlled immune cell recruitment into the stromal compartments through a vascular monolayer and in vivo-like cytokine release profiles. To investigate applicability for both efficacy testing of immunosuppressive compounds as well as safety profiling of immunoactivating antibodies, we exposed the CoCs to cyclosporine and tested CD3 bispecific antibodies.

A Human Three-Dimensional In Vitro Model of Lens Epithelial Cells as a Model to Study Mechanisms of Drug-Induced Posterior Subcapsular Cataracts.

Purpose: Cataract is a pathological opacification of the lens, which is still one of the leading causes of blindness in the world. Several etiologies are described, among them drug-induced cataract, for example, posterior subcapsular cataract (PSC) after steroid treatment. To investigate different mechanisms of drug-induced cataract a human three-dimensional (3D) lens in vitro model was developed, consisting of immortalized human lens epithelial cells. Methods: These cells were cultivated on 96-well, ultralow attachment plates, where they rapidly form spheroids. By gene expression analysis different markers were observed, which are important to maintain lens transparency, such as ephrin type-A receptor 2 (EphA2) or α-smooth muscle actin (α-SMA). Results: The lens epithelial cells form a spheroid within a few days and show stable expression of important lens marker, and size and viability remain stable up to 26 days in culture. The gene expression of the glucocorticoid-treated spheroids revealed a clear shift in the expression of EphA2, α-SMA, αB-crystallin (CRYAB), and heat shock protein beta-1 (HSPB1). Furthermore, the glucocorticoid treatment did not improve cell survival. Conclusions: This study proposes a useful 3D in vitro model, which expresses important lens markers and is capable of demonstrating features found in drug-induced cataracts. As the viability remains stable over long time, this model can also be used for long-term treatment. The main characteristics are the increased expression of α-SMA, CRYAB, and HSPB1 and the decreased expression of EphA2. The present data provide some first evidence on novel mechanisms involved in glucocorticoid-induced cataracts.

Culture and Drug Profiling of Patient Derived Malignant Pleural Effusions for Personalized Cancer Medicine.

INTRODUCTION: The use of patients' own cancer cells for in vitro selection of the most promising treatment is an attractive concept in personalized medicine. Human carcinoma cells from malignant pleural effusions (MPEs) are suited for this purpose since they have already adapted to the liquid environment in the patient and do not depend on a stromal cell compartment. Aim of this study was to develop a systematic approach for the in-vitro culture of MPEs to analyze the effect of chemotherapeutic as well as targeted drugs. METHODS: MPEs from patients with solid tumors were selected for this study. After morphological and molecular characterization, they were cultured in medium supplemented with patient-derived sterile-filtered effusion supernatant. Growth characteristics were monitored in real-time using the xCELLigence system. MPEs were treated with a targeted therapeutic (erlotinib) according to the mutational status or chemotherapeutics based on the recommendation of the oncologists. RESULTS: We have established a robust system for the ex-vivo culture of MPEs and the application of drug tests in-vitro. The use of an antibody based magnetic cell separation system for epithelial cells before culture allowed treatment of effusions with only moderate tumor cell proportion. Experiments using drugs and drug-combinations revealed dose-dependent and specific growth inhibitory effects of targeted drugs. CONCLUSIONS: We developed a new approach for the ex-vivo culture of MPEs and the application of drug tests in-vitro using real-time measuring of cell growth, which precisely reproduced the effect of clinically established treatments by standard chemotherapy and targeted drugs. This sets the stage for future studies testing agents against specific targets from genomic profiling of metastatic tumor cells and multiple drug-combinations in a personalized manner.

Model-based assessment of erlotinib effect in vitro measured by real-time cell analysis.

Real time cell analysis (RTCA) is an impedance-based technology which tracks various living cell characteristics over time, such as their number, morphology or adhesion to the extra cellular matrix. However, there is no consensus about how RTCA data should be used to quantitatively evaluate pharmacodynamic parameters which describe drug efficacy or toxicity. The purpose of this work was to determine how RTCA data can be analyzed with mathematical modeling to explore and quantify drug effect in vitro. The pharmacokinetic-pharmacodynamic erlotinib concentration profile predicted by the model and its effect on the human epidermoïd carcinoma cell line A431 in vitro was measured through RTCA output, designated as cell index. A population approach was used to estimate model parameter values, considering a plate well as the statistical unit. The model related the cell index to the number of cells by means of a proportionality factor. Cell growth was described by an exponential model. A delay between erlotinib pharmacokinetics and cell killing was described by a transit compartment model, and the effect potency, by an E max function of erlotinib concentration. The modeling analysis performed on RTCA data distinguished drug effects in vitro on cell number from other effects likely to modify the relationship between cell index and cell number. It also revealed a time-dependent decrease of erlotinib concentration over time, described by a mono-exponential pharmacokinetic model with nonspecific binding.