scholarly journals A vascularized and perfused organ-on-a-chip platform for large-scale drug screening applications

Lab on a Chip ◽  
2017 ◽  
Vol 17 (3) ◽  
pp. 511-520 ◽  
Author(s):  
Duc T. T. Phan ◽  
Xiaolin Wang ◽  
Brianna M. Craver ◽  
Agua Sobrino ◽  
Da Zhao ◽  
...  

A vascularized, perfused organ-on-a-chip platform suitable for large-scale drug efficacy/toxicity screening.

2021 ◽  
Vol 22 (5) ◽  
pp. 2659
Author(s):  
Gianluca Costamagna ◽  
Giacomo Pietro Comi ◽  
Stefania Corti

In the last decade, different research groups in the academic setting have developed induced pluripotent stem cell-based protocols to generate three-dimensional, multicellular, neural organoids. Their use to model brain biology, early neural development, and human diseases has provided new insights into the pathophysiology of neuropsychiatric and neurological disorders, including microcephaly, autism, Parkinson’s disease, and Alzheimer’s disease. However, the adoption of organoid technology for large-scale drug screening in the industry has been hampered by challenges with reproducibility, scalability, and translatability to human disease. Potential technical solutions to expand their use in drug discovery pipelines include Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) to create isogenic models, single-cell RNA sequencing to characterize the model at a cellular level, and machine learning to analyze complex data sets. In addition, high-content imaging, automated liquid handling, and standardized assays represent other valuable tools toward this goal. Though several open issues still hamper the full implementation of the organoid technology outside academia, rapid progress in this field will help to prompt its translation toward large-scale drug screening for neurological disorders.


2021 ◽  
Vol 23 (Supplement_6) ◽  
pp. vi221-vi222
Author(s):  
Gerhard Jungwirth ◽  
Tao Yu ◽  
Cao Junguo ◽  
Catharina Lotsch ◽  
Andreas Unterberg ◽  
...  

Abstract Tumor-organoids (TOs) are novel, complex three-dimensional ex vivo tissue cultures that under optimal conditions accurately reflect genotype and phenotype of the original tissue with preserved cellular heterogeneity and morphology. They may serve as a new and exciting model for studying cancer biology and directing personalized therapies. The aim of our study was to establish TOs from meningioma (MGM) and to test their usability for large-scale drug screenings. We were capable of forming several hundred TO equal in size by controlled reaggregation of freshly prepared single cell suspension of MGM tissue samples. In total, standardized TOs from 60 patients were formed, including eight grade II and three grade III MGMs. TOs reaggregated within 3 days resulting in a reducted diameter by 50%. Thereafter, TO size remained stable throughout a 14 days observation period. TOs consisted of largely viable cells, whereas dead cells were predominantly found outside of the organoid. H&E stainings confirmed the successful establishment of dense tissue-like structures. Next, we assessed the suitability and reliability of TOs for a robust large-scale drug testing by employing nine highly potent compounds, derived from a drug screening performed on several MGM cell lines. First, we tested if drug responses depend on TO size. Interestingly, drug responses to these drugs remained identical independent of their sizes. Based on a sufficient representation of low abundance cell types such as T-cells and macrophages an overall number of 25.000 cells/TO was selected for further experiments revealing FDA-approved HDAC inhibitors as highly effective drugs in most of the TOs with a mean z-AUC score of -1.33. Taken together, we developed a protocol to generate standardized TO from MGM containing low abundant cell types of the tumor microenvironment in a representative manner. Robust and reliable drug responses suggest patient-derived TOs as a novel drug testing model in meningioma research.


2016 ◽  
Author(s):  
Nehme El-Hachem ◽  
Deena M.A. Gendoo ◽  
Laleh Soltan Ghoraie ◽  
Zhaleh Safikhani ◽  
Petr Smirnov ◽  
...  

ABSTRACTIdentification of drug targets and mechanism of action (MoA) for new and uncharacterlzed drugs is important for optimization of drug efficacy. Current MoA prediction approaches largely rely on prior information including side effects, therapeutic indication and/or chemo-informatics. Such information is not transferable or applicable for newly identified, previously uncharacterlzed small molecules. Therefore, a shift in the paradigm of MoA predictions is necessary towards development of unbiased approaches that can elucidate drug relationships and efficiently classify new compounds with basic input data. We propose a new integrative computational pharmacogenomlc approach, referred to as Drug Network Fusion (DNF), to infer scalable drug taxonomies that relies only on basic drug characteristics towards elucidating drug-drug relationships. DNF is the first framework to integrate drug structural information, high-throughput drug perturbation and drug sensitivity profiles, enabling drug classification of new experimental compounds with minimal prior information. We demonstrate that the DNF taxonomy succeeds in identifying pertinent and novel drug-drug relationships, making it suitable for investigating experimental drugs with potential new targets or MoA. We highlight how the scalability of DNF facilitates identification of key drug relationships across different drug categories, and poses as a flexible tool for potential clinical applications in precision medicine. Our results support DNF as a valuable resource to the cancer research community by providing new hypotheses on the compound MoA and potential insights for drug repurposlng.


2014 ◽  
Vol 59 (2) ◽  
pp. 753-762 ◽  
Author(s):  
Anita Ordas ◽  
Robert-Jan Raterink ◽  
Fraser Cunningham ◽  
Hans J. Jansen ◽  
Malgorzata I. Wiweger ◽  
...  

ABSTRACTThe translational value of zebrafish high-throughput screens can be improved when more knowledge is available on uptake characteristics of potential drugs. We investigated reference antibiotics and 15 preclinical compounds in a translational zebrafish-rodent screening system for tuberculosis. As a major advance, we have developed a new tool for testing drug uptake in the zebrafish model. This is important, because despite the many applications of assessing drug efficacy in zebrafish research, the current methods for measuring uptake using mass spectrometry do not take into account the possible adherence of drugs to the larval surface. Our approach combines nanoliter sampling from the yolk using a microneedle, followed by mass spectrometric analysis. To date, no single physicochemical property has been identified to accurately predict compound uptake; our method offers a great possibility to monitor how any novel compound behaves within the system. We have correlated the uptake data with high-throughput drug-screening data fromMycobacterium marinum-infected zebrafish larvae. As a result, we present an improved zebrafish larva drug-screening platform which offers new insights into drug efficacy and identifies potential false negatives and drugs that are effective in zebrafish and rodents. We demonstrate that this improved zebrafish drug-screening platform can complement conventional models ofin vivoMycobacterium tuberculosis-infected rodent assays. The detailed comparison of two vertebrate systems, fish and rodent, may give more predictive value for efficacy of drugs in humans.


2020 ◽  
Vol 21 (13) ◽  
pp. 4808 ◽  
Author(s):  
Simon Gutbier ◽  
Florian Wanke ◽  
Nadine Dahm ◽  
Anna Rümmelin ◽  
Silke Zimmermann ◽  
...  

Tissue-resident macrophages are key players in inflammatory processes, and their activation and functionality are crucial in health and disease. Numerous diseases are associated with alterations in homeostasis or dysregulation of the innate immune system, including allergic reactions, autoimmune diseases, and cancer. Macrophages are a prime target for drug discovery due to their major regulatory role in health and disease. Currently, the main sources of macrophages used for therapeutic compound screening are primary cells isolated from blood or tissue or immortalized or neoplastic cell lines (e.g., THP-1). Here, we describe an improved method to employ induced pluripotent stem cells (iPSCs) for the high-yield, large-scale production of cells resembling tissue-resident macrophages. For this, iPSC-derived macrophage-like cells are thoroughly characterized to confirm their cell identity and thus their suitability for drug screening purposes. These iPSC-derived macrophages show strong cellular identity with primary macrophages and recapitulate key functional characteristics, including cytokine release, phagocytosis, and chemotaxis. Furthermore, we demonstrate that genetic modifications can be readily introduced at the macrophage-like progenitor stage in order to interrogate drug target-relevant pathways. In summary, this novel method overcomes previous shortcomings with primary and leukemic cells and facilitates large-scale production of genetically modified iPSC-derived macrophages for drug screening applications.


2005 ◽  
Vol 23 (1) ◽  
pp. 205-229 ◽  
Author(s):  
M. Michael ◽  
M.M. Doherty

Drug-metabolizing enzymes (DME) in tumors are capable of biotransforming a variety of xenobiotics, including antineoplastics, resulting in either their activation or detoxification. Many studies have reported the presence of DME in tumors; however, heterogenous detection methodology and patient cohorts have not generated consistent, firm data. Nevertheless, various gene therapy approaches and oral prodrugs have been devised, taking advantage of tumoral DME. With the need to target and individualize anticancer therapies, tumoral processes such as drug metabolism must be considered as both a potential mechanism of resistance to therapy and a potential means of achieving optimal therapy. This review discusses cytotoxic drug metabolism by tumors, through addressing the classes of the individual DME, their relevant substrates, and their distribution in specific malignancies. The limitations of preclinical models relative to the clinical setting and lack of data on the changes of DME with disease progression and host response will be discussed. The therapeutic implications of tumoral drug metabolism will be addressed—in particular, the role of DME in predicting therapeutic response, the activation of prodrugs, and the potential for modulation of their activity for gain are considered, with relevant clinical examples. The contribution of tumoral drug metabolism to cancer therapy can only be truly ascertained through large-scale prospective studies and supported by new technologies for tumor sampling and genetic analysis such as microarrays. Only then can efforts be concentrated in the design of better prodrugs or combination therapy to improve drug efficacy and individualize therapy.


2006 ◽  
Vol 193 (7) ◽  
pp. 1014-1022 ◽  
Author(s):  
Georgios Chamilos ◽  
Michail S. Lionakis ◽  
Russell E. Lewis ◽  
Jose L. Lopez‐Ribot ◽  
Stephen P. Saville ◽  
...  

2015 ◽  
Vol 55 (12) ◽  
pp. 2705-2716 ◽  
Author(s):  
Hiroaki Iwata ◽  
Ryusuke Sawada ◽  
Sayaka Mizutani ◽  
Masaaki Kotera ◽  
Yoshihiro Yamanishi

2021 ◽  
Author(s):  
Samuel Sofela ◽  
Sarah Sahloul ◽  
Yong-Ak Song

AbstractCaenorhabditis elegans has emerged as a powerful model organism for drug screening due to its cellular simplicity, genetic amenability and homology to humans combined with its small size and low cost. Currently, high-throughput drug screening assays are mostly based on image-based phenotyping not exploiting key locomotory parameters of this multicellular model with muscles such as its thrashing force, a critical parameter when screening drugs for muscle-related diseases. In this study, we demonstrated the use of a micropillar-based force assay chip in combination with an imaging assay to evaluate the efficacy of various drugs currently used in treatment of neuromuscular diseases. Using this two-dimensional approach, we showed that the force assay was generally more sensitive in measuring efficacy of drug treatment in Duchenne Muscular Dystrophy and Parkinson’s Disease mutant worms as well as partly in Amyotrophic Lateral Sclerosis model. These results underline the potential of our force assay chip in screening of potential drug candidates for the treatment of neuromuscular diseases when combined with an imaging assay in a two-dimensional analysis approach.


2019 ◽  
Vol 24 (45) ◽  
pp. 5354-5366 ◽  
Author(s):  
Ranjith Kumar Kankala ◽  
Shi-Bin Wang ◽  
Ai-Zheng Chen

Current preclinical drug evaluation strategies that are explored to predict the pharmacological parameters, as well as toxicological issues, utilize traditional oversimplified cell cultures and animal models. However, these traditional approaches are time-consuming, and cannot reproduce the functions of the complex biological tissue architectures. On the other hand, the obtained data from animal models cannot be precisely extrapolated to humans because it sometimes results in the distinct safe starting doses for clinical trials due to vast differences in their genomes. To address these limitations, the microengineered, biomimetic organ-on-a-chip platforms fabricated using advanced materials that are interconnected using the microfluidic circuits, can stanchly reiterate or mimic the complex tissue-organ level structures including the cellular architecture and physiology, compartmentalization and interconnectivity of human organ platforms. These innovative and cost-effective systems potentially enable the prediction of the responses toward pharmaceutical compounds and remarkable advances in materials and microfluidics technology, which can rapidly progress the drug development process. In this review, we emphasize the integration of microfluidic models with the 3D simulations from tissue engineering to fabricate organ-on-a-chip platforms, which explicitly fulfill the demand of creating the robust models for preclinical testing of drugs. At first, we give a brief overview of the limitations associated with the current drug development pipeline that includes drug screening methods, in vitro molecular assays, cell culture platforms and in vivo models. Further, we discuss various organ-on-a-chip platforms, highlighting their benefits and performance in the preclinical stages. Next, we aim to emphasize their current applications toward pharmaceutical benefits including the drug screening as well as toxicity testing, and advances in personalized precision medicine as well as potential challenges for their commercialization. We finally recapitulate with the lessons learned and the outlook highlighting the future directions for accelerating the clinical translation of delivery systems.


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