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1111 Cell Analysis Real-Time Cell-Based Toxicology Testing Might Replace Animal Testing for Product Release and Drug Safety James O’Connell*, Yama Abassi, Biao Xi, Xiaobo Wang, and Xiao Xu ACEA Biosciences, San Diego, CA, USA *Corresponding author: [email protected] methods. Botulinum toxin type A (BOTOX®) is unique among medical therapies in that it is a biological product, which means that it is derived from natural sources – in this case, from the bacterium C. botulinum. When manufacturing biological products, testing is particularly critical to ensure the consistent safety and efficacy of each batch of product. The safety and efficacy of botulinum toxin type A is assessed by using the LD50 test (Lethal Dose 50%). In the case of botulinum toxin type A, mice are injected with the active ingredient – a form of the same toxin that causes botulism food poisoning – and experience differing levels of muscular paralysis. Those given a high or powerful dose eventually die from suffocation after their respiratory muscles become paralyzed [1]. In addition, over the past 10 years Allergan, the botulinum toxin type A manufacturer, has invested more than 40 million U.S. dollars in the development of alternative assays which they hope will be able to replace animal-based assays in the manufacture of the product. The xCELLigence System, codeveloped by Roche and ACEA Biosciences, was used to conduct in vitro testing of selected microbial toxins (e.g., Clostridium botulinum toxin type A and the closely related C. difficile toxin) and in vitro cardiotoxicity testing of drug candidates. Currently, laboratory animals are required to be used in the release of pharmaceutical products such as botulinum toxin type A and in the prediction of cardiotoxicity of new drugs. Such tests consume very large numbers of laboratory animals. We believe that the xCELLigence System can essentially replace the animals used in these types of testing. Furthermore, as the xCELLigence System becomes linked to other systems, such as the Roche 454 System and the Roche NimbleGen Arrays, we expect that animal testing will be reduced significantly in pharmaceutical development in general. Background Currently, all pharmaceutical manufacturers are required by the Food and Drug Administration (FDA) in the United States and by other worldwide health regulatory agencies to protect patients and consumers by assuring product safety and efficacy through animal testing and other b 1.2 The xCELLigence System The xCELLigence System allows label-free dynamic monitoring of living cells. The core of the system is the integrated microelectronic sensor contained in each well of 1.6 Control 10x diluted positive sample 1,000x diluted positive sample 1,000x diluted positive sample + Ab 1 ng/ml Toxin A 1 ng/ml Toxin A + Ab 10 pg/ml Toxin A 1.0 pg/ml Toxin A 0.1 pg/ml Toxin A 1.4 1.0 Normalized cell index Normalized cell index a 0.8 0.6 0.4 Control Toxin A 30 ng/ml Toxin B 30 ng/ml 0.2 James O'Connell 1.2 1.0 0.8 0.6 0.4 0.2 0 0 0 10 20 Time (hours) 30 40 9 12 16 18 Time (hours) 21 24 Figure 1: Cell-based assay for C. difficle toxin A and B testing on the xCELLigence System. (a) Cytotoxic effect of toxins A and B. The toxic effects of both toxins A and B were tested using a cell-based assay on the xCELLigence System. Cytotoxic kinetic patterns are different for both toxins. (b) Sensitivity and specificity of the toxin detection using fecal samples. The system is able to detect the toxin in fecal samples with great sensitivity (1 pg/ml) and excellent specificity. Biochemica · No. 4 · 2008 1212 Cell Analysis the 96-well E-Plate. Application of a low-voltage AC current allows the microsensor to detect minor changes in the ionic environment of the well, which are related to changes in cell number, changes in cell morphology, and the strength and quality of attachment of the cells to the bottom surface of the microwell [2]. The system is ideally suited for cell-based applications such as: Cellular quality control Cell proliferation Cytotoxicity Cell adhesion and spreading Receptor-mediated signaling Barrier function xCELLigence Assays Designed to Reduce Animal Testing in Pharmaceutical Development Microbial toxin assays This cell-based assay on the xCELLigence System provides kinetic information which is not available with other technologies. Clostridium difficile is resistant to most antibiotics and its toxins A and B cause colitis. The real-time monitoring of the live cells using the xCELLigence System shows the time-dependent cytotoxic effect of toxins A and B and the unique cell death patterns associated with each specific toxin (Figure 1a). This provides a great predictive value for the in vitro cell-based assay. In addition, we have used the xCELLigence System to identify C. difficile toxins A and B [3] directly from stool samples using cell culture and specific toxin neutralization with highly specific toxin A and B antibodies. The a 1.5 fecal samples were obtained either from subjects infected with C. difficle (positive samples) or from fecal samples spiked with purified toxin A – which was added to the cells as a control. The sensitivity was determined by the fecal samples spiked with the serially diluted toxin. The specificity was determined by the neutralization of the toxic effect by specific antibody. The test as performed with the xCELLigence System is extremely sensitive – in the pg/ml range – and highly specific (Figure 1b). We also were able to use the system to detect the biological effect of botulinum toxin, which is approxiamtely 1 billion U.S. dollar/year drug. Currently there is no in vitro assay approved by the U.S. FDA (and other international regulatory bodies) for the release of botulinum toxin A. However, using the xCELLigence System, we were able to detect the effect of toxin on CNS cell lines A172 glioblastoma cell line and SH-SY5Y neuroblastoma cell line. Cells were treated with botulinum toxin at a concentration of 6.67 µg/ml, and the effect was contiuously monitored on the xCELLigence System (Figure 2). Since botulinum toxin can have a complex effect on the cells, including binding to cell surface receptors, uptake, processing, and prevention of synaptic vesicle anchoring to the cell membrane, we are currently trying to understand how these processes contribute to the cellular response detected by the xCELLigence System. We believe the quantitative detection of botulinum toxin effect on CNS cells by the xCELLigence System has the potential of replacing the required animal test and further studies are warranted to determine the extent of correlation with LD50 data derived from animal testing. Cardiotoxicity assays Similarly, another important area that the xCELLigence System could significantly impact is the cardiotoxicity b 1.6 1.5 1.3 Normalized cell index Normalized cell index 1.4 treatment 1.2 1.1 1.0 0.9 0,8 Control Botulinum toxin A 0.7 1.4 1.3 Treatment 1.2 1.1 1.0 Control Botulinum toxin A 0.9 0.8 0.6 10 15 20 25 Time (hours) 30 35 40 23 25 27 39 31 33 35 37 39 Time (hours) Figure 2: Dynamic monitoring of toxic effect of botulinum toxin on CNS cell lines using the xCELLigence System. Botulinum toxin A at a concentration of 6.67 µg/ml was tested on (a) the A172 glioblastoma cell line (ATCC) and (b) the SH-SY5Y neuroblastoma cell line (ATCC). Biochemica · No. 4 · 2008 1313 Cell Analysis Add compound 1.2 10µM 5 µM 2.5 µM 1.25 µM 0.63 µM 0.31 µM 0.16 µM DMSO 1.0 0.8 0.6 0.4 0.2 b Normalized cell index Normalized cell index a 0 165 170 175 180 185 190 195 1.0 0.9 0.8 0.7 0.6 0.5 0.4 0.3 -9.00 200 -8.00 -7.00 -6.00 Log of concentration (M) -5.00 -4.00 -7 c 6.0 x10 Figure 3: Monitoring of emetine-mediated cardiotoxicity using mouse stem cell-derived cardiomyocytes (CorAT cells) on the xCELLigence System. (a) Dose-dependent cytotoxic kinetics of emetine. (b) Dose-dependent cardiotoxic effect at 24 hours of compound treatment. (c) Time-dependent IC50 values during compound treatment. IC50 is a quantitative measure indicating how much of a particular substance is needed to inhibit a given biological process or component of a process (i.e., an enzyme, cell, cell receptor or microorganism) by half. 5.0 x10-7 IC50 (M) 4.0 x10-7 3.0 x10-7 2.0 x10-7 1.0 x10-7 0 10 12 14 16 18 20 22 24 26 28 30 32 34 36 38 40 42 44 46 48 Time after drug addition (h) assessment of drug candidates, which currently requires the extensive use of laboratory animals. A major effort has been underway to replace these tests with in vitro tests, but the most substantial shortcoming of current in vitro cardiotoxicity assessment methods is a lack of adequate predictivity [4]. The predictivity can be significantly improved by using a real-time, label-free cardiomyocyte-based assay on the xCELLigence System. Based on our preliminary study with mouse stem cellderived cardiomyocytes, the real-time, continuous monitoring of cardiomyocytes in response to exposure to test compounds allows for detection of early, transient ion channel- or receptor-mediated effects and long-term cardiomyocytotoxicity in the same living cell population (Figure 3). In our experiment, mouse stem cells were seeded onto the 96-well E-plate and then differentiated to cardiomyocytes (CorAT cells, Axiogenesis) in differentiation media. The differentiation was monitored in realtime. Once the stem cells had differentiated into specific cardiomyocytes, the compound emetine was added in different concentrations. The cardiotoxic effect was then continuously monitored in real-time for an additional 24 hours (Figure 3). In addition, with the unique features of the automatic data acquisition and high-throughput assay format, the xCELLigence System can be used in secondary screening as well, which makes the prediction and prioritization of Biochemica · No. 4 · 2008 cardiotoxicity possible even in the early stage of drug discovery. Conclusions We believe that the combination of the xCELLligence System with other high information content systems might bring a new level of accuracy and information to in vitro testing that will significantly reduce the number of animal tests required in pharmaceutical development. n References 1.Humane Society of the United States statement on Botox® product testing (www.hsus.org) 2. Abassi Y (2008) Biochemica 2:8–11 3. Yablon SA et al. (1992) Am J Phys Med Rehabil 71:102–107 4. Tomoaki I et al. (2007) Proc 6th World Congress on Alternatives & Animal Use in the Life Sciences – AATEX 14 Special Issue 457–446 Order Cat. No. INFO Product Pack Size RTCA Analyzer RTCA SP Station RTCA Control Unit E-Plates 96 E-Plates 96 1 instrument 05 228 972 001 1 instrument 05 229 057 001 1 instrument 05 229 014 001 6 plates 05 232 368 001 6 x 6 plates 05 232 376 001