High Content Screening for in vitro toxicity testing
17
SHARES
Posted: 20 June 2011 |
The application of High Content Screening for in vitro toxicity testing is a relatively new approach in the preclinical research phase of drug development. A battery of tests have been developed for screening on general parameters such as cytotoxicity, while more dedicated assays are available with respect to the identification of genotoxicity, phospholipidosis, steatosis and cholestasis. All these tests are very beneficial within the pharmaceutical industry for the selection of appropriate candidates for drug development as well as for reduction of the attrition rate.
High content screening (HCS) is quickly growing in popularity within the field of in vitro toxicity testing. The maturity of HCS equipment and software has made HCS accessible for many technicians and scientists working in the area of cellular and molecular biology. Although this technique was introduced in the mid 1990’s, the simplification in the use of the software programs, the growth in computer storage capacities as well as the improved qualities of resolution of the digital microscopic cameras has largely increased the accessibility of this equipment. At the start of HCS technology, many scientists were sceptical about this technique as image-based mathematical algorithms had to be written for the analysis.
Figure 1 High content screening analysis of HepG2 cells stained under control (A,C,E,G), or 24 (B,D,F) and 72 (H) h incubations with 10-6 / 10-5 M doxorubicin with different fluorescent probes, i.e.. Hoechst 33342, Fluo-4, TOTO-3 and TMRM
The application of High Content Screening for in vitro toxicity testing is a relatively new approach in the preclinical research phase of drug development. A battery of tests have been developed for screening on general parameters such as cytotoxicity, while more dedicated assays are available with respect to the identification of genotoxicity, phospholipidosis, steatosis and cholestasis. All these tests are very beneficial within the pharmaceutical industry for the selection of appropriate candidates for drug development as well as for reduction of the attrition rate.
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High content screening (HCS) is quickly growing in popularity within the field of in vitro toxicity testing. The maturity of HCS equipment and software has made HCS accessible for many technicians and scientists working in the area of cellular and molecular biology. Although this technique was introduced in the mid 1990’s, the simplification in the use of the software programs, the growth in computer storage capacities as well as the improved qualities of resolution of the digital microscopic cameras has largely increased the accessibility of this equipment. At the start of HCS technology, many scientists were sceptical about this technique as image-based mathematical algorithms had to be written for the analysis. However, today many have become enthusiastic about HCS, as HCS can resolve multiple biological issues on the level of individual cells improving the currently used spectrophoto-, fluoro- and luminometric high throughput screening (HTS) assays that only give a mean value of the cell population present per well. The amazing thing with HCS is that you can visualise and score each individual cell for different parameters at multiple wave lengths at a fixed time point. You can even follow biological changes, like uptake, excretion and accumulation, as if you are watching a movie in real time. As all the analytical tools have been pre-programmed or can easily be developed by the suppliers of the equipment, this technology is becoming a standard tool in laboratories for cellular biology.
A variety of HCS instruments are available today1-3. The instruments are used within a broad range of applications, in which the visualisation is based on the allocation of proteins in the cell by tagging the protein of interest with green fluorescence protein or by specific staining with a largely expanding market of specific fluorescent markers or antibodies. In this way, the distribution of e.g. glycoprotein cAMP receptors in the membrane can be monitored and, after activation, their internalisation into the cell can be followed4. Also the relocation of nuclear hormone receptors from the cytosol into the nucleus can be visualised5. Another way is to use HCS in proliferation assays in the area of oncology, in which specific cell growth inhibitors can be identified, such as topoisomerase inhibitors, enzyme inhibitors of the purine, pyrimidine or di- and tetrahydrofolate synthesis or in case of leukemia, breast and prostate tumours by anti-hormones of specific nuclear hormone receptors, like the retinoic acid, oestrogen or androgen receptor.
Also in the field of in vitro toxicology, cellular assays are of particular interest for the early toxicity screening of compounds in the process of drug development within the pharmaceutical industry. While clinical efficacy and ADME were the leading forces for drug failure up to 1990, toxicity and safety issues in preclinical and clinical research became the main causes of attrition in the last two decennia with rates in the order of 30 to 40 per cent6,7. A strategy to overcome these toxicity issues is the implementation of early toxicity screening during the lead optimisation phase with an in vitro screening battery based on HTS and/or HCS8,9. In this review, HCS and in particular the analysis of cytotoxicity, genotoxicity, phospholipidosis, steatosis and cholestasis will be covered. As liver failure is one of the main causes of human toxicity, human and/or rat primary hepatocytes or permanent human liver HepG2 or HepaRG cell lines are commonly used in this respect in combination with permanent Chinese hamster ovary (CHO) or lung (V79) cell lines. Specific examples will be given below. In vitro cytotoxicity testing with HTS has already been performed for a very long time with MEIC, ACuteTox and ToxCast studies10-12. Such tests were also carried out in our laboratory13,14 with a set of 249 compounds using HepG2 cells. Compounds inducing liver necrosis and cell growth inhibition were easily recognised, but many compounds inducing genotoxicity, phospholipidosis, steatosis and cholestasis were missed using these HTS techniques. The sensitivity prediction for in vivo liver toxicity reached a level of 46 per cent (52/113), while selectivity appeared to be very high with 96 per cent (124/130), leading to a predictivity of 73 per cent (182/249). The sensitivity of in vitro cytotoxicity assays can be improved by using HCS, which caused a breakthrough as shown by Peter O’Brien and his colleagues15. They showed that both HepG2 cells and primary hepatocytes can be used for the individual cellular toxicity scoring by microscopy in a 96-well plate. They used relatively simple staining techniques, more or less comparable to HTS. The fluorescent dyes that are commonly used to detect cellular toxicity are: 1) Hoechst 33342 or DAPI, 2) Fluo-4 AM, 3) TMRM or TMRE, 4) TOTO-3 or YOYO-1 and 5) DRAQ5TM for, respectively, the measurement of the DNA content, the intracellular ionised calcium status, the mitochondrial membrane potential, the plasma membrane permeability and the localisation of both the nucleus and cytoplasm. In Figure 1, doxorubicin treatment in HepG2 cells is compared to controls, showing with Hoechst a clear decrease in the cell number, with FLUO-4 AM an accumulation in the cytoplasm and with TOTO-3 in the nucleus, while the mitochondrial membrane potential was completely reduced as shown with TMRM. All these parameters can be analysed simultaneously within the same cell, which is the particular strength of HCS analysis. For 243 drugs with varying degrees of toxicity in vivo, HCS appeared to have a sensitivity of 93 per cent and a specificity of 98 per cent15. These HCS data were supported by Vanparys17 and Abraham et al.18. Vanparys studied 10 compounds, being toxic in the clinic and being non-toxic in vivo in rats, and demonstrated that eight of these compounds could be identified as cytotoxic in HepG2 cells. Abraham et al.18 measured several anti-infective, antilipidemic and antidiabetic drugs, and showed that trovafloxacin, cerivastatin and troglitazone already caused cytotoxic effects in HepG2 cells at dose levels being five to 20-fold lower than those of closely related drugs, being less toxic or even non-toxic in the clinic. The data obtained with HepG2 cells correlated very accurately with the clinical situation, whereas data obtained with primary human and rat hepatocytes only reached a sensitivity of 60 per cent and 70 per cent, respectively19,20. This implies that for in vitro cytotoxicity analysis the HCS cellular observations with HepG2 cells improve the sensitivity of cytotoxicity analysis tremendously towards 93 per cent, whereas with HTS only those compounds influencing cellular proliferation, being approximately 50 per cent of the toxic compounds according to HCS, seem to be classified properly.
Figure 1 High content screening analysis of HepG2 cells stained under control (A,C,E,G), or 24 (B,D,F) and 72 (H) h incubations with 10-6 / 10-5 M doxorubicin with different fluorescent probes, i.e.. Hoechst 33342, Fluo-4, TOTO-3 and TMRM
For in vitro screening of genotoxicity and carcinogenicity, the FDA and ICH guidelines require, amongst others, an in vitro chromo – somal aberration or in vitro micronucleus assay. In the chromosome aberration test, drug induced irregularities in the chromosomes are determined, whereas in the in vitro micronucleus assay the number of small (micro)-nuclei in close proximity to the nuclear envelopes are counted. When looking at the predictivity of the regulatory approved in vitro genotoxicity assays for in vivo genotoxicity, using a set of 62 ECVAM compounds21,22, a high sensitivity of 100 per cent but a low specificity of 55 per cent is observed (Table 1). The high number of false positive scores in combination with the labour-intensive character of these assays makes them not very suitable as pre-selection tools for early genotoxicity screening. Here HCS screening again can play a pivotal role as with HCS, 50 compounds can easily be screened within one week in the in vitro micronucleus test, whereas with the regular test the maximal throughput reaches only two4. An additional advantage is that with HCS only one to five milligrams of compound is needed23. An automated in vitro micronucleus assay in CHO-K1 has already been described by Diaz et al.24. We compared both CHO-K1 and HepG2 cells with this technique using the 62 ECVAM compounds (Table 1, page 50). The fluorophore Hoechst 33342 was combined with DRAQ5TM for the staining of the nucleus and the cytoplasm and specific algorithms were developed for the segregation of mono – nucleated from binucleated cells and the identification of the micronuclei in those binucleated cells (Figure 2). The specificity scores (Table 1) are much better than with the regular test batteries25. In addition, HTS with HepG2 p53 promoter based luciferase assays score much better in this respect26. The activation of the p53 protein is an early indicator of DNA damage in eukaryotic cells. Moreover, with HCS the activation of p53 can be visualised and quantified with ellipticin27 and doxorubicin (Figure 3). In this case, both HCS and HTS assays are very informative with a highly improved rate of specificity. An additional advantage of HCS is that with this micronucleus test, aneugens can be segregated from clastogens, as large micronuclei only manifest themselves with aneugens, while small micronuclei are seen in case of the clastogens. Moreover, the double strand break biomarker serine 139-phosphorylated histone (γH2AX) assay can be incorporated for the assessment of this specific mechanism of action27,28.
Figure 2 In vitro micronucleus test with CHO-K1 cells under control conditions (A) and in the presence of 10-5 M Taxol (B), showing the identification of many mononucleated (yellow) and binucleated cells (green) as well as many micronuclei ( pink)
Figure 3 Control (A) and activated (B) status of the p53 protein in CHO-K1 cells
Table 1 Predictive values (%) against in vivo data of the in vitro chromosomal aberration, mouse lymphoma TK, and micronucleus (IVMN) tests23, the HCS – IVMN tests in CHO-K1 and HepG2 cells26, with respect to the ECVAM compound list, including 20 genotoxic and 42 non-genotoxic compounds28 and HepG2 luciferase assays27 (Westerink et al., 2010) and a selection of 56 compounds for phospholipidosis in CHO-K1 and HepG2 cells35.
Assays
Sensitivity
Specificity
Predictivity
Regular in vitro mammalian genotoxicity tests*
ECVAM List
100.0
54.8
69.4
HCS/HTS genotoxicity tests
HCS-IVMN-CHO-K1
HCS-IVMN-HepG2
HTS-Luciferase-HepG2
80.0
60.0
85.0
88.0
88.0
81.0
85.0
79.0
82.0
Phospholipidosis tests
HCS-PLD-CHO-K1
HCS-PLD-HepG2
92.0
88.0
87.1
80.6
89.3
83.9
Phospholipidosis can occur as a hereditary lysosomal storage disorder, like Niemann-Pick disease, but also upon exposure to specific drugs. The excessive accumulation of lipids in the lysosomes occurs most frequently after treatment with cationic amphiphilic drugs with a hydrophobic domain and a hydrophilic side chain. Phospholipidosis is recognised by lamellar bodies in the lysosomes and is often accompanied by the vacuolisation of cells and infiltration of foamy macrophages into tissue. For analysis of phospholipidosis, three fluorophores, Nile Red, LipidTox and NBD-PE, are commonly used29-33. The best signal to noise ratio has been obtained with NBD-PE and an optimal in vitro test can be developed only with flow cytometry or HCS, as for HTS all three fluorophores are too weak for a proper analysis. As shown in Figure 4, upon treatment with the phospholipisosis inducing compound imipramine, NBD-PE accumulates in a concentration dependent way in the cytosol of CHO-K1 cells and more particularly in lysosomes. Analysis with a reference set of 56 compounds revealed very good sensitivity, specificity and predictivity data (Table 1)34. These data are in line with those of flow cytometry31,32 and HCS29,30.
Figure 4 Visual accumulation of NBD-PE in CHO-K1 cells after exposure to 0.0316, 1 and 31.6 μM of imipramine and by calculation of the NBD-PE intensity, showing cell death (solid line) and percentage of fluorescence of NBD-PE compared with the effect of the positive control, 3.16 μM Amiodarone, set at 100 per cent (gray bars) ± SEM. *=significant induction of phospholipidosis (P<0.025)
For the identification of steatosis, Nile Red, Oil red O, and LipidTox were used35,36. To improve the detection of steatosis, fatty acid mixtures can be added to the incubation medium of HepG2 cells, in which a low proportion of palmitic acid (oleate/palmitate (2:1 ratio)) is associated with mild toxic effects, representing a benign chronic steatosis, while a high proportion (oleate/ palmitate (0:3 ratio)) induces an acute and harmful effect by excessive fat accumulation35. As Nile Red and LipidTox are markers that are also used for the analysis of phospholipidosis, a proper discrimination of the mechanism of action with these dyes is hampered. The use of Bodipy 493/503 for steatosis can resolve these problems, as the latter has been shown to be able to discriminate the neutral lipid staining in the cytoplasm from the lysosomal storage effects of the phospholipidotic compounds33,37.
For the assessment of cholestasis it is important to have a hepatocyte culture in which bile canaliculi can develop. Two model systems are described in which primary rat hepatocytes are co-cultured with 3T3 fibroblasts or endothelial cells. In one system, 10 per cent foetal calf serum is added to the culture medium with a reduced oxygen tension ranging from 10 to even three per cent38,39, while in the other system serum was omitted and the oxygen tension was enhanced towards 95 per cent40. Although apparently contra – dictory, both procedures maintain the cytochrome P450 enzyme activities at very high levels and lead to the formation of bile canaliculi. With both procedures, bile canaliculi could be demonstrated by the uptake of 5-(and-6)-carboxy-2′,7′-dichlorofluorescein diacetate (DCF) by the hepatocytes. Within the hepatocytes, DCF is cleaved by esterases, and excreted via ion transporters into the bile canaliculi, which can be visualised by HCS. Cholestatic compounds will prevent this clearance into the bile canaliculi and may therefore lead to a reduced excretion. Another way to examine these ion transporters is to make a sandwich culture41,42 or a monolayer in which the apical uptake versus basal excretion is monitored44. Besides DCF, other dyes, like cholyl-L-lysyl-fluorescein (CLF) and cholylglycylamido- fluorescein (CGamF), are more commonly used to demonstrate disturbances in the bile acid secretion41-44. However, the uptake and excretion of these dyes is relatively fast and further applicability within HTS and HCS has to be established.
Conclusion
A battery of novel in vitro toxicity assays for high content screening has become available for implementation. These novel methods will be of high value in addition to the current regulatory required studies, because they mimic the in vivo biological complexity and predictions in a better way than the currently used HTS, spectrophoto- fluoro- and lumino – metric test systems for cytotoxicity, genotoxicity, phospholipidosis and steatosis. With respect to cholestasis more in depth analysis is needed, but promising tools are presented. Thus if these specific mechanistic tools are included in in vitro toxicity screening procedures, this may have a significant impact on the preclinical development and on the interpretation of the human relevance. In vitro HCS in drug development may have a direct affect on lowering the attrition rate and a reduction in animal use.
Acknowledgements
We would like to thank Masters students Koen Scheerders, Tom Schirris and Jørn Havinga for their assistance with the set-up of the different HCS procedures.
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The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.
zmember_logged
This session cookie is served by our membership/subscription system and controls whether you are able to see content which is only available to logged in users.
Performance cookies are includes cookies that deliver enhanced functionalities of the website, such as caching. These cookies do not store any personal information.
Cookie
Description
cf_ob_info
This cookie is set by Cloudflare content delivery network and, in conjunction with the cookie 'cf_use_ob', is used to determine whether it should continue serving “Always Online” until the cookie expires.
cf_use_ob
This cookie is set by Cloudflare content delivery network and is used to determine whether it should continue serving “Always Online” until the cookie expires.
free_subscription_only
This session cookie is served by our membership/subscription system and controls which types of content you are able to access.
ls_smartpush
This cookie is set by Litespeed Server and allows the server to store settings to help improve performance of the site.
one_signal_sdk_db
This cookie is set by OneSignal push notifications and is used for storing user preferences in connection with their notification permission status.
YSC
This cookie is set by Youtube and is used to track the views of embedded videos.
Analytics cookies collect information about your use of the content, and in combination with previously collected information, are used to measure, understand, and report on your usage of this website.
Cookie
Description
bcookie
This cookie is set by LinkedIn. The purpose of the cookie is to enable LinkedIn functionalities on the page.
GPS
This cookie is set by YouTube and registers a unique ID for tracking users based on their geographical location
lang
This cookie is set by LinkedIn and is used to store the language preferences of a user to serve up content in that stored language the next time user visit the website.
lidc
This cookie is set by LinkedIn and used for routing.
lissc
This cookie is set by LinkedIn share Buttons and ad tags.
vuid
We embed videos from our official Vimeo channel. When you press play, Vimeo will drop third party cookies to enable the video to play and to see how long a viewer has watched the video. This cookie does not track individuals.
wow.anonymousId
This cookie is set by Spotler and tracks an anonymous visitor ID.
wow.schedule
This cookie is set by Spotler and enables it to track the Load Balance Session Queue.
wow.session
This cookie is set by Spotler to track the Internet Information Services (IIS) session state.
wow.utmvalues
This cookie is set by Spotler and stores the UTM values for the session. UTM values are specific text strings that are appended to URLs that allow Communigator to track the URLs and the UTM values when they get clicked on.
_ga
This cookie is set by Google Analytics and is used to calculate visitor, session, campaign data and keep track of site usage for the site's analytics report. It stores information anonymously and assign a randomly generated number to identify unique visitors.
_gat
This cookies is set by Google Universal Analytics to throttle the request rate to limit the collection of data on high traffic sites.
_gid
This cookie is set by Google Analytics and is used to store information of how visitors use a website and helps in creating an analytics report of how the website is doing. The data collected including the number visitors, the source where they have come from, and the pages visited in an anonymous form.
Advertising and targeting cookies help us provide our visitors with relevant ads and marketing campaigns.
Cookie
Description
advanced_ads_browser_width
This cookie is set by Advanced Ads and measures the browser width.
advanced_ads_page_impressions
This cookie is set by Advanced Ads and measures the number of previous page impressions.
advanced_ads_pro_server_info
This cookie is set by Advanced Ads and sets geo-location, user role and user capabilities. It is used by cache busting in Advanced Ads Pro when the appropriate visitor conditions are used.
advanced_ads_pro_visitor_referrer
This cookie is set by Advanced Ads and sets the referrer URL.
bscookie
This cookie is a browser ID cookie set by LinkedIn share Buttons and ad tags.
IDE
This cookie is set by Google DoubleClick and stores information about how the user uses the website and any other advertisement before visiting the website. This is used to present users with ads that are relevant to them according to the user profile.
li_sugr
This cookie is set by LinkedIn and is used for tracking.
UserMatchHistory
This cookie is set by Linkedin and is used to track visitors on multiple websites, in order to present relevant advertisement based on the visitor's preferences.
VISITOR_INFO1_LIVE
This cookie is set by YouTube. Used to track the information of the embedded YouTube videos on a website.