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1.
Toxicol In Vitro ; 25(8): 1870-82, 2011 Dec.
Article in English | MEDLINE | ID: mdl-21651975

ABSTRACT

Drug-induced phospholipidosis is marked by an excessive accumulation of phospholipids in lysosomes which can occur after exposure to cationic amphiphilic drugs. Phospholipidosis is considered as an adverse side effect and may delay or negatively affect registration of drug candidates. Currently, the gold standard method of phospholipidosis detection is electron microscopy on tissue samples. This technique is time consuming and only performed relatively late in drug development. Therefore, in vitro screening methods for phospholipidosis are essential in early drug development. In this study, an in vitro phospholipidosis detection assay is developed with CHO-K1 and HepG2 cells by using the fluorescent marker NBD-PE and high content screening analysis. Lysosomal localization of NBD-PE was demonstrated by colocalization with Lysotracker and lamellar body formation by electron microscopy. Upon drug exposure, lysosomal NBD-PE accumulation can be visualized and quantified. Validation with 56 reference compounds, divided in 25 phospholipidosis inducers and 31 negative compounds, showed that this new in vitro assay has a high sensitivity (CHO-K1=92.0% and HepG2=88.0%) and specificity (CHO-K1=87.1% and HepG2=80.6%) for predicting phospholipidosis in vivo. Thus a selective screening tool has been developed for early selection of drug candidates with low probability for phospholipidosis.


Subject(s)
Drug Evaluation, Preclinical/methods , Drug-Related Side Effects and Adverse Reactions , Fluorescent Dyes/metabolism , Lipidoses/chemically induced , Phosphatidylethanolamines/metabolism , Phospholipids/metabolism , Amiodarone/adverse effects , Amitriptyline/adverse effects , Animals , CHO Cells , Cricetinae , Hep G2 Cells , Humans , Lipidoses/metabolism , Lysosomes/metabolism , Reproducibility of Results
2.
Article in English | MEDLINE | ID: mdl-19412856

ABSTRACT

Mutagenicity and carcinogenicity are endpoints of major environmental and regulatory concern. These endpoints are also important targets for development of alternative methods for screening and prediction due to the large number of chemicals of potential concern and the tremendous cost (in time, money, animals) of rodent carcinogenicity bioassays. Both mutagenicity and carcinogenicity involve complex, cellular processes that are only partially understood. Advances in technologies and generation of new data will permit a much deeper understanding. In silico methods for predicting mutagenicity and rodent carcinogenicity based on chemical structural features, along with current mutagenicity and carcinogenicity data sets, have performed well for local prediction (i.e., within specific chemical classes), but are less successful for global prediction (i.e., for a broad range of chemicals). The predictivity of in silico methods can be improved by improving the quality of the data base and endpoints used for modelling. In particular, in vitro assays for clastogenicity need to be improved to reduce false positives (relative to rodent carcinogenicity) and to detect compounds that do not interact directly with DNA or have epigenetic activities. New assays emerging to complement or replace some of the standard assays include Vitotox, GreenScreenGC, and RadarScreen. The needs of industry and regulators to assess thousands of compounds necessitate the development of high-throughput assays combined with innovative data-mining and in silico methods. Various initiatives in this regard have begun, including CAESAR, OSIRIS, CHEMOMENTUM, CHEMPREDICT, OpenTox, EPAA, and ToxCast. In silico methods can be used for priority setting, mechanistic studies, and to estimate potency. Ultimately, such efforts should lead to improvements in application of in silico methods for predicting carcinogenicity to assist industry and regulators and to enhance protection of public health.


Subject(s)
Carcinogens/toxicity , Models, Biological , Models, Chemical , Mutagens/toxicity , Quantitative Structure-Activity Relationship , Animals , Carcinogens/chemistry , Expert Systems , Forecasting/methods , Humans , Mutagens/chemistry , Risk Assessment , Rodentia
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