Metabolic profiling using HPLC allows classification of drugs according to their mechanisms of action in HL-1 cardiomyocytes.

Along with hepatotoxicity, cardiotoxic side effects remain one of the major reasons for drug withdrawals and boxed warnings. Prediction methods for cardiotoxicity are insufficient. High content screening comprising of not only electrophysiological characterization but also cellular molecular alterations are expected to improve the cardiotoxicity prediction potential. Metabolomic approaches recently have become an important focus of research in pharmacological testing and prediction. In this study, the culture medium supernatants from HL-1 cardiomyocytes after exposure to drugs from different classes (analgesics, antimetabolites, anthracyclines, antihistamines, channel blockers) were analyzed to determine specific metabolic footprints in response to the tested drugs. Since most drugs influence energy metabolism in cardiac cells, the metabolite "sub-profile" consisting of glucose, lactate, pyruvate and amino acids was considered. These metabolites were quantified using HPLC in samples after exposure of cells to test compounds of the respective drug groups. The studied drug concentrations were selected from concentration response curves for each drug. The metabolite profiles were randomly split into training/validation and test set; and then analysed using multivariate statistics (principal component analysis and discriminant analysis). Discriminant analysis resulted in clustering of drugs according to their modes of action. After cross validation and cross model validation, the underlying training data were able to predict 50%-80% of conditions to the correct classification group. We show that HPLC based characterisation of known cell culture medium components is sufficient to predict a drug's potential classification according to its mode of action.

Cigarette smoke condensate induces cytochromes P450 and aldo-keto reductases in oral cancer cells.

Our objective is to identify molecular factors which contribute to the increased risk of smokers for oral squamous cell carcinoma (OSCC). In the present study, we investigated the effects of cigarette smoke condensate (CSC) on gene expression profiles in different human oral cell phenotypes: normal epidermal keratinocytes (NHEK), oral dysplasia cell lines (Leuk1 and Leuk2), and a primary oral carcinoma cell line (101A). We determined differential gene expression patterns in CSC-exposed versus non-exposed cells using high-density microarray RNA expression profiling and validation by quantitative real-time RT-PCR. A set of 35 genes was specifically up- or down-regulated following CSC treatment (25microg/ml for 24h) by at least 2-fold in any one cell type. Notably, five genes of the cytochrome P450 (CYP1A1, CYP1B1) and aldo-keto reductase (AKR1C1, AKR1C3, AKR1B10) families were highly increased in expression, some of them 15- to 30-fold. The timing and extent of induction for these genes differed among the four cell phenotypes. A potential biological interaction network for the CSC response in oral cells was derived from these data, proposing novel putative response pathways. These CSC-responsive genes presumably participate in the prevention or repair of carcinogen-induced DNA damage in tobacco-related oral carcinogenesis, and may potentially be exploited for determining the severity of exposure and for correcting mutagenic damage in exposed tissues of the oral cavity.

High throughput, non-invasive and dynamic toxicity screening on adherent cells using respiratory measurements.

A dynamic respiration assay based on luminescence decay time detection of oxygen for high throughput toxicological assessment is presented. The method uses 24-well plates (OxoDishes) read with the help of a sensor dish reader placed in a humidified CO(2)-incubator. Adherent primary rat hepatocytes and the human hepatic cell line Hep G2 were exposed to known toxic compounds. Dissolved oxygen concentration, a measure of respiration, was measured with an oxygen sensor optode immobilized in the centre of each well. The cells were maintained in the dishes during the assay period and can afterwards be processed for further analyses. This dynamic, non-invasive measurement allowed calculation of 50% lethal concentrations (LC(50)) for any incubation time point giving concentration-time-dependent responses without further manipulation or removal of the cells from the incubator. Toxicokinetic profiles are compared with Sulforhodamine B assay, a common cytotoxicity assay. The novel assay is robust and flexible, very easy to carry out and provides continuous online respiration data reflecting dynamic toxicity responses. It can be adapted to any cell-based system and the calculated kinetics contributes to understanding of cell death mechanisms.

Increased EMMPRIN (CD 147) expression during oral carcinogenesis.

Gene expression profiling of oral premalignant (OPM) cells and normal oral epithelial (NOR) cells showed that EMMPRIN expression was markedly upregulated in OPM cells compared to NOR cells. We used an oral squamous cell carcinoma (OSCC) progression model composed of cell lines, organotypic cultures and tissue specimens to characterize EMMPRIN expression patterns by microarray analysis, qRT-PCR, Western blotting and immunohistochemistry. EMMPRIN levels are elevated in OPM and primary and metastatic OSCC cells as compared to NOR. EMMPRIN was detected as high and low glycosylated forms in the OPM and OSCC cellular extracts and was released in the media by OSCC cells but not by OPM cells. EMMPRIN expression in an organotypic culture model of normal and OPM mucosae mirrored the expression patterns in the respective tissues in vivo. EMMPRIN expression was limited to basal cells of normal, benign hyperkeratotic and inflammatory (lichen planus) oral mucosa. EMMPRIN expression is increased in dysplastic leukoplakias spreading to more superficial layers, and its expression levels correlated significantly with the degree of dysplasia. Primary and metastatic OSCC showed strong cell surface expression of EMMPRIN. These results suggest that EMMPRIN overexpression occurs at a very early stage of oral carcinogenesis and plays a contributing role in OSCC tumorigenesis.