Use of transepithelial electrical resistance in the study of pentachlorophenol toxicity.

The toxicity of pentachlorophenol (PCP), a polluting substance believed to exert a narcotic effect, was assayed using the Caco-2 cell line as a model. In order to assess this toxicity as fully as possible, several viability tests, each examining different endpoints, have been used. Neutral red uptake was found to be more sensitive to PCP than MTT and Alamar Blue tests. Transepithelial electrical resistance (TEER) was shown to be the most sensitive to PCP at concentrations and exposure times where the Alamar Blue, LDH leakage and Blue Dextran passage did not evidence any effect. Blue Dextran passage and optical microscopy revealed cellular detachment at concentrations where LDH and Alamar Blue showed little or no cytotoxicity. Thus, PCP seems to affect the integrity of the intestinal barrier at levels where no cytotoxicity is seen. Our results support the notion that TEER can be used as a very sensitive method for evaluating membrane-perturbing toxicants.

Use of the caco-2 model in the screening of polluting substance toxicity.

The aim of this work was to investigate the oral toxicity of representative chemicals chosen from each class of the list of 132 substances present in industrial effluents after the EEC Directive 76-464. Owing to its characterization as a model of the intestinal epithelium, the CaCo-2 cell line model was chosen. Cytotoxicity was assayed using the tetrazolium blue (MTT) test. For most of the substances, a linear correlation was observed between the octanol/water partition coefficient (log Kw) and the median inhibition concentration (IC(50)). This relationship between lipophilicity and toxicity is the hallmark of a narcotic mechanism of action. However, diethylamine appeared more toxic than the correlation would predict. Other amines were then tested (tert-butylamine, n-butylamine and benzylamine). All of these did not fit into the baseline correlation. The IC(50) were corrected by taking into account only the non-ionized, lipid insoluble, concentration at pH7.3. The amines still did not fit into the correlation, reinforcing the idea of a non-narcotic mechanism. The toxicity of a large number of substances can thus be predicted from their physico-chemical properties only when the substances exert a direct and non-specific effect. The amines appeared more toxic than substances with the same partition coefficient, showing that knowledge of the only lipophilicity is too restrictive to predict toxicity.

Statistical analysis of regulatory ecotoxicity tests.

ANOVA-type data analysis, i.e.. determination of lowest-observed-effect concentrations (LOECs), and no-observed-effect concentrations (NOECs), has been widely used for statistical analysis of chronic ecotoxicity data. However, it is more and more criticised for several reasons, among which the most important is probably the fact that the NOEC depends on the choice of test concentrations and number of replications and rewards poor experiments, i.e., high variability, with high NOEC values. Thus, a recent OECD workshop concluded that the use of the NOEC should be phased out and that a regression-based estimation procedure should be used. Following this workshop, a working group was established at the French level between government, academia and industry representatives. Twenty-seven sets of chronic data (algae, daphnia, fish) were collected and analysed by ANOVA and regression procedures. Several regression models were compared and relations between NOECs and ECx, for different values of x, were established in order to find an alternative summary parameter to the NOEC. Biological arguments are scarce to help in defining a negligible level of effect x for the ECx. With regard to their use in the risk assessment procedures, a convenient methodology would be to choose x so that ECx are on average similar to the present NOEC. This would lead to no major change in the risk assessment procedure. However, experimental data show that the ECx depend on the regression models and that their accuracy decreases in the low effect zone. This disadvantage could probably be reduced by adapting existing experimental protocols but it could mean more experimental effort and higher cost. ECx (derived with existing test guidelines, e.g., regarding the number of replicates) whose lowest bounds of the confidence interval are on average similar to present NOEC would improve this approach by a priori encouraging more precise experiments. However, narrow confidence intervals are not only linked to good experimental practices, but also depend on the distance between the best model fit and experimental data. At least, these approaches still use the NOEC as a reference although this reference is statistically not correct. On the contrary, EC50 are the most precise values to estimate on a concentration response curve, but they are clearly different from the NOEC and their use would require a modification of existing assessment factors.

The biological monitoring of toxic impacts on the environment.

The monitoring of the environment, for a long time confined to the analysis of some chemical products, today opens itself up to biological methods. The evaluation of the structure and functioning of the living communities within the ecosystem, the amount of pollution given off by the reactions of biochemical systems, and the toxic effects of chemical substances which allow biologists to estimate the diagnosis of the situation of the ecosystem. These tools are only now imposed to the member nations of the European Union through the water framework directive which has recently been published. This convergence between scientific advances and the needs of the environmental management opens the way for the development of biomonitoring technologies.

Freshwater fish cytochrome P450-dependent enzymatic activities: a chemical pollution indicator.

Fish mixed function oxidase activities were measured during four sampling campaigns in the river Durance in the southeast of France. Six hundred fish belonging to four species were caught for this study; the use of factorial analysis emphasizes the strong pollution dependence of the P450-dependent enzymatic activities which vary with the season, the species, and the sex of the fish. Regression analysis of the data allowed prediction of the type of location from which the fish came (polluted or unpolluted) for 80% of the fish. This supports use of such activities as chemical pollution indicators.

A method for cooperative or noncooperative binding studies using nonlinear regression analysis on a microcomputer.

Ligand-macromolecule interactions are studied by nonlinear regression analysis performed using a microcomputer (SYMAG-Micromachine 3000/Z). The basic phenomenon is described by the Clark equation B = (Formula: see text), where B and F represent bound and free ligand, respectively, Ni the total concentration of binding sites, and Ki their corresponding affinity constant. The programs of calculation have been extended also for Hill and for Adair equations using the Gauss algorithm described by E. E. Beaulieu and J. P. Raynaud [Eur. J. Biochem. 13, 293 (1970)]. A statistical test of F type is introduced to test the quality of the fit and compare the representations of the phenomenon using the different equations.

Influence of the sample preservation mode to assess the chronic toxicity of an industrial effluent.

To improve the preservation of effluent samples, the contribution of refrigeration, freezing, and freeze-drying techniques to maintain the toxic characteristics of the samples was evaluated. To achieve this evaluation one acute test, three long-term toxicity tests, a biochemical test (P450 induction), and a mutagenicity test (Ames test) were used on the same industrial effluent. Refrigeration and freezing demonstrated a similar capacity of preservation. However, freezing should be recommended when the delay between sampling and the start of the bioassay exceeds 48 hr. Freeze-drying did not prove to be useful in that case but this could be due to methodological problems. Nevertheless, this technique allowed the detection of mutagenic compounds because of its aptitude to concentrate effluent samples. For the toxic evaluation of the samples the advantages of the use of a battery of biotests were confirmed and it was noted that the cladoceran (Ceriodaphnia dubia) reproduction test and the algal (Selenastrum capricornutum) growth test had a higher sensitivity within the three tests used.

Mechanism of action of gentamicin components. Characteristics of their binding to Escherichia coli ribosomes.

The binding of gentamicin (Gm) to Escherichia coli ribosomes and ribosomal subunits has been studied. By means of equilibrium dialysis and of statistical interpretation of the data it was found that [3H]gentamicin C2 and 6'-N-[3H]methylgentamicin C1a interact with three classes of sites on tight-coupled 70-S species: a first class concerning the tight and non-cooperative interaction with one drug molecule (Kd = 0.6 microM), a second class in which about five Gm molecules bind cooperatively (mean Kd = 10 microM), and a third class of very high capacity in which up to 70 drug molecules may interact. The extreme cooperativity of the third class of sites induces such an increase in the affinity for Gm that it may allow the shift of molecules already bound from high-affinity sites towards lower-affinity sites. The alteration of a ribosomal protein, L6, in a gentamicin-resistant mutant of E. coli abolished the multiclass and the cooperative aspects of ribosomes--gentamicin interaction. The large ribosomal subunits from E. coli MRE 600 strain interact cooperatively with Gm, whereas 50-S particles from the resistant mutant bind the drug in a diffuse way with high capacity and low affinity. The small subunits from both strains behave identically towards Gm. A good correlation is observed in comparing the gentamicin concentrations capable of saturating the different ribosomal classes of sites with concentrations inducing its multiphasic effects on protein synthesis.

Biomarker responses in juvenile rainbow trout (Oncorhynchus mykiss) after single and combined exposure to low doses of cadmium, zinc, PCB77 and 17beta-oestradiol.

The objective of this study was to examine (i) the biochemical responses of rainbow trout exposed to sublethal water concentrations of the metals cadmium (Cd) (1.5 microg l(-1)) and zinc (Zn) (150 microg l(-1)); and (ii) the potential combined effects when applied in mixture (Cd/Zn) with and without co-exposure to model organic chemicals 3,3',4,4'-tetrachlorobiphenyl (PCB77) (1 mg kg (-1)) and 17beta-oestradiol (E2) (0.5 mg kg(-1)). After 21 days of exposure, several biomarkers were assessed in the liver (enzymatic and nonenzymatic antioxidants, heat shock proteins [HSP70 and HSP60], ethoxyresorufin-O-deethylase [EROD]) and in the plasma (vitellogenin [Vtg], aminotransferases). Plasma aminotransferases were not affected, whereas the other biomarkers showed different patterns of response depending on the treatment. For example, Cd, and Zn to a lesser extent, induced an adaptive response in the liver shown by an increase in antioxidant defences (total glutathione [GSH], superoxide dismutase, Trolox equivalent antioxidant capacity [TEAC]), without any impairment of GSH redox status or induction of heat shock proteins. Antagonistic effects were observed in GSH-related biomarkers after Cd/Zn exposure. PCB77 strongly induced EROD activity, HSP70 and TEAC. Co-exposure with metals did not modulate significantly the effects of PCB77. E2 induced Vtg and inhibited liver antioxidants and basal EROD activity. These inhibitory effects were suppressed in fishes exposed to E2 + Cd/Zn, suggesting additive effects of E2 and metals. In addition, E2-induced Vtg was not altered by metals. Multivariate analyses confirmed some correlation between the biomarkers. The use of complementary biomarkers is necessary to discriminate different treatments and to highlight interactive effects.