SAR genotoxicity and tumorigenicity predictions for 2-MI and 4-MI using multiple SAR software.

CONTEXT

Caramel coloring chemicals, 2-methylimidazole (2-MI) and 4-methylimidazole (4-MI) have been used extensively in coloring soft drinks. The health effects of these chemicals have been concerned in the recent years.

OBJECTIVE

In the present investigation, 2- and 4-MI were subjected to three commonly used structure-activity relationship (SAR) software to understand the utility of such software as a method of alternatives to animal testing in predicting potential genotoxicity and tumorigenicity.

MATERIALS AND METHODS

Three SAR software: Osiris, ToxTree and DEREK, were used. Published procedures and/or manuals of respective software were utilized to generate data outputs and the data were evaluated in comparison with available toxicological data on 2- and 4-MI.

RESULTS

The results show that these software predicted genotoxic activity in comparison with published genotoxicity for 2- and 4-MI. However, only one of three software used (Osiris) predicted imidazole ring in 4-MI to be tumorigenic; other software predicted them to be negative.

DISCUSSION

Based on the weight of evidence of SAR results observed in this study and the genotoxicity and tumorigenicity reported using actual in vitro and in vivo animal testing in literature, it was concluded that the models used are useful for routine screening of chemicals; however, for better prediction, additional models may be employed. Software's ability to predict health effects depends on the type of structural alerts used as knowledgebase in developing such software.

CONCLUSION

Three computational software used in this study predicted genotoxic activity of 2- and 4-MI, but did not predict tumorigenicity conclusively when compared to literature reported animal data. Additional mechanistic non-clinical studies may be conducted to better understand reported tumorigenicity.